The statistical analysis process through data manipulation or exploitation with R techniques has to be documented with an explanation

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

• Select appropriate approaches to perform statistical analysis on a set of data (A3, PLO9)
• Demonstrate the ability to solve a specific problems with R scripts (C3, PLO2)

2019-2020 England Premier League season

You will be advised to study England Premier League championship to gain a basic understanding of the football matches before proceed to analyze the given dataset. The given dataset is provided by the sports-statistics.com on the England Premier League for the season 2019 to 2020.  Explore and examine the 208 records provided using any suitable statistical analysis techniques to obtain the desired results. Statistical analysis techniques include data manipulation / exploitation process using appropriate R concepts and techniques. 

The dataset comprised of 208 matches. These records are based on the achievement of 20 football clubs. Following are the core variables in the given dataset. 

Column	Description
Div	League Division
Date	Match Date (dd/mm/yy)
HomeTeam	Home Team
AwayTeam	Away Team
FTHG	Full Time Home Team Goals
FTAG	Full Time Away Team Goals
FTR	Full Time Result (H
Home Win, D	Draw, A
Away Win)
HTHG	Half Time Home Team Goals
HTAG	Half Time Away Team Goals
HTR	Half Time Result (H
Home Win, D	Draw, A
Away Win)
Attendance	Crowd Attendance
Referee	Match Referee
HS	Home Team Shots
AS	Away Team Shots
HST	Home Team Shots on Target
AST	Away Team Shots on Target
HHW	Home Team Hit Woodwork
AHW	Away Team Hit Woodwork
HC	Home Team Corners
AC	Away Team Corners
HF	Home Team Fouls Committed
AF	Away Team Fouls Committed
HO	Home Team Offsides
AO	Away Team Offsides
HY	Home Team Yellow Cards
AY	Away Team Yellow Cards
HR	Home Team Red Cards
AR	Away Team Red Cards

Requirements

• You are required to study, analyse and interpret the dataset provided by producing different reports out of the 208 records. 

· Develop your solution with RStudio.

· Document any assumptions made during data exploration.  

· The statistical analysis process through data manipulation or exploitation with R techniques has to be documented with an explanation. 

· Report your finding from the analysis carried out.

(Recommends visualizing the reports produced with graph/chart) 

A.  A report which includes the following 

·  Introduction (assumption and what do you want to achieve)

·  Solution 

ü  Explain the applied techniques / Concepts for data manipulation

ü  Implemented R scripts 

ü  Screen capture of the outcome of the program execution such as

i.  Results

ii. Reports

iii. Visualization (if any)

·  References

B. An R script file of your solution.

The assignment comprised of 2 components; Approach (50%) and R Scripts (50%). The detailed breakdown of each component are as follows:

A.    Approach

• Understanding of the scenario (5%)
• Analysis Approach – Exploration and Manipulation  
• Importing data from an external resource into the working environment and cleaning / pre-processing (5%)
• Choosing the Data Exploration and manipulation techniques – filtering, sampling, categorization, etc (25%)
• Discussion on the finding (15%)      

B.     R Scripts

 

• R Scripts provided are relevant and based on the applied techniques (25%)
• Apply and implements additional logics functions to extend the analysis (25%)

Attachments:

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