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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+global_superstore_2016.csv filter=lfs diff=lfs merge=lfs -text

Financial_Sample.csv

@@ -0,0 +1,701 @@
+Segment,Country,Product,Discount Band,Units Sold,Manufacturing Price,Sale Price,Discounts,COGS,Date,Month Number,Month Name,Year
+Government,Canada,Carretera,None,1618.5,3,20,0,16185,01-01-2014,1,January,2014
+Government,Germany,Carretera,None,1321,3,20,0,13210,01-01-2014,1,January,2014
+Midmarket,France,Carretera,None,2178,3,15,0,21780,01-06-2014,6,June,2014
+Midmarket,Germany,Carretera,None,888,3,15,0,8880,01-06-2014,6,June,2014
+Midmarket,Mexico,Carretera,None,2470,3,15,0,24700,01-06-2014,6,June,2014
+Government,Germany,Carretera,None,1513,3,350,0,393380,01-12-2014,12,December,2014
+Midmarket,Germany,Montana,None,921,5,15,0,9210,01-03-2014,3,March,2014
+Channel Partners,Canada,Montana,None,2518,5,12,0,7554,01-06-2014,6,June,2014
+Government,France,Montana,None,1899,5,20,0,18990,01-06-2014,6,June,2014
+Channel Partners,Germany,Montana,None,1545,5,12,0,4635,01-06-2014,6,June,2014
+Midmarket,Mexico,Montana,None,2470,5,15,0,24700,01-06-2014,6,June,2014
+Enterprise,Canada,Montana,None,2665.5,5,125,0,319860,01-07-2014,7,July,2014
+Small Business,Mexico,Montana,None,958,5,300,0,239500,01-08-2014,8,August,2014
+Government,Germany,Montana,None,2146,5,7,0,10730,01-09-2014,9,September,2014
+Enterprise,Canada,Montana,None,345,5,125,0,41400,01-10-2013,10,October,2013
+Midmarket,United States of America,Montana,None,615,5,15,0,6150,01-12-2014,12,December,2014
+Government,Canada,Paseo,None,292,10,20,0,2920,01-02-2014,2,February,2014
+Midmarket,Mexico,Paseo,None,974,10,15,0,9740,01-02-2014,2,February,2014
+Channel Partners,Canada,Paseo,None,2518,10,12,0,7554,01-06-2014,6,June,2014
+Government,Germany,Paseo,None,1006,10,350,0,261560,01-06-2014,6,June,2014
+Channel Partners,Germany,Paseo,None,367,10,12,0,1101,01-07-2014,7,July,2014
+Government,Mexico,Paseo,None,883,10,7,0,4415,01-08-2014,8,August,2014
+Midmarket,France,Paseo,None,549,10,15,0,5490,01-09-2013,9,September,2013
+Small Business,Mexico,Paseo,None,788,10,300,0,197000,01-09-2013,9,September,2013
+Midmarket,Mexico,Paseo,None,2472,10,15,0,24720,01-09-2014,9,September,2014
+Government,United States of America,Paseo,None,1143,10,7,0,5715,01-10-2014,10,October,2014
+Government,Canada,Paseo,None,1725,10,350,0,448500,01-11-2013,11,November,2013
+Channel Partners,United States of America,Paseo,None,912,10,12,0,2736,01-11-2013,11,November,2013
+Midmarket,Canada,Paseo,None,2152,10,15,0,21520,01-12-2013,12,December,2013
+Government,Canada,Paseo,None,1817,10,20,0,18170,01-12-2014,12,December,2014
+Government,Germany,Paseo,None,1513,10,350,0,393380,01-12-2014,12,December,2014
+Government,Mexico,Velo,None,1493,120,7,0,7465,01-01-2014,1,January,2014
+Enterprise,France,Velo,None,1804,120,125,0,216480,01-02-2014,2,February,2014
+Channel Partners,Germany,Velo,None,2161,120,12,0,6483,01-03-2014,3,March,2014
+Government,Germany,Velo,None,1006,120,350,0,261560,01-06-2014,6,June,2014
+Channel Partners,Germany,Velo,None,1545,120,12,0,4635,01-06-2014,6,June,2014
+Enterprise,United States of America,Velo,None,2821,120,125,0,338520,01-08-2014,8,August,2014
+Enterprise,Canada,Velo,None,345,120,125,0,41400,01-10-2013,10,October,2013
+Small Business,Canada,VTT,None,2001,250,300,0,500250,01-02-2014,2,February,2014
+Channel Partners,Germany,VTT,None,2838,250,12,0,8514,01-04-2014,4,April,2014
+Midmarket,France,VTT,None,2178,250,15,0,21780,01-06-2014,6,June,2014
+Midmarket,Germany,VTT,None,888,250,15,0,8880,01-06-2014,6,June,2014
+Government,France,VTT,None,1527,250,350,0,397020,01-09-2013,9,September,2013
+Small Business,France,VTT,None,2151,250,300,0,537750,01-09-2014,9,September,2014
+Government,Canada,VTT,None,1817,250,20,0,18170,01-12-2014,12,December,2014
+Government,France,Amarilla,None,2750,260,350,0,715000,01-02-2014,2,February,2014
+Channel Partners,United States of America,Amarilla,None,1953,260,12,0,5859,01-04-2014,4,April,2014
+Enterprise,Germany,Amarilla,None,4219.5,260,125,0,506340,01-04-2014,4,April,2014
+Government,France,Amarilla,None,1899,260,20,0,18990,01-06-2014,6,June,2014
