Gain insights into data manipulation, analysis, and visualization with R. Learn statistical concepts, create insightful visualizations, and empower decision-making to excel in data-centric roles.

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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

**Lists** are a type of data structure that can encompass a variety of objects, including more complex data types such as matrices and data frames. We can create lists using the `list()` command.

Most filter and select methods used for vector manipulation also work on lists.  

## Assign names to list elements

List elements, by default, are labeled with numbers, but it is possible to name list elements by assigning variables to them while creating the list.

Another way to name list elements is to use the `names()` function. This method changes the names after the list is created. The function outputs the element names, and we can modify that output by assigning new values.

```R
names(myList) <- c("<name1>","<name2>","<name3>")
```
Check out the code for more detail.


Discover how to create and modify lists using R.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Uber Data Analysis Using the R Language

Conclusion

Evaluation

Netflix Shows

Lists in R

Create and manipulate lists

Assign names to list elements