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Factors
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Notes on Conditional Execution
SMU CSC 101
Variables Expressions and Statements
Notes on Chapter 2 of PY4E
Lab 3 Practice
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Exercises on Relationships
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Employment Indicators
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Presidential Performance
This is a function which uses FRED data to compare the performance of US presidents.
CSC 360 March 16 2020
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Build Nat0718
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Exercises 1
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Binary to Decimal
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Exercises on Tuples
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Class Demo
Class Demo
Counting with Dicts
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Dictionary Exercises
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Compare
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Get and Clean 2
Get a second weather station for comparison with Olympia.
Files Exercises
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Function Exercises
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Get and Clean
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List Exercise 3
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GHCN Resources
Creating and using the GHCN resources file.
Notes on Iteration
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Notes jan 22
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Notes on Conditional Execution
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Notes CSC 530 Nov 25
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Notes Nov 18 CSC 530
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Sets in Python
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Why Data Analysis
Presentation for MTH201
CSC 520 Notes Nov 4 Part 1
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Why Data Analysis
Flyer for CSC 360
Regular Expressions 2
Python Class Notes
Regular Expressions 1
Python Class Notes
Notes Oct 28
AKA June 3
Review 10-23
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Fertility Study Oct 19
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Old Presidential Performance
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Presidential Performance Oct 2019
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Tour the Cheatsheet
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Truth Tables in Python
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List Exercises 2
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List Exercises 1
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Exercises on Strings
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Stavely on Conditional Execution
Section 3.2
CSC 530 Lecture 2 Notes
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Demo Aug 26
Class Demo
The Cost of Trump
Productively thinking about Trump.
Using Logical Values
Class notes.
Notes July 8
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Notes July 1
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CSC 595 June 24 Notes
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CSC 595 June 17 Notes
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CC 595 June 10 Part 2
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CSC 595 Notes June 10
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Notes CSC 595 June 3
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KMeans Example
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Logistic Regression WA
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Transformations
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Train Test
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Gather-Spread
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Algorithms
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Big-Oh
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Notes March 4 2019
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Zstar Explanation
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Notes Feb 6 2019
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Probability MSSA
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CSC 360 Feb 1 2019
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Class 1-25
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SD and MAD
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Notes for Module 1
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BigO
Notes for CSC 101-CAD
Daily Weight
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Logistic Regression
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Beeswarm and Violin
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Waffle Plot
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Kernel Density Estimate
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Use of tapply
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OLS Regression Assignment
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Walker Notes
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Healy Chapter 7 Part 1
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Fertility Study 2018
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Healy Chapter 6 Part 2
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Healy Chapter 6 Part 1
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CSC 530 Lecture 7
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Healy Chapter 5 Part 3
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Reference Table 2
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Probability Theory Notes
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Reference Table
For CSC 101
CSC 530 Lecture 6
Class Notes
Oct 4 Stuff
Presentation on Olympia Weather
October 4 Presentation
Notes on Olympia Weather
Healy Chapter 5 Part 2
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Healy Chapter 5 Part 1
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Healy Chapter 4 Part 2
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CSC 530 4 Lecture Notes
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Healy Chapter 4 Part 1
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CSC 530 Lecture 2 Notes
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Class Demo Fall 18
Stuff
Module 2 Notes
Notes for Module 2 of Math& 146 at Pierce college
Notes 4-30
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Demo for CSC 101
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KNN Presentation
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Regular Expressions 2
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Regular Expressions
Python class notes
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ROC
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Probability, Odds and Logistic Regression
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Tuples and Dictionaries
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Multiple Assignment
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Overfitting
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Notes on Timing
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Notes on Tuples
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Notes on Augment
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Notes 3-26
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Notes 3-21-18
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Fertility Study 2
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Python Lecture 12
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Notes on RFDS 2
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Python Lecture 11
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Python Lecture 10
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Python Lecture 9
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Notes on RFDS 2
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Test 1 Review
CSC 101 Test 1
Python Lecture 8
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Python Lecture 7
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Python Lecture 6
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Python Lecture 5
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Python Lecture 4
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Python Lecture 3
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Python Lecture 2
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Python Lecture 1
Class Notes CSC 101
Notes 12-5
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Notes 11-29 CSC 463
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Notes 11-28 CSC 360
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Notes 11-22
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Plotly Animation Demo
Class Demo
Notes 11-15 CSC 360
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Notes 11-8 CSC 360
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Notes 11-7 CSC 360
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Using predict
Math& 146 query
Notes 11-1 CSC 360
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Notes 11-1 CSC 463
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Notes 10-31 CSC 360
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Titanic Graphs
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Notes 10-27 CSC 463
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Notes 10-25 CSC 463
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Notes 10-24 CSC 360
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Class Notes CSC 463
Notes 463 10-16 and 10-18
Fall 2017 CSC 463
Rain in Olympia
Class Project
Extra Notes on olywthr
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Notes for 10-10 Class
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Notes 9-27-17
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Notes 9-20-2017
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Demo
Class Demo
Factors
A look at the basic characteristics of factors.
