<jupyter_start><jupyter_text>Plot US Stamp Prices Over Time<jupyter_code># import libraries that we need.
import pandas as pd
import matplotlib.pyplot as plt<jupyter_output><empty_output><jupyter_text>This dataset is from https://vincentarelbundock.github.io/Rdatasets/datasets.html<jupyter_code># pd.read._csv will turn a csv file into a pandas dataframe
stamp_prices = pd.read_csv('https://vincentarelbundock.github.io/Rdatasets/csv/Stat2Data/USstamps.csv')

# type will return the type of an object
type(stamp_prices)
#head will return the column names and the first few rows from the dataframe
stamp_prices.head()
# plot the year Vs. the price

# First set the plot title
plt.title('Stamp Price Over Time in the US')

# Set the columns to plot
plt.scatter(stamp_prices['Year'], stamp_prices['Price'])<jupyter_output><empty_output>
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