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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

## Feature

Area plots, also referred to as stacked area charts, are a form of data visualization that exhibit the evolution in the distribution of a whole over time. These plots share similarities with line charts but differ in that the space below the line is filled with color or shading to represent the data.


# Feature

Area plots, also referred to as stacked area charts, are a form of data visualization that exhibit the evolution in the distribution of a whole over time. These plots share similarities with line charts but differ in that the space below the line is filled with color or shading to represent the data.


Get introduced to area plots and learn how to generate them. 

Area Plots

Get introduced to area plots and learn how to generate them.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Area Plots

Feature