Hi, thanks for checking out my work! I haven't had the opportunity to play with Tableau in school or work, so I spent a little time with a free trial to show that I can hold my own in the land of Tableau. Without a specific visualization goal in mind, I perused NY Open Data for ideas. Below, you'll find a few examples of what I can do in Tableau (so far).
This map utilizes the Wi-Fi in Public Space dataset. I came across the dataset. I plotted the dataset and colored the dots by whether the Wi-Fi is simply near or within the public space. Then, I implemented a responsive tooltip to show the name of the open space and the the neighborhood where it's located. To add a little visual interest, I added a choropleth layer based on per capita income in 2016. I don't know if there's any spatial relationship between these variables, but I wanted to demonstrate that I do know how to add a layer underneath point data.
To demonstrate my non-map data visualization skills in Tableau, I stepped away from my usual interests of health and social welfare and looked at film permits by type and borough since 2012 (also from NYC Open Data). Unsprisingly, Manhattan leads the pack in permits year after year in each category. Brooklyn isn't far behind when it comes to TV, though.
Lastly, I used a piece of data that I'm intimately familiar with: opioid deaths in Connecticut. This is a small piece of my thesis data, and it shows the cumulative count of fentanyl-involved deaths by CT ZIP code from 2009-2017. As you can imagine, many of these deaths were in recent years, so it would be interesting to make a Tableau dashboard to explore this dataset's many facets. I collected these data at the Office of the Chief Medical Examiner.