Step 3: Import rover data and visualize it

Overview

Now that you understand how Sift organizes time-series data using Assets, Channels, and Runs, it's time to bring the preprocessed dataset into the platform and begin working with it. In this step, you will upload the Mars environmental telemetry file, define a new Asset to contain the signals, and open the data for visualization. This is your first hands-on interaction with the dataset in Sift, setting the stage for deeper inspection and analysis.

Upload data

Start by uploading the preprocessed telemetry dataset. This step creates a new Asset in Sift that represents the Mars Environmental Monitoring Station and links it to the Channels. Once complete, Sift will index the data and make it available for exploration.

1. In Sift, click .
2. Click Upload file.
3. Upload the mars-environmental-telemetry.csv file.
4. Click New Asset.
5. In the Asset box, enter:

   fl_mars_env_monitoring_station

   Replace fl with your initials (first and last name). This helps avoid naming conflicts if others are also completing the tutorial on the same Sift instance.

6. In the Run box, edit the Run name with the following:

   fl_env_telemetry_two_thousand_twenty_one

   Again, replace fl with your initials to ensure the Run name is unique within your workspace.

7. Click Upload.
8. Click Close

Visualize data

With the data uploaded and organized, you can now explore the signals visually. By selecting specific Channels like temperature and weather classification, you'll view the telemetry in both chart and table formats. This quick check helps confirm that your data imported correctly and gives you an initial sense of what’s happening across the recorded time period.

1. In the Run name or description box, enter the name of the Run you created earlier:

   fl_env_telemetry_two_thousand_twenty_one

   Remember to replace fl with your own initials if you used something different.

2. Click your Run from the search results to open it.
3. Click Explore 2.
4. In the Channels tab, click the following Channels:
   1. min_ground_temp(C)
   2. max_air_temp(C)
   3. max_ground_temp(C)
   4. min_air_temp(C)
   5. weather