kerstinsailer, to random
@kerstinsailer@sciences.social avatar

Beautiful of what it means to be but also a devastating read on the impact has on everyday life

I'm not quite as ill as the author but can relate so much to the general sentiments, it hurts

https://www.nytimes.com/interactive/2023/12/14/opinion/my-life-with-long-covid.html?mwgrp=a-dbar&unlocked_article_code=1.F00.0ZhI.gJqru0IzTtcv&smid=tw-share

pixel, to money
@pixel@social.pixels.pizza avatar
pixel, to money
@pixel@social.pixels.pizza avatar
pixel, to money
@pixel@social.pixels.pizza avatar
rwdatasci, to statistics

The programming language R is capable of creating a wide variety of geometric shapes that can be used to construct high quality graphics – including festive images. In this tutorial, @nrennie walks us through the process of using R packages to create and send Christmas cards with R.

https://realworlddatascience.net/ideas/tutorials/posts/2023/12/12/xmas-cards.html

da5nsy, to Futurology
@da5nsy@social.coop avatar

Sometimes, just sometimes, I get to make some very pretty graphs

#research #dataVisualization #dataVisualisation #dataViz

maarten, to random
@maarten@vis.social avatar

Built a little tool to make and download locator globe maps

Framework: Svelte https://svelte.dev/
Data: Natural Earth (with some modifications) https://www.naturalearthdata.com/
Mapping: d3-geo https://d3js.org/d3-geo
Globe dragging: d3-drag https://d3js.org/d3-drag and versor https://github.com/d3/versor
Downloading: svg-crowbar https://svg-crowbar.js.org/

Thanks to all creators and contributors to these amazing tools!

#Cartography #Mapping #DataVisualization

box464, to mastodon
@box464@mastodon.social avatar

@stefan built yet another another amazing data visualizer - this time with your Mastodon hashtags.

Think of it as your "Spotify Wrapped" but for Mastodon (works with Firefish, too).

https://data.stefanbohacek.dev/projects/fediverse-hashtags

helenajambor, to Fashion
@helenajambor@mastodon.social avatar

Tufte-trained folks: 3D effects are no-go in 2D charts...

Young, fresh and fearless vizzers: wow, all these cool effects! Love them!

janeadams, to markdown
@janeadams@vis.social avatar

So, I'm redesigning my portfolio #website from scratch (moving away from Wordpress CMS), and I'd like to know others' opinions:

I was thinking it would be nice to retain some human readability in post authoring by using #markdown, so I got a #react markdown pipeline working (each project page dynamically renders its respective .md). But I'm in #dataVisualization, so for some project pages I want to embed #html. No prob. markdown supports iframes, right? Not quite... (1/3)

#frontend #webdev

KhouryVis, to Cybersecurity
@KhouryVis@vis.social avatar

Congratulations to Doctor Justin Raynor on his successful PhD dissertation defense! 🍾 Advised by @codydunne , Justin's dissertation title is "Cybersecurity Visualization Design Approaches: Toward Connecting Research and Practice Through Technique, Context, and Process"

Check out some of Justin's work here: https://vis.khoury.northeastern.edu/people/Justin-Raynor/

ljrk, to coffee
@ljrk@todon.eu avatar

I stumbled upon a " finder" quiz by 60beans to sell more of their coffee^W^W^W^W^Whelp you graciously to find your perfect coffee!

But there was no data available how they map your preferences to the resulting data, so I had to make my own (the code is horrible and I know it, this was me literally just hobbling random stuff together)

https://codeberg.org/ljrk/60beans_coffeefinder

Is there any person here who is interested in doing anything (I lost interest, thanks ADHD) with the results.json (the question IDs can be mapped to strings from q2.json)?

Specifically I'd be curious whether

  • Are 60beans all coffees represented in the quiz, or some under-/over-presented?
  • Ditto for the coffee brands
  • Are there any other interesting correlations between say, country of origin and sweetness or similar?

