# Create a histogram of the finish time for all runners. Make sure to do the following: # Set your own figure size for better aesthetics. # Set the horizontal axis to the marathon time in hours. # Set the bin width to 10 minutes, and the first bin starts from exact 2 hours. # Set the last bin to make sure the slowest runner is covered. # # Add axis Labels and make other changes (e.g., edge color of the bins) to #improve the graph readibility and aesthetics. import matplotlib.pyplot as plt import numpy as np plt.hist (marathon["final time (s)"], bins=20) plt.figure(figsize=(14,5)) plt.xlabel('Marathon Time (hours)') bins= np.arange (start=120,stop=600, step=20) #plt.hist( "final time (s)", bins-range (2*60, max("final time (s)"), 10), edgecolor plt.show() = 'black')

# Create a histogram of the finish time for all runners. Make sure to do the following: # Set your own figure size for better aesthetics. # Set the horizontal axis to the marathon time in hours. # Set the bin width to 10 minutes, and the first bin starts from exact 2 hours. # Set the last bin to make sure the slowest runner is covered. # # Add axis Labels and make other changes (e.g., edge color of the bins) to #improve the graph readibility and aesthetics. import matplotlib.pyplot as plt import numpy as np plt.hist (marathon["final time (s)"], bins=20) plt.figure(figsize=(14,5)) plt.xlabel('Marathon Time (hours)') bins= np.arange (start=120,stop=600, step=20) #plt.hist( "final time (s)", bins-range (2*60, max("final time (s)"), 10), edgecolor plt.show() = 'black')

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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