Data Curious (2019.08.19): Exploring the Moons of our Solar System
data / curious
2019.08.19
Hey. More data viz stuff coming at ya this week.
Be a better interactive journalist, use more ternary plots, explore our solar system, dig into the public domain.
There's lots to do in this edition of Data Curious.
See what lights you up.
Read_
Ever heard of or used ternary plots?
They're wonderful for things like elections. Nicolas Kruchten explains why.
How can I become/be a better interactive data journalist?
Evan Hensleigh and Martín González, interactive data journalists at The Economist, recently hosted an AMA on the r/dataisbeautiful subreddit about their work.
Explore_
How can word use reveal gender imbalances in the creative industry?
Nesta did a visual analysis of word use in reporting on the creative industries. I love the weaving of pronouns into the data visualizations to connect the topic closer to the charts.
How many moons are in our solar system?
I'll say this confidently: this will be the coolest thing you see all day. Explore the solar system and learn about it's many moons in this interactive story from Nat Geo.
Are men's singing voices in pop music getting higher?
The visual essay masters at The Pudding are at it again, this time analyzing the vocal range of pop music's biggest male stars over the last six decades.
Analyze_
What public works are in the public domain?
The NYPL has published a dataset of over 180,000 works in the public domain. All are available for download, and have metadata included for each.
What is the dev community up to?
Here's an older one, but StackOverflow released the data from their 2019 Developer Survey earlier this year. Dive in to visualize some of the results.
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How can I prepare text data for sentiment analysis without writing any code?
First of all, writing code can be fun! Don't be to intimidated. But also, sometimes you just want something quick and visual. Here's a tutorial on how to use a new tool called Fluidtable to remove unwanted characters, punctuation, stop words, etc. before your analysis.
How can I make creative data visualizations with p5.js?
Mike Brondbjerg published a fascinating tutorial on turning audio data into concentric arcs using Processing. If you haven't used p5.js before, it's a JavaScript implementation of the desktop software Processing, and it's great for stuff like this.
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