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:
We have a special ruleset for commenting in this thread. Please review them carefully before participating here:
For a list of past DataViz Battles, click here.
Hint for next month: Geriatric
Want to suggest a dataset? Click here!
Anybody can post a Dataviz-related question or discussion in the biweekly topical threads. (Meta is fine too, but if you want a more direct line to the mods, click here.) If you have a general question you need answered, or a discussion you'd like to start, feel free to make a top-level comment!
Beginners are encouraged to ask basic questions, so please be patient responding to people who might not know as much as yourself.
Want to suggest a biweekly topic? Click here.
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