+Government,Germany,Amarilla,None,1686,260,7,0,8430,01-07-2014,7,July,2014
+Channel Partners,United States of America,Amarilla,None,2141,260,12,0,6423,01-08-2014,8,August,2014
+Government,United States of America,Amarilla,None,1143,260,7,0,5715,01-10-2014,10,October,2014
+Midmarket,United States of America,Amarilla,None,615,260,15,0,6150,01-12-2014,12,December,2014
+Government,France,Paseo,Low,3945,10,7,276.15,19725,01-01-2014,1,January,2014
+Midmarket,France,Paseo,Low,2296,10,15,344.4,22960,01-02-2014,2,February,2014
+Government,France,Paseo,Low,1030,10,7,72.1,5150,01-05-2014,5,May,2014
+Government,France,Velo,Low,639,120,7,44.73,3195,01-11-2014,11,November,2014
+Government,Canada,VTT,Low,1326,250,7,92.82,6630,01-03-2014,3,March,2014
+Channel Partners,United States of America,Carretera,Low,1858,3,12,222.96,5574,01-02-2014,2,February,2014
+Government,Mexico,Carretera,Low,1210,3,350,4235,314600,01-03-2014,3,March,2014
+Government,United States of America,Carretera,Low,2529,3,7,177.03,12645,01-07-2014,7,July,2014
+Channel Partners,Canada,Carretera,Low,1445,3,12,173.4,4335,01-09-2014,9,September,2014
+Enterprise,United States of America,Carretera,Low,330,3,125,412.5,39600,01-09-2013,9,September,2013
+Channel Partners,France,Carretera,Low,2671,3,12,320.52,8013,01-09-2014,9,September,2014
+Channel Partners,Germany,Carretera,Low,766,3,12,91.92,2298,01-10-2013,10,October,2013
+Small Business,Mexico,Carretera,Low,494,3,300,1482,123500,01-10-2013,10,October,2013
+Government,Mexico,Carretera,Low,1397,3,350,4889.5,363220,01-10-2014,10,October,2014
+Government,France,Carretera,Low,2155,3,350,7542.5,560300,01-12-2014,12,December,2014
+Midmarket,Mexico,Montana,Low,2214,5,15,332.1,22140,01-03-2014,3,March,2014
+Small Business,United States of America,Montana,Low,2301,5,300,6903,575250,01-04-2014,4,April,2014
+Government,France,Montana,Low,1375.5,5,20,275.1,13755,01-07-2014,7,July,2014
+Government,Canada,Montana,Low,1830,5,7,128.1,9150,01-08-2014,8,August,2014
+Small Business,United States of America,Montana,Low,2498,5,300,7494,624500,01-09-2013,9,September,2013
+Enterprise,United States of America,Montana,Low,663,5,125,828.75,79560,01-10-2013,10,October,2013
+Midmarket,United States of America,Paseo,Low,1514,10,15,227.1,15140,01-02-2014,2,February,2014
+Government,United States of America,Paseo,Low,4492.5,10,7,314.475,22462.5,01-04-2014,4,April,2014
+Enterprise,United States of America,Paseo,Low,727,10,125,908.75,87240,01-06-2014,6,June,2014
+Enterprise,France,Paseo,Low,787,10,125,983.75,94440,01-06-2014,6,June,2014
+Enterprise,Mexico,Paseo,Low,1823,10,125,2278.75,218760,01-07-2014,7,July,2014
+Midmarket,Germany,Paseo,Low,747,10,15,112.05,7470,01-09-2014,9,September,2014
+Channel Partners,Germany,Paseo,Low,766,10,12,91.92,2298,01-10-2013,10,October,2013
+Small Business,United States of America,Paseo,Low,2905,10,300,8715,726250,01-11-2014,11,November,2014
+Government,France,Paseo,Low,2155,10,350,7542.5,560300,01-12-2014,12,December,2014
+Government,France,Velo,Low,3864,120,20,772.8000000000001,38640,01-04-2014,4,April,2014
+Government,Mexico,Velo,Low,362,120,7,25.34,1810,01-05-2014,5,May,2014
+Enterprise,Canada,Velo,Low,923,120,125,1153.75,110760,01-08-2014,8,August,2014
+Enterprise,United States of America,Velo,Low,663,120,125,828.75,79560,01-10-2013,10,October,2013
+Government,Canada,Velo,Low,2092,120,7,146.44,10460,01-11-2013,11,November,2013
+Government,Germany,VTT,Low,263,250,7,18.41,1315,01-03-2014,3,March,2014
+Government,Canada,VTT,Low,943.5,250,350,3302.25,245310,01-04-2014,4,April,2014
+Enterprise,United States of America,VTT,Low,727,250,125,908.75,87240,01-06-2014,6,June,2014
+Enterprise,France,VTT,Low,787,250,125,983.75,94440,01-06-2014,6,June,2014
+Small Business,Germany,VTT,Low,986,250,300,2958,246500,01-09-2014,9,September,2014
+Small Business,Mexico,VTT,Low,494,250,300,1482,123500,01-10-2013,10,October,2013
+Government,Mexico,VTT,Low,1397,250,350,4889.5,363220,01-10-2014,10,October,2014
+Enterprise,France,VTT,Low,1744,250,125,2180,209280,01-11-2014,11,November,2014
+Channel Partners,United States of America,Amarilla,Low,1989,260,12,238.68,5967,01-09-2013,9,September,2013
+Midmarket,France,Amarilla,Low,321,260,15,48.15,3210,01-11-2013,11,November,2013
