Let’s begin Data visualizations from basic to more advanced levels where we can learn about plotting categorical variable vs continuous variable or categorical vs categorical variables.Let’s start RStudio and begin typing in 🙂 For Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 #### Let’s store […]

## Correlation Plot

Let’s start visualizing correlation values in a plot.Open your RStudio and begin typing in !!! Let's import the library corrplot for correlation matrix visualization library(corrplot) Let's store the dataset mtcars into dataframe named DataFrame DataFrame <- mtcars Let's find the correlation matrix of this data set corrMatrix <- cor(DataFrame) Let'c visualize the correlation matrix.This plot […]

## Finding patterns in Predictor Variables

Finding correlated variables is very important in order to remove multicollinearity in multiple regression models.Once you know the correlated variables you can choose few from them or may be just one from them.It depends on correlation value and other factors.Let’s begin to visualize the correlation in variables in a nice plot.Open your RStudio and begin […]

## Boxplot using ggplot2 in R

Introduction Let’s begin learning about how to plot boxplot in R using ggplot2 For Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 Importing libraries Let’s import the ggplot2 library which is needed for ggplot visualization library(ggplot2) Reading data set Let’s import the data set named […]

## Barplot using ggplot2 in R

Introduction Let’s begin learning about how to plot barplot in R using ggplot2 Do you want to learn about how to make a barplot for any categorical variable using ggplot2 in R? If yes,then this is the right page for you.Follow this tutorial given below Importing libraries Let’s import the ggplot2 library which is needed […]

## Histogram for data analytics in R

Introduction Let’s begin learning about how to plot histogram in R using ggplot2 Importing libraries Let’s import the ggplot2 library which is needed for ggplot visualization library(ggplot2) Reading data set Let’s import the data set named “diamonds” into the data frame named “DataFrame” DataFrame<-diamonds Looking at data Let’s check the str of the data set […]

## Scatter plot for Data Analytics in R

Introduction Let’s begin learning about how to plot scatter plot in R using ggplot2 Importing libraries Let’s import the ggplot2 library which is needed for ggplot visualization library(ggplot2) Reading data set Let’s import the data set named “diamonds” into the data frame named “DataFrame” DataFrame<-diamonds Looking at data Let’s check the str of the data […]

## Density plot for data analytics in R

Introduction Let’s begin learning about how to plot density plot in R using ggplot2 Importing libraries Let’s import the ggplot2 library which is needed for ggplot visualization library(ggplot2) Reading data set Let’s import the data set named “diamonds” into the data frame named “DataFrame” DataFrame<-diamonds Looking at data Let’s check the str of the data […]

## Tools for Data Visualization

Let’s begin learning about what are the important tools which are used for Data Visualization by Data Scientist,Business Analyst,Data Analyst and so on Data visualization involves study of the visual representation of data. The goal of data visualization is to communicate information clearly and efficiently via statistical plots like pie chart,histogram,barplots,scatterplot,heatmap and so on. Data […]

## What is Exploratory Data Analysis

Let’s begin learning about “What is Exploratory Data Analysis” and about “what techniques are used in Exploratory Data Analysis” Exploratory Data Analysis (EDA) helps in finding hidden information by displaying data in generally two or three dimentions. It is an approach to analyze data sets to summarize their main characteristics, often with visual methods. There […]