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Interactive Dashboards for Data Science

Creating an online dashboard in Python to analyse Facebook Stock Market Prices and Performance Metrics.

Pier Paolo Ippolito
Towards Data Science
6 min readAug 27, 2019

Facebook Data Analysis Dashboard

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

Towards Data Science
Towards Data Science

Published in Towards Data Science

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Pier Paolo Ippolito
Pier Paolo Ippolito

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