Usually when I plot something and last samples are (near) zero, I think the dataset is incomplete for recent samples. But here? No: Not noise, signal, COVID19.
Nice visualisations in a report on the effect of COVID19 on internet traffic at the application level. Reports a large increase in bandwith usage (known), extremely large increase in video conferencing (gut feeling, now based on data) https://storage.googleapis.com/site-media-prod/meetings/NANOG79/2208/20200601_Labovitz_Effects_Of_Covid-19_v1.pdf
I like this New York Times front-page data-visualisation…
Jittered violin plots on nrc.nl (https://www.nrc.nl/nieuws/2020/04/27/waarom-rutte-zo-voorzichtig-is-de-epidemie-laat-zich-lastig-meten-a3996722): Would they have chosen these because they are much more intuitive than boxplots?
I made a quick chart based on stichting NICE data (with pandas/altair/jupyter lab) that I could not find for the Netherlands: cumulative outcome after n days.
…but there is much more potential for visualizations.
A real world example: properly salted hashes that leak (https://www.rtlnieuws.nl/tech/artikel/5095321/covid19-alert-datalek-crypto-digibyte-coronavirus-ministerie-app) can be leaked if users have bad passwords
After 3 clicks I'm no longer sure open-source would give me more confidence in the apps…
This project's build status is almost poetic… https://github.com/softwaremill/retry
SURFnet (in Dutch) on the changes on their network at the start of the network. Traffic patterns inverted, traffic links to consumer isps close to congestion (and traffic being rerouted), research networks perform fine due to being over dimensioned
Besides zoom's end-to-end encryption not actually being end-to-end on my calls, it is not enabled by default.
It trips me up to read quotes by economists on social distancing, such as https://twitter.com/_basjacobs/status/1244257995414016000.
The value of a statistical life & social distancing as a redistribution of wealth from young to old & the value of the gain from social distancing by age group…
There are a lot of - seemingly ggplot - visualizations in the briefing for the Dutch House of Representatives about COVID-19 yesterday.
My dataviz take-away: It's almost impossible to interpret the median among overplotted lines in a chart.
These COVID data visualizations are a bit depressing. Still, I like the UI/UX of http://gabgoh.github.io/COVID/index.html
NRC published a series of deserted places today - https://www.nrc.nl/nieuws/2020/03/13/coronavirus-zorgt-voor-een-uitgestorven-nederland-a3993695 . I can confirm Amsterdam Central _really_ felt quiet today... Feels like the calm before a storm.
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