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We continue our journey around the world of data by exploring two datasets with geographical distributed data. The first dataset is Every Pub in England. This dataset contains the unique id, name, address, postcode and geographical position data for every pub in England. The second dataset is Starbucks Locations Worldwide. This dataset contains the store number, name, ownership, as well as street address, city and geographical information (latitude and longitude) for all Starbucks stores in the world. We will combine these two datasets and will add also additional geographical support data. We will learn how to work with missing data and perform data imputation if needed, how to visualize geographical data, how to clip and merge polygon data, how to generate custom maps and create multiple layers over maps.
