Analysis of ELECTION DATA with Python 2020 Election Results vs 2016 Elections
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The 2020 elections are almost over. The second round will take place tomorrow, November 29th, and whether we like it or not, voting is our duty as citizens. In this context, Kizzy decided to analyze the results of the first round and compare them with the results of the 2016 Elections. There is certainly a lot to explore, and this video can inspire you to do your own analysis. ???? Still need to learn how to code? Enroll in the Python course Do It Right 2.0 and master the fundamentals of programming, becoming able to develop in a variety of domains, including data science and artificial intelligence: https://vai.pgdinamica.com/pjc2 Useful links: ???? Code https://github.com/programacaodinamic... ???? Electoral data repository - https://www.tse.jus.br/eleicoes/estat... ???? Link to Brazil's ShapeFile by Municipalities: https://drive.google.com/drive/folder... ???? 2020 Parties: https://github.com/programacaodinamic... ???? Learn more about Kizzy's data visualization course: https://hotm.art/fRLTWKxr ???? Recommended Data Science books: https://amzn.to/2XZyxUr ???? Algorithms and Data Structures Books: https://amzn.to/3d5wK4m SetUp - Equipment: https://amzn.to/37Cg3N2 ???? Twitch Channel for lives: / pgdinamica ???? Telegram Channel to receive all videos: https://t.me/pgdinamica ???? If you like our work and find our performance on Youtube relevant, consider supporting us by becoming a member of the channel: https://www.youtube.com/programacaodi... ✉️ E-mails: – Commercial proposals: [email protected] – Other subjects: [email protected] ???????????????????????? Check out more content on our blog: / programacaodinamica ???? Join the free Programação Mais Dinâmica community: https://bit.ly/pgsparkle (download the app and join the community) TikTok: @pgdinamica ???? Follow us on Instagram: /pgdinamica ???? @kizzy_terra @hallpaz ???? Follow us on Twitter: /pgdinamica ???? @kizzy_terra @hallpaz Like Programação Dinâmica on Facebook: fb.com/pgdinamica Our repository on Github: github.com/programacaodinamica Check out the articles on Python Café: pythoncafe.com.br
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