/r/visualization
For topics related to information visualization and the design of graphs, charts, maps, etc.
For topics related to information visualization and the design of graphs, charts, maps, etc.
Post guides, tutorials, and discussion threads about information visualization.
We also welcome posts including visualization works-in-progress and requests for critiques.
Be polite and constructive when posting in this subreddit. Posts and comments that are rude, harassing, sexist, racist, etc. will be removed and may result in a ban.
While posts linking to finished information visualizations are allowed, we encourage sharing visualizations only when they will lead to discussion about the design and construction of the visualization.
See the Related Subreddits section below for more appropriate places to share finished work.
Do NOT post sales, memes, cute pictures, jokes, etc. Repeated offenses of this rule will result in a ban.
Please report any submissions or comments violating these rules using the report button.
If you want to post something related to information visualization but it doesn't fit the criteria above, consider posting to one of the following subreddits.
DataIsBeautiful: Share data visualizations
MapPorn: Share maps, map visualizations, etc.
Infographics: Share infographics and other unautomated diagrams
WordCloud: Specifically for sharing word clouds
DataVizRequests: Request a visualization to be made
Tableau: Share and discuss visualizations made with Tableau software
DataSets: Request and share data sets
SampleSize: Conduct and share surveys
DataIsUgly: Share poorly designed information visualizations
FunnyCharts: Share funny graphs and charts
MathPics: Share pictures and visualizations of mathematical concepts
RedactedCharts: Try to guess what a chart is about without the labels
Statistics: For all questions and articles related to statistics
/r/visualization
Here is the link to the original post: Original Post, V4.0 Beta, V5.0 Beta, V6.0 Beta, V7.0 Beta & V8.0 Beta
You can find an example visualization here: Lululemon's Supply Chain
If you missed the earlier posts, ImportYeti searches 150,000,000 public shipping records to find a quality supplier 1,000x times easier than Alibaba alone. You answer questions like:
Here are the BIG changes on this release:
I'd love any and all feedback (love or hate)... no matter how brutal, small or crazy : ) I only want to create things that people really love. Thank you to everyone that helped us sending their feedback about the site redesign. Please PM me or comment below anytime
Hi everyone.
I want to visualize our complex CRM landscape. I have an idea how to do it but can't figure out how to do it or which tool to use for it:
So our group consists of multiple companies that use CRM but they don't all use the same features/entities of CRM.
Example:
Company A uses: Accounts / Contacts / Appointments / Meeting reports
Company B uses: Accounts / Contacts / Appointments / Meeting reports / Opportunities / Contracts
So my idea was to create a visualization in which I show all entities as blocks with connectines lines showing how they are interlinked.
(Accounts is linked to contacts , appointments, opportunities and contracts
contracts are linked to accounts and opportunities etc.)
On the side I want to show a block for each company and when we click on a company it highlights all the features/entitiy blocks that they use (and perhaps grey out the ones they don't use)
so if you click company A, 4 entity blocks are highlighted and if you click company B, 6 entity blocks are highlighted.
Any idea on how to do this?
Hello,
I come with a question.
I am currently developing an R package that provides a series of plots for virus family visualizations.
I am coloring the plots according to virus phyla. There are 19 virus phyla and I am mapping a color to each phyla to make sure the colors are always consistent across different runs.
Now to the question:
I already assigned colors for basic plots, but I want to add colorblindness support.
My problem is that I cannot find a color pallet for colorblindness with 19 distinct colors.
I am using another Package called colorBlindness to simulate colorblindness to see how well the colors are for different types of colorblindness and no pallet so far really supports colorblindness for more than 12 colors.
Can you help me?
Fibonacci heaps is a data structure with attractive operations complexities. It was fun to implement nodes jiggling with d3 js
https://reddit.com/link/1dk8zuz/video/2saqe9d4mp7d1/player
Try interactive version and feel free to comment out what can be better or what you like
Let's say you have 80 jobs and each of these jobs have several attributes, these attributes can apply to several jobs. There are 2000 attributes, attributes can overlap.
For example:
Waiter (job):
Computer programmer (job):
Attributes:
What is the best way to present such data if there are 80 occupations with thousands of attributes?