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20 lines
1.1 KiB
20 lines
1.1 KiB
2 years ago
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# Exercice 3: E-commerce purchases<w>
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The goal of this exercise is to learn to manipulate real data with Pandas. This exercise is less guided since the exercise 2 should have given you a nice introduction.
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The data set used is **E-commerce purchases**.
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Questions:
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1. How many rows and columns are there?
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2. What is the average Purchase Price?
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3. What were the highest and lowest purchase prices?
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4. How many people have English `'en'` as their Language of choice on the website?
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5. How many people have the job title of `"Lawyer"` ?
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6. How many people made the purchase during the `AM` and how many people made the purchase during `PM` ?
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7. What are the 5 most common Job Titles?
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8. Someone made a purchase that came from Lot: `"90 WT"` , what was the Purchase Price for this transaction?
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9. What is the email of the person with the following Credit Card Number: `4926535242672853`
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10. How many people have American Express as their Credit Card Provider and made a purchase above `$95` ?
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11. How many people have a credit card that expires in `2025`?
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12. What are the top 5 most popular email providers/hosts (e.g. gmail.com, yahoo.com, etc...)
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