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Keeping Track of Star Trek – Dashboard Week Day 3

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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On the third day of Dashboard Week, we faced an interesting challenge: to develop a dashboard that would track and categorise various movies, TV shows, books, and other media related to Star Trek. Let’s look at the step-by-step process I used to tackle this challenge.

Usually, a project like this would start with brainstorming and sketching out ideas. However, the dataset we were given was quite plain and didn’t have a lot of exciting information for analysis. This made coming up with a creative idea a bit tricky. To keep things moving, I decided to start cleaning and organising the data while thinking about what the dashboard could look like.

Using Alteryx, I first combined the nine different tables, made sure the data types were correct, and grouped similar fields together. I also added a field to show where each piece of data came from. While working on this, I found a field that showed whether the owner of the data had watched or read a specific episode or book. This gave me the idea to create a dashboard that could track what you’ve watched, suggest what to watch next, and provide some statistics about your viewing habits.

One important feature I wanted to include was the total time spent watching Star Trek. Some values were missing from the data, but with the help of Bing’s chatbot, I filled in the gaps. I also added a new rating field, letting users rate and compare different episodes and books. Even though the dataset didn’t have this information, I created it using a method that followed a normal distribution, adding a touch of realism. Here is what the complete workflow looks like.

When it came to designing the dashboard, I was inspired by websites that track different kinds of media. I wanted my dashboard to have three main sections: a list of all the Star Trek media, an analysis area, and a section that suggests what to watch next based on your ratings and viewing history. Unfortunately, I couldn’t build everything I planned in just one day, so I focused on part of the analysis section. Even with this limitation, I was happy with the final result, especially the visual details like the rounded bar charts.

The third day of Dashboard Week ended with the successful creation of a tool that adds to the Star Trek viewing experience, showcasing both creative thinking and careful attention to detail.

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