Digital Analytics – Individual Project + Report

Digital Analytics – Individual Project + Report

Carefully read this entire document at the beginning of the semester

Objective

The goal of the individual project is to combine and implement all the research and analytical skills you acquired throughout the five training modules (1-5). You are tasked with completing an entire project from hypothesis to results, reporting on the process and the outcomes in a 1,500 to 2,000 word research paper. Although you get quite some help with the data collection, the processing, analysis, and visualisation are up to you. You will have to assemble Python code to accomplish this.

Independence is key. Although we will extensively train all the required steps in the learning materials and tutorials, it is up to you to knit everything together, make your own logical decisions and explain them. That is the whole point of this project. When you work as a professional analyst, you will only get an overview of a problem and maybe some requirements. It is your responsibility to deliver, to make decisions and to come up with solutions. That said, if you read through this document, you will find numerous tips and tricks to get you started and guide you through the process.

You will inevitably get stuck a few times. Do not let it discourage you. That is just the way it goes with any project. Plan ahead, sensibly combine the skills that you acquired throughout the course, and critically weigh the benefits and limitations. There is not one single approach. There will be plenty of opportunities to interact with the teaching staff during the semester and discuss your progression. The last weeks of the semester, prior to the deadline, are entirely allocated to Q&A about this final project. However, try to start as early as possible.

The problem

It is often said that popular music increasingly homogenises. It all ‘sounds the same’ in favour of synthetic dance music with the same sound colour, rhythm, and tempo. Music used to be much more diverse. Ok, boomer.

In your project, you will contextualise this assumption in literature and empirically put it to the test by comparing the top hits in of the past 50 years for their key audio features (1970-2020). You need to mould this research problem into a testable hypothesis. A hypothesis is a specific, concise, testable, and refutable statement.

Format

The final product of your research project is a Blackboard assignment submission (each file separately, notin a consolidated archive such as a .zip or .rar) that contains:

AllPythonfiles

These are the Python files you used in your project to collect, process, analyse, and visualise data. Some of these Python scripts are already provided by us on Blackboard. You can just use them (provided that you understand what is going on) and, as you will read later, potentially improve them.

The filenames should contain numbers that make clear in what sequence they should be run to replicate your project (e.g., 01_datacollection.py, 02_datacollection.py, 03_dataprocessing.py, 04_dataanalysis.py, 05_datavisualisation.py). There is no expectation of a set number of files, but they should cover your entire project and be chronologically labelled with numbers (i.e., 01_, 02_, 03_, etc.).

There is no need to submit any image files and/or data files. Running your Python code should allow us to (re)produce these.

Awrittenreport

  1. Introduction. This report starts with a concise introduction of the research problem (about 300 words), which leads to the formulation of a testable hypothesis. It is requiredto support this introduction with academic references (APA-style).
  2. Method section. In this section you explain the steps you took, and you explain the decisions that have been made while collecting and processing the data prior to analysis. You explain where you got what data (as if you collected all data yourself), why you need the data that you are collecting, how they are combined and cleaned, and what they look like (i.e., sample size, procedure to clean the data). Any kind of measure (i.e., variable) needs to be explained: what it is, what it represents. Do not assume that your reader knows anything about the project, nor will they have the courage to sift through any of your Python code. It is up to you to explain the procedure as clear and methodical as possible. There is an example of a method section in the Module 5a learning materials.

Important:

  1. The method section does not include any Python code. None at all. You write about what you did in an overviewing narrative. You should enable your reader to understand the steps you took, but you do not want to overwhelm with minute detail (the code is in appendix anyway).
  2. Do not use abstract variable names in your method section. Name or explain your variables in plain English so everyone can understand what they mean. Again, your text should be accessible, even for a slightly less motivated reader. If it becomes hard work to read your report, your reader is likely to tune out.
  1. Resultssection.Explain the steps taken in your data analysis and sketch out the results. What did you do with the data in terms of analysis (i.e., what (statistical) procedure?),

and what are the results? You need to explain what technique you use to establish what insight. Sensibly combine textual description, tables, and/or data visualisations. Explain what the data tell you, but do not yet start discussing what the results exactly mean. There is an example of a results section in the Module 5b learning materials.

