![]() They are used to represent distribution between different variables in form of points scattered all over. This article describes the different type of graphs used in the ggplot library for data exploration. Graphs provide us with ability to map connections or interrelations among two or more things by a number of distinctive dots, lines, bars, etcĭata() # showing all inbuilt datasets mtcars # showing mtcars datasetģ.Types of plots In this article, we are going to know how to use one of the most crucial package ggplot2 in R for generating plots of data and make data exploration a fun process. “ The greatest value of a picture is when it forces us to notice what we never expected to see.” - John Tukey. “ The simple graph has brought more information to the data analyst’s mind than any other device.” - John Tukey Here are some of his notable quotes on the importance of visualization through graphs. John Tukey was an American mathematician best known for the development of the FFT algorithm and boxplot. Images are able to grab our attention easily, we are immediately drawn to them. We are very visual creatures as a large portion of brain dedicates itself to visual processing. One of the major steps that we have in the field in data science is first exploring the data thereby presenting it in the form of informative plots and it is referred to as Data Visualization. Data is huge and it is everywhere but along with that comes the need to understand data and base our decisions after drawing inferences from data.
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