Embedded Files
This how to guide will walk you through how to understand raw log files and run processing scripts that output .csv files.
Before you get started, please make sure you have the following available.
1. All raw data files in .json format are locally stored on your desktop or laptop.
Here are some tools and instructions for your needs:
2. Download the latest Python version (3.10.0+) and pip.
pip should be automatically installed with the latest Python.
3. From command line(Windows) or terminal(MacOS), verify that Python and pip are both installed.
With the command: pip --version
If fails, try with pip3: pip3 --version
If prompts "command not found"
pip is not installed successfully.
Use the following to check if Python is actually installed.
With the command: python --version
If fails, try with pip3: python3 --version
If outputs "Python [version number (i.e. 3.10.0)],"
then Python is installed.
If not, and your operating system is Windows,
Download Python from MicroSoft Store,
then repeat Step 3 to verify.
If outputs "pip [version number (i.e. 22.1.2],"
Python and pip are both installed successfully.
You can move on to next step.
4. From command line(Windows) or terminal(MacOS), use pip to install pandas package.
With the command: pip install pandas
If fails, try with pip3: pip3 install pandas
If none is successful, use the resource below:
5. (optional) We recommend using Visual Studio Code to:
Once you have the above ready, navigate to Get Started to begin processing.
You may also read about assessments, raw log file structures, processed files, and analyses in Documentation.
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