Important:

  1. Carefully format your tables and visualisations. Do not screenshot outputs from the console. That just looks horrible and reflects poorly on your work, not doing it any justice. Format your own ‘clean and lean’ tables whenever needed.
  2. Avoid (excessive) redundancy. There is no need to include the same results in textual AND tabular AND visual form. That is overkill and just confuses your reader. It makes you look indecisive. Make decisions on what presentation form communicates your results the clearest. A good approach is to visualise and tabulate results and describe the key findings in the results text.
  1. Discussion section. You interpret the results in light of the hypothesis and emphasize what this means in light of the research problem. What did you learn from the data? What does it potentially mean for the literature in the introduction? Make sure you also critically assess the strengths and weaknesses of the method you used. Nothing is perfect and choices have consequences. What are they in your case? Think about it. At the end of the Scraping and API modules, you’ll find some critical remarks that will set you on the right path.
  2. Appendix section with a chronological overview of your code files. You do not only have to submit your .py files, you also need to copy/paste your code into the appendix section of your paper in chronological order (first script first, last script last).

Please consider these formattingrequirements:

  • Use Times New Roman 11pt and 1.15 spacing.
  • Title page contains the title of your project, your name, your student number. Do not include any visuals and/or logos.
  • Write at least 1,500 and maximum 2,000 words (references, tables, figures are excluded from the word count). This might not seem a lot, but it is plenty for what you need to write, and it will keep you focused. Make every word count.
  • Tables and figures are included in the text and should be captioned.

Most important is that your lay-out is tidy and looks like a professional research report. Avoid frivolities, keep everything nice and clean.

Assessment criteria

This project makes up 51% of your final grade. Since we have 7 graded exercises of equal weight (7%), that should roughly make up half of the grade, the remaining 1% needed to go somewhere. That explains the somewhat ‘strange’ number.

The marking rubric:






Work is of poor quality and has multiple fundamental shortcomings

Work is of sufficient quality, it has no fundamental shortcomings but there are multiple minor shortcomings


Work is of more than sufficient quality, with only rare minor shortcomings

Work is of outstanding quality, nearing perfection: there are no shortcomings whatsoever
Improve provided code and data qualityYou are able to significantly improve the provided programming code that collects the data in such a way that the quality of the data collection significantly improves (0 in case of no attempt beyond the provided code/data files)

10%


0


1


2


3
Introduction: contextualising research questionsA clear identifiable, sound research question or a testable hypothesis that is contextualised in literature: why is it relevant to research, how does it fit in with literature?
10%

0

1

2

3
Method: transparency in procedureA clear narative that aplty explains the choices that have been been and the steps that have been taken in collecting and processing data. It describes the proces and the data (i.e., its dimensions and distributions)
20%

0

1

2

3
Processing and results: efficacy of data processing, analysis and transparency in reporting results (textually and visually)Is the code to process and analyse the data sound? Is your procedure and its outcomes clearly communicated through text, tables and/or visuals?


20%



0



1



2



3
Discussion: quality of discussionAre the results correctly interpreted and actively linked with the introduction?15%0123
Discussion: quality of applied methodIs there a thorough discussion of strengths and weaknesses of the method?15%0123
Formatting and languageIs the text carefully formatted (including figures and tables)?10%0123

The first rubric category needs a bit of explanation. On Blackboard, you will find code ready-made Python code that collects the data you need. These data are provided as well (see item on Final Project in the Learning Resources). This code (and the data it produces) is a decent attempt and allows you to test the hypothesis. You have two options:

Option 1:You incorporate the Python code and use the data as is provided on Blackboard. This means you can immediately proceed to the data processing and analysis. However, the code is far from perfect and there are ways to improve the data collection from the Spotify API. If you choose notto attempt to improve the code, that is perfectly fine. It does come with the consequence that you will not get a mark for the rubric ‘Improve code and data quality’, which represents 10% of the paper score (so 5.1% of the total grade).

Option 2:You do improve the code and enhance the data quality. Thumbs up for you! Depending on how successful you are, you will get marks for the first rubric as a reward for taking on the challenge. Continue reading to get more information on what can be improved in the ‘tips and tricks’ section below.

