Overview

This is an individual mini data analysis project for UBC course STAT 545A in the Winter term 2021. The project aims to use various Tidyverse packages in a real-world dataset. The dataset I chose to work on was about Vancouver trees available under the name vancouver_trees in the datateachr package in R. Below is the exhaustive list of tasks that have been done during each milestone.

• Milestone 1
  • Exploring datasets
  • Get insight about variables and plotting different quantities
  • Asking 4 research questions about the data
  • Release a milestone 1 version
• Milestone 2
  • Created summarizing tibbles for each research question
  • Plotted graphs to get better insights into our data
  • Recognized pitfalls of each question and refined them
  • Selected the two research questions to continue for the next milestone
  • Reformat the dataset (removing irrelevant columns, etc.) for Milestone 3
• Milestone 3
  • Used forcats package to reorder a factor
  • Manipulated date format in R with lubridate package
  • Fit linear models to see whether there is any correlation between age and diameter of different types of trees
  • Writing and reading .csv and .rds files

Project Files

Milestone Folders

Files are separated into three folders based on the corresponding milestone. In each milestone folder, you can find below files:

1. Github markdown (.md): Milestone 1, Milestone 2, Milestone 3
2. R markdown file (.rmd): Milestone 1, Milestone 2, Milestone 3
3. Figure files: Each Milestone file contains a folder to save plots produced by the .rmd file to render them in the GitHub .md file

Output Folder

This folder contains output files of Milestone 3, which are listed as follows:

• Summary table (csv file): The number of trees planted from 2016 to 2019 in each neighborhood of Vancouver, which was obtained as a part of Milestone 2
• Linear model (rds file): The fitted model on (age, diameter) variables of trees to explore whether there is any correlation between them (should be loaded with loadRDS() function).

Code Execution

For running the .rmd files the following dependencies are needed:

• R version: 4.1.1
• tidyverse package version: 1.3.1
• datateachr package version: 0.2.1

These packages are loaded at the beginning of each .rmd file. Using IDEs such as RStudio is recommended to execute R markdown files by simply knit each .rmd and reproducing Github markdown (.md) output. The output could be easily changed to the desired format by changing the YAML header in the .rmd files.

Contributers

@Hossein