[{"question": "What are the percentages of various educational attainments among respondents?", "labels": [{"query": "SELECT EdLevel, COUNT(EdLevel) * 100.0 / (SELECT COUNT(EdLevel) FROM Responses) FROM Responses WHERE NOT EdLevel IS NULL GROUP BY EdLevel", "results": [["Associate degree (A.A., A.S., etc.)", 3.1907517079103815], ["Bachelor\u2019s degree (B.A., B.S., B.Eng., etc.)", 41.72416536892001], ["Master\u2019s degree (M.A., M.S., M.Eng., MBA, etc.)", 23.351482841326316], ["Primary/elementary school", 2.165437122753572], ["Professional degree (JD, MD, Ph.D, Ed.D, etc.)", 4.418401100337603], ["Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)", 10.11333022631944], ["Some college/university study without earning a degree", 13.359780841849204], ["Something else", 1.6766507905834744]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution on how the respondents learn to code?", "labels": [{"query": "SELECT LearningToCodeMethods.name, COUNT(LearningToCodeMethods.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_LearningToCodeMethods) FROM LearningToCodeMethods JOIN Response_LearningToCodeMethods ON LearningToCodeMethods.id = Response_LearningToCodeMethods.LearningToCodeMethods_id GROUP BY LearningToCodeMethods.id", "results": [["Books / Physical media", 51.79608272589348], ["Colleague", 23.41124533725745], ["Friend or family member", 11.334314362958146], ["Hackathons (virtual or in-person)", 8.022769013152642], ["Online Courses or Certification", 49.280768397157296], ["On the job training", 46.06276308134561], ["Other online resources (e.g., videos, blogs, forum)", 80.1295871690451], ["School (i.e., University, College, etc)", 50.14316188129541], ["Coding Bootcamp", 9.812577712375802], ["Other (please specify):", 6.218130796345094]]}, {"query": "SELECT LearningToCodeMethods.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_LearningToCodeMethods JOIN LearningToCodeMethods ON Response_LearningToCodeMethods.LearningToCodeMethods_id = LearningToCodeMethods.id GROUP BY LearningToCodeMethods.Name", "results": [["Books / Physical media", 50.91271977036239], ["Coding Bootcamp", 9.645227843559383], ["Colleague", 23.01197524219591], ["Friend or family member", 11.141011840688913], ["Hackathons (virtual or in-person)", 7.885943667025475], ["On the job training", 45.27717976318622], ["Online Courses or Certification", 48.44030319339792], ["Other (please specify):", 6.11208288482239], ["Other online resources (e.g., videos, blogs, forum)", 78.76300681736635], ["School (i.e., University, College, etc)", 49.287988876928594]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "By what percentages of participants are the online resources used?", "labels": [{"query": "SELECT LearningToCodeOnlineResources.name, COUNT(LearningToCodeOnlineResources.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_LearningToCodeOnlineResources) FROM LearningToCodeOnlineResources JOIN Response_LearningToCodeOnlineResources ON LearningToCodeOnlineResources.id = Response_LearningToCodeOnlineResources.LearningToCodeOnlineResources_id GROUP BY LearningToCodeOnlineResources.id", "results": [["Formal documentation provided by the owner of the tech", 90.36156612065521], ["Blogs with tips and tricks", 76.68654757148565], ["Books", 43.422179099366474], ["Recorded coding sessions", 28.094857599452087], ["How-to videos", 60.14068831687689], ["Video-based Online Courses", 49.4107071514183], ["Written-based Online Courses", 36.11237943039781], ["Auditory material (e.g., podcasts)", 7.949032589464072], ["Online challenges (e.g., daily or weekly coding challenges)", 22.179099366474517], ["Written Tutorials", 59.94520860681468], ["Click to write Choice 20", 42.49186690257405], ["Stack Overflow", 82.55950002853719], ["Interactive tutorial", 26.028765481422294], ["Certification videos", 13.306888876205695], ["Programming Games", 5.894355345014554], ["Other (Please specify):", 3.253238970378403]]}, {"query": "SELECT LearningToCodeOnlineResources.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_LearningToCodeOnlineResources JOIN LearningToCodeOnlineResources ON Response_LearningToCodeOnlineResources.LearningToCodeOnlineResources_id = LearningToCodeOnlineResources.id GROUP BY LearningToCodeOnlineResources.Name", "results": [["Auditory material (e.g., podcasts)", 6.246636167922497], ["Blogs with tips and tricks", 60.26305166846071], ["Books", 34.1227125941873], ["Certification videos", 10.457032651596698], ["Click to write Choice 20", 33.39163975601004], ["Formal documentation provided by the owner of the tech", 71.00937387872264], ["How-to videos", 47.260719411553644], ["Interactive tutorial", 20.454341585934696], ["Online challenges (e.g., daily or weekly coding challenges)", 17.42913527090061], ["Other (Please specify):", 2.5565123789020454], ["Programming Games", 4.631996770721206], ["Recorded coding sessions", 22.07795120200933], ["Stack Overflow", 64.87822927879441], ["Video-based Online Courses", 38.82871367061356], ["Written Tutorials", 47.107104413347685], ["Written-based Online Courses", 28.37840868317187]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentages of respondents used which online learning platforms to learn coding?", "labels": [{"query": "SELECT LearningToCodePlatforms.name, COUNT(LearningToCodePlatforms.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_LearningToCodePlatforms) FROM LearningToCodePlatforms JOIN Response_LearningToCodePlatforms ON LearningToCodePlatforms.id = Response_LearningToCodePlatforms.LearningToCodePlatforms_id GROUP BY LearningToCodePlatforms.id", "results": [["Other", 21.067536951127416], ["Codecademy", 24.314920703420004], ["edX", 14.931492070342001], ["Udemy", 65.53026216420326], ["Pluralsight", 22.82608695652174], ["Coursera", 34.62077894055454], ["Udacity", 10.767073039162801], ["Skillsoft", 2.0336605890603088]]}, {"query": "SELECT LearningToCodePlatforms.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_LearningToCodePlatforms JOIN LearningToCodePlatforms ON Response_LearningToCodePlatforms.LearningToCodePlatforms_id = LearningToCodePlatforms.id GROUP BY LearningToCodePlatforms.Name", "results": [["Codecademy", 10.108315392895587], ["Coursera", 14.392716182274848], ["Other", 8.75829745245784], ["Pluralsight", 9.489370290635092], ["Skillsoft", 0.8454431288123431], ["Udacity", 4.476139217796915], ["Udemy", 27.24255471833513], ["edX", 6.207391460351633]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the average number of years the respondents have been coding by country?", "labels": [{"query": "SELECT Country, AVG(YearsCode) FROM Responses WHERE NOT Country IS NULL GROUP BY Country", "results": [["Afghanistan", 8.084745762711865], ["Albania", 7.982142857142857], ["Algeria", 6.121951219512195], ["Andorra", 11.266666666666667], ["Angola", 8.454545454545455], ["Antigua and Barbuda", 14.6], ["Argentina", 13.261324041811847], ["Armenia", 12.409090909090908], ["Australia", 17.308139534883722], ["Austria", 14.666990291262136], ["Azerbaijan", 7.076923076923077], ["Bahamas", 5.0], ["Bahrain", 8.647058823529411], ["Bangladesh", 6.3796680497925315], ["Barbados", 8.2], ["Belarus", 11.140625], ["Belgium", 14.461451247165533], ["Belize", 13.6], ["Benin", 3.823529411764706], ["Bhutan", 2.6666666666666665], ["Bolivia", 8.80952380952381], ["Bosnia and Herzegovina", 10.376470588235295], ["Botswana", 5.5], ["Brazil", 12.653071253071253], ["Brunei Darussalam", 8.0], ["Bulgaria", 12.675675675675675], ["Burkina Faso", 15.75], ["Burundi", 5.0], ["Cambodia", 9.733333333333333], ["Cameroon", 5.233333333333333], ["Canada", 15.211912943871706], ["Cape Verde", 3.5], ["Central African Republic", 1.0], ["Chile", 12.126016260162602], ["China", 9.546583850931677], ["Colombia", 10.075268817204302], ["Congo, Republic of the...", 5.5], ["Costa Rica", 14.05813953488372], ["Croatia", 13.079584775086506], ["Cuba", 10.696969696969697], ["Cyprus", 13.716049382716049], ["Czech Republic", 13.791744840525329], ["C\u00f4te d'Ivoire", 8.642857142857142], ["Democratic People's Republic of Korea", 12.5], ["Democratic Republic of the Congo", 4.0], ["Denmark", 15.530035335689046], ["Djibouti", 25.0], ["Dominica", 14.0], ["Dominican Republic", 9.43661971830986], ["Ecuador", 10.877777777777778], ["Egypt", 6.527397260273973], ["El Salvador", 11.205882352941176], ["Estonia", 13.163793103448276], ["Ethiopia", 5.168674698795181], ["Fiji", 12.142857142857142], ["Finland", 14.592541436464089], ["France", 13.733926128590971], ["Gabon", 5.0], ["Georgia", 12.228915662650602], ["Germany", 14.634620651876197], ["Ghana", 5.611111111111111], ["Greece", 13.357710651828299], ["Grenada", 20.0], ["Guatemala", 11.683333333333334], ["Guinea", 8.0], ["Guinea-Bissau", 42.0], ["Guyana", 11.0], ["Haiti", 5.75], ["Honduras", 10.192307692307692], ["Hong Kong (S.A.R.)", 11.589108910891088], ["Hungary", 13.086092715231787], ["Iceland", 17.31578947368421], ["India", 7.551780227724562], ["Indonesia", 7.2860082304526745], ["Iran, Islamic Republic of...", 9.266199649737302], ["Iraq", 6.78], ["Ireland", 16.120689655172413], ["Isle of Man", 15.076923076923077], ["Israel", 13.794535519125683], ["Italy", 15.705753424657534], ["Jamaica", 11.857142857142858], ["Japan", 14.557422969187675], ["Jordan", 9.083333333333334], ["Kazakhstan", 10.022222222222222], ["Kenya", 6.033195020746888], ["Kosovo", 7.518518518518518], ["Kuwait", 10.117647058823529], ["Kyrgyzstan", 12.72], ["Lao People's Democratic Republic", 6.0], ["Latvia", 13.235632183908047], ["Lebanon", 6.909090909090909], ["Lesotho", 8.5], ["Liberia", 3.3333333333333335], ["Libyan Arab Jamahiriya", 11.2], ["Liechtenstein", 15.0], ["Lithuania", 11.20820189274448], ["Luxembourg", 17.791666666666668], ["Madagascar", 10.052631578947368], ["Malawi", 5.904761904761905], ["Malaysia", 9.790874524714829], ["Maldives", 6.666666666666667], ["Mali", 9.833333333333334], ["Malta", 15.217391304347826], ["Marshall Islands", 4.0], ["Mauritania", 6.4], ["Mauritius", 12.892857142857142], ["Mexico", 11.156146179401993], ["Monaco", 27.0], ["Mongolia", 9.571428571428571], ["Montenegro", 15.789473684210526], ["Morocco", 6.791666666666667], ["Mozambique", 7.0], ["Myanmar", 5.390243902439025], ["Namibia", 11.25], ["Nepal", 5.355769230769231], ["Netherlands", 15.320016820857864], ["New Zealand", 18.119402985074625], ["Nicaragua", 9.333333333333334], ["Niger", 6.5], ["Nigeria", 4.72234762979684], ["Nomadic", 13.40677966101695], ["North Korea", 1.25], ["Norway", 15.315573770491802], ["Oman", 7.545454545454546], ["Pakistan", 6.356775300171527], ["Palau", 10.0], ["Palestine", 10.125], ["Panama", 11.416666666666666], ["Paraguay", 13.571428571428571], ["Peru", 9.659574468085106], ["Philippines", 9.57593123209169], ["Poland", 11.93768056128766], ["Portugal", 14.146112600536194], ["Qatar", 12.625], ["Republic of Korea", 9.785714285714286], ["Republic of Moldova", 11.7], ["Romania", 12.799031476997579], ["Russian Federation", 12.174632352941176], ["Rwanda", 6.2592592592592595], ["Saint Kitts and Nevis", 20.0], ["Saint Lucia", 6.0], ["Saint Vincent and the Grenadines", 20.0], ["Samoa", 4.0], ["San Marino", 40.0], ["Saudi Arabia", 10.009803921568627], ["Senegal", 7.3076923076923075], ["Serbia", 12.370192307692308], ["Sierra Leone", 5.75], ["Singapore", 11.125423728813558], ["Slovakia", 13.66], ["Slovenia", 15.154981549815497], ["Somalia", 6.266666666666667], ["South Africa", 15.06806282722513], ["South Korea", 10.669950738916256], ["Spain", 14.341543513957307], ["Sri Lanka", 7.3657407407407405], ["Sudan", 9.0], ["Suriname", 6.25], ["Swaziland", 9.181818181818182], ["Sweden", 16.597799511002446], ["Switzerland", 15.489082969432314], ["Syrian Arab Republic", 7.918918918918919], ["Taiwan", 11.109243697478991], ["Tajikistan", 5.6], ["Thailand", 13.230046948356808], ["The former Yugoslav Republic of Macedonia", 12.313725490196079], ["Timor-Leste", 0.0], ["Togo", 7.166666666666667], ["Trinidad and Tobago", 11.210526315789474], ["Tunisia", 7.169811320754717], ["Turkey", 10.598398169336384], ["Turkmenistan", 6.2], ["Uganda", 5.033898305084746], ["Ukraine", 11.592592592592593], ["United Arab Emirates", 11.2], ["United Kingdom of Great Britain and Northern Ireland", 16.715112075198842], ["United Republic of Tanzania", 6.527777777777778], ["United States of America", 16.223263832767632], ["Uruguay", 12.916666666666666], ["Uzbekistan", 6.634920634920635], ["Venezuela, Bolivarian Republic of...", 10.433962264150944], ["Viet Nam", 6.448818897637795], ["Yemen", 10.5], ["Zambia", 6.576923076923077], ["Zimbabwe", 5.606060606060606]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the average number of years the respondents who are professional coders have been coding by country?", "labels": [{"query": "SELECT Country, AVG(YearsCodePro) FROM Responses WHERE NOT Country IS NULL GROUP BY Country", "results": [["Afghanistan", 7.352941176470588], ["Albania", 6.414634146341464], ["Algeria", 4.114285714285714], ["Andorra", 10.272727272727273], ["Angola", 5.333333333333333], ["Antigua and Barbuda", 9.333333333333334], ["Argentina", 11.493887530562347], ["Armenia", 9.368421052631579], ["Australia", 14.328192473781616], ["Austria", 11.404026845637583], ["Azerbaijan", 6.1875], ["Bahamas", 0.0], ["Bahrain", 9.6], ["Bangladesh", 4.744897959183674], ["Barbados", 19.0], ["Belarus", 9.691358024691358], ["Belgium", 11.0103550295858], ["Belize", 17.0], ["Benin", 2.5555555555555554], ["Bhutan", 1.5], ["Bolivia", 8.071428571428571], ["Bosnia and Herzegovina", 7.173913043478261], ["Botswana", 9.0], ["Brazil", 10.542566709021601], ["Brunei Darussalam", 5.5], ["Bulgaria", 10.5], ["Burkina Faso", 11.333333333333334], ["Burundi", 4.0], ["Cambodia", 6.8], ["Cameroon", 6.363636363636363], ["Canada", 12.294311926605504], ["Cape Verde", 0.0], ["Central African Republic", null], ["Chile", 9.266666666666667], ["China", 7.878048780487805], ["Colombia", 8.0990990990991], ["Congo, Republic of the...", null], ["Costa Rica", 11.61111111111111], ["Croatia", 9.747747747747749], ["Cuba", 7.428571428571429], ["Cyprus", 11.661764705882353], ["Czech Republic", 11.071428571428571], ["C\u00f4te d'Ivoire", 5.7], ["Democratic People's Republic of Korea", 20.0], ["Democratic Republic of the Congo", 4.0], ["Denmark", 11.598853868194842], ["Djibouti", 19.5], ["Dominica", 20.0], ["Dominican Republic", 8.448979591836734], ["Ecuador", 8.380952380952381], ["Egypt", 5.859154929577465], ["El Salvador", 8.5], ["Estonia", 9.968911917098445], ["Ethiopia", 3.8863636363636362], ["Fiji", 6.25], ["Finland", 11.741818181818182], ["France", 10.243115318416523], ["Gabon", 2.0], ["Georgia", 9.155555555555555], ["Germany", 11.319140989729226], ["Ghana", 4.314285714285714], ["Greece", 10.433121019108281], ["Grenada", 18.0], ["Guatemala", 10.883720930232558], ["Guinea", 7.0], ["Guinea-Bissau", 25.0], ["Guyana", 5.0], ["Haiti", null], ["Honduras", 7.157894736842105], ["Hong Kong (S.A.R.)", 8.553191489361701], ["Hungary", 10.28344671201814], ["Iceland", 13.829787234042554], ["India", 6.121877573428493], ["Indonesia", 6.013377926421405], ["Iran, Islamic Republic of...", 7.286764705882353], ["Iraq", 6.142857142857143], ["Ireland", 13.336898395721924], ["Isle of Man", 11.083333333333334], ["Israel", 11.284353741496599], ["Italy", 12.521438450899032], ["Jamaica", 10.357142857142858], ["Japan", 10.536082474226804], ["Jordan", 6.434782608695652], ["Kazakhstan", 7.2615384615384615], ["Kenya", 5.1652892561983474], ["Kosovo", 5.25], ["Kuwait", 11.11111111111111], ["Kyrgyzstan", 9.5], ["Lao People's Democratic Republic", 4.5], ["Latvia", 10.692857142857143], ["Lebanon", 5.425], ["Lesotho", 10.0], ["Liberia", 5.0], ["Libyan Arab Jamahiriya", 12.166666666666666], ["Liechtenstein", 8.0], ["Lithuania", 8.532], ["Luxembourg", 13.285714285714286], ["Madagascar", 8.0], ["Malawi", 3.0], ["Malaysia", 7.96875], ["Maldives", 4.0], ["Mali", 5.0], ["Malta", 11.342857142857143], ["Marshall Islands", 0.0], ["Mauritania", 2.6666666666666665], ["Mauritius", 11.75], ["Mexico", 8.938636363636364], ["Monaco", 24.0], ["Mongolia", 7.611111111111111], ["Montenegro", 12.272727272727273], ["Morocco", 5.698630136986301], ["Mozambique", 5.2], ["Myanmar", 4.076923076923077], ["Namibia", 10.0], ["Nepal", 3.9473684210526314], ["Netherlands", 12.11298207495926], ["New Zealand", 14.552772808586763], ["Nicaragua", 6.545454545454546], ["Niger", 4.5], ["Nigeria", 4.530054644808743], ["Nomadic", 11.85], ["North Korea", null], ["Norway", 11.130653266331658], ["Oman", 7.625], ["Pakistan", 4.888613861386139], ["Palau", 8.333333333333334], ["Palestine", 9.470588235294118], ["Panama", 8.933333333333334], ["Paraguay", 12.09375], ["Peru", 9.3], ["Philippines", 8.356521739130434], ["Poland", 9.306306306306306], ["Portugal", 10.510708401976936], ["Qatar", 9.846153846153847], ["Republic of Korea", 6.967741935483871], ["Republic of Moldova", 9.585365853658537], ["Romania", 9.787365177195685], ["Russian Federation", 11.065340909090908], ["Rwanda", 6.769230769230769], ["Saint Kitts and Nevis", 10.0], ["Saint Lucia", 2.0], ["Saint Vincent and the Grenadines", 17.0], ["Samoa", null], ["San Marino", 36.0], ["Saudi Arabia", 8.711864406779661], ["Senegal", 4.714285714285714], ["Serbia", 8.960843373493976], ["Sierra Leone", 7.5], ["Singapore", 9.281553398058252], ["Slovakia", 10.77734375], ["Slovenia", 11.639269406392694], ["Somalia", 4.2727272727272725], ["South Africa", 12.521739130434783], ["South Korea", 8.830882352941176], ["Spain", 11.380693405846364], ["Sri Lanka", 5.12], ["Sudan", 5.0], ["Suriname", 4.5], ["Swaziland", 5.428571428571429], ["Sweden", 12.156477438136827], ["Switzerland", 12.162921348314606], ["Syrian Arab Republic", 5.666666666666667], ["Taiwan", 8.5], ["Tajikistan", 8.5], ["Thailand", 11.077922077922079], ["The former Yugoslav Republic of Macedonia", 7.9], ["Timor-Leste", 0.0], ["Togo", 2.0], ["Trinidad and Tobago", 10.0], ["Tunisia", 4.78], ["Turkey", 8.685303514376997], ["Turkmenistan", 5.8], ["Uganda", 4.0], ["Ukraine", 9.704791344667697], ["United Arab Emirates", 9.007142857142858], ["United Kingdom of Great Britain and Northern Ireland", 13.294026548672566], ["United Republic of Tanzania", 4.25], ["United States of America", 13.237903496409636], ["Uruguay", 10.207920792079207], ["Uzbekistan", 6.243243243243243], ["Venezuela, Bolivarian Republic of...", 8.930555555555555], ["Viet Nam", 4.837962962962963], ["Yemen", 9.090909090909092], ["Zambia", 5.928571428571429], ["Zimbabwe", 4.846153846153846]]}, {"query": "SELECT Country, AVG(YearsCode) AS Average_Years_Coding FROM Responses WHERE ResponderDescription = 'I am a developer by profession' GROUP BY Country", "results": [["Afghanistan", 9.736842105263158], ["Albania", 9.571428571428571], ["Algeria", 7.536585365853658], ["Andorra", 13.1], ["Angola", 11.4], ["Antigua and Barbuda", 11.5], ["Argentina", 14.758389261744966], ["Armenia", 12.95959595959596], ["Australia", 18.54461335095836], ["Austria", 15.297435897435898], ["Azerbaijan", 8.64102564102564], ["Bahamas", 0.0], ["Bahrain", 11.666666666666666], ["Bangladesh", 7.483483483483483], ["Barbados", 12.333333333333334], ["Belarus", 12.377551020408163], ["Belgium", 15.238532110091743], ["Belize", 6.5], ["Benin", 4.636363636363637], ["Bhutan", 2.6666666666666665], ["Bolivia", 8.7], ["Bosnia and Herzegovina", 11.028985507246377], ["Botswana", 7.5], ["Brazil", 13.226860254083485], ["Brunei Darussalam", 10.5], ["Bulgaria", 13.251282051282052], ["Burkina Faso", 15.75], ["Burundi", 5.0], ["Cambodia", 8.777777777777779], ["Cameroon", 8.071428571428571], ["Canada", 16.32279411764706], ["Cape Verde", 1.0], ["Chile", 12.956989247311828], ["China", 11.021951219512195], ["Colombia", 10.92717086834734], ["Congo, Republic of the...", 5.5], ["Costa Rica", 13.789473684210526], ["Croatia", 14.092436974789916], ["Cuba", 11.962962962962964], ["Cyprus", 15.09375], ["Czech Republic", 14.847522236340534], ["C\u00f4te d'Ivoire", 9.2], ["Democratic People's Republic of Korea", 25.0], ["Democratic Republic of the Congo", 5.666666666666667], ["Denmark", 16.02911208151383], ["Djibouti", 25.0], ["Dominica", 20.0], ["Dominican Republic", 10.785714285714286], ["Ecuador", 12.144927536231885], ["Egypt", 8.216666666666667], ["El Salvador", 12.73076923076923], ["Estonia", 13.43010752688172], ["Ethiopia", 6.142857142857143], ["Fiji", 8.333333333333334], ["Finland", 15.797513321492007], ["France", 14.231063829787233], ["Gabon", 6.0], ["Georgia", 12.557142857142857], ["Germany", 15.671183378500452], ["Ghana", 6.816326530612245], ["Greece", 14.535864978902953], ["Grenada", 20.0], ["Guatemala", 12.72340425531915], ["Guinea", 10.0], ["Guinea-Bissau", 42.0], ["Guyana", 11.0], ["Haiti", 8.5], ["Honduras", 11.222222222222221], ["Hong Kong (S.A.R.)", 13.105263157894736], ["Hungary", 14.451820128479657], ["Iceland", 19.0], ["India", 8.73935220606988], ["Indonesia", 8.805194805194805], ["Iran, Islamic Republic of...", 10.231263383297645], ["Iraq", 8.03125], ["Ireland", 17.088068181818183], ["Isle of Man", 15.916666666666666], ["Israel", 14.516042780748663], ["Italy", 17.060344827586206], ["Jamaica", 11.785714285714286], ["Japan", 