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

# Solve the exercise

We are given a text file. The words in the text file are phonetically similar, with a heavy emphasis on the `sh` letters. Our task is to find the lengths of each word that include the `sh` sounds.
Please follow the instructions to complete the challenge:

1. Read the text file in the given directory below using the `read_file()` command. 
```R'
"hello.txt"
```
2. Turn the text into lowercase.
3. Replace all `\n` characters with nothing.
4. Create a list by splitting the text by the blanks.
5. Choose the first element of the list.
6. Create a detect object for the words that involve `sh`.

7. Mask the detect object with the list object and assign a new variable to the outcome.

8. Calculate the length of each word in the masked object.
9. Name the outcome `result`.

>**Note:** Naming the final output `result` is crucial to completing this challenge successfully.


Follow the instructions to solve the challenge.

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

Challenge: Calculate String Length

Solve the exercise