Dataisbeautiful

We love that submissions come from all over the world dataisbeautiful that 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.

Dataisbeautiful

.

New Statesman.

.

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. Subreddit focused on data visualization.

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! If you have any more questions or concerns, please leave them in the comments. Olson data visualization reddit tools 4 min READ.

Seaford vac and sew

Icebreakers are activities designed to lighten the mood, help individuals know each other, break down barriers. Well done, Clemario! In addition, we found the distribution of the age bands of the general population to be somewhat interesting as well! Further, we think that more intentional use of coloring and shading could have helped communicate the information better. Read on to find five visualizations from May that we assess and grade for their quality. This data visualization just puts a smile on our faces. Hidden categories: Articles with short description Short description is different from Wikidata. This visualization does suffer from a lack of cited sources on the graphic and no date period or range. This is a fascinating and powerful visualization that shows just how expensive purchasing a home can be in certain areas of the United States. A crisp, black background with bright and distinct colors for each actor really helps the visualization pop. We always love spending some time on Data is Beautiful and assessing the visualizations that have been shared. 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.

.

In addition, we found the distribution of the age bands of the general population to be somewhat interesting as well! 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. However, this visualization suffers a bit in its attempt to communicate this information clearly. 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. 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. Hopefully we have curated some visualizations that you find interesting. Toggle limited content width. Do they have a place in business meetings? February 14, ; 12 years ago [1]. 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! Article Talk. Well done, Clemario! We did like the dark background and strong colors, as they make the overall visualization eye-catching.