How to create an interactive scatter plot in ggplot?
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How to create an interactive scatter plot in ggplot?

This recipe helps you create an interactive scatter plot in ggplot

Recipe Objective

How to create an interactive scatter plot in ggplot ? Scatter plots are graphs that represent a relation between an independent variable (x) and a dependent variable (y). The plot represents data on a 2 dimensional plane, where dependent variable (y) is plotted on Y-axis and independent variable (x) is plotted on the X-axis. Scatter plots are used to explain the correlation between the two variables. There are mainly 3 cases in scatter plot correlation- - Positive correlation - Negative correlation - No correlation Scatter plots help us understand and visualize the data properly. ggplot is an R package for data visualization This recipe demonstrates an example on scatter plots using ggplot. .

Step 1 - Import necessary libraries

library("ggplot2") library("dplyr")

Step 1 - Define a dataframe

**Syntax for scatter plots using ggplot is- ggplot (data, aes (x=,y=)+geom_point ()** where, data — the required data to be plotted in a pie chart aes (x=data,y=data)) — the aes function — creates mapping from data to geom geom_point — the geometric object to be drawn.

``` # define two variables data = data.frame (x_data =c(2,3,8,9,4,6,9,7,6,9), y_data = c(3,9,5,6,8,6,5,8,9,3)) print(data) ```

Step 2 - Plot a scatter plot

``` ggplot(data = data, aes(x = x_data, y = y_data)) + geom_point(color = 'blue') ```

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