How to create an interactive scatter plot in ggplot in R
This recipe helps you create an interactive scatter plot in ggplot in R
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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