Math 335
Syllabus
Tools
R/R-Studio Details
Slack & Stackoverflow Details
R-Lab
RStudio Connect
Python Details
Tasks
Hathaway
Assignment Schedule
Weekly Reading List
Palmer
Assignment Schedule
Weekly Reading List
General
Semester Task List
Team Lead Guidance
Task Backgrounds
Project
R-Lab
Git/GitHub
Start Here
One Image
Additional Links
Book
Course Textbook
R for Data Science
Git/GitHub and R
R Markdown: The Definitive Guide
Geocomputation with R
Supplemental Material
Happy Git and Github for the useR
plotly for R
Computing in R for Social Sciences
Statistical Concepts in Presenting Data:
Advanced R
R Packages
Tidy evaluation
Fundamentals of Data Visualization
Geocomputation with R
Crosstalk: htmlwidgets add-on
Visit Me
Class Discussion Materials
Weeks 1 & 2: Introduction to R and Data Science
1/8 (Day 1):
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1/13 (Day 2):
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1/15 (Day 3):
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1/22 (Day 4):
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Weeks 3 & 4: Programming in the Tidyverse
1/27 (Day 5):
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1/29 (Day 6):
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2/3 (Day 7):
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2/5 (Day 8):
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Week 5: Handling Varied Data Types
2/10 (Day 9):
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2/12 (Day 10):
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Week 6 & 7: Characters and RegEx
2/18 (Day 11):
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2/19 (Day 12):
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2/24 (Day 13):
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2/26 (Day 14):
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Week 8 & 9: Dates and Time
3/2 (Day 15):
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3/4 (Day 16):
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3/9 (Day 17):
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3/11 (Day 18):
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Week 10 & 11: Spatial
3/23 (Day 19):
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3/25 (Day 20):
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3/30 (Day 21):
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3/18 (Day 22):
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Week 12 & 13: Finishing (Project and Semester Deliverables)
3/18 (Day 23):
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4/1 (Day 24):
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NA/NA (Day 25):
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NA/NA (Day 26):
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Random Stuff
Spatial Class
hathaway restaurant code
temple data sealing activity
Overview of Git and GitHub use in our course
. Please note the folder structure you need in your repository.
ggplot2 intro
: It has a nice example for
stat_summary()
git command workflow
Data is Beautiful
Zipcode Shape Files