15.07168458781362], ["Jordan", 9.770833333333334], ["Kazakhstan", 10.246575342465754], ["Kenya", 7.09433962264151], ["Kosovo", 7.958333333333333], ["Kuwait", 14.375], ["Kyrgyzstan", 13.904761904761905], ["Lao People's Democratic Republic", 7.0], ["Latvia", 13.945578231292517], ["Lebanon", 7.28], ["Lesotho", 7.333333333333333], ["Liberia", 4.0], ["Libyan Arab Jamahiriya", 12.285714285714286], ["Liechtenstein", 15.0], ["Lithuania", 11.988461538461538], ["Luxembourg", 19.491525423728813], ["Madagascar", 12.0], ["Malawi", 6.4], ["Malaysia", 11.144385026737968], ["Maldives", 8.142857142857142], ["Mali", 9.833333333333334], ["Malta", 16.575], ["Mauritania", 5.75], ["Mauritius", 12.578947368421053], ["Mexico", 12.359823399558499], ["Monaco", 10.0], ["Mongolia", 9.85], ["Montenegro", 16.88235294117647], ["Morocco", 7.857142857142857], ["Mozambique", 6.166666666666667], ["Myanmar", 7.037037037037037], ["Namibia", 11.666666666666666], ["Nepal", 6.149253731343284], ["Netherlands", 16.046236559139786], ["New Zealand", 19.359437751004016], ["Nicaragua", 9.56], ["Niger", 6.333333333333333], ["Nigeria", 6.439516129032258], ["Nomadic", 15.75609756097561], ["Norway", 16.049319727891156], ["Oman", 5.833333333333333], ["Pakistan", 7.082429501084599], ["Palau", 7.5], ["Palestine", 10.3], ["Panama", 12.333333333333334], ["Paraguay", 14.264705882352942], ["Peru", 11.442105263157895], ["Philippines", 11.621621621621621], ["Poland", 13.150953389830509], ["Portugal", 14.87813021702838], ["Qatar", 10.916666666666666], ["Republic of Korea", 10.442622950819672], ["Republic of Moldova", 12.533333333333333], ["Romania", 13.777452415812592], ["Russian Federation", 13.946891191709845], ["Rwanda", 5.277777777777778], ["Saint Kitts and Nevis", 20.0], ["Saint Vincent and the Grenadines", 20.0], ["San Marino", 40.0], ["Saudi Arabia", 12.661016949152541], ["Senegal", 7.5], ["Serbia", 13.065902578796562], ["Sierra Leone", 4.5], ["Singapore", 12.696682464454977], ["Slovakia", 14.91891891891892], ["Slovenia", 16.142857142857142], ["Somalia", 6.583333333333333], ["South Africa", 15.851685393258427], ["South Korea", 12.46376811594203], ["Spain", 15.105119453924914], ["Sri Lanka", 8.251533742331288], ["Sudan", 7.333333333333333], ["Suriname", 7.0], ["Swaziland", 9.4], ["Sweden", 17.477702191987905], ["Switzerland", 15.954292084726868], ["Syrian Arab Republic", 8.172413793103448], ["Taiwan", 11.892045454545455], ["Tajikistan", 6.5], ["Thailand", 14.624203821656051], ["The former Yugoslav Republic of Macedonia", 13.24390243902439], ["Timor-Leste", 0.0], ["Togo", 7.166666666666667], ["Trinidad and Tobago", 13.636363636363637], ["Tunisia", 7.561643835616438], ["Turkey", 11.460972017673049], ["Turkmenistan", 6.75], ["Uganda", 6.264705882352941], ["Ukraine", 12.490857946554149], ["United Arab Emirates", 12.877862595419847], ["United Kingdom of Great Britain and Northern Ireland", 17.663875319841825], ["United Republic of Tanzania", 6.92], ["United States of America", 17.31620335241774], ["Uruguay", 13.357798165137615], ["Uzbekistan", 7.46], ["Venezuela, Bolivarian Republic of...", 11.619047619047619], ["Viet Nam", 7.468879668049793], ["Yemen", 12.454545454545455], ["Zambia", 9.1875], ["Zimbabwe", 7.625]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the average number of years the respondents who are professional coders have been coding by developer type?", "labels": [{"query": "SELECT DevType, AVG(YearsCodePro) FROM Responses WHERE NOT DevType IS NULL GROUP BY DevType", "results": [["Academic researcher", 9.889737991266376], ["Blockchain", 8.838461538461539], ["Cloud infrastructure engineer", 10.806925498426024], ["Data or business analyst", 9.339009287925697], ["Data scientist or machine learning specialist", 7.652535957607872], ["Database administrator", 15.311926605504587], ["Designer", 13.515], ["DevOps specialist", 10.754428341384862], ["Developer Advocate", 15.031088082901555], ["Developer Experience", 12.234899328859061], ["Developer, QA or test", 8.429423459244532], ["Developer, back-end", 10.516123869728736], ["Developer, desktop or enterprise applications", 15.9811850603763], ["Developer, embedded applications or devices", 12.167464114832535], ["Developer, front-end", 7.650406504065041], ["Developer, full-stack", 10.558639133675303], ["Developer, game or graphics", 10.135568513119534], ["Developer, mobile", 9.386373626373626], ["Educator", 15.017182130584192], ["Engineer, data", 9.366696191319752], ["Engineer, site reliability", 10.74234693877551], ["Engineering manager", 15.11219262295082], ["Hardware Engineer", 10.59656652360515], ["Marketing or sales professional", 10.670454545454545], ["Other (please specify):", 13.425246195165622], ["Product manager", 14.5325], ["Project manager", 14.38723404255319], ["Research & Development role", 13.917081260364842], ["Scientist", 12.506944444444445], ["Security professional", 10.706349206349206], ["Senior Executive (C-Suite, VP, etc.)", 17.30095541401274], ["Student", 1.5192307692307692], ["System administrator", 11.421052631578947]]}, {"query": "SELECT DevType, AVG(YearsCode) AS AverageYearsCoding FROM Responses WHERE ResponderDescription = 'I am a developer by profession' AND NOT YearsCode IS NULL GROUP BY DevType", "results": [[null, 8.78688524590164], ["Academic researcher", 13.831439393939394], ["Blockchain", 12.649819494584838], ["Cloud infrastructure engineer", 15.504447268106734], ["Data or business analyst", 14.041009463722398], ["Data scientist or machine learning specialist", 11.706896551724139], ["Database administrator", 19.721649484536083], ["Designer", 20.9375], ["DevOps specialist", 15.430594900849858], ["Developer Advocate", 20.39855072463768], ["Developer Experience", 16.93243243243243], ["Developer, QA or test", 12.754475703324808], ["Developer, back-end", 14.8703385397205], ["Developer, desktop or enterprise applications", 20.417979359043997], ["Developer, embedded applications or devices", 17.374361883153714], ["Developer, front-end", 10.780336958839838], ["Developer, full-stack", 14.565418475394539], ["Developer, game or graphics", 15.696598639455782], ["Developer, mobile", 13.103018108651911], ["Educator", 19.354545454545455], ["Engineer, data", 13.46311858076564], ["Engineer, site reliability", 15.485623003194888], ["Engineering manager", 19.7428760768721], ["Hardware Engineer", 15.881118881118882], ["Marketing or sales professional", 14.0], ["Other (please specify):", 18.313310580204778], ["Product manager", 21.53216374269006], ["Project manager", 19.14828897338403], ["Research & Development role", 19.536190476190477], ["Scientist", 18.76923076923077], ["Security professional", 15.27461139896373], ["Senior Executive (C-Suite, VP, etc.)", 22.321001088139283], ["Student", 6.640776699029126], ["System administrator", 17.933774834437084]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents are there by developer type?", "labels": [{"query": "SELECT DevType, COUNT(DevType) FROM Responses WHERE NOT DevType IS NULL GROUP BY DevType", "results": [["Academic researcher", 1354], ["Blockchain", 323], ["Cloud infrastructure engineer", 1036], ["Data or business analyst", 837], ["Data scientist or machine learning specialist", 1588], ["Database administrator", 257], ["Designer", 281], ["DevOps specialist", 1387], ["Developer Advocate", 212], ["Developer Experience", 326], ["Developer, QA or test", 586], ["Developer, back-end", 13745], ["Developer, desktop or enterprise applications", 3904], ["Developer, embedded applications or devices", 1845], ["Developer, front-end", 5071], ["Developer, full-stack", 25735], ["Developer, game or graphics", 866], ["Developer, mobile", 2597], ["Educator", 415], ["Engineer, data", 1248], ["Engineer, site reliability", 427], ["Engineering manager", 2033], ["Hardware Engineer", 286], ["Marketing or sales professional", 149], ["Other (please specify):", 3080], ["Product manager", 446], ["Project manager", 589], ["Research & Development role", 1353], ["Scientist", 351], ["Security professional", 474], ["Senior Executive (C-Suite, VP, etc.)", 1332], ["Student", 1996], ["System administrator", 743]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many responses are there by country as a percentage of total responses?", "labels": [{"query": "SELECT Country, COUNT(Country) * 100.0 / (SELECT COUNT(Country) FROM Responses) FROM Responses WHERE NOT Country IS NULL GROUP BY Country", "results": [["Afghanistan", 0.07274959362531686], ["Albania", 0.06820274402373455], ["Algeria", 0.09662055403362395], ["Andorra", 0.018187398406329214], ["Angola", 0.014777261205142486], ["Antigua and Barbuda", 0.007956986802769031], ["Argentina", 0.6581564798290385], ["Armenia", 0.12958521364509565], ["Australia", 2.3620883680220066], ["Austria", 1.17422390960863], ["Azerbaijan", 0.06024575722096552], ["Bahamas", 0.0022734248007911517], ["Bahrain", 0.02159753560751594], ["Bangladesh", 0.5569890761938322], ["Barbados", 0.006820274402373455], ["Belarus", 0.1454991872506337], ["Belgium", 1.0094006115512715], ["Belize", 0.005683562001977879], ["Benin", 0.01932411080672479], ["Bhutan", 0.0034101372011867276], ["Bolivia", 0.047741920816614186], ["Bosnia and Herzegovina", 0.0988939788344151], ["Botswana", 0.006820274402373455], ["Brazil", 2.321166721607766], ["Brunei Darussalam", 0.0034101372011867276], ["Bulgaria", 0.5478953769906676], ["Burkina Faso", 0.0045468496015823034], ["Burundi", 0.0022734248007911517], ["Cambodia", 0.034101372011867276], ["Cameroon", 0.034101372011867276], ["Canada", 3.9864503881872846], ["Cape Verde", 0.0022734248007911517], ["Central African Republic", 0.0011367124003955759], ["Chile", 0.2819046752981028], ["China", 0.7468200470598934], ["Colombia", 0.5285712661839428], ["Congo, Republic of the...", 0.0022734248007911517], ["Costa Rica", 0.09775726643401952], ["Croatia", 0.329646596114717], ["Cuba", 0.037511509213054], ["Cyprus", 0.09548384163322837], ["Czech Republic", 1.2185556932240573], ["C\u00f4te d'Ivoire", 0.015913973605538062], ["Democratic People's Republic of Korea", 0.0022734248007911517], ["Democratic Republic of the Congo", 0.005683562001977879], ["Denmark", 0.9662055403362395], ["Djibouti", 0.0022734248007911517], ["Dominica", 0.0022734248007911517], ["Dominican Republic", 0.08070658042808589], ["Ecuador", 0.10230411603560183], ["Egypt", 0.33646687051709046], ["El Salvador", 0.03864822161344958], ["Estonia", 0.2659907016925648], ["Ethiopia", 0.09775726643401952], ["Fiji", 0.009093699203164607], ["Finland", 0.8252532026871882], ["France", 3.333977470360224], ["Gabon", 0.0022734248007911517], ["Georgia", 0.1886942584656656], ["Germany", 8.32982847009878], ["Ghana", 0.10230411603560183], ["Greece", 0.7172655246496084], ["Grenada", 0.0011367124003955759], ["Guatemala", 0.06820274402373455], ["Guinea", 0.0022734248007911517], ["Guinea-Bissau", 0.0011367124003955759], ["Guyana", 0.0034101372011867276], ["Haiti", 0.0045468496015823034], ["Honduras", 0.029554522410284972], ["Hong Kong (S.A.R.)", 0.23302604208109307], ["Hungary", 0.6899844270401145], ["Iceland", 0.06479260682254782], ["India", 6.394007252225115], ["Indonesia", 0.560399213395019], ["Iran, Islamic Republic of...", 0.6558830550282473], ["Iraq", 0.05797233242017437], ["Ireland", 0.5274345537835472], ["Isle of Man", 0.014777261205142486], ["Israel", 1.0469121207643255], ["Italy", 2.0858672547258816], ["Jamaica", 0.023870960408307093], ["Japan", 0.4114898889431985], ["Jordan", 0.08184329282848146], ["Kazakhstan", 0.1034408284359974], ["Kenya", 0.2773578256965205], ["Kosovo", 0.030691234810680548], ["Kuwait", 0.020460823207120366], ["Kyrgyzstan", 0.028417810009889397], ["Lao People's Democratic Republic", 0.0034101372011867276], ["Latvia", 0.1977879576688302], ["Lebanon", 0.075023018426108], ["Lesotho", 0.0045468496015823034], ["Liberia", 0.0034101372011867276], ["Libyan Arab Jamahiriya", 0.011367124003955759], ["Liechtenstein", 0.0011367124003955759], ["Lithuania", 0.36033783092539756], ["Luxembourg", 0.08184329282848146], ["Madagascar", 0.022734248007911517], ["Malawi", 0.023870960408307093], ["Malaysia", 0.300092073704432], ["Maldives", 0.01364054880474691], ["Mali", 0.006820274402373455], ["Malta", 0.05228877041819649], ["Marshall Islands", 0.0011367124003955759], ["Mauritania", 0.005683562001977879], ["Mauritius", 0.031827947211076124], ["Mexico", 0.6877110022393235], ["Monaco", 0.0022734248007911517], ["Mongolia", 0.023870960408307093], ["Montenegro", 0.04319507121503188], ["Morocco", 0.1648232980573585], ["Mozambique", 0.010230411603560183], ["Myanmar", 0.047741920816614186], ["Namibia", 0.0045468496015823034], ["Nepal", 0.24098302888386208], ["Netherlands", 2.7087856501426573], ["New Zealand", 0.763870733065827], ["Nicaragua", 0.034101372011867276], ["Niger", 0.0045468496015823034], ["Nigeria", 0.5081104429768224], ["Nomadic", 0.06933945642413013], ["North Korea", 0.0045468496015823034], ["Norway", 0.8320734770895616], ["Oman", 0.012503836404351334], ["Pakistan", 0.6774805906357633], ["Palau", 0.0034101372011867276], ["Palestine", 0.02728109760949382], ["Panama", 0.02728109760949382], ["Paraguay", 0.047741920816614186], ["Peru", 0.1602764484557762], ["Philippines", 0.4023961897400339], ["Poland", 2.7678946949632275], ["Portugal", 0.8513975878962864], ["Qatar", 0.018187398406329214], ["Republic of Korea", 0.09775726643401952], ["Republic of Moldova", 0.05683562001977879], ["Romania", 0.9423345799279325], ["Russian Federation", 1.24356336603276], ["Rwanda", 0.030691234810680548], ["Saint Kitts and Nevis", 0.0011367124003955759], ["Saint Lucia", 0.0022734248007911517], ["Saint Vincent and the Grenadines", 0.0022734248007911517], ["Samoa", 0.0011367124003955759], ["San Marino", 0.0011367124003955759], ["Saudi Arabia", 0.11821808964113989], ["Senegal", 0.014777261205142486], ["Serbia", 0.47400907096495515], ["Sierra Leone", 0.009093699203164607], ["Singapore", 0.33874029531788163], ["Slovakia", 0.4001227649392427], ["Slovenia", 0.3080490605072011], ["Somalia", 0.017050686005933638], ["South Africa", 0.651336205426665], ["South Korea", 0.23188932968069748], ["Spain", 2.0847305423254863], ["Sri Lanka", 0.24666659088583998], ["Sudan", 0.009093699203164607], ["Suriname", 0.0045468496015823034], ["Swaziland", 0.012503836404351334], ["Sweden", 1.8653450490491401], ["Switzerland", 1.3060825480545166], ["Syrian Arab Republic", 0.04205835881463631], ["Taiwan", 0.2716742636945426], ["Tajikistan", 0.005683562001977879], ["Thailand", 0.24552987848544439], ["The former Yugoslav Republic of Macedonia", 0.05797233242017437], ["Timor-Leste", 0.0022734248007911517], ["Togo", 0.006820274402373455], ["Trinidad and Tobago", 0.02159753560751594], ["Tunisia", 0.12162822684232662], ["Turkey", 1.0014436247485023], ["Turkmenistan", 0.011367124003955759], ["Uganda", 0.06820274402373455], ["Ukraine", 0.9923499255453377], ["United Arab Emirates", 0.2023348072704125], ["United Kingdom of Great Britain and Northern Ireland", 6.311027246996238], ["United Republic of Tanzania", 0.04092164641424073], ["United States of America", 21.196276130176305], ["Uruguay", 0.1511827492526116], ["Uzbekistan", 0.07274959362531686], ["Venezuela, Bolivarian Republic of...", 0.12049151444193104], ["Viet Nam", 0.4433178361542746], ["Yemen", 0.022734248007911517], ["Zambia", 0.029554522410284972], ["Zimbabwe", 0.03864822161344958]]}, {"query": "SELECT Country, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Responses WHERE NOT Country IS NULL GROUP BY Country", "results": [["Afghanistan", 0.07176175098672408], ["Albania", 0.06727664155005382], ["Algeria", 0.09530857552924292], ["Andorra", 0.01794043774668102], ["Angola", 0.014576605669178328], ["Antigua and Barbuda", 0.007848941514172945], ["Argentina", 0.6492195909580194], ["Armenia", 0.12782561894510225], ["Australia", 2.3300143523501973], ["Austria", 1.1582795120200933], ["Azerbaijan", 0.059427700035880875], ["Bahamas", 0.0022425547183351274], ["Bahrain", 0.02130426982418371], ["Bangladesh", 0.5494259059921062], ["Barbados", 0.006727664155005382], ["Belarus", 0.14352350197344815], ["Belgium", 0.9956942949407965], ["Belize", 0.005606386795837818], ["Benin", 0.019061715105848583], ["Bhutan", 0.003363832077502691], ["Bolivia", 0.04709364908503767], ["Bosnia and Herzegovina", 0.09755113024757804], ["Botswana", 0.006727664155005382], ["Brazil", 2.289648367420165], ["Brunei Darussalam", 0.003363832077502691], ["Bulgaria", 0.5404556871187657], ["Burkina Faso", 0.004485109436670255], ["Burundi", 0.0022425547183351274], ["Cambodia", 0.03363832077502691], ["Cameroon", 0.03363832077502691], ["Canada", 3.932319698600646], ["Cape Verde", 0.0022425547183351274], ["Central African Republic", 0.0011212773591675637], ["Chile", 0.2780767850735558], ["China", 0.7366792249730894], ["Colombia", 0.5213939720129172], ["Congo, Republic of the...", 0.0022425547183351274], ["Costa Rica", 0.09642985288841048], ["Croatia", 0.3251704341585935], ["Cuba", 0.0370021528525296], ["Cyprus", 0.09418729817007535], ["Czech Republic", 1.2020093290276284], ["C\u00f4te d'Ivoire", 0.01569788302834589], ["Democratic People's Republic of Korea", 0.0022425547183351274], ["Democratic Republic of the Congo", 0.005606386795837818], ["Denmark", 0.9530857552924291], ["Djibouti", 0.0022425547183351274], ["Dominica", 0.0022425547183351274], ["Dominican Republic", 0.07961069250089702], ["Ecuador", 0.10091496232508074], ["Egypt", 0.33189809831359884], ["El Salvador", 0.03812343021169717], ["Estonia", 0.2623789020452099], ["Ethiopia", 0.09642985288841048], ["Fiji", 0.00897021887334051], ["Finland", 0.8140473627556513], ["France", 3.2887064944384643], ["Gabon", 0.0022425547183351274], ["Georgia", 0.18613204162181557], ["Germany", 8.216720487979906], ["Ghana", 0.10091496232508074], ["Greece", 0.7075260136347327], ["Grenada", 0.0011212773591675637], ["Guatemala", 0.06727664155005382], ["Guinea", 0.0022425547183351274], ["Guinea-Bissau", 0.0011212773591675637], ["Guyana", 0.003363832077502691], ["Haiti", 0.004485109436670255], ["Honduras", 0.029153211338356657], ["Hong Kong (S.A.R.)", 0.22986185862935055], ["Hungary", 0.6806153570147112], ["Iceland", 0.06391280947255112], ["India", 6.307185145317546], ["Indonesia", 0.5527897380696088], ["Iran, Islamic Republic of...", 0.6469770362396843], ["Iraq", 0.057185145317545746], ["Ireland", 0.5202726946537496], ["Isle of Man", 0.014576605669178328], ["Israel", 1.0326964477933263], ["Italy", 2.0575439540724796], ["Jamaica", 0.023546824542518836], ["Japan", 0.40590240401865807], ["Jordan", 0.08073196986006459], ["Kazakhstan", 0.1020362396842483], ["Kenya", 0.2735916756368855], ["Kosovo", 0.03027448869752422], ["Kuwait", 0.020182992465016147], ["Kyrgyzstan", 0.028031933979189093], ["Lao People's Democratic Republic", 0.003363832077502691], ["Latvia", 0.19510226049515608], ["Lebanon", 0.0740043057050592], ["Lesotho", 0.004485109436670255], ["Liberia", 0.003363832077502691], ["Libyan Arab Jamahiriya", 0.011212773591675636], ["Liechtenstein", 0.0011212773591675637], ["Lithuania", 0.3554449228561177], ["Luxembourg", 0.08073196986006459], ["Madagascar", 0.022425547183351272], ["Malawi", 0.023546824542518836], ["Malaysia", 0.2960172228202368], ["Maldives", 0.013455328310010764], ["Mali", 0.006727664155005382], ["Malta", 0.05157875852170793], ["Marshall Islands", 0.0011212773591675637], ["Mauritania", 0.005606386795837818], ["Mauritius", 0.03139576605669178], ["Mexico", 0.678372802296376], ["Monaco", 0.0022425547183351274], ["Mongolia", 0.023546824542518836], ["Montenegro", 0.04260853964836742], ["Morocco", 0.16258521707929674], ["Mozambique", 0.010091496232508074], ["Myanmar", 0.04709364908503767], ["Namibia", 0.004485109436670255], ["Nepal", 0.2377108001435235], ["Netherlands", 2.672003946896304], ["New Zealand", 0.7534983853606028], ["Nicaragua", 0.03363832077502691], ["Niger", 0.004485109436670255], ["Nigeria", 0.501210979547901], ["Nomadic", 0.06839791890922138], ["North Korea", 0.004485109436670255], ["Norway", 0.8207750269106566], ["Oman", 0.0123340509508432], ["Pakistan", 0.6682813060638679], ["Palau", 0.003363832077502691], ["Palestine", 0.02691065662002153], ["Panama", 0.02691065662002153], ["Paraguay", 0.04709364908503767], ["Peru", 0.15810010764262647], ["Philippines", 0.39693218514531753], ["Poland", 2.7303103695730178], ["Portugal", 0.8398367420165052], ["Qatar", 0.01794043774668102], ["Republic of Korea", 0.09642985288841048], ["Republic of Moldova", 0.056063867958378186], ["Romania", 0.9295389307499103], ["Russian Federation", 1.2266774309293147], ["Rwanda", 0.03027448869752422], ["Saint Kitts and Nevis", 0.0011212773591675637], ["Saint Lucia", 0.0022425547183351274], ["Saint Vincent and the Grenadines", 0.0022425547183351274], ["Samoa", 0.0011212773591675637], ["San Marino", 0.0011212773591675637], ["Saudi Arabia", 0.11661284535342663], ["Senegal", 0.014576605669178328], ["Serbia", 0.4675726587728741], ["Sierra Leone", 0.00897021887334051], ["Singapore", 0.33414065303193397], ["Slovakia", 0.3946896304269824], ["Slovenia", 0.30386616433440977], ["Somalia", 0.016819160387513455], ["South Africa", 0.642491926803014], ["South