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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

Summary

In this chapter, we have seen the importance of creating meaningful and interesting visualizations when analyzing data. A good data visualization can immensely help the analyst's job, representing data in a way that can reach larger audiences and explain concepts that could be hard to translate into words or to represent with tables.

A graph, to be effective as a data visualization tool, must show the data, avoid distortions, make understanding large datasets easy, and have a clear purpose, such as description or exploration. The main goal of a graph is to communicate data, so the analyst must keep that in mind when creating a graph. A useful graph is more desirable than a beautiful one.

We demonstrated some kinds of graphs commonly used in analysis: the line graph, the scatter plot, the histogram, and the boxplot. Each graph has its purpose and application, depending on the data and the goal. We have also shown how to create graphs directly from Matplotlib, from pandas, or a combination...

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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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