DON'T DO THIS: Revealing biggest mistakes in data visualization πŸ“ˆ

From the creator

πŸ”₯ Receive top data science/ AI insights in your inbox πŸ‘‰ https://thu-vu.ck.page/49c5ee08f6 🧩 Data visualization catalogue πŸ‘‰ https://datavizcatalogue.com/ πŸ“š Storytelling with Data πŸ‘‰ https://amzn.to/3EvbS83 πŸ‘©πŸ»β€πŸ’» Visual Cinnamon πŸ‘‰ https://www.visualcinnamon.com/ πŸ“ˆ Nathan Yau's blog πŸ‘‰ https://flowingdata.com/ 🌐 Andy Kurk's blog πŸ‘‰ https://www.visualisingdata.com/ πŸ’‘ Example data storytelling πŸ‘‰ https://nbremer.github.io/Chord-Diagram-Storytelling/ πŸ“Š Data Visualization with Tableau πŸ‘‰ https://imp.i384100.net/n15XWR Hi data nerds! πŸ‘‹ Data visualization and storytelling make an interesting part of a data analyst/ data scientist's job. In today’s video, I’ll be walking you through some of the worst (and common) mistakes in data visualization I have encountered in my career. Designing an effective data visualization needs both art and science (perhaps more art than you would like to admit). With this video, I hope to help you avoid the most important mistakes that you might encounter daily at work, and how not to be fooled by those πŸ˜‰. I hope you enjoy this video πŸ˜„. Let me know if I missed any important mistakes in the comment below πŸ‘‡ πŸ”‘ TIMESTAMPS ================================ 0:00 - Intro 0:45 - #1 Not knowing context & audience 3:11 - #2 Choosing complex charts instead of simple charts 5:11 - #3 Misleading axes 6:02 - #4 Color overuse 🎨 7:45 - #5 Cluttered charts/ Gestalt principles 10:23 - #6 Lack of visual order 11:20 - #7 Adding text if your viz is not self-explanatory 11:59 - #8 Lack of accessibility 12:50 - #9 Showing too much information at once πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb πŸ”— All links: https://linktr.ee/thuvuanalytics As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you. #datavisualization #datascience #datanerd

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