In the context of the Data Analytics Life Cycle, why is the "Data Preparation" phase often considered the most critical? Video Title Bangladeshi Actress Prova With Raj Hot 📥
You have a DataFrame named df containing a column named Age . Write a Python code snippet to remove all rows where the Age is less than 18. Bang Bang Bandits Switch Xci Free Download Link - 3.79.94.248
import pandas as pd import matplotlib.pyplot as plt
# 3. Data Cleaning # Fill missing values in the 'price' column with the average price df['price'] = df['price'].fillna(df['price'].mean())
# 2. Inspecting Data print(df.head()) # Shows the first 5 rows print(df.describe()) # Shows statistical summary (mean, max, min)
# 4. Analysis # Group data by 'region' and sum the 'sales' region_sales = df.groupby('region')['sales'].sum()