The overall goal for this assignment is to develop a Python program to analyse the chosen dataset, data analysis report. For each dataset, you need to define 10+ analysis tasks (at least 10 tasks). These may include basic statistical analysis, exploratory data analysis, descriptive and predictive analysis, and visualisation of the analysis results. At least one of the analysis tasks shall be a regression, classification, or clustering problem. Considering the time constraint and available computational resources, please carefully define appropriate tasks based on your dataset. Item Sales Data Set: https://www.kaggle.com/datasets/gaurang0405/item-sales Example tasks: statistics on customer type, city, product category relationship between product sub-category and quantity relationship between sales and profit Explains the purpose of this report. Include the data, the goal of the data analysis from the business analytics point of view, and the different analysis tasks performed. Based on the requirements of your dataset, put the results of your analysis here. Describe what has been done, why you did it, and the outcome of the analysis in quantitative values, tables, or graphs. Explain the outcome and the conclusion that can be drawn from the analysis. Method Describe the data analytics methods adopted in this project