COVID-19 Data Analysis with Spotfire and IronPython

Tibco Spotfire is an excellent tool for wholistic data analytics solutions. Since I got certified as a Spotfire analyst, I have been working with different datasets to get well-versed with the nitty-gritties of Iron Python scripts in Spotfire. I recently conducted some exploratory data analysis with COVID-19 data and built a dashboard that –

  1. points out trends in countries – those getting better and those getting worse
  2. points out which countries have highest deaths per million and how these are not the same as countries with highest number of cases
  3. describes which continent needs to be alarmed right now
  4. collects user feedback and writes back to the data table using Iron Python

The dashboard uses buttons (Action Controls) to give you graphs of countries that are doing okay and those that need to do better. It also employs property controls and an IronPython script for a user to provide feedback which can then be written back to our data table, and with the right permissions, to our database.

Here is a short video of the COVID-19 Spotfire dashboard, and my commentary on how it works:

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