Driving Behavior Data Migration

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Introducing the Driving Behavior Data Migration

1. Check raw data

It seems that the class labels need to be converted from strings to numeric values.

2. Set the Preprocessing Plan

  • Data Cleaning.
    • Convert class label from string to numeric.
  • Convert format.
    • Creating a new time value.
    • Convert to Name, Time, Value & UTC time.

Data Cleaning

  • Convert class label from string to numeric.

Convert format

  • Creating a new time value.
  • Convert to Name, Time, Value & UTC time.

Once the data frame is restructured as shown in the image below, it will be ready for upload to Machbase Neo.

3. Data Upload

machbase-neo shell import --input ./datahub-2025-7-Driving-Behavior.csv.gz --compress gzip --header --method append --timeformat ns driving_behavior

Check the entire code.

datahub/dataset/2025/07.Driving Behavior/conv/convert.py at main · machbase/datahub
All Industrial IoT DataHub with data visualization and AI source - machbase/datahub
GitHubmachbase

4. Check the results after uploading

Output when executing the following code in the Machbase Neo internal shell.

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select * from v$driving_behavior_stat;

※ Subsequent link to the AI training process: Driving_Behavior Data

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