Interactive Dashboards for Data Science
Creating an online dashboard in Python to analyse Facebook Stock Market Prices and Performance Metrics.
Introduction
Creating an online Data Science Dashboard can be a really powerful way of communicating the results of a Data Science project. A good Dashboard can:
- Summarise the main results of a data analysis.
- Enable the customers/company managers to test how varying some parameters can affect a certain outcome.
- Fetch continuously new data to update its graphs and summaries.
- Allow us to make predictions online using either pre-trained Machine Learning models or training them online.
Nowadays, there are many different services which can be used to create Dashboards. Some examples are:
- Dash by Plotly
- Bokeh Dashboards
- Google Data Studio
- Tableau