Exploring Data
This is an old version of Lab 2
Week 3 Lecture Notes
Week 3 Lecture Notes CSC 463
Week 3 Questions
Questions for Week 3 of CSC 463
Tour the ggplot2 Cheatsheet
Exercises based on the cheatsheet of ggplot2 created by RStudio.
MTH 381 Review
MTH 381 Review
Classification 1
Classification 1
Linear Regression Models
Linear Regression Models
Notes 4-3-2017
Notes 4-3-2017
Notes on Probability Theory MTH 381
Notes on Probability Theory MTH 381
Plotting Aggregates
Plotting Aggregates
Tidyr and Correlation Matrices
Tidyr and Correlation Matrices
Dplyr Basics
Dplyr Basics
Log Transformations
Log Transformations
GGPlot2 Part 2
GGPlot2 Part 2
GGPlot2 Part 3
GGPlot2 Part 3
GGPlot2 Intro
GGPlot2 Intro
Notes 3 6
Notes 3 6
Notes from 2 22 2017
Notes from 2 22 2017
Notes 2 27 2017
Notes 2 27 2017
Notes 3 3 2017
Notes 3 3 2017
Class Demo
Junk
Class Demo Jan 27
Class Demo Jan 27. SMU CSC 360
Baby Names
Baby Names - Harold Particularly.
CSC 360 Module 3 Notes
CSC 360 Module 3 Notes
Numerical to Factor
Convert a numerical variable to a factor.
CSC 360 Module 2 Notes
CSC 360 Module 2 Notes
Exploratory Data Analysis of 2 Variables
Exploratory Data Analysis of 2 Variables
PASS Presentation 10-19-16
PASS Presentation 10-19-16
Exploring the CDC Dataset
This is for the students in my introductory statistics course. The CDC dataset was provided by OpenIntro.org
CSC 360 Module 7 Lecture Notes
CSC 360 Module 7 Lecture Notes
CSC 360 Module 6 Lecture Notes
CSC 360 Module 6 Lecture Notes
CSC 360 Module 5 Lecture Notes
CSC 360 Module 5 Lecture Notes
CSC 360 Module 4 Lecture Notes
CSC 360 Module 4 Lecture Notes
CSC 360 Lecture 3 Notes
CSC 360 Lecture 3 Notes
Module 2 Lecture Notes
Module 2 Lecture Notes CSC 360 Spring 2016.
CSC 360 Lecture 2 Notes
CSC 360 Lecture 2
Lecture 1 Notes CSC 360
Lecture 1 Notes CSC 360
Notes on Probability Theory
Probability Theory Lecture Notes
Module 7 Lecture Notes
Lecture Notes for Module 7
JUnk
Junk
Confidence Interval Exercises
Exercises on confidence intervals.
Module 6 Notes
Lecture notes for Module 6
Module 1 Notes
Lecture notes for Module 1
Publish Plot
Washington County Map
Publish Document
Exercises on the Normal Distribution
Publish Document
Module 4 Lecture Notes
Publish Document
Exercises on the binomial distribution
Notes_on_Lab_3
These are notes for preparing Lab 3 in my introductory statistics class.
Module_4_Lecture_Notes
Lecture notes for Module 4 in my Intro Stat class.
Preview-8ed81f98c1a8
Lecture notes for Module 3 of my Intro Stat class.
Module_2_Notes
Lecture notes for the second module of my introductory statistics class.
Notes_for_Module_1
These are notes for Module 1 of my introductory statistics class as of March 31, 2015.
Subsetting a Dataframe
Subsetting a dataframe
Module_7_Lecture_Notes
These are lecture notes for Module 7 of my Pierce College Intro Stat Class.
Module_8_Lecture_Notes
Lecture notes for Module 8 of my Pierce College Intro Stat. course.
CI_Code_Snippets
Code Snippets to construct confidence intervals
New_Module_6
Module 6 After the Pierce College revision
Module_4_Lecture_Notes
Lecture Notes for Normal and Binomial Distributions
Preview-69e6124e0595
Course evaluation for my grounded course
Module_2_Lecture_Notes
Lecture notes for Module 2 in my Intro Stat course
Cheatsheet
This is a cheatsheet for the typical R commands needed in an Intro Stat course.
Getting_Started_with_Software
This document contains instructions for getting started with the software used in my my introductory statistics course.
Module_7_Lecture_Notes
Module 7 Lecture Notes
Module_6_Lecture_Notes
Module 6 Lecture Notes
Module_5_Lecture
Lecture Notes for Module 5 of my Intro Stat Class
Module 5 Lecture
The Lecture for Module 5 of my Intro Stat course.