number1e.py

import pandas as pd
import matplotlib.pyplot as plt

# Step 1: Load the dataset
trips_data = pd.read_csv("Trips_Full_Data.csv")

# Step 2: Extract columns related to distance-trips
distance_columns = ['Trips <1 Mile', 'Trips 1-25 Miles', 'Trips 25-50 Miles', 'Trips 50-100 Miles',
                    'Trips 100-250 Miles', 'Trips 250-500 Miles', 'Trips 500+ Miles']

# Step 3: Sum up the number of travelers for each distance category
total_travelers_by_distance = trips_data[distance_columns].sum()

# Step 4: Plot the summed values
plt.figure(figsize=(10, 6))
total_travelers_by_distance.plot(kind='bar', color='skyblue')
plt.title('Total Number of Travelers by Distance-Trips')
plt.xlabel('Distance Trips')
plt.ylabel('Total Number of Travelers')
plt.xticks(rotation=45)
plt.grid(axis='y', linestyle='--', alpha=0.7)
plt.tight_layout()
plt.show()