A Minimal Book Example
1
R Markdown Report
1.1
Introduction
1.2
Loading Libraries
1.3
API Call
1.4
Tables and Graphs
1.5
Reflection
2
Law Firm Analysis
2.1
Introduction
2.2
Loading Libraries
2.3
Overview
2.4
Agency
2.5
Plate State
2.6
Interpretation
2.7
County
2.8
Final
3
Midterm
3.1
Introduction
3.2
Merge and Base Cleaning
3.3
Create Derived Variables
3.4
Descriptive Statistics
3.5
Visualization
3.6
T-Tests
3.7
Anovas + Post-Hocs
3.8
Synthesis & Reccomendation
3.9
Reflection
4
NBA Analytics
4.1
Introduction
4.2
Loading and Preparing the Data
4.3
Adding Conference Information
4.4
Visual Exploration
4.5
Correlation Analysis
4.6
Findings
5
Florida Crime Analytics
5.1
Introduction
5.2
Loading and Preparing the Data
5.3
Exploratory Data Analysis
5.4
Correlation Analysis
5.5
Building Regression Models
5.6
Communicate Your Findings
6
Streaming Analytics
6.1
Introduction
6.2
Data Preparation
6.3
Visualization
6.4
Chi-Square Test
6.5
Observed, Expected, and Residual Values
6.6
Contributions to the Chi-Square Statistic
6.7
Effect Size
6.8
Final Interpretation
7
Wage Analytics
7.1
Introduction
7.2
Creating the WageCategory Variable
7.3
Data Cleaning
7.4
Classical Statistical Tests
7.4.1
T-test
7.4.2
Anova
7.4.3
Chi-Square Tests
7.5
Logistic Regression Model
7.6
Model Evaluation
7.7
Final Interpretation
8
Shiny App and NYC 311 Data
8.1
Introduction
8.2
Loading our libraries
8.3
Now we are calling the data
8.4
Inputs and Outputs
8.5
Embedded Application
8.6
Conclusion
9
Final Reflection
References
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Reproducible Psychology R Exploration
References