/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, I’m on a elf growth journey and really would like to have a good visualisation meditation I can follow when I wake up in the morning. There are sooo many out there I’m unsure which to choose. Does anyone have any suggestions of what I can try?
Thanks :-)
hi r/visualization!
i'm comparing two groups to see if the treatments are significantly different, and originally, i had plotted bar charts with error bars (ggplot2 geom_bar and geom_errorbar), but when eyeballing my data, i noticed that the variance in the data is huge, regardless of treatment (means were not significantly different between treatments anyway).
i have four main metrics that i tested, so i had made four bar charts, but when i noticed the variability, i wondered if there's a better way to plot this. i calculated coefficients of variance both for metrics overall, and per treatment. certain metrics have higher CVs than others, and i want to figure out how to communicate this, while still displaying that no metrics had significant differences between treatments.
my thought process is, i change my four bar charts to be box plots and just put the p-value above (to indicate non-significance), then i create a grouped bar chart of the CVs (four groups of 3: treatment 1, treatment 2, overall- then times four).
is there a better way to do this? i don't want to have five bar charts on my research poster but i'm not sure what else to do. thanks!
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Sophisticated Aesthetic: Offers a calm, polished appearance, perfect for professional and academic visualizations.
Rich Color Palette: Integrates the signature Rose Pine color scheme, complemented by customizable accent tones to suit diverse datasets.Seamless Integration: Designed to effortlessly fit into standard ggplot2 workflows, saving you time while enhancing your plots.
Installing and applying the Rose Pine Theme is straightforward, and the result is a visually striking output tailored for high-impact presentations or publications. Here’s a glimpse of the theme in action, showcasing its versatility across different types of data.
Comprehensive documentation, including implementation guidelines, is available in the GitHub Repository. Check it out to explore usage tips and visual examples.
Feedback and contributions are highly encouraged! Whether you have suggestions for enhancements or want to contribute directly to the project, feel free to submit a pull request or open an issue on GitHub. Collaboration is the key to growth!
📩 Get in TouchFor any questions, feedback, or collaborative ideas, reach out via my portfolio website or connect with me on GitHub.
🔗 GitHub Repository: Explore the Rose Pine Theme for R
📌 ᴀʀᴇ ʏᴏᴜ ɪɴᴛᴏ ᴅᴀᴛᴀ ꜱᴄɪᴇɴᴄᴇ, ᴀɴᴀʟʏᴛɪᴄꜱ, ᴏʀ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ? ʟᴇᴛ’ꜱ ᴄᴏɴɴᴇᴄᴛ—ɪ’ᴅ ʟᴏᴠᴇ ᴛᴏ ᴄʜᴀᴛ ᴍᴏʀᴇ ᴀʙᴏᴜᴛ ɪᴛ!
Thank you
I have a large number of words, and I want to visualize their frequency of use in some data. This is exactly what a word cloud does. But i just don't like how.... floofy? they seem. Like something I'd see on etsy.
Beyond a bar plot with every word, is there another good way to visualize this data? Or ways to make the word cloud seem more scientific? I appreciate any advice
I’m playing WWE 2k24’s Universe Mode and keeping track of certain stats (who won what championships for how long, who’s friends/enemies with who, and how many matches a specific wrestler has won and lost). Initially, I used a coordinate graph on Desmos, but I wasn’t able to save it since it exceeded the file size limit. Other iOS apps wouldn’t let me add images instead of points (labelling each point would be messy since there are 96 wrestlers and there’s a lot of overlap), so while I’m looking for another app, I’m wondering if there’s a better way to accomplish my goal.
Also, if I’m able to store data for each wrestler (click on a name/point on the graph and get information about their championship stats, for example), I’d love it.
I never thought I’d be someone who could stick with a habit for this long, but here I am—116 days of meditation in a row. It started small, just 2 minutes a day, but tracking it in Mainspring habit tracker app kept me motivated to keep going.
At first, it felt like a chore, but now it’s something I actually look forward to. It’s helped me feel calmer, more focused, and way less stressed. Honestly, I’m just proud of myself for showing up every day.
