Introduction As you know, we’ve had to say goodbye to our Universal Analytics (UA) starting from the first of July 2023 and migrate to the new Google Analytics 4. While it promises a plethora of advanced features, it's no secret that GA4 can be a steep learning curve, even for seasoned marketing professionals. Indeed, GA4 has…
read moreIntroduction In today's data-driven world, marketing analytics plays a critical role in understanding consumer behavior and driving predictive marketing strategies. One of the key challenges marketers face is effectively segmenting their target audience by managing a lot of different features in the same model. In this blog post we will see how the scaling process…
read moreThis blog post covers: Generating pivot tables from a CSV file Renaming columns in pivot tables Visualizing pivot tables with Matplotlib Introduction In this blog post, we'll explore how to build and manipulate marketing pivot tables using pandas in Python and discover how to incorporate plotting libraries for diverse visualizations. As a data…
read moreAre you a Growth Marketer seeking a practical guide on data manipulation using pandas? This blog post will walk you through the process of data preparation and cleaning a sales marketing CSV file in pandas. As a marketer, it is crucial to perform data transformations before conducting analysis, such as adding, removing, or reordering columns,…
read moreOverview In this blog post you will learn the steps required to import CSV files in pandas library using Jupyter notebook. We will also explore what the most popular data types are. Data Sources Type Explained to Growth Marketers You might wonder, why would you need to import CSV files in pandas? Each team…
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