## What is the use of R Histograms?

a) To display the distribution of a continuous variable by dividing the data into bins

b) To compare categories using bars

c) To visualize the relationship between two variables

d) To represent categorical data as a pie chart

### Answer:

a) To display the distribution of a continuous variable by dividing the data into bins

### Explanation:

R histograms are used to display the distribution of a continuous variable by dividing the data into bins (intervals) and plotting the frequency of data points within each bin. Histograms provide a visual representation of the underlying frequency distribution, making them useful for identifying patterns such as skewness, central tendency, and spread in the data.

```
# Creating a histogram in R
data <- rnorm(100) # Generate 100 random normal values
hist(data, col = "lightgreen", main = "Histogram Example", xlab = "Values", ylab = "Frequency")
```

In this example, a histogram is created using the `hist()`

function, which takes a dataset and plots the frequency of data points within specified bins. Histograms are particularly useful for understanding the distribution of data, especially when dealing with large datasets or continuous variables.