Korea", 0.22874058127018299], ["Spain", 2.056422676713312], ["Sri Lanka", 0.24331718693936133], ["Sudan", 0.00897021887334051], ["Suriname", 0.004485109436670255], ["Swaziland", 0.0123340509508432], ["Sweden", 1.840016146393972], ["Switzerland", 1.2883476856835308], ["Syrian Arab Republic", 0.041487262289199855], ["Taiwan", 0.2679852888410477], ["Tajikistan", 0.005606386795837818], ["Thailand", 0.24219590958019377], ["The former Yugoslav Republic of Macedonia", 0.057185145317545746], ["Timor-Leste", 0.0022425547183351274], ["Togo", 0.006727664155005382], ["Trinidad and Tobago", 0.02130426982418371], ["Tunisia", 0.11997667743092931], ["Turkey", 0.9878453534266236], ["Turkmenistan", 0.011212773591675636], ["Uganda", 0.06727664155005382], ["Ukraine", 0.9788751345532831], ["United Arab Emirates", 0.19958736993182633], ["United Kingdom of Great Britain and Northern Ireland", 6.225331898098314], ["United Republic of Tanzania", 0.040365984930032295], ["United States of America", 20.90845891639756], ["Uruguay", 0.14912988876928598], ["Uzbekistan", 0.07176175098672408], ["Venezuela, Bolivarian Republic of...", 0.11885540007176175], ["Viet Nam", 0.4372981700753498], ["Yemen", 0.022425547183351272], ["Zambia", 0.029153211338356657], ["Zimbabwe", 0.03812343021169717]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How often do the age groups occur?", "labels": [{"query": "SELECT Age, COUNT(Age) FROM Responses GROUP BY Age", "results": [["18-24 years old", 17931], ["25-34 years old", 33247], ["35-44 years old", 20532], ["45-54 years old", 8334], ["55-64 years old", 3392], ["65 years or older", 1171], ["Prefer not to say", 449], ["Under 18 years old", 4128]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the percentages of professional developers using the various programing languages?", "labels": [{"query": "SELECT Languages.name, COUNT(Languages.id) * 100.0 / (SELECT COUNT(DISTINCT Responses.id) FROM Response_LanguageHaveWorkedWith JOIN Responses ON Responses.id = Response_LanguageHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am a developer by profession') FROM Languages JOIN Response_LanguageHaveWorkedWith ON Languages.id = Response_LanguageHaveWorkedWith.Languages_id JOIN Responses ON Responses.id = Response_LanguageHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY Languages.name", "results": [["APL", 0.15836732254642702], ["Ada", 0.6528916976678171], ["Apex", 0.6439275095991513], ["Assembly", 4.428308905920846], ["Bash/Shell (all shells)", 32.80295220593728], ["C", 16.685342058476387], ["C#", 29.215782947126232], ["C++", 20.24412472173666], ["Clojure", 1.3849670566088477], ["Cobol", 0.5707199737050483], ["Crystal", 0.4243049019168422], ["Dart", 6.140468827035991], ["Delphi", 3.234577861443533], ["Elixir", 2.6384593548772655], ["Erlang", 1.0906428816876579], ["F#", 1.0353637219308862], ["Flow", 0.24950323457786144], ["Fortran", 0.6887484499424797], ["GDScript", 1.3162416147490774], ["Go", 14.347183003899422], ["Groovy", 3.8814934337322398], ["HTML/CSS", 52.92755442009173], ["Haskell", 1.804789864491357], ["Java", 30.543976812633527], ["JavaScript", 65.94056743310475], ["Julia", 0.7813783933186919], ["Kotlin", 9.712697772399265], ["Lisp", 1.3356640222311864], ["Lua", 5.206699236549983], ["MATLAB", 2.983580595520894], ["Nim", 0.31822867643763164], ["OCaml", 0.6319752588409305], ["Objective-C", 2.6070846966369357], ["PHP", 19.063839959362348], ["Perl", 2.339653085921743], ["PowerShell", 13.6345300524405], ["Prolog", 0.7634500171813605], ["Python", 45.400624505102115], ["R", 3.171828544962873], ["Raku", 0.13894491506431805], ["Ruby", 6.95471590993979], ["Rust", 12.23163461969432], ["SAS", 0.4004004004004004], ["SQL", 51.6083247426531], ["Scala", 3.215155453961424], ["Solidity", 1.4028954327461791], ["Swift", 4.972136315419897], ["TypeScript", 43.825915467706515], ["VBA", 2.9029029029029028], ["Visual Basic (.Net)", 3.926314374075568], ["Zig", 0.7051827947350335]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How often are the various databases used?", "labels": [{"query": "SELECT Databases.name, COUNT(Databases.id) FROM Databases JOIN Response_DatabaseHaveWorkedWith ON Databases.id = Response_DatabaseHaveWorkedWith.Databases_id GROUP BY Databases.name", "results": [["BigQuery", 3456], ["Cassandra", 1927], ["Clickhouse", 849], ["Cloud Firestore", 4901], ["Cockroachdb", 795], ["Cosmos DB", 2672], ["Couch DB", 887], ["Couchbase", 598], ["Datomic", 244], ["DuckDB", 469], ["Dynamodb", 6798], ["Elasticsearch", 10263], ["Firebase Realtime Database", 4939], ["Firebird", 1152], ["H2", 2808], ["IBM DB2", 1414], ["InfluxDB", 2091], ["MariaDB", 13495], ["Microsoft Access", 3257], ["Microsoft SQL Server", 19506], ["MongoDB", 19556], ["MySQL", 31489], ["Neo4J", 1432], ["Oracle", 7507], ["PostgreSQL", 34909], ["RavenDB", 227], ["Redis", 15639], ["SQLite", 23678], ["Snowflake", 1820], ["Solr", 1189], ["Supabase", 2122], ["TiDB", 157]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents learning to code are using each of the cloud platforms?", "labels": [{"query": "SELECT Platforms.name, COUNT(Platforms.id) FROM Platforms JOIN Response_PlatformHaveWorkedWith ON Platforms.id = Response_PlatformHaveWorkedWith.Platforms_id JOIN Responses ON Responses.id = Response_PlatformHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am learning to code' GROUP BY Platforms.name", "results": [["Amazon Web Services (AWS)", 654], ["Cloudflare", 420], ["Colocation", 20], ["Digital Ocean", 247], ["Firebase", 628], ["Fly.io", 72], ["Google Cloud", 652], ["Heroku", 492], ["Hetzner", 67], ["IBM Cloud Or Watson", 53], ["Linode, now Akamai", 125], ["Managed Hosting", 63], ["Microsoft Azure", 370], ["Netlify", 498], ["OVH", 76], ["OpenShift", 22], ["OpenStack", 53], ["Oracle Cloud Infrastructure (OCI)", 123], ["Render", 132], ["Scaleway", 17], ["VMware", 262], ["Vercel", 487], ["Vultr", 55]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the usage percentages of the web frameworks?", "labels": [{"query": "SELECT WebFrameworks.name, COUNT(WebFrameworks.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_WebframeHaveWorkedWith) FROM WebFrameworks JOIN Response_WebframeHaveWorkedWith ON WebFrameworks.id = Response_WebframeHaveWorkedWith.WebFrameworks_id GROUP BY WebFrameworks.id", "results": [["Next.js", 17.88520720666886], ["React", 43.52833965759359], ["Remix", 1.3624548089276645], ["Vue.js", 17.565508380889778], ["Deno", 2.535181810033165], ["Elm", 0.8664734530461023], ["Nuxt.js", 3.9618751680659714], ["Svelte", 7.100600555738145], ["Node.js", 45.75278616032747], ["Ruby on Rails", 5.886043801726971], ["WordPress", 14.34760524664615], ["Express", 20.680331052615852], ["Gatsby", 2.5023155756072786], ["NestJS", 5.499118587349487], ["Angular", 18.729271863515493], ["AngularJS", 7.732528608563148], ["jQuery", 23.580029280827034], ["Phoenix", 2.193074188054618], ["Solid.js", 1.4625474319519556], ["FastAPI", 7.955122650811198], ["Fastify", 2.202037706534405], ["Flask", 13.047895067076997], ["ASP.NET CORE", 17.771669305924885], ["Qwik", 0.5811347814395411], ["Spring Boot", 12.822313185335684], ["Laravel", 8.126923421673787], ["Symfony", 3.4375093369984167], ["Django", 12.306910872747917], ["ASP.NET", 13.721652872807672], ["Blazor", 5.23021303295587], ["CodeIgniter", 1.849472646329439], ["Drupal", 2.006334219725716], ["Play Framework", 0.81418626191401], ["Lit", 0.7320206758492934]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents have worked with miscellaneous technology?", "labels": [{"query": "SELECT MiscTech.name, COUNT(MiscTech.id) FROM MiscTech JOIN Response_MiscTechHaveWorkedWith ON MiscTech.id = Response_MiscTechHaveWorkedWith.MiscTech_id GROUP BY MiscTech.name", "results": [[".NET (5+) ", 17005], [".NET Framework (1.0 - 4.8)", 11452], [".NET MAUI", 1573], ["Apache Kafka", 5984], ["Apache Spark", 2748], ["CUDA", 3042], ["Capacitor", 1127], ["Cordova", 1616], ["Electron", 4685], ["Flutter", 6132], ["GTK", 1690], ["Hadoop", 1539], ["Hugging Face Transformers", 1852], ["Ionic", 1948], ["JAX", 641], ["Keras", 2839], ["Ktor", 740], ["MFC", 671], ["Micronaut", 441], ["NumPy", 13614], ["OpenGL", 4664], ["Opencv", 5455], ["Pandas", 12756], ["Qt", 4401], ["Quarkus", 763], ["RabbitMQ", 6942], ["React Native", 5667], ["Scikit-Learn", 6339], ["Spring Framework", 7460], ["SwiftUI", 2643], ["Tauri", 1516], ["TensorFlow", 6405], ["Tidyverse", 1045], ["Torch/PyTorch", 5884], ["Uno Platform", 357], ["Xamarin", 2233]]}, {"query": "SELECT COUNT(DISTINCT Response_id) AS Respondents_Worked_With_MiscTech FROM Response_MiscTechHaveWorkedWith", "results": [[57019]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How much are the tools used in % by developers learning to code?", "labels": [{"query": "SELECT TechTools.name, COUNT(TechTools.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_ToolsTechHaveWorkedWith) FROM TechTools JOIN Response_ToolsTechHaveWorkedWith ON TechTools.id = Response_ToolsTechHaveWorkedWith.TechTools_id JOIN Responses ON Responses.id = Response_ToolsTechHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am learning to code' GROUP BY TechTools.name", "results": [["APT", 0.3826203071234143], ["Ansible", 0.12454419392943351], ["Ant", 0.0757536849673874], ["Boost.Test", 0.030815058291818603], ["Bun", 0.05007446972420523], ["CMake", 0.7678085357711468], ["CUTE", 0.014123568383750193], ["Cargo", 0.6971906938523958], ["Catch2", 0.03723486210261415], ["Chef", 0.02439525448102306], ["Chocolatey", 0.39160803245852804], ["Composer", 0.20286580042113914], ["Dagger", 0.03209901905397771], ["Docker", 1.19536746957013], ["ELFspy", 0.012839607621591084], ["GNU GCC", 0.9937856299111499], ["Godot", 0.23239689795079863], ["Google Test", 0.09244517487545581], ["Gradle", 0.5662266961121668], ["Homebrew", 0.4724975604745519], ["Kubernetes", 0.19259411432386625], ["LLVM's Clang", 0.3813363463612552], ["MSBuild", 0.14765548764829747], ["MSVC", 0.20158183965898002], ["Make", 0.6817831647064866], ["Maven (build tool)", 0.5610908530635303], ["Meson", 0.0757536849673874], ["Ninja", 0.1669148990806841], ["Nix", 0.09758101792409224], ["NuGet", 0.3543731703559139], ["Pacman", 0.5187201479122798], ["Pip", 1.7038159313851369], ["Podman", 0.08088952801602384], ["Pulumi", 0.011555646859431976], ["Puppet", 0.023111293718863953], ["QMake", 0.059062195059318985], ["SCons", 0.017975450670227516], ["Terraform", 0.07832160649170561], ["Unity 3D", 0.6561039494633044], ["Unreal Engine", 0.2760515638642083], ["Visual Studio Solution", 0.6984746546145549], ["Vite", 0.9167479841816034], ["Wasmer", 0.023111293718863953], ["Webpack", 0.5649427353500077], ["Yarn", 0.5983257151661445], ["bandit", 0.020543372194545734], ["build2", 0.011555646859431976], ["cppunit", 0.020543372194545734], ["doctest", 0.03338297981613682], ["lest", 0.011555646859431976], ["liblittletest", 0.008987725335113758], ["npm", 2.309845411124236], ["pnpm", 0.32740999435057266], ["snitch", 0.010271686097272867], ["tunit", 0.012839607621591084]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How much are the various IDEs used?", "labels": [{"query": "SELECT NewCollabTools.name, COUNT(NewCollabTools.id) FROM NewCollabTools JOIN Response_NEWCollabToolsHaveWorkedWith ON NewCollabTools.id = Response_NEWCollabToolsHaveWorkedWith.NewCollabTools_id GROUP BY NewCollabTools.name", "results": [["Android Studio", 14553], ["Atom", 4874], ["BBEdit", 722], ["CLion", 4240], ["Code::Blocks", 2077], ["DataGrip", 4396], ["Eclipse", 8565], ["Emacs", 4058], ["Fleet", 1642], ["Geany", 841], ["Goland", 2795], ["Helix", 1391], ["IPython", 4226], ["IntelliJ IDEA", 23209], ["Jupyter Notebook/JupyterLab", 11024], ["Kate", 1367], ["Micro", 551], ["Nano", 7769], ["Neovim", 10282], ["Netbeans", 2760], ["Notepad++", 21240], ["Nova", 250], ["PhpStorm", 5274], ["PyCharm", 12658], ["Qt Creator", 2031], ["RStudio", 2343], ["Rad Studio (Delphi, C++ Builder)", 1961], ["Rider", 4819], ["RubyMine", 1115], ["Spyder", 1273], ["Sublime Text", 10914], ["TextMate", 592], ["VSCodium", 3627], ["Vim", 19294], ["Visual Studio", 24605], ["Visual Studio Code", 63793], ["WebStorm", 6388], ["Xcode", 8180], ["condo", 152]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Which async tools are used by what percentage of professional coders?", "labels": [{"query": "SELECT OfficeStackAsync.name, COUNT(OfficeStackAsync.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_OfficeStackAsyncHaveWorkedWith) FROM OfficeStackAsync JOIN Response_OfficeStackAsyncHaveWorkedWith ON OfficeStackAsync.id = Response_OfficeStackAsyncHaveWorkedWith.OfficeStackAsync_id JOIN Responses ON Responses.id = Response_OfficeStackAsyncHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY OfficeStackAsync.name", "results": [["Adobe Workfront", 0.2793457808655377], ["Airtable", 1.7846287451150673], ["Asana", 4.491243305832971], ["Azure Devops", 14.612823852945434], ["Basecamp", 1.4184397163120568], ["Cerri", 0.040526849037487336], ["Clickup", 3.556231003039514], ["Confluence", 32.18266029816182], ["Dingtalk (Teambition)", 0.0911854103343465], ["Document360", 0.16066000868432478], ["Doxygen", 3.0076711535678102], ["GitHub Discussions", 13.187147199305254], ["Jira", 49.49341438703141], ["Leankor", 0.036184686640613695], ["Linear", 1.9669995657837602], ["Markdown File", 21.346070343030828], ["Microsoft Lists", 0.6600086843247938], ["Microsoft Planner", 1.6254161238963671], ["Miro", 13.462150817773917], ["Monday.com", 2.2680561586336663], ["Notion", 15.209147488782747], ["Nuclino", 0.19684469532493848], ["Planview Projectplace Or Clarizen", 0.0694745983499783], ["Redmine", 2.4026631929367492], ["Redocly", 0.2619771312780431], ["Shortcut", 0.8814589665653495], ["Smartsheet", 0.7685627442466348], ["Stack Overflow for Teams", 2.1131856998118397], ["Swit", 0.09842234766246924], ["Tettra", 0.0940801852655956], ["Trello", 16.27008250108554], ["Wikis", 6.148501953973079], ["Wimi", 0.041974236503111884], ["Workzone", 0.07381676074685194], ["Wrike", 0.4313214647561152], ["YouTrack", 2.0827905630337242]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of respondents who code professionally use which sync tools?", "labels": [{"query": "SELECT OfficeStackSync.name, COUNT(OfficeStackSync.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_OfficeStackSyncHaveWorkedWith) FROM OfficeStackSync JOIN Response_OfficeStackSyncHaveWorkedWith ON OfficeStackSync.id = Response_OfficeStackSyncHaveWorkedWith.OfficeStackSync_id JOIN Responses ON Responses.id = Response_OfficeStackSyncHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY OfficeStackSync.name", "results": [["Cisco Webex Teams", 5.433909802370594], ["Coolfire Core", 0.03835137046225386], ["Discord", 27.73163628519038], ["Google Chat", 8.709356535912463], ["Google Meet", 30.005153465405865], ["IRC", 2.030225673845564], ["Jitsi", 2.8308105322451134], ["Matrix", 2.1704478720981797], ["Mattermost", 3.2299044811179423], ["Microsoft Teams", 42.59758626062153], ["Ringcentral", 0.41227723246922904], ["Rocketchat", 1.3962295808914296], ["Signal", 8.886731624300387], ["Skype", 10.950514747300423], ["Slack", 41.98875825453325], ["Symphony", 0.3175972866405398], ["Telegram", 13.967089730222078], ["Unify Circuit", 0.05393161471254449], ["Whatsapp", 22.06042737808459], ["Wickr", 0.16898572609930607], ["Wire", 0.2097340572154508], ["Zoom", 35.80579824782176], ["Zulip", 1.0175097975766727]]}, {"query": "SELECT OfficeStackSync.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE ResponderDescription = 'I am a developer by profession') AS Percentage FROM Response_OfficeStackSyncHaveWorkedWith JOIN Responses ON Responses.id = Response_OfficeStackSyncHaveWorkedWith.Response_id JOIN OfficeStackSync ON OfficeStackSync.id = Response_OfficeStackSyncHaveWorkedWith.OfficeStackSync_id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY OfficeStackSync.Name", "results": [["Cisco Webex Teams", 6.743310974612193], ["Coolfire Core", 0.04759284322619986], ["Discord", 34.414087481594954], ["Google Chat", 10.808037241399825], ["Google Meet", 37.23545071909812], ["IRC", 2.519446138286955], ["Jitsi", 3.5129467406338772], ["Matrix", 2.6934574713327484], ["Mattermost", 4.008209765456519], ["Microsoft Teams", 52.86226333715068], ["Ringcentral", 0.5116230646816485], ["Rocketchat", 1.7326769487038387], ["Signal", 11.028154141320998], ["Skype", 13.589244017430879], ["Slack", 52.10672695093475], ["Symphony", 0.3941282329669676], ["Telegram", 17.332718592441662], ["Unify Circuit", 0.06692743578684356], ["Whatsapp", 27.37629578952065], ["Wickr", 0.20970596546544312], ["Wire", 0.2602733613932805], ["Zoom", 44.433868257060844], ["Zulip", 1.2626976218451151]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How much is each OS used professionally and non-professionally?", "labels": [{"query": "SELECT OperatingSystems.name, COUNT(OperatingSystems.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM \"Response_OpSysPersonalUse\"), count2 FROM OperatingSystems JOIN \"Response_OpSysPersonalUse\" ON OperatingSystems.id = \"Response_OpSysPersonalUse\".\"OperatingSystems_id\" JOIN (SELECT \"OperatingSystems\".name AS name2, COUNT(\"OperatingSystems\".id) * 100.0 / ((SELECT COUNT(DISTINCT Response_id) FROM \"Response_OpSysProfessionalUse\")) AS count2 FROM \"OperatingSystems\" JOIN \"Response_OpSysProfessionalUse\" ON \"OperatingSystems\".id = \"Response_OpSysProfessionalUse\".\"OperatingSystems_id\" GROUP BY \"OperatingSystems\".id) ON OperatingSystems.name = name2 GROUP BY OperatingSystems.id", "results": [["iOS", 11.826888639855818, 8.180742361968264], ["iPadOS", 5.725706759707476, 3.0768447707636124], ["MacOS", 32.81883614265744, 36.62946797816433], ["Windows", 60.17537576394746, 52.065863310725696], ["Windows Subsystem for Linux (WSL)", 16.994581605185022, 17.3998243984374], ["Other Linux-based", 8.220016867497717, 8.54085281280619], ["Other (Please Specify):", 2.38224522568943, 2.163207655210149], ["Ubuntu", 27.485934124334253, 29.624492600557343], ["Fedora", 4.404034335755629, 3.3873286930408337], ["Red Hat", 2.153494229236226, 5.144616794126255], ["Arch", 8.12066037408875, 4.846857622762035], ["Debian", 8.453389096202502, 8.98240166948732], ["Android", 17.72589160899754, 9.13000878007813], ["ChromeOS", 1.8900839908961724, 1.1795844096351813], ["Cygwin", 1.0490197211086336, 1.0243424484965706], ["BSD", 0.9693034647688806, 0.6578696222021454], ["Solaris", 0.32348625761059185, 0.40464707903342795], ["AIX", 0.2899823237866377, 0.4517286574115312], ["Haiku", 0.20333421906951488, 0.0941631567562065]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents that are learning programming use AI search tools by specific tool?", "labels": [{"query": "SELECT AISearch.name, COUNT(AISearch.id) FROM AISearch JOIN Response_AISearchHaveWorkedWith ON AISearch.id = Response_AISearchHaveWorkedWith.AISearch_id JOIN Responses ON Responses.id = Response_AISearchHaveWorkedWith.Response_id WHERE Responses.ResponderDescription = 'I am learning to code' GROUP BY AISearch.name", "results": [["Andi", 41], ["Bing AI", 1210], ["ChatGPT", 3585], ["Google Bard AI", 555], ["Metaphor", 28], ["Neeva AI", 40], ["Perplexity AI", 89], ["Phind", 202], ["Quora Poe", 106], ["WolframAlpha", 615], ["You.com", 192]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of respondents use AI developer tools by specific tool?", "labels": [{"query": "SELECT AIDev.name, COUNT(AIDev.id) * 100.0 / (SELECT COUNT(*) FROM Responses) FROM AIDev JOIN Response_AIDevHaveWorkedWith ON AIDev.id = Response_AIDevHaveWorkedWith.AIDev_id GROUP BY AIDev.name", "results": [["AWS CodeWhisperer", 2.3221654108360243], ["Adrenaline", 0.19510226049515608], ["Codeium", 0.5651237890204521], ["GitHub Copilot", 24.75556153570147], ["Mintlify", 0.23658952278435594], ["Replit Ghostwriter", 0.3756279153211338], ["Rubber Duck.AI", 0.1693128812343021], ["Synk Code", 0.6032472192321493], ["Tabnine", 5.822793326157158], ["Whispr AI", 0.5101811984212414]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of respondents want to keep using their current programming language by programming language? ", "labels": [{"query": "SELECT Languages.name, COUNT(Languages.id) * 100.0 / count2 FROM Languages JOIN Response_LanguageHaveWorkedWith ON Response_LanguageHaveWorkedWith.Languages_id = Languages.id JOIN Response_LanguageWantToWorkWith ON Response_LanguageWantToWorkWith.Response_id = Response_LanguageHaveWorkedWith.Response_id AND Response_LanguageWantToWorkWith.Languages_id = Languages.id JOIN (SELECT Languages.name AS name2, COUNT(Languages.id) AS count2 FROM Languages JOIN Response_LanguageHaveWorkedWith ON Response_LanguageHaveWorkedWith.Languages_id = Languages.id GROUP BY Languages.id) ON Languages.name = name2 GROUP BY Languages.id", "results": [["HTML/CSS", 61.904043452021725], ["JavaScript", 57.82700005384933], ["Python", 65.522035312109], ["Bash/Shell (all shells)", 60.3858770413742], ["C#", 62.86529161327657], ["Dart", 58.5624881471648], ["Elixir", 73.12623274161736], ["GDScript", 62.94314381270903], ["Rust", 84.65914063183688], ["Go", 62.44824016563147], ["Haskell", 52.21432476763258], ["OCaml", 53.90879478827362], ["PHP", 41.833599606734666], ["Ruby", 47.68976897689769], ["SQL", 64.25873354761514], ["TypeScript", 71.70470902734937], ["Ada", 40.915805022156576], ["Clojure", 68.50678733031674], ["Java", 44.111821205665805], ["Lisp", 54.54545454545455], ["Raku", 65.38461538461539], ["Scala", 52.270850536746494], ["Swift", 61.419449901768175], ["Zig", 71.33058984910836], ["Julia", 62.772277227722775], ["R", 38.97893030794165], ["PowerShell", 43.320450344479916], ["C++", 49.77080574513599], ["Kotlin", 60.768746061751735], ["Solidity", 46.4041095890411], ["C", 43.293978748524204], ["Assembly", 39.44876919840101], ["Perl", 34.681543468154345], ["Delphi", 62.76933945602261], ["Lua", 47.976011994002995], ["MATLAB", 18.328840970350406], ["Groovy", 29.973118279569892], ["APL", 44.888888888888886], ["VBA", 23.817186997103317], ["Visual Basic (.Net)", 23.26233183856502], ["F#", 57.361601884570085], ["Nim", 53.77643504531722], ["Objective-C", 22.58543833580981], ["Crystal", 48.0719794344473], ["Prolog", 23.969072164948454], ["Cobol", 20.3125], ["Fortran", 24.369747899159663], ["Erlang", 55.184331797235025], ["Apex", 48.01381692573403], ["SAS", 37.47072599531616], ["Flow", 24.766355140186917]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of respondents want to use which programming languages?", "labels": [{"query": "SELECT Languages.name, COUNT(Languages.