Objectives

The objective of this assingment is to conduct an exploratory data analysis of a data set that you are not familiar with. In this weeks lecture we discussed a number of visualiation approaches to exploring a data set, this assignment will apply those tools and techniques. An important distinction between class examples and applied data science work is that interative and repetitive nature of exploring a data set. It takes time and understand what is is the data and what is interesting in the data.

For this week we will be exploring data from the NYC Data Transparnecy Initiative. They maintain a database of complaints that fall within the Civilian Complain Review Board (CCRB), an independent municiple agency. Your objective is to identify interesting patterns and trends within the data that may be indicative of large scale trends.

This link will allow you to download the data set in .xlsx format. The data file has two tabs: one with metadata, and the “Complaints_Allegations” tab with the actual data.

Deliverables and Grades

For this assignment you should submit a link to a knitr rendered html document that shows your exploratory data analysis. Organize your analysis using section headings:

This is a top section

This is a subsection

Your final document should include at minimum 10 visualization. Each should include a brief statement of why you made the graphic.

A final section should summarize what you learned from your EDA. Your grade will be based on the quality of your graphics and the sophistication of your findings.

library("ggplot2")
## Warning: package 'ggplot2' was built under R version 3.4.4
library("readxl")
## Warning: package 'readxl' was built under R version 3.4.4
ccrb_data<- read_excel("D:/Google Drive Sync/Harrisburg University/CourseWork/Trimester 3/Data Visualization/Week 9/ccrb_datatransparencyinitiative_final.xlsx")

Visual 1

Visual 2

Visual 3

Visual 4

Visual 5

Visual 6

Visual 7

Visual 8

Visual 9

Visual 10

## Warning: Ignoring unknown parameters: binwidth, bins, pad