Lee Meng said:
I think the biggest problem is not in finding data, but the data's correctness,
sometime it's difficult to verify the data you found is right or wrong, should be care about that.
This course will become read-only in the near future. Tell us at community.p2pu.org if that is a problem.
Congratulations. You took the first steps on your way to becoming a master data wrangler. You tackled some of the most important tasks that are part of the data wrangling pipeline [link].
What struck me is that a lot of data is scattered around the place, in different formats, hard to compare, and never seems to be complete.
Getting the right data to 'prove your point' (or to discover similarities or differences) still takes a lot of work. (echoing Joris, more or less.)
I think data is useful when you want somewhere to start and help inform your practice. I think both qualitative and quantitative data are useful. There were many interesting sites that people have shared, and which have led me to some excellent sites in Australia including the Australian Data Archive http://www.ada.edu.au/.
hmmm, yes, a nice & new experience. P2PU looks like it's worth pursuing.
Can't help myself questioning, though -- reflection here seems to be something that is relegated to the finish of an activity. Reflective practice, on the other hand, integrates it into in situ learning. No doubt, many other learning designs will be used in P2PU
As noted in the previous comment, the European dataset was not useful because of all the provinces were included. It would become possible if you can take the average for each country which is probably possible with a little bit more time. For now, the worldbank dataset was enough to see that the Netherland has the highest population density in the European Union