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_LanguageWantToWorkWith) FROM Languages JOIN Response_LanguageWantToWorkWith ON Response_LanguageWantToWorkWith.Languages_id = Languages.id GROUP BY Languages.id", "results": [["HTML/CSS", 37.08136639036539], ["JavaScript", 43.34832546556146], ["Python", 43.01255126441909], ["Bash/Shell (all shells)", 22.64803181801286], ["C#", 23.03708384442875], ["Dart", 7.503500229218551], ["Elixir", 4.807394466540287], ["GDScript", 1.9390650361174095], ["Rust", 33.094202629198726], ["Go", 22.293672328984375], ["Haskell", 4.163104486488495], ["OCaml", 1.3418577853770954], ["PHP", 9.929499807952025], ["Ruby", 5.3191093930044975], ["SQL", 36.672490056870984], ["TypeScript", 39.96580307028956], ["Ada", 0.8177526669888117], ["Clojure", 2.3665266574979245], ["Java", 17.822052063586465], ["Lisp", 2.11252772305443], ["Raku", 0.345686354681634], ["Scala", 3.4320831629681945], ["Swift", 6.674596389498073], ["Zig", 4.518702994709388], ["Julia", 2.7060179162175224], ["R", 3.801310882305567], ["PowerShell", 7.610055879765578], ["C++", 17.63248212714815], ["Kotlin", 13.081564633436171], ["Solidity", 1.9787136502744427], ["C", 12.426123480652715], ["Assembly", 4.745443506919922], ["Perl", 1.335662689415059], ["Delphi", 2.4136093868094015], ["Lua", 5.057676343406559], ["MATLAB", 1.4112428601519038], ["Groovy", 1.5128424339293016], ["APL", 0.5042808113097672], ["VBA", 1.177068232786926], ["Visual Basic (.Net)", 1.672675909749842], ["F#", 2.603179323247717], ["Nim", 1.0048445650423126], ["Objective-C", 1.182024309556555], ["Crystal", 0.7421724962519669], ["Prolog", 0.691372709363268], ["Cobol", 0.4894125810008797], ["Fortran", 0.6294217497429035], ["Erlang", 1.7544511764487232], ["Apex", 0.5959682315479067], ["SAS", 0.4398518133045881], ["Flow", 0.22426247382571957]]}, {"query": "SELECT Languages.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_LanguageWantToWorkWith JOIN Languages ON Response_LanguageWantToWorkWith.Languages_id = Languages.id GROUP BY Languages.Name", "results": [["APL", 0.4563598851811984], ["Ada", 0.740043057050592], ["Apex", 0.5393344097595981], ["Assembly", 4.294492285611769], ["Bash/Shell (all shells)", 20.495828848223898], ["C", 11.245290635091497], ["C#", 20.847909939002513], ["C++", 15.9568980983136], ["Clojure", 2.1416397560100466], ["Cobol", 0.4429045568711877], ["Crystal", 0.6716451381413706], ["Dart", 6.790455687118766], ["Delphi", 2.184248295658414], ["Elixir", 4.350556153570147], ["Erlang", 1.5877287405812701], ["F#", 2.355803731611051], ["Flow", 0.20295120200932903], ["Fortran", 0.5696088984571224], ["GDScript", 1.754799067097237], ["Go", 20.175143523501973], ["Groovy", 1.3690796555435953], ["HTML/CSS", 33.557588805166844], ["Haskell", 3.767491926803014], ["Java", 16.128453534266235], ["JavaScript", 39.22900968783638], ["Julia", 2.448869752421959], ["Kotlin", 11.838446358091137], ["Lisp", 1.911777897380696], ["Lua", 4.577054180121995], ["MATLAB", 1.2771349120918551], ["Nim", 0.9093559382848941], ["OCaml", 1.2143433799784715], ["Objective-C", 1.0696986006458558], ["PHP", 8.985916756368855], ["Perl", 1.2087369931826337], ["PowerShell", 6.886885540007176], ["Prolog", 0.6256727664155005], ["Python", 38.92514352350197], ["R", 3.4400789379260854], ["Raku", 0.31283638320775026], ["Ruby", 4.813643702906351], ["Rust", 29.949318263365626], ["SAS", 0.3980534625044851], ["SQL", 33.18756727664155], ["Scala", 3.1059382848941515], ["Solidity", 1.7906799425905993], ["Swift", 6.040321133835666], ["TypeScript", 36.167922497308936], ["VBA", 1.0652134912091855], ["Visual Basic (.Net)", 1.513724434876211], ["Zig", 4.089298528884105]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of users want to keep using their current DB by DB? ", "labels": [{"query": "SELECT Databases.name, COUNT(Databases.id) * 100.0 / count2 FROM Databases JOIN Response_DatabaseHaveWorkedWith ON Response_DatabaseHaveWorkedWith.Databases_id = Databases.id JOIN Response_DatabaseWantToWorkWith ON Response_DatabaseWantToWorkWith.Response_id = Response_DatabaseHaveWorkedWith.Response_id AND Response_DatabaseWantToWorkWith.Databases_id = Databases.id JOIN (SELECT Databases.name AS name2, COUNT(Databases.id) AS count2 FROM Databases JOIN Response_DatabaseHaveWorkedWith ON Response_DatabaseHaveWorkedWith.Databases_id = Databases.id GROUP BY Databases.id) ON Databases.name = name2 GROUP BY Databases.id", "results": [["Supabase", 62.158341187558904], ["Firebase Realtime Database", 45.71775663089694], ["PostgreSQL", 71.31685238763643], ["Redis", 69.9213504699789], ["BigQuery", 50.491898148148145], ["Elasticsearch", 49.97564065088181], ["MongoDB", 55.2106770300675], ["Cloud Firestore", 52.49948990002041], ["MariaDB", 53.153019636902556], ["Microsoft SQL Server", 54.66010458320517], ["MySQL", 50.77011019721172], ["SQLite", 58.957682236675396], ["Datomic", 70.49180327868852], ["Dynamodb", 49.94115916446014], ["Cockroachdb", 50.18867924528302], ["DuckDB", 65.67164179104478], ["Neo4J", 46.0195530726257], ["Snowflake", 50.879120879120876], ["Cosmos DB", 51.27245508982036], ["Cassandra", 37.00051894135963], ["H2", 41.41737891737892], ["Oracle", 36.03303583322233], ["InfluxDB", 46.43711142993783], ["RavenDB", 45.37444933920705], ["Microsoft Access", 21.277249002149215], ["Clickhouse", 55.35924617196702], ["Firebird", 53.81944444444444], ["IBM DB2", 24.54031117397454], ["Solr", 37.93103448275862], ["Couch DB", 31.567080045095828], ["TiDB", 64.3312101910828], ["Couchbase", 37.123745819397996]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of users want to use which DB? ", "labels": [{"query": "SELECT Databases.name, COUNT(Databases.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_DatabaseWantToWorkWith) FROM Databases JOIN Response_DatabaseWantToWorkWith ON Response_DatabaseWantToWorkWith.Databases_id = Databases.id GROUP BY Databases.id", "results": [["Supabase", 6.473379192592471], ["Firebase Realtime Database", 6.8279949434420715], ["PostgreSQL", 51.79688397826337], ["Redis", 27.794651212424686], ["BigQuery", 5.980857316412471], ["Elasticsearch", 15.99711053832641], ["MongoDB", 27.142880596279817], ["Cloud Firestore", 6.018617326919604], ["MariaDB", 13.654348147296876], ["Microsoft SQL Server", 19.06223834775328], ["MySQL", 29.17207072614142], ["SQLite", 27.799576431186484], ["Datomic", 0.993252450296334], ["Dynamodb", 9.14941471983714], ["Cockroachdb", 3.1045295595212687], ["DuckDB", 1.7484526604390012], ["Neo4J", 3.902414998932869], ["Snowflake", 3.8351036758549357], ["Cosmos DB", 4.45403950025447], ["Cassandra", 6.030109504030471], ["H2", 2.2656006304280014], ["Oracle", 5.806832920162204], ["InfluxDB", 2.718720756513602], ["RavenDB", 0.5516245013216003], ["Microsoft Access", 1.4512977951437342], ["Clickhouse", 2.107993630050401], ["Firebird", 1.4792073681272677], ["IBM DB2", 0.8143028352842672], ["Solr", 1.2723481801316676], ["Couch DB", 1.600696097585001], ["TiDB", 0.6156523452250005], ["Couchbase", 0.9308663459802006]]}, {"query": "SELECT Databases.Name AS \"Database\", COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS \"Percentage\" FROM Response_DatabaseWantToWorkWith JOIN Databases ON Response_DatabaseWantToWorkWith.Databases_id = Databases.id JOIN Responses ON Response_DatabaseWantToWorkWith.Response_id = Responses.id GROUP BY Databases.Name", "results": [["BigQuery", 4.084813419447435], ["Cassandra", 4.118451740222461], ["Clickhouse", 1.4397201291711519], ["Cloud Firestore", 4.110602798708288], ["Cockroachdb", 2.120335486185863], ["Cosmos DB", 3.0420254754216], ["Couch DB", 1.0932454251883745], ["Couchbase", 0.6357642626480086], ["Datomic", 0.678372802296376], ["DuckDB", 1.1941603875134554], ["Dynamodb", 6.248878722640832], ["Elasticsearch", 10.925726587728741], ["Firebase Realtime Database", 4.663392536777898], ["Firebird", 1.0102709006099748], ["H2", 1.547362755651238], ["IBM DB2", 0.5561535701471116], ["InfluxDB", 1.8568353067814856], ["MariaDB", 9.325663796196627], ["Microsoft Access", 0.9912091855041263], ["Microsoft SQL Server", 13.019151417294582], ["MongoDB", 18.53807857911733], ["MySQL", 19.92397739504844], ["Neo4J", 2.665276282741299], ["Oracle", 3.9659580193756727], ["PostgreSQL", 35.37630068173664], ["RavenDB", 0.3767491926803014], ["Redis", 18.983225690706853], ["SQLite", 18.986589522784357], ["Snowflake", 2.619303911015429], ["Solr", 0.8689899533548618], ["Supabase", 4.421196627197704], ["TiDB", 0.42047900968783636]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of users want to keep using their current cloud platform by platform?", "labels": [{"query": "SELECT Platforms.name, COUNT(Platforms.id) * 100.0 / count2 FROM Platforms JOIN Response_PlatformHaveWorkedWith ON Response_PlatformHaveWorkedWith.Platforms_id = Platforms.id JOIN Response_PlatformWantToWorkWith ON Response_PlatformWantToWorkWith.Response_id = Response_PlatformHaveWorkedWith.Response_id AND Response_PlatformWantToWorkWith.Platforms_id = Platforms.id JOIN (SELECT Platforms.name AS name2, COUNT(Platforms.id) AS count2 FROM Platforms JOIN Response_PlatformHaveWorkedWith ON Response_PlatformHaveWorkedWith.Platforms_id = Platforms.id GROUP BY Platforms.id) ON Platforms.name = name2 GROUP BY Platforms.id", "results": [["Amazon Web Services (AWS)", 62.24495830622745], ["Netlify", 52.7296082209377], ["Vercel", 69.18315166195667], ["Fly.io", 64.16009702850212], ["Render", 50.427350427350426], ["Google Cloud", 55.12897782063645], ["OpenStack", 42.37918215613383], ["VMware", 41.39806607574537], ["Vultr", 50.77376565954311], ["Cloudflare", 66.18548919709407], ["Heroku", 21.966977745872217], ["Firebase", 54.45590558498281], ["Digital Ocean", 53.03796107108291], ["Linode, now Akamai", 49.98185117967332], ["Microsoft Azure", 59.93371996685998], ["IBM Cloud Or Watson", 32.20973782771536], ["Oracle Cloud Infrastructure (OCI)", 55.0828729281768], ["Hetzner", 70.08797653958945], ["OpenShift", 49.371633752244165], ["OVH", 50.33641715727502], ["Managed Hosting", 55.23329129886507], ["Colocation", 56.53923541247485], ["Scaleway", 53.02547770700637]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of users want to use a cloud platform by cloud platform?", "labels": [{"query": "SELECT Platforms.name, COUNT(Platforms.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_PlatformWantToWorkWith) FROM Platforms JOIN Response_PlatformWantToWorkWith ON Response_PlatformWantToWorkWith.Platforms_id = Platforms.id GROUP BY Platforms.id", "results": [["Amazon Web Services (AWS)", 53.22951586497232], ["Netlify", 8.854369688937398], ["Vercel", 15.976066110548063], ["Fly.io", 5.122008263818508], ["Render", 2.2686520620565993], ["Google Cloud", 27.231620799875262], ["OpenStack", 2.3076323380369534], ["VMware", 5.135651360411631], ["Vultr", 2.097138847743042], ["Cloudflare", 19.400483355422157], ["Heroku", 5.558587354798472], ["Firebase", 16.30155141498402], ["Digital Ocean", 13.902315428393234], ["Linode, now Akamai", 5.470881733842676], ["Microsoft Azure", 28.629063693770952], ["IBM Cloud Or Watson", 1.3974428938956889], ["Oracle Cloud Infrastructure (OCI)", 2.9332657675216343], ["Hetzner", 5.482575816636782], ["OpenShift", 2.841662118967802], ["OVH", 2.9936851952911825], ["Managed Hosting", 2.9819911124970764], ["Colocation", 0.8926483199501053], ["Scaleway", 1.1460201138224058]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many users in % who are using a web technology want to keep using it by web technology?", "labels": [{"query": "SELECT WebFrameworks.name, COUNT(WebFrameworks.id) * 100.0 / count2 FROM WebFrameworks JOIN Response_WebFrameHaveWorkedWith ON Response_WebFrameHaveWorkedWith.WebFrameworks_id = WebFrameworks.id JOIN Response_WebFrameWantToWorkWith ON Response_WebFrameWantToWorkWith.Response_id = Response_WebFrameHaveWorkedWith.Response_id AND Response_WebFrameWantToWorkWith.WebFrameworks_id = WebFrameworks.id JOIN (SELECT WebFrameworks.name AS name2, COUNT(WebFrameworks.id) AS count2 FROM WebFrameworks JOIN Response_WebFrameHaveWorkedWith ON Response_WebFrameHaveWorkedWith.WebFrameworks_id = WebFrameworks.id GROUP BY WebFrameworks.id) ON WebFrameworks.name = name2 GROUP BY WebFrameworks.id", "results": [["Next.js", 65.95389241563649], ["React", 63.609843154751694], ["Remix", 57.01754385964912], ["Vue.js", 57.86698418098316], ["Deno", 63.81850324101355], ["Elm", 53.10344827586207], ["Nuxt.js", 57.23981900452489], ["Svelte", 74.50031559015359], ["Node.js", 64.62809377652975], ["Ruby on Rails", 52.96954314720812], ["WordPress", 32.517700957934196], ["Express", 54.25846998482988], ["Gatsby", 28.65671641791045], ["NestJS", 60.20103232817169], ["Angular", 50.753768844221106], ["AngularJS", 19.223338485316848], ["jQuery", 32.89406994424734], ["Phoenix", 82.08446866485014], ["Solid.js", 71.70582226762002], ["FastAPI", 64.48826291079813], ["Fastify", 57.801899592944366], ["Flask", 45.362949393176095], ["ASP.NET CORE", 70.88937457969065], ["Qwik", 66.58097686375321], ["Spring Boot", 59.489688919958056], ["Laravel", 52.62867647058823], ["Symfony", 51.890482398956976], ["Django", 50.50983248361253], ["ASP.NET", 38.258029395753944], ["Blazor", 61.01113967437875], ["CodeIgniter", 25.525040387722132], ["Drupal", 25.688756515264334], ["Play Framework", 33.76146788990825], ["Lit", 55.714285714285715]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many users in % want to use a web technology by web technology?", "labels": [{"query": "SELECT WebFrameworks.name, COUNT(WebFrameworks.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_WebFrameWantToWorkWith) FROM WebFrameworks JOIN Response_WebFrameWantToWorkWith ON Response_WebFrameWantToWorkWith.WebFrameworks_id = WebFrameworks.id GROUP BY WebFrameworks.id", "results": [["Next.js", 24.900865335471703], ["React", 42.473696269011825], ["Remix", 3.9636241870957507], ["Vue.js", 21.15049082673904], ["Deno", 8.522937558379303], ["Elm", 1.7976419167797537], ["Nuxt.js", 5.9762781762746515], ["Svelte", 17.27674873548228], ["Node.js", 40.582647468320964], ["Ruby on Rails", 6.170141520241096], ["WordPress", 6.970268412611691], ["Express", 16.064221638673974], ["Gatsby", 1.8751872543663313], ["NestJS", 7.266350610669534], ["Angular", 16.49424578347227], ["AngularJS", 4.663294619411008], ["jQuery", 10.288856382510001], ["Phoenix", 3.9865353095645126], ["Solid.js", 6.076734636329991], ["FastAPI", 10.419273541178336], ["Fastify", 2.897375795280309], ["Flask", 9.716078320790963], ["ASP.NET CORE", 17.729684002749334], ["Qwik", 3.819107876138947], ["Spring Boot", 11.608889515517879], ["Laravel", 7.091873601099734], ["Symfony", 2.803968911369204], ["Django", 12.239826580426852], ["ASP.NET", 7.766870516910171], ["Blazor", 8.024180046174724], ["CodeIgniter", 0.8036516804427134], ["Drupal", 0.9340688391110484], ["Play Framework", 0.5956891841878007], ["Lit", 1.1138330307890238]]}, {"query": "SELECT WebFrameworks.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_WebframeWantToWorkWith JOIN WebFrameworks ON Response_WebframeWantToWorkWith.WebFrameworks_id = WebFrameworks.id GROUP BY WebFrameworks.Name", "results": [["ASP.NET", 4.941469321851454], ["ASP.NET CORE", 11.28005023322569], ["Angular", 10.494034804449228], ["AngularJS", 2.9668998923573735], ["Blazor", 5.1051758162899175], ["CodeIgniter", 0.511302475780409], ["Deno", 5.422497308934338], ["Django", 7.78727125941873], ["Drupal", 0.5942770003588087], ["Elm", 1.143702906350915], ["Express", 10.220443128812343], ["FastAPI", 6.628991747398636], ["Fastify", 1.8433799784714746], ["Flask", 6.181602081090778], ["Gatsby", 1.1930391101542879], ["Laravel", 4.5120200932902765], ["Lit", 0.7086472909939002], ["NestJS", 4.6230265518478655], ["Next.js", 15.842527807678508], ["Node.js", 25.819653749551488], ["Nuxt.js", 3.8022515249372084], ["Phoenix", 2.536329386437029], ["Play Framework", 0.3789917473986365], ["Qwik", 2.4298080373161106], ["React", 27.022784355938285], ["Remix", 2.5217527807678506], ["Ruby on Rails", 3.9255920344456405], ["Solid.js", 3.86616433440976], ["Spring Boot", 7.385853964836742], ["Svelte", 10.991881951919627], ["Symfony", 1.783952278435594], ["Vue.js", 13.456449587369931], ["WordPress", 4.434651955507714], ["jQuery", 6.546017222820237]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of participants want to keep using a framework they are currently using by framework?", "labels": [{"query": "SELECT MiscTech.name, COUNT(MiscTech.id) * 100.0 / count2 FROM MiscTech JOIN Response_MiscTechHaveWorkedWith ON Response_MiscTechHaveWorkedWith.MiscTech_id = MiscTech.id JOIN Response_MiscTechWantToWorkWith ON Response_MiscTechWantToWorkWith.Response_id = Response_MiscTechHaveWorkedWith.Response_id AND Response_MiscTechWantToWorkWith.MiscTech_id = MiscTech.id JOIN (SELECT MiscTech.name AS name2, COUNT(MiscTech.id) AS count2 FROM MiscTech JOIN Response_MiscTechHaveWorkedWith ON Response_MiscTechHaveWorkedWith.MiscTech_id = MiscTech.id GROUP BY MiscTech.id) ON MiscTech.name = name2 GROUP BY MiscTech.id", "results": [["Electron", 39.786552828175026], ["React Native", 53.99682371625199], ["Tauri", 77.9023746701847], ["Capacitor", 52.44010647737356], ["Uno Platform", 60.50420168067227], ["Xamarin", 23.645320197044335], ["RabbitMQ", 56.122154998559495], ["Spring Framework", 59.128686327077745], ["NumPy", 66.35816071690907], ["Pandas", 63.29570398243963], ["Scikit-Learn", 65.7359204921912], ["TensorFlow", 57.43950039032006], [".NET MAUI", 58.9319771137953], ["Apache Kafka", 63.45254010695187], ["Apache Spark", 55.05822416302766], ["Hugging Face Transformers", 72.73218142548596], ["Ionic", 38.60369609856263], ["JAX", 49.297971918876755], ["Tidyverse", 65.16746411483254], ["Torch/PyTorch", 68.25288919102651], [".NET (5+) ", 70.22640399882387], [".NET Framework (1.0 - 4.8)", 31.356968215158926], ["Flutter", 64.43248532289628], ["GTK", 46.03550295857988], ["Keras", 60.86650228953857], ["CUDA", 59.796186719263645], ["Hadoop", 35.86744639376219], ["MFC", 28.166915052160952], ["OpenGL", 54.75986277873071], ["Qt", 45.33060668029993], ["Opencv", 58.661778185151235], ["SwiftUI", 65.75860764283011], ["Quarkus", 61.07470511140236], ["Micronaut", 52.38095238095238], ["Ktor", 64.72972972972973], ["Cordova", 21.03960396039604]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of participants want to use which framework?", "labels": [{"query": "SELECT MiscTech.name, COUNT(MiscTech.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_MiscTechWantToWorkWith) FROM MiscTech JOIN Response_MiscTechWantToWorkWith ON Response_MiscTechWantToWorkWith.MiscTech_id = MiscTech.id GROUP BY MiscTech.id", "results": [["Electron", 8.741034836065573], ["React Native", 12.862875683060109], ["Tauri", 6.907445355191257], ["Capacitor", 1.953125], ["Uno Platform", 1.171875], ["Xamarin", 2.7856045081967213], ["RabbitMQ", 13.763661202185792], ["Spring Framework", 11.281164617486338], ["NumPy", 22.402237021857925], ["Pandas", 20.502476092896174], ["Scikit-Learn", 11.72088456284153], ["TensorFlow", 19.51630806010929], [".NET MAUI", 8.17964480874317], ["Apache Kafka", 15.146857923497267], ["Apache Spark", 7.005635245901639], ["Hugging Face Transformers", 6.800717213114754], ["Ionic", 2.563609972677596], ["JAX", 1.7695525956284153], ["Tidyverse", 1.7375341530054644], ["Torch/PyTorch", 17.66564207650273], [".NET (5+) ", 29.64694330601093], [".NET Framework (1.0 - 4.8)", 8.22660519125683], ["Flutter", 16.175717213114755], ["GTK", 3.3384562841530054], ["Keras", 6.2350580601092895], ["CUDA", 8.331198770491802], ["Hadoop", 3.475068306010929], ["MFC", 0.510160519125683], ["OpenGL", 10.14344262295082], ["Qt", 6.640625], ["Opencv", 10.489241803278688], ["SwiftUI", 7.4069330601092895], ["Quarkus", 2.576417349726776], ["Micronaut", 1.5304815573770492], ["Ktor", 2.070525956284153], ["Cordova", 1.1014344262295082]]}, {"query": "SELECT WebFrameworks.