YoVDO

Code Clinic: R

Offered By: LinkedIn Learning

Tags

R Programming Courses Facial Recognition Courses Linear Models Courses Geolocation Courses

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
1. Problem One: Weather Statistics
  • 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
2. Problem Two: Where Am I?
  • Introduction: Where am I?
  • Overview of geolocation solution
  • Retrieving my latitude and longitude
  • Mapping my location
3. Problem Three: Eight Queens
  • 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
4. Problem Four: Musical Instrument
  • Introduction: Accessing peripherals
  • Overview of accessing peripherals solution
  • Use Tcl/Tk and sonify( ) for a theremin
5. Problem Five: Facial Recognition
  • 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
6. Problem Six: Real-Time Information Dashboard
  • 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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