Datasets:

SocialGrep

/

the-reddit-dataset-dataset

like 3

1comment

hxt3lrw

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sx2d6e/the_open_industrial_data_project_oil_gas_industry/hxt3lrw/

Thanks for this! Saving it for later

1comment

hxt3ckj

2r97t

datasets

https://old.reddit.com/r/datasets/comments/svjt73/request_for_dataset_of_images_of_sea_sponges/hxt3ckj/

Hi, did you find any such image datasets? I only found textual datasets

1comment

hxt36mg

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sxnp83/explaining_what_epochs_batches_datasets_and_loss/hxt36mg/

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1comment

hxt2mks

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sxapzp/how_can_i_get_this_dataset_to_show_the_proper/hxt2mks/

So I was able to figure it out, but I don't think I did it in the most efficient way possible. What I did was make a whole other data frame using the same URL request as the initial one, however this time instead of 'features', I used 'fieldAliases'. I then took that row from the second dataframe and assigned it as the column names for the initial dataframe. Is there a faster approach to this where I don't have to make 2 dataframes?

1comment

hxsxqn5

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sxapzp/how_can_i_get_this_dataset_to_show_the_proper/hxsxqn5/

Hmm does this not just remove the word "attribute" from the column name? When I do this I get a ValueError that says: Length mismatch: Expected axis has 36 elements, new values have 17 elements. Is there a way to assign the column names as something directly from the Json file? For example I don't want it to say "P01000", I want it to say "Arsenic Dissolved as As (µg/L)". I assuming I have to somehow access the fieldaliases dictionary but I can't figure it out

1comment

hxsi1mn

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sx2d6e/the_open_industrial_data_project_oil_gas_industry/hxsi1mn/

Wow, thanks !

1comment

hxsa31q

2r97t

datasets

https://old.reddit.com/r/datasets/comments/mnf0ip/looking_for_a_job_postings_dataset_please_help/hxsa31q/

Hey, were you able to locate this dataset? I'm working on a similar project and this would help a lot!

1comment

hxs2v8p

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sx2d6e/the_open_industrial_data_project_oil_gas_industry/hxs2v8p/

Saving for later…

1comment

hxs2sig

2r97t

datasets

https://old.reddit.com/r/datasets/comments/qohgbh/looking_for_a_jokesperminute_dataset_for_comedy/hxs2sig/

You're welcome 😁

1comment

hxs2qum

2r97t

datasets

https://old.reddit.com/r/datasets/comments/qohgbh/looking_for_a_jokesperminute_dataset_for_comedy/hxs2qum/

Thank you!

1comment

hxre4qf

2r97t

datasets

https://old.reddit.com/r/datasets/comments/rkgnl4/selfpromotion_sp_500_stock_and_company_data_daily/hxre4qf/

Hey, Can I know how you wrote the scraper for this? Like what did you use and what is the website that you are scraping it from?

1comment

hxrba8j

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sxapzp/how_can_i_get_this_dataset_to_show_the_proper/hxrba8j/

df.columns = [col.replace("attributes.", "") for col in df.columns]

1comment

hxr9w71

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sxapzp/how_can_i_get_this_dataset_to_show_the_proper/hxr9w71/

After more putzing around I was able to figure out that CSV is the absolute incorrect choice here haha. I was then able to stumble my way into the best results I've gotten so far thanks to a post on stack exchange which basically just let me copy paste the code here: import requests import json import pandas as pd data= requests.get("URL here") json_data = data.json() pd.json_normalize(json_data["features"]) However when I do this, the column names in the dataframe are still incorrect and show things like attributes.COUNTY instead of County. I think what I want it to display is the values in fieldAliases in the JSON file here https://gisdata-njdep.opendata.arcgis.com/datasets/ambient-metals-of-new-jersey/api But I'm not able to figure out how to do that. Any guidance?

1comment

hxqv93d

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swo5h4/looking_for_interesting_automotive_datasets/hxqv93d/

Wow that is great, thank you!

