Plotting chicken locations

Now you will create a scatterplot that shows where the Nashville chickens are!

This exercise is part of the course

Visualizing Geospatial Data in Python

Exercise instructions

The path to the chicken dataset is in the variable chickens_path. Use the read_csv function of pandas to load it into a DataFrame called chickens.
Use the .head() function to look at the first few rows.
Next add the x and y arguments to plt.scatter() to plot the locations of the Nashville chickens. Use the default marker and color options.
Show the plot using plt.show().

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import pandas and matplotlib.pyplot using their customary aliases
import pandas as pd
import matplotlib.pyplot as plt

# Load the dataset
chickens = pd.____(chickens_path)

# Look at the first few rows of the chickens DataFrame
print(chickens.____())

# Plot the locations of all Nashville chicken permits
plt.scatter(x = chickens.____, y = chickens.____)

# Show the plot
plt.show()

Edit and Run Code