Published 2/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.49 GB | Duration: 12h 16m
Advance your data visualization skills using r packages. Master ggplot2, lattice, interactive plots with ggvis package
What you’ll learn
Visualize real world datasets in the professional industries such as finance, health, insurance, marketing, sales
How to visualize data with ggplot2 package
Statistical Data visualizations with qplot function
Statistical Data visualizations with ggplot function
Master themes in R using ggplot2 package
Master Faceting with facet_wrap() and facet_grid()
Master scaling and guides R using scaling functions from ggplot2 package
Use plot function in R to create histograms, box and whisker plots, scatterplots, pie charts, barplots
Intermediate Data Visualization with the lattice package
How to use lattice package to create grouped scatterplots, barcharts
Master panel functions and high level functions in lattice package
How to switch between Graphics devices in R
Learn how to use ggvis package
How to create interactive plots with ggvis package from shiny
Create interactive scatterplots, histograms, boxplots with input slider from ggvis package
Data Analysis with dplyr package
Data Analysis with tidyr package
Data Analysis with reshape package
Factors in R and regular expressions
Master 3D Scatterplots in R
Use ggplot2 to visualize real world datasets
Use lattice package to visualize real world datasets
Create interactive plots from real world datasets with ggvis package
Requirements
No R programming experience everything is explained
Internet connection for installing R 4.2 and R Studio
Eager to learn data visualization with R
Not being in a rush to master everything at once!
Description
Learn data visualizations by projects that use real world datasets in the professional industries such as finance, marketing, sales etc.This course will help you master data visualizations techniques and create graphics in R using packages such as ggplot2, lattice package and ggvis package from shiny for adding interactivity into you R graphics.Real world datasets are used for projects. So, not only will you master the graphics in r, you will also be able to interpret your graphics and make an impressive plots. All done by yourself. Why learn data visualization with R?Data Visualization helps people see, interact with, and better understand the data. Whether simple or complex, the right visualization can bring everyone on the same page, regardless of their level of expertise.Almost all the professional industries benefit from making data more understandable. Every STEM field benefits from data analysts that are able to understand data—and so do fields in government, finance, marketing, history, consumer goods, service industries, education, sports, and so on.As the “age of Big Data” and “Artificial Intelligence (AI)” kicks into high gear, visualization is an increasingly key tool to make sense of the trillions of rows of data generated every day. Data visualization helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers. A good visualization tells a story, removing the noise from data and highlighting useful information. With R tools such as ggplot2 , lattice package, we can create visually appealing graphics and data visualizations by writing few lines of code. For this purpose R is widely used and it is easy to use and understand when it comes to data visualizations, good appealing graphics, data analysis (dplyr) etc. Through R, we can easily customize our data visualization by changing axes, fonts, legends, annotations, and labels.In this data visualization course you will learn the following:R for beginners: Vectors, Matrices, Arrays, Data frames and ListsFactors in R: Create factors, understand factor levelsregular expressions in r: grep and gsub functionsreshape package for data analysis: melt and casting functionstidyr package for data analysis: gather and spread functionsdplyr package for data analysis: merge functions, filter, select, sort, arrange, pipe operator etcAfter Mastering R Programming for beginners and Data Analysis, you will begin creating graphics with r and visualizations. Here is the summary overview of what you will learn:Graphics in R: Beginner LevelGraphic Devices & ColorsThe Plot FunctionLow Level FunctionsData Visualization in R: Beginner LevelBarplots & Pie ChartsHistograms in rBox and Whisker PlotsScatterplotsIntermediate Data Visualization & Graphics in RWhat is ggplot2?qplot() functionggplot() functionData Visualization with Lattice PackageLattice GraphicsHigh Level Functions in lattice packageLattice Package panel functionsGoing further with data visualizationHow to Handle and switch between graphicsControlling layout with layout functionggplot2 scales and guides: scale_x_continous, scale_y_continous, scale_color_manual,scale_fill_manualscale_shape_manual,scale_shape_manual,scale_alpha_continousguide_legend, gudei_colorbarggplot2 faceting: facet_wrap() vs facet_grid()ggplot2 themesggvis package: scatterplot with layers, interactive plots with input_slider(), add_legend(), add_axis etcAfter completing the course you will receive the electronic certificate that you can add on your resume or CV and LinkedIn profile from Udemy. The access to this course is also lifetime, hence you will learn at your own pace. The course is also updated regularly to ensure it meets all the students demands and students enrolled are learning latest version of r and r studioI am certain with all the material covered in this course you will be able to advance you Data visualization and Data Analysis skills! See you in the first lecture!
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