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Graphics in R: Data Visualization and Data Analysis with R

سرفصل های دوره

Advance your data visualization skills using r packages. Master ggplot2, lattice, interactive plots with ggvis package


1 - Introduction
  • 1 - Introduction to the Course

  • 2 - R and R Studio set up
  • 2 - R 422 and R Studio download and installation
  • 3 - R studio walkthrough

  • 3 - R for Beginners Data Structures Crash
  • 4 - Creating vectors with c function
  • 5 - Creating named vectors with names function
  • 6 - Vectors Attributes
  • 7 - Matrices Creating matrices with rbind and cbind
  • 8 - Matrices Creating matrices with matrix function
  • 9 - Matrices creating matrices with names
  • 10 - Arrays Creating Arrays in r
  • 11 - Arrays Attributes subsets
  • 12 - Creating lists
  • 13 - subscripting lists subsets of a list
  • 14 - Referencing elements in a list
  • 15 - Appending elements in a list
  • 16 - Creating dataframe
  • 17 - Querying data frames attributes
  • 18 - Selecting columns in a data frame

  • 4 - Introduction to Factors in R
  • 19 - Creating factors in R
  • 20 - Factors with factor levels
  • 21 - grep and gsub functions

  • 5 - Importing data into R with tidyverse package
  • 22 - Importing a csv file in r
  • 23 - Importing an excel file in r with tidyverse package

  • 6 - Data Analysis Transformation and Manipulation
  • 24 - Introduction to Data Manipulation
  • 25 - sorting datasets with sort function
  • 26 - Appending
  • 27 - Duplicated Values

  • 7 - Merging with merge function
  • 28 - Understanding Merging
  • 29 - Merging data frames with merge function
  • 30 - left right outer merging using merge function

  • 8 - reshape package melting and casting
  • 31 - what is melting and casting
  • 32 - melting with melt function
  • 33 - casting with cast function

  • 9 - tidyr package gather and spread function
  • 34 - introduction to gather and spread function
  • 35 - gather function
  • 36 - spread function

  • 10 - dplyr package
  • 37 - Introduction to dplyr package for data analysis
  • 38 - create a tabledf object from a data frame
  • 39 - dplyr sort descending and ascending with arrange function
  • 40 - subscripting with filter and select function
  • 41 - add a new column with mutate function
  • 42 - inner join function
  • 43 - dplyr merging functions
  • 44 - what is a pipe operator
  • 45 - pipe operator example

  • 11 - Graphics in R Beginner Level
  • 46 - Introduction to Graphics
  • 47 - Graphic device create pdf file
  • 48 - Graphic device create image device
  • 49 - Introduction to the plot function
  • 50 - Plot function in R
  • 51 - Plot Types
  • 52 - Line Graph with base R
  • 53 - Introduction to low level graphics functions in R
  • 54 - Adding points and lines
  • 55 - Adding text
  • 56 - Adding Legend
  • 57 - Multiple displays with par function
  • 58 - Coding Exercise Instructions.html
  • 59 - Coding Exercise Solution

  • 12 - Data Visualization in R Beginner Level
  • 60 - Introduction to Data Visualizations
  • 61 - Barplots Pie Charts The understanding
  • 62 - Barplots in R Favorite EPL team mock survey dataset
  • 63 - Controlling width and space of the bars
  • 64 - Adding Titles to barplot
  • 65 - Adding legend and creating a horizontal bar plot
  • 66 - Stacked and Grouped Bar plots
  • 67 - Pie Chart in R
  • 68 - Pie Chart with percentages with R
  • 69 - Histogram The understanding
  • 70 - Histogram with R
  • 71 - Histogram with value marker Histogram with mean and labels
  • 72 - Histogram with Kernel density KDE in r
  • 73 - Multiple Histograms
  • 74 - Boxplot The understanding
  • 75 - Boxplot in R
  • 76 - Adding means to a boxplot
  • 77 - Scatterplots The understanding
  • 78 - Scatterplot revisited

  • 13 - Beginner Project Financial Budget Analysis
  • 79 - Project Outline.html
  • 79 - financial-budget.csv
  • 80 - Project Solution
  • 81 - Percentage Distributions of the Funds

  • 14 - Beginner Project Billionaires Analysis
  • 82 - Billionaire.csv
  • 82 - Project Outline.html
  • 83 - Analyzing Billionaires by their Net Worth using R programming

  • 15 - Intermediate Data Visualization Graphics with GGPLOT 2
  • 84 - Understanding ggplot2 package

  • 16 - ggplot2 package qplot function in action
  • 85 - Understanding qplot function
  • 86 - Visualization with qplot function in R
  • 87 - qplot function adding geometric layers
  • 88 - devices with ggplot2 ggsave fucntion
  • 89 - Available geometric layers in ggplot2 regular expression
  • 90 - Creating scatterplots and line graphs with geometric layers with qplot function
  • 91 - smooth with qplot function
  • 92 - grouped scatterplots with qplot
  • 93 - qplot adding text to a scatterplot
  • 94 - Boxplot and violin plot with qplot function
  • 95 - Histogram with qplot function
  • 96 - Creating density plot with qplot function

