STAT 547 @ UBC 2019-20
About This Guide
- Other Contributors
1 Introduction to STAT 545 and GitHub
2 Introduction to R
3 Authoring
4 The version control workflow
- 4.1 Learning Objectives
- 4.2 Working with git and GitHub
5 Intro to plotting with ggplot2, Part I
6 Intro to data wrangling, Part I
7 Intro to data wrangling, Part II
8 Intro to plotting with ggplot2, Part II
9 Tidy Data and Pivoting
10 Tibble Joins
11 File input/output (I/O)
12 Working with factors in R
13 Effective Visualizations
14 The Model-Fitting Paradigm in R
STAT 547M
15 (1) Review of STAT 545
16 (2) Git workflows
17 (3) Functional programming in R: Part I
18 (4) Functional programming in R: Part II
19 (5) Automate tasks and pipelines I
20 (6) Parameterized reports and presentations
21 (7) DashR: Part I
22 (8) DashR: Part II
23 (9) DashR: Multi-level callbacks and layouts
24 (10) DashR: Layouts and Styling Dashboards
25 (11) Deploying your dashboards on Heroku
26 (12) Introduction to creating packages in R
(November 2018) STAT 547M
(1) Functions
(2) Be the boss of your character data
(3) Functional Programming
- 26.9 Announcements
- 26.10 Worksheet
(4) List Columns
(5) R Packages, Part I
(6) R Packages, Part II
(7) Dashboarding, Part I
(8) Dashboarding, Part I
(9) Automation, Part I
(10) Automation, Part II
- 26.43 Review
- 26.44 make pipeline activity
(11) Getting Data from the Web: scraping
(12) Getting Data from the Web: API’s
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STAT 547 @ UBC: Class Meeting Guide 2019/20

(11) Getting Data from the Web: scraping

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