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Big Data Analysis with Python

You're reading from Big Data Analysis with Python

Product type Book

Published in Apr 2019

Publisher Packt

ISBN-13 9781789955286

Pages 276 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Authors (3):

Ivan Marin

Ankit Shukla

Sarang VK

View More author details

Table of Contents (11) Chapters

Big Data Analysis with Python

Preface

1. The Python Data Science Stack

2. Statistical Visualizations

3. Working with Big Data Frameworks

4. Diving Deeper with Spark

5. Handling Missing Values and Correlation Analysis

6. Exploratory Data Analysis

7. Reproducibility in Big Data Analysis

8. Creating a Full Analysis Report

Appendix

Graphs in Spark

The ability to effectively visualize data is of paramount importance. Visual representations of data help the user develop a better understanding of data and uncover trends that might go unnoticed in text form. There are numerous types of plots available in Python, each with its own context.

We will be exploring some of these plots, including bar charts, density plots, boxplots, and linear plots for Spark DataFrames, using the widely used Python plotting packages of Matplotlib and Seaborn. The point to note here is that Spark deals with big data. So, make sure that your data size is reasonable enough (that is, it fits in your computer's RAM) before plotting it. This can be achieved by filtering, aggregating, or sampling the data before plotting it.

We are using the Iris dataset, which is small, hence we do not need to do any such pre-processing steps to reduce the data size.

Note

The user should install and load the Matplotlib and Seaborn packages beforehand, in the development...

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Authors (3)

Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.

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Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.

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Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.

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