Dataisbeautiful

We love that submissions come from all over the world and that we get exposed to interesting data and visualizations that we otherwise never would. On top of the dataisbeautiful submissions, dataisbeautiful, we often enjoy reading through the comments because many subreddit members leave great, actionable feedback for the original poster, dataisbeautiful.

If someone submits a visualization they created themselves, the rules require them to put "[OC]" in the title of the submission, and to identify the source of data and software tool they used to create it. In January , Eleanor Peake noted that, because the subreddit had received so many submissions by Tinder users plotting their experiences on the app, one Reddit user set up a separate subreddit dedicated entirely to Tinder-related data visualizations. Individual posts in the subreddit have also been reported on by the National Post [9] and Vice. Contents move to sidebar hide. Article Talk. Read Edit View history.

Dataisbeautiful

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Overall, dataisbeautiful, this data visualization is really simple, but it is very well executed. We are always impressed by the creativity and dedication of the dataisbeautiful community on the subreddit.

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If someone submits a visualization they created themselves, the rules require them to put "[OC]" in the title of the submission, and to identify the source of data and software tool they used to create it. In January , Eleanor Peake noted that, because the subreddit had received so many submissions by Tinder users plotting their experiences on the app, one Reddit user set up a separate subreddit dedicated entirely to Tinder-related data visualizations. Individual posts in the subreddit have also been reported on by the National Post [9] and Vice. Contents move to sidebar hide. Article Talk. Read Edit View history. Tools Tools.

Dataisbeautiful

Published on March 11, by Dr. Randal S. Unfortunately, it was difficult to parse out mentions of the "R" language with the n-gram analysis, so we'll have to use ggplot2 as a proxy. If programming isn't your forte, Tableau is a much better option than Excel. I was also curious about temporal trends in library usage, so I grouped the tool mentions by year and plotted them below. GUI-based visualization tools such as Tableau and Gephi are seeing steady growth, whereas Python and matplotlib oddly seem to be waning in relative popularity. We'll have to revisit these trends come Hopefully that answers all of your data visualization tool-related questions!

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Link to Original Reddit Post. Overall, this data visualization is really simple, but it is very well executed. Further, the labels in the legend are a little janky compared to the clean design of the rest of the visualization. However, this visualization suffers a bit in its attempt to communicate this information clearly. Even better, it makes for great party trivia. Overall, pretty solid job and another interesting view on the age of the United States congress. Download as PDF Printable version. Overall, a great idea for a data visualization and kudos to Reddit User academiaadvice for taking a crack at a difficult graphic! Matt Talbot. On top of the great submissions, we often enjoy reading through the comments because many subreddit members leave great, actionable feedback for the original poster. The design is clear, it is relatively easy to understand, and the data is interesting. So, at first glance, Detroit sticks out as the biggest decline, but that is only on an absolute number basis, not on a percentage basis. The Next Web. You have joined our waitlist.

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New Statesman. Matt Talbot. Gizmodo Australia. Do they have a place in business meetings? In addition to how interesting the data is, it is pretty immediately clear what is represented in this visualization thanks to the clear title, data labels, and sources cited. We love that there is a dark background for the geographic area outside of Texas, which makes the state outline really pop. Level up your skills Check out our latest guide. While there are many cities that are growing like crazy in the US, there are others that are declining significantly. How many slides does it take to tell a complete story? The design is clear, it is relatively easy to understand, and the data is interesting. Article Talk. A crisp, black background with bright and distinct colors for each actor really helps the visualization pop. Even better, it makes for great party trivia. Overall, this data visualization is really simple, but it is very well executed.