+Enterprise,Canada,Carretera,Low,742.5,3,125,1856.25,89100,01-04-2014,4,April,2014
+Channel Partners,Canada,Carretera,Low,1295,3,12,310.8,3885,01-10-2014,10,October,2014
+Small Business,Germany,Carretera,Low,214,3,300,1284,53500,01-10-2013,10,October,2013
+Government,France,Carretera,Low,2145,3,7,300.3,10725,01-11-2013,11,November,2013
+Government,Canada,Carretera,Low,2852,3,350,19964,741520,01-12-2014,12,December,2014
+Channel Partners,United States of America,Montana,Low,1142,5,12,274.08,3426,01-06-2014,6,June,2014
+Government,United States of America,Montana,Low,1566,5,20,626.4,15660,01-10-2014,10,October,2014
+Channel Partners,Mexico,Montana,Low,690,5,12,165.6,2070,01-11-2014,11,November,2014
+Enterprise,Mexico,Montana,Low,1660,5,125,4150,199200,01-11-2013,11,November,2013
+Midmarket,Canada,Paseo,Low,2363,10,15,708.9,23630,01-02-2014,2,February,2014
+Small Business,France,Paseo,Low,918,10,300,5508,229500,01-05-2014,5,May,2014
+Small Business,Germany,Paseo,Low,1728,10,300,10368,432000,01-05-2014,5,May,2014
+Channel Partners,United States of America,Paseo,Low,1142,10,12,274.08,3426,01-06-2014,6,June,2014
+Enterprise,Mexico,Paseo,Low,662,10,125,1655,79440,01-06-2014,6,June,2014
+Channel Partners,Canada,Paseo,Low,1295,10,12,310.8,3885,01-10-2014,10,October,2014
+Enterprise,Germany,Paseo,Low,809,10,125,2022.5,97080,01-10-2013,10,October,2013
+Enterprise,Mexico,Paseo,Low,2145,10,125,5362.5,257400,01-10-2013,10,October,2013
+Channel Partners,France,Paseo,Low,1785,10,12,428.4,5355,01-11-2013,11,November,2013
+Small Business,Canada,Paseo,Low,1916,10,300,11496,479000,01-12-2014,12,December,2014
+Government,Canada,Paseo,Low,2852,10,350,19964,741520,01-12-2014,12,December,2014
+Enterprise,Canada,Paseo,Low,2729,10,125,6822.5,327480,01-12-2014,12,December,2014
+Midmarket,United States of America,Paseo,Low,1925,10,15,577.5,19250,01-12-2013,12,December,2013
+Government,United States of America,Paseo,Low,2013,10,7,281.82,10065,01-12-2013,12,December,2013
+Channel Partners,France,Paseo,Low,1055,10,12,253.2,3165,01-12-2014,12,December,2014
+Channel Partners,Mexico,Paseo,Low,1084,10,12,260.16,3252,01-12-2014,12,December,2014
+Government,United States of America,Velo,Low,1566,120,20,626.4,15660,01-10-2014,10,October,2014
+Government,Germany,Velo,Low,2966,120,350,20762,771160,01-10-2013,10,October,2013
+Government,Germany,Velo,Low,2877,120,350,20139,748020,01-10-2014,10,October,2014
+Enterprise,Germany,Velo,Low,809,120,125,2022.5,97080,01-10-2013,10,October,2013
+Enterprise,Mexico,Velo,Low,2145,120,125,5362.5,257400,01-10-2013,10,October,2013
+Channel Partners,France,Velo,Low,1055,120,12,253.2,3165,01-12-2014,12,December,2014
+Government,Mexico,Velo,Low,544,120,20,217.6,5440,01-12-2013,12,December,2013
+Channel Partners,Mexico,Velo,Low,1084,120,12,260.16,3252,01-12-2014,12,December,2014
+Enterprise,Mexico,VTT,Low,662,250,125,1655,79440,01-06-2014,6,June,2014
+Small Business,Germany,VTT,Low,214,250,300,1284,53500,01-10-2013,10,October,2013
+Government,Germany,VTT,Low,2877,250,350,20139,748020,01-10-2014,10,October,2014
+Enterprise,Canada,VTT,Low,2729,250,125,6822.5,327480,01-12-2014,12,December,2014
+Government,United States of America,VTT,Low,266,250,350,1862,69160,01-12-2013,12,December,2013
+Government,Mexico,VTT,Low,1940,250,350,13580,504400,01-12-2013,12,December,2013
+Small Business,Germany,Amarilla,Low,259,260,300,1554,64750,01-03-2014,3,March,2014
+Small Business,Mexico,Amarilla,Low,1101,260,300,6606,275250,01-03-2014,3,March,2014
+Enterprise,Germany,Amarilla,Low,2276,260,125,5690,273120,01-05-2014,5,May,2014
+Government,Germany,Amarilla,Low,2966,260,350,20762,771160,01-10-2013,10,October,2013
+Government,United States of America,Amarilla,Low,1236,260,20,494.4,12360,01-11-2014,11,November,2014
+Government,France,Amarilla,Low,941,260,20,376.4,9410,01-11-2014,11,November,2014
+Small Business,Canada,Amarilla,Low,1916,260,300,11496,479000,01-12-2014,12,December,2014
+Enterprise,France,Carretera,Low,4243.5,3,125,15913.125,509220,01-04-2014,4,April,2014
+Government,Germany,Carretera,Low,2580,3,20,1548,25800,01-04-2014,4,April,2014
+Small Business,Germany,Carretera,Low,689,3,300,6201,172250,01-06-2014,6,June,2014
+Channel Partners,United States of America,Carretera,Low,1947,3,12,700.92,5841,01-09-2014,9,September,2014
