Data, Data Science, Data Analysis, Python, Analytics.
plt.figure(figsize=(10, 6)) sns.histplot(data[data['price'] <= 1000], x='price', bins="doane", kde=False, color='blue') plt.title('Distribution of Rental Prices') plt.xlabel('Price') plt.ylabel('Frequency') plt.show() Distribution of Rental Prices From the histograms, we can see that the majority