How does customer age and gender influence their purchasing behavior?

You are provided with the following dataset:

https://drive.google.com/file/d/1CoZC_sWQFoQSnPAEP…

Here are some potential questions to think of:

1. How does customer age and gender influence their purchasing behavior?

2.Are there discernible patterns in sales across different time periods?

3. What are the relationships between age, spending, and product preferences?

4. How do customers adapt their shopping habits during seasonal trends?

5. Are there distinct purchasing behaviors based on the number of items bought per transaction?

6. What insights can be gleaned from the distribution of product prices within each category?

Your task is to get as much insight from the data as you can using Python and data analysis. You may use whatever method you want and there is no maximum or minimum number of the questions above you should answer. We encourage you to think of your own questions you may want to get answered from the data set and analyze / present it in your response.

Your final submission should be a mix of written explanations, statistics, as well as your code using ipynb file.

Requirements:

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