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Bek Grieger Nov 23
The most wholesome explanation of some basics Maybe I need to do some more baking 🧁
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Manuel Lima Nov 21
Today's juxtaposes a natural visualization of time (see 🌳Ⓞ dendrochronology) with a simulated one 👇
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Alenka Gucek Nov 17
Excellent on methods to develop COVID-19 vaccine
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Martin Krzywinski Nov 23
Just as medical illustrations focus on the "surgical moment", data graphics should hinge on a "data moment": a key comparison, inflection or trend that draws attention & acts as a fulcrum between what we know (preamble) and what we're yet to discover (postamble)
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Joshua Ebner Nov 23
Replying to @Josh_Ebner
2/ The big advantage of ggplot2 is that the visualizations look pretty great, right out of the box.
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Joshua Ebner Nov 23
Replying to @Josh_Ebner
9/ With ggplot2, you can create almost any visualization, as long as you select the right geoms and perform the right variable mappings. It's a very powerful system, once you understand it.
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Niklas Elmqvist Nov 17
Every year when I cover collaborative visualization in my graduate class , I rediscover how much important work there is to be done in this space. I need more brilliant students and more hours in the day to do this work!
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Shehryar (Shay) Saharan Nov 23
DearData postcards from a few weeks ago! The first one shows my google chrome usage (for each hour of the day over a 1 week period), and the second aims to visualize hand movement as I walked around my house! .
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Joshua Ebner Nov 19
Replying to @Josh_Ebner
4/6 You could spend a lot of time looking at this, and glean quite a few insights.
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Joshua Ebner Nov 18
Replying to @Josh_Ebner
9/12 So for the visualization above, I recommend using the ‘viridis’, ‘plasma’, or ‘magma’ color palettes.
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Elliot Liber Nov 21
Top 6 Data Science Programs for Beginners via
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Joshua Ebner Nov 23
Replying to @Josh_Ebner
4/ I will admit that ggplot2 can look a little confusing at first. Especially when we compare a Base-R scatterplot to a ggplot2 scatterplot ...
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Science In The Newsroom Nov 23
How FT optimises it’s data graphics - insights from : Text is critical! Makes accessible to non charts people. Invites and listens to audience feedback
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Joshua Ebner Nov 23
Replying to @Josh_Ebner
8/ For example, the syntax to create a scatterplot and the syntax to create a beautiful map are very, very similar. In both cases, you're fundamentally just plotting points on an x-y grid.
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Joshua Ebner Nov 23
Replying to @Josh_Ebner
3/ ggplot2 takes care of a lot of formatting for you: – background colors – gridlines – fonts With only a few lines of code, you can create a plot that would almost be ready for a presentation. (Almost.)
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Joshua Ebner Nov 18
Replying to @Josh_Ebner
10/12 These will help the viewer intuitively understand the relationship between "months to halving" and bitcoin price increases.
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Joshua Ebner Nov 19
Replying to @Josh_Ebner
3/6 There's no title on Matthew's chart, but I'm 95% sure that this is covid19 data. If so, this shows you a lot of covid19 data, by state, in a single chart.
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Anne Gibbon Nov 19
More Covid viz: the change in size of red balls in + / - of deaths/100k ppl/ day. Also added policy data from to 👀 for patterns over 🕰 between measures like work/school closure, mandatory masks, etc, and overall case and death numbers.
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Joshua Ebner Nov 18
Replying to @Josh_Ebner
8/12 This has the effect of making changes in color appear to be uniform and directional. Effectively, perceptually uniform sequential color schemes are easy to interpret, and work well when applied to directional, numeric data.
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Ben Engel 4h
Amazing ! Really gives you a new perspective on the fluid dynamics of the atmosphere. 🌎🌊
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