My first bivariate choropleth map in python, many thanks to Andrew Hamilton who wrote a great tutorial on how to create the bivariate colour map (https://t.co/NSpYGmR5hP).
Full code behind the map available here: https://t.co/FgblLOjXy1
#30DayMapChallenge catchup continued – Day25 Two colours
Mapping meat consumption versus GDP per capita. And yes – meat consumption tends to rise when richer. There are a few exceptions but no real outliers.
Data via @OurWorldInData, map made in python #matplotlib
TIL that @GitHub has added a new feature to GitHub-Flavored Markdown to adapt blockquotes to Notes and Warnings (also known as "admonitions")
Syntax is super simple:
> **Note**
> This is a note
> **Warning**
> This is a warning
https://t.co/RROSohtLqZ
Just found the ‘merge_omni_with_directional()’ method of rmsp’s experimental variogram implementation. Use the more stable omnidirectional variogram to define short scales. Use directional variograms for longer ranges. #gamechanger@resmodsol
October 30, 1986, Luis W. Alvarez (1911-1988) of UC Berkeley wins the Nobel Prize in Physics 🥇 Together with his son he promoted the "impact-theory" to explain the mass extinction 66 million years ago 🦖☄
https://t.co/YOGMGMdV1u
6 guides I use to find the best chart:
1. Financial Times Visual Vocabulary
2. Chart Guide Chart Chooser
3. The Data Visualisation Catalogue
4. The Tableau Chart Catalog
5. The Data Viz Project
6. The Visualization Universe
https://t.co/eWIYqesgqM