Monthly Archives :

July 2023

How to Standardise Data in Pandas. Z-Score Method

How to Standardise Data in Pandas. Z-Score Method

Introduction 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…

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900 500 Nicola Rubino
How to Build Pivot Table in Pandas. Examples for Marketers.
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How to Build Pivot Table in Pandas. Examples for Marketers.

This 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…

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2560 1900 Nicola Rubino
Mastering Data Cleaning in Python: A Practical Guide for Growth Marketers
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Mastering Data Cleaning in Python: A Practical Guide for Growth Marketers

Are 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,…

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2048 768 Nicola Rubino