Premium Project

NYC Schools Perceptions

For this project, you’ll become a data analyst using R Notebooks to clean, reshape and visualize NYC school survey data, uncovering insights into school quality perceptions.

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4.8 (359 reviews)
366,013 learners enrolled in this project
  • Intermediate
  • Guided project
  • 7 steps
  • R
Alejandro Giraldo Riveros

“The projects were really helpful because they provided a way to see how all the things I learned work.”

Alejandro Giraldo Riveros

Environment Engineer & Data Analyst

NYC Schools Perceptions

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Project overview

In this project, you’ll take on the role of a data analyst tasked with exploring perceptions of school quality in New York City. Using a real-world dataset of survey responses from parents, teachers, and students, you’ll apply your skills in data cleaning, reshaping, visualization, and correlation analysis using R Notebooks.

By working hands-on with a large, complex dataset, you’ll showcase your ability to extract meaningful insights from raw data – a highly valued skill in data analytics roles. You’ll enhance your data wrangling and exploration skills while building an impressive project for your portfolio.

Objective: Analyze survey data to uncover insights into parent, teacher, and student perceptions of NYC school quality.

Key skill required

To complete this project, it's recommended to build these foundational skills in R

  • Manipulating DataFrames in R, including modifying variables and observations
  • Defining and combining relational data using joins
  • Resolving missing data through omission and imputation techniques
  • Reshaping data between wide and long formats using tidyr

Projects steps

Step 1: Cleaning and Analyzing Data: Show Off Your Skills and Start Building a Portfolio

Step 2: New York City Schools Survey Data

Step 3: Simplifying the Dataframes

Step 4: Creating a Single Dataframe for Analysis

Step 5: Look for Interesting Correlations and Examine Relationships Using Scatter Plots

Step 6: Differences in Student, Parent, and Teacher Perceptions: Reshape the Data

Step 7: Next Steps

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