This is an example of a Dash interactive Python framework developed by Plotly.
The app is deployed on Heroku and can be accessed here.
This app fetches a CSV of historical contacts from a local CSV file. All parameters of the dashboard are adjustable. An accompanying time-series analysis in the file ts_analysis.ipynb demonstrates a decomposition of the data into seasonal and trend elements. This analysis allows us to use a simple cross-month ordinary least squares regression to make a short term, 1-year forecast for aggregate client contacts.
The following is a screenshot for the app in this repo:
