Learn ggplot2 in R for Data Visualization

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[ FreeCourseWeb.com ] Udemy - Learn ggplot2 in R for Data Visualization
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 Welcome to the course!
    • 001 Course structure and methodology.en.srt (2.7 KB)
    • 001 Course structure and methodology.mp4 (37.2 MB)
    02 Crash course on R
    • 001 Chapter 1 Introduction.en.srt (1.5 KB)
    • 001 Chapter 1 Introduction.mp4 (20.5 MB)
    • 002 What is R_.en.srt (4.6 KB)
    • 002 What is R_.mp4 (16.4 MB)
    • 003 Installing R and RStudio.en.srt (5.9 KB)
    • 003 Installing R and RStudio.mp4 (69.3 MB)
    • 004 First steps in R.en.srt (10.7 KB)
    • 004 First steps in R.mp4 (92.7 MB)
    • 005 Basics of R_ Atomic types and Vectors.en.srt (12.4 KB)
    • 005 Basics of R_ Atomic types and Vectors.mp4 (40.7 MB)
    • 006 Basics of R_ Lists.en.srt (11.9 KB)
    • 006 Basics of R_ Lists.mp4 (45.4 MB)
    • 007 Basics of R_ Matrices.en.srt (11.5 KB)
    • 007 Basics of R_ Matrices.mp4 (44.5 MB)
    • 008 Basics of R_ Arrays.en.srt (4.6 KB)
    • 008 Basics of R_ Arrays.mp4 (16.4 MB)
    • 009 Basics of R_ Dataframes.en.srt (12.5 KB)
    • 009 Basics of R_ Dataframes.mp4 (50.5 MB)
    • 010 Basics of R_ Summary of the Data Types.en.srt (1.4 KB)
    • 010 Basics of R_ Summary of the Data Types.mp4 (5.8 MB)
    • 011 Basics of R_ Factors.en.srt (5.7 KB)
    • 011 Basics of R_ Factors.mp4 (29.4 MB)
    • 012 Utilities in R_ Reorder a dataframe by factor levels.en.srt (4.5 KB)
    • 012 Utilities in R_ Reorder a dataframe by factor levels.mp4 (20.6 MB)
    • 013 Utilities in R_ Read a dataset from a file.en.srt (15.2 KB)
    • 013 Utilities in R_ Read a dataset from a file.mp4 (73.9 MB)
    • 014 Utilities in R_ Transforming data with dplyr.en.srt (22.4 KB)
    • 014 Utilities in R_ Transforming data with dplyr.mp4 (132.5 MB)
    • 014 readSample.csv (0.4 KB)
    • 015 Utilities in R_ Handling missing values.en.srt (4.5 KB)
    • 015 Utilities in R_ Handling missing values.mp4 (22.3 MB)
    • 015 transformSample.csv (0.5 KB)
    • 016 Utilities in R_ Generation of sequences.en.srt (13.7 KB)
    • 016 Utilities in R_ Generation of sequences.mp4 (48.5 MB)
    • 017 Utilities in R_ Handling dates.en.srt (8.6 KB)
    • 017 Utilities in R_ Handling dates.mp4 (44.7 MB)
    • 018 Utilities in R_ Merging two dataframes.en.srt (8.6 KB)
    • 018 Utilities in R_ Merging two dataframes.mp4 (46.8 MB)
    • 019 transformSample.csv (0.5 KB)
    03 The Grammar of Graphics
    • 001 Chapter 2_ Introduction.en.srt (0.7 KB)
    • 001 Chapter 2_ Introduction.mp4 (10.9 MB)
    • 002 Why ggplot2_.en.srt (9.0 KB)
    • 002 Why ggplot2_.mp4 (35.6 MB)
    • 003 How to draw a simple plot_.en.srt (11.4 KB)
    • 003 How to draw a simple plot_.mp4 (47.7 MB)
    • 004 The components of the Grammar of Graphics.en.srt (12.2 KB)
    • 004 The components of the Grammar of Graphics.mp4 (48.3 MB)
    04 Geometries and line plots
    • 001 Chapter 3_ Introduction.en.srt (1.2 KB)
    • 001 Chapter 3_ Introduction.mp4 (17.3 MB)
    • 002 Geometries.en.srt (7.3 KB)
    • 002 Geometries.mp4 (26.8 MB)
    • 003 Saving your plot.en.srt (8.1 KB)
    • 003 Saving your plot.mp4 (31.1 MB)
    • 004 The line plot family.en.srt (9.6 KB)
    • 004 The line plot family.mp4 (43.7 MB)
    • 005 Drawing line plots with multiple lines.en.srt (4.6 KB)
    • 005 Drawing line plots with multiple lines.mp4 (24.5 MB)
    • 006 Line plot Exercise.en.srt (0.6 KB)
    • 006 Line plot Exercise.mp4 (1.9 MB)
    • 007 Line plot Exercise_ Solution.en.srt (3.6 KB)
    • 007 Line plot Exercise_ Solution.mp4 (24.8 MB)
    • 029 Line_plot_exercise.pdf (91.9 KB)
    05 Datasets, mappings and scatter plots
    • 001 Chapter 4_ Introduction.en.srt (0.6 KB)
    • 001 Chapter 4_ Introduction.mp4 (8.6 MB)
    • 002 Datasets and mappings.en.srt (13.9 KB)
    • 002 Datasets and mappings.mp4 (50.5 MB)
    • 003 Overriding aesthetics.en.srt (3.1 KB)
    • 003 Overriding aesthetics.mp4 (13.0 MB)
    • 004 Setting vs. mapping.en.srt (5.2 KB)
    • 004 Setting vs. mapping.mp4 (23.7 MB)
    • 005 Data formats and the melt function.en.srt (15.5 KB)
    • 005 Data formats and the melt function.mp4 (91.7 MB)
    • 006 Scatter plots (1 of 2).en.srt (11.0 KB)
    • 006 Scatter plots (1 of 2).mp4 (60.1 MB)
    • 007 Scatter plots (2 of 2)_ Colors and labels.en.srt (16.7 KB)
    • 007 Scatter plots (2 of 2)_ Colors and labels.mp4 (121.0 MB)
    • 008 Scatter plots_ Exercise.en.srt (1.7 KB)
    • 008 Scatter plots_ Exercise.mp4 (5.8 MB)
    • 009 Scatter plots_ Exercise Solution.en.srt (10.7 KB)
    • 009 Scatter plots_ Exercise Solution.mp4 (71.4 MB)
    • 035 longWidedata.csv (0.2 KB)
    • 038 Scatterplot_exercise.pdf (627.3 KB)
    06 Statistical transformations and Plotting Distributions
    • 001 Chapter 5_ Introduction.en.srt (1.0 KB)
    • 001 Chapter 5_ Introduction.mp4 (15.5 MB)
    • 002 Statistical transformations (stats).en.srt (12.9 KB)
    • 002 Statistical transformations (stats).mp4 (55.0 MB)
    • 003 Interesting stats.en.srt (11.5 KB)
    • 003 Interesting stats.mp4 (48.6 MB)
    • 004 Computed aesthetics.en.srt (5.1 KB)
    • 004 Computed aesthetics.mp4 (23.8 MB)
    • 005 What are distributions and how to plot them_.en.srt (2.7 KB)
    • 005 What are distributions and how to plot them_.mp4 (6.2 MB)
    • 006 Histograms and frequency polygons.en.srt (11.1 KB)
    • 006 Histograms and frequency polygons.mp4 (73.9 MB)
    • 007 Density plots.en.srt (6.1 KB)
    • 007 Density plots.mp4 (33.5 MB)
    • 008 Histogram and stats_ Exercise.en.srt (1.2 KB)
    • 008 Histogram and stats_ Exercise.mp4 (4.6 MB)
    • 009 Histogram and stats_ Exercise Solution.en.srt (5.5 KB)
    • 009 Histogram and stats_ Exercise Solution.mp4 (28.8 MB)
    • 010 Boxplots.en.srt (16.5 KB)
    • 010 Boxplots.mp4 (87.4 MB)

