To find and and visualize quartile values in R, you can use **quantile()** function **boxplot()** function respectively.

The following methods show how you can do it with syntax.

**Method: Use quantile() Function**

```
quantile(data)
```

**Method: Use boxplot() Function**

```
boxplot(data, ylab = "y", xlab = "x", main = "Boxplot with Quartiles")
```

The following examples show how to find and visualize quartile values in R using **quantile()** and **boxplot()** function.

## Using quantile() Function

Let’s see how we can use **quantile()** function in R:

```
# Create dataset
data = c(12,14,15,56,85,96,12.3,8.25,85.63,99.12)
# Calculate quartiles values of dataset
q <- quantile(data)
# Print quartiles values
print(q)
```

Output:

```
0% 25% 50% 75% 100%
8.2500 12.7250 35.5000 85.4725 99.1200
```

Here the output shows quartile values for dataset that we define in above code. The **quantile()** function gives quartile values of 0%, 25%, 50%, 75% and 100%.

## Using boxplot() Function

Let’s see how we can use **boxplot()** function to visualize quartile values:

```
# Create dataset
data = c(12,14,15,56,85,96,12.3,8.25,85.63,99.12)
# Plot boxplot
boxplot(data, ylab = "Values", xlab = "Data", main = "Boxplot with Quartiles")
```

Output:

Here the above snippet shows boxplot for dataset that we declare in above code.