+Channel Partners,Canada,Carretera,Low,908,3,12,326.88,2724,01-12-2013,12,December,2013
+Government,Germany,Montana,Low,1958,5,7,411.18,9790,01-02-2014,2,February,2014
+Channel Partners,France,Montana,Low,1901,5,12,684.36,5703,01-06-2014,6,June,2014
+Government,France,Montana,Low,544,5,7,114.24,2720,01-09-2014,9,September,2014
+Government,Germany,Montana,Low,1797,5,350,18868.5,467220,01-09-2013,9,September,2013
+Enterprise,France,Montana,Low,1287,5,125,4826.25,154440,01-12-2014,12,December,2014
+Enterprise,Germany,Montana,Low,1706,5,125,6397.5,204720,01-12-2014,12,December,2014
+Small Business,France,Paseo,Low,2434.5,10,300,21910.5,608625,01-01-2014,1,January,2014
+Enterprise,Canada,Paseo,Low,1774,10,125,6652.5,212880,01-03-2014,3,March,2014
+Channel Partners,France,Paseo,Low,1901,10,12,684.36,5703,01-06-2014,6,June,2014
+Small Business,Germany,Paseo,Low,689,10,300,6201,172250,01-06-2014,6,June,2014
+Enterprise,Germany,Paseo,Low,1570,10,125,5887.5,188400,01-06-2014,6,June,2014
+Channel Partners,United States of America,Paseo,Low,1369.5,10,12,493.02,4108.5,01-07-2014,7,July,2014
+Enterprise,Canada,Paseo,Low,2009,10,125,7533.75,241080,01-10-2014,10,October,2014
+Midmarket,Germany,Paseo,Low,1945,10,15,875.25,19450,01-10-2013,10,October,2013
+Enterprise,France,Paseo,Low,1287,10,125,4826.25,154440,01-12-2014,12,December,2014
+Enterprise,Germany,Paseo,Low,1706,10,125,6397.5,204720,01-12-2014,12,December,2014
+Enterprise,Canada,Velo,Low,2009,120,125,7533.75,241080,01-10-2014,10,October,2014
+Small Business,United States of America,VTT,Low,2844,250,300,25596,711000,01-02-2014,2,February,2014
+Channel Partners,Mexico,VTT,Low,1916,250,12,689.76,5748,01-04-2014,4,April,2014
+Enterprise,Germany,VTT,Low,1570,250,125,5887.5,188400,01-06-2014,6,June,2014
+Small Business,Canada,VTT,Low,1874,250,300,16866,468500,01-08-2014,8,August,2014
+Government,Mexico,VTT,Low,1642,250,350,17241,426920,01-08-2014,8,August,2014
+Midmarket,Germany,VTT,Low,1945,250,15,875.25,19450,01-10-2013,10,October,2013
+Government,Canada,Carretera,Low,831,3,20,498.6,8310,01-05-2014,5,May,2014
+Government,Mexico,Paseo,Low,1760,10,7,369.6,8800,01-09-2013,9,September,2013
+Government,Canada,Velo,Low,3850.5,120,20,2310.3,38505,01-04-2014,4,April,2014
+Channel Partners,Germany,VTT,Low,2479,250,12,892.44,7437,01-01-2014,1,January,2014
+Midmarket,Mexico,Montana,Low,2031,5,15,1218.6,20310,01-10-2014,10,October,2014
+Midmarket,Mexico,Paseo,Low,2031,10,15,1218.6,20310,01-10-2014,10,October,2014
+Midmarket,France,Paseo,Low,2261,10,15,1356.6,22610,01-12-2013,12,December,2013
+Government,United States of America,Velo,Low,736,120,20,588.8,7360,01-09-2013,9,September,2013
+Government,Canada,Carretera,Low,2851,3,7,798.28,14255,01-10-2013,10,October,2013
+Small Business,Germany,Carretera,Low,2021,3,300,24252,505250,01-10-2014,10,October,2014
+Government,United States of America,Carretera,Low,274,3,350,3836,71240,01-12-2014,12,December,2014
+Midmarket,Canada,Montana,Low,1967,5,15,1180.2,19670,01-03-2014,3,March,2014
+Small Business,Germany,Montana,Low,1859,5,300,22308,464750,01-08-2014,8,August,2014
+Government,Canada,Montana,Low,2851,5,7,798.28,14255,01-10-2013,10,October,2013
+Small Business,Germany,Montana,Low,2021,5,300,24252,505250,01-10-2014,10,October,2014
+Enterprise,Mexico,Montana,Low,1138,5,125,5690,136560,01-12-2014,12,December,2014
+Government,Canada,Paseo,Low,4251,10,7,1190.28,21255,01-01-2014,1,January,2014
+Enterprise,Germany,Paseo,Low,795,10,125,3975,95400,01-03-2014,3,March,2014
+Small Business,Germany,Paseo,Low,1414.5,10,300,16974,353625,01-04-2014,4,April,2014
+Small Business,United States of America,Paseo,Low,2918,10,300,35016,729500,01-05-2014,5,May,2014
+Government,United States of America,Paseo,Low,3450,10,350,48300,897000,01-07-2014,7,July,2014
+Enterprise,France,Paseo,Low,2988,10,125,14940,358560,01-07-2014,7,July,2014
+Midmarket,Canada,Paseo,Low,218,10,15,130.8,2180,01-09-2014,9,September,2014
+Government,Canada,Paseo,Low,2074,10,20,1659.2,20740,01-09-2014,9,September,2014
+Government,United States of America,Paseo,Low,1056,10,20,844.8,10560,01-09-2014,9,September,2014
+Midmarket,United States of America,Paseo,Low,671,10,15,402.6,6710,01-10-2013,10,October,2013
