Type the following solution in R-Code: The numbers below show the amount of snowfall for 10 days in 2010. 0.8, NA, 1.2, 12.9, 7.1, 0.7, 0.0, 3.3, 4.4, 10.8 Return a logical vector showing which elements are NA

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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YOU MUST SHOW A LOGICAL VECTOR FOR THIS QUESTION R-PROGRAMMING
### R-Coding Exercise: Snowfall Data Analysis

**Objective:** Learn how to manipulate data and identify missing values using R.

**Task:** Type the following solution in R code.

#### Problem Description

The numbers below represent the amount of snowfall recorded over 10 days in the year 2010:

`0.8, NA, 1.2, 12.9, 7.1, 0.7, 0.0, 3.3, 4.4, 10.8`

**Your goal is to return a logical vector that identifies which elements are `NA` (missing values).**

#### Instructions

1. Create a numeric vector in R using the snowfall data provided.
2. Write a command to check for `NA` values within the vector.
3. Return the resulting logical vector.

This exercise will help you understand how to work with missing data in R, a critical skill in data analysis and statistical computing.

### Example Code
```r
# Step 1: Create a vector with the snowfall data
snowfall <- c(0.8, NA, 1.2, 12.9, 7.1, 0.7, 0.0, 3.3, 4.4, 10.8)

# Step 2: Identify NA values
na_vector <- is.na(snowfall)

# Step 3: Print the logical vector
print(na_vector)
```

This code will output a logical vector corresponding to each element in the original vector, indicating `TRUE` for `NA` values and `FALSE` for non-missing values.
Transcribed Image Text:### R-Coding Exercise: Snowfall Data Analysis **Objective:** Learn how to manipulate data and identify missing values using R. **Task:** Type the following solution in R code. #### Problem Description The numbers below represent the amount of snowfall recorded over 10 days in the year 2010: `0.8, NA, 1.2, 12.9, 7.1, 0.7, 0.0, 3.3, 4.4, 10.8` **Your goal is to return a logical vector that identifies which elements are `NA` (missing values).** #### Instructions 1. Create a numeric vector in R using the snowfall data provided. 2. Write a command to check for `NA` values within the vector. 3. Return the resulting logical vector. This exercise will help you understand how to work with missing data in R, a critical skill in data analysis and statistical computing. ### Example Code ```r # Step 1: Create a vector with the snowfall data snowfall <- c(0.8, NA, 1.2, 12.9, 7.1, 0.7, 0.0, 3.3, 4.4, 10.8) # Step 2: Identify NA values na_vector <- is.na(snowfall) # Step 3: Print the logical vector print(na_vector) ``` This code will output a logical vector corresponding to each element in the original vector, indicating `TRUE` for `NA` values and `FALSE` for non-missing values.
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  • Write R code for given amount of snow fall of 10 days
  • Return a logical vector with position of elements which have "NA" elements 
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