1comment

hxqjthg

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sx4bar/what_are_some_usecases_of_a_mobile_app_screenshot/hxqjthg/

Would be interesting to pull apps that are top rated / have highest frequency of downloads and see if you can train to see what similar features or UI elements are the same. Just a thought but niche and nice project to set out on — maybe you’ll stumble upon what features make an app great!

1comment

hxq8g01

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swo5h4/looking_for_interesting_automotive_datasets/hxq8g01/

[The Vehicle Energy Dataset](https://github.com/gsoh/VED) might be interesting

1comment

hxq0wkb

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swxon0/aircraft_accidents_failures_hijacks_dataset/hxq0wkb/

This reminds me of my first data science project. I took the bird strike data from across the United States, the type where a bird hits a plane or gets sucked through an engine. I found out that JFK kills the most birds in the winter.

1comment

hxpvnip

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sx4bar/what_are_some_usecases_of_a_mobile_app_screenshot/hxpvnip/

There is a Twitter bot on Reddit which recognizes that a screenshot is a tweet and then find the actual tweet. Not sure if that's something that you'd classify as a valid test case for you. You can possibly expand on the idea for similar apps?

1comment

hxov839

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swyhms/looking_for_a_spatial_telemetry_dataset/hxov839/

So theres data from bike hire places. Picked up here dropped off there. But that is not exact a->b route. bikes in general [https://www.reddit.com/r/datasets/search/?q=bike&restrict\_sr=1&sr\_nsfw=](https://www.reddit.com/r/datasets/search/?q=bike&restrict_sr=1&sr_nsfw=) helsinki [https://www.reddit.com/r/datasets/comments/et9iof/dataset\_helsinki\_bike\_trips/](https://www.reddit.com/r/datasets/comments/et9iof/dataset_helsinki_bike_trips/) dublin [https://data.gov.ie/dataset/dublinbikes-api](https://data.gov.ie/dataset/dublinbikes-api) ​ Dublin tram gps data [https://www.reddit.com/r/datasets/comments/s01asw/historical\_data\_set\_of\_dublins\_tram\_real\_time/](https://www.reddit.com/r/datasets/comments/s01asw/historical_data_set_of_dublins_tram_real_time/) ​ Big list of bike and scooter apis here [https://www.reddit.com/r/datasets/comments/cn92f4/documentation\_of\_scooter\_bike\_sharing\_apis/](https://www.reddit.com/r/datasets/comments/cn92f4/documentation_of_scooter_bike_sharing_apis/)

1comment

hxnzgso

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swh25t/looking_for_copypasta_or_4chan_post_dataset/hxnzgso/

I don’t know about datasets but most boards have archives, some are available for download. Just go there and ask.

1comment

hxnn7ut

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swfw3j/looking_for_normally_distributed_biological_data/hxnn7ut/

you can check out PhysioNet

1comment

hxnikaq

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swh25t/looking_for_copypasta_or_4chan_post_dataset/hxnikaq/

That's technically an option but I'd much rather use an already existing dataset because ideally i want posts from a long time ago.

1comment

hxn9a7q

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swfw3j/looking_for_normally_distributed_biological_data/hxn9a7q/

Height and weight are available from NHANES: https://wwwn.cdc.gov/Nchs/Nhanes/2015-2016/BMX_I.htm

1comment

hxn7m7f

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swo5h4/looking_for_interesting_automotive_datasets/hxn7m7f/

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1comment

hxn6vkl

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swh25t/looking_for_copypasta_or_4chan_post_dataset/hxn6vkl/

Just crawl it using Beautiful Soup or something comparable.

1comment

hxn07ny

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sr3ph1/lean_six_sigma_dataset_for_process_improvement/hxn07ny/

Thanks a ton!

1comment

hxmx9wa

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swfw3j/looking_for_normally_distributed_biological_data/hxmx9wa/

One user already mentioned height and weight. IQ scores are also normally distributed, but by design.

