Visualizing Relationships In Data Using R

Data visualization is the process of transforming information into a visual form like graphs and maps to make data easier for humans to understand and pull insights from it. The main goal of data visualization is to make it easier to identify patterns, trends, and outliers in large data sets.

In this section, we will see how to draw

A scatter plot is used to display the values of two quantitative variables in the form of dots in a 2-D plane. We want to visualize House Price and Square Footage data using a scatter plot and draw a line of best fill from where we can predict the value of an unknown house given the Square Footage area of the house.

Bar Plot presents categorical data with rectangular bars where the heights or lengths are proportional to the values they represent.

To draw the barplot using ggplot2 we need to import the ggplot2 library which is a part of the tidyverse package. We will follow the steps given below

A pie chart presents data in a circular graphic which is divided into slices to illustrate numerical proportion.

A histogram represents the distribution of numeric data graphically.

In this article, we discover relationships within data using graphs such as scatter plots, bar plots, pie plots, and histograms.

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