Timing

The deadline of this assessment is set on 3 June 2022 at 4pm Brisbane time.

You are encouraged to start early on the project. You can take a head start by writing the introduction. Upon completion of each module, you can advance in your project as well (see tips and tricks for concrete pointers on what module you need for what step). When we finish Module 3, you can figure out the scraping code that is available on Blackboard. After Module 4, you can do the same for the subsequent API interactions (and hopefully improve that code). There will be ample time after we have concluded Module 5 for you to do the analysis and the write up of your process/results/discussion.

The last three weeks of the course are fully dedicated to the project. The regular tutorial slots in the last three weeks are fully reserved for Q&As on the project. Questions on any part of the project are welcomed during these tutorial slots.

Tips and tricks

To get you started, this document gives some valuable pointers for the different steps of the research process.

Data collection

  • You need data on what music was the most popular in the past 50 years (1970-2019 – until, so not including – 2020). What better data source than the official charts? We can use https://www.billboard.com/ to get data. The good news is that you do not have to do this yourself. We provide code that scrapes the top 20 of the first week of April, August, and December for every year (1970-2019) – (e.g., https://www.billboard.com/charts/hot-100/1970- 01-01/) . The file is named 01-scraping.py. We also provide the resulting datafile, which is named billboard.csv, so there is no need to run the code, although you’re more than welcome to do so. You will be expected to carefully inspect the code and fully understand what it does to complete the methods section. We will spend some time going through it during the second tutorial on Web Scraping (Module 3). In the methods section you are expected to explain that code as part of your project, as if you have written it yourself. The code and data are available on Blackboard (see Final Project item in the Learning Resources).
  • Having that dataset with the most popular hits of the past five decades, you need to get their audio features of those songs in the charts to assess whether those have changed over time, which is what we’re assuming. The Spotify API provides a brilliant resource with its Audio Features Endpoint: https://developer.spotify.com/console/get-audio-features-track/. You are not required to use all of them: make a sensible selection based on reason and literature. Since you are using an API, you will find the appropriate resources in Module 4. You will notice in the documentation that the Audio Features Endpoint requires a Track ID as an argument for each call. This implies that before we can get audio feature information, we need to get a Track ID. This ID can be searched for and obtained through the Search Endpoint (we will extensively train Spotify API interactions in the module and tutorials on APIs). Again, you do not need to worry: the code to search for Track IDs (02-gettrackid.py) and audio features (03- getaudiofeatures.py) is provided on Blackboard, as well as the data that is gathered by running it (spotify_trackid.csv and spotify_audiofeatures.csv). However, that code is far from perfect:

you will notice that there are a lot of missing values. That is, artist and song title combination that didn’t return a matching Track ID and hence can’t return any audio features either. If you successfully experiment with the format of the query, you can improve this, which will get you marks on the first criterion of the Final Project marking rubric.

  • Note that Spotify is sensitive for excessive requests rates, so I would advise to pause your script in between requests as well. After all, you are about to perform over 2,000 requests per run. Time-outs of 0.10 to 0.25 seconds (one tenth to a quarter of a second) usually do the trick – I tested this, varying the intervals, and Spotify seemed OK with it. Just check that you are getting

[200] response codes, and not [229] responses. When you’re running the API requests in Replit, make sure the browser window stays foregrounded, so it doesn’t time out. This might take about 20-25 minutes.

Data processing

  • You need to thoroughly explore, inspect, and clean the data. Module 5a will teach you how to do that. Be as specific as you can (see the example of a method section at the end of the module).
  • You will need to aggregate data per year. Data aggregation is explained and trained in Module 5b (and its tutorial). Eventually you need a dataset with one aggregated observation per relevant audio feature per year. You might want to describe central tendency for a measure such as e.g., bpm (mean and/or median). That would allow you to sketch how music has generally changed through the years. It does not tell us much (or anything) about the diversity, the homogeneity or heterogeneity. That why, to test the hypothesis, you definitely also need the dispersion(e.g., standard deviation) as we are assuming that the variability over time decreases (i.e., an indication of homogenisation, which it is all about). In fact, that dispersion is the key focus. The previous sentence is set in red, so it must be REALLY important!

