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  1. #1
    Join Date
    Jun 2022
    Location
    Urbana, Illinios
    Posts
    14

    HTML Form Validation: Ensuring Data Accuracy

    I'm working on a data science project where I have a dataset of customer transactions and I need to analyze customer purchase patterns using Python. The dataset includes the following columns: customer_id, transaction_date, product_id, quantity, and price.

    Here's a simplified version of the data:
    Code:
    import pandas as pd
    
    data = {
        'customer_id': [101, 102, 101, 103, 102, 104],
        'transaction_date': ['2023-01-15', '2023-02-10', '2023-02-25', '2023-03-05', '2023-03-12', '2023-03-20'],
        'product_id': [1, 2, 1, 3, 2, 1],
        'quantity': [2, 1, 3, 2, 1, 4],
        'price': [20.0, 30.0, 25.0, 40.0, 30.0, 15.0]
    }
    
    df = pd.DataFrame(data)
    I want to perform the following analyses using Python:

    1. Total Sales: Calculate the total sales revenue for each customer.
    2. Purchase Frequency: Determine how often each customer makes a purchase.
    3. Most Popular Products: Identify the top 3 most purchased products.
    4. Customer Retention: Analyze customer retention by calculating the percentage of customers who make repeat purchases within 30 days.



    Could you provide Python code examples and explanations for each of these analyses using the provided dataset? Thank you for your assistance in analyzing these customer purchase patterns!

  2. #2
    Join Date
    Nov 2018
    Posts
    114

    Re: HTML Form Validation: Ensuring Data Accuracy

    Where is your attempt at implementing a solution?

    What does this have to do with "HTML Form Validation: Ensuring Data Accuracy"?

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