Otherwise, just have fun with the dump or ignore it :D

ramikrispin, to maps
@ramikrispin@mstdn.social avatar

(1/3) If you are participating in the and looking for some resources to get started with geospatial data visualization, here is a tutorial I created for creating Choropleth maps with data from the coronavirus R package:
🔗 https://ramikrispin.github.io/coronavirus/articles/geospatial_visualization.html

Blickwinkel, to Germany German
@Blickwinkel@digitalcourage.social avatar

Here are all of the rivers and waterways in the #Germany, coloured according to the major hydrological basins they are part of and scaled by their size. #Python #DataScience #Data #DataVisualization #Germany
PythonMaps #Rivers
https://www.pythonmaps.com/

Blickwinkel,
@Blickwinkel@digitalcourage.social avatar
developmentseed, to random
@developmentseed@fosstodon.org avatar

Can't let Twitter have all the fun!

At yesterday @kylebarron introduced a new tool:

🛹 𝒍𝒐𝒏𝒃𝒐𝒂𝒓𝒅 is a game-changer for geospatial data visualization in Jupyter. Say goodbye to slow rendering times!
🔗 bit.ly/lonboard
🧵

stevensanderson, to random
@stevensanderson@mstdn.social avatar

In a nutshell, a Bland-Altman plot shows the differences between two measurements against their means. It's a powerful tool for quality control and validation, widely used in various industries, including healthcare.

Here's a quick 4-step guide:

  1. Data Prep
  2. Create the Plot
  3. Interpretation
  4. Explore

#r

Post: https://www.spsanderson.com/steveondata/posts/2023-10-25/

image/png

CharlieMcHenry, to maps
@CharlieMcHenry@connectop.us avatar

Rely on maps to do your work? Are you a a a or even a developer? Then you’ll be delighted to discover Protomaps – A free and open source map of the world https://protomaps.com/

stevensanderson, to random
@stevensanderson@mstdn.social avatar

📊 Uncover Hidden Insights with Interaction Plots in R! 📈

In data analysis, understanding how variables interact can be a game-changer.

  1. Prepare Your Data
  2. Create the Plot
  3. Interpret the Plot:
    🚀 Your Turn to Explore!

Interaction plots are a powerful tool for data exploration. Whether you're in healthcare, finance, you can unearth hidden gems.

#r

Post: https://www.spsanderson.com/steveondata/posts/2023-10-19/

image/png

yabellini, to random Spanish
@yabellini@fosstodon.org avatar

Now we have the second part of the tutorials
We continue with and start with and

Quarto

hackforge, to windsorontario

As part of our anticipation for WIFF, we spent some time with the data about their upcoming screenings.

The highlights are shown here, but you can also visit our website to get some more in-depth insight!

https://hackf.org/2023/10/17/wiff-screening-data/

fosslife, to productivity
@fosslife@fosstodon.org avatar
KhouryVis, to vr
@KhouryVis@vis.social avatar

Hey Mastodon! 👋 Here is our post: We are the Data Visualization Lab at Khoury College of Computer Sciences at Northeastern University. You can find more about our work here: https://vis.khoury.northeastern.edu/

We'd love to be connected to more folks and labs in the realms of

Our lab has been applying visualization to domain areas like

Say hi!

JackTheCat, to Dragonlance
@JackTheCat@mastodon.scot avatar

Disappointed that bananas aren't more popular in Scotland.

https://mastodon.scot/@z3z/111239989797036242
z3z - Just a quick today...

Western Europe's favourite fruits. Made in

(No idea how accurate this data is, but it was a fun exercise for a quick map)

nitpicking, to random
@nitpicking@mstdn.party avatar

Old news, but illuminating. Georgia's department of public health gives a master class on deceptive use of graphs (in 2020).

Do you see the issue without reading the article?

https://www.joeydevilla.com/2020/05/17/georgia-department-of-healths-master-class-on-misinforming-with-statistics/

The dates on the bottom are out of order! And the bars on the bar chart are in different orders for each date, to trick the eye into seeing downward slope.

Thanks to the Explain xkcd wiki for the link.
https://www.explainxkcd.com/wiki/index.php/2303:_Error_Types

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

📊 Mastering Data Visualization in R: Create Stunning Horizontal Legends! 📈

Are your vertical legends taking up too much space in your R plots?

Why Horizontal Legends? 🤔

The legend Function 📜

Customization is Key!

Multiple Legends? No Problem! 🎯

I encourage you to experiment with your plots, using these techniques.

#R

Post: https://www.spsanderson.com/steveondata/posts/2023-10-11/

image/png

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