/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
Hey everyone!
I wanted to share my thoughts on Sharpe AI's analytics tools, which have truly impressed me. If you're interested in data visualization and market trend analysis, this platform might be worth exploring
Sharpe AI is a platform designed to help users analyze data and identify market trends using a variety of sophisticated tools. If you appreciate clear and visual representations of data, you'll likely find this platform engaging.
They Offer:
I've found this tools useful for breaking down data into understandable formats. If you've used Sharpe AI or similar tools, I'd love to hear your thoughts!
Hi Reddit,
We're conducting research on different approaches to generating visual content from sensor data using AI models. Our study compares state-of-the-art methods, and we'd love to get your input!
If you’re interested in image generation and AI, or simply curious about how sensors can be used to create visualizations, please consider participating in our survey. It takes just a few minutes, and your responses will help improve the accuracy and effectiveness of our models.
What to expect:
Bonus: We’re offering a chance to win a $10 Starbucks gift card in a prize draw for 10 participants. If you’re interested, just leave your email at the end of the survey (optional).
Link to Survey: https://forms.gle/q6HShQCyB8bwM7236
Thank you for your time, and we appreciate your feedback!
What is you guys opinion on visualization with VR-glasses? Dumb or potential?
I’m currently working on a university project where I’ll be creating free 3D visualizations, and I’m looking for both interior and exterior design projects to bring to life. If you’ve got a project in mind, I’d love to help visualize it!
What I’m Looking For:
What You’ll Need to Provide - Email me: (mr.brisian@gmail.com)
What I’ll Deliver:
Slots Available: I have 10 slots available for free projects, so it’s first come, first served. I’ll prioritize based on the level of detail and accuracy in the plans and project briefs.
If this sounds interesting, feel free to comment or DM me with your project details! I’m excited to collaborate and bring your designs to life!
Thanks, and looking forward to working on your projects!
Hi all, I've only tried CorelDRAW to create designs, maps, and posters. Another app I've used is Canva, but I feel it has limited features. Do you know what the best app is for designing maps? Or do you have any recommendations?
This is an example of the output I want to design. I hope I can get some insights here.
Thank you in advance.
https://www.studiolegenda.com/collections/all/products/shinkansen-map
I've been working on an ML project where the pipeline can be decomposed into 3 stages (say A,B,C) and each stage has 3 possible modules I can plug, resulting in 20+ models (some combinations of the 27 are excluded). I also have 6 datasets, resulting in a table with ~120 numbers which I have to suitably present in a report/paper (not all numbers need to be shared per se). I am curious about how people usually make sense of so many numbers.
For instance, I can fix all but one stage (say A, B) and vary the remaining one (say C), which will give me a (3,6) table and one of the C variants might emerge as a winner but a valid question could be why set A and B as the chosen modules. If I try going for a (3,6) table per A, B combination, I end up with too many tables making the reader's life difficult. Moreover, I would like to do this for every stage of the pipeline.
I have seen LLM papers use the spider chart to compare different models across tasks but in these cases, the polygons usually seem to be contained within one another fully (i.e. one model dominates another across ~all datasets). However, my work is in the graph domain and the datasets aren't that big making the scores noisy and thus not always resulting in such a consistent dominance of any method over another. This may make the graph unappealing (even not readable in most cases).
I am most interested in established norms in the ML community on what constitutes an honest evaluation of the different phases of the pipeline separately (can I vary just one stage while fixing others like mentioned above), and also possible visualizations of these numbers (like the spider chart). I am also open to possible aggregations across datasets or models (aggregating across (3A,3B,1C) to compare variants of C). The score I am considering is the mAP score (mean average precision) typically used in ranking and object detection problems.
Please let me know if you have any suggestions. I am sorry if I am being very non-specific here, feel free to ask for more details.
Hi,
I have a few files containing large chronological datasets ( for example long measurements of computer sensors - HWiNFO log files ) that i would like to visualize, but using Excel doesn't seem very practical. I'm looking for a preferably free tool that would be able to pan, zoom and show the value that's being hovered over with a mouse. Maybe even display two lines over each other. ArcGIS Pro can do something like that, even though it's not specialized for that, but it's paid. Do you have any tips?
EDIT: I'm looking for something similar to this: https://youtu.be/sZc5DLY6RGA
I just exported loom, a python library that can animated your plots and graphs to make them more catchy. Check out the demo here : https://youtu.be/5eZqREtMW_Y?si=hJCJbt7sXdWAnCdQ
I did this chart(only a quarter of it) below in photoshop and it was a huge pain in the ass to do. It's a conspiracy chart for my dnd game. Looking to translate it to somewhere where editing it would be easier.
tl;dr - this is not a sales or promotion post. I am genuinely looking for feedback on the product.
Hi. I’m working on a AI SaaS tool that helps you visualise spreadsheets in beautiful interactive charts using natural language english in under 30 seconds.
Need feedback on the product, usability, and market. I’m also willing to offer an early access to the product completely free of cost for the first 2 weeks.
I got so much help on this plot, thanks to everyone who gave me advice! I ended up making the line plot with a 30 day moving average to fit with typical time series visualization and I think it looks much better. The moving average really helped clear up the trends in the data and make it less messy overall.
I thought the lines made trends more clear to me but a professor said the opposite, that the lines muddy up the graph, and now I switch my opinion every time I look at them.
Hey im currently working on an investment project and would appreciate some feedback on how to effectively communicate and illustrate a profit graph on the dashboard in terms of Ux. Specifically, I'm looking for suggestions on how to best visualize and present the data to make it easy to understand and actionable.
Thanks in advance for your input!
Today, I used this open source python library called DataHorse to analyze Amazon dataset using plain English. No need for complicated tools—DataHorse simplified data manipulation, visualization, and building machine learning models.
Here's how it improved our workflow and made data analysis easier for everyone on the team.
Try it out: https://colab.research.google.com/drive/192jcjxIM5dZAiv7HrU87xLgDZlH4CF3v?usp=sharing
I'm newer to social network graphing and can find tons of pointers to network diagrams (and automated tools) that identify natural groupings given known 1-1 connections between individuals. What if I know the groups (e.g. committees within an organization) and want to visualize the connections between groups via known common members (and where each member may be part of up to 'n' groups, not just two)?
BONUS if I can demonstrate the higher 'weight' of group leaders (e.g. committee co-Chair) versus regular members and/or if I can have a simple weight of connection between two groups (e.g. a working group on X and the sounding board/advisory group that provides occasional feedback to X, versus a group not at all about X).
Crafted a few visualizations to view financial data, share the designs.
Income vs Expense side by side for each month
Monthly expense in bar chart & accumulated view for year to month