i uploaded the files. subject name is data visualisation and it not R coding but i think it has to...

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i uploaded the files. subject name is data visualisation and it not R coding but i think it has to be done in R but it is report forVisualisation Project Planinstructions are there in data.pdf and some instructions for data are there in advice,pdfi don't know the no of pages to written so follow the assignment and complete the report in pages that required
the data source(s) you choose should be large and rich enough to allow for visual presentation of data features from multiple perspectives and at different levels of complexity.

Note: The data you use for this project should not come from other courses you have completed or are currently undertaking. Rather, it should be identified specifically for the purposes of this project. Links to some public data sources are posted under Online Resources tab on the course website.

data-wkwpueqe.pdf advice-mvc1zb4u.pdf

Pritam · Accepted Answer

---
title: "Untitled"
author: "Untitled"
date: "27 September 2019"
output: pdf_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# Introduction:
The data set is chosen for ansering different aspects of the NFL players involved in different arrest incidents. This mostly covers the data from the year of 2000 to 2017. Hence it could be assumed to be a rich source for any kind of visualization analysis. SO, the basic questions that are planned to be answered here is the following. During which year the players get arrested mostly? Who are the top 20 players involved in such arrest incidents? Which position players are involved in these kind of incidents? What are the main outcome of such incidents? What kind of categories do these incidents belong to?
# Data Sources: 
Basically, the data is taken from http://nflarrest.com/ which actually provides an interactive visualized database of National Football League player Arrests & Charges. This is an official official website and hence trustworthy as far aS the validity and reliability of the data is concerned. The data set mainly contains 850 observations and 8 variables. All the attributes seem to be quite significant while answering the questions mentioned above. The variables are Date, Team, Name of the player, Case against him, Category of the case he was involved in, Description of the crime, Outcome of the arrest incident. As far as the questions asked are concerned this data seems to be perfect and rich enough to visualize the answers and hence to have a clarified concept about the players and the incidents.
# Project Plan:
Throughout the analysis the summarization technique is applied first to collect and arrange the data properly before any further visualization technique. The ggplot function in R has been quite useful in this concern. Mainly different types of bar chart to represent the idea properly.
# Exploratory data analysis(EDA):
# Required libraries:
```{r, warning=FALSE, message=FALSE}
library(rpart.

i uploaded the files. subject name is data visualisation and it not R coding but i think it has to be done in R but it is report forVisualisation Project Planinstructions are there in data.pdf and...

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