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This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source statistical software, unlocking valuable insights for decision-making across diverse fields.

You'll begin by mastering the basics of R programming, fundamental data structures in R, and file management. You will learn fundamental statistical concepts such as hypothesis testing and regression analysis. You will also learn to leverage well-structured data for creating insightful visualizations using R's robust graphics libraries.

After completing this course, you'll confidently approach data-driven challenges. With proficiency in R, you can efficiently manipulate and analyze data, positioning yourself as a sought-after asset in data-centric roles. Your ability to interpret statistical results and create compelling data visualizations will empower improved decision-making, paving the way for new opportunities for career growth and success across various industries.

Introduction to Data Analysis and Visualization with R

## Create crosstabs in R 

**Crosstabs**, also known as contingency tables, display the frequency or count of observations for each combination of two or more variables. Crosstabs are used to compare the relationship between different variables and to explore how the variables are related to each other.


# Create crosstabs in R 

**Crosstabs**, also known as contingency tables, display the frequency or count of observations for each combination of two or more variables. Crosstabs are used to compare the relationship between different variables and to explore how the variables are related to each other.


Learn about the pivot and cross tables and how to work with them.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Crosstabs and Pivot Tables in R

Create crosstabs in R