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Project overview
In this project, you’ll take on the role of a data analyst tasked with investigating perceptions of school quality in New York City. You’ll work with survey data from students, parents, and teachers to explore whether perceptions are related to demographics and academic outcomes.
Using R, you’ll clean the data, conduct analysis, and create visualizations to understand the relationships between variables. You’ll gain hands-on experience with data wrangling, statistical analysis, and communicating insights. By building this project in an R Notebook, you’ll create a portfolio piece demonstrating your end-to-end data science skills in a real-world context.
Objective: Analyze NYC school survey data to examine how perceptions of school quality relate to key metrics and differ between students, parents, and teachers.
Key skill required
- Importing data into R using readr or other tidyverse packages
- Cleaning and preparing data using dplyr and tidyr functions
- Conducting data analysis in R using dplyr and base R
- Visualizing data using ggplot2 to create informative plots
Projects steps
Step 1: Cleaning and Analyzing Data: Show Off Your Skills and Start Building a Portfolio
Step 2: Introducing R Notebooks: Share Your Projects With the World!
Step 3: New York City Schools Survey Data
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