# Time series autocorrelation tool Tool demonstrating time series autocorrelation analysis with Python Assumes uploaded data is clean. ## Built With - [Streamlit](https://streamlit.io/) ## Local setup ### Obtain the repo locally and open its root folder #### To potentially contribute ```shell git clone https://github.com/pkiage/tool-time-series-autocorrelation-demo ``` or ```shell gh repo clone pkiage/tool-time-series-autocorrelation-demo ``` #### Just to deploy locally Download ZIP ### (optional) Setup virtual environment: ```shell python -m venv venv ``` ### (optional) Activate virtual environment: #### If using Unix based OS run the following in terminal: ```shell .\venv\bin\activate ``` #### If using Windows run the following in terminal: ```shell .\venv\Scripts\activate ``` ### Install requirements by running the following in terminal: #### Required packages ```shell pip install -r requirements.txt ``` ## Build and install local package ```shell python setup.py build ``` ```shell python setup.py install ``` ### Run the streamlit app (app.py) by running the following in terminal (from repository root folder): ```shell streamlit run src/app.py ```

Project structure based on the cookiecutter data science project template.