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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
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Coursework Description

 

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

 

 

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 have to be documented with an explanation.

 

·         Report your finding from the analysis carried out.

(Recommends visualizing the reports produced with graph/chart)

 

Deliverable 

 

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.

 

 

Assessment Criteria

 

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%)
(5/5)
Attachments:

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