tarball.tar.gz

R_lang

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

## Compare the answers
In this lesson, we'll go through the challenge and explain the tasks required from us one by one. Check out the solution provided in the container below. Please note that there is not just one correct answer. We can still reach the same result by taking different paths.

# Compare the answers
In this lesson, we'll go through the challenge and explain the tasks required from us one by one. Check out the solution provided in the container below. Please note that there is not just one correct answer. We can still reach the same result by taking different paths.

Use data filtering, aggregation, and modification techniques to complete the challenge.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Solution: Help Patients

Compare the answers