Every month for 2018, we will challenge you to work with a new dataset. These challenges will range in difficulty, filesize, and analysis required. If you feel a challenge is too difficult for you this month, it's likely next round will have better prospects in store.
Reddit Gold will be given to the best visual, based off of these criteria. Winners will be announced in the sticky in next month's thread. If you are going to compete, please follow these criteria and the Instructions below carefully:
Use the dataset below. Work with the data, perform the analysis, and generate a visual. It is entirely your decision the way you wish to present your visual.
(Optional) If you desire, you may create a new OC thread. However, no special preference will be given to authors who choose to do this.
Make a top-level comment in this thread with a link directly to your visual (or your thread if you opted for Step 2). If you would like to include notes below your link, please do so. Winners will be announced in the next thread!
We have a special ruleset for commenting in this thread. Please review them carefully before participating here:
All top-level replies must have a related data visualization, and that visualization must be your own OC. If you want to have META or off-topic discussion, a mod will have a stickied comment, so please reply to that instead of cluttering up the visuals section.
If you're replying to a person's visualization to offer criticism or praise, comments should be constructive and related to the visual presented.
Personal attacks and rabble-rousing will be removed. Hate Speech and dogwhistling are not tolerated and will result in an immediate ban.
Moderators reserve discretion when issuing bans for inappropriate comments.
For a list of past DataViz Battles, click here.
Hint for next month: Rainbow
Want to suggest a dataset? Click here!
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A place for visual representations of data: Graphs, charts, maps, etc. DataIsBeautiful is for visualizations that effectively convey information. **Aesthetics are an important part of information visualization, but pretty pictures are not the aim of this subreddit.**
A post must be a data visualization.
[OC] posts must state the data source and tool(s) used in a comment. Only tag a post as [OC] if you made it yourself
Requests and questions must include a visualization. More info.
No infographics or other unautomated diagrams. Infographic vs. Visualization.
Post titles must describe the data plainly without using sensationalized headlines. Clickbait posts will be removed.
Please read through our posting guidelines if you are new to posting on DataIsBeautiful.
If you want to post something related to data visualization but it doesn't fit the criteria above, consider posting to one of the following subreddits.
Data_IRL: Feeling the need to be hilarious? Go here. Data.
SampleSize: Conduct and share surveys
Datasets: Request and share data sets
DataVizRequests: Request a visualization to be made from a dataset.
Visualization: Discuss and critique the design and construction of information visualizations
MapPorn: Share maps, map visualizations, etc.
Infographics: Share infographics and other unautomated diagrams
WordCloud: Specifically for sharing word clouds
Tableau: Share and discuss visualizations made with Tableau software
FunnyCharts: Share funny graphs and charts
U.S. Data is Beautiful: for those of us who simply can't wait for Thursdays
MathPics: Share pictures and visualizations of mathematical concepts
RedactedCharts: Try to guess what a chart is about without the labels
Statistics: For all questions and articles related to statistics