GitHub - vincentpun123/Characterizing-Political-Opinions: Apply traditional statistical methods such as PCA and FA to characterize political opinions within survey research data

vincentpun123 / Characterizing-Political-Opinions Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Apply traditional statistical methods such as PCA and FA to characterize political opinions within survey research data

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Fig-1-Corrplot.jpg		Fig-1-Corrplot.jpg
Fig-2-Scree-plot.jpg		Fig-2-Scree-plot.jpg
Fig-3-Heatmap.jpg		Fig-3-Heatmap.jpg
Fig-4-Path-Diagram.jpg		Fig-4-Path-Diagram.jpg
Mar19public.sav		Mar19public.sav
Pun_411_Assignment1.Rmd		Pun_411_Assignment1.Rmd
Support-1-Numbered-DF-Logic.pdf		Support-1-Numbered-DF-Logic.pdf
Support-2-Feature-Engineering-Logic.pdf		Support-2-Feature-Engineering-Logic.pdf
pun-v-code.txt		pun-v-code.txt
pun-v-paper.pdf		pun-v-paper.pdf
readme.txt		readme.txt

Repository files navigation

MSDS 411
ASSIGNMENT 1 - README 
PREPARED BY VINCENT PUN

***************************************************************************************************************************

LIST OF FILE NAMES AND DESCRIPTIONS OF FILES: 

1. pun-v-paper.pdf = text content of the paper 
2. pun-v-code.txt = complete program code used to access and analyze the data 

3. Fig-1-Corrplot.jpg = Figure 1, part of paper 
4. Fig-2-SCree-plot = Figure 2, part of paper
5. Fig-3-Heatmap.jpg = Figure 3, part of paper
6. Fig-4-Path-Diagram.jpg = Figure 4, part of paper 

7. Support-1-Numbered-DF-Logic.pdf = Logic used to recode data 
8. Support-2-Feature-Engineering-Logic.pdf = Logic used to create interesting variables
9. Mar19public.sav = Pew Research Center March 2019 Political Survey Data 

***************************************************************************************************************************