In this tutorial, you will learn how you can upload your point data into the xyzt.ai platform so that you can start analyzing it. Point data is data that consists of many points representing discrete locations or events. Examples include locations of car crashes or other incidents.
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The platform supports multiple types of data sets. |
Point data is defined by one or more CSV files (.csv) or Parquet files (.parquet).
Each entry in the file contains at least the location (longitude, latitude) of the point, a timestamp, and possibly additional attributes.
Uploading point data files is a multi-step process:
You need to tell the platform which properties in your input files correspond to the longitude, latitude, and timestamp.
In case the input files contain additional custom properties, you need to tell the platform which ones you are interested in.
Once the platform has this information, you can start uploading the .csv or .parquet files and the platform will process them.
This tutorial will guide you through these steps using an example data set of vehicle crashes in the USA. The example file is provided as a .parquet file.
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Free trial accounts don’t support uploading your own data
This tutorial uses functionality that is not included in the free trial version of the platform. Get in touch if you want to start uploading your own data. |
Go to the next part: Step 0: Obtain data