+Midmarket,Mexico,Paseo,Low,1514,10,15,908.4,15140,01-10-2013,10,October,2013
+Government,United States of America,Paseo,Low,274,10,350,3836,71240,01-12-2014,12,December,2014
+Enterprise,Mexico,Paseo,Low,1138,10,125,5690,136560,01-12-2014,12,December,2014
+Channel Partners,United States of America,Velo,Low,1465,120,12,703.2,4395,01-03-2014,3,March,2014
+Government,Canada,Velo,Low,2646,120,20,2116.8,26460,01-09-2013,9,September,2013
+Government,France,Velo,Low,2177,120,350,30478,566020,01-10-2014,10,October,2014
+Channel Partners,France,VTT,Low,866,250,12,415.68,2598,01-05-2014,5,May,2014
+Government,United States of America,VTT,Low,349,250,350,4886,90740,01-09-2013,9,September,2013
+Government,France,VTT,Low,2177,250,350,30478,566020,01-10-2014,10,October,2014
+Midmarket,Mexico,VTT,Low,1514,250,15,908.4,15140,01-10-2013,10,October,2013
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+Channel Partners,France,Amarilla,High,1393,260,12,2340.24,4179,01-10-2014,10,October,2014
+Channel Partners,United States of America,Amarilla,High,2015,260,12,3385.2,6045,01-12-2013,12,December,2013
+Small Business,Mexico,Carretera,High,801,3,300,33642,200250,01-07-2014,7,July,2014
+Enterprise,France,Carretera,High,1023,3,125,17902.5,122760,01-09-2013,9,September,2013
+Small Business,Canada,Carretera,High,1496,3,300,62832,374000,01-10-2014,10,October,2014
+Small Business,United States of America,Carretera,High,1010,3,300,42420,252500,01-10-2014,10,October,2014
+Midmarket,Germany,Carretera,High,1513,3,15,3177.3,15130,01-11-2014,11,November,2014
+Midmarket,Canada,Carretera,High,2300,3,15,4830,23000,01-12-2014,12,December,2014
+Enterprise,Mexico,Carretera,High,2821,3,125,49367.5,338520,01-12-2013,12,December,2013
+Government,Canada,Montana,High,2227.5,5,350,109147.5,579150,01-01-2014,1,January,2014
+Government,Germany,Montana,High,1199,5,350,58751,311740,01-04-2014,4,April,2014
+Government,Canada,Montana,High,200,5,350,9800,52000,01-05-2014,5,May,2014
+Government,Canada,Montana,High,388,5,7,380.24,1940,01-09-2014,9,September,2014
+Government,Mexico,Montana,High,1727,5,7,1692.46,8635,01-10-2013,10,October,2013
+Midmarket,Canada,Montana,High,2300,5,15,4830,23000,01-12-2014,12,December,2014
+Government,Mexico,Paseo,High,260,10,20,728,2600,01-02-2014,2,February,2014
+Midmarket,Canada,Paseo,High,2470,10,15,5187,24700,01-09-2013,9,September,2013
+Midmarket,Canada,Paseo,High,1743,10,15,3660.3,17430,01-10-2013,10,October,2013
+Channel Partners,United States of America,Paseo,High,2914,10,12,4895.52,8742,01-10-2014,10,October,2014
+Government,France,Paseo,High,1731,10,7,1696.38,8655,01-10-2014,10,October,2014
+Government,Canada,Paseo,High,700,10,350,34300,182000,01-11-2014,11,November,2014
+Channel Partners,Canada,Paseo,High,2222,10,12,3732.96,6666,01-11-2013,11,November,2013
+Government,United States of America,Paseo,High,1177,10,350,57673,306020,01-11-2014,11,November,2014
+Government,France,Paseo,High,1922,10,350,94178,499720,01-11-2013,11,November,2013
+Enterprise,Mexico,Velo,High,1575,120,125,27562.5,189000,01-02-2014,2,February,2014
+Government,United States of America,Velo,High,606,120,20,1696.8000000000002,6060,01-04-2014,4,April,2014
+Small Business,United States of America,Velo,High,2460,120,300,103320,615000,01-07-2014,7,July,2014
+Small Business,Canada,Velo,High,269,120,300,11298,67250,01-10-2013,10,October,2013
+Small Business,Germany,Velo,High,2536,120,300,106512,634000,01-11-2013,11,November,2013
+Government,Mexico,VTT,High,2903,250,7,2844.94,14515,01-03-2014,3,March,2014
+Small Business,United States of America,VTT,High,2541,250,300,106722,635250,01-08-2014,8,August,2014
+Small Business,Canada,VTT,High,269,250,300,11298,67250,01-10-2013,10,October,2013
+Small Business,Canada,VTT,High,1496,250,300,62832,374000,01-10-2014,10,October,2014
+Small Business,United States of America,VTT,High,1010,250,300,42420,252500,01-10-2014,10,October,2014
+Government,France,VTT,High,1281,250,350,62769,333060,01-12-2013,12,December,2013
+Small Business,Canada,Amarilla,High,888,260,300,37296,222000,01-03-2014,3,March,2014
+Enterprise,United States of America,Amarilla,High,2844,260,125,49770,341280,01-05-2014,5,May,2014
