DON'T DO THIS: Revealing biggest mistakes in data visualization 📈
🧩 Data visualization catalogue 👉 https://datavizcatalogue.com/
📚 Storytelling with Data 👉 https://amzn.to/3EvbS83
👩🏻💻 Visual Cinnamon 👉 https://www.visualcinnamon.com/
📈 Nathan Yau's blog 👉 https://flowingdata.com/
🌐 Andy Kurk's blog 👉 https://www.visualisingdata.com/
💡 Example data storytelling 👉 https://nbremer.github.io/Chord-Diagram-Storytelling/
📊 Data Visualization with Tableau 👉 https://imp.i384100.net/n15XWR
Hi data nerds! 👋 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 😉.
I hope you enjoy this video 😄. Let me know if I missed any important mistakes in the comment below 👇
🔑 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
👩🏻💻 COURSES & RESOURCES
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv
🙋🏻♀️ LET'S CONNECT!
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🤓 Join my Discord server: https://discord.gg/SK7ZC5XhcS
📩 Newsletter: https://thu-vu.ck.page/profile
✍ Medium: https://medium.com/@vuthihienthu.ueb
🔗 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
Видео DON'T DO THIS: Revealing biggest mistakes in data visualization 📈 канала Thu Vu data analytics
📚 Storytelling with Data 👉 https://amzn.to/3EvbS83
👩🏻💻 Visual Cinnamon 👉 https://www.visualcinnamon.com/
📈 Nathan Yau's blog 👉 https://flowingdata.com/
🌐 Andy Kurk's blog 👉 https://www.visualisingdata.com/
💡 Example data storytelling 👉 https://nbremer.github.io/Chord-Diagram-Storytelling/
📊 Data Visualization with Tableau 👉 https://imp.i384100.net/n15XWR
Hi data nerds! 👋 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 😉.
I hope you enjoy this video 😄. Let me know if I missed any important mistakes in the comment below 👇
🔑 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
👩🏻💻 COURSES & RESOURCES
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv
🙋🏻♀️ LET'S CONNECT!
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🤓 Join my Discord server: https://discord.gg/SK7ZC5XhcS
📩 Newsletter: https://thu-vu.ck.page/profile
✍ Medium: https://medium.com/@vuthihienthu.ueb
🔗 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
Видео DON'T DO THIS: Revealing biggest mistakes in data visualization 📈 канала Thu Vu data analytics
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Exploratory Data Analysis on Covid-19 Dataset | Data Profiling & Visualization](https://i.ytimg.com/vi/IjLRk2Q_A0U/default.jpg)
![Is That Job Worth Taking? // Insights From 5 Years In Data Science](https://i.ytimg.com/vi/0srU1L8wL0U/default.jpg)
![🤔How to Stand Out as a Junior Data Scientist/ Data Analyst](https://i.ytimg.com/vi/85X8D0-5mfc/default.jpg)
![🤦🏻♀️ Biggest Mistakes Aspiring Data Scientists Make](https://i.ytimg.com/vi/nNfco7k7Hi0/default.jpg)
![Moving Abroad, Data Science Careers, Job Searching: 60K subs Q&A](https://i.ytimg.com/vi/JsZiFysJS1U/default.jpg)
![Data Science Career, Work-life Balance, Study: 15K Sub Q&A](https://i.ytimg.com/vi/lkMh1g41drk/default.jpg)
![40 Data Science Tips I Wish I Knew Sooner](https://i.ytimg.com/vi/3736Pd_hwFQ/default.jpg)
![ChatGPT + Jupyter Notebook = Mindblowing! 🤩](https://i.ytimg.com/vi/l2YU8QuXiTM/default.jpg)
![Why I went back to school to study Computer Science (despite having a 'good' job)👩🏻💻](https://i.ytimg.com/vi/8PYJFSGlmmQ/default.jpg)
![Data Analyst Career Transition: TOP 5 SKILLS (2022)](https://i.ytimg.com/vi/ir2uJg4DF4k/default.jpg)
![Doing Data Analysis on Sensitive Data (ft. Oblivious)](https://i.ytimg.com/vi/EzVIkHQWnhc/default.jpg)
![Python Web-scraping with Selenium vs Scrapy vs BeautifulSoup | Witcher project ep. #1](https://i.ytimg.com/vi/RuNolAh_4bU/default.jpg)
![Math for Machine Learning and Data Science Specialization Review | Why You Need to Learn Math 🤔](https://i.ytimg.com/vi/JPHS10dt_CY/default.jpg)
![Is It Too Late To Become a Data Analyst? | CareerFoundry Webinar](https://i.ytimg.com/vi/qwQppK3yJvM/default.jpg)
![Awesome FREE cheat sheets for learning SQL & Python](https://i.ytimg.com/vi/qPxPoRNIUZk/default.jpg)
![Top Courses to Learn Data Science Skills FAST!](https://i.ytimg.com/vi/ho9vNL4MYZ8/default.jpg)
![Best Data Science Books for Beginners 📚](https://i.ytimg.com/vi/uFTd2b23GvI/default.jpg)
![👩💻 Learn Data Analyses and Statistics Faster: Best Visual Learning Resources](https://i.ytimg.com/vi/XAoZbtIsgU0/default.jpg)
![Data Analysis: How Much STATISTICS Do You Need to Know?](https://i.ytimg.com/vi/Kq5iPtAc_3I/default.jpg)
![Roadmap for Transitioning to Data Analytics in 2023](https://i.ytimg.com/vi/N1UMycRJbAw/default.jpg)