This was my first time taking part in the 30DayChartChallenge, a monthly community challenge centered around data visualization that takes place in April each year. I managed to complete 12 (sets of) charts, which was fun because I usually work on longer projects! It was also nice to check out what others had cooked up. I’m looking forward to the next year!
1. Comparisons – Fractions
I’ve wanted to highlight this important data on the age distribution of victims of sexual abuse, for a while. It’s a grim topic but a crucial one!
Data source: https://cde.ucr.cjis.gov/LATEST/webapp/#/pages/downloads
Tools: Observable, Inkscape
2. Comparisons – Slope
Data source: World Inequality Database via Our World in Data (see the link below for the data’s URL)
Tool: Flourish
URL with interactive tootip: https://public.flourish.studio/visualisation/22338095/
3. Comparisons – Circular
The USA VASTLY outspends everyone else on the military, yet they still consider everyone but themselves as a threat to the world (and to themselves to be honest).
Tools: Echarts Apache, Inkscape
5. Comparisons – Ranking
Tools: Rawgraphs, Affinity Designer
7. Distributions – Outliers
Tools: R, Affinity Designer
9. Distributions – Diverging
I used the UN’s historical population data to show regional population pyramids, one static chart made with R, and an interactive one made with D3, which is accessible here: https://alraven3.github.io/Population_pyramid_D3/
11. Distributions – Stripes
#ShowYourStripes
Tools: Prof. Ed Hawkins’ website + Inkscape
ShowYourStripes website: https://showyourstripes.info/
12. Distributions – Data.gov (data day)
Tools: some wrangling with R and Excel; Flourish
Interactive version is here: https://public.flourish.studio/visualisation/22575865/
16. Relationships – Negative
Tool: Flourish
Data: football data provided by fbref.com (valid as of April 11)
Here’s the link for the interactive version: https://public.flourish.studio/visualisation/22598073/
19. Timeseries – Smooth
I used NASDAQ’s historical data (specifically the High’s and Low’s) and plotted a 30-day moving/rolling average since Tesla stocks really started rising (in 2020) and until last week (I think).
Tools: Python, including Joseph Barbier‘s morethemes and pyfonts packages!
(See here for the packages: https://github.com/JosephBARBIERDARNAL)
21. Timeseries – Fossils
I’ve used a really cool dataset maintained by an international group of paleontologists.
It’s probably not the most accurate approach (as shown in the outlier), but I created this timeseries based on the nomenclature! I’m intrigued by the fact that there are little to no new registered discoveries after 2017…
I highly recommend checking out their website which includes maps, data explorer, API, etc: https://paleobiodb.org
Tool: R
24. Timeseries – WHO (data day)
One of my takeaways from this month is just how useful and cool Flourish is as a tool (there’s even a new “start with the data” option now).
One of the two big benefits of interactivity for dataviz is a) being able to look at the values for specific data points or categories and b) filtering between levels and groups/categories. And it’s so easy to add this to any chart with Flourish!
For this day n° 24 I wanted to use the WHO’s Global Health Expenditure Database and I created multiple charts to compare how efficient they are from a visual communication standpoint. Of course this is the boring and usual observation but streamgraphs and stacked area charts, while kinda fun, aren’t as precise and intuitive as good old bar charts.
Tool: Flourish
Links to interactive versions:
1. Stacked ordered area chart: https://public.flourish.studio/visualisation/22624209/
2. Stacked ordered % area chart: https://public.flourish.studio/visualisation/22624438/
3. Ordered streamgraph: https://public.flourish.studio/visualisation/22624448/
4. Grouped vertical bar chart: https://public.flourish.studio/visualisation/22624456/
5. Small multiples vertical bar chart: https://public.flourish.studio/visualisation/22624499/
6. Stacked % vertical bar chart: https://public.flourish.studio/visualisation/22624516/
Alexandre Bovey