You will be advice to study the England Premier League championship to gain the basic understanding of the football matches before proceed to analyse the given dataset.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

 

You will be advice to study the England Premier League championship to gain the basic understanding of the football matches before proceed to analyse 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 that were extracted from http://www.football-data.co.uk/ website. These records are based on 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)
HTR	Half Time Result (H)
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

 

 

 

• 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 have 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/examine)

·         Solution 

ü  Explain the applied techniques / concepts for data analysis

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 details 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 –, description, filtering, sampling, categorization, etc (20%)
• Discussion on the finding (20%)

           

B.     R Scripts

 

• Implements the chosen approaches (exploration and manipulation) to perform the analysis with R Scripts (25%)
• Apply and implements additional logics, functions and techniques to extend the analysis (25%)

Attachments:

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