1comment

hxmx67n

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swfw3j/looking_for_normally_distributed_biological_data/hxmx67n/

[deleted]

1comment

hxmsv5h

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swltc7/please_take_part_in_survey_our_worries/hxmsv5h/

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1comment

hxmb84c

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sr3ph1/lean_six_sigma_dataset_for_process_improvement/hxmb84c/

Bosch's production line performance dataset from Kaggle competition might be useful to work on. https://www.kaggle.com/c/bosch-production-line-performance/overview

1comment

hxm98dc

2r97t

datasets

https://old.reddit.com/r/datasets/comments/swfw3j/looking_for_normally_distributed_biological_data/hxm98dc/

If you don't care about what data you're working with, height and weight data is normally distributed. You can google height and weight dataset and I'm sure you'll find one you like?

1comment

hxm5lkd

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sw5sg4/need_thesis_topic_for_data_science_particularly/hxm5lkd/

Prediction of what is going to get him a high grade on his thesis 😂

1comment

hxkfixc

2r97t

datasets

https://old.reddit.com/r/datasets/comments/q0qsh9/a_free_financial_news_dataset_going_back_from/hxkfixc/

Those two could be useful, altough it's really hard to find good datasets for free: [https://www.kaggle.com/miguelaenlle/massive-stock-news-analysis-db-for-nlpbacktests](https://www.kaggle.com/miguelaenlle/massive-stock-news-analysis-db-for-nlpbacktests) and [https://www.kaggle.com/gennadiyr/us-equities-news-data](https://www.kaggle.com/gennadiyr/us-equities-news-data). Also [this](https://github.com/philipperemy/financial-news-dataset/network/members) github repo contains the entire reuters news dataset. It has been removed for copyright reasons but forks still exist. If you want to have the most complete dataset, look at the [historical news endpoint at iex](https://iexcloud.io/docs/api/#historical-news). It only allows for 5000 free news articles per month though and is paid after that.

1comment

hxker3a

2r97t

datasets

https://old.reddit.com/r/datasets/comments/lhls5s/looking_for_dataset_with_all_10000_cryptopunks_by/hxker3a/

Thanks!!

1comment

hxk536j

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sw5sg4/need_thesis_topic_for_data_science_particularly/hxk536j/

Segmentation and prediction of what? As in segmenting images so that people in them are separated out. Or predicting who is going to win the nextworld cup?

1comment

hxk52g1

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sw5sg4/need_thesis_topic_for_data_science_particularly/hxk52g1/

We're not doing your coursework for you... You must have some interests less vague than two entire subject areas.

1comment

hxisrfj

2r97t

datasets

https://old.reddit.com/r/datasets/comments/svkrt8/crisiseventsorg_international_crisis_behaviors/hxisrfj/

This is super cool!

1comment

hxhaq66

2r97t

datasets

https://old.reddit.com/r/datasets/comments/svjt73/request_for_dataset_of_images_of_sea_sponges/hxhaq66/

With friends like you who needs anemones

1comment

hxgyoe1

2r97t

datasets

https://old.reddit.com/r/datasets/comments/svjt73/request_for_dataset_of_images_of_sea_sponges/hxgyoe1/

Assuming you have seen this as it is one of the first results on Google, but if not this dataset from [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Demospongiae) might be of use. Otherwise there seemed to be some coral datasets on Kaggle, but none for sea sponges. I also found [SponGIS](https://spongis.org/) who seem to be mapping sea sponge data, you could contact them and see if they share their data for educational purposes. I'm not sure they'll have an image dataset though.

1comment

hxgfxw7

2r97t

datasets

https://old.reddit.com/r/datasets/comments/svkrt8/crisiseventsorg_international_crisis_behaviors/hxgfxw7/

Corresponding author here if anyone has any questions.

