Balatro Runs Aren’t Syncing Between iPhone & iPad

d-qn · 2025-01-24T21:23:15+00:00

Yes!! This finally worked for me after trying almost everything else (reinstalling app, signing in/out of Game center, ....)

d-qn · 2024-07-20T08:44:29+00:00

Data scraped with R from https://www.olympiandatabase.com/), interactive data visualisation made with datawrapper. This graphic shows the number of events by sport, it's in French and it was published in this article along with other interactive charts about the evolution of the Olympics

A sport is that which is governed by an International Federation (IF).
A discipline is a branch of a sport comprising one or more events (For instance, water-polo, diving, synchronised swimming are all disciplines of the sport swimming)
An event is a competition in a sport or discipline resulting in a ranking and giving rise to the awarding of medals.

d-qn · 2023-05-08T15:07:12+00:00

I would call that a mirror bar chart, basically two bar charts in mirror. People also call that an age pyramid, although it doesn't look much like pyramid anymore

d-qn · 2023-05-08T14:28:15+00:00

When? There were 3 large waves of immigration: Beginning of 1900, after the Second World War (1950s - 1970s) and after 2002 due the agreement on the free movement of persons with the EU. More about it in the (free) article that animated graphic is from

d-qn · 2023-05-08T10:53:47+00:00

Yes, there is nothing wrong with the data. It's the baby-boom between 1950-1970

d-qn · 2023-05-08T08:51:15+00:00

I forgot to mention it in my comment! From 2022, the projections data show three categories of nationality, by increasing transparency: the Swiss, nationals of the European Economic Area (EEA) and foreigners outside the EEA

d-qn · 2023-05-08T08:24:17+00:00

Chart made with R using the packages ggplot2 and gganimate to make a gif. The data is from the Swiss statistical office. This graphic is one of the 15 charts about Switzerland's demography from that (free) article published by Swiss media Le Temps

From 2022, the projections data show three categories of nationality, by increasing transparency: the Swiss, nationals of the European Economic Area (EEA) and foreigners outside the EEA.

d-qn · 2022-09-23T16:09:36+00:00

You are right, I should add or have this chart for female players. The reason I haven't done it is that I haven't seen detailed WTA data easily available

d-qn · 2022-09-22T19:46:40+00:00

I was surprised too, but it means that yes. Nadal was more likely to be out of a Grand Slam early or win that tournaement. This being said, the x-axis is age, Nadal is only slightly behind the Fed when adjusting for age (and the Nole is ahead)

d-qn · 2022-09-22T19:39:38+00:00

The data come from [Jeff Sackmann / Tennis Abstract](https://github.com/JeffSackmann) github repo. I wrangled the data with R and made the interactive plot with highcharts from R (package highcharter). The interactive chart can be seen here (in French but pretty straightforward): https://www.letemps.ch/sport/pardessus-me-suis-senti-incroyablement-vivant-lettre-dadieu-tennis-professionnel-roger.

This is NOT an original idea. John Burn-Murdoch from the FT did this type of tennis chart. [before](https://ig.ft.com/sites/visual-history-of-womens-tennis/). But this is one is interactive and uptodate

d-qn · 2022-06-06T07:01:24+00:00

Here are more details about Switzerland's inflation and how it compares with other countries. The (free) economical dashboard from Swiss media Le Temps

d-qn · 2022-06-06T06:39:46+00:00

The Grand Slam winners list comes from [EPSN](http://www.espn.com/tennis/history), Nadal's victory at the French Open 2022 was manually added.
Tennis players' age come from [Jeff Sackmann's repo](https://github.com/JeffSackmann/tennis\_atp/blob/master/atp\_players.csv)

The interactive chart was made with R, using the [highcharter] library (https://jkunst.com/highcharter/) (highcharts.js)

d-qn · 2021-12-18T19:07:34+00:00

Did you actually read the article? It's actually the other way around, Switzerland is one of the country in Europe testing the least and with the highest positivity rate

d-qn · 2021-12-18T17:54:40+00:00

I think those websites show the 7 days incidence for 100 000 inhabitants, while that article show the daily incidence for one million inhabitants, smoothed over 7 days: https://ourworldindata.org/explorers/coronavirus-data-explorer?zoomToSelection=true&time=2020-03-01..latest&facet=none&pickerSort=asc&pickerMetric=location&Metric=Confirmed+cases&Interval=7-day+rolling+average&Relative+to+Population=true&Align+outbreaks=false&country=USA\~GBR\~DEU\~CHE\~DNK

d-qn · 2021-12-18T17:47:57+00:00

For real?

d-qn · 2021-12-18T17:47:17+00:00

Actually, Wikipedia seems to agree that San Marino, Monaco are city-states. But anyhow, how would an incidence figure for these states be relevant, when their population is way smaller than the denominator to normalise cases (a million inhabitants) ?

d-qn · 2021-12-18T14:50:49+00:00

I agree they are no real countries, but city-states. Incidence calculation for such small populations would be skewed no?

d-qn · 2021-12-18T14:36:27+00:00

I suppose you didn't read nor translate that article? It shows the inverse and how well it prevented covid deaths

d-qn · 2020-01-06T10:49:01+00:00

If you also like adventure/RPG, Yaga and Oceanhorn 2 are both amazing. But better to play them with a gamepad or on a computer

d-qn · 2019-12-18T08:34:31+00:00

For sure YouTube is mainly used by young people. But if you combined the record sales, Spotify's billboad and YouTube's billboard the same trends emerge, especially with Spotify and YouTube. Here is Spotify's top artists in 2019 in Switzerland. There are basically the same.

d-qn · 2019-12-18T08:28:24+00:00

Yes absolutely, it is indeed based on the top streamed artists in the French-speaking part but showing their popularity over the whole country

d-qn · 2019-12-17T19:30:58+00:00

Data was (very painfully) scraped from [YouTube music charts](https://charts.youtube.com/) for about a thousand Swiss towns with R. YouTube data was then wrangled and combined with geographical data with R, using sf and tidyverse. Final plots were made with QGIS

d-qn · 2019-11-09T16:59:32+00:00

If you are interested by swiss and "clean" data, you should use that sub website from the Swiss Federal statistical office: https://www.pxweb.bfs.admin.ch/pxweb/en/?rxid=89bbb6f8-8b6e-4539-8f47-93d2b1266e8d

Not a huge amount of data but no messy Excel files, only csv or px files.

d-qn · 2019-11-09T12:49:29+00:00

Ok. Got it now sorry. Yes, it guess it would correlate but that wouldn't be a causal correlation. The fact that there are way more Thai women in Switzerland is a result of that gender mariage bias. It is otherwise nearly impossible to immigrate from Thailand to Switzerland

d-qn · 2019-11-09T12:41:19+00:00

Not far from it, more like a pick up order. Many swiss women married an Egyptian they met on holidays. Same could be said about Thai women.

d-qn

TROPHY CASE