In Project Part 2, you will required to apply appropriate data management, data visualization and data analytic techniques for a given scenario. The techniques for Project Part 2 will be for covered in Module 1 – Module 10 of the subject. You will have to explain what conclusions you draw after completing the different data analytics.

Scenario 1

The California Cooperative Oceanic Fisheries Investigations (CalCOFI) was formed in 1949 to study the ecological aspects of the sardine population collapse off California. CalCOFI conducts quarterly cruises off southern & central California, collecting a suite of hydrographic and biological data on station and underway. The CalCOFI data set represents the longest (1949-present) and most complete (more than 50,000 sampling stations) time series of oceanographic in the world.

The physical, chemical, and biological data collected at regular time and space intervals quickly became valuable for documenting climatic cycles in the California Current and a range of biological responses to them. Data collected at depths down to 500 m include: temperature, salinity, oxygen, phosphate, silicate, nitrate and nitrite, chlorophyll, transmissometer, PAR and C14 primary productivity.

You are provided with the following:-

1. bottle.csv

2. CalCOFI Database Tables Description - Bottle Table

Using the dataset and codebook provided, select

1. a categorical variable and quantitative variable from the dataset to perform ANOVA analysis. (if you want, convert one quantitative variable into a categorical variable and then perform ANOVA analysis). What is conclusion can you draw from the ANOVA analysis?

Hint: Refer to Module 5 and Practical 5 for help

2. 2 categorical variables from the dataset to perform Chi-Squared Test. (if you want, convert one or more quantitative variable into categorical variables and then perform Chi-Squared Test). What is conclusion can you draw from the Chi-Squared Test?

Hint: Refer to Module 6 and Practical 6 for help

3. 3 or more variables from the dataset to perform multiple regression. What is conclusion can you draw from the regression analysis?

Hint: Refer to Modules 7-8 and Practicals 7-8 for help

Scenario 2

You are provided with the Iowa Lottery Weekly Sales by Game Type Dataset. Select one game type and perform time series analysis (ARIMA). What conclusion can you draw from the ARIM analysis?

Hint: Refer to Module 10 and Practicals 10 for help

Ensure you complete, zip and submit all the files below to LearnJCU. Ensure you add your FirstName and LastName inside the files and to the file names.

‘CP2403 - Project – Part 2 – ANOVA - FirstNameLastName.docx’

‘Project-Part2-ANOVA- FirstNameLastName.ipynb’

‘CP2403 - Project – Part 2 – Chi_Squared - FirstNameLastName.docx’

‘Project-Part2- Chi_Squared- FirstNameLastName.ipynb’

‘CP2403 - Project – Part 2 – Regression - FirstNameLastName.docx’

‘Project-Part2-Regression- FirstNameLastName.ipynb’

‘CP2403 - Project – Part 2 – TS - FirstNameLastName.docx’

‘Project-Part2-TS- FirstNameLastName.ipynb’