+Channel Partners,France,Amarilla,High,2475,260,12,4158,7425,01-08-2014,8,August,2014
+Midmarket,Canada,Amarilla,High,1743,260,15,3660.3,17430,01-10-2013,10,October,2013
+Channel Partners,United States of America,Amarilla,High,2914,260,12,4895.52,8742,01-10-2014,10,October,2014
+Government,France,Amarilla,High,1731,260,7,1696.38,8655,01-10-2014,10,October,2014
+Government,Mexico,Amarilla,High,1727,260,7,1692.46,8635,01-10-2013,10,October,2013
+Midmarket,Mexico,Amarilla,High,1870,260,15,3927,18700,01-11-2013,11,November,2013
+Enterprise,France,Carretera,High,1174,3,125,22012.5,140880,01-08-2014,8,August,2014
+Enterprise,Germany,Carretera,High,2767,3,125,51881.25,332040,01-08-2014,8,August,2014
+Enterprise,Germany,Carretera,High,1085,3,125,20343.75,130200,01-10-2014,10,October,2014
+Small Business,Mexico,Montana,High,546,5,300,24570,136500,01-10-2014,10,October,2014
+Government,Germany,Paseo,High,1158,10,20,3474,11580,01-03-2014,3,March,2014
+Midmarket,Canada,Paseo,High,1614,10,15,3631.5,16140,01-04-2014,4,April,2014
+Government,Mexico,Paseo,High,2535,10,7,2661.75,12675,01-04-2014,4,April,2014
+Government,Mexico,Paseo,High,2851,10,350,149677.5,741260,01-05-2014,5,May,2014
+Midmarket,Canada,Paseo,High,2559,10,15,5757.75,25590,01-08-2014,8,August,2014
+Government,United States of America,Paseo,High,267,10,20,801,2670,01-10-2013,10,October,2013
+Enterprise,Germany,Paseo,High,1085,10,125,20343.75,130200,01-10-2014,10,October,2014
+Midmarket,Germany,Paseo,High,1175,10,15,2643.75,11750,01-10-2014,10,October,2014
+Government,United States of America,Paseo,High,2007,10,350,105367.5,521820,01-11-2013,11,November,2013
+Government,Mexico,Paseo,High,2151,10,350,112927.5,559260,01-11-2013,11,November,2013
+Channel Partners,United States of America,Paseo,High,914,10,12,1645.2,2742,01-12-2014,12,December,2014
+Government,France,Paseo,High,293,10,20,879,2930,01-12-2014,12,December,2014
+Channel Partners,Mexico,Velo,High,500,120,12,900,1500,01-03-2014,3,March,2014
+Midmarket,France,Velo,High,2826,120,15,6358.5,28260,01-05-2014,5,May,2014
+Enterprise,France,Velo,High,663,120,125,12431.25,79560,01-09-2014,9,September,2014
+Small Business,United States of America,Velo,High,2574,120,300,115830,643500,01-11-2013,11,November,2013
+Enterprise,United States of America,Velo,High,2438,120,125,45712.5,292560,01-12-2013,12,December,2013
+Channel Partners,United States of America,Velo,High,914,120,12,1645.2,2742,01-12-2014,12,December,2014
+Government,Canada,VTT,High,865.5,250,20,2596.5,8655,01-07-2014,7,July,2014
+Midmarket,Germany,VTT,High,492,250,15,1107,4920,01-07-2014,7,July,2014
+Government,United States of America,VTT,High,267,250,20,801,2670,01-10-2013,10,October,2013
+Midmarket,Germany,VTT,High,1175,250,15,2643.75,11750,01-10-2014,10,October,2014
+Enterprise,Canada,VTT,High,2954,250,125,55387.5,354480,01-11-2013,11,November,2013
+Enterprise,Germany,VTT,High,552,250,125,10350,66240,01-11-2014,11,November,2014
+Government,France,VTT,High,293,250,20,879,2930,01-12-2014,12,December,2014
+Small Business,France,Amarilla,High,2475,260,300,111375,618750,01-03-2014,3,March,2014
+Small Business,Mexico,Amarilla,High,546,260,300,24570,136500,01-10-2014,10,October,2014
+Government,Mexico,Montana,High,1368,5,7,1436.4,6840,01-02-2014,2,February,2014
+Government,Canada,Paseo,High,723,10,7,759.1500000000001,3615,01-04-2014,4,April,2014
+Channel Partners,United States of America,VTT,High,1806,250,12,3250.8,5418,01-05-2014,5,May,2014

README.md

@@ -0,0 +1,13 @@
+---
+title: CodeGen
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: streamlit
+sdk_version: 1.37.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

chat_app.py

@@ -0,0 +1,249 @@
+import streamlit as st
+import streamlit.components.v1 as components
+import openai
+import subprocess
+import re
+import os
+import pandas as pd
+import socket
+import time
+
+# csv_name = "./Financial_Sample.csv"
+csv_name='./global_superstore_2016.csv'
+try:
+    df = pd.read_csv(csv_name)
+    metadata = {
+        "columns": df.columns.tolist(),
+        "dtypes": df.dtypes.apply(lambda x: x.name).to_dict(),
+        "shape": df.shape,
+    }
+except Exception as e:
+    st.error(f"Error loading CSV file: {e}")
+    st.stop()
+
+
+def is_port_in_use(port: int) -> bool:
