#3using the diamonds dataset, write in the line below the code necessary to keep all columns that contain the letter "c" in column name

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Task 5. See picture

### R Programming Task: Diamonds Dataset

In this exercise, you will learn how to manipulate the `diamonds` dataset using R. The aim is to filter specific columns and create a new object for further analysis.

1. **Filter Columns by Name:**
   - **Objective:** Write a line of code to select all columns containing the letter "c" in their column name.
   - **Example Code Snippet:** 
     ```r
     diamonds_c <- diamonds[, grepl("c", names(diamonds))]
     ```
   - **Explanation:** This line uses the `grepl` function to search for the letter "c" within the column names of the dataset and subsets those columns.

2. **Create a New Object:**
   - **Task:** Assign the result of the above operation to a new object named `diamonds_c`. Ensure that this new object appears in your environment for further manipulation.
   - **Example Code Snippet:** 
     ```r
     diamonds_c <- diamonds[, grepl("c", names(diamonds))]
     ```

#### Console Output:

- **R Version:** R 4.1.2
- **File Path:** ~/Desktop/omis665_rstudio/
- **Displayed Variables:**
  - `x`, `y`, `z` are numeric vectors each containing 53,940 elements representing dimensions.
  - **Example Content:** 
    - `x`: 3.95, 3.89, 4.05, 4.2, 4.34...
    - `y`: 3.98, 3.84, 4.07, 4.23, 4.35...
    - `z`: 2.43, 2.31, 2.31, 2.63, 2.75...

- **Error Message:**
  - "Error: attempt to use zero-length variable name" indicates that you need to ensure that variable names are correctly assigned and exist within the dataset.

This guide will help you to efficiently work with the `diamonds` dataset, focusing on filtering and creating objects in R.
Transcribed Image Text:### R Programming Task: Diamonds Dataset In this exercise, you will learn how to manipulate the `diamonds` dataset using R. The aim is to filter specific columns and create a new object for further analysis. 1. **Filter Columns by Name:** - **Objective:** Write a line of code to select all columns containing the letter "c" in their column name. - **Example Code Snippet:** ```r diamonds_c <- diamonds[, grepl("c", names(diamonds))] ``` - **Explanation:** This line uses the `grepl` function to search for the letter "c" within the column names of the dataset and subsets those columns. 2. **Create a New Object:** - **Task:** Assign the result of the above operation to a new object named `diamonds_c`. Ensure that this new object appears in your environment for further manipulation. - **Example Code Snippet:** ```r diamonds_c <- diamonds[, grepl("c", names(diamonds))] ``` #### Console Output: - **R Version:** R 4.1.2 - **File Path:** ~/Desktop/omis665_rstudio/ - **Displayed Variables:** - `x`, `y`, `z` are numeric vectors each containing 53,940 elements representing dimensions. - **Example Content:** - `x`: 3.95, 3.89, 4.05, 4.2, 4.34... - `y`: 3.98, 3.84, 4.07, 4.23, 4.35... - `z`: 2.43, 2.31, 2.31, 2.63, 2.75... - **Error Message:** - "Error: attempt to use zero-length variable name" indicates that you need to ensure that variable names are correctly assigned and exist within the dataset. This guide will help you to efficiently work with the `diamonds` dataset, focusing on filtering and creating objects in R.
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