Let's have a look at the available data before we define the corresponding dataset object.
...
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 |
|---|
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 |
|---|---|---|
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 |
...