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#dataviz

30 posts20 participants3 posts today
Public
Elio Campitelli

How a small detail in #DataViz can change your understanding of the data. I have these 20 scatterplots for 20 various climate models. It seems that in some models there's a relationship, in other not so much, and in some it's clearly non-linear while in others is harder to tell.
Next, I used a fixed scale for all panels and also added all dots in gray to each panel. Whoa, that's different! Now it looks like each model is representing a different part of the population!

Figure with 20 scatterplots. some show a very nonlienar relationship, others are more like a "blob" with the "canonical" shape for a normal correlation.
Similar figure but each panel has the same extent in x and y and in gray you can see the points of all models in every panel. Now it's clear that most models fall within the same general non-linear relationship which looks kind of exponential. The models that didn't show strong nonlinearity are confined to a narrow range in the low end of the relationship, where it's more linear.
Public
Stefan Bohacek

Pretty fascinating look at how "Covid changed everything", in 30 charts.

"Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for Americans five years ago this week."

nytimes.com/interactive/2025/0

The New York Times · 30 Charts That Show How Covid Changed Everything in March 2020By Aatish Bhatia
#news#covid#health
Public
CIM Warwick

We are #hiring! We are seeking a skilled part-time research software engineer to provide leadership on the implementation of an open software and data infrastructure in support of the new EPSRC Centre for Doctoral Training (CDT) in Diversity in Data Visualization (DIVERSE CDT).

warwick-careers.tal.net/vx/app

warwick-careers.tal.netQuick Check Needed
#RSE#DataVis#DataViz
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