MISSION 325

Correlations and Reshaping Data

Description

Objectives

  • Learn about tidyverse tools for reshaping data.
  • Use correlation analysis to understand relationships between variables.
  • Create correlation matrices to identify trends in your data.

Mission Outline

1. Analyzing New York City Public Schools Data
2. Visualizing Relationships Between Variables Using Scatter Plots
3. Reshaping Data for Visualization
4. Gathering Data into Columns
5. Comparing the Strength of Relationships Among Pairs of Variables
6. Correlation Analysis: Measuring the Strength of Relationships Between Variables
7. Creating and Interpreting Correlation Matrices
8. Identifying Interesting Relationships
9. Next Steps
10. Takeaways

Course Info:

Data Cleaning in R

Advanced

The average completion time for this course is 10-hours.

This course is free. This course includes 4 missions and 1 guided project. It is the fourth course in the Data Analyst in R path.

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