1comment

hxgfvsz

2r97t

datasets

https://old.reddit.com/r/datasets/comments/svkrt8/crisiseventsorg_international_crisis_behaviors/hxgfvsz/

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1comment

hxfmjb0

2r97t

datasets

https://old.reddit.com/r/datasets/comments/eyc3iw/oc_359_annotated_6sided_dice_faces_160_images_in/hxfmjb0/

[removed]

1comment

hxffd4j

2r97t

datasets

https://old.reddit.com/r/datasets/comments/qohgbh/looking_for_a_jokesperminute_dataset_for_comedy/hxffd4j/

Drew Gooden on Youtube did a really wonderful couple of these. The one I'm linking is his second & sums up his first one and then ramps it up by a ton. It's pretty hecking great. https://youtu.be/0SIIRGgWVb8

1comment

hxf9ixb

2r97t

datasets

https://old.reddit.com/r/datasets/comments/n777o8/is_there_any_image_dataset_on_vegetables_and/hxf9ixb/

[removed]

1comment

hxf8e8i

2r97t

datasets

https://old.reddit.com/r/datasets/comments/o2h9ca/looking_for_sales_related_email_dataset/hxf8e8i/

Have you found any yet? I need the same.

1comment

hxf2vur

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sut3x7/this_data_set_contains_everything_necessary_to/hxf2vur/

Oh man this would be awesome as a VR environment

1comment

hxf0s96

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sv8mpf/help_on_dataset_tables_with_blank_fields/hxf0s96/

Ahh yes! This is what I'm looking for thank you for the response

1comment

hxew396

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sv8mpf/help_on_dataset_tables_with_blank_fields/hxew396/

Are you asking how to forward-fill? With pandas (Python) it's only one line of code, but it's pretty easy to find implementations in other languages. With pandas you can use .fillna(method='ffill') and it'll forwardfill the whole dataframe. As a quick example: import numpy as np import pandas as pd df = pd.DataFrame({'Brand':['Brand1',np.NaN, np.NaN, 'Brand2', np.NaN, np.NaN]}) df['SKU'] = ['a', 'b', 'c', 'd', 'e', 'f'] df['Product'] = ['Description1', np.NaN, np.NaN, 'Description2', np.NaN, np.NaN] print(df) gives: |Brand|SKU|Product| |:-|:-|:-| |Brand1|a|Description1| ||b|| ||c|| |Brand2|d|Description2| ||e|| ||f|| Then: df = df.fillna(method = 'ffill') print(df) gives: |Brand|SKU|Product| |:-|:-|:-| |Brand1|a|Description1| |Brand1|b|Description1| |Brand1|c|Description1| |Brand2|d|Description2| |Brand2|e|Description2| |Brand2|f|Description2|

1comment

hxdrrov

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sut3x7/this_data_set_contains_everything_necessary_to/hxdrrov/

I just saw this posted on the aswf slack today!

1comment

hxdkljo

2r97t

datasets

https://old.reddit.com/r/datasets/comments/ssfy1q/statistics_on_lottery_numbers_picked_by_hand/hxdkljo/

sorry i mean in a row in the sense of 33,34,35 which looks ot random to people even though it is just as random as 2,17,34

1comment

hxctwr3

2r97t

datasets

https://old.reddit.com/r/datasets/comments/ssfy1q/statistics_on_lottery_numbers_picked_by_hand/hxctwr3/

> They dont pick two or three numbers in a row as these dont look random. If I recall correctly, [a drawn number is eliminated from the pool of next numbers](https://www.youtube.com/watch?v=CdJT_cVkApo) as it is not tossed back into the mix. So it would be foolish to pick the same number due to impossibility of occurance?

1comment

hxcphlo

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sq7jw2/recommendation_for_venture_capital_datasets/hxcphlo/

Yup, sorry about it. Some schools have access to VC/PE databases, but very few at that. Good luck with your project. FWIW I think using firm characteristics to get at VC outcomes is a very interesting idea if you can ever find a data source!

