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BUS105: Business Information Systems - Data Management Project - Business Assessment Answer
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Subject Code: BUS105
Internal Code: E_AI_DGFI_IA
Data storage: We are not entirely sure how the data was generated, perhaps a government worker obtained the names recorded on birth certificates. The data collected by the government was separated into files according to year and gender and stored. The file type was *.csv.
Task 2:
Imagine we had this data for multiple states over many years. Write a paragraph on storage options for a large group of files such as these.
Visualisation: The Wordcloud below is one way to visualise the data so that it is clear which names are the most popular.
Task 3:
Select a sample of names from the first (1945) and last year (2005). Create two visualisations (e.g. a table, or a chart) showing how the most popular names have change. Explain your main findings in a paragraph.
Data Analysis: Some names, for example David, have been used in every decade, however their popularity has changed. We constructed the table below, which shows the number of male babies in South Australia called David in years 1945, 1955, ....., 2005, 2015, and the ranking of that name during that year.
Task 4:
1. Select 4 boys names and 4 girls names. Perform a basic analysis of how those names have changed in popularity over the years provided in the data set. Illustrate your results using tables and charts and explain the outcomes.
2. Suggest two other analyses you could perform.
Task 5:
Write three recommendations (actions) for your boss with regard to buying more stock, i.e. if she was buying t-shirts, what names should go on them? Provide her with advice for future years.
Task 6:
Suggest three other sources of customer data that your boss may require for future analysis.
Business Assessment Answer
TASK: Task 1: Using the information in the video and business problem summary • summarise each stage of the data cycle in a sentence or two. • Introduce the business problem in your own words. With the information in the data lifecycle video fresh in your mind and other material from week 4, work through the steps of this assignment. Data collection: We have downloaded data on the most popular female and male names in South Australia between 1944 and 2015 from a government website (source above). Data from a single year in each decade, i.e. 1945, 1955, ....., 2005, 2015 for males and females has been extracted and provided for you in an excel file called Names.xlsx.
Data storage: We are not entirely sure how the data was generated, perhaps a government worker obtained the names recorded on birth certificates. The data collected by the government was separated into files according to year and gender and stored. The file type was *.csv.
Task 2:
Imagine we had this data for multiple states over many years. Write a paragraph on storage options for a large group of files such as these.
Visualisation: The Wordcloud below is one way to visualise the data so that it is clear which names are the most popular.
Task 3:
Select a sample of names from the first (1945) and last year (2005). Create two visualisations (e.g. a table, or a chart) showing how the most popular names have change. Explain your main findings in a paragraph.
Data Analysis: Some names, for example David, have been used in every decade, however their popularity has changed. We constructed the table below, which shows the number of male babies in South Australia called David in years 1945, 1955, ....., 2005, 2015, and the ranking of that name during that year.
Task 4:
1. Select 4 boys names and 4 girls names. Perform a basic analysis of how those names have changed in popularity over the years provided in the data set. Illustrate your results using tables and charts and explain the outcomes.
2. Suggest two other analyses you could perform.
Task 5:
Write three recommendations (actions) for your boss with regard to buying more stock, i.e. if she was buying t-shirts, what names should go on them? Provide her with advice for future years.
Task 6:
Suggest three other sources of customer data that your boss may require for future analysis.
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