Data Analysis on Product Management with Data and Ethical Considerations

Assignment Task

Task 1 

1. What is the question you are aiming to answer in your blog post? (Let the markers know so they can grade the next two questions.)

2.  What data are you will be using to answer that question? Be sure to include in your submission a comprehensive data description. Here is a non-exhaustive list that might help you: read me, meta data, licence, data type (census, survey, etc.), date last updated, data limitations, data privacy or other ethical considerations. The relevant details here will depend on the data you choose and the analysis you perform. Depending on your topic, some of this data description may be best shared in stand alone read me or meta data file. (Please note you must demonstrate a core subset of the important skills of this unit to be awarded full marks.)

3. Describe your data download process?

Task 2

Write a blog-post on your chosen topic.

Give your blog post a title. Write a captivating opening paragraph that explains the question you are answering / what you are aiming to do / what you are aiming to show with your data.

In your writing, we recommend thinking of your fellow students in ETC5512 as your audience. Also remember your markers! They do not want to read novels. The time it takes to read your blog post should be roughly 3 - 5 minute. This means you will only include the most important and relevant parts about your data and your analysis in the blog post. Other details can be shared in Parts 1 and 3 where relevant.

Also make sure to share why the blog post your wrote is interesting to you.

You will be graded on:

• The accuracy of your data analysis
• Use of data to support your conclusions (e.g numbers, visuals, tables)
• The depth of your analysis
• Originality of your work
• Demonstration of skills learnt in the unit
• Appropriate data selection
• Organisation, structure, length and grammar
• Clarity and conciseness

Task 3

As we have discussed, much of what goes into an analysis happens behind the scenes.

• Tell us about a part(s) of your data processing or analysis that weren’t “sexy” and wouldn’t typically be included in a blog post. (e.g. Was their any data drudgery or time intensive wrangling? Were there any repetitive tasks or manual tasks? If it was easy, describe what made it easy?)
•  Were there any challenges that you faced in conducting this analysis. These may take the form of data limitations or coding challenges? (e.g. Was there anything in your analysis that you were not anticipating when you started? Did you have to change your intended scope?)
• Tell us about any imperfect parts of your work or how would like to expand this analysis in future? (We don’t expect you to solve everything in one assignment.)
• An additional will be awarded for the code you used to produce your analysis and report. These marks include reproducibility, compiling of your .html, production of any figures and tables etc.

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