1comment

hxcjj66

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sus2wp/nba_individual_player_stats_for_every_game/hxcjj66/

https://github.com/saiemgilani/hoopR

1comment

hxccu6b

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sq7jw2/recommendation_for_venture_capital_datasets/hxccu6b/

You are right, I have had to change my project as I couldn't afford to spend my annual student load to get access to it 😝

1comment

hxbi1er

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hxbi1er/

So you definitely need the leading "\" before the $. Based on what you're showing, I might also change it to \$([A-Z]{1,4})(\w) Which will only match capital letters for the ticker symbol. The second group was also capturing more letters than required by your use case so you don't need the {1,3}.

1comment

hxbhfrn

2r97t

datasets

https://old.reddit.com/r/datasets/comments/pp3v25/looking_for_public_datasets_on_baseball/hxbhfrn/

Go look in the mirror freak

1comment

hxbdqd0

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hxbdqd0/

Thanks for your help boss, looks like this fixed it: "\\$...." and "$0 "

1comment

hxbddg3

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hxbddg3/

Okay so couple things 1) When I tried to put $(\[A-z\]{1,4})(\\w{0,3}) in the find box and put \\1 \\2 in the replace box, while making sure regular expression is checked here is what it showed: [https://i.imgur.com/ezBXzB7.png](https://i.imgur.com/ezBXzB7.png) Guessing probably I'm doing smth wrong? Second, here is a sample of my data below so you can have an idea EX 1: $UVXY cld move nicely! RSI/ADX looks primed! Chart cld see $20 quick! GL ???? $OSCI $OWUV $IGEX $ICOA $NICH $APSI116DB@DBTradePicks·22hThis is the same thing I said today ?? Here is another: EX 2: WildRhino·10h $APSIQuote TweetTHE TRADING JOKER™ As you see its the ticker $APSI and in both instances its stuck to another words or another digit so I want to be able to look at every line > and anything that starts with "$" should be skipped 4 characters to conserve the ticker symbol and then a space should be added to separate the ticker from the word or digit its stuck too if that makes sense. Edit: So looks like this got it done using notepad++ and regex $\\$...." and "$0 "

1comment

hxbb123

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sui9ls/do_covid_deaths_correlate_to_party_affiliation/hxbb123/

I do wonder if since the Census was done during 2020 (when vaccines were not widely available), if the redistricting will be done with data from before deaths by covid began to be correlated by party affiliation.

1comment

hxb9sxw

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sui9ls/do_covid_deaths_correlate_to_party_affiliation/hxb9sxw/

I doubt it will have an effect. Any demographic changes can be countered easily with gerrymandering.

1comment

hxb9i7u

2r97t

datasets

https://old.reddit.com/r/datasets/comments/st5n7i/need_a_dataset_with_at_least_20_pairs_of_data_for/hxb9i7u/

No problem, always happy to help :)

1comment

hxb1wen

2r97t

datasets

https://old.reddit.com/r/datasets/comments/st5n7i/need_a_dataset_with_at_least_20_pairs_of_data_for/hxb1wen/

i know i already replied but i was literally able to finish my project because of u thank u sm

1comment

hxayi7y

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sui9ls/do_covid_deaths_correlate_to_party_affiliation/hxayi7y/

Quick responses here: NPR recently did something similar. I would suggest starting there. Article is titled “Pro-Trump counties now have far higher COVID death rates. Misinformation is to blame” Second, I would check out CDC Wonder. You’ll need to do some research into the MCOD and UCOD codes, and there is an issue with small counts being suppressed (<10), but it could be used for larger counties. I don’t think it goes down to the census tract and if it did, you’d likely run into the suppression issue.

