BUSFIN 711 – FINANCIAL ANALYTICS APPLICATIONS

BUSFIN 711 – FINANCIAL ANALYTICS APPLICATIONS

Assignment 3: Project

DUE: 4PM, FRIDAY 6 SEP 2024

General

• This is an individual assignment.
• The assignment is marked out of 100 marks and worth 40% of your overall grade

for this course.

• Please submit online through Canvas by the due date.
• In this course, students are prohibited from using generative artificial intelligence

text and art generation software, such as ChatGPT and DALL.E, to produce output

that is used directly as part of their assessments. The work you submit must be

substantially your own work, you must carry out your own analysis and write your

own text. You may use AI tools as a source of information or to help generate

ideas. However, you should take care to check the accuracy of information

provided by AI tools and where appropriate you should go back to the original

source of information.

• If you use external sources, you must provide references. This can either be done

in APA style or ‘professional style’ which should identify at a minimum the source,

author and date where applicable. You do not need to reference the lecture notes.

If you are referencing information obtained from AI tools, you should reference

the original source of the information, not the AI tool.

• Late submissions will lose 24% of marks for each day they are late.

Overall requirements

The purpose of this assignment is to write a manuscript with Quarto. You choose a

question you want to explore using one of the two datasets provided. To perform well on

this assignment, 代 写BUSFIN 711 – FINANCIAL ANALYTICS APPLICATIONS you should demonstrate a solid understanding of the Quarto manuscript

format and relevant Python techniques that have been covered in the course so far.

The two datasets you can choose from to create your manuscript and answer your

question are:

• Election data: P00000001-ALL.csv on https://github.com/wesm/pydata

book/tree/3rd-edition/datasets/fec

• Patent data: KPSS_2022.csv on https://github.com/KPSS2017/Technological

Innovation-Resource-Allocation-and-Growth-Extended-DataChoose only one of these datasets. Do not use both of the datasets.

You should develop a question to explore and answer using the Quarto manuscript that

you will build based on your chosen dataset.

Detailed instructions

Submission format:

(1) Create an empty folder for Assignment 3.

(2) Create a Quarto manuscript project and store it in the folder created in Step 1.

Change the name of the index.qmd to 0_main_file.qmd.

(3) Develop your manuscript to meet requirements of reproducible analytical

pipelines and to produce a convincing manuscript.

(4) Compress the folder created in Step 1 and submit the compressed file to Canvas.

Meet requirements of reproducible analytical pipelines:

(1) Main content: The manuscript you create should be reproducible. Specifically,

numbers, figures, and tables should be traceable back to your code.

(2) Output format: HTML, Word, and PDF. You should make sure your manuscript

can be easily and automatically outputted as all these three formats.

Hint: Before submission, remember to click on Word and PDF within VS Code

preview to ensure these formats work properly.

(3) Article notebook (or qmd file)：Please ensure your article notebook appears

properly in the html format of the manuscript.

(4) Other notebooks (or qmd file): At least one additional notebook should appear in

the html format of the manuscript.

Hint: You can consider putting code related to figures into this notebook. Then

import figures generated from this script using Quarto external embeds.

Meet requirements of a convincing manuscript:

(1) Your story is convincing and gets good support from your codes, numbers,

figures, tables, equations, and descriptions.

(2) Your writing should be more than 1,000 words, but no more than 2,000

words.

(3) You should divide your writing into multiple sections. Any references should be

properly listed at the end of the manuscript.

(4) Your manuscript should demonstrate a good understanding of automatic cross

references, including figures, tables, equations, and sections.

(5) Please consider using relevant markdown techniques covered in the course to

make your manuscript more readable.