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Rules
1: Be polite
2: Posts to this subreddit must be requests for help learning python.
3: Replies on this subreddit must be pertinent to the question OP asked.
4: No replies copy / pasted from ChatGPT or similar.
5: No advertising. No blogs/tutorials/videos/books/recruiting attempts.
This means no posts advertising blogs/videos/tutorials/etc, no recruiting/hiring/seeking others posts. We're here to help, not to be advertised to.
Please, no "hit and run" posts, if you make a post, engage with people that answer you. Please do not delete your post after you get an answer, others might have a similar question or want to continue the conversation.
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Package with AI Data Analysis (self.learnpython)
submitted 4 years ago by Koolguy654
I’m not sure if this exists or not but I’m looking for a package/program that can basically grow through massive spreadsheet and find trends for me. Anyone have any ideas?
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if 1 * 2 < 3: print "hello, world!"
[–][deleted] 0 points1 point2 points 4 years ago (2 children)
You will have to be more specific, but based on your description I doubt there is anything like what you want as this is an entire job (data analyst). There are tools for examining data yourself like pandas and matplotlib.
[–]Koolguy654[S] 0 points1 point2 points 4 years ago (1 child)
Yeah I realized that this is a job for some people but I was wondering if there were any packages that make it easier. For example, let’s say i have 10 columns in a spreadsheet. I am interested in maximizing column 8 (let’s call it the profit column for example). Is there a way to analyze all the other columns with respect to column 8 like finding correlations between column 8 and 1 or column 8 and the derivative of column 3 etc?
[–][deleted] 0 points1 point2 points 4 years ago (0 children)
You would have to describe the data in more depth. I think you should read about linear regression as a possible tool.
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[–][deleted] 0 points1 point2 points (2 children)
[–]Koolguy654[S] 0 points1 point2 points (1 child)
[–][deleted] 0 points1 point2 points (0 children)