Best of Data & Data Viz Twitter - Week of February 27, 2023
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Hello everyone,
This is Ying from datadice. Here are this week's most interesting tweets, which include the topics:
Mobile phones market has evolved over 30 years
Violin charts interactive
F1 Data Analysis
Average Monthly Salary - Iberoamerican territories 2022
The Life Expectancy of Humans and 49 Other Animals
Fossil Fuels Since the Invasion
A summary stacked barplot of the sentiment analysis for 14 African languages
A year of reading
Enjoy your reading and share your thoughts with us!
How the mobile phones market has evolved over 30 years📲 ~ another great video graphic by @JamesEagle17 v/@VisualCap cc @BetaMoroney @enilev @tobiaskintzel @sallyeaves @Nicochan33 @jeancayeux @AkwyZ @Khulood_Almani @mikeflache @JagersbergKnut @sonu_monika
📊🎻 Violin charts interactive
Groups, customizable (data points, mean, color, tooltip, etc.)
🔗 helgasoft.github.io/echarty/galler…
#rstats #dataviz #datascience #datavisualization
During last year's quali, the engine pecking order was:
1)Ferrari: around +20hp over Merc
2)RB: around +10hp over Merc
3)Merc
The drag levels were:
1)RB: ~11% LESS drag than the Merc
2)Ferrari: ~2% LESS drag than the Merc
How did I estimate that? Read on to know👇
#F1
Hi #datafam, I'm still exploring #dataviz animations with After Effects...uffff I'm gonna practice much more!
Here something that I made early today.
"Average Monthly Salary - Iberoamerican territories 2022".
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#DataVisualization #LATAM #Learning #Salary #animation
Russian fossil fuel exports are still flowing to various nations around the world 🌏️
We've visualized the countries that have bought the most Russian fossil fuels since the invasion, showcasing the billions in revenue Russia has made from these exports: elements.visualcapitalist.com/the-countries-…
For this week's #TidyTuesday challenge, I created a summary stacked barplot of the sentiment analysis for 14 African languages.
R code: github.com/npechl/TidyTue…
Source: AfriSenti
#rstats #dataviz
My book stack #DataViz for 2022. I read 117 books in 2022, totaling 36,472 pages. 77% of the books I read were written by female authors.
I created this visualization in #RStats. Resources for learning R: schillingdatastudio.com/blog
CSV with the books: bit.ly/3S1pywd
Thank you for taking the time to read our Newsletter and happy weekend!