Apologies, I forgot to include the link to the repo:
https://github.com/jennybc/gapminder

On Mon, Jan 23, 2017 at 7:56 AM, François Michonneau
<[email protected]> wrote:
> Hi Lex,
>
>   The data we use for the lessons (at least for R) are actually coming
> from the gapminder R package put together by Jenny Brian. The package
> contains the code used to tidy the data from the spreadsheets made
> available by the gapminder website. It might be worth putting a pull
> request together to update the data there, and then it will be easy to
> update the data in our lessons.
>
>   Cheers,
>   -- François
>
> On Mon, Jan 23, 2017 at 7:20 AM, Lex Nederbragt
> <[email protected]> wrote:
>> Hi,
>>
>> The gapminderDataFiveYear data that I have on my harddisk, and the ones from
>> the python and R lessons using the gap minder data, runs from 1952 to 2007.
>> I thought it would be nice to add the 2012 data, it being 2017, after all.
>>
>> So I went to what I guessed to be the original source,
>> https://www.gapminder.org/data/ (that was easy), and checked a few of the
>> population size numbers from the years in the datasets we use. I choose
>> "Population, total” as dataset, which can be viewed as google sheet here.
>> The numbers are not the same, in some cases they are quite much lower or
>> higher, while in others they are more close.
>>
>> The other data sources are a bit harder to compare. There are a few
>> GDP/Capita datasets, I think "Income per person (GDP/capita, PPP$
>> inflation-adjusted)” comes closest, but the numbers are quite a bit higher
>> than in ‘our’ dataset. "Life expectancy (years)” is close, but also off.
>>
>> Should we update our numbers and add 2012? This could be done with some
>> smart webscraping, I think?
>>
>> Best,
>>
>> Lex Nederbragt
>>
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