Do you need a refresher on dispersion? See https://www.statisticshowto.com/dispersion/

Data visualisation and analysis

  • You are working with longitudinal data. A time series is likely the most insightful way to visually describe the trends over time in your data. Again, we trained this in Module 5b.
  • Looks can deceive, so definitely include formal statistical tests to consider the relations between time and aggregated audio features per year. Module 5 contains the necessary resources.

Good luck!

Order Now

Get expert help for Digital Analytics – Individual Project + Report and many more. Express delivery, plag free, 100% safe. Order Online Now!

No Fields Found.
Universal Assignment (February 1, 2023) Digital Analytics – Individual Project + Report. Retrieved from https://universalassignment.com/digital-analytics-individual-project-report/.
"Digital Analytics – Individual Project + Report." Universal Assignment - February 1, 2023, https://universalassignment.com/digital-analytics-individual-project-report/
Universal Assignment June 28, 2022 Digital Analytics – Individual Project + Report., viewed February 1, 2023,<https://universalassignment.com/digital-analytics-individual-project-report/>
Universal Assignment - Digital Analytics – Individual Project + Report. [Internet]. [Accessed February 1, 2023]. Available from: https://universalassignment.com/digital-analytics-individual-project-report/
"Digital Analytics – Individual Project + Report." Universal Assignment - Accessed February 1, 2023. https://universalassignment.com/digital-analytics-individual-project-report/
"Digital Analytics – Individual Project + Report." Universal Assignment [Online]. Available: https://universalassignment.com/digital-analytics-individual-project-report/. [Accessed: February 1, 2023]

Please note along with our service, we will provide you with the following deliverables:

Please do not hesitate to put forward any queries regarding the service provision.

We look forward to having you on board with us.

Get 90%* Discount on Assignment Help

Most Frequent Questions & Answers

Universal Assignment Services is the best place to get help in your all kind of assignment help. We have 172+ experts available, who can help you to get HD+ grades. We also provide Free Plag report, Free Revisions,Best Price in the industry guaranteed.

We provide all kinds of assignmednt help, Report writing, Essay Writing, Dissertations, Thesis writing, Research Proposal, Research Report, Home work help, Question Answers help, Case studies, mathematical and Statistical tasks, Website development, Android application, Resume/CV writing, SOP(Statement of Purpose) Writing, Blog/Article, Poster making and so on.

We are available round the clock, 24X7, 365 days. You can appach us to our Whatsapp number +1 (613)778 8542 or email to info@universalassignment.com . We provide Free revision policy, if you need and revisions to be done on the task, we will do the same for you as soon as possible.

We provide services mainly to all major institutes and Universities in Australia, Canada, China, Malaysia, India, South Africa, New Zealand, Singapore, the United Arab Emirates, the United Kingdom, and the United States.

We provide lucrative discounts from 28% to 70% as per the wordcount, Technicality, Deadline and the number of your previous assignments done with us.

After your assignment request our team will check and update you the best suitable service for you alongwith the charges for the task. After confirmation and payment team will start the work and provide the task as per the deadline.

Yes, we will provide Plagirism free task and a free turnitin report along with the task without any extra cost.

No, if the main requirement is same, you don’t have to pay any additional amount. But it there is a additional requirement, then you have to pay the balance amount in order to get the revised solution.

The Fees are as minimum as $10 per page(1 page=250 words) and in case of a big task, we provide huge discounts.

We accept all the major Credit and Debit Cards for the payment. We do accept Paypal also.