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_WebframeWantToWorkWith JOIN WebFrameworks ON Response_WebframeWantToWorkWith.WebFrameworks_id = WebFrameworks.id GROUP BY WebFrameworks_id", "results": [["Next.js", 15.842527807678508], ["React", 27.022784355938285], ["Remix", 2.5217527807678506], ["Vue.js", 13.456449587369931], ["Deno", 5.422497308934338], ["Elm", 1.143702906350915], ["Nuxt.js", 3.8022515249372084], ["Svelte", 10.991881951919627], ["Node.js", 25.819653749551488], ["Ruby on Rails", 3.9255920344456405], ["WordPress", 4.434651955507714], ["Express", 10.220443128812343], ["Gatsby", 1.1930391101542879], ["NestJS", 4.6230265518478655], ["Angular", 10.494034804449228], ["AngularJS", 2.9668998923573735], ["jQuery", 6.546017222820237], ["Phoenix", 2.536329386437029], ["Solid.js", 3.86616433440976], ["FastAPI", 6.628991747398636], ["Fastify", 1.8433799784714746], ["Flask", 6.181602081090778], ["ASP.NET CORE", 11.28005023322569], ["Qwik", 2.4298080373161106], ["Spring Boot", 7.385853964836742], ["Laravel", 4.5120200932902765], ["Symfony", 1.783952278435594], ["Django", 7.78727125941873], ["ASP.NET", 4.941469321851454], ["Blazor", 5.1051758162899175], ["CodeIgniter", 0.511302475780409], ["Drupal", 0.5942770003588087], ["Play Framework", 0.3789917473986365], ["Lit", 0.7086472909939002]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many users want to keep using their technical tool in % and by tool?", "labels": [{"query": "SELECT TechTools.name, COUNT(TechTools.id) * 100.0 / count2 FROM TechTools JOIN Response_ToolsTechHaveWorkedWith ON Response_ToolsTechHaveWorkedWith.TechTools_id = TechTools.id JOIN Response_ToolsTechWantToWorkWith ON Response_ToolsTechWantToWorkWith.Response_id = Response_ToolsTechHaveWorkedWith.Response_id AND Response_ToolsTechWantToWorkWith.TechTools_id = TechTools.id JOIN (SELECT TechTools.name AS name2, COUNT(TechTools.id) AS count2 FROM TechTools JOIN Response_ToolsTechHaveWorkedWith ON Response_ToolsTechHaveWorkedWith.TechTools_id = TechTools.id GROUP BY TechTools.id) ON TechTools.name = name2 GROUP BY TechTools.id", "results": [["Docker", 74.98851797239479], ["Kubernetes", 71.27129750982962], ["npm", 59.66825721426948], ["Pip", 59.4605042738714], ["Vite", 78.94469382569662], ["Webpack", 38.25982598259826], ["Yarn", 54.442861214021086], ["Godot", 71.46892655367232], ["pnpm", 71.86258935663224], ["Unity 3D", 55.90721093328538], ["Unreal Engine", 57.453666398066076], ["Cargo", 83.83129983667979], ["Make", 57.19324299238909], ["Nix", 73.4669095324833], ["Homebrew", 67.45622485408285], ["Terraform", 68.46052051168945], ["Bun", 66.7741935483871], ["Chocolatey", 45.24504532186204], ["Maven (build tool)", 50.78041126434883], ["Ansible", 55.107643404132354], ["Dagger", 53.00230946882217], ["Wasmer", 66.35730858468678], ["MSBuild", 59.07276995305164], ["NuGet", 66.03187576624438], ["Podman", 68.74400767018217], ["Visual Studio Solution", 67.77295549314952], ["Gradle", 52.15283003093387], ["Chef", 26.2532981530343], ["CMake", 47.82722058056666], ["GNU GCC", 67.76250249053597], ["LLVM's Clang", 72.00872629635845], ["Ant", 24.71530999578237], ["Boost.Test", 42.98245614035088], ["Composer", 57.468879668049794], ["APT", 66.21107266435986], ["Puppet", 37.0], ["bandit", 58.83977900552486], ["doctest", 65.13994910941476], ["MSVC", 50.5455537370431], ["cppunit", 43.93063583815029], ["Google Test", 60.3448275862069], ["ELFspy", 50.98039215686274], ["Pacman", 71.21212121212122], ["Ninja", 57.547814207650276], ["Meson", 51.71102661596958], ["QMake", 33.5707019328586], ["Catch2", 60.33182503770739], ["Pulumi", 60.09104704097117], ["build2", 35.22012578616352], ["snitch", 47.27272727272727], ["tunit", 49.27536231884058], ["SCons", 33.597883597883595], ["lest", 58.18181818181818], ["CUTE", 40.74074074074074], ["liblittletest", 59.45945945945946]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many users want to work with a specific technical tool in %?", "labels": [{"query": "SELECT TechTools.name, COUNT(TechTools.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_ToolsTechWantToWorkWith) FROM TechTools JOIN Response_ToolsTechWantToWorkWith ON Response_ToolsTechWantToWorkWith.TechTools_id = TechTools.id GROUP BY TechTools.id", "results": [["Docker", 53.781746322184], ["Kubernetes", 28.432994217960918], ["npm", 35.85596135548562], ["Pip", 21.17543731244968], ["Vite", 18.720632364780794], ["Webpack", 10.8848715509039], ["Yarn", 16.005269706506624], ["Godot", 5.072092512625338], ["pnpm", 8.351021005635658], ["Unity 3D", 8.274903022762205], ["Unreal Engine", 7.381980531362073], ["Cargo", 17.829173680743615], ["Make", 14.619044133791993], ["Nix", 3.684403132547757], ["Homebrew", 18.13071799751153], ["Terraform", 15.004025470248115], ["Bun", 3.334553172802459], ["Chocolatey", 5.028178291736808], ["Maven (build tool)", 9.83824928639391], ["Ansible", 9.308351021005636], ["Dagger", 1.1695820829978776], ["Wasmer", 1.8107297079704312], ["MSBuild", 7.655712508233917], ["NuGet", 12.37941886847691], ["Podman", 6.083583400424504], ["Visual Studio Solution", 12.237429554270658], ["Gradle", 10.788260264949132], ["Chef", 0.8358340042450414], ["CMake", 9.558662080070263], ["GNU GCC", 10.549659664788114], ["LLVM's Clang", 7.664495352411623], ["Ant", 1.0949279074873746], ["Boost.Test", 0.37180707018956305], ["Composer", 5.631266925272634], ["APT", 5.802532386737905], ["Puppet", 1.1242040547463954], ["bandit", 0.42450413525580033], ["doctest", 0.5635658347361487], ["MSVC", 2.9320061479909243], ["cppunit", 0.4142574837151431], ["Google Test", 2.757813071799751], ["ELFspy", 0.08929224914001317], ["Pacman", 5.962087389299568], ["Ninja", 3.131083949352265], ["Meson", 1.2837590573080582], ["QMake", 0.6352923955207495], ["Catch2", 0.7889921686306082], ["Pulumi", 1.6160433286979434], ["build2", 0.22835394862036157], ["snitch", 0.09514747859181731], ["tunit", 0.09514747859181731], ["SCons", 0.26787674742003953], ["lest", 0.08343701968820903], ["CUTE", 0.08050940496230696], ["liblittletest", 0.0614799092439435]]}, {"query": "SELECT TechTools.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_ToolsTechWantToWorkWith JOIN TechTools ON Response_ToolsTechWantToWorkWith.TechTools_id = TechTools.id GROUP BY TechTools.Name", "results": [["APT", 4.444743451740223], ["Ansible", 7.130202726946537], ["Ant", 0.8387154646573376], ["Boost.Test", 0.2848044492285612], ["Bun", 2.5542698241837103], ["CMake", 7.321941155364191], ["CUTE", 0.061670254754216], ["Cargo", 13.657158234660926], ["Catch2", 0.6043684965913169], ["Chef", 0.6402493720846789], ["Chocolatey", 3.851587728740581], ["Composer", 4.313554000717618], ["Dagger", 0.8959006099748834], ["Docker", 41.196851453175455], ["ELFspy", 0.06839791890922138], ["GNU GCC", 8.081045927520632], ["Godot", 3.8852260495156083], ["Google Test", 2.11248654467169], ["Gradle", 8.263814137064944], ["Homebrew", 13.888141370649445], ["Kubernetes", 21.77969142447076], ["LLVM's Clang", 5.871008252601364], ["MSBuild", 5.864280588446358], ["MSVC", 2.24591855041263], ["Make", 11.198196986006458], ["Maven (build tool)", 7.536105130965195], ["Meson", 0.9833602439899534], ["Ninja", 2.398412271259419], ["Nix", 2.8222551130247577], ["NuGet", 9.482642626480086], ["Pacman", 4.566962683889487], ["Pip", 16.220398277717976], ["Podman", 4.6600287047003945], ["Pulumi", 1.2378902045209903], 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Response_NEWCollabToolsHaveWorkedWith.NewCollabTools_id = NewCollabTools.id JOIN Response_NEWCollabToolsWantToWorkWith ON Response_NEWCollabToolsWantToWorkWith.Response_id = Response_NEWCollabToolsHaveWorkedWith.Response_id AND Response_NEWCollabToolsWantToWorkWith.NewCollabTools_id = NewCollabTools.id JOIN (SELECT NewCollabTools.name AS name2, COUNT(NewCollabTools.id) AS count2 FROM NewCollabTools JOIN Response_NEWCollabToolsHaveWorkedWith ON Response_NEWCollabToolsHaveWorkedWith.NewCollabTools_id = NewCollabTools.id GROUP BY NewCollabTools.id) ON NewCollabTools.name = name2 GROUP BY NewCollabTools.id", "results": [["Vim", 66.7357727791023], ["Visual Studio Code", 76.97553023058957], ["Emacs", 64.6131099063578], ["Helix", 71.81883537023724], ["IntelliJ IDEA", 66.38803912275411], ["WebStorm", 64.74639949906074], ["Neovim", 81.43357323477923], ["RubyMine", 58.29596412556054], ["Xcode", 49.119804400978], ["DataGrip", 70.51865332120109], ["IPython", 65.87789872219594], ["RStudio", 46.05206999573197], ["Jupyter Notebook/JupyterLab", 61.23911465892598], ["Android Studio", 46.71888957603243], ["Notepad++", 60.27777777777778], ["Code::Blocks", 17.6697159364468], ["Sublime Text", 52.04324720542422], ["Kate", 59.326993416239944], ["condo", 47.36842105263158], ["Goland", 69.01610017889088], ["Geany", 45.5410225921522], ["Spyder", 37.86331500392773], ["PhpStorm", 59.68904057641259], ["Rider", 73.81199418966591], ["Atom", 19.121871153057036], ["BBEdit", 56.094182825484765], ["Eclipse", 27.915936952714535], ["Nano", 57.25318573819024], ["Netbeans", 23.6231884057971], ["PyCharm", 61.518407331331964], ["CLion", 62.12264150943396], ["Fleet", 48.59926918392205], ["VSCodium", 64.26799007444168], ["Qt Creator", 41.21122599704579], ["Rad Studio (Delphi, C++ Builder)", 77.56246812850587], ["Micro", 63.70235934664247], ["TextMate", 48.141891891891895], ["Nova", 61.2], ["Visual Studio", 59.979678927047345]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Which IDEs do people want to use in %?", "labels": [{"query": "SELECT NewCollabTools.name, COUNT(NewCollabTools.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_NEWCollabToolsWantToWorkWith) FROM NewCollabTools JOIN Response_NEWCollabToolsWantToWorkWith ON Response_NEWCollabToolsWantToWorkWith.NewCollabTools_id = NewCollabTools.id GROUP BY NewCollabTools.id", "results": [["Vim", 18.488173361687693], ["Visual Studio Code", 65.99955641952276], ["Emacs", 4.284465550757348], ["Helix", 2.362718365536406], ["IntelliJ IDEA", 22.031598585761067], ["WebStorm", 6.7098070424924], ["Neovim", 14.133256793956868], ["RubyMine", 1.152004592362588], ["Xcode", 7.535649519237041], ["DataGrip", 4.658899659486751], ["IPython", 4.086158984461637], ["RStudio", 1.7573614789494971], ["Jupyter Notebook/JupyterLab", 10.54155957677204], ["Android Studio", 11.750968701483385], ["Notepad++", 16.970867199833005], ["Code::Blocks", 0.6418870435361191], ["Sublime Text", 7.8800767133295935], ["Kate", 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count2 FROM OfficeStackAsync JOIN Response_OfficeStackAsyncHaveWorkedWith ON Response_OfficeStackAsyncHaveWorkedWith.OfficeStackAsync_id = OfficeStackAsync.id JOIN Response_OfficeStackAsyncWantToWorkWith ON Response_OfficeStackAsyncWantToWorkWith.Response_id = Response_OfficeStackAsyncHaveWorkedWith.Response_id AND Response_OfficeStackAsyncWantToWorkWith.OfficeStackAsync_id = OfficeStackAsync.id JOIN (SELECT OfficeStackAsync.name AS name2, COUNT(OfficeStackAsync.id) AS count2 FROM OfficeStackAsync JOIN Response_OfficeStackAsyncHaveWorkedWith ON Response_OfficeStackAsyncHaveWorkedWith.OfficeStackAsync_id = OfficeStackAsync.id GROUP BY OfficeStackAsync.id) ON OfficeStackAsync.name = name2 GROUP BY OfficeStackAsync.id", "results": [["Asana", 36.94812362030905], ["Basecamp", 33.8235294117647], ["GitHub Discussions", 70.19254403932814], ["Jira", 53.100260347484195], ["Linear", 74.02684563758389], ["Notion", 64.27733916985852], ["Trello", 46.935843092176164], ["Markdown File", 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want_to_work_with, COUNT(*) FROM Response_PlatformHaveWorkedWith JOIN Platforms AS Platforms1 ON Response_PlatformHaveWorkedWith.Platforms_id = Platforms1.id JOIN Response_PlatformWantToWorkWith ON Response_PlatformWantToWorkWith.Response_id = Response_PlatformHaveWorkedWith.Response_id JOIN Platforms AS Platforms2 ON Response_PlatformWantToWorkWith.Platforms_id = Platforms2.id JOIN Responses ON Response_PlatformWantToWorkWith.Response_id = Responses.id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY Platforms1.name, Platforms2.name", "results": [["Amazon Web Services (AWS)", "Amazon Web Services (AWS)", 18529], ["Amazon Web Services (AWS)", "Cloudflare", 4784], ["Amazon Web Services (AWS)", "Colocation", 186], ["Amazon Web Services (AWS)", "Digital Ocean", 3421], ["Amazon Web Services (AWS)", "Firebase", 3374], ["Amazon Web Services (AWS)", "Fly.io", 1488], ["Amazon Web Services (AWS)", "Google Cloud", 6478], ["Amazon Web Services (AWS)", "Heroku", 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"Signal", 4171], ["Slack", "Skype", 1635], ["Slack", "Slack", 27865], ["Slack", "Symphony", 71], ["Slack", "Telegram", 5031], ["Slack", "Unify Circuit", 44], ["Slack", "Whatsapp", 6590], ["Slack", "Wickr", 85], ["Slack", "Wire", 96], ["Slack", "Zoom", 11197], ["Slack", "Zulip", 621], ["Symphony", "Cisco Webex Teams", 42], ["Symphony", "Coolfire Core", 28], ["Symphony", "Discord", 116], ["Symphony", "Google Chat", 55], ["Symphony", "Google Meet", 82], ["Symphony", "IRC", 45], ["Symphony", "Jitsi", 37], ["Symphony", "Matrix", 38], ["Symphony", "Mattermost", 31], ["Symphony", "Microsoft Teams", 133], ["Symphony", "Ringcentral", 29], ["Symphony", "Rocketchat", 32], ["Symphony", "Signal", 64], ["Symphony", "Skype", 62], ["Symphony", "Slack", 131], ["Symphony", "Symphony", 116], ["Symphony", "Telegram", 76], ["Symphony", "Unify Circuit", 29], ["Symphony", "Whatsapp", 104], ["Symphony", "Wickr", 31], ["Symphony", "Wire", 33], ["Symphony", "Zoom", 163], ["Symphony", "Zulip", 39], ["Telegram", "Cisco Webex Teams", 459], ["Telegram", "Coolfire Core", 48], ["Telegram", "Discord", 6844], ["Telegram", "Google Chat", 1255], ["Telegram", "Google Meet", 5450], ["Telegram", "IRC", 765], ["Telegram", "Jitsi", 843], ["Telegram", "Matrix", 1207], ["Telegram", "Mattermost", 638], ["Telegram", "Microsoft Teams", 3629], ["Telegram", "Ringcentral", 67], ["Telegram", "Rocketchat", 289], ["Telegram", "Signal", 2657], ["Telegram", "Skype", 1430], ["Telegram", "Slack", 5458], ["Telegram", "Symphony", 78], ["Telegram", "Telegram", 10543], ["Telegram", "Unify Circuit", 52], ["Telegram", "Whatsapp", 5442], ["Telegram", "Wickr", 90], ["Telegram", "Wire", 114], ["Telegram", "Zoom", 4374], ["Telegram", "Zulip", 294], ["Unify Circuit", "Cisco Webex Teams", 28], ["Unify Circuit", "Coolfire Core", 29], ["Unify Circuit", "Discord", 40], ["Unify Circuit", "Google Chat", 34], ["Unify Circuit", "Google Meet", 37], ["Unify Circuit", "IRC", 27], ["Unify Circuit", "Jitsi", 28], ["Unify Circuit", "Matrix", 30], ["Unify Circuit", "Mattermost", 26], ["Unify Circuit", "Microsoft Teams", 40], ["Unify Circuit", "Ringcentral", 26], ["Unify Circuit", "Rocketchat", 28], ["Unify Circuit", "Signal", 34], ["Unify Circuit", "Skype", 30], ["Unify Circuit", "Slack", 36], ["Unify Circuit", "Symphony", 26], ["Unify Circuit", "Telegram", 36], ["Unify Circuit", "Unify Circuit", 44], ["Unify Circuit", "Whatsapp", 35], ["Unify Circuit", "Wickr", 29], ["Unify Circuit", "Wire", 30], ["Unify Circuit", "Zoom", 36], ["Unify Circuit", "Zulip", 29], ["Whatsapp", "Cisco Webex Teams", 762], ["Whatsapp", "Coolfire Core", 49], ["Whatsapp", "Discord", 10425], ["Whatsapp", "Google Chat", 2089], ["Whatsapp", "Google Meet", 8393], ["Whatsapp", "IRC", 811], ["Whatsapp", "Jitsi", 912], ["Whatsapp", "Matrix", 1206], ["Whatsapp", "Mattermost", 769], ["Whatsapp", "Microsoft Teams", 7368], ["Whatsapp", "Ringcentral", 83], ["Whatsapp", "Rocketchat", 322], ["Whatsapp", "Signal", 3879], ["Whatsapp", "Skype", 2121], ["Whatsapp", "Slack", 8788], ["Whatsapp", "Symphony", 101], ["Whatsapp", "Telegram", 6539], ["Whatsapp", "Unify Circuit", 53], ["Whatsapp", "Whatsapp", 15051], ["Whatsapp", "Wickr", 97], ["Whatsapp", "Wire", 112], ["Whatsapp", "Zoom", 7337], ["Whatsapp", "Zulip", 345], ["Wickr", "Cisco Webex Teams", 34], ["Wickr", "Coolfire Core", 25], ["Wickr", "Discord", 105], ["Wickr", "Google Chat", 49], ["Wickr", "Google Meet", 83], ["Wickr", "IRC", 43], ["Wickr", "Jitsi", 34], ["Wickr", "Matrix", 41], ["Wickr", "Mattermost", 31], ["Wickr", "Microsoft Teams", 74], ["Wickr", "Ringcentral", 27], ["Wickr", "Rocketchat", 29], ["Wickr", "Signal", 90], ["Wickr", "Skype", 51], ["Wickr", "Slack", 101], ["Wickr", "Symphony", 26], ["Wickr", "Telegram", 82], ["Wickr", "Unify Circuit", 26], ["Wickr", "Whatsapp", 76], ["Wickr", "Wickr", 90], ["Wickr", "Wire", 33], ["Wickr", "Zoom", 78], ["Wickr", "Zulip", 27], ["Wire", "Cisco Webex Teams", 40], ["Wire", "Coolfire Core", 28], ["Wire", "Discord", 107], ["Wire", "Google Chat", 50], ["Wire", "Google Meet", 83], ["Wire", "IRC", 43], ["Wire", "Jitsi", 55], ["Wire", "Matrix", 62], ["Wire", "Mattermost", 43], ["Wire", "Microsoft Teams", 95], ["Wire", "Ringcentral", 30], ["Wire", "Rocketchat", 38], ["Wire", "Signal", 110], ["Wire", "Skype", 61], ["Wire", "Slack", 105], ["Wire", "Symphony", 28], ["Wire", "Telegram", 101], ["Wire", "Unify Circuit", 28], ["Wire", "Whatsapp", 81], ["Wire", "Wickr", 37], ["Wire", "Wire", 107], ["Wire", "Zoom", 91], ["Wire", "Zulip", 42], ["Zoom", "Cisco Webex Teams", 949], ["Zoom", "Coolfire Core", 49], ["Zoom", "Discord", 12705], ["Zoom", "Google Chat", 2671], ["Zoom", "Google Meet", 11053], ["Zoom", "IRC", 1155], ["Zoom", "Jitsi", 1192], ["Zoom", "Matrix", 1597], ["Zoom", "Mattermost", 1150], ["Zoom", "Microsoft Teams", 9135], ["Zoom", "Ringcentral", 119], ["Zoom", "Rocketchat", 403], ["Zoom", "Signal", 4488], ["Zoom", "Skype", 2355], ["Zoom", "Slack", 17221], ["Zoom", "Symphony", 126], ["Zoom", "Telegram", 6173], ["Zoom", "Unify Circuit", 56], ["Zoom", "Whatsapp", 8683], ["Zoom", "Wickr", 94], ["Zoom", "Wire", 125], ["Zoom", "Zoom", 17641], ["Zoom", "Zulip", 575], ["Zulip", "Cisco Webex Teams", 46], ["Zulip", "Coolfire Core", 28], ["Zulip", "Discord", 456], ["Zulip", "Google Chat", 100], ["Zulip", "Google Meet", 313], ["Zulip", "IRC", 126], ["Zulip", "Jitsi", 185], ["Zulip", "Matrix", 231], ["Zulip", "Mattermost", 103], ["Zulip", "Microsoft Teams", 171], ["Zulip", "Ringcentral", 31], ["Zulip", "Rocketchat", 46], ["Zulip", "Signal", 309], ["Zulip", "Skype", 71], ["Zulip", "Slack", 396], ["Zulip", "Symphony", 31], ["Zulip", "Telegram", 207], ["Zulip", "Unify Circuit", 29], ["Zulip", "Whatsapp", 202], ["Zulip", "Wickr", 31], ["Zulip", "Wire", 36], ["Zulip", "Zoom", 293], ["Zulip", "Zulip", 683]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents learning to code want to use which AI search tool and what search tool are they using?", "labels": [{"query": "SELECT AISearch.name AS have_worked_with, AISearch.name AS want_to_work_with, COUNT(*) FROM Response_AISearchHaveWorkedWith JOIN AISearch ON Response_AISearchHaveWorkedWith.AISearch_id = AISearch.id JOIN Response_AISearchWantToWorkWith ON Response_AISearchWantToWorkWith.Response_id = Response_AISearchHaveWorkedWith.Response_id JOIN Responses ON Response_AISearchWantToWorkWith.Response_id = Responses.id WHERE Responses.ResponderDescription = 'I am learning to code' GROUP BY AISearch.name, AISearch.name", "results": [["Andi", "Andi", 129], ["Bing AI", "Bing AI", 2657], ["ChatGPT", "ChatGPT", 5752], ["Google Bard AI", "Google Bard AI", 1287], ["Metaphor", "Metaphor", 97], ["Neeva AI", "Neeva AI", 152], ["Perplexity AI", "Perplexity AI", 270], ["Phind", "Phind", 547], ["Quora Poe", "Quora Poe", 327], ["WolframAlpha", "WolframAlpha", 1382], ["You.com", "You.com", 535]]}, {"query": "SELECT AISearch.Name AS \"AI Search Tool\", COUNT(*) AS \"Number of Respondents\" FROM Response_AISearchWantToWorkWith JOIN AISearch ON Response_AISearchWantToWorkWith.AISearch_id = AISearch.id JOIN Response_LearningToCodeMethods ON Response_AISearchWantToWorkWith.Response_id = Response_LearningToCodeMethods.Response_id GROUP BY AISearch.Name UNION SELECT AISearch.Name AS \"AI Search Tool\", COUNT(*) AS \"Number of Respondents\" FROM Response_AISearchHaveWorkedWith JOIN AISearch ON Response_AISearchHaveWorkedWith.AISearch_id = AISearch.id JOIN Response_LearningToCodeMethods ON Response_AISearchHaveWorkedWith.Response_id = Response_LearningToCodeMethods.Response_id GROUP BY AISearch.Name", "results": [["Andi", 737], ["Andi", 1612], ["Bing AI", 42284], ["Bing AI", 44747], ["ChatGPT", 144458], ["ChatGPT", 179331], ["Google Bard AI", 21939], ["Google Bard AI", 43823], ["Metaphor", 496], ["Metaphor", 1696], ["Neeva AI", 1077], ["Neeva AI", 1925], ["Perplexity AI", 2547], ["Perplexity AI", 3526], ["Phind", 6976], ["Phind", 7613], ["Quora Poe", 2351], ["Quora Poe", 2864], ["WolframAlpha", 25815], ["WolframAlpha", 29454], ["You.com", 4620], ["You.com", 5587]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What AI developer tool do how many respondents want to who has used what AI developer tool previously?", "labels": [{"query": "SELECT AIDev.name AS have_worked_with, AIDev.name AS want_to_work_with, COUNT(*) FROM Response_AIDevHaveWorkedWith JOIN AIDev ON Response_AIDevHaveWorkedWith.AIDev_id = AIDev.id JOIN Response_AIDevWantToWorkWith ON Response_AIDevWantToWorkWith.Response_id = Response_AIDevHaveWorkedWith.Response_id