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COMM1190 Assessment

创建日期：2024-05-10 16:33:23

所属分类：计算机computer science

标签： COMM1190

Assessment

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COMM1190 Assessment 1: Individual Report

A written report
Maximum word count of 750, excluding references, figures, tables, and Appendix
Via Turnitin on Moodle course site

Objective
The objective of this individual assessment is to test your ability in conceptualizing and
solving analytics problems, your skills in R programming, and your ability in providing
business recommendations based on analytics results. In this assignment, you will
undertake an exploratory data analysis in the role of a data analyst. You are expected
to analyze data using statistics and visualisation techniques. These learning content
has been covered in the course up until the end of week 3.
Description
A manufacturing company MechTech is launching an initiative of improving its
workforce performance. The leadership team aims to explore the factors that are
associated with the job performance of their employees. MechTech has contracted
you as a data analyst to investigate these factors. The company provides you with the
data including attributes such as employees’ demographic information (e.g., gender,
age, education) and job information (e.g., department, years at the company,
mentoring, training). A detailed description of each attribute of the dataset is presented
in Appendix A: Data Dictionary.
MechTech requires you to:
1. conduct descriptive analytics to identify the factors that are associated with the
job performance of their employees. Note that Descriptive Analytics refers to
statistics and visualization techniques. As an example, a box plot and a bar
chart are considered as two different techniques.
2. provide recommendations to its leadership team about how to improve job
performance based on the descriptive analytics results.
How to Download Dataset
Use the following R-script to directly download the data in R-studio by typing the last
7 digits of your zID (e.g., zID is 3241403) as highlighted in yellow below:
Note that students will have a personalized data set, thereby different results and
recommendations even using the same analytics technique.
Guidance on Data Analysis
1. There is not a single correct answer to the assignment. The dataset includes
many attributes for you to explore, and some attributes are likely to be more
useful than others. Therefore, it is important that you systematically explore
different variables in the dataset to facilitate your analysis.
2. Consider potential, key factors that are associated with low performance across
the workforce by relating them to real-world scenarios. You can look for industry
examples and/or academic references to justify your selection of variables.
3. Although you may create many graphs for your assignment, you only want to
include figures that support your main findings. Those graphs should
summarize the associations that you are reporting.
4. Your recommendations to the leadership team at MechTech should be well
supported by your visualizations and/or statistics summaries.
5. You should explicitly state any key assumptions that impact your data analysis.
Requirements:
1. Problem Identification (10%)
• Formulate a business problem.
• State the purpose of the analytics tasks.
2. Data Analysis (50%)
• Justify the selection of techniques and variables. More than 3 variables
are recommended for your analysis.
• Apply appropriate descriptive analytics techniques to analyze data.
• Use visualization graphs to explore associations between variables.
Visualization graphs include histograms, bar charts, scatter plots, box
plots, etc.
• Interpret analytics results.

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