Exploration

In this exercise you will kick off your journey to become an ARIMA master by loading and plotting a time series. You probably do this all the time, but this is just a refresher.

You will be exploring a dataset of monthly US candy production between 1972 and 2018.

Specifically, you are plotting the industrial production index IPG3113N. This is total amount of sugar and confectionery products produced in the USA per month, as a percentage of the January 2012 production. So 120 would be 120% of the January 2012 industrial production.

Check out how this quantity has changed over time and how it changes throughout the year.

Import matplotlib.pyplot giving it the alias plt and import pandas giving it the alias pd.
Load in the candy production time series 'candy_production.csv' using pandas, set the index to the'date'column, parse the dates and assign it to the variable candy.
Plot the time series onto the axis ax using the DataFrame's .plot() method. Then show the plot.

Exercise

Exploration

Instructions