From the course: Python for Marketing (2019)
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Plotting Facebook and Google Ads data - Python Tutorial
From the course: Python for Marketing (2019)
Plotting Facebook and Google Ads data
- In this video we're going to import some ad data. So we going to import data from google adverts, and Facebook ads. In order to import this data we first need to call the data frame, that we're going to use. So we're going to use PPC data. The column that we want in this case is cost. Again we're only going to select 10 rows, because its such a big data set, importing anymore won't be very useful to us, for this example. Then we going to do plot plot, and in this case we going to pass the argument kind as line so its going to get us a line plot. And I'm going to pass the figsize, so we can get a custom size of charts as 15 and 5, so its 15 long and 5 high. There we go. So 0 to 8 with 9 being up here. And that's the cost there, so very simple visualization. Useful for exporting data analysis, and we are going to do something similar on the Facebook ads just to check out what the Facebook ad data looks like we're…
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Contents
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Introduction to pandas1m 7s
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(Locked)
Installing Jupyter1m 30s
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(Locked)
Importing Google Analytics data4m 48s
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(Locked)
Importing Google Search Console data1m
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Importing Facebook and AdWords data2m 29s
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Accessing the Google Trends API2m 14s
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Visualizing Google data2m 40s
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(Locked)
Plotting Facebook and Google Ads data3m 18s
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(Locked)
Visualizing Google Trends data1m 38s
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