Dataisbeautiful

We love that submissions come from all over the world and dataisbeautiful we get exposed to interesting data and visualizations that we otherwise never would, 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

.

What is well executed about this data visualization is the clear labeling and data source explanations, dataisbeautiful strong use of a color scale to represent the number of years, and clear and explanatory legend. Perhaps a better way to visualize this data would be to use a dual axis dataisbeautiful that shows both the percentage and the absolute decline, 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. 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

Nhl oddsshark

Matt Talbot. Toggle limited content width. Well done, Clemario! Categories : Subreddits Data visualization Internet properties established in Individual posts in the subreddit have also been reported on by the National Post [9] and Vice. New Statesman. If you're working with Airtable visualizations or charts on Google Sheets data, be sure to try Superchart for free. 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! Overall, a great idea for a data visualization and kudos to Reddit User academiaadvice for taking a crack at a difficult graphic! Anyone living in the US has experienced the surge of home prices in , but this graphic does a great job of communicating the cost of a home in a succinct and powerful way. Read Edit View history.

.

The only small piece of advice we would give here is to include the sources that were used for the data in the visualization. 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. Do they have a place in business meetings? This data visualization just puts a smile on our faces. Toggle limited content width. This visualization does suffer from a lack of cited sources on the graphic and no date period or range. If you're working with Airtable visualizations or charts on Google Sheets data, be sure to try Superchart for free. 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. Retrieved A crisp, black background with bright and distinct colors for each actor really helps the visualization pop. This visualization is a good example of using grouping to communicate data clearly and succinctly to make it easy for the reader to understand. Overall, this is a great data visualization that is both interesting and well executed.