GROUP BY AIDev.name, AIDev.name", "results": [["AWS CodeWhisperer", "AWS CodeWhisperer", 2956], ["Adrenaline", "Adrenaline", 519], ["Codeium", "Codeium", 899], ["GitHub Copilot", "GitHub Copilot", 21588], ["Mintlify", "Mintlify", 548], ["Replit Ghostwriter", "Replit Ghostwriter", 726], ["Rubber Duck.AI", "Rubber Duck.AI", 469], ["Synk Code", "Synk Code", 1006], ["Tabnine", "Tabnine", 6373], ["Whispr AI", "Whispr AI", 934]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the average pay by programming language in dollar?", "labels": [{"query": "SELECT Languages.name, AVG(Responses.ConvertedCompYearly) FROM Responses JOIN Response_LanguageHaveWorkedWith ON Responses.id = Response_LanguageHaveWorkedWith.Response_id JOIN Languages ON Response_LanguageHaveWorkedWith.Languages_id = Languages.id GROUP BY Response_LanguageHaveWorkedWith.Languages_id", "results": [["HTML/CSS", 97730.18722627737], ["JavaScript", 100059.00022744256], ["Python", 109210.72897023479], ["Bash/Shell (all shells)", 118733.66764079148], ["C#", 102242.86673016338], ["Dart", 106978.4350305499], ["Elixir", 174773.4704968944], ["GDScript", 224510.3526119403], ["Rust", 131945.27951228523], ["Go", 131129.61292654712], ["Haskell", 236434.55469953775], ["OCaml", 448438.5447154472], ["PHP", 83080.61823094092], ["Ruby", 142087.52664223287], ["SQL", 100316.89280540802], ["TypeScript", 100365.1830972202], ["Ada", 1095432.2568093385], ["Clojure", 226901.47619047618], ["Java", 107365.55541148654], ["Lisp", 389494.98204667866], ["Raku", 1372007.0158730159], ["Scala", 173254.1076433121], ["Swift", 215075.64759825327], ["Zig", 428891.5238095238], ["Julia", 280932.77805486287], ["R", 151815.93188667874], ["PowerShell", 108575.00601805416], ["C++", 122076.8720009743], ["Kotlin", 119503.31861848125], ["Solidity", 231794.76978417265], ["C", 122876.24079232436], ["Assembly", 208343.7208706786], ["Perl", 182612.98910310143], ["Delphi", 215868.22304283603], ["Lua", 136249.0198789974], ["MATLAB", 146885.51410153104], ["Groovy", 145347.57000498255], ["APL", 2462996.8870967743], ["VBA", 171315.18019680196], ["Visual Basic (.Net)", 161144.72521551725], ["F#", 277939.78303747537], ["Nim", 715922.1937984496], ["Objective-C", 246212.47630922694], ["Crystal", 515074.875], ["Prolog", 702881.0], ["Cobol", 755668.8340080972], ["Fortran", 496051.06282722513], ["Erlang", 278031.41570881224], ["Apex", 356613.81469648564], ["SAS", 834179.3024390244], ["Flow", 790372.4424778761]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the plans on using AI in % among professional developers?", "labels": [{"query": "SELECT AISelect, COUNT(AISelect) * 100.0 / (SELECT COUNT(AISelect) FROM Responses WHERE ResponderDescription = 'I am a developer by profession') FROM Responses WHERE ResponderDescription = 'I am a developer by profession' GROUP BY AISelect", "results": [["No, and I don't plan to", 29.95225842913872], ["No, but I plan to soon", 25.880095780596992], ["Yes", 44.16764579026429]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of developers learning to code has which sentiment towards AI tools?", "labels": [{"query": "SELECT AISent, COUNT(AISent) * 100.0 / (SELECT COUNT(AISelect) FROM Responses WHERE ResponderDescription = 'I am learning to code') FROM Responses WHERE ResponderDescription = 'I am learning to code' AND NOT AISent IS NULL GROUP BY AISent", "results": [["Favorable", 40.83854061681113], ["Indifferent", 11.892763555734732], ["Unfavorable", 1.894779278371296], ["Unsure", 4.192703084055634], ["Very favorable", 22.19310622858295], ["Very unfavorable", 0.5644023382382584]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How important are the benefits of AI considered to be by developers using AI in %?", "labels": [{"query": "SELECT AIBenefits.name, COUNT(AIBenefits.id) * 100.0 / (SELECT COUNT(id) FROM Responses WHERE AISelect = 'Yes') FROM AIBenefits JOIN Response_AIBenefits ON AIBenefits.id = Response_AIBenefits.AIBenefits_id GROUP BY AIBenefits.id", "results": [["Other (please explain)", 5.458224476205112], ["Increase productivity", 83.26673838430408], ["Greater efficiency", 63.3650940013319], ["Speed up learning", 63.87480149582501], ["Improve accuracy in coding", 33.78156856718406], ["Improve collaboration", 9.530761743763128]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How much does which percentage of developers trust AI tools?", "labels": [{"query": "SELECT AIAccuracy, COUNT(AIAccuracy) * 100.0 / (SELECT COUNT(AIAccuracy) FROM Responses) FROM Responses WHERE NOT AIAccuracy IS NULL GROUP BY AIAccuracy", "results": [["Highly distrust", 5.456381523226269], ["Highly trust", 2.851977327513193], ["Neither trust nor distrust", 30.681151866571113], ["Somewhat distrust", 21.711512150628707], ["Somewhat trust", 39.29897713206072]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "For which tasks do developers who are currently using AI tools find those tools most useful?", "labels": [{"query": "SELECT AIToolUsage.name, COUNT(\"Response_AIToolCurrentlyUsing\".Response_id) * 100.0 / (SELECT COUNT(DISTINCT \"Response_AIToolCurrentlyUsing\".Response_id) FROM \"Response_AIToolCurrentlyUsing\") FROM \"Response_AIToolCurrentlyUsing\" JOIN AIToolUsage ON AIToolUsage.id = \"Response_AIToolCurrentlyUsing\".\"AIToolUsage_id\" GROUP BY AIToolUsage.id", "results": [["Learning about a codebase", 31.408251930154687], ["Writing code", 86.14716218833883], ["Debugging and getting help", 51.019730470155245], ["Committing and reviewing code", 10.53214157234967], ["Project planning", 14.104657276475635], ["Testing code", 24.90522179483632], ["Deployment and monitoring", 4.9478373965741484], ["Collaborating with teammates ", 3.8104989346099565], ["Documenting code", 35.871821125162576], ["Other (please describe)", 1.602235935467803]]}, {"query": "SELECT AIToolUsage.Name, COUNT(*) AS Count FROM Response_AIToolCurrentlyUsing JOIN AIToolUsage ON Response_AIToolCurrentlyUsing.AIToolUsage_id = AIToolUsage.id GROUP BY AIToolUsage_id ORDER BY Count DESC", "results": [["Writing code", 31131], ["Debugging and getting help", 18437], ["Documenting code", 12963], ["Learning about a codebase", 11350], ["Testing code", 9000], ["Project planning", 5097], ["Committing and reviewing code", 3806], ["Deployment and monitoring", 1788], ["Collaborating with teammates ", 1377], ["Other (please describe)", 579]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of professional developers considers which aspects of programming to be very different next year due to AI tools?", "labels": [{"query": "SELECT AIToolUsage.name, COUNT(\"Response_AINextVeryDifferent\".Response_id) * 100.0 / n FROM \"Response_AINextVeryDifferent\" JOIN AIToolUsage ON AIToolUsage.id = \"Response_AINextVeryDifferent\".\"AIToolUsage_id\" JOIN (SELECT name AS name2, COUNT(Response_id2) AS n FROM (SELECT Response_id AS Response_id2, name FROM (SELECT \"Response_AINextNeitherDifferentNorSimilar\".Response_id, \"AIToolUsage\".name FROM \"Response_AINextNeitherDifferentNorSimilar\" JOIN \"AIToolUsage\" ON \"AIToolUsage\".id = \"Response_AINextNeitherDifferentNorSimilar\".\"AIToolUsage_id\" UNION SELECT \"Response_AINextSomewhatDifferent\".Response_id, \"AIToolUsage\".name FROM \"Response_AINextSomewhatDifferent\" JOIN \"AIToolUsage\" ON \"AIToolUsage\".id = \"Response_AINextSomewhatDifferent\".\"AIToolUsage_id\" UNION SELECT \"Response_AINextSomewhatSimilar\".Response_id, \"AIToolUsage\".name FROM \"Response_AINextSomewhatSimilar\" JOIN \"AIToolUsage\" ON \"AIToolUsage\".id = \"Response_AINextSomewhatSimilar\".\"AIToolUsage_id\" UNION SELECT \"Response_AINextVeryDifferent\".Response_id, AIToolUsage.name FROM \"Response_AINextVeryDifferent\" JOIN AIToolUsage ON AIToolUsage.id = \"Response_AINextVeryDifferent\".\"AIToolUsage_id\" UNION SELECT \"Response_AINextVerySimilar\".Response_id, \"AIToolUsage\".name FROM \"Response_AINextVerySimilar\" JOIN \"AIToolUsage\" ON \"AIToolUsage\".id = \"Response_AINextVerySimilar\".\"AIToolUsage_id\") GROUP BY Response_id, name) JOIN Responses ON Response_id2 = Responses.id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY name2) ON name2 = AIToolUsage.name GROUP BY AIToolUsage.id", "results": [["Learning about a codebase", 43.288293976512186], ["Writing code", 27.895413630518647], ["Debugging and getting help", 45.69712101115706], ["Committing and reviewing code", 46.203554119547654], ["Project planning", 42.70353302611367], ["Testing code", 43.53830498618985], ["Deployment and monitoring", 43.556280587275694], ["Collaborating with teammates ", 42.1505376344086], ["Documenting code", 48.76222175993343], ["Other (please describe)", 38.797814207650276]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What % of professional developers who responded have which employment status?", "labels": [{"query": "SELECT Employment.name, COUNT(Response_Employment.Response_id) * 100.0 / (SELECT COUNT(DISTINCT Response_Employment.Response_id) FROM Response_Employment JOIN Responses ON Responses.id = Response_Employment.Response_id WHERE Responses.ResponderDescription = 'I am a developer by profession') FROM Response_Employment JOIN Employment ON Employment.id = Response_Employment.Employment_id JOIN Responses ON Responses.id = Response_Employment.Response_id WHERE Responses.ResponderDescription = 'I am a developer by profession' GROUP BY Employment.id", "results": [["Employed, full-time", 79.84852542927715], ["Independent contractor, freelancer, or self-employed", 17.41511174597506], ["Not employed, but looking for work", 2.9669969943159837], ["Student, full-time", 5.554563580632681], ["Employed, part-time", 5.460821950421093], ["Student, part-time", 3.05776269975895], ["I prefer not to say", 0.23361009433681518], ["Retired", 0.2663452667916555], ["Not employed, and not looking for work", 0.49251554920691604]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many German developers have which employment status in percent?", "labels": [{"query": "SELECT Employment.name, COUNT(Response_Employment.Response_id) * 100.0 / (SELECT COUNT(DISTINCT Response_Employment.Response_id) FROM Response_Employment JOIN Responses ON Responses.id = Response_Employment.Response_id WHERE Responses.Country = 'Germany') FROM Response_Employment JOIN Employment ON Employment.id = Response_Employment.Employment_id JOIN Responses ON Responses.id = Response_Employment.Response_id WHERE Responses.Country = 'Germany' GROUP BY Employment.id", "results": [["Employed, full-time", 65.78336292856167], ["Independent contractor, freelancer, or self-employed", 12.730501297636934], ["Not employed, but looking for work", 1.9396257341893184], ["Student, full-time", 17.060510859172243], ["Employed, part-time", 11.869963119792379], ["Student, part-time", 4.903701680098347], ["I prefer not to say", 0.4507580931566726], ["Retired", 0.628329463188089], ["Not employed, and not looking for work", 1.256658926376178]]}, {"query": "SELECT Employment.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE Country = 'Germany') AS Percentage FROM Responses JOIN Response_Employment ON Responses.id = Response_Employment.Response_id JOIN Employment ON Response_Employment.Employment_id = Employment.id WHERE Responses.Country = 'Germany' GROUP BY Employment.Name", "results": [["Employed, full-time", 65.72052401746726], ["Employed, part-time", 11.858624454148472], ["I prefer not to say", 0.45032751091703055], ["Independent contractor, freelancer, or self-employed", 12.718340611353712], ["Not employed, and not looking for work", 1.255458515283843], ["Not employed, but looking for work", 1.9377729257641922], ["Retired", 0.6277292576419214], ["Student, full-time", 17.044213973799128], ["Student, part-time", 4.899017467248909]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many developers work in which work environment (remote, hybrid etc.) in %?", "labels": [{"query": "SELECT RemoteWork, COUNT(RemoteWork) * 100.0 / (SELECT COUNT(RemoteWork) FROM Responses) FROM Responses WHERE NOT RemoteWork IS NULL GROUP BY RemoteWork", "results": [["Hybrid (some remote, some in-person)", 42.17721175992413], ["In-person", 16.411055412545725], ["Remote", 41.411732827530145]]}, {"query": "SELECT RemoteWork, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Responses WHERE NOT RemoteWork IS NULL GROUP BY RemoteWork", "results": [["Hybrid (some remote, some in-person)", 34.90648546824543], ["In-person", 13.582032651596698], ["Remote", 34.272963760315754]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How common are the various company size groups in %?", "labels": [{"query": "SELECT OrgSize, COUNT(OrgSize) * 100.0 / (SELECT COUNT(OrgSize) FROM Responses) AS a FROM Responses WHERE NOT OrgSize IS NULL GROUP BY OrgSize", "results": [["1,000 to 4,999 employees", 11.123410666789662], ["10 to 19 employees", 8.077733191888443], ["10,000 or more employees", 12.19039712190397], ["100 to 499 employees", 18.784496410067188], ["2 to 9 employees", 9.899604876773827], ["20 to 99 employees", 20.571006872376735], ["5,000 to 9,999 employees", 4.115738818935166], ["500 to 999 employees", 6.875451624310072], ["I don\u2019t know", 1.911043463554879], ["Just me - I am a freelancer, sole proprietor, etc.", 6.451116953400058]]}, {"query": "SELECT OrgSize, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Responses WHERE NOT OrgSize IS NULL GROUP BY OrgSize", "results": [["1,000 to 4,999 employees", 8.112441693577324], ["10 to 19 employees", 5.89119124506638], ["10,000 or more employees", 8.890608180839612], ["100 to 499 employees", 13.699766774309293], ["2 to 9 employees", 7.219904915679942], ["20 to 99 employees", 15.002691065662003], ["5,000 to 9,999 employees", 3.001659490491568], ["500 to 999 employees", 5.014352350197345], ["I don\u2019t know", 1.3937477574452817], ["Just me - I am a freelancer, sole proprietor, etc.", 4.704879799067097]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the average salaries by developer type in Germany in dollar?", "labels": [{"query": "SELECT DevType, AVG(ConvertedCompYearly) FROM Responses WHERE Country = 'Germany' AND NOT DevType IS NULL GROUP BY DevType", "results": [["Academic researcher", 61578.69285714286], ["Blockchain", 241888.5], ["Cloud infrastructure engineer", 92632.0], ["Data or business analyst", 67134.44], ["Data scientist or machine learning specialist", 91226.02898550725], ["Database administrator", 88122.77777777778], ["Designer", 52367.0], ["DevOps specialist", 76547.34736842105], ["Developer Advocate", 136116.26315789475], ["Developer Experience", 97169.73684210527], ["Developer, QA or test", 83554.27272727272], ["Developer, back-end", 86222.73043478261], ["Developer, desktop or enterprise applications", 79970.64642857143], ["Developer, embedded applications or devices", 81634.6225165563], ["Developer, front-end", 71501.01777777777], ["Developer, full-stack", 77057.22214285714], ["Developer, game or graphics", 73541.56756756757], ["Developer, mobile", 91694.56302521008], ["Educator", 79127.33333333333], ["Engineer, data", 95158.26829268293], ["Engineer, site reliability", 94403.53846153847], ["Engineering manager", 112352.88888888889], ["Hardware Engineer", 71134.375], ["Marketing or sales professional", 185622.0], ["Other (please specify):", 91543.74561403508], ["Product manager", 91841.04545454546], ["Project manager", 87775.96875], ["Research & Development role", 93563.97183098592], ["Scientist", 92406.64705882352], ["Security professional", 73288.57142857143], ["Senior Executive (C-Suite, VP, etc.)", 117090.32258064517], ["Student", 28343.0], ["System administrator", 61488.91176470588]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the average salaries in dollar and the average years of work experience for the developer types?", "labels": [{"query": "SELECT DevType, AVG(ConvertedCompYearly), AVG(WorkExp) FROM Responses WHERE NOT DevType IS NULL GROUP BY DevType", "results": [["Academic researcher", 68094.43577235773, 10.636200716845877], ["Blockchain", 170566.6054054054, 9.1437125748503], ["Cloud infrastructure engineer", 128800.25065274151, 12.50788643533123], ["Data or business analyst", 72026.94888888889, 12.181592039800995], ["Data scientist or machine learning specialist", 115506.12096774194, 8.734873487348734], ["Database administrator", 94903.54477611941, 17.047619047619047], ["Designer", 83706.78899082569, 14.887755102040817], ["DevOps specialist", 98357.77189409369, 11.961098398169336], ["Developer Advocate", 125761.5948275862, 16.949152542372882], ["Developer Experience", 301328.4474885845, 12.843434343434344], ["Developer, QA or test", 79615.15555555555, 9.955882352941176], ["Developer, back-end", 96317.08423145338, 10.705601636177708], ["Developer, desktop or enterprise applications", 118488.33100616017, 15.048220973782772], ["Developer, embedded applications or devices", 97276.72217837411, 12.108325872873769], ["Developer, front-end", 78004.4432895139, 8.004481213374698], ["Developer, full-stack", 92933.59109026963, 10.82076408660531], ["Developer, game or graphics", 95022.31364562118, 10.567632850241546], ["Developer, mobile", 86396.47387606319, 9.462546816479401], ["Educator", 74649.91666666667, 17.09090909090909], ["Engineer, data", 101084.6825221239, 10.157961783439491], ["Engineer, site reliability", 146705.4827586207, 12.106227106227106], ["Engineering manager", 153061.81922196798, 15.699021820917983], ["Hardware Engineer", 117205.6809815951, 10.695652173913043], ["Marketing or sales professional", 128233.05, 12.862745098039216], ["Other (please specify):", 115617.36972538513, 14.472319551506658], ["Product manager", 127523.23981900452, 16.834123222748815], ["Project manager", 84371.71764705882, 14.788590604026846], ["Research & Development role", 113854.04474002418, 14.018181818181818], ["Scientist", 105434.30102040817, 13.251612903225807], ["Security professional", 126063.55696202532, 12.860262008733624], ["Senior Executive (C-Suite, VP, etc.)", 169683.8775773196, 18.48143405889885], ["Student", 42799.565217391304, 3.7586206896551726], ["System administrator", 62346.19207317073, 12.893103448275863]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the average salaries in dollar and the average years of work experience by programming language?", "labels": [{"query": "SELECT Languages.name, AVG(Responses.ConvertedCompYearly), AVG(Responses.WorkExp) FROM Responses JOIN Response_LanguageHaveWorkedWith ON Response_LanguageHaveWorkedWith.Response_id = Responses.id JOIN Languages ON Languages.id = Response_LanguageHaveWorkedWith.Languages_id GROUP BY Languages.name", "results": [["APL", 2462996.8870967743, 19.216666666666665], ["Ada", 1095432.2568093385, 16.593984962406015], ["Apex", 356613.81469648564, 14.759868421052632], ["Assembly", 208343.7208706786, 13.62547288776797], ["Bash/Shell (all shells)", 118733.66764079148, 12.167851212221853], ["C", 122876.24079232436, 12.107976208631996], ["C#", 102242.86673016338, 12.50921458514593], ["C++", 122076.8720009743, 11.788420657746656], ["Clojure", 226901.47619047618, 14.050986842105264], ["Cobol", 755668.8340080972, 21.289256198347108], ["Crystal", 515074.875, 16.654054054054054], ["Dart", 106978.4350305499, 9.08420208500401], ["Delphi", 215868.22304283603, 23.1793893129771], ["Elixir", 174773.4704968944, 12.75045871559633], ["Erlang", 278031.41570881224, 14.452282157676349], ["F#", 277939.78303747537, 15.183222958057396], ["Flow", 790372.4424778761, 13.358333333333333], ["Fortran", 496051.06282722513, 18.82758620689655], ["GDScript", 224510.3526119403, 10.375241779497099], ["Go", 131129.61292654712, 11.445189458911585], ["Groovy", 145347.57000498255, 13.498650836481382], ["HTML/CSS", 97730.18722627737, 10.885418957554432], ["Haskell", 236434.55469953775, 10.15919629057187], ["Java", 107365.55541148654, 11.057737079000466], ["JavaScript", 100059.00022744256, 11.069090008140728], ["Julia", 280932.77805486287, 10.642045454545455], ["Kotlin", 119503.31861848125, 10.769026334863494], ["Lisp", 389494.98204667866, 15.212389380530974], ["Lua", 136249.0198789974, 10.907042253521126], ["MATLAB", 146885.51410153104, 9.629179331306991], ["Nim", 715922.1937984496, 14.428571428571429], ["OCaml", 448438.5447154472, 12.829383886255924], ["Objective-C", 246212.47630922694, 14.125688073394496], ["PHP", 83080.61823094092, 11.67950342031923], ["Perl", 182612.98910310143, 18.1588785046729], ["PowerShell", 108575.00601805416, 12.686499215070643], ["Prolog", 702881.0, 13.162162162162161], ["Python", 109210.72897023479, 10.711200676717919], ["R", 151815.93188667874, 11.41566645609602], ["Raku", 1372007.0158730159, 20.18032786885246], ["Ruby", 142087.52664223287, 12.677565555195857], ["Rust", 131945.27951228523, 10.188727922206787], ["SAS", 834179.3024390244, 16.07035175879397], ["SQL", 100316.89280540802, 12.061623551955405], ["Scala", 173254.1076433121, 12.038352272727273], ["Solidity", 231794.76978417265, 9.707317073170731], ["Swift", 215075.64759825327, 12.358436606291706], ["TypeScript", 100365.1830972202, 10.315341664450944], ["VBA", 171315.18019680196, 15.46004169562196], ["Visual Basic (.Net)", 161144.72521551725, 14.329732802728824], ["Zig", 428891.5238095238, 11.817490494296578]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many developers have which level of influence on purchasing decisions?", "labels": [{"query": "SELECT PurchaseInfluence, COUNT(PurchaseInfluence) FROM Responses WHERE NOT PurchaseInfluence IS NULL GROUP BY PurchaseInfluence", "results": [["I have a great deal of influence", 15425], ["I have little or no influence", 22734], ["I have some influence", 26805]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How common are approaches to making purchasing decisions (e.g. using a list) in %?", "labels": [{"query": "SELECT TechList, COUNT(TechList) * 100.0 / (SELECT COUNT(TechList) FROM Responses) FROM Responses WHERE NOT TechList IS NULL GROUP BY TechList", "results": [["Given a list", 13.040048643407667], ["Investigate", 80.87295196463492], ["Other", 6.086999391957404]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of respondents use which approach to research new tools and technologies?", "labels": [{"query": "SELECT BuyNewTool.name, COUNT(BuyNewTool.id) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_BuyNewTool) FROM Response_BuyNewTool JOIN BuyNewTool ON BuyNewTool.id = Response_BuyNewTool.BuyNewTool_id GROUP BY BuyNewTool.id", "results": [["Start a free trial", 73.7389921574769], ["Ask developers I know/work with", 71.02241925574336], ["Visit developer communities like Stack Overflow", 64.11473454685637], ["Other (please specify):", 7.067908299100098], ["Research companies that have advertised on sites I visit", 14.863448541724392], ["Read ratings or reviews on third party sites like G2 Crowd", 33.64454456745654], ["Ask a generative AI tool", 15.389897480996037], ["Research companies that have emailed me", 5.460853642376128]]}, {"query": "SELECT BuyNewTool.