1comment

hxad74c

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sqx538/nfl_playerteam_statistics_datasheets_galore/hxad74c/

This is really neat! You may be interested in checking out nflfastr.com they do some pretty impressive work on stuff related to this

1comment

hxa2l8z

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sui9ls/do_covid_deaths_correlate_to_party_affiliation/hxa2l8z/

Johns Hopkins is an obvious source. They have broken data down to at least county level. Census tract would be better. You’ll probably need to combine with an additional source to correlate with congressional district and party affiliation. Problems: reporting probably is mostly location of treatment rather than by residence location. Fudging for % of party affiliation unless you limit to nearly one-party locales. Reporting delays, ambiguity over actual dates though probably not a big issue for this. The general poor Balkanized state of reporting with every locale following their own standards cause ‘Murica. This is the map entry point but explore you can get raw data sets. https://coronavirus.jhu.edu/map.html

1comment

hx9ydw3

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9ydw3/

Actually is it always 24H after? You could get away with find/replace "24H" to " 24H" and just avoid the regex all together. If there's only a handful of suffixes that you need to add the space to then this will be quite quick

1comment

hx9u456

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9u456/

Theirs is first capturing something that starts with “$”, has a string of between 1 and 4 letters, upper or lower case (the ticker) then they capture every word character (letter or number) after that into capture group 2. Then you replace with \1”space”\2 to get what you’re asking for. You need to also make sure regex is enabled in your search in notepad++ or it won’t work. Internet search regex and notepad++

1comment

hx9trvp

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9trvp/

\$([A-z]{1,4})(\w{0,3}) Should be in the find box. Don't forget the leading \ it's there for a reason. The replace will be something like "\1 \2" without quotes. I really don't know what your data look like and you're going to probably need some changes, so you'll have to learn at least a little regex to figure this out. You probably don't need to match new lines but it shouldn't really affect this regex

1comment

hx9trmn

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9trmn/

Use their find and my replacement above. Should work.

1comment

hx9tn3v

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9tn3v/

Thanks for the help boss Someone below posted this $(\[A-z\]{1,4})(\\w) looks lkinda similar to what you wrote but till I am confused on what to put in the "find what" and "replace with" fields, here is a screenshot below to show: https://i.imgur.com/nlq2DWl.png

1comment

hx9smpy

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9smpy/

Should I check ". Matches newline" ? Also should $(\[A-z\]{1,4})(\\w) be inserted in the find what or replace with?

1comment

hx9rp4b

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9rp4b/

I’m doing this on my phone so can’t be particularly helpful. Basically you need to capture the $symbol and the trailing (>=1) letter characters. The $ can be tricky because it needs to be escaped. Probably need something like find: “(\$\w+)(.+)” replace: “\1 \2” Again, I haven’t tried this, but it should be something similar. The parentheses say “capture this”, and the captured thing can be referenced by position I.e \1. The \$ searches for a literal “$” since $ is a special character. I can’t remember if \w matches only letters or letters and numbers.

1comment

hx9r1up

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9r1up/

\$([A-z]{1,4})(\w) It's going to be something along these lines. Regex101.com can help you refine it to your specific needs. This page seems like it'll help with using the capture groups in your replace function: https://softhints.com/notepad-regex-replace-wildcard-capture-group/

1comment

hx9qz82

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9qz82/

So I have notepad++ and looks like I need to use its regex function and as you said use the find and replace Is it a simple code for the find and replace? Anychance you can hook me up with it or is it easy enough for me to watch a couple of vids and learn it?

1comment

hx9oint

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx9oint/

Yeah looks like regex on notepad++ should do it, but I am not sure what to put in the "find what" section and what to put in the "replace with" maybe you can tell me? If not is their a source you can point me to?

1comment

hx8nm9t

2r97t

datasets

https://old.reddit.com/r/datasets/comments/c24ak4/dataset_image_classification_dataset_for_porn/hx8nm9t/

I can get you around 25k images I scraped from some nsfw subreddits if you could still use them

1comment

hx8jpvg

2r97t

datasets

https://old.reddit.com/r/datasets/comments/st39oo/dataset_for_yearly_global_cases_of_covid/hx8jpvg/

JHU has been tracking this for a long time. These dashboards [https://www.inetsoft.com/info/us\_covid\_test\_tracker\_dashboard/](https://www.inetsoft.com/info/us_covid_test_tracker_dashboard/) are based on that data. Take a look. if that's what you want, you can go to JHU to get it.

