## How do R Histograms differ from R Bar Charts in their data representation?

a) Histograms represent the distribution of continuous data, while bar charts compare discrete categories

b) Histograms compare categorical data, while bar charts show trends over time

c) Histograms show relationships between variables, while bar charts display data distribution

d) Histograms illustrate proportions, while bar charts display continuous data

### Answer:

a) Histograms represent the distribution of continuous data, while bar charts compare discrete categories

### Explanation:

R histograms and bar charts serve different purposes in data representation. Histograms are used to represent the distribution of continuous data by dividing the data into bins and plotting the frequency of data points within each bin. Bar charts, on the other hand, are used to compare discrete categories, with each bar representing a category and its corresponding frequency or value.

```
# Example of a histogram
data <- rnorm(100)
hist(data, col = "lightblue", main = "Histogram Example", xlab = "Values", ylab = "Frequency")
# Example of a bar chart
categories <- c("Category 1", "Category 2", "Category 3")
values <- c(20, 35, 40)
barplot(values, names.arg = categories, col = "lightgreen", main = "Bar Chart Example", ylab = "Values")
```

In these examples, the histogram displays the frequency distribution of a continuous variable (random normal data), while the bar chart compares the values of three discrete categories. The key difference lies in the type of data each chart represents: histograms for continuous data distribution and bar charts for categorical data comparison.