Python Programming
in a Quarto Document

Salary Distribution of Interior Designers
in the United States

CODE

#import libraries

#pandas is useful for data manipulation and analysis tasks
import pandas as pd

#matplotlib is used for data visualization
import matplotlib.pyplot as plt

#data source: https://datausa.io/profile/soc/interior-designers
#use pandas to read the data from the comma-separated values (.csv) file
#store the data in a dataframe and print it
df = pd.read_csv(r'data\salary_distribution_interior_design_USA.csv')

#define the x and y elements
salary = list(df.iloc[:, 0])
percentage = list(df.iloc[:, 1])
  
# Plot the data using bar() method
plt.figure().set_figwidth(8)
plt.bar(salary, percentage, color='#d9b99b')
plt.title("Wage Distribution of Interior Designers in the United States")
plt.xlabel("Average Salary", fontsize=12)
plt.ylabel("Share (%)", fontsize=12)
plt.xticks(fontsize=10, rotation=45,ha="right", rotation_mode="anchor")
plt.box(False)

# Show the plot
plt.show()

A bar chart made with Python