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Dashboard Week Day 4 – Legatum Prosperity Index

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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Dashboard week day 4. Unlucky for some. Unlucky for me since I was flooded in at home.

The data received for today was from the Legatum Prosperity Index, a measure of the overall quality of life in different countries.

 

Data Preparation

The dataset from Legatum was clean but wide, meaning that it needed some pivoting to get it to a nice state. This can be shown below:

I did not use any supplementary data this time, so it was off to make a dashboard after that.

 

Dashboard

My dashboard for today was looking at countries that had major outlier performance indicators. These are indicators which ranked very differently compared to their overall rank). There was some challenge in making the parameters work across all the tables of data but I managed to get through it in the end. After making the charts I did a little bit of extra research. This was to try and understand the reasoning behind certain indicators being lower than the average.

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Dashboard Week Day 4 – Legatum Prosperity Index

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

If you are having trouble viewing this article, please report it here

Dashboard week day 4. Unlucky for some. Unlucky for me since I was flooded in at home.

The data received for today was from the Legatum Prosperity Index, a measure of the overall quality of life in different countries.

 

Data Preparation

The dataset from Legatum was clean but wide, meaning that it needed some pivoting to get it to a nice state. This can be shown below:

I did not use any supplementary data this time, so it was off to make a dashboard after that.

 

Dashboard

My dashboard for today was looking at countries that had major outlier performance indicators. These are indicators which ranked very differently compared to their overall rank). There was some challenge in making the parameters work across all the tables of data but I managed to get through it in the end. After making the charts I did a little bit of extra research. This was to try and understand the reasoning behind certain indicators being lower than the average.

Share this post