Popular Assignments

Assessment 4: Tableau Dashboard and Report

Issued:                Monday of Week 4 Due:                     11:59PM (local Time) Wednesday of Week 7 Weight:                60% Report Length: 1500 – 4000 words + Tableau *.twbx file Overview During this assessment you will produce an interactive Tableau Dashboard and an accompanying report detailing the planning of the Tableau Dashboard. Background Tableau dashboards

Read More »

Assessment 3: Critical Review of a Tableau Dashboard

Issued:                Monday of Week 1 Due:                     11:59PM (local Time) Sunday of Week 5 Weight:                20% Length:               5-10 minutes (approx. 500-3000 words) Overview During this assessment you will produce a video presentation critically reviewing a Tableau dashboard from a design planning and communication perspective. Background Tableau dashboards are used extensively for

Read More »

Wireless Communication Engineering Assignment Help

Looking for Wireless Communication Engineering Assignment Help? If you are looking for wireless communication engineering assignment help, just get it quickly online! The good news is that you no longer need to chase your professors around with confusion about assignments. Nor do you have to stress out as chase that

Read More »

Assessment 2: Planning and Creating Static Visualisations

Due:                     11:59PM (local Time) Sunday of Week 3 Weight:                20% Length:                1000-2500 words Overview During this assessment you will produce written report detailing the planning and creation of three static visualisations derived from a data table. In this assessment, the quality of the presented visualisations is not assessed, only the

Read More »

Nursing Healthcare Case Study Assignment Help

ASSESSMENT ITEM 2: DESCRIPTION Shared decision-making is a model for clinical practice which includes patients’/clients’ values and preferences and supports them to make decisions about their own care and treatment options in collaboration with their healthcare team (Geddis-Regan et al., 2020). A patient’s/client’s culture affects the way they understand health

Read More »

BSBCRT311 Apply Critical Thinking Skills in a Team Environment

Table of Contents Table of Contents…………………………………………………………………………………………………………………. 3 About the Business Services Training Package…………………………………………………………………………………………………………………. 4 About this Unit of Competency……………………………………………………………………………………………………………… 6 Chapter 1: Prepare to Address Workplace Problem…………………………………………………………………………………………………………………. 7 ………………………………………………………………………………………………………………………………………… 8 Key Points: Chapter 1…………………………………………………………………………………………………………….. 30 Chapter 1 – ‘True’ or ‘False’ Quiz……………………………………………………………………………………………………………. 31 Chapter 2: Evaluate Solutions for Workplace Problem…………………………………………………………………………………………………………………

Read More »

BSBCRT311 Apply critical thinking skills in a team environment

WORKPLACE PROJECT TASK   Student details  Student name  Student email address  Assessment Details  About this task  This workplace project requires you to use critical thinking to resolve two typical problems in the workplace.   This assessment includes the following tasks:  Task 1: Workplace Problems  Task 2: Self-reflection  You will need 2 participants who

Read More »

BSBCRT512 Originate and Develop Concepts

Contents Section 1: Scoping a relevant issue. 5 Section 2: Generating and evaluating solutions. 8 Section 3: Concept finalisation. 11 Student name:   Assessor:   Date:   Business or Community/Social group this assessment is based on:   Documentation reviewed as preparation:   Job role assumed for this assessment:   Section

Read More »

EMS5RCE – Risk Engineering (2022)

Assignment 2 Due Date: 13th February 2023, 23:59PM 1        Outline You have been tasked to evaluate the risks associated with moving from a traditional construction method for constructing concrete formwork (such as precast), to an advanced method that will be designed to take advantage of additive and/or automated and digital

Read More »

NIT3171 ICT Business Analysis & Data Visualization

Individual Assignment – Business Analysis Case Study (Stage II – 35 marks weighing 35%) Report Submission Date (through the dropbox): (10% will be deducted for each day of delay) Presentation (5 minutes each) 10 Marks: In this assignment, a Melbourne housing dataset is given to you to apply data mining

Read More »

HSC ECONOMICS The Global Economy

HSC ECONOMICS  Assessment Notification: Task 1 Subject: Economics Topic The Global Economy Nature of Assessment Task Oral presentation with a written component Weighting 25% Teacher Ms R Ali Date of Notification Term :4 Week 5A  (2022) Due Date Term 1 (2022), Week 7A,Friday (written component) and Week 8B(Oral component)  

Read More »

Behaviour & Environment Case Study

Section 1: Overview of Issue of Human-Environment Relations & Proposed Intervention (Delete this and enter your text for this section here) Section 2: Identify all key stakeholders: (Delete this and enter your text for this section here) Section 3: Explain how the Intervention Strategy should be implemented (Delete this and

