I have seen presentations ruined by misleading color scales in plots.
Selecting the appropriate color scale to visualize your data is an integral part of your scientific work.
#Tag
I have seen presentations ruined by misleading color scales in plots.
Selecting the appropriate color scale to visualize your data is an integral part of your scientific work.
My next monthly blog is out, which looks at a new graphic of local Arctic amplification rates in fall compared to the annual mean: https://zacklabe.com/climate-viz-of-the-month/
My next monthly blog is out, which looks at a new graphic of local Arctic amplification rates in fall compared to the annual mean: https://zacklabe.com/climate-viz-of-the-month/
Updated every month: Access the raw datasets behind every  #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated.
https://informationisbeautiful.net/data/
Just launched Lazy Cats, a visual exploration of cat behaviour.
Meet Lily + 27 other cats and find out what they do all day (spoiler: they mostly chill) 🐱🐾 Does your cat fit their profile? 
🔗 https://lazy-cats.netlify.app/
Very proud to share my first interactive #dataviz project built with #Svelte + #D3! 📊 It's been quite a learning curve coming from #python but found super helpful tutorials by Matthias Stahl and Connor Rothschild. Links in this repo https://github.com/Lisa-Ho/d3-playground.
 
      
  
                            
                        
                         
      
  
                            
                        
                         
      
  
                            
                        
                        Just launched Lazy Cats, a visual exploration of cat behaviour.
Meet Lily + 27 other cats and find out what they do all day (spoiler: they mostly chill) 🐱🐾 Does your cat fit their profile? 
🔗 https://lazy-cats.netlify.app/
Very proud to share my first interactive #dataviz project built with #Svelte + #D3! 📊 It's been quite a learning curve coming from #python but found super helpful tutorials by Matthias Stahl and Connor Rothschild. Links in this repo https://github.com/Lisa-Ho/d3-playground.
 
      
  
                            
                        
                         
      
  
                            
                        
                         
      
  
                            
                        
                        The {ggbot2}  #RStats 📦 launches a chatbot you can speak to in plain language, and it can write ggplot2 R code and display the dataviz.
Plus: The {shinyrealtime}  #RStats 📦 has a demo voice app that generates  #dataviz code in both R and  #Python
https://www.infoworld.com/article/4072500/how-to-run-an-r-data-visualization-chatbot-you-can-talk-to.html
 #GenerativeAI  #ggplot2
Raj's dashboard, updated yesterday, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases and descendant recombinants. This after months of data suggesting XFG evolution had been stagnant.
GISAID data for the most recent three-week-and-change period is dominated by submissions from New York (178 sequences), followed by Colorado (137), Oregon (77), Nebraska (58), and Minnesota (39).
#CDC's most dataset, updated September 26, showed Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth share.
Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.
❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis
Raj's dashboard, updated yesterday, shows Stratus wildly diversified, having spawned multiple third-generation pango aliases and descendant recombinants. This after months of data suggesting XFG evolution had been stagnant.
GISAID data for the most recent three-week-and-change period is dominated by submissions from New York (178 sequences), followed by Colorado (137), Oregon (77), Nebraska (58), and Minnesota (39).
#CDC's most dataset, updated September 26, showed Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth share.
Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.
❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis
If nothing else, this post illustrates something about #DataViz. Compare/contrast the poll results as originally presented and redraw as a graph
2/
#CDC's most dataset, updated Friday, shows tightly-knit Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place, down to one-fourteenth share, this nearly neck-in-neck with FDA Vaccine Target LP.8.1 (or its family line) at one-seventeenth share.
Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.
Raj's dashboard, last updated over two weeks ago, shows Stratus XFG pulling ahead in competition with its two children, even as XFG.3 has spawned a child of its own.
GISAID data for the most recent four week period is dominated by submissions from Colorado (514 sequences), followed by California (485), Utah (160), and New York (146).
❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis
Took it easy this month, recovering from seasonal booster. Thus, only a hundred more lines for #AnnoPlot #dataviz project since last round of work in August:
https://hcommons.social/@beadsland/115123231252276843
Work in September focused on:
* clarification of winter ancestries in legend footnotes
* restoring variant peak tracking from biweekly CDC data
* some more previously deferred refactoring
* preliminary work to allow for partial variants  #datavis orchard chart bar between periods
* tweaking utility script to accommodate legacy variant namespace clash
* debugging and conforming usage
* clarification of language in caption
The New York Times' classic  #dataviz made in *Flash* are back online - thanks to some kind of tech magic. Via  @flowingdata
https://flowingdata.com/2024/01/10/nyt-flash-based-visualizations-work-again/
Next week my workshop series on dataviz accessibility with @smashingmag / @smashingconf will be starting  
 
We'll explore accessibility testing, design and developing accessible charts, processes and practical challenges, and general dataviz accessibility principles.
Want to join? Still possible! 👇🏻
https://smashingconf.com/online-workshops/workshops/sarah-l-fossheim-practical-accessibility/
Next week my workshop series on dataviz accessibility with @smashingmag / @smashingconf will be starting  
 
We'll explore accessibility testing, design and developing accessible charts, processes and practical challenges, and general dataviz accessibility principles.
Want to join? Still possible! 👇🏻
https://smashingconf.com/online-workshops/workshops/sarah-l-fossheim-practical-accessibility/
quelmap is an open source local data analysis assistant that uses Lightning-4b requiring only 16GB RAM.
📊 Data visualization
🚀 Table joins
📈 Run statistical tests
📂 Unlimited rows, analyze 30+ tables at once
🐍 Built-in Python sandbox
🦙 Ollama or LM Studio API integration
looks like the original repo got removed, but here's a clone since it was released under Aparche
Tentative de frise chronologique pour exploration multi-POV d'événements - cas pratique du #ZEvent 2025 : https://hublem.afola.ovh/dev/17/timelinezevent (Work in progress) #dataviz #streamers
Updated every month: Access the raw datasets behind every  #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated.
https://informationisbeautiful.net/data/
Raj's dashboard, updated yesterday, shows Stratus XFG pulling ahead in competition with its two children, even as XFG.3 has spawned a child of its own.
GISAID data for the most recent four week period is dominated by submissions from Colorado (327 sequences), followed by California (297), Utah (160), and New York (129).
#CDC's most recent Tuesday dataset, updated end of August, shows tightly-knit Stratus XFG family dominating, with Nimbus NB.1.8.1 / PQ in second place at around one-seventh share.
Note that, in absence of robust data from states, CDC has given up modeling historical estimates, instead giving only shares of reported sequences.
❖ #ThisIsOurPolio #variants #CovidIsNotOver #dataviz #datavis
Updated every month: Access the raw datasets behind every  #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated.
https://informationisbeautiful.net/data/
A space for Bonfire maintainers and contributors to communicate