SVM Application to HW#2

Do differences in per capita healthcare spending correlate with adult obesity prevalence?

In Part II of the this final project, we will import the sterilized data sets from Part I that are located on the GitHub repository. I chose to analyze the number of clinical experiences the students participated against their scores on the program final examination. I also chose to look at the average survey scores for each of the clinical rotations the students participated with the overall examination score.

Since all of this data is individually protected by FERPA (Family Educational Rights and Privacy Act), we must be sure to protect the individual identity of any students during this project. Though the data source for the clinical rotations was imported into R through the URL below, the URL will be deactivated before presentation and publication on RPubs. The data will then be tidy, transformed, and then exported to two usable files where the student names will be replaced with anonymous identifiers. It will be those files that may be used for analysis and further investigation.

SVM data classification

Demonstrate the use of unite, separate, and pivot_wider functions of the Tidyr package.

Linear Regression

Text mining and sentiment analysis

Extra credit assignment plus video uploaded to YpuTibe

Part 2 of 2 part lab

Part 1 of a 2 part lab.

Select three (3) data sources from the discussion board, tidy and transform the data, conduct the suggested analysis.

Lab #4 for DATA 606

Create a SQL database and import flight data to tidy and transform. Perform an analysis of the data using TidyR and Dplyr packages..

ggplot and other options in R

Lab #3 discussing the "Hot Hand" hypothesis.

The importing of data from Project #1 that could be used to identify the top 5 over performers and the top 5 under performers.

Modification of a chess tournament result txt file to structure the data in a format that is useful for analysis and possible exporting to a SQL database.

Character strings and manipulation

Second assignment involving accessing a SQL server database through R, and to modify the data to manage missing elements.

Assignment #1 RMD File

Modified lab report for DATA 606.