English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 18m | 251 MB
Successful programmers know more than just how to code. They also know how to think about solving problems. Code Clinic is a series of courses where our instructors solve the same problems using different programming languages. Here, Mark Niemann-Ross works with R. Throughout the course, Mark introduces challenges and then provides an overview of his solutions in R. Challenges include topics such as statistical analysis and accessing peripheral devices.
Table of Contents
Introduction
1 Welcome
2 Getting the most from Code Clinic
Problem One – Weather Statistics
3 Introduction – The weather at Lake Pend Oreille
4 Overview of linear models solution
5 Importing data from GitHub
6 Calculating the coefficient of barometric pressure
7 Plotting the pressure and fit line
Problem Two – Where Am I
8 Introduction – Where am I
9 Overview of geolocation solution
10 Retrieving my latitude and longitude
11 Mapping my location
Problem Three – Eight Queens
12 Introduction – Eight queens
13 Overview of eight queens solution
14 Modeling the problem to exclude columns
15 Setting up to exclude rows
16 Filtering for diagonal conflicts
17 Efficiently storing the results
18 Plotting the result
Problem Four – Musical Instrument
19 Introduction – Accessing peripherals
20 Overview of accessing peripherals solution
21 Use Tcl Tk and sonify for a theremin
Problem Five – Facial Recognition
22 Introduction – Facial recognition
23 Overview of facial recognition solution
24 Sending an image to Microsoft Cognitive Services Face API
25 Rendering the image with face boxes
26 Saving the results in JSON
Problem Six – Real-Time Information Dashboard
27 Introduction – Real-time information dashboard
28 Overview of dashboard solution
29 Using Shiny Server to serve data values
30 Using an R package for data and functions
31 Using the Shiny client to render data
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