Welcome to my final blog for the Dashboard week blog series! During Dashboard week we’re tasked each day to produce a dashboard and blog as well as other deliverables such as a documented data prep workflow and wireframes. Today’s task was to recreate and improve your initial application dashboard for the Data School.
My initial application to the Data School was on shark attacks in the US. It was a longform dashboard visualizing reported attacks over time, comparing attacks increase vs beach attendance increase overtime, comparing provoked attacks and fatal attacks, mapping out the incidents, breaking down the activities of the victims during the time of the attack, analyzing the most common time of day and month for attacks, and finally, comparing the percentage chance of dying from a shark attack to other causes of deaths.
Click here to see my initial application dashboard!
Welcome to my final blog for the Dashboard week blog series! During Dashboard week we’re tasked each day to produce a dashboard and blog as well as other deliverables such as a documented data prep workflow and wireframes. Today’s task was to recreate and improve your initial application dashboard for the Data School.
My initial application to the Data School was on shark attacks in the US. It was a longform dashboard visualising reported attacks over time, comparing attacks increase vs beach attendance increase overtime, comparing provoked attacks and fatal attacks, mapping out the incidents, breaking down the activities of the victims during the time of the attack, analysing the most common time of day and month for attacks, and finally, comparing the percentage chance of dying from a shark attack to other causes of deaths.
Click here to see my initial application dashboard! https://public.tableau.com/app/profile/erin.potter/viz/ReportedU_S_SharkAttacksFinal/ReportedSharkAttacksUS9
Wireframing
I immediately jumped to excaliddraw to sketch ideas for different cart types. My goal was to create simpler charts for the user to have an easier time understanding the analysis. I also wanted to apply best practices that I’ve learned during my time in training to the new dashboard.
I screenshotted each section of the dashboard and then sketched a new chart to replace that old chart.
Tableau
After that, I went to Tableau, connected to that original dataset, and then started creating the new charts.
I found this part to be quite easy because I spent so much time building this dashboard this summer that I felt I knew that data set pretty well.
Dashboard
Once I had my charts built out, I had to figure out how to assemble them on a dashboard. I knew I didn't want to repeat the longform dashboard and I wanted all actions to be seen alongside the related charts without requiring any scrolling.
I went back to excalidraw to create a sketch of the dashboard, but at this point my nerves started to really kick in as presentation time was approaching and I struggled to figure out a solution.
I started off trying to fit everything on one view, but then decided to have 3 separate views with related charts in each view.
Click here to see how the dashboard turned out or check out the images below!
Overall, I’m satisfied with how the dashboard turned out, but I’m hoping to find time soon to make further improvements!