Assessment 3 Information Subject Code: BUS105 Subject Name: Business Information systems Assessment Title: Data Management Project: Exploring Popular names Weighting: 30% Total Marks: 30 Submission...

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Assessment 3 Information Subject Code: BUS105 Subject Name: Business Information systems Assessment Title: Data Management Project: Exploring Popular names Weighting: 30% Total Marks: 30 Submission mode: Turnitin Word Count: 1000 words Due Dates: Final report submitted via Turnitin on Monday of week 9, 15:55pm AEST. Software Required: Microsoft office, i.e. the assignment is to be completed in Word and converted to a PDF file (see assignment submission section for more details). The report should be written in 12-point font with 1.5 line spacing. Business Scenario: You are employed in a popular South Australian gift shop which purchases individualised goods, such as mugs, hats, t-shirts with names written on them. Your boss wants you to investigate trends in popular names, so that she can buy more stock without the worry of that stock not selling. Project Data: Most popular names in South Australia between 1944 -2015 Source: https://data.sa.gov.au/data/dataset/popular-baby-names Your Instructions: Recall the video we watched in week 4, watch in again by clicking here. https://www.youtube.com/watch?v=5I2bYqeFQy4 AssessmentInformation COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 This material has been reproduced and communicated to you by or on behalf of Kaplan Business School pursuant to Part VB of the Copyright Act 1968 (‘Act’). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by you may be the subject of copyright protection under the Act. Kaplan Business School is a part of Kaplan Inc., a leading global provider of educational services. Kaplan Business School Pty Ltd ABN 86 098 181 947 is a registered higher education provider CRICOS Provider Code 02426B. Task 1: (200 words, 6 marks) 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. The first ten rows of male names for 1985 is shown below. Column 1 (Given name): consists of first names for boys Column 2 (Amount): is the frequency of babies in South Australia given the name shown in column one. Column 3 (Position) is the rank relative to other names, i.e. how popular the name was relative to the others. The name ‘Jack’ was ranked no. 1 and therefore the most popular in 1985. Data storage: We are not entirely sure how the data was generated, perhaps a government worker obtained the names recorded on birth cert AssessmentInformation COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 This material has been reproduced and communicated to you by or on behalf of Kaplan Business School pursuant to Part VB of the Copyright Act 1968 (‘Act’). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by you may be the subject of copyright protection under the Act. Kaplan Business School is a part of Kaplan Inc., a leading global provider of educational services. Kaplan Business School Pty Ltd ABN 86 098 181 947 is a registered higher education provider CRICOS Provider Code 02426B. Visualisation: The Wordcloud below is one way to visualise the data so that it is clear which names are the most popular. Task 3: (100 words, two visuals, 5 marks) 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. You can see that the name ‘David’ peaked in popularity during the 1960s (positioned at no. 1 in 1965 with 631 occurrences) and lost a lot of popularity by the 1990’s and 2000’s (positioned 24th , 92nd and 112th). Name: David Year Amount (frequency) Position (Rank) 1945 269 4 1955 455 2 1965 631 1 1975 304 4 1985 249 6 1995 88 24 2005 21 92 2015 17 112 Task 4: (250 words, 8 + 2 = 10 marks) 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. AssessmentInformation COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 This material has been reproduced and communicated to you by or on behalf of Kaplan Business School pursuant to Part VB of the Copyright Act 1968 (‘Act’). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by you may be the subject of copyright protection under the Act. Kaplan Business School is a part of Kaplan Inc., a leading global provider of educational services. Kaplan Business School Pty Ltd ABN 86 098 181 947 is a registered higher education provider CRICOS Provider Code 02426B. Action: Results should be actionable not just presented. Recommendation should be put forward and implemented as far as possible. Task 5: (200 words, 5 marks) 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. Generation: What other data might we need? E.g. data on whether man are more likely to buy t-shirts than mugs? customers buy product not just looking. Task 6: (150 words, 5 marks) Suggest three other sources of customer data that your boss may require for future analysis.
Answered Same DayMay 17, 2021BUS105University of the Sunshine Coast

Answer To: Assessment 3 Information Subject Code: BUS105 Subject Name: Business Information systems Assessment...

Pooja answered on May 20 2021
156 Votes
Table of Contents
Task 1    2
Task 2    3
Task 3    3
Task 4    4
(1)    4
Girls    4
Boys    5
(2)    5
Task 5    6
Task 6    6
References    7
Task 1
a)
Data generation - Information about any scenario is known as data ge
neration.
Data collection - The data is collected by the primary method in the form of a questionnaire, survey, or an interview. 
Data storage - The data can be stored in the form of a soft copy or a hard copy. The data can be stored in a Google Drive, on the hard drive, also on a piece of paper.
Data visualization - On the basis of the level of measurement, an appropriate chart or graph is used to summarise the data. This visualization gives us a better picture or understanding of the data. A table of frequency distribution of descriptive statistics can also be used for data visualization. Huck, S. W., Cormier, W. H., & Bounds, W. G. (1974).
Data analysis - The data is further analysed using the techniques of hypothesis testing, regression analysis. An appropriate statistical technique is used to analyse the data according to the area of interest. Wilcox, R. R. (1996). 
Action - These are the inferences made on the basis of data analysis. Recommendations and further research are implemented on the basis of these inferences. 
b) 
It is required to analyse the trend in popular names for a South Australia gift shop. This gift shop purchases individualized goods like mugs, hats, t-shirts which has these names written on them.
Task 2
The data for multiple States over multiple years can be stored in the Google Excel drive.  A separate sheet can be made for every year to store the given name, amount and the position.
It would be important to merge these files on a yearly basis. Merging would help us create a variable year. This variable can be filtered for the analysis of any specific year for a specified time span. This would be helpful for further Analysis of data and compatible storage options.
Task 3
The line chart for the top 10 given name corresponding to their amount in the year of 2015 for males...
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