Notes

%matplotlib inline

As we have learned in this class, % sign indicates a magic function. In this case matplotlib inline lets us draw and store graphs within our notebook.

Next we have "import pylab'". Importing pylab allows for some convenience. This is included for plotting purposes.

in the next line we are telling pylab to use the first available serif font, but you can change the font to your liking.

And here we are just sorting the dataframe by the spent column in a descending order and showing the first 3 records.

So in this line we ran into some trouble. The budget graph wasnt showing up. The issue was in the "Manipulating the data frame" part. We figured out that in better_columns part, budget and campaign names were swapped around. It was suppose to be campaign name, budget,spent, clicks and impressions etc. but instead it was budget ,clicks impressions and cmp name and spent. Once we swapped them around, budget graph started showing up.

Budget graph shows a fairly even distribution


It’s bc I changed the heading positions in part 3, so they line up correctly.

For impressions, it still does. If you look at the df.describe chart, there’s a negative minimum, so that’s probably why. We’d need to filter out the negatives, which we didn’t do. Spent is in positive however, despite being in negatives before

more you spend more clicks you get.