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- 11/07/16--17:16: Batch Geocoding in Python with Google Geocoding API
- 03/05/17--07:14: Merge and Join DataFrames with Pandas in Python
- 04/11/17--02:42: Using big data to create better mobile video games
- 10/11/17--14:49: The Irish Property Price Register – Geocoded to Small Areas
Geocode your addresses for free with Python and Google For a recent project, I ported the “batch geocoding in R” script over to Python. The script allows geocoding of large numbers of string addresses to latitude and longitude values using the Google Maps Geocoding API. The Google Geocoding API is one of the most accurate geocoding […]
Merging and Joining data sets are key activities of any data scientist or analyst. In this tutorial, we explore the process of combining datasets based on common columns quickly and easily with the Python Pandas library and it's fast merge() functionality. Finally conquer merging and become a master with this 2-part tutorial.
A lot of modern-day games, especially the ones being developed for mobile, are built on business models revolving around data. Understanding how the audience thinks and responds with a product, as well as knowing how retention works in gaming, are both important in paving the way for the future of gaming.
Many precious hours have been lost to Character encoding errors and EOF character errors in CSV files being read by the Pandas read_csv file. This is an incredibly frustrating start to any analysis! Hopefully this post will save some people from the same fate!
In this post, geocoded data for all property price sales in Ireland from 2012-2017 is available. Data is sourced on the Irish Property Price Register and geocoded using the Google geocoding script in Python. All of the GPS latitude/longitude coordinates are further tied to census small area and electoral division boundaries.