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Dashboard Week Day 1: LA Crime Data

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 has begun!!!!


This was a week that I was really excited for as I’ve really been wanting time to practice making dashboards and this is the perfect week to begin doing that. The challenge for day 1 was to create a dashboard using LA crime data. You can find the dataset here if you would like to try this challenge yourself. https://www.kaggle.com/datasets/susant4learning/crime-in-los-angeles-data-from-2020-to-present


You are given ultimate freedom in dashboard week, but I wanted to set myself a challenge. I have decided that I want to focus on design this week and make the dashboards visually appealing. In the past I have used a simple container layout, and they just look like a bunch of charts thrown onto a page. I wanted it to look like I have properly designed these dashboards. I am also going to try to not work on my dashboards outside of work as I want to push myself to make great dashboards in the limited time. My dashboard for day 1 was created in Tableau and I used a tool called Figma to create the background. I used it for the first time today and it worked out well. I recommend checking it out if you, like me, want to make your dashboards look better and you struggle with design. I didn’t end up using Alteryx today as the only data cleaning I required was to clean the date fields and they also had a standard time of 12:00:00 in all rows and was useless to me.


As I began today, after I noticed that the data was clean enough for me to start using it, I searched for a story. I struggled with this, and it was difficult to find one in the short period of time. So, at around 10:30 I forced myself to pick a story out of the ones that I had brainstormed. They were comparing crimes that happened at night vs during the day or doing the same but for gender instead of time of day. I found these to be quite basic, but I didn’t want to waste any more time searching for a more interesting story. I chose to compare the crime statistics for men and women. I knew that the graphs would be quite easy to make, and that formatting and design would be my biggest issue.


Once I had settled on a story, I began designing the dashboard. I searched on Tableau Public to see how other people have tackled similar data and most of them used the layout of a business style dashboard. This made me want to try something different and use a more infographic type design. The victim gender column in the dataset had around 5 different options, however, for simplicity I decided to just look at men and women. With this information, I split my dashboard down the middle with opposing colours on each side and having the same charts on both sides. I used the opposite sides’ colours for the actual charts to have some contrast. I will provide the link below to my dashboard. Stay tuned to see the four more dashboards that I will be making this week.

https://public.tableau.com/app/profile/mitchell.bliesner/viz/LACrimeAnalysis_16907983731690/LACrimeAnalysis

I’ve also attempted making a vlog as my coach has asked us to start creating blogs. I’d appreciate if you viewed it. It is my first attempt, I will definitely be practicing more so I become more natural in front of a camera. Thank you.

https://www.loom.com/share/d42898012029402caef403ec575d873d

In the video I describe how I updated my dashboard, I’ll also show that below as well.

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