Analysis of drug overdose data set

Please filter out all data in the attached data set except for columns related to age, sex, race, and the different drugs that were used. Please use analysis techniques that observe the relationships and trends between these variables.

Requirements (three parts):

1. “Working” R Markdown file
o This document should contain the work you’ve done to try different plots and parameters.
o Also, keep track of key checkpoints during your analysis.

2. Final Markdown file and knitted HTML output
•
o Introduction
 Background on the project and dataset
 State the research question
o Data Preparation
 Setting up the data (for example, filtering and normalization steps)
o Analysis
 Labelling the figures (Fig1, Fig2, ect.) will help with referencing figures during the discussion.
 Create a linear workflow from your “working” R Markdown file to walk through your analysis.
 For example, in the “working” file, you may show tSNE plots where you tried different dimensions or perplexities whereas the final markdown will state “Dimensions of … and perplexities of … were applied, these current parameters best represented the data because …” along with a SINGLE formatted output figure per analysis
 The output figure can contain panels compiled together from a different plot.
 Describe the findings from the figure and how/if it leads to further downstream analysis.
Create a shiny app to observe the relationship between the age, gender and race variables with the types of drugs used. This should be made available and deposited at Shinyapps.io.
Example of how the markdown file can be organized.
# Introduction
TEXT
# Data Preparation
### Workflow
### Output figure/table
### Findings and next steps
# Analysis 1
### Workflow
### Output figure/table
### Findings and next steps
# Analysis 2
### Workflow
### Output figure/table
### Findings and next steps