Read More »

Assignment BMSC Pharmacology Breakdown

  Section Word Limit Marks Research Time Writing Time Description Clarity N/A 5 10 mins 1 hr sentence structure; typographical errors; scientific style Reference N/A 5 20 mins 40 mins correct use of referencing style and in text citations; typically 5-10 references depending on the topic/experimental platform and drugs used

Read More »

Assessment Task 3: Portfolio Output 3

This task requires you to create a blog post and a 3-4 minute edited video that critically and creatively responds to one of the Digital Media Contexts from weeks 7-10 (this must be a different topic from what you chose for Portfolio Output 2). Your video is to be embedded

Read More »

Formulae Sheet

Formulae Sheet Current ratio Current assets Current liabilities     Quick ratio or acid test Cash + marketable securities + net receivables Current liabilities     Current cash debt coverage Net cash provided by operating activities Average current liabilities     Receivables turnover Net sales Average net trade receivables  

Read More »

Cashflow and Financial Analysis

Assessment Task: 20% Cashflow and Financial Analysis – Template IMPORTANT:  Preparing the cashflow statement and financial analysis template. The template is prepared to satisfy all the assignment business’s so there may be extra line items in the template. To submit the cash flow statement, you need to use the template

Read More »

Cashflow and Financial Analysis – Ship’em In&Out

Assessment Task: 20% Cashflow and Financial Analysis – Ship’em In&Out IMPORTANT:  Preparing the cashflow statement and Financial analysis To submit the cash flow statement, you need to use the template document in CANVAS. The template is prepared to satisfy all the assignment business’s so there may be extra line items

Read More »

Pros and Cons of Chat GPT Assignment Help

How great is Chat GPT Assignment Help? Chat GPT Assignment help is definitely an incredible possibility for students. It is a technological advancement that can generate essays and articles on a massive range of topics. Moreover, you can just ask any question, and you will get your answer right away.

Read More »

Question 10 – REPORTS

Complete the table below, by listing three types of financial reports that are produced in your workplace. Type of Report Content of Report Frequently of Report                  

Read More »

Question 9 – BUSINESS RECORDS

Work through the following table and indicate whether each record should be kept or destroyed. Detail the reason for your answer and how long the record should be kept (for example, legislation requirement – retain for five years). Record Keep – Yes or No Reasons Suppliers Invoices     Employee

Read More »

Question 6 – BUSINESS ACTIVITY STATEMENT

Using the following information, complete the Business Activity Statement, you may need to refer to the ATO website to help you complete. Download and complete the Business Activity Statement (BAS). It can be found separately on the course page.

Read More »

Question No 5 – BREAKEVEN ANALYSIS & MOVING

AVERAGE Activity 5.1 – Break-even Answers A. B.   Manage 8 Buildings Manage 10 Buildings Manage 15 Buildings Manage 20 Buildings Manage 25 Buildings Income           Less Variable Costs           Less Fixed Costs           Total Cost    

Read More »

Question 3 – Depreciation

You are the Licensee-In-Charge of Hope & Murphy Real Estate and wish to purchase computers for your new office in the CBD. Using the information below: Office fit out                      $120,000 Assets effective Life          4 years Purchase Date                  1st July STRAIGHT-LINE METHOD CALCULATION Years 1 to 4 – JOURNAL ENTRIES DEPRECIATION                                               

Read More »

Question 1 – PROFIT & LOSS AND BALANCE SHEET

Please note: Editing has been restricted in this document. From the information provided below, complete the following table: Account Name Classification Profit & Loss or Balance Sheet Amount Pay Superannuation Expense Profit & Loss $117,325 Pay Mobile Phone     $7,500 Pay Office Rent     $65,000 Land & Buildings

Read More »

Case Study – WORLDUCATION

Worlducation is a social startup that manufactures tablet computers for primary school students. They not only focus on the hardware, but they also have a competitive team creating software, content and activities to better engage and educate the students. Worlducation aims to change the way children learn at school by

Read More »

Can't Find Your Assignment?

Open chat
1
Free Assistance
Universal Assignment
Hello 👋
How can we help you?