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Response_BuyNewTool) AS Percentage FROM Response_BuyNewTool JOIN BuyNewTool ON Response_BuyNewTool.BuyNewTool_id = BuyNewTool.id GROUP BY BuyNewTool_id", "results": [["Start a free trial", 25.845870614414743], ["Ask developers I know/work with", 24.893698775899708], ["Visit developer communities like Stack Overflow", 22.47252213641181], ["Other (please specify):", 2.4773357767484283], ["Research companies that have advertised on sites I visit", 5.209710041507091], ["Read ratings or reviews on third party sites like G2 Crowd", 11.79257432640704], ["Ask a generative AI tool", 5.394232921077411], ["Research companies that have emailed me", 1.9140554075337695]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How often are the reasons to code outside work mentioned?", "labels": [{"query": "SELECT CodingActivities.name, COUNT(*) FROM CodingActivities JOIN Response_CodingActivities ON Response_CodingActivities.CodingActivities_id = CodingActivities.id GROUP BY CodingActivities.id", "results": [["Hobby", 51942], ["Contribute to open-source projects", 18231], ["Bootstrapping a business", 10293], ["Professional development or self-paced learning from online courses", 26957], ["I don\u2019t code outside of work", 8809], ["Freelance/contract work", 14258], ["School or academic work", 8636], ["Other (please specify):", 1182]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Which percentage of respondents have visited which Stack Overflow site?", "labels": [{"query": "SELECT NEWSOSites.name, COUNT(*) * 100.0 / (SELECT COUNT(DISTINCT Response_id) FROM Response_NEWSOSites) FROM NEWSOSites JOIN Response_NEWSOSites ON Response_NEWSOSites.NEWSOSites_id = NEWSOSites.id GROUP BY NEWSOSites.id", "results": [["Stack Overflow", 98.02894069771408], ["Stack Exchange", 67.09899628295045], ["Stack Overflow for Teams (private knowledge sharing & collaboration platform for companies)", 4.9981244245393475], ["Collectives on Stack Overflow", 8.060427631205028], ["I have never visited Stack Overflow or the Stack Exchange network", 0.6945312766416969]]}, {"query": "SELECT NEWSOSites.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Response_NEWSOSites JOIN NEWSOSites ON Response_NEWSOSites.NEWSOSites_id = NEWSOSites.id GROUP BY NEWSOSites.Name", "results": [["Collectives on Stack Overflow", 7.950977753857194], ["I have never visited Stack Overflow or the Stack Exchange network", 0.6851004664513815], ["Stack Exchange", 66.18788123430211], ["Stack Overflow", 96.69783817725153], ["Stack Overflow for Teams (private knowledge sharing & collaboration platform for companies)", 4.930256548259777]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How common are the categories of the frequency of visiting stack overflow in %?", "labels": [{"query": "SELECT SOVisitFreq, COUNT(SOVisitFreq) * 100.0 / (SELECT COUNT(SOVisitFreq) FROM Responses) FROM Responses WHERE NOT SOVisitFreq IS NULL GROUP BY SOVisitFreq", "results": [["A few times per month or weekly", 23.30961670874455], ["A few times per week", 32.22974523754877], ["Daily or almost daily", 25.38902914849667], ["Less than once per month or monthly", 5.355749368831765], ["Multiple times per day", 13.715859536378241]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many users (don't) have a Stack Overflow account/don't know in %?", "labels": [{"query": "SELECT SOAccount, COUNT(SOAccount) * 100.0 / (SELECT COUNT(SOAccount) FROM Responses) FROM Responses WHERE NOT SOAccount IS NULL GROUP BY SOAccount", "results": [["No", 16.63934799435414], ["Not sure/can't remember", 7.913308746528252], ["Yes", 75.4473432591176]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How common are the participation frequency categories?", "labels": [{"query": "SELECT SOPartFreq, COUNT(SOPartFreq) FROM Responses WHERE NOT SOPartFreq IS NULL GROUP BY SOPartFreq", "results": [["A few times per month or weekly", 9160], ["A few times per week", 3285], ["Daily or almost daily", 1309], ["I have never participated in Q&A on Stack Overflow", 16961], ["Less than once per month or monthly", 34661], ["Multiple times per day", 685]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents consider themselves to be \"definitely\" or \"somewhat\" a part of the Stack Overflow community by age in %?", "labels": [{"query": "SELECT Age, COUNT(SOComm) * 100.0 / count2 FROM Responses JOIN (SELECT Age AS age2, COUNT(Age) AS count2 FROM Responses GROUP BY Age) ON age2 = Responses.Age WHERE SOComm = 'Yes, definitely' OR SOComm = 'Yes, somewhat' GROUP BY Age", "results": [["18-24 years old", 26.30639674307066], ["25-34 years old", 30.43582879658315], ["35-44 years old", 32.7829729203195], ["45-54 years old", 35.02519798416127], ["55-64 years old", 34.5813679245283], ["65 years or older", 29.803586678052945], ["Prefer not to say", 20.71269487750557], ["Under 18 years old", 22.311046511627907]]}, {"query": "SELECT Age, COUNT(*) AS Total, SUM(CASE WHEN SOComm IN ('Yes, definitely', 'Yes, somewhat') THEN 1 ELSE 0 END) AS PartOfSOCommunity, ROUND((SUM(CASE WHEN SOComm IN ('Yes, definitely', 'Yes, somewhat') THEN 1 ELSE 0 END) * 100.0) / COUNT(*), 2) AS Percentage FROM Responses WHERE NOT Age IS NULL GROUP BY Age ORDER BY Age", "results": [["18-24 years old", 17931, 4717, 26.31], ["25-34 years old", 33247, 10119, 30.44], ["35-44 years old", 20532, 6731, 32.78], ["45-54 years old", 8334, 2919, 35.03], ["55-64 years old", 3392, 1173, 34.58], ["65 years or older", 1171, 349, 29.8], ["Prefer not to say", 449, 93, 20.71], ["Under 18 years old", 4128, 921, 22.31]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of respondents are Individual Contributors or People Manager?", "labels": [{"query": "SELECT IndividualContributorOrPeopleManager, COUNT(IndividualContributorOrPeopleManager) * 100.0 / (SELECT COUNT(IndividualContributorOrPeopleManager) FROM Responses) FROM Responses WHERE NOT IndividualContributorOrPeopleManager IS NULL GROUP BY IndividualContributorOrPeopleManager", "results": [["Individual contributor", 86.29889163689658], ["People manager", 13.701108363103417]]}, {"query": "SELECT ROUND((COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses)), 2) AS Percentage FROM Responses WHERE NOT IndividualContributorOrPeopleManager IS NULL", "results": [[48.96]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of years of experience among all respondents grouped into buckets of 5 years?", "labels": [{"query": "SELECT CEIL(WorkExp / 5) * 5 AS bucket_start, CEIL(WorkExp / 5) * 5 + 4 AS bucket_end, COUNT(WorkExp) * 100.0 / (SELECT COUNT(WorkExp) FROM Responses) AS count_in_bucket FROM Responses WHERE NOT WorkExp IS NULL GROUP BY CEIL(WorkExp / 5)", "results": [[0, 4, 24.41084008352647], [5, 9, 26.86385644461782], [10, 14, 18.554808508685376], [15, 19, 11.209527524725212], [20, 24, 8.393951215034765], [25, 29, 5.105670162234103], [30, 34, 2.732967713807109], [35, 39, 1.4731866265861997], [40, 44, 0.8214965923954198], [45, 49, 0.2570045205259414], [50, 54, 0.17669060786158472]]}, {"query": "SELECT CASE WHEN WorkExp BETWEEN 0 AND 5 THEN '0-5' WHEN WorkExp BETWEEN 6 AND 10 THEN '6-10' WHEN WorkExp BETWEEN 11 AND 15 THEN '11-15' WHEN WorkExp BETWEEN 16 AND 20 THEN '16-20' WHEN WorkExp BETWEEN 21 AND 25 THEN '21-25' WHEN WorkExp BETWEEN 26 AND 30 THEN '26-30' WHEN WorkExp BETWEEN 31 AND 35 THEN '31-35' WHEN WorkExp BETWEEN 36 AND 40 THEN '36-40' WHEN WorkExp BETWEEN 41 AND 45 THEN '41-45' WHEN WorkExp BETWEEN 46 AND 50 THEN '46-50' ELSE '50+' END AS \"Experience_Bucket\", COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE NOT WorkExp IS NULL) AS \"Percentage\" FROM Responses WHERE NOT WorkExp IS NULL GROUP BY Experience_Bucket ORDER BY MIN(WorkExp)", "results": [["0-5", 31.981000022946834], ["6-10", 26.221345143302965], ["11-15", 16.218820991762087], ["16-20", 10.307717019665436], ["21-25", 7.462309828128227], ["26-30", 3.7793432616627274], ["31-35", 1.9711328851052112], ["36-40", 1.2092980564033136], ["41-45", 0.536955873241699], ["46-50", 0.31207691778150026]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of years of experience among Individual Contributors grouped into buckets of 5 years?", "labels": [{"query": "SELECT CEIL(WorkExp / 5) * 5 AS bucket_start, CEIL(WorkExp / 5) * 5 + 4 AS bucket_end, COUNT(WorkExp) * 100.0 / (SELECT COUNT(WorkExp) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS count_in_bucket FROM Responses WHERE NOT WorkExp IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY CEIL(WorkExp / 5)", "results": [[0, 4, 26.686248331108143], [5, 9, 27.740987983978638], [10, 14, 17.858477970627504], [15, 19, 10.259012016021362], [20, 24, 7.762349799732977], [25, 29, 4.571428571428571], [30, 34, 2.502002670226969], [35, 39, 1.3991989319092122], [40, 44, 0.8197596795727636], [45, 49, 0.24566088117489987], [50, 54, 0.1548731642189586]]}, {"query": "SELECT CASE WHEN WorkExp BETWEEN 0 AND 5 THEN '0-5' WHEN WorkExp BETWEEN 6 AND 10 THEN '6-10' WHEN WorkExp BETWEEN 11 AND 15 THEN '11-15' WHEN WorkExp BETWEEN 16 AND 20 THEN '16-20' WHEN WorkExp BETWEEN 21 AND 25 THEN '21-25' WHEN WorkExp BETWEEN 26 AND 30 THEN '26-30' WHEN WorkExp BETWEEN 31 AND 35 THEN '31-35' WHEN WorkExp BETWEEN 36 AND 40 THEN '36-40' WHEN WorkExp > 40 THEN '40+' END AS \"Experience_Bucket\", COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor' AND NOT WorkExp IS NULL) AS \"Percentage\" FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor' AND NOT WorkExp IS NULL GROUP BY Experience_Bucket ORDER BY MIN(WorkExp)", "results": [["0-5", 34.712950600801065], ["6-10", 26.518024032042725], ["11-15", 15.2630173564753], ["16-20", 9.447263017356475], ["21-25", 6.835781041388518], ["26-30", 3.399198931909212], ["31-35", 1.8317757009345794], ["36-40", 1.1775700934579438], ["40+", 0.8144192256341789]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of years of experience among People managers grouped into buckets of 5 years?", "labels": [{"query": "SELECT CEIL(WorkExp / 5) * 5 AS bucket_start, CEIL(WorkExp / 5) * 5 + 4 AS bucket_end, COUNT(WorkExp) * 100.0 / (SELECT COUNT(WorkExp) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') AS count_in_bucket FROM Responses WHERE NOT WorkExp IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY CEIL(WorkExp / 5)", "results": [[0, 4, 9.87757840013416], [5, 9, 21.432165017608586], [10, 14, 23.17625356364246], [15, 19, 17.20610430991112], [20, 24, 12.27570015093074], [25, 29, 8.502431661915143], [30, 34, 4.142210296830455], [35, 39, 1.9285594499413048], [40, 44, 0.8385041086701325], [45, 49, 0.31863156129465037], [50, 54, 0.30186147912124767]]}, {"query": "SELECT CASE WHEN WorkExp BETWEEN 0 AND 5 THEN '0-5' WHEN WorkExp BETWEEN 6 AND 10 THEN '6-10' WHEN WorkExp BETWEEN 11 AND 15 THEN '11-15' WHEN WorkExp BETWEEN 16 AND 20 THEN '16-20' WHEN WorkExp > 20 THEN '20+' END AS \"Experience_Bucket\", COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager' AND NOT WorkExp IS NULL) AS \"Percentage\" FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager' AND NOT WorkExp IS NULL GROUP BY Experience_Bucket", "results": [["0-5", 14.573201408686902], ["11-15", 22.455140030186147], ["16-20", 15.663256749958075], ["20+", 22.7905416736542], ["6-10", 24.517860137514674]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of industry the respondents are in?", "labels": [{"query": "SELECT Industry, COUNT(Industry) * 100.0 / (SELECT COUNT(Industry) FROM Responses) FROM Responses WHERE NOT Industry IS NULL GROUP BY Industry", "results": [["Advertising Services", 2.137379670419318], ["Financial Services", 12.022080817969217], ["Healthcare", 6.025996628052428], ["Higher Education", 3.3773861967694567], ["Information Services, IT, Software Development, or other Technology", 49.37999673682493], ["Insurance", 1.922553978354272], ["Legal Services", 0.5710556371349322], ["Manufacturing, Transportation, or Supply Chain", 7.089247838146517], ["Oil & Gas", 0.7505302659487681], ["Other", 10.907162669277207], ["Retail and Consumer Services", 5.316256050470441], ["Wholesale", 0.5003535106325121]]}, {"query": "SELECT Industry, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Responses WHERE NOT Industry IS NULL GROUP BY Industry", "results": [["Advertising Services", 0.881324004305705], ["Financial Services", 4.9571672048797994], ["Healthcare", 2.484750627915321], ["Higher Education", 1.3926264800861141], ["Information Services, IT, Software Development, or other Technology", 20.36127556512379], ["Insurance", 0.7927430929314675], ["Legal Services", 0.23546824542518838], ["Manufacturing, Transportation, or Supply Chain", 2.9231700753498386], ["Oil & Gas", 0.3094725511302476], ["Other", 4.497443487621098], ["Retail and Consumer Services", 2.192097237172587], ["Wholesale", 0.20631503408683172]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of industry the Individual Contributors are in?", "labels": [{"query": "SELECT Industry, COUNT(Industry) * 100.0 / (SELECT COUNT(Industry) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') FROM Responses WHERE NOT Industry IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY Industry", "results": [["Advertising Services", 2.19435736677116], ["Financial Services", 11.886894018555461], ["Healthcare", 6.0922706690731765], ["Higher Education", 3.4324435578354073], ["Information Services, IT, Software Development, or other Technology", 48.87432316899402], ["Insurance", 1.944206959880941], ["Legal Services", 0.547797726481112], ["Manufacturing, Transportation, or Supply Chain", 7.289192869130173], ["Oil & Gas", 0.7567841423640796], ["Other", 11.085779424337417], ["Retail and Consumer Services", 5.414648047876888], ["Wholesale", 0.4813020487001678]]}, {"query": "SELECT Industry, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS Percentage FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor' AND NOT Industry IS NULL GROUP BY Industry", "results": [["Advertising Services", 1.8389279554199283], ["Financial Services", 9.961523152447924], ["Healthcare", 5.105479633806555], ["Higher Education", 2.8764760514793686], ["Information Services, IT, Software Development, or other Technology", 40.95794082526204], ["Insurance", 1.629295475653443], ["Legal Services", 0.4590685949316704], ["Manufacturing, Transportation, or Supply Chain", 6.108531245853788], ["Oil & Gas", 0.6342045906859494], ["Other", 9.29016850205652], ["Retail and Consumer Services", 4.537614435451771], ["Wholesale", 0.4033435053734908]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of industry the People managers are in?", "labels": [{"query": "SELECT Industry, COUNT(Industry) * 100.0 / (SELECT COUNT(Industry) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') FROM Responses WHERE NOT Industry IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY Industry", "results": [["Advertising Services", 1.7730496453900708], ["Financial Services", 12.8053585500394], ["Healthcare", 5.673758865248227], ["Higher Education", 3.0732860520094563], ["Information Services, IT, Software Development, or other Technology", 52.62017336485422], ["Insurance", 1.7336485421591805], ["Legal Services", 0.6895193065405831], ["Manufacturing, Transportation, or Supply Chain", 5.91016548463357], ["Oil & Gas", 0.7092198581560284], ["Other", 9.692671394799055], ["Retail and Consumer Services", 4.70843183609141], ["Wholesale", 0.6107171000788022]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of respondents in terms of agreement with \"I have interactions with people outside of my immediate team\"?", "labels": [{"query": "SELECT InteractionOutsideTeam, COUNT(InteractionOutsideTeam) * 100.0 / (SELECT COUNT(InteractionOutsideTeam) FROM Responses) AS percentage FROM Responses WHERE NOT InteractionOutsideTeam IS NULL GROUP BY InteractionOutsideTeam", "results": [["Agree", 46.57811214294111], ["Disagree", 6.119666157282238], ["Neither agree nor disagree", 8.447161161396497], ["Strongly agree", 36.44528035735277], ["Strongly disagree", 2.409780181027389]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of Individual Contributors in terms of agreement with \"I have interactions with people outside of my immediate team\"?", "labels": [{"query": "SELECT InteractionOutsideTeam, COUNT(InteractionOutsideTeam) * 100.0 / (SELECT COUNT(InteractionOutsideTeam) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS percentage FROM Responses WHERE NOT InteractionOutsideTeam IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY InteractionOutsideTeam", "results": [["Agree", 48.27256327556989], ["Disagree", 6.835948176898267], ["Neither agree nor disagree", 9.170174383644017], ["Strongly agree", 33.21762422784672], ["Strongly disagree", 2.5036899360411087]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of People managers in terms of agreement with \"I have interactions with people outside of my immediate team\"?", "labels": [{"query": "SELECT InteractionOutsideTeam, COUNT(InteractionOutsideTeam) * 100.0 / (SELECT COUNT(InteractionOutsideTeam) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') AS percentage FROM Responses WHERE NOT InteractionOutsideTeam IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY InteractionOutsideTeam", "results": [["Agree", 35.79759862778731], ["Disagree", 1.5608919382504287], ["Neither agree nor disagree", 3.825042881646655], ["Strongly agree", 57.01543739279588], ["Strongly disagree", 1.8010291595197256]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of respondents in terms of agreement with them being able to quickly find answers with existing tools and resources?", "labels": [{"query": "SELECT QuicklyFindAnswers, COUNT(QuicklyFindAnswers) * 100.0 / (SELECT COUNT(QuicklyFindAnswers) FROM Responses) AS percentage FROM Responses WHERE NOT QuicklyFindAnswers IS NULL GROUP BY QuicklyFindAnswers", "results": [["Agree", 45.52826024373861], ["Disagree", 14.463583149409846], ["Neither agree nor disagree", 25.70530659245754], ["Strongly agree", 11.40965358410901], ["Strongly disagree", 2.8931964302850015]]}, {"query": "SELECT QuicklyFindAnswers, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Responses WHERE NOT QuicklyFindAnswers IS NULL GROUP BY QuicklyFindAnswers", "results": [["Agree", 21.279601722282024], ["Disagree", 6.760181198421241], ["Neither agree nor disagree", 12.014486903480446], ["Strongly agree", 5.332795120200933], ["Strongly disagree", 1.3522604951560817]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of Individual contributors in terms of agreement with them being able to quickly find answers with existing tools and resources?", "labels": [{"query": "SELECT QuicklyFindAnswers, COUNT(QuicklyFindAnswers) * 100.0 / (SELECT COUNT(QuicklyFindAnswers) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS percentage FROM Responses WHERE NOT QuicklyFindAnswers IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY QuicklyFindAnswers", "results": [["Agree", 45.273964959267936], ["Disagree", 14.663542015400067], ["Neither agree nor disagree", 25.965294052003124], ["Strongly agree", 11.098091730833612], ["Strongly disagree", 2.999107242495257]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the percentage distribution of People managers in terms of agreement with them being able to quickly find