Each student is to prepare a written analysis using Python. The student will use the datasets to perform their analysis, import the data into Python and use the tool to explore that data and find interesting trends or correlations.
The student should focus their written analysis on 2 major components - describing, in detail, the process they took to explore the data in the tool they selected, and the analysis of the interesting trends or correlations found in that data. Save the code you used to explore the data and to create visualizations as you will need to reference the code throughout your written analysis and paste that code into the exhibits section.
Where appropriate, include external research to help support findings of your analysis.
Available datasets:
Student Alcohol Consumption - Follow link for description of data and column names
https://www.kaggle.com/datasets/uciml/student-alcohol-consumption
Assignment Criteria:
Structure: 1 Cover Page, 5-7 pages of written analysis, 3-5 pages of visualization exhibits, 3-5 pages of code exhibits (not double-spaced), 1 or more pages of citations
Other Criteria
APA 7th edition required. Double-Spaced. Reference visualization exhibits appropriately within written analysis. Code used should be neatly labeled and referenced within the written analysis.