1comment

hx8ewu2

2r97t

datasets

https://old.reddit.com/r/datasets/comments/su44je/deidentified_patient_reports_datasets/hx8ewu2/

What's a patient report? [Physionet](https://physionet.org/about/database/) has a good repo of healthcare/EHR datasets. [MIMIC](https://mimic.mit.edu/docs/) 2/3/4 have free text doctors notes if that's what you're looking for, they should have close to that number of examples.

1comment

hx8723d

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx8723d/

I believe the CDC has datasets available that track that kind of stuff.

1comment

hx7zo8s

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx7zo8s/

It seems that your comment contains 1 or more links that are hard to tap for mobile users. I will extend those so they're easier for our sausage fingers to click! [Here is link number 1 - Previous text "sed"](https://www.howtogeek.com/666395/how-to-use-the-sed-command-on-linux/) ---- ^Please ^PM ^[\/u\/eganwall](http://reddit.com/user/eganwall) ^with ^issues ^or ^feedback! ^| ^[Code](https://github.com/eganwall/FatFingerHelperBot) ^| ^[Delete](https://reddit.com/message/compose/?to=FatFingerHelperBot&subject=delete&message=delete%20hx7zo8s)

1comment

hx7zmte

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx7zmte/

I’d use Sed + regex. ([sed](https://www.howtogeek.com/666395/how-to-use-the-sed-command-on-linux/) is a command line util on Linux/macOS )

1comment

hx785pt

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stga82/what_zillow_dataset_backs_their_home_values_page/hx785pt/

I hadn't figured this out. Thank you this saves me a lot of time. I will try to confirm later.

1comment

hx75ql2

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx75ql2/

I think you missed my point. Ticker symbols in some foreign markets DO have digits. So relying on the appearance of a digit wouldn’t work in those markets. Hard to help when you’ve given only a single example, with no context. At least post sample tweets. Struggling to imagine why anyone would tweet $AAPL24H Also don’t understand how you are scraping, “getting sentiment on it” and word counts without SOME kind of programming. Assumption that stock tickets are 4 characters is way wrong. I’d create a list of the tickers you are actually interested in (which could be as large a set as e.g. “all US equities”) and match against that. Python, Ruby, Perl, or TCL would be great languages that could do this in a few lines. You’re really asking in the wrong place though as this has nothing to do with datasets.

1comment

hx74vb9

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx74vb9/

I know that, but i scrape data from twitter, and sometimes the tickers come clumped with other words which makes it hard to get sentiment on it and word count

1comment

hx723iv

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx723iv/

US ticker symbols don’t have digits.

1comment

hx6nb2e

2r97t

datasets

https://old.reddit.com/r/datasets/comments/sty9kr/how_to_add_a_space_if_2_conditions_are_met_from_a/hx6nb2e/

You can do this in excel with the “Text to Columns” feature, it’s pretty intuitive. Problem is a simple 4-spaces rule will not work for every ticker in the market, I suppose it’s possible for a subset, though. Another option is to use regex with find and replace, since ticker symbols don’t have numbers. Some regex key words for you to learn are “capture groups” and “escape characters”. Plenty of tutorials online. You can then implement this in a text editor that supports regex find-and-replace such as Notepad++.

1comment

hx6aj49

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx6aj49/

If you work in R you can use scales() (from the dplyr package I think?) to turn any other dataset into its normally distributed variant Edit: its the scales package and the function is called rescale(), im just an idiot

1comment

hx5w6ga

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5w6ga/

although the spirit of the answer was good: the central limig theorem guarantees sums of randomly sampled numbers tends to normal distributions try to imagine some kind of phenomena where the number measured is a sum of various random contributions for example, i would look into total milimiters of water provided by rain in a month or year, because the total is the sum of all the rain fell during the period, and each time it rains the contribution is kind of random other examples: scores of students in a standard test: the score is the sum of correct answers, and the students will have a distribution over "correct" or "incorrect". money won at casino: total money is what players win for playing numerous times, each win being at random.

