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

Summary


In this chapter, we have explored an interesting tool for online data analysis with Python. Wakari provides us with scientific environments ready to use; this is a great tool for teaching and sharing code. In this chapter, we provided a short introduction to image processing and the pandas library. In pandas, we learned how to work with Time Series and with multivariate datasets. Finally, we learned how to share our IPython notebooks with other Wakari users and how IPython has evolved into the