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---
title: Tool Time Series Decomposition
emoji: 📈
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.17.0
app_file: src/app.py
pinned: false
license: openrail
---
# Time series decomposition tool
Tool demonstrating time series decomposition in 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-decomposition-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
```
<p><small>Project structure based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>.</small></p>
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