9

Hands-On Data Wrangling and Data Visualization

For the final component of this book, we will go through two quick hands-on exercises. First, we will perform some data wrangling, cleaning, and manipulation with Python using the pandas and NumPy libraries, and build some simple data visualizations using Matplotlib and Seaborn. Second, we will build a Tableau dashboard using a publicly available dataset.

The purpose of these tutorials is to provide you with a comprehensive understanding of how to approach and analyze unfamiliar datasets. We aim to guide you through the process of assessing data, applying basic data wrangling techniques, and emphasizing the significance of data manipulation in preparing a dataset for in-depth analysis. Furthermore, ...

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