  • 17 - ggplot2 ggplot function in action
  • 97 - What are Aesthetics
  • 98 - Understanding ggplot2 with ggplot function
  • 99 - Visualization with ggplot function
  • 100 - Aesthetics in R
  • 101 - Creating scatterplots with ggplot function
  • 102 - Example Visualizing gdp growth with ggplot function
  • 102 - gdp.zip
  • 103 - Grouped line chart with ggplot function
  • 104 - Ecommerce website visits with ggplot function Barplots with ggplot2
  • 104 - ecom.zip
  • 105 - Visualizing stock returns with ggplot function Boxplots with ggplot2
  • 105 - stock-returns.zip
  • 106 - Stock returns with ggplot Aesthetics in boxplots
  • 107 - Ecommerce website visits with ggplot function Create histogram with ggplot2
  • 107 - web-visits.zip
  • 108 - Ecommerce website visits with ggplot function Histogram mapping with ggplot2

  • 18 - ggplot2 project Billionaires Analysis with ggplot2 package
  • 109 - Billionaire.csv
  • 109 - Project Outline Material.html
  • 110 - Analyzing Billionares using ggplot2 Solution walkthrough

  • 19 - Lattice Package
  • 111 - 4.Lattice-Package.pptx
  • 111 - Introduction to Lattice Package.html
  • 112 - Creating scatterplots with Lattice Package
  • 112 - diamonds.csv
  • 113 - Grouped Scatterplots with lattice package
  • 114 - Grouping scatterplots with panels
  • 115 - Creating Bargraphs with lattice package
  • 116 - Grouped bar graphs with lattice package
  • 117 - Grouping bar charts with panels using lattice package
  • 118 - Creating Boxplots with lattice package
  • 119 - Controlling layout with lattice package
  • 120 - Creating dot plot and strip plot with lattice package
  • 121 - Creating Histogram with lattice package
  • 122 - Creating density plot with lattice package
  • 123 - Understanding lattice panel functions
  • 124 - Lattice package panel functions in R
  • 125 - Creating a panel function with Lattice Package

  • 20 - Lattice Package project Home Loan Approvals Visualization project
  • 126 - Home Loans Approval dataset.html
  • 126 - home-loans.csv
  • 127 - Home loan approval analysis with lattice package Solution

  • 21 - Going Further with Data Visualizations
  • 128 - Handling devices in R Switching between devices in r
  • 129 - Closing devices in r
  • 130 - Layout function in r
  • 131 - showing layout with layoutshow

  • 22 - ggplot2 scales and guides
  • 132 - What is scaling in ggplot2
  • 133 - scalexcontinous
  • 134 - scaleycontinous
  • 135 - scalecolormanual
  • 136 - scalefillmanual
  • 137 - scaleshapemanual
  • 138 - scalesizemanual
  • 139 - scalealphacontinous
  • 140 - ggplot2 with guide guide guidelegend
  • 141 - ggplot2 with guide argument guidecolorbar

  • 23 - Faceting with gglot2
  • 142 - Faceting aka paneling
  • 143 - ggplot facetwrap
  • 144 - ggplot facetgrid

  • 24 - ggplot2 themes
  • 145 - ggplot2 themes examples
  • 146 - ggplot2 legend themes
  • 147 - ggplot2 global themes

  • 25 - Credit Card Approvals Visualization Project
  • 148 - Credit Card Approval dataset description.html
  • 148 - credit-cards.csv
  • 149 - Credit Card Approvals project solution with ggplot2
  • 150 - Credit Card Approvals project solution with ggplot2 continue

  • 26 - Interactive r plots ggvis package from shiny
  • 151 - ggvis package explained
  • 152 - Scatterplot with ggvis package
  • 153 - ggvis interactive scatter plot ggvis input slider
  • 154 - ggvis addaxis labels title
  • 155 - ggvis addlegend
  • 156 - ggvis add regression line confidence intervals
  • 157 - ggvis barplot or bar graph line graph with points
  • 158 - ggvis boxplot and interactive histogram example

  • 27 - Supermarket Sales Visualization Project
  • 159 - Supermarket Sales data and outline.html
  • 159 - market.csv
  • 160 - Supermarket Sales Analysis solution walkthrough
  • 161 - Supermarket Sales Analysis solution walkthrough part 2

  • 28 - 3d scatter plots in r
  • 162 - 3D Scatterplot example in r
  • 163 - 3D Scatterplot in r group by shapes
  • 164 - 3D Scatterplot in r group by color
  • 165 - 3D Scatterplot in r group by shapes and color
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