+    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+        return s.connect_ex(("localhost", port)) == 0
+
+
+def find_free_port(starting_port: int) -> int:
+    port = starting_port
+    while is_port_in_use(port):
+        port += 1
+    return port
+
+
+def runcode(code: str) -> tuple:
+    with open("code.py", "w") as file:
+        file.write(code)
+
+    starting_port = 8501
+    free_port = find_free_port(starting_port)
+
+    try:
+        process = subprocess.Popen(
+            ["streamlit", "run", "code.py", "--server.port", str(free_port)],
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+        )
+
+        time.sleep(5)
+
+        if process.poll() is None:
+            return (
+                free_port,
+                f"Streamlit process started successfully on port {free_port}",
+            )
+        else:
+            stdout, stderr = process.communicate()
+            return (None, f"Streamlit process exited unexpectedly. Error: {stderr}")
+
+    except FileNotFoundError:
+        return (None, "Error: Streamlit is not installed or not in PATH")
+    except Exception as e:
+        return (None, f"An unexpected error occurred: {str(e)}")
+
+
+class Agent:
+    def __init__(self, system_prompt="", known_actions=None):
+        self.system = system_prompt
+        self.messages = []
+        self.known_actions = known_actions if known_actions is not None else {}
+
+        self.client = openai.OpenAI(
+            api_key= os.environ.get('TOGETHER_API_KEY'),
+            base_url="https://api.together.xyz/v1",
+        )
+        self.messages.append({"role": "system", "content": self.system})
+
+    def __call__(self, message):
+        self.messages.append({"role": "user", "content": message})
+        result = self.execute()
+        self.messages.append({"role": "assistant", "content": result})
+        return result
+
+    def execute(self):
+        try:
+            # Using 405B for Better performance
+            response = self.client.chat.completions.create(
+                model="meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
+                stop=["PAUSE"],
+                messages=self.messages,
+            )
+            return response.choices[0].message.content
+        except Exception as e:
+            return f"Error executing model: {str(e)}"
+
+    def query(self, question, max_turns=5):
+        i = 0
+        next_prompt = question
+        while i < max_turns:
+            i += 1
+            result = self(next_prompt)
+            st.session_state.logs += f"Assistant: {result}\n"
+            print(f"Assistant: {result}\n")
+
+            # action_re = re.search(r"Action: (\w+): (.*)", result, re.DOTALL)
+            # Modify RE for detecting if input goes to next line TODO,BUG
+            action_re = re.search(r"Action: (\w+): *\n(.*)", result, re.DOTALL)
+            if action_re:
+                action = action_re.group(1)
+                action_input = action_re.group(2).strip()
+                st.session_state.logs += (
+                    f"Action: {action}\nAction Input: {action_input}\n"
+                )
+                print(f"Action: {action}\nAction Input: {action_input}\n")
+                if action not in self.known_actions:
+                    error_msg = f"Unknown action: {action}: {action_input}"
+                    raise Exception(error_msg)
+
+                st.session_state.logs += (
+                    f" ------------------------\n running {action} {action_input}\n"
+                )
+                print(f" ------------------------\n running {action} {action_input}\n")
+                observation = self.known_actions[action](action_input)
+                st.session_state.logs += f"Observation: {observation}\n"
+                print(f"Observation: {observation}\n")
+                next_prompt = f"Observation: {observation}"
+            else:
+                print("No action found, ending query")
+                return
+
+
+known_actions = {"runcode": runcode}
+prompt = f"""
+You are an expert in creating advanced Interactive Streamlit Dashboards in python based on user Query and you run in a loop of Thought, Action, PAUSE, Observation.
