A data set is the resource that will contain your location data (.csv
files).
You create a new data set for each collection of .csv
files with location records you have.
For example, one data set can contain .csv
files with GPS records of cars.
Another data set could contain people’s location during an indoor event.
by first clicking on the Data sets button in the left navigation bar
and then on the Create new data set button in the top right corner of the Data sets page.
by specifying the Name, the Data type, the Asset or entity type and the Description.
The Name is used in the UI when we need to refer to that layer. This is a good location to add some more details about this data set.
The Data type of the data set indicates what kind of data set you want to create. This depends on the data you want to upload. The different types of data sets article explains the differences between the different types. You can choose between:
Movement Data (Locations, time stamps, and attributes in CSV files for things or people that move)
Time Series Data (temporal data in CSV files for fixed shapes defined as points, lines, or polygons in GeoJSON files)
GeoJSON Data (GeoJSON files without time information)
You have to describe either What is moving or What your shapes represent. Examples are persons, vessels, airplanes for things that move, or devices, sensors, areas for shapes that remain in place. This name will be visible on the analytics pages.
The optional description is shown on the overview page with all the data sets.
Once you have filled in the form, press the Create data set button.
At this point, the data set is created, but it doesn’t contain any location data yet.
You need to upload your .csv
and .geojson
files to the data set before you can do anything useful with it.
Data sets containing movement data: see the data upload article for movement data for more information on how to do this, or follow a tutorial where you will upload some sample movement data to a data set.
Data sets containing time series data, measured in a fixed location: see the data upload article for time series data for more information on how to do this, or follow a tutorial where you will upload some sample time-series data to a data set.