Data Curious 16.04.2019 - visualizing emotion, cats & dogs, and animated plots in Matplotlib
data / curious
16.04.2019
A new edition of Data Curious! In which I look at how to visualize human emotions, what cats and dogs are thinking, and animating charts in Python.
Nice one.
Read_
Visualizing emotion and a look at the data viz design process
How can we create empathy by visualizing human emotions?
I recently discovered this beautiful thesis projet on emotion visualization called Fine. You can explore an abbreviated exploration of the entire project on Medium.
Read on →
How do data viz designers go about the process of creating interactive stories?
This is a fascinating deep dive into the design process of Nadieh Bremer, freelance data viz artist, designer and coder. In this behind the scenes blog, Nadieh goes through the painstaking detail of decision making through the design process, from sketching to final code.
Explore_
Cats & Dogs
Why do cats & dogs...?
Do pretty much anything they do? This new collaboration between Nadieh Bremer (see above link on what to read this week) and Google News Labs visualizes the most popular Google searches around the strange behavior of cats and dogs.
Anwser my deepest cat/dog questions →
Analyse_
Twitter bots and US census data
Where can I find some bot data to analyze?
This trove of Trump-related Twitter bots would be a good place to start.
Bots on bots →
How can I access and analyze US census data?
The LAT Times Data Desk created a python package to make your life that much easier.
Learn_
Animated charts in Matplotlib and beautiful graphs in Altair
How can I make animated charts in Python without having to use a tool like Photoshop?
There are plenty of hacks out there for throwing together a gif through programming. But did you know that Matplotlib includes some animation functions within the package? Import matplotlib.animation as animation. Done.
How can I make consistently beautiful charts from a Jupyter Notebook?
I've recommended Altair as a Python plotting library many times before. Here's another reason to add it to your toolkit: you can create themes to store your styles and import them into any Notebook to create consistent, beautiful charts.
Spread the love.
Share this edition of Data Curious.
Say hello! I'm on:
