Book Image

Data Analytics Made Easy

By : Andrea De Mauro
4 (1)
Book Image

Data Analytics Made Easy

4 (1)
By: Andrea De Mauro

Overview of this book

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own. Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.
Table of Contents (14 chapters)
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What is data visualization?

Although the general concept of data visualization is straightforward, let's take some time to set the scene properly. The essential objective of data visualization is to transfer a message made of data to another human being. Being effective at this communication process implies that the receiver comprehends the original data-based message and "makes sense" of it through cognition. Figure 7.1 shows a graphical representation of a bad attempt of communicating data messages: presenting it all in its original format:

Figure 7.1: Presenting data in its original format: as you can see, the decision-maker is visibly overwhelmed, and the large majority of the data is ignored

The decision-maker here is clearly overwhelmed by such a large amount of raw data being offered. This is understandable: every human being has a limited amount of cognitive capacity, and our brains can only process a certain quantity of information at once. If we try...