+At the end of the loop you output an Answer
+Use Thought to describe your thoughts about the question you have been asked.
+Use Action to run one of the actions available to you - then return PAUSE.
+Observation will be the result of running those actions.
+
+Always return just code no need of ```
+
+Your Task is help user get result of query about below dataset,Decide based on user query to make Dashboard or Just Textual Answer.
+Here is the metadata of the dataset and name of dataset is {csv_name}:
+use plotly preferably.
+
+Columns: {metadata['columns']}
+Dtypes: {metadata['dtypes']}
+Shape: {metadata['shape']}
+You can use this metadata to generate results.
+
+Your available actions are:
+runcode
+
+How to use actions
+Action : action_name: input_to_action
+
+if input_to_action is code then don't use ``` just write code.
+Always Follow Action : action_name: input_to_action
+Example session:
+
+Question:  Give me a dashboard to visualize the people height and age
+
+Thought: I need to run a create a dashboard where i can visualize the Subscriptions and Country data
+
+Action: runcode: import streamlit as st
+import pandas as pd
+import plotly.express as px
+from datetime import datetime
+
+def load_data():
+    df = pd.read_csv(f{csv_name})
+    return df
+
+df = load_data()
+st.title("Height vs Age Visualization")
+fig = px.scatter(df, x='age', y='height', opacity=0.6)
+fig.update_layout(
+    xaxis_title="Age (years)",
+    yaxis_title="Height (cm)",
+    title="Height vs Age Scatter Plot"
+)
+
+st.plotly_chart(fig, use_container_width=True)
+
+PAUSE
+
+Observation :  understand the output based its stdout and take necessary steps. 
+
+Answer: Final Answer for User Request if its Dashboard send "Please visit link to view dashboard" or Textual Answer "Your Interpretation of Answer"
+""".strip()
+
+if "bot" not in st.session_state:
+    st.session_state.bot = Agent(system_prompt=prompt, known_actions=known_actions)
+
+st.set_page_config(layout="wide")
+st.title("Customer Data Analysis")
+
+if "logs" not in st.session_state:
+    st.session_state.logs = ""
+
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if query := st.chat_input("Enter your query about the dataset"):
+    st.session_state.messages.append({"role": "user", "content": query})
+    with st.chat_message("user"):
+        st.markdown(query)
+    st.session_state.logs = ""
+    with st.spinner("Generating response..."):
+        st.session_state.bot.query(query)
+
+    answer_match = re.search(r"Answer:", st.session_state.logs)
+
+    if answer_match:
+        answer_end_index = answer_match.end()
+        subsequent_text = st.session_state.logs[answer_end_index:].strip()
+    else:
+        st.warning("No answer found in the generated response.")
+
+    with st.chat_message("assistant"):
+        url_pattern = r"(https?://[^\s]+)"
+        url = re.findall(url_pattern, subsequent_text)
+        if url:
+            components.iframe(src=url[0], width=800, height=600)
+            st.write(subsequent_text)
+        else:
+            st.success(subsequent_text)
+    st.session_state.messages.append({"role": "assistant", "content": subsequent_text})
+
+with st.sidebar:
+    with st.expander("Logs"):
+        st.code(st.session_state.logs)
+    st.title("Dataset Metadata")
+    with st.expander("Metadata"):
+        st.write("Columns:", metadata["columns"])
+        st.write("Dtypes:", metadata["dtypes"])
+        st.write("Shape:", metadata["shape"])
+    st.write("Sample Data:")
+    st.write(df.head())
+
+
+# TODO - Add Clear Button

code.py

@@ -0,0 +1,22 @@
+import streamlit as st
+import pandas as pd
+import plotly.express as px
+from datetime import datetime
+
+def load_data():
+    df = pd.read_csv('./global_superstore_2016.csv')
+    df['Order Date'] = pd.to_datetime(df['Order Date'])
+    df['Quarter'] = df['Order Date'].dt.to_period('Q')
+    return df
+
+df = load_data()
+df_us = df[df['Country'] == 'United States']
+
+df_us_pnl = df_us.groupby('Quarter')[['Sales', 'Profit', 'Shipping Cost', 'Discount']].sum().reset_index()
+df_us_pnl['Gross Profit'] = df_us_pnl['Sales'] - df_us_pnl['Discount']
+df_us_pnl['Net Profit'] = df_us_pnl['Gross Profit'] - df_us_pnl['Shipping Cost']
+
+df_us_pnl = df_us_pnl.sort_values(by='Quarter', ascending=False).head(6)
+
+st.title("P&L Table by Quarter for United States")
+st.write(df_us_pnl)

global_superstore_2016.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:703a92536939a818fdb138fcd21ebdc2f2ad5184470a88d1d91b431d77907a41
+size 13750551

requirements.txt

@@ -0,0 +1,6 @@
+streamlit
+openai
+pillow
+plotly
+seaborn
+matplotlib