    • Description

      Learn ggplot2 in R for Data Visualization

      MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
      Genre: eLearning | Language: English + srt | Duration: 87 lectures (10h 30m) | Size: 3.36 GB
      Data Viz is essential for data analysis and data science, so become an expert in ggplot from scratch!
      What you'll learn:
      How to use ggplot2 from scratch
      How to produce publication-ready plots in seconds
      Gain an understanding of the grammar of graphics, the theory behind ggplot2
      Learn the basics of R that you need to start plotting
      Learn why ggplot2 is the current best option for Data Visualization
      Learn the structure of a plot in ggplot and its components
      Learn how to use the different ggplot geometries
      Learn how to import data into ggplot correctly
      Learn how to do statistical transformations on your data before plotting
      Learn how to use the different position adjustments in ggplot
      Learn how to use scales properly: color, position, date and other
      Learn how to use scales in manual and identity mode
      Learn the different coordinate systems and how to apply them
      Learn how to draw small multiples in ggplot using the faceting system
      Learn how to customize the appearance of your plot using the theme system
      Learn how to draw basic plots, like scatter plots, line plots, or bar charts
      Learn how to display distributions: e.g. histograms, density plots, boxplots, violin plots
      Learn how to draw maps: from background maps to annotated choropleth maps
      Learn how to draw your own custom plots: e.g. lollipop plots, dumbbell plots
      Learn how to make highlighted faceted charts
      Learn how to make any plot look professional
      (Don't tell anyone, but you'll also learn how to draw pie charts)

      Requirements
      No previous experience with ggplot2 is required
      No previous experience with R is required, a crash course on R is offered at the beginning
      Basic knowledge of using any programming language

      Description
      Hi, my name is Clara and I am a Complex Systems researcher and Data Visualization professor at the University.

      In this course, I'm going to teach you how to use the ggplot2 package of R to draw amazing charts that are able to communicate what your data has to say in the most polished, professional way.

      ,



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Learn ggplot2 in R for Data Visualization

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4 GB
seeders:5
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Learn ggplot2 in R for Data Visualization

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