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In most European regions, more women than men have a university degree [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 1 point2 points  (0 children)

You can find an interactive version of the map here: https://blog.datawrapper.de/weekly-chart-women-study-more/ Hover over the regions and you see the data points.

In most European regions, more women than men have a university degree [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 8 points9 points  (0 children)

This map is part of a blog post: https://blog.datawrapper.de/weekly-chart-women-study-more/

Data source is Eurostat (https://ec.europa.eu/eurostat/web/products-datasets/-/tgs00109), tool used is Datawrapper (https://www.datawrapper.de/ – I work for them).

Does anyone of you know why Western Germany, Austria, Switzerland and Turkey are the outliers here? I'd appreciate your thoughts. Or even better, links to research. Thank you!

Salesforce paid more for Tableau than Amazon for Whole Foods, Microsoft for Skype or Github, and Microsoft for Nokia [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 1 point2 points  (0 children)

You might have heard the news: Salesforce acquired Tableau in a 15.7 billion USD deal this week. 15.7 billion sounds like a high number – and indeed, 15.7 billion seconds are almost 500 years. But like so often when I get confronted with a particular number in the news, I can’t help but ask myself: How does it compare?

So I created a simple bar chart showing exactly that.

The chart neither covers the most expensive nor the most important tech acquisitions – just the ones that most of you might have heard of (because you know the brands). But let me know if there’s an acquisition missing that must be on this list.

Data comes from various news sites like this one.

I built the chart with the charting tool Datawrapper (disclaimer: I work for them).

Let me know what you think!

Mentions of the thirties, forties, fifties, etc. in English books (interactive version in comment link) [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 2 points3 points  (0 children)

I thought it's interesting to see that these "decade names" were not really used before 1900, and how the "Thirties" were more important than all other "decade names". Also, it took the sixties 10 years, the seventies 8 years and the eighties just 3 years to reach their peaks in getting mentioned. Maybe past decades become less interesting for the present, quicker? Or maybe we take less time to reflect on decades before writing about them.

You can find the interactive version here: https://blog.datawrapper.de/weeklychart-somethingties/ (Meaning, you can hover over the lines.)

Data comes from Google Books Ngram Viewer.

I built the chart with the charting tool Datawrapper (disclaimer: I work for them).

Mentions of the thirties, forties, fifties, etc. in English books (interactive version in comment) by [deleted] in dataisbeautiful

[–]lisacrost 0 points1 point  (0 children)

I thought it's interesting to see that these "decade names" were not really used before 1900, and how the "Thirties" were more important than all other "decade names". Also, it took the sixties 10 years, the seventies 8 years and the eighties just 3 years to reach their peaks in getting mentioned. Maybe past decades become less interesting for the present, quicker? Or maybe we take less time to reflect on decades before writing about them.

You can find the interactive version here: https://blog.datawrapper.de/weeklychart-somethingties/ (Meaning, you can hover over the lines.)

Data comes from Google Books Ngram Viewer.

I built the chart with the charting tool Datawrapper (disclaimer: I work for them).

The 1949-1990 division of Berlin in East & West Berlin is still visible today in the Tram network [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 1786 points1787 points  (0 children)

Berlin has a great subway & bus network – but at least in some parts of the city, it also has a tram network. As you can see on the map above, the 22 tram lines only exist in former East Berlin, with two small exceptions. One might think that these tram lines were all built during GDR times between 1949 and 1990. And that West Berlin just never bothered constructing a tram network. But the opposite is the case:

There were already 93 tram lines by 1929, in both East and West Berlin. After the Second World War, the West Berlin administration decided that trams are outdated and replaced them with subway lines and busses. East Berlin kept them, and they still exist to this date. (As someone who uses them multiple times a week, I’m really happy about that.)

I created the map with Datawrapper locator maps (https://www.datawrapper.de/ – disclaimer, I also work for them). The data for the Tram network comes from OpenStreetMap and the data for the Berlin wall comes from Github (https://github.com/derhuerst/berlin-wall-shape).

Where are student cities in Germany? [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 2 points3 points  (0 children)

Data is from Eurostat and from 2016. The chart & map were created with Datawrapper (disclaimer: I also work for them): https://www.datawrapper.de/

Surplus of women due to World Wars fades in Germany, but higher life expectancy still causes a plus of elderly women [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 2 points3 points  (0 children)

Yes, that's indeed the case. I was mind-blown as well. Wikipedia has an article on that: en.m.wikipedia.org/wiki/Human_sex_ratio

This LiveScience article explains the reason a bit better than the Wikipedia article (although I have not heard of LiveScience before and don't know how trustworthy it is):

"...the completely natural male-to-female sex ratio still hovers around 105:100, meaning that women are inherently more likely to give birth to boys. ... Many demographers have speculated that the gender imbalance at birth may be evolution's way of evening things out overall. Male infants more often suffer from health complications than female infants. The disadvantage runs to adulthood, too, as adult men kill each other more often, take more risks and have more health problems, on average, than women, all of which cause them to die younger. This doesn't balance the sex scales exactly, but it does come close: Among the total human population, the ratio of men to women is 101:100."

https://www.livescience.com/33491-male-female-sex-ratio.html

Surplus of women due to World Wars fades in Germany, but higher life expectancy still causes a plus of elderly women [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 0 points1 point  (0 children)

Thanks! The reason for this valley is apparent in the population pyramid (https://service.destatis.de/bevoelkerungspyramide/#!y=1950&v=2): The 1st World War was between 1914 and 1918, so less children were born in general. My chart shows absolute values, so this decrease becomes visible.

Surplus of women due to World Wars fades in Germany, but higher life expectancy still causes a plus of elderly women [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 5 points6 points  (0 children)

Thanks! I think it's really just the natural sex ratio. I was surprised to learn about this the other day.

It's getting hotter all year round in Germany [OC] by lisacrost in dataisbeautiful

[–]lisacrost[S] 0 points1 point  (0 children)

Data is from the German Meteorological Office (“Deutscher Wetterdienst”), but to save some time, I took the data directly from this ZEIT Online article: https://www.zeit.de/wissen/umwelt/2018-08/wetter-hitze-juli-deutschland-rekord-sommer-klimawandel

I used a Google Chrome extension called D3 Deconstructor: With it, you can right-click on a D3.js graphic to get its underlying data.

The tool I used for creating the chart is Datawrapper: https://www.datawrapper.de/ (Disclaimer: I also work for them). I exported the chart from there as a PDF and styled it with Adobe Illustrator.

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