dataisbeautiful

Dataisbeautiful

We love that submissions come dataisbeautiful all over the world and that we get exposed to interesting data and visualizations that we otherwise never would, dataisbeautiful. On top of the great submissions, we often enjoy reading through the comments because many subreddit members leave great, actionable feedback for dataisbeautiful original poster. Read on to find five visualizations from May that we assess and grade for their quality, dataisbeautiful. Link to Original Reddit Post.

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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We also like the use of a relatively dataisbeautiful measure - home price to median annual income, dataisbeautiful. This visualization is a good example of using grouping to communicate data clearly and succinctly to make it easy for the reader dataisbeautiful understand.

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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. Download as PDF Printable version.

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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We always love spending some time on Data is Beautiful and assessing the visualizations that have been shared. On average, people pull from two to six data sources to assemble a weekly or monthly performance report. What we love about this visualization is the choice to show four intervals in one graphic. Try it out for Free! Further, we think that more intentional use of coloring and shading could have helped communicate the information better. Overall, this data visualization is really simple, but it is very well executed. You have joined our waitlist. Do they have a place in business meetings? Toggle limited content width. Further, the choice of a light yellow to show the population clustering creates a really nice contrast that ensures accessibility for any view of this visualization. This data visualization makes an attempt to show which cities have declined the most from to February 14, ; 12 years ago [1]. The Next Web.

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Bravo, Philip! This data visualization makes an attempt to show which cities have declined the most from to We particularly love the use of color. We also like the use of a relatively unique measure - home price to median annual income. This visualization does suffer from a lack of cited sources on the graphic and no date period or range. A few things to nitpick: the data source for the median annual income by county should be included and the legend should also include the note that gray represents counties with no data for the analysis. Well done, Clemario! Download as PDF Printable version. Toggle limited content width. Further, there are clusters where a typical home costs 15x the median annual salary! New Statesman. Overall, pretty solid job and another interesting view on the age of the United States congress. Alien Blue MeaningCloud. We did like the dark background and strong colors, as they make the overall visualization eye-catching. What we love about this visualization is the choice to show four intervals in one graphic.

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