Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 14.  Online Data Analysis with Jupyter and Wakari

In this chapter, we will introduce an online tool for data analysis called Wakari, in which we will set up a complete Python environment in just a few seconds. Then we will present some of the capabilities of Wakari through Jupyter Notebook by using the PIL and pandas libraries.

In this chapter, we will cover:

  • Getting started with Wakari

  • Getting started with Jupyter Notebook

  • Introduction to image processing with PIL

  • Introduction to data analysis with pandas

  • Sharing your Notebook