1comment

hx5vpeo

2r97t

datasets

https://old.reddit.com/r/datasets/comments/osjecd/spss_data_analysis_help_for_masters_dissertation/hx5vpeo/

Hey there, As I can you facing some problems with the Likert scale. One of my friends also faces the same problem, but he got a solution after consulting with professionals. Silver Lake Consulting or VB analytic these two consulting firms has a team of experts and will surely help you out. They provide every solution related to [**SPSS Data analysis**](https://silverlakeconsult.com/spss-data-analysis/) and with every research. In my opinion, you should consult with them and explain your problem they will surely give you a satisfying outcome.

1comment

hx5ujg8

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5ujg8/

You should be quite successful using google. If you use R you might as well have a look into the package: [https://stat.ethz.ch/R-manual/R-patched/library/datasets/html/00Index.html](https://stat.ethz.ch/R-manual/R-patched/library/datasets/html/00Index.html) They provide a lot of datasets that are often used in teaching or examples.

1comment

hx5tcsj

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5tcsj/

This is the whey

1comment

hx5ng27

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5ng27/

You are right, I probably should have clarified I was looking for real life normally distributed data sets. Thanks for the link, hopefully some of these contain a data set which I can use myself, much appreciated.

1comment

hx5nbba

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5nbba/

I will see if I can find some. Are there special search engines to find this sort of data, or will I achieve success just through google search?

1comment

hx5n91x

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5n91x/

Appreciate you sharing the data set. I probably should have specified that I am looking for data sets taken from real life, hopefully I can try and find some real height and weight data.

1comment

hx5ityq

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5ityq/

IQ scores are designed to be normally distributed. Quite easy to find as well.

1comment

hx5ayvf

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx5ayvf/

1.) How do you know what distribution the random number generator in excel uses? If I’m not mistaken, it follows a uniform distribution which means every number is equally likely, which is to say definitely not normal. 2.) Taking the log of some random distribution and assuming it’s now normal is not advisable. The data would need to exponentially distributed first for this to be applicable.

1comment

hx59jcb

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stga82/what_zillow_dataset_backs_their_home_values_page/hx59jcb/

You may have already figured this out -- it appears the Homes Values Page uses the "City" geography rather than the "Metro & U.S." geography. Select "City" under the Geography drop-down to download a dataset similar to what is shown in the Homes Values Page. I wasn't able to read and understand the entire [methodology](https://www.zillow.com/research/zhvi-methodology/), but their formula may have slightly different assumptions in calculating city vs county vs state vs metro & U.S., etc. geographies; someone more knowledgeable can correct me here.

1comment

hx4yf9l

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stnasx/how_do_i_add_a_space_before_a_specific_symbol/hx4yf9l/

https://pypi.org/project/reticker/

1comment

hx4uijo

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx4uijo/

Technically speaking, [the code in this jupyter notebook](https://colab.research.google.com/drive/1HizPk8bClbFsFn5hat-UszKnqNTAf_2C?usp=sharing) provides a normally distributed data set. The data is generated by the numpy function *np.random.normal()*, and the web address is included in this comment. The relevant code to is: import numpy as np import matplotlib.pyplot as plt mean = 0 standarDeviation = 1 numberOfSamples = 1000 data = np.random.normal(mean, standarDeviation, numberOfSamples) plt.hist(data) plt.show()

1comment

hx4u9wc

2r97t

datasets

https://old.reddit.com/r/datasets/comments/stjw48/help_finding_data_set_that_has_a_normal/hx4u9wc/

You could just create a bunch of random numbers in excel. Also you can take the natural logarithm of many datasets and that will make it close to a normal distribution. Doing this is called log transformation so technically you’d say your data is log normally distributed but that’s just details.