/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
Hi everyone, Iām new at my job and have to great a PowerPoint to show trend analysis, the timeline is very short and I need to get it done asap. Kindly help with ideas
Hey! I'm looking for a way to make piecharts with gradient colours. I use Canva for work, and realised they don't have that option! What program can I use? I'm not overly techy and it needs to be free or have a free trial period at least. Please help!
A family member of mine just moved to Maryland after buying their first house, so I want to give them a gift of a map of the state, or possibly the larger DC area. I've been able to find some that get pretty close, and I'll link them below, but nothing perfect yet. Doesn't have to be free, just let me know what you guys have
Close from YellowMaps:Ā https://www.yellowmaps.com/maps/img/US/elevation/Maryland-elevation-map-149.jpg
And quite close from NationsOnlineĀ https://www.nationsonline.org/maps/USA/Maryland-topographic-map.jpg
I have tried out various tools, softwares and programming languages to make graphs in the last few years, but I am yet to find a solution I want to stick with. So here I am wondering what do others use. Why? Do you pay for it? If so, how much?
Hey everyone,
TLDR; How can we visualize exponential data points on a linear scale so that an audience unfamiliar with logarithms and exponents can comprehend the vast scale being discussed?
For example, take numbers like billion (10ā¹), trillion (10Ā¹Ā²), and quadrillion (10Ā¹āµ). The scale isn't intuitive. One may think that the value difference between billion and trillion is the same as that of trillion and quadrillion (you know, because 12-9=3 and 15-12=3). We know this isn't true. The scale isn't intuitive.
Sure, these scales make numbers easier to express and communicate, but they can be really tricky to comprehend.
Plotting these numbers on a linear scale doesnāt work. The graph shoots up dramatically near the highest values, and all the smaller points seem to disappear, leaving the whole thing looking lopsided and unhelpful.
In theory, I know that logarithmic or exponential scales exist to address this issue, but they still arenāt intuitive to many peopleāmyself included. It feels like using a log scale helps mathematically, but it doesnāt solve the underlying issue of comprehension.
Iāve been brainstorming ways to make these kinds of data points more understandable, but Iām not sure which direction to take:
Iāve also been thinking about those awesome size-comparison videos, where they start with something small, like a person, and gradually zoom out to show the largest known objects in the universe. That progressive comparison helps build an intuitive sense of scale. Maybe a similar approach could work for data visualization, but Iām not sure how to apply it here.
Iād really appreciate any advice or recommendations. Have you encountered a similar problem with visualizing exponential data? What solutions have you tried, and what worked or didnāt work?
Thanks in advance for your input!