How to import tweets to CartoDB with Python

I have been quite busy these last couple of weeks. On the 3rd of December I attended to the CartoDBeers and Workshop for data journalists at CartoDB Headquarters to be prepared for the next Spanish general elections. Then on the 5th of this month, Carmen Langa and me organized a kids map workshop at Medialab-Prado. But this requires a whole blog post to explain how much fun we had! Finally, last thursday I went to Campus Madrid at the last stop of the LocationTech Tour. It was quite interesting to listen to all the people from CartoDB, QGIS, Glob3mobile and Boundless.

And in the meantime I manage to figure out how to import tweets from twitter to CartoDB using Python:

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How to geocode and visualize your data with CartoDB

In the last post we geocode our data with R. But the geocoding process did not work enterely right. Some points were badly geolocated. In this post, I will explain how to subset these outliers, correct their coordenates and finally, visualize the entire dataset both using R and CartoDB.

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How to geocode your data with R

In my first post I would like to introduce you one of the easiest ways to geocode your data. Geocoding is one of the most essential functionalities within the spatial analysis. It allow us to transform a description of a location, generally an address, postcode or similar, into a pair of coordinates -longitude, latitude or X, Y-. Then we can map our data.

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