Book Image

The Pandas Workshop

By : Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So
5 (1)
Book Image

The Pandas Workshop

5 (1)
By: Blaine Bateman, Saikat Basak, Thomas V. 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)
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

Activity 6.02 – DataFrame data selection

In this activity, you need to analyze data from this year's survey of Abalone oysters for the National Marine Fisheries Service (the source data can be found in the UCI repository: https://archive.ics.uci.edu/ml/datasets/abalone). In particular, you want to get some summary values for the dimensions of male and female samples in the data, depending on the number of rings in the oysters' shells. The ring count is a measure of age, and reviewing this data provides comparisons to previous years to help you understand the health of the population. The data contains several observations, including sex, length, diameter, weight, shell weight, and the number of rings.

To complete this activity, follow these steps:

  1. For this activity, all you will need is the pandas library. Load it into the first cell of the notebook.
  2. Read the abalone.csv file into a DataFrame called abalone and view the first five rows.
  3. Create a...