This repository is meant to illustrate a template for collaboration with me. This contains an example project that is described in my github page
The data setup for the project consists of two steps:
-
Generating a clean raw dataset. This is done by running the notebook called
prepare_raw_dataset.ipynb
. The colab version has a colab prefix on the name -
Generating the report dataset. This is done by running the notebook called
generate_report_data.ipynb
. This too has a colab version
If you have difficulties viewing the notebook on github, use nbviewer, or, copy the url and run it on colab
You can run it on your machine or environment by doing the following:
-
Create a directory where you want to run this
-
Change over to the directory, then run
git clone https://github.com/rajivsam/example_ITSM.git
-
Create a conda environment
conda create -n <your env name> python=3.10
-
Activate the environment
conda activate <your env name>
-
pip install -r requirements.txt
-
Execute the notebooks - run the
prepare_raw_dataset.ipynb
first and thengenerate_report_data.ipynb
-
You can run the reports from the
reports
directory by runningpython -m tickets_resolved_report
.