Building Tree Census Dashboard with R Shiny

^{(Image Source: https://www.pinterest.com/pin/137500594847520243/)}

The dashboard can be viewed in 2 ways:

• Online using Shinyapps.io by clicking the icon
• Remotely using RStudio:
  • Install & load the "shiny" package: install.packages("shiny") and library(shiny)
  • Run Shiny app from GitHub: shiny::runGitHub(repo = "TreeCensus_Dashboard", username = "namhaivu173", ref = "main")

Note: Due to the limited memory size allowed on Shinyapps.io, only a portion of the original data set is used for building this dashboard.

I. Data set:

• Downloaded from NYC Open Data: https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh
• The 2015 New York (NY) tree census data set contains various features of trees planted in NY, including but not limited to location details, trunk diameter, perception of health, etc.

II. Main goals:

• Analyze and explore interesting insights about the tree census dataset via effective visualizations
• Practice designing R Shiny applications and deploy dashboard to shinyapps.io

III. Files shared:

• .zip: contains the original data set from NYC Open Data
• .pdf: contains variable dictionary for the data set
• Compressed_data.ipynb: contains script that produce a sample data set from the original data set
• .csv: a portion of the original data set produced using the Python script
• app.r: contains script for the R Shiny app
• local.r: contains script that deploys the R Shiny app by connecting to GitHub repo

IV. Glimpse of Shiny dashboard UI: