This project explores the connection between urban nature and social inequality in New York City. Using publicly available datasets on tree census and median income, we'll trying to investigate whether wealthier neighborhoods have more, healthier, or younger trees compared to lower-income areas.
The main goal of this project is to practice and strengthen data visualization skills by working with Tableau Public. Through building interactive dashboards and visual analyses, the project aims to reinforce understanding of data connections, design principles, and storytelling techniques within Tableau.
Some questions that are posed:
- A. How many trees are in metro NYC?
- B. How many trees are in each borough?
- C. What is the income of each borough?
- D. What is the income across different zip codes?
- E. What is the tree concentration across different zip codes?
- F. Does tree health vary across rich vs poor zip codes?
- G. Do certain boroughs have more living trees?
- H. Do certain boroughs have newer/younger trees?
- made basic data visualizations, paying attention to narrative and argument in the data
- adjusted aesthetic properties to further a visual argument
- added labels and tooltips for clarity and interactivity
- filtered data to improve user experience
- presented visualizations as a cohesive, balanced dashboard
There are three datasets used in this project:
tree-census-NYC_2015.csv- NYC Tree Censustree_species_nyc.csv- NYC Native Trees datasetincome-NYC_2015.csv- NYC Income data
The final visualizations and dashboards can be found on my Tableau Public profile.