Interpolate debt/GDP and compare to unemployment

Since you have learned how to interpolate time series, you can now apply this new skill to the quarterly debt/GDP series, and compare the result to the monthly unemployment rate.

Questo esercizio fa parte del corso

Manipulating Time Series Data in Python

Visualizza il corso

Istruzioni dell'esercizio

We have imported pandas as pd and matplotlib.pyplot as plt for you.

Use pd.read_csv() to import 'debt_unemployment.csv', creating a DateTimeIndex from the 'date' column using parse_dates and index_col, and assign the result to data. print() the .info() of the data.
Apply .interpolate() to data and assign this to interpolated, then inspect the result.
Plot interpolated with 'Unemployment' on the secondary_y axis.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Import & inspect data here
data = ____
print(____)

# Interpolate and inspect here
interpolated = ____
print(____)

# Plot interpolated data here

Modifica ed esegui il codice