this post was submitted on 11 Aug 2024
-43 points (12.3% liked)
Data is Beautiful
5024 readers
41 users here now
A place to share and discuss visual representations of data: Graphs, charts, maps, etc.
DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.
A place to share and discuss visual representations of data: Graphs, charts, maps, etc.
A post must be (or contain) a qualifying data visualization.
Directly link to the original source article of the visualization
Original source article doesn't mean the original source image. Link to the full page of the source article as a link-type submission.
If you made the visualization yourself, tag it as [OC]
[OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.
DO NOT claim "[OC]" for diagrams that are not yours.
All diagrams must have at least one computer generated element.
No reposts of popular posts within 1 month.
Post titles must describe the data plainly without using sensationalized headlines. Clickbait posts will be removed.
Posts involving American Politics, or contentious topics in American media, are permissible only on Thursdays (ET).
Posts involving Personal Data are permissible only on Mondays (ET).
Please read through our FAQ if you are new to posting on DataIsBeautiful. Commenting Rules
Don't be intentionally rude, ever.
Comments should be constructive and related to the visual presented. Special attention is given to root-level comments.
Short comments and low effort replies are automatically removed.
Hate Speech and dogwhistling are not tolerated and will result in an immediate ban.
Personal attacks and rabble-rousing will be removed.
Moderators reserve discretion when issuing bans for inappropriate comments. Bans are also subject to you forfeiting all of your comments in this community.
Originally r/DataisBeautiful
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
A boxplot is a visualization tool to quickly get an idea of how the data is distributed. In this population the outliers are so large that the info the real box + whiskers give is very low.
In your title you suggest investigating a relationship between total Olympic medals and HDI - why not choose a scatter plot here?
That the number in square brackets refers to the HDI rank only get's clear on the second look.
The outliers being distributed over the X-Axis is confusing.
Sorry but this visualization is not beautiful, rather the wrong method used that cannot display the hypothesis stated in the title.
The choice of only highlighting the HDI of the outliers makes one wonder what the rest of the data is hiding and whether this graph is hiding the truth from the data to tell a biased narrative.
Also, box plots only work on a single dimension.