Semester 1 2020
Business Intelligence and Data Visualization
Extension Tasks
Due Date: Friday, 15th May 2020 by 11:59pm AEST
Assessment Weighting: 20%
Assessment: Group (The assignment should be completed in groups)
Team Formation & Submission Procedure
1. The submission must be a single MS Word or PDF document named
Ass2_GroupXXXX.docx (where XXXX must be replaced by your team number.
2. Please continue use the team number we assigned to you for assignment 1, unless you
change team)
o Headings must be clear.
o All images must be annotated.
o To avoid plagiarism, you are required to provide a reference whenever you include
information from other sources in your work (see unit outline for more information).
Your submission will be submitted to Turnitin to check for plagiarism.
3. Please make sure each group will ONLY make ONE submission through Canvas. Do
not email the assessment to either the convenor or tutor.
4. The first page of your word or PDF submission for the assignment should be a cover
sheet (see Canvas), which includes your team members’ names and student ID.
5. The contribution of each group member shall be considered equal (e.g., 33% of
contribution for group of three), unless the peer-assessment form is submitted. The peerassessment form should only be submitted, if the contributions of group members are
significantly disparate (e.g., a single group member has a more than 50% contribution);
6. The assessment should be in one single Microsoft Word compatible document and
should be written in 12 point font size and should use 1.15 line spacing between each
line.
7. Penalties for late submissions apply.
In previous semesters, many groups have divided work based on sections of the
assignment. E.g. “Dave, you do question part 1a, Sue you do part1b & c, Karen you do
part 2 and I’ll do the headings and submit the assignment”. This approach usually results in
poor outcomes. The report reads badly and lacks continuity and sometimes contradicts itself.
Suggestion to all students: Try to be involved with all parts of the assignment
Marking Criteria
A rubric will be used to assess your work. This rubric will be provided to you in Canvas.
PART 1: Crowdfunding (600-800 words)
Introduction
Kickstarter.com is a website that allows users to create projects in order to obtain crowdfunding for creative pursuits such as such as films, music, stage shows, comics, journalism,
video games… and so on. Each project seeks monetary pledges from people. Most often
projects are offered tangible rewards and one-of-a-kind experiences in exchange for their
pledges.
Similar examples: http://www.pozible.com/project/31823
https://www.gofundme.com/seespotshred
https://www.kickstarter.com/projects/1926605606/12-is-better-than-6
Data from kickstarter has been gathered and is available in the file named
PleaseFundThis.xlsx (downloadable from Canvas). The columns within the spreadsheet are:
project_name
date_launched
duration_days
goal_$
percent_raised
amt_pledged_$
major_category
minor_category
project_updated_count
city
region
number_of_pledgers
comments_count
avg_amt$_per_pledger
project_has_video
project_has_facebook_page
facebook_friends_count
project_has_pledge_reward
lowest_pledge_level_reward_$
highest_pledge_level_ reward_$
total_count_of_pledge_levels
project_success
Penny Robinson is a very talented young woman. She can act, sing, write, paint etc. In fact
she can do anything creative.
Penny’s only problem is that she doesn’t have any money. She wants to obtain money via
crowd-funding to fund a creative project. She knows that you have a spreadsheet full of data.
She wants to know if you can give her any advice about creating a crowd- funded project
based on the data if the file. E.g. what will make her project more likely to succeed?
Tasks
Your tasks is to use BigML and SPSS to
1. Explore the data. Find information that you think will be useful to Penny (and to
other people who want to create similar crowd-funding projects).
2. Attempt to determine which (if any) what are the most important attributes of the project
in terms of whether a project succeeds (meets the required funds)
3. List and present the most important attributes and justify why this is so (with the use of
BigML and SPSS screen dumps and supporting explanation / discussion).
Suggestion:
| | Save the Excel file as a CSV file before loading into BigML. This generally allows column headings to be used field names rather than ‘field1’, ‘field2’ … |
You need run different models and choose the best one.
Part 2: Research Report on Crowdfunding Project
(2000-2500 words)
In part 1, you run many different models for crowdfunding project. Please pick up only
ONE model based on SPSS analysis and write a research report on it.
The structure of the research paper should include:
1. Introduction
Introduce the crowdfunding platform and the project objective based on your model.
2. Literature Review
Conduct literature review on prior crowdfunding research, identify the most
important factors that influence crowdfunding projects based on previous research.
3. Hypotheses Development
Based on the literature review, build your hypotheses (i.e., 3-4 hypotheses).
4. Data Analysis
Using SPSS to conduct data analysis and to test your hypotheses
5. Discussion and Conclusion
Conclude your results and discuss your findings.
Suggestions:
o There is one research paper related to crowdfunding paper uploaded to
Canvas for your reference.
o There is an instruction on how to write SPSS report in Canvas Assignment
Extension tasks
o Here is the useful video of SPSS to help you write the data analysis report
https://www.youtube.com/watch?v=WQeAsZxsXdQ&t=82s
https://www.youtube.com/watch?v=6xcQYmPDqXs
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