Let's have a look at the available data before we define the corresponding dataset object.
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The data we will visualize in this tutorial represent our customers. The anonymized table contains each customer's internal ID, city, address, sex, age group and most importantly - latitude and longitude of the address. The table also contains code of the neighborhood to which the address belongs, which we'll use later.
Info |
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This tutorial contains geocoded data - we know the latitude and longitude of the address. This does not always have to be the case. In case you need to geocode your data - use one of the web services, e.g. OpenCage Geocoder, or contact us. |
The CSV file can be downloaded here: customers.csv
Name | Title | Data type |
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customer_id | Customer ID | integer |
neighborhood_code | Neighborhood code | string |
city | Customer's city | string |
address | Customer's address | string |
sex | Customer's sex | string |
age_group | Customer's age group | string |
lat | Address latitude | latitude |
lng | Address longitude | longitude |
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