Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Learning R for Data Visualization
Introducing Scientific Plotting in R
The Course Overview (5:32)
Preview of R Plotting Functionalities (3:15)
Introducing the Dataset (3:21)
Loading Tables and CSV Files (4:41)
Loading Excel Files (3:33)
Exporting Data (4:18)
Scientific Plotting in ggplot2
Creating Histograms (5:01)
The Importance of Box Plots (3:44)
Plotting Bar Charts (2:43)
Plotting Multiple Variables – Scatterplots (3:06)
Dealing with Time – Time-series Plots (2:38)
Handling Uncertainty (4:15)
Customizing Plots
Changing Theme (3:07)
Changing Colors (3:19)
Modifying Axis and Labels (2:40)
Adding Supplementary Elements (4:08)
Adding Text Inside and Outside of the Plot (5:02)
Multi-plots (3:59)
Exporting Plots
Exporting Plots as Images (3:24)
Adjusting the Page Size (2:32)
Interactive Plots in rCharts
Getting Started with Interactive Plotting (2:44)
Creating Interactive Histograms and Box Plots (4:55)
Plotting Interactive Bar Charts (3:12)
Creating Interactive Scatterplots (2:58)
Developing Interactive Time-series Plots (3:47)
Creating a Website with Shiny
Getting Started with Shiny (4:09)
Creating a Simple Website (4:52)
File Input (3:09)
Conditional Panels – UI (3:44)
Conditional Panels – Servers (5:31)
Deploying the Site (5:37)
Getting Started with Interactive Plotting
Complete and Continue