briansteel420 OP t1_jbbj34u wrote on March 7, 2023 at 9:19 PM

#2,181,101

Done with Python/Matplotlib. Tweets scraped with snscrape. I'd love to hear some constructive criticism on how to improve the visualization, I am very new to this. Also, if you have some fun ideas on tweet data analysis, pls let me know :)

[deleted] t1_jbbrvw0 wrote on March 7, 2023 at 10:16 PM

#2,181,520

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[deleted] t1_jbbs5yt wrote on March 7, 2023 at 10:17 PM

#2,181,536

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South_Barnacle_9760 t1_jbbsldh wrote on March 7, 2023 at 10:20 PM

#2,181,551

interesting! i wonder what event led to that bill gates dip. also elon is so embarrassing! lolol

briansteel420 OP t1_jbbtqnv wrote on March 7, 2023 at 10:28 PM

#2,181,601

Replying to South_Barnacle_9760 (#2,181,551)

It's Jan, 6th!

South_Barnacle_9760 t1_jbbu2n9 wrote on March 7, 2023 at 10:30 PM

#2,181,618

Replying to briansteel420 (#2,181,601)

oh whoa. i’m unaware of this jan 6 bill gates event. now i need to know! 👀

3K04T t1_jbbx6rw wrote on March 7, 2023 at 10:52 PM

#2,181,747

What are you measuring for the sentiment score, exactly?

1776johnross t1_jbcl63b wrote on March 8, 2023 at 1:49 AM

#2,182,809

Interesting! Horizontal grid lines (from the left y axis ticks) would be helpful for me, or at least one at 0 on the left y axis. Red/Green imply bad/good and some people can't tell the difference (colorblind). I might try showing sentiment with a black line and showing the count with a gray line or even gray area.