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Overview

Now that you better understand the different options Sift offers for importing historical data, in this step, let’s import a CSV file and explore how to visualize it in Sift. The CSV contains data from a low Earth orbit (LEO) satellite.

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Import a CSV

Let’s import a CSV:
  1. In Sift’s home page, click Import data.
  2. Upload the tutorial-1-data.csv file.
  3. Click the Asset toggle to the New position.
  4. In the Asset name box, enter: 
    fl_tutorial_1_asset
  5. In the tutorial-1-data.csv box, edit the Run name with the following: 
    fl_tutorial_1_run
  6. Replace fl (in fl_tutorial_1_asset and fl_tutorial_1_run) with your initials (first and last name). This helps avoid naming conflicts if others are also completing the tutorial on the same Sift instance.
  7. Click Upload.
  8. Click Close

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Visualize data

Now that we have imported the dataset, let’s visualize the imported CSV.
  1. In the Run name or description box (in the Runs tab), enter the name of the created Run (for example, fl_tutorial_1_run) and select it.
  2. Click Explore. Explore is Sift’s workspace for working through high-rate timeseries data to uncover root causes, spot trends, and get answers faster. It gives engineers one place to visualize telemetry across Panels, perform calculations, compare telemetry across tests, and share a snapshot view with colleagues. Engineers go from “something happened” to “here’s what happened and here’s the proof” without exporting telemetry or switching tools.
  3. In the Channels tab, click the following Channels:
    1. Under the motor_b section, click the following Channels:
      • current
      • encoder