COMP6200 - Using The Crisp-Dm Model And Stage Of The Data Science Project Life Cycle - IT/Computer Science Assignment Help

Assignment Task -

INSTRUCTIONS: 

Answer ALL questions in a single word processor file and upload your answers to the provided Turnitin submission page by the due time. You can upload a Word or PDF file. 

Collaboration with others in completing this exam is not allowed. The work you submit should be your own. Any evidence of copying or collusion will be referred to the Faculty Discipline Committee. Note that your submissions will be passed through Turnitin to identify copying from the Internet or from other students.

1.You are working as a Data Scientist in a big retail store, say Woolworths, and your task is to optimise various retail processes such as inventory management, product placement, and customised offers. Using the CRISP-DM model, can you explain what you will do in each stage of the data science project life cycle, what your input will be, and what you will deliver at each stage? (Write no more than 500 words in total) 

2. The following graph 1shows the relationship between the US spending on science and the number of suicides (by hanging, strangulation, and suffocation). Based on this graph, answer the following questions

(a) What does the correlation mean in this context? What does the R2 value mean? (Write no more than 200 words in total) 

(b) One of your friends Mr. Citizen thinks that this correlation is because of the increasing pressure on researchers to continuously produce output. How would you evaluate this explana tion? Looking at the numbers in the data displayed, can you determine whether this explanation could account for the effect shown? (Write no more than 200 words in total) 

3. (a) For the following data scenarios, which chart should you use to visualise? Justify your answers. (Write no more than 200 words in total) 

    (b) Bureau of Meteorology data having average monthly rainfall in Sydney from 2016 to 2020. (2) Hospital data having systolic pressure and weight of 2000 patients. 

   (c) Australian Bureau of Statistics data having yearly household expenses (grocery, transport, education, rent/mortgage, and entertainment) for Australian population 

(4) Australian Bureau of Statistics providing Census data showing population density for each suburb across New South Wales. 

(5) Bureau of Meteorology weather data having multiple weather conditions in Sydney with features including date, precipitation, max temperature, min temperature, wind speed, and weather (drizzle, rain, sunny, snow, and fog). 

(b) You are working on a project that analyses the census data provided by Australian Bureau of Statistics. Table 1 shows a sample dataset. What data cleaning and normalisation

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