When I make data visualizations I use the software @Tableau.
It is great, though very expensive ($70 per month) – but amazingly, if you are a student, professor, or academic they make it available to you for free.
We call it Our World in Data Grapher and it’s available open source here github.com/owid/
@tableau@OurWorldInData Non-interactive visualizations – one-off visualizations that are a bit more unusual – I almost always start in @tableau.
I load the data, explore it and build the basic visualization there.
Tableau is super powerful and you can do all kinds of things.
@tableau@OurWorldInData And once I have the main visualization built in Tableau I export it as a pdf and import it into Adobe Illustrator where I finish it all.
I put a title on top, add explanations into the visualization, choose the colors, add source information, etc. etc.
This last point is one of my data-viz-tips for every situation:
I think some people spend way too much time adding nice annotations and titles in their data-analytics software (R, Stata etc.) when it’s much better to export the chart and add those in a graphics-software instead.
Anyways, the main point of this thread was to tell all you academics out there that you can get @tableau for free.
And to thank @tableau for making their awesome software available for free to me and my colleagues at @OurWorldInData. Thank you!
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@JKSteinberger@musta_joutsen@_HannahRitchie Hi Julia. I’ve been thinking about this paper after I read it last weekend and I I just can’t understand how you possibly wrote this paper.
I don’t understand how you ever thought it was reasonable to think of measuring human needs with a poverty line of $3.20?
But the fact that you relied on this extreme poverty line in your research paper is not a minor thing in this paper. It is what is driving your main result.
@JKSteinberger@musta_joutsen@_HannahRitchie If you would have relied on any reasonable poverty line – $20, $30, $40 a day – you would have obviously found that *the world needs very, very large growth to end poverty*.
2/ Research shows: a person's home country explains *two-thirds* of the variation of income differences between all people in the world ourworldindata.org/poverty-growth…
This means where you are born is more important for how poor or rich you are than *everything else put together*.
3/ If you do have a high income, you have the opportunity to give some of your money away to support others who were less lucky than you.
In their mission statement the @Guardian says that their work wants to "improve the world, not just critique it" and they want to "bring about a more hopeful future".
👇 This is their front page right now.
I am skeptical that their work "brings about a more hopeful future".
I was tweeting the above cause I want to achieve what the Guardian says in their mission.
I want my work to improve the world and I want to bring about a more hopeful future.
A chart from a very interesting, ongoing research project of Roger Fouquet at the LSE lse.ac.uk/granthaminstit…
He estimates the 'Net Domestic Consumer Surplus' – as a measure of economic welfare to complement GDP – for the UK over the last 300 years.
It's a very ambitious project – he has to do extensive historical data work to reconstruct the consumption of goods and services over the last three centuries.
As Roger mentions in the link above, he is looking for funding to finish this work.
Do you know a person or an institution that would be interested to fund this research project?