yotka - Network

Graphs like the second one can be made for any location in the world using my MeteoHist web app:...

Graphs like the second one can be made for any location in the world using my MeteoHist web app: https://yotka.org/meteo-hist/?lat=17.0604663&lon=-96.7253575&metric=temperature_max

#ClimateChange #DataVisualization #EnvironmentalScience #DataViz

"Extraordinarily" refers to values above the 95th percentile or below the 5th percentile of the reference period (1961-1990). In...

"Extraordinarily" refers to values above the 95th percentile or below the 5th percentile of the reference period (1961-1990). In other words, 70% of all days in 2024 had temperatures that would usually only be observed 5% of the time.

🌡️ The recent #HeatWave in #Mexico has been intense, with cities like #Oaxaca experiencing prolonged periods of extreme temperatures....

🌡️ The recent #HeatWave in #Mexico has been intense, with cities like #Oaxaca experiencing prolonged periods of extreme temperatures. Here's a visualization I created about the number of hot and cold days. In 2024 104 out of 148 days (70%) were extraordinarily hot. #dataviz 📊

Nice #datavizhttps://www.youtube.com/watch?v=PAHYCiiXQlQ

Nice #dataviz
https://www.youtube.com/watch?v=PAHYCiiXQlQ

These plots were made using @plotlygraphs. The first one was inspired by a graph by @nassos_ and @erwanrivault The code can be found on...

These plots were made using @plotlygraphs. The first one was inspired by a graph by @nassos_ and @erwanrivault

The code can be found on GitHub: https://github.com/yotkadata/30DayChartChallenge/tree/main/2024/day_21_green_energy

These numbers come with a grain of salt, though: These relative numbers are influenced by the overall decline of electricity production...

These numbers come with a grain of salt, though: These relative numbers are influenced by the overall decline of electricity production (partly substituted by imports). At the same time, the growth of electricity production is real. Both can be seen in the attached graphs.

For day 21 of the #30DayChartChallenge (green energy), I updated a visualization I made about a year ago. It shows daily electricity...

For day 21 of the #30DayChartChallenge (green energy), I updated a visualization I made about a year ago. It shows daily electricity production shares from renewable sources in Germany. The good news: The yearly average has risen to almost 56% in 2023, with daily peaks of above 80%.

📊 #dataviz

I'm not sure how many days I will manage to participate in the challenge (I don't believe too many). But this a definitely a great...

I'm not sure how many days I will manage to participate in the challenge (I don't believe too many). But this a definitely a great initiative by @CedScherer, Dominic Royé, Wendy Shijia, and Ansgar Wolsing. Thanks!

My contribution for day 1 of the #30daychartchallenge (part-to-whole): Global military expenditure as documented by the SIPRI Milex Database...

My contribution for day 1 of the #30daychartchallenge (part-to-whole): Global military expenditure as documented by the SIPRI Milex Database (https://milex.sipri.org/sipri). It will be very interesting to see how those numbers evolved in 2023, but that data is still not available.

Happy to see my map on the Guyana/Venezuela conflict over Esequibo published on amerika21.de...

Happy to see my map on the Guyana/Venezuela conflict over Esequibo published on amerika21.de today.

https://amerika21.de/2023/11/266992/venezuela-guyana-spannungen-verschaerft

Some more context information to the #datavisualization of data from IOM's Missing Migrants Project: Yearly data for the region that is...

Some more context information to the #datavisualization of data from IOM's Missing Migrants Project: Yearly data for the region that is hovered.

https://yotka.org/missing-migrants/

Each circle represents one of more than 13,000 incidents from the IOM database. The circle's size indicates the number of people...

Each circle represents one of more than 13,000 incidents from the IOM database. The circle's size indicates the number of people affected. The Mediterranean has by far been the region where most people died or went missing since 2014: More than 28,000. #migration

58,444 dead or missing human beings have been documented by the Missing Migrants Project of the International Organization for Migration...

58,444 dead or missing human beings have been documented by the Missing Migrants Project of the International Organization for Migration (IOM) since 2014 (latest incident: Sep 5th 2023).

The actual number is likely much higher.

Here's a #Datavisualization I made of that horrendous number.

Interactive version (might be slow): https://yotka.org/missing-migrants/

Wusstest du, dass das reichste 1% in Deutschland mehr als 1/3 des Vermögens besitzt? Hier ist eine #DatenVisualisierung der...

Wusstest du, dass das reichste 1% in Deutschland mehr als 1/3 des Vermögens besitzt? Hier ist eine #DatenVisualisierung der Vermögensverteilung, die ich erstellt habe.

Die obersten 10% haben etwa 2/3 der Vermögen konzentriert. Die untere Hälfte besitzt zusammen kaum mehr als 1%.

Did you know that the top 1% own more than 1/3 of Germany’s wealth? Here's a #DataVisualization of wealth distribution in Germany I...

Did you know that the top 1% own more than 1/3 of Germany’s wealth? Here's a #DataVisualization of wealth distribution in Germany I made.

About 2/3 of all individual net worth is concentrated in the hands of the top 10%. The bottom half as a whole own little more than 1%.

Data is from 2019. The calculations are by @DIW_Berlin
. In 2019 they adopted a new approach to get more accurate estimates especially for the richest. Here they explain it (in German):
https://www.diw.de/de/diw_01.c.793802.de/publikationen/wochenberichte/2020_29_1/millionaerinnen_unter_dem_mikroskop__datenluecke_bei_sehr_ho___geschlossen______konzentration_hoeher_als_bisher_ausgewiesen.html

I wasn't even using Mastodon a year ago. Here's the Twitter thread when I published...

I wasn't even using Mastodon a year ago. Here's the Twitter thread when I published it:

https://twitter.com/derjaku/status/1568289512773808129

Wow, I just realized that it's been one year since I published my first #DataVisualization project - Covid Waves. It was an animated map...

Wow, I just realized that it's been one year since I published my first #DataVisualization project - Covid Waves. It was an animated map showing how the novel Coronavirus Sars-CoV-2 spread through Europe.

It has been an intense year and I have learned so much since then.

I'm happy to see that two of my projects made it to this year's #IIBAwards longlist.So many great works, have a...

I'm happy to see that two of my projects made it to this year's #IIBAwards longlist.

So many great works, have a look:
https://informationisbeautifulawards.com/showcase?award=2023&type=awards

My Projects:
https://informationisbeautifulawards.com/showcase/5964-covid-waves
https://www.informationisbeautifulawards.com/showcase/5956-meteohist-historical-meteo-graphs

Of course MeteoHist is still available here:https://yotka.org/meteo-hist

Of course MeteoHist is still available here:
https://yotka.org/meteo-hist

So if you want to learn how to create a graph like this, check out the tutorials I wrote both for #Matplotlib and...

So if you want to learn how to create a graph like this, check out the tutorials I wrote both for #Matplotlib and #Plotly:
https://python-graph-gallery.com/524-area-chart-over-flexible-baseline/

Or have a look at the Notebook directly:
https://github.com/holtzy/The-Python-Graph-Gallery/blob/master/src/notebooks/524-area-chart-over-flexible-baseline.ipynb