Anyone else crushing their habit goals? Let’s celebrate some wins!
Hello guys, I am a masters student in data analytics and I have a data visualization team project.
I am a chess enthusiast who used to play a lot, I have a rating of around 2100-2200 on chess.com.
My team and I were really interested to find how psychological factors plays a role in chess.
We conducted our entire project based on a lichess data set of 200k games.
We studied how chess can teach us about psychology. We are presenting in front of a non chess audience with the hope to attract new players and show the beauty of the game. Here are the visuals as well as a blog post for some further explanation.
This is the link for the visuals:
https://public.tableau.com/app/profile/lynn.hajj/viz/Project_Chess41/Dashboard11?publish=yes
This is the link for the blog:
https://sites.aub.edu.lb/datavisualization/2024/11/25/the-psychology-behind-chess/
We would be grateful for any feedback! If that project had any impact on you please let us know!!
For homework I have to develop a small app. Was thinking to create a simple app to check which is nearest killer shelters around me.
Any idea where I can find or gather that data?
If you had your day's activities (Work, Sleep, Eating, Class, Videogames, etc) tracked each day for the last decade, what sort of information would you be curious to dig out of that?
Around 2014, I began tracking my time with the help of Workflow (now Shortcuts, on iOS). I had an automation to throw it into Google Sheets, where each activity was color coded, and each new day is put on a new row. Pretty colors were fun to look at; some intuitions reinforced ("Wow, if I stay up late, the next day has a lot more time spent being lazy" etc), but nothing really of substance explored.
Fast forward to today, a few database courses later, and I want to actually dig through this dataset to try and glean something meaningful.
In addition to the raw data of each days' activities, I've got...
I have a few comparisons and transformations I want to explore:
Are there any ideas of what else might be interesting to dig for?
I have a collection of about 200-300 nodes that have all have arrows to each other. I would like to know a program that organizes them into a sensible way with force and stuff.
Hi everyone, I recently transitioned into the data analytics field and am currently seeking data analyst job opportunities in Canada. However, I'm finding it challenging to secure a role due to my lack of professional experience in this domain.
I'm eager to learn and grow, and I’m looking for mentorship or guidance on how to navigate this career transition. Any advice on building a strong portfolio, finding entry-level opportunities, or improving my chances in the job market would be greatly appreciated!
Thank you in advance for your help and insights.
I have a stacked bar chart that show the annual popularity of 10 different training schemes over 10 years (colour coded for each training scheme) However, the journal I'm planning on submitting to doesn't permit bar charts. I'm looking for alternatives options? I tried just a simple line chart but the problem is that one training scheme dominates the others in terms of popularity (accounts for 60%-80%). So the others are crammed into the other part and they all have similar popularity so it's messy. Any suggestions? Other caveat is that some of the training schemes only have data available for 2-3 years
My goal is to show cumulative incoming $ year-to-date, on a daily basis, as a presentable video that automatically adjusts visuals according to date. I have accomplished this in PowerBI (refer to video attached), but it is very snappy, rapid, and laggy when more data is loaded. Im looking for a software to do this with where the transition from one day to the next is smooth. Does anyone have any ideas for me? Thanks!
#30DayMapChallenge Day 12: Time and Space. This is how LOCATEL's heart beats. LOCATEL is Mexico City Hot-Line. The original dataset contains 569K calls made in 2023, of which only 212K are geolocated.
Hi everyone - I'm looking to create a visualization for clusters with overlapping data. For example, I may have 4 basket, each with their own type of fruit and I'm trying to show which baskets contain the same type of fruit.
I've been researching and came across diagrams like the Chord diagram and Radial Set diagram that comes close to what I'm looking to show, but not quite. Does anyone have any thoughts on what type of visualization would work best?
I came up with this possible diagram below where each colored line represents the type of fruit. This chart would be interactive so when somebody hovers over a colored line, it will highlight the line by fading all the others out and show information on what type of fruit it is. Not quite sure if this is the best and clearest way to show overlapping data among different entities though.
Thanks in advance!