answers with existing tools and resources?", "labels": [{"query": "SELECT QuicklyFindAnswers, COUNT(QuicklyFindAnswers) * 100.0 / (SELECT COUNT(QuicklyFindAnswers) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') AS percentage FROM Responses WHERE NOT QuicklyFindAnswers IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY QuicklyFindAnswers", "results": [["Agree", 47.04446381865737], ["Disagree", 13.286835222319093], ["Neither agree nor disagree", 24.027898866608545], ["Strongly agree", 13.374019180470793], ["Strongly disagree", 2.2667829119442024]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How often do respondents encounter knowledge silos as producitivity friction in percentage terms?", "labels": [{"query": "SELECT KnowledgeSilosFreq, COUNT(KnowledgeSilosFreq) * 100.0 / (SELECT COUNT(KnowledgeSilosFreq) FROM Responses) AS percentage FROM Responses WHERE NOT KnowledgeSilosFreq IS NULL GROUP BY KnowledgeSilosFreq", "results": [["1-2 times a week", 52.29697471622741], ["10+ times a week", 2.6111950114483364], ["3-5 times a week", 12.483558240366348], ["6-10 times a week", 3.1178447897890584], ["Never", 29.490427242168852]]}, {"query": "SELECT KnowledgeSilosFreq, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM Responses WHERE NOT KnowledgeSilosFreq IS NULL GROUP BY KnowledgeSilosFreq", "results": [["1-2 times a week", 24.073824901327594], ["10+ times a week", 1.2020093290276284], ["3-5 times a week", 5.746546465733764], ["6-10 times a week", 1.4352350197344814], ["Never", 13.575304987441694]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How often do Individual Contributors encounter knowledge silos as producitivity friction in percentage terms?", "labels": [{"query": "SELECT KnowledgeSilosFreq, COUNT(KnowledgeSilosFreq) * 100.0 / (SELECT COUNT(KnowledgeSilosFreq) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS percentage FROM Responses WHERE NOT KnowledgeSilosFreq IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY KnowledgeSilosFreq", "results": [["1-2 times a week", 51.94797835264784], ["10+ times a week", 2.5727481370243392], ["3-5 times a week", 12.268721842858357], ["6-10 times a week", 3.043096364718216], ["Never", 30.167455302751254]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How often do People managers encounter knowledge silos as producitivity friction in percentage terms?", "labels": [{"query": "SELECT KnowledgeSilosFreq, COUNT(KnowledgeSilosFreq) * 100.0 / (SELECT COUNT(KnowledgeSilosFreq) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') AS percentage FROM Responses WHERE NOT KnowledgeSilosFreq IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY KnowledgeSilosFreq", "results": [["1-2 times a week", 54.6031746031746], ["10+ times a week", 2.892416225749559], ["3-5 times a week", 13.791887125220459], ["6-10 times a week", 3.580246913580247], ["Never", 25.132275132275133]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What's the percentage distribution of responses on how much time the respondents spend searching for answers/solutions?", "labels": [{"query": "SELECT TimeSearching, COUNT(TimeSearching) * 100.0 / (SELECT COUNT(TimeSearching) FROM Responses) AS percentage FROM Responses WHERE NOT TimeSearching IS NULL GROUP BY TimeSearching", "results": [["15-30 minutes a day", 27.521155734255927], ["30-60 minutes a day", 38.192528869979895], ["60-120 minutes a day", 17.82692037963439], ["Less than 15 minutes a day", 9.254757118144841], ["Over 120 minutes a day", 7.204637897984946]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What's the percentage distribution of responses on how much time the Individual Contributors spend searching for answers/solutions?", "labels": [{"query": "SELECT TimeSearching, COUNT(TimeSearching) * 100.0 / (SELECT COUNT(TimeSearching) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS percentage FROM Responses WHERE NOT TimeSearching IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY TimeSearching", "results": [["15-30 minutes a day", 26.958625564073287], ["30-60 minutes a day", 38.23737291360844], ["60-120 minutes a day", 18.37111944761594], ["Less than 15 minutes a day", 9.038764747458272], ["Over 120 minutes a day", 7.39411732724406]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What's the percentage distribution of responses on how much time the People managers spend searching for answers/solutions?", "labels": [{"query": "SELECT TimeSearching, COUNT(TimeSearching) * 100.0 / (SELECT COUNT(TimeSearching) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') AS percentage FROM Responses WHERE NOT TimeSearching IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY TimeSearching", "results": [["15-30 minutes a day", 30.988560696602356], ["30-60 minutes a day", 38.00580501963463], ["60-120 minutes a day", 14.495475499402424], ["Less than 15 minutes a day", 10.602697626771384], ["Over 120 minutes a day", 5.90746115758921]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What's the percentage distribution of responses on how much time the respondents spend answering questions?", "labels": [{"query": "SELECT TimeAnswering, COUNT(TimeAnswering) * 100.0 / (SELECT COUNT(TimeAnswering) FROM Responses) AS percentage FROM Responses WHERE NOT TimeAnswering IS NULL GROUP BY TimeAnswering", "results": [["15-30 minutes a day", 32.086138544183534], ["30-60 minutes a day", 30.526167632362945], ["60-120 minutes a day", 13.310187900255695], ["Less than 15 minutes a day", 19.519575875577658], ["Over 120 minutes a day", 4.5579300476201645]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What's the percentage distribution of responses on how much time the Individual Contributors spend answering questions?", "labels": [{"query": "SELECT TimeAnswering, COUNT(TimeAnswering) * 100.0 / (SELECT COUNT(TimeAnswering) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS percentage FROM Responses WHERE NOT TimeAnswering IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY TimeAnswering", "results": [["15-30 minutes a day", 33.808731695345095], ["30-60 minutes a day", 29.723759919282266], ["60-120 minutes a day", 11.518638706334706], ["Less than 15 minutes a day", 21.37383763737013], ["Over 120 minutes a day", 3.5750320416678028]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What's the percentage distribution of responses on how much time the People managers spend answering questions?", "labels": [{"query": "SELECT TimeAnswering, COUNT(TimeAnswering) * 100.0 / (SELECT COUNT(TimeAnswering) FROM Responses WHERE IndividualContributorOrPeopleManager = 'People manager') AS percentage FROM Responses WHERE NOT TimeAnswering IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY TimeAnswering", "results": [["15-30 minutes a day", 21.30360205831904], ["30-60 minutes a day", 35.54030874785592], ["60-120 minutes a day", 24.614065180102916], ["Less than 15 minutes a day", 7.753001715265866], ["Over 120 minutes a day", 10.789022298456262]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What processes, tools, and programs do respondents (in percentage) report having inside their organization?", "labels": [{"query": "SELECT ProfessionalTech.name AS tech, COUNT(ProfessionalTech.id) * 100.0 / (SELECT COUNT(DISTINCT Response_ProfessionalTech.Response_id) FROM Response_ProfessionalTech) AS num_responses FROM ProfessionalTech JOIN Response_ProfessionalTech ON ProfessionalTech.id = Response_ProfessionalTech.ProfessionalTech_id GROUP BY ProfessionalTech.name", "results": [["AI-assisted technology tool(s)", 15.659478735370845], ["Automated testing", 60.78548692051791], ["Continuous integration (CI) and (more often) continuous delivery", 71.93356149630232], ["DevOps function", 60.45042242060168], ["Developer portal or other central places to find tools/services", 36.70152933011033], ["Innersource initiative", 14.13493526075198], ["Microservices", 49.12524232343298], ["None of these", 11.928296197017925], ["Observability tools", 39.35093219730513]]}, {"query": "SELECT ProfessionalTech.Name, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS Percentage FROM ProfessionalTech JOIN Response_ProfessionalTech ON ProfessionalTech.id = Response_ProfessionalTech.ProfessionalTech_id GROUP BY ProfessionalTech.Name", "results": [["AI-assisted technology tool(s)", 7.336517761033369], ["Automated testing", 28.478202368137783], ["Continuous integration (CI) and (more often) continuous delivery", 33.70111230714029], ["DevOps function", 28.321223537854323], ["Developer portal or other central places to find tools/services", 17.19478830283459], ["Innersource initiative", 6.622264083243631], ["Microservices", 23.015339074273413], ["None of these", 5.588446358091137], ["Observability tools", 18.436042339433083]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Which industries had more than 3000 respondents?", "labels": [{"query": "SELECT industry, COUNT(industry) AS cnt FROM Responses WHERE NOT industry IS NULL GROUP BY industry HAVING COUNT(industry) > 3000", "results": [["Financial Services", 4421], ["Information Services, IT, Software Development, or other Technology", 18159], ["Other", 4011]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Which industries have at least 10% of the Individual Contributors working in?", "labels": [{"query": "SELECT Industry, percentage FROM (SELECT Industry, COUNT(Industry) * 100.0 / SUM(COUNT(Industry)) OVER () AS percentage FROM Responses WHERE NOT Industry IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY Industry) WHERE percentage >= 10.", "results": [["Financial Services", 11.886894018555461], ["Information Services, IT, Software Development, or other Technology", 48.87432316899402], ["Other", 11.085779424337417]]}, {"query": "SELECT Industry, COUNT(*) AS Total FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor' GROUP BY Industry HAVING Total >= (SELECT COUNT(*) * 0.1 FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor')", "results": [[null, 6104], ["Information Services, IT, Software Development, or other Technology", 15435]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Which industry apart from Software has the highest number of respondents?", "labels": [{"query": "SELECT Industry FROM (SELECT Industry, COUNT(Industry) * 100.0 / SUM(COUNT(Industry)) OVER () AS percentage FROM Responses WHERE NOT Industry IS NULL GROUP BY Industry) WHERE NOT Industry LIKE '%Software%' ORDER BY percentage DESC LIMIT 1", "results": [["Financial Services"]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many respondents agreed to participate in the Professional Developer series?", "labels": [{"query": "SELECT COUNT(ProfessionalDeveloperParticipation) FROM Responses WHERE ProfessionalDeveloperParticipation = 'Yes'", "results": [[43872]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of Individual Contributors had more than twenty years of experience?", "labels": [{"query": "SELECT (SUM(CASE WHEN WorkExp >= 20 THEN 1 ELSE 0 END) * 100. / COUNT(*)) AS percentage FROM Responses WHERE NOT WorkExp IS NULL AND IndividualContributorOrPeopleManager = 'Individual contributor'", "results": [[17.455273698264353]]}, {"query": "SELECT ROUND(CAST((SELECT COUNT(*) FROM Responses WHERE WorkExp > 20 AND IndividualContributorOrPeopleManager = 'Individual contributor') AS REAL) / CAST((SELECT COUNT(*) FROM Responses WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS REAL) * 100, 2) AS Percentage", "results": [[13.97]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the mean years of experience do Individual Contributors and People Manager have?", "labels": [{"query": "SELECT IndividualContributorOrPeopleManager, AVG(WorkExp) FROM Responses WHERE NOT WorkExp IS NULL AND NOT IndividualContributorOrPeopleManager IS NULL GROUP BY IndividualContributorOrPeopleManager", "results": [["Individual contributor", 10.879813084112149], ["People manager", 14.703672647995976]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Is the mean years of experience higher for People Manager than Individual Contributors? Return 1 if true otherwise return 0.", "labels": [{"query": "WITH avgworkexp AS (SELECT IndividualContributorOrPeopleManager, AVG(WorkExp) AS avg_exp FROM Responses WHERE NOT WorkExp IS NULL AND NOT IndividualContributorOrPeopleManager IS NULL GROUP BY IndividualContributorOrPeopleManager) SELECT (SELECT avg_exp FROM avgworkexp WHERE IndividualContributorOrPeopleManager = 'People manager') > (SELECT avg_exp FROM avgworkexp WHERE IndividualContributorOrPeopleManager = 'Individual contributor') AS result", "results": [[1]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the mean years of experience by industry?", "labels": [{"query": "SELECT Industry, AVG(WorkExp) AS avg_exp FROM Responses WHERE NOT Industry IS NULL AND NOT WorkExp IS NULL GROUP BY Industry", "results": [["Advertising Services", 10.89987163029525], ["Financial Services", 11.237587848560418], ["Healthcare", 12.15036231884058], ["Higher Education", 12.975728155339805], ["Information Services, IT, Software Development, or other Technology", 11.206936608031862], ["Insurance", 11.964488636363637], ["Legal Services", 11.159420289855072], ["Manufacturing, Transportation, or Supply Chain", 11.98764001544998], ["Oil & Gas", 12.192727272727273], ["Other", 11.345208228800804], ["Retail and Consumer Services", 11.056613484302625], ["Wholesale", 10.858695652173912]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the top 5 industries with the most average years of People manager experience?", "labels": [{"query": "SELECT Industry, AVG(WorkExp) AS avg_exp FROM Responses WHERE NOT Industry IS NULL AND NOT WorkExp IS NULL AND IndividualContributorOrPeopleManager = 'People manager' GROUP BY Industry ORDER BY avg_exp DESC LIMIT 5", "results": [["Oil & Gas", 16.555555555555557], ["Higher Education", 15.724358974358974], ["Wholesale", 15.451612903225806], ["Manufacturing, Transportation, or Supply Chain", 15.37], ["Advertising Services", 15.157303370786517]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What percentage of respondents agree or strongly agree that they can find up-to-date information within the organization to help them do their job?", "labels": [{"query": "SELECT SUM(percentage) FROM (SELECT UpToDateInformation, COUNT(UpToDateInformation) * 100.0 / (SELECT COUNT(UpToDateInformation) FROM Responses) AS percentage FROM Responses WHERE NOT UpToDateInformation IS NULL GROUP BY UpToDateInformation) WHERE UpToDateInformation IN ('Agree', 'Strongly agree')", "results": [[50.05263409732523]]}, {"query": "SELECT ROUND((COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses WHERE NOT UpToDateInformation IS NULL)), 2) AS Percentage FROM Responses WHERE UpToDateInformation IN ('Agree', 'Strongly agree')", "results": [[50.05]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What is the % of Automated testing setup per industry?", "labels": [{"query": "WITH rel_prof_ind AS (SELECT r.*, p.*, s.Industry FROM Response_ProfessionalTech AS r JOIN ProfessionalTech AS p ON r.ProfessionalTech_id = p.id JOIN Responses AS s ON r.Response_id = s.id WHERE NOT s.Industry IS NULL) SELECT Industry, COUNT(DISTINCT CASE WHEN name = 'Automated testing' THEN Response_id END) * 100.0 / COUNT(DISTINCT Response_id) AS ratio FROM rel_prof_ind GROUP BY Industry ORDER BY ratio DESC", "results": [["Financial Services", 69.48096885813149], ["Retail and Consumer Services", 65.46121593291404], ["Insurance", 64.89971346704871], ["Information Services, IT, Software Development, or other Technology", 63.10327227357795], ["Healthcare", 62.824074074074076], ["Legal Services", 62.5], ["Other", 58.7297505785549], ["Advertising Services", 58.16062176165803], ["Manufacturing, Transportation, or Supply Chain", 53.17804974338729], ["Oil & Gas", 51.64835164835165], ["Wholesale", 38.63636363636363], ["Higher Education", 35.80672993960311]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Percentagewise how did respondents feel about the length of the survey?", "labels": [{"query": "SELECT SurveyLength, COUNT(SurveyLength) * 100.0 / SUM(COUNT(SurveyLength)) OVER () AS percentage FROM Responses WHERE NOT SurveyLength IS NULL GROUP BY SurveyLength", "results": [["Appropriate in length", 76.26987338844886], ["Too long", 21.51240099439209], ["Too short", 2.217725617159045]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Percentagewise how did respondents feel about the difficulty of the survey?", "labels": [{"query": "SELECT SurveyEase, COUNT(SurveyEase) * 100.0 / SUM(COUNT(SurveyEase)) OVER () AS percentage FROM Responses WHERE NOT SurveyEase IS NULL GROUP BY SurveyEase", "results": [["Difficult", 1.5874482981722393], ["Easy", 62.495089770547864], ["Neither easy nor difficult", 35.917461931279895]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "Percantagewise who participated in the survey?", "labels": [{"query": "SELECT ResponderDescription, COUNT(ResponderDescription) * 100.0 / SUM(COUNT(ResponderDescription)) OVER () AS percentage FROM Responses WHERE NOT ResponderDescription IS NULL GROUP BY ResponderDescription", "results": [["I am a developer by profession", 75.39132579834948], ["I am learning to code", 5.562656978830283], ["I am not primarily a developer, but I write code sometimes as part of my work/studies", 10.039917473986366], ["I code primarily as a hobby", 5.561535701471116], ["I used to be a developer by profession, but no longer am", 2.086697165410836], ["None of these", 1.3578668819519197]]}, {"query": "SELECT COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Responses) AS ParticipationPercentage FROM Responses WHERE NOT SurveyAgreement IS NULL", "results": [[100.0]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What\u2019s the second most used database and how many people use it?", "labels": [{"query": "select Databases.Name, counts from (   select Databases_id, count(*) as counts    from Response_DatabaseHaveWorkedWith group by Databases_id order by counts desc) join Databases on Databases.id=Databases_id limit 1 offset 1;", "results": [["MySQL", 31489]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many people outside the US work with USD?", "labels": [{"query": "select count(*) from responses where Currency = 'USD\tUnited States dollar' and Country != 'United States of America'", "results": [[2123]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What office tool for synchronous communication/collaboration is the most used in each industry?", "labels": [{"query": "select industry, name, counts from (   select r.industry, office.name, count(*) as counts,   ROW_NUMBER() OVER(PARTITION BY r.industry ORDER BY COUNT(*) DESC) AS rn   from Responses as r join Response_OfficeStackSyncHaveWorkedWith as res_stack   on res_stack.response_id = r.id join OfficeStackSync as office on res_stack.OfficeStackSync_id=office.id   where r.industry is not Null   group by r.industry, office.name)where rn=1", "results": [["Advertising Services", "Slack", 515], ["Financial Services", "Microsoft Teams", 2492], ["Healthcare", "Microsoft Teams", 1378], ["Higher Education", "Zoom", 803], ["Information Services, IT, Software Development, or other Technology", "Slack", 10462], ["Insurance", "Microsoft Teams", 505], ["Legal Services", "Microsoft Teams", 131], ["Manufacturing, Transportation, or Supply Chain", "Microsoft Teams", 1883], ["Oil & Gas", "Microsoft Teams", 197], ["Other", "Microsoft Teams", 2224], ["Retail and Consumer Services", "Slack", 1280], ["Wholesale", "Microsoft Teams", 88]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "What are the average work experiences of the users professionally using each of the operating systems?", "labels": [{"query": "select os.name, avg(r.WorkExp) as WorkExp  from responses r join Response_OpSysProfessionalUse as res on r.id=res.response_id join OperatingSystems as os on res.OperatingSystems_id=os.id where r.WorkExp is not Null group by os.name order by WorkExp desc", "results": [["Haiku", 19.25], ["AIX", 18.557377049180328], ["BSD", 18.358024691358025], ["Solaris", 17.710227272727273], ["Cygwin", 17.204347826086956], ["Red Hat", 14.056373580143038], ["Other (Please Specify):", 14.025492468134415], ["iPadOS", 13.81709265175719], ["Other Linux-based", 13.62405578152237], ["Debian", 12.718070273284997], ["Fedora", 12.365116279069767], ["iOS", 11.830088987764183], ["Windows", 11.823259223063767], ["ChromeOS", 11.685314685314685], ["Android", 11.60201912858661], ["Ubuntu", 11.568679549114332], ["Windows Subsystem for Linux (WSL)", 11.247557875016726], ["MacOS", 11.156535134494609], ["Arch", 9.384048257372655]]}], "prediction": null, "pred_eval": "", "comment": ""}, {"question": "How many people have worked with HuggingFace Transformers?", "labels": [{"query": "select count(distinct r.id)  from responses r join Response_MiscTechHaveWorkedWith as res on r.id=res.response_id  join MiscTech as tech on res.MiscTech_id=tech.id where tech.name='Hugging Face Transformers'", "results": [[1852]]}], "prediction": null, "pred_eval": "", "comment": ""}]