Code Clinic: R
Offered By: LinkedIn Learning
Course Description
Overview
Practice coding with R. Explore common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.
Syllabus
Introduction
- Welcome
- Getting the most from Code Clinic
- Introduction: The weather at Lake Pend Oreille
- Overview of linear models solution
- Importing data from GitHub
- Calculating the coefficient of barometric pressure
- Plotting the pressure and fit line
- Introduction: Where am I?
- Overview of geolocation solution
- Retrieving my latitude and longitude
- Mapping my location
- Introduction: Eight queens
- Overview of eight queens solution
- Modeling the problem to exclude columns
- Setting up to exclude rows
- Filtering for diagonal conflicts
- Efficiently storing the results
- Plotting the result
- Introduction: Accessing peripherals
- Overview of accessing peripherals solution
- Use Tcl/Tk and sonify( ) for a theremin
- Introduction: Facial recognition
- Overview of facial recognition solution
- Sending an image to Microsoft Cognitive Services Face API
- Rendering the image with face boxes
- Saving the results in JSON
- Introduction: Real-time information dashboard
- Overview of dashboard solution
- Using Shiny Server to serve data values
- Using an R package for data and functions
- Using the Shiny client to render data
Taught by
Mark Niemann-Ross
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