Instructions
Objective
To ace your Python assignment, you need to write a program that implements a box plot in Python. Box plots are an essential tool for visualizing the distribution and summary statistics of a dataset. By accurately coding the box plot implementation, you'll demonstrate your proficiency in Python programming and your ability to create informative data visualizations. This assignment not only tests your technical skills but also your understanding of data visualization concepts. Make sure to follow best practices in coding, utilize relevant Python libraries like Matplotlib or Seaborn, and showcase your ability to present data effectively.
Requirements and Specifications
Source Code
import pandas as pd
import matplotlib.pyplot as plt
apt = pd.read_csv("https://raw.githubusercontent.com/noghte/datasets/main/apartments.csv")
apt.head()
apt.shape
apt.info()
price_list = apt["resale_price"][0:100]
price_list
price_list.describe()
fig = plt.figure(figsize =(10, 7))
plt.boxplot(price_list)
plt.show()
### the box plot indicates that the ranges of the resale price from 232000 to 832000 and have mean of 368492.76