dataisbeautiful

Dataisbeautiful

Dataisbeautiful love that submissions come from all over the world and that we get exposed to interesting data and visualizations that we dataisbeautiful 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 the original poster. Read on to find five visualizations from May that we assess and grade for their quality.

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.

Dataisbeautiful

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On top of the great submissions, dataisbeautiful, we often enjoy reading through the comments because many subreddit members leave dataisbeautiful, actionable feedback for the original poster.

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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.

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

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Apparently we have a penchant for spotlighting visualizations that highlight the age distribution in the United States Congress, but I guess we find it interesting! Link to Original Reddit Post. There is seemingly an endless rush of articles that highlight the top growing cities in the US, but there tends to be less information about which cities are struggling and why they are struggling to grow. 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. Retrieved Apollo Imgur RedditGifts. Well done, rahsosprout! Blog About Us. The only small piece of advice we would give here is to include the sources that were used for the data in the visualization. However, this visualization suffers a bit in its attempt to communicate this information clearly. Read on to find five visualizations from May that we assess and grade for their quality. On average, people pull from two to six data sources to assemble a weekly or monthly performance report. Alien Blue MeaningCloud. Try it out for Free! Icebreakers are activities designed to lighten the mood, help individuals know each other, break down barriers.

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Perhaps a better way to visualize this data would be to use a dual axis chart that shows both the percentage and the absolute decline. New Statesman. You have joined our waitlist. Overall, a great idea for a data visualization and kudos to Reddit User academiaadvice for taking a crack at a difficult graphic! Blog About Us. 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. 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. This visualization is a good example of using grouping to communicate data clearly and succinctly to make it easy for the reader to understand. Well done, Clemario! Tools Tools. Contents move to sidebar hide. We graded five visualizations from June

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