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The Pandas Workshop

The Pandas Workshop

By : Blaine Bateman, Saikat Basak , Thomas Joseph, William So
4.8 (16)
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The Pandas Workshop

The Pandas Workshop

4.8 (16)
By: Blaine Bateman, Saikat Basak , Thomas Joseph, William So

Overview of this book

The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects. You’ll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you’ll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services. By the end of this data analytics book, you’ll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.
Table of Contents (21 chapters)
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1
Part 1 – Introduction to pandas
6
Part 2 – Working with Data
11
Part 3 – Data Modeling
15
Part 4 – Additional Use Cases for pandas

Introduction to data visualization

Humans can process a large amount of information using their sense of vision. Data visualization utilizes humans' innate skills to enhance the efficiency of data processing and organization. A classic visualization process starts by filtering data, transforming it into visual forms, and eventually displaying the data interactively to end users. With data visualization, users find it easier to understand and interpret the meaning of the underlying data. Good data visualization helps identify patterns, trends, and extreme values in a concise presentation. This is important in every aspect, especially when the data is big in volume or highly complex. Making sense of a large amount of data in a small amount of time is a huge business value.

pandas offers various options for visualizing data. To ensure your visualizations are accurate and that they correctly convey the insights gained from the underlying data, it is critical to identify and clean...

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