|INF30030 HS2 – 2020
Assignment 2 – Problem Solving
When it comes to Business Analytics (BA), understanding the data is a key challenge but at
the same time is inevitable. Understanding the business data helps with identification of issues
inside the dataset, finding tools or solutions to resolve those problems and finally preparation
of data for analysis. Hence, data exploration is an important stage in BA.
In this assignment your task is to find a dataset relating to a business (e.g., shopping, airline,
patients visiting clinic) and use the proposed analysis and visualisation tools in RStudio to (1)
explore your dataset, (2) identify at least one business problem in the data, (3) identify issues
in the data if there is any and (4) propose solutions to solve the problem. You also need to
discuss how you used those tools (e.g., step by step explanation) and also you need to provide
visualisations for each attribute and/or all the attributes together (e.g., looking at the Pearson
correlation). In summary your assignment will contain the following:
• Introduction on the tool that you are using and why you are using it.
• Exploration of data with the aim of finding any issues in the data (e.g., missing values)
• Visualising each attribute along with proper explanations for each visualisation
• Looking at various correlation metrics and measuring the correlation between various
or all the attributes
• Identifying at least one business problem
• Proposing/recommending solutions to solve the problem.
• Sections and subsection relevant to various visualisations (I suggest at least 5 sections
to show various types visualisations and findings),
• Discussions and proposed solution(s)
• Conclusion and future works
• References if there is any
What to submit
Word file (NOT pdf) of the assignment. This file can contain all the visualisations along with
Deadline and word count
• Approximate word count: 2000 (including everything).
• Deadline for submission: Check Canvas.
• Overall weight: Check Canvas.
|Below expectations||Meeting expectations||Exceeds expectations|
|Business problem (15 marks)
What are the key objectives that
the project aims to achieve along
with the discussion on their
|Response does not address or
partially addresses the business
objectives. Response is brief and
lacks development. Contains
little evidence that the students
have identified and clearly
presented the business objectives
of the project.
|Response is adequate. But
could be developed further.
Demonstrates that the
students have identified some
of the business objectives of
Goes beyond what is required in
some meaningful way. Very clear
understanding of business
|Data exploration and Preparation
(25 marks) How and why the data
was cleaned and prepared before
|The dataset used for analytics
and visualizations has significant
weaknesses such as missing,
duplicate, inconsistent and
irrelevant data. Overall, the
dataset used is not fit‐for
|There are some efforts made
to clean data but data still
presents with considerable
issues. There is insufficient
and insignificant justification
on the data preparation
|The data is cleaned and fit‐for
purpose and includes good
justification of the selected data
|Data visualisation and analytics
(20 marks) What type of analytics
performed on the data and their
relevance with the project’s scope
and business objectives?
|Data analytics techniques
demonstrated in the project are
irrelevant and does not
contribute towards achieving the
business objectives stated earlier
in the project
|Adequate data analytics
techniques demonstrated in
|Excellent data analytics
techniques demonstrated in the
project that contributed
significantly in achieving the
business objectives of the project.
recommendations (30 marks)
What are the conclusions that you
draw from the analysis? ~750
|The conclusions are incoherent,
insufficient or misleading in
relation to the stated business
|The conclusions are
coherent, but not convincing
to address the stated business
|The conclusions are convincing,
sufficient and adequate to address
the stated business objectives.
|Written expression (10 marks)
Formal, level of details, grammar,
spelling, and punctuation used in
the written report.
|Insufficient, incomplete and
irrelevant contents. It is hard to
know what the writer is trying to
express. Writing is convoluted.
Misspelled words, incorrect
grammar, and improper
punctuation are evident.
|Writing is generally clear,
but unnecessary words are
occasionally used. Few
spelling, grammar, or
punctuation errors are made.
Majority of the key contents
included in the report.
|Writing is crisp, clear, and
succinct. Choice of language
enhances effectiveness of the
document. Ideas are supported
with evidence. No spelling,
grammar, or punctuation errors are
made. All the key components of
the project are included in the
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