Roman Sverdan
@romansverdan.bsky.social
Information designer, Data visualization engineer
at The Straits Times, Information design lecturer at the Lviv Arts Academy, US Fulbright Alumni | Opinions Are My Own
🌐 romansverdan.com
🌐 diagrammm.com
🌐 observablehq.com/@romansverdan
at The Straits Times, Information design lecturer at the Lviv Arts Academy, US Fulbright Alumni | Opinions Are My Own
🌐 romansverdan.com
🌐 diagrammm.com
🌐 observablehq.com/@romansverdan
Thank you!
There is the same data visualized as a treemap. Here is a link to the notebook: observablehq.com/@romansverda...
There is the same data visualized as a treemap. Here is a link to the notebook: observablehq.com/@romansverda...
September 14, 2024 at 4:11 PM
Thank you!
There is the same data visualized as a treemap. Here is a link to the notebook: observablehq.com/@romansverda...
There is the same data visualized as a treemap. Here is a link to the notebook: observablehq.com/@romansverda...
Yes, y're right. Thanks a lot for pointing it out!
I forgot to exclude outliers from the legend color scale. There are two values, 2000 and 3160 of the personnel losses from the first weeks of the war, and the same for the APV category. Fixed it and added a spreadsheet view to the daily data.
I forgot to exclude outliers from the legend color scale. There are two values, 2000 and 3160 of the personnel losses from the first weeks of the war, and the same for the APV category. Fixed it and added a spreadsheet view to the daily data.
September 14, 2024 at 4:02 PM
Yes, y're right. Thanks a lot for pointing it out!
I forgot to exclude outliers from the legend color scale. There are two values, 2000 and 3160 of the personnel losses from the first weeks of the war, and the same for the APV category. Fixed it and added a spreadsheet view to the daily data.
I forgot to exclude outliers from the legend color scale. There are two values, 2000 and 3160 of the personnel losses from the first weeks of the war, and the same for the APV category. Fixed it and added a spreadsheet view to the daily data.