Hey guys, welcome back. In this video we will review the exercise one of section two. Exercise one is a data manipulation problem. We are asked to load the data sets from the data folder, the international airline passengers folder. This is a data set that contains the number of passengers within a certain span of years for the airline industry. And you're required to inspect the data set once you've loaded it in Pandas with the info and heads command. And then you'll have to use the pd.to_datetime function, it's a Pandas function to change the column containing the month to a datetime type. 

What this means, it means that as it's written in the dataset the column month is a string. And the pd.to_datetime function converts the strings in that column on to objects that Pandas understands as datetimes. After we've done that we can use the datetime column to index the dataframe so we can set the index to be that column using the said index method. And then plot the data with the appropriate plot. I'm not going to tell you which is the most appropriate plot for this data. You have to decide between, amongst the plot that we've seen. Remember to choose the appropriate scale and to level the axis. So this is exercise one, go ahead and do it. And when you're done, feel free to check the solution. Good luck!