# Control the Size of the Points in a Scatterplot in R

In this article, we are going to see how to control the size of the points in a scatterplot in R Programming language.

We will Control the size of the points in a scatterplot using cex argument of the plot function. In this approach to control the size of the points in a scatterplot, the user needs to call the in-built function **plot**() and using the **cex** parameter which will take input value as a float in this function of control the size of the points of the given scatterplot in r language.

Syntax:plot( Data_x, Data_y, cex)

**Example 1: **Increase the point size in a scatterplot.

In this function, we will be increasing the size of the points of the given scatterplot using the cex argument of the plot function of r language. Here cex will be set to 4 which will increase the size of the points of the scatterplot.

## Python3

`x ` `=` `c(` `1` `, ` `2` `, ` `3` `, ` `4` `, ` `5` `, ` `6` `, ` `7` `, ` `8` `, ` `9` `, ` `10` `)` `y ` `=` `c(` `7` `, ` `9` `, ` `6` `, ` `2` `, ` `8` `, ` `1` `, ` `3` `, ` `4` `, ` `5` `, ` `8` `)` ` ` `plot(x, y, cex ` `=` `4` `) ` |

**Output:**

**Example 2: **Decreasing the point size in a scatterplot.

In this function, we will be decreasing the size of the points of the given scatterplot using the cex argument of the plot function of r language. Here cex will be set to 0.6 which will decrease the size of the points of the scatterplot.

## R

`x = ` `c` `(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)` `y = ` `c` `(7, 9, 6, 2, 8, 1, 3, 4, 5, 8)` ` ` `plot` `( x, y, cex = 0.6) ` |

**Output:**