Plotting chicken locations

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

Este ejercicio forma parte del curso

Visualizing Geospatial Data in Python

Instrucciones del ejercicio

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().

Ejercicio interactivo práctico

Prueba este ejercicio completando el código de muestra.

# 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()

Editar y ejecutar código