Working with Google Analytics Data Using Python and Jupyter Notebooks

Python is a programming language with virtually limitless functionalities and one of the best languages for working with data. Jupyter Notebooks, on the other hand, is the most popular tool for running and sharing both your Python code and data analysis.

Putting Python and Notebooks together with Google Analytics, the most popular and a really powerful tool for tracking websites, gives you almost like a superpower for doing your analysis.

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Data You Should Be Tracking Using Google Analytics Custom Events

Out of the box, Google Analytics already tracks a bunch of really useful data points. What the default setup lacks, though, is context and events that are specific to your website and business.

Custom Events provide a perfect solution for adding context and tracking more specific user actions. In this article, we are giving you a good amount of ideas for custom events you should implement on your own and/or your clients’ websites.

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Using Google Analytics for Tracking SaaS

While it was originally built for tracking general marketing and ecommerce websites, Google Analytics can be configured to track your SaaS app as well. After building tracking setups for 11 different SaaS tools, I can say that Google Analytics excels in tracking SaaS. In this article, I’m giving you a bunch of practical guidelines for doing the same with your own (or your client’s) SaaS app.

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How to Detect and Track Incognito Users with Google Analytics and Google Tag Manager

Depending on the type of website you are working with, it is likely that some percentage of your users are using their browser in incognito or private mode.

Since using incognito mode can skew the numbers you see in analytics, it is really good to know the estimated percentage of visitors that prefer to stay incognito.

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Ideas for Google Analytics Custom Dimensions and Metrics

Depending on whether you are using the free or 360 version of Google Analytics you get 20 or 200 custom dimensions and metrics to work with.

When used correctly, these custom definitions can be one of the most useful custom features in Google Analytics. They allow you to tailor your analytics to meet your needs and to match your KPI-s.

One of the most common problems related to custom definitions has been that people don’t know what exactly are the dimensions and metrics they should be tracking.

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Top Javascript Charting Libraries

There is a wide variety of Javascript data visualization (charting) libraries available for free. One problem this (good) situation has caused is that it can be rather difficult to pick the right one for your project. And, trust me, switching the library after it has grown to be part of your project is a real pain in the butt.

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