Ecommerce Purchases Data Analysis Exercises (Pandas Practice)
Ecommerce Purchases Data Analysis Exercises (Pandas Practice) Are you learning Python Pandas for Data Analysis ? This hands-on exercise will help you practice real-world data analysis using an Ecommerce Purchases dataset . Follow the questions step-by-step and try solving them using Pandas . Dataset Setup First, import Pandas and load the dataset: import pandas as pd ecom = pd.read_csv('Ecommerce Purchases') You can download the dataset from any dataset websites like kaggle and UCI or comment us and we will share you the data Basic Data Exploration 1. Check the first few rows of the dataset Use .head() to view the dataset. 2. How many rows and columns are there? Use .info() to get dataset structure. Purchase Price Analysis 3. What is the average Purchase Price? 4. What are the highest and lowest purchase prices? User Insights 5. How many people have English ( 'en' ) as their language? 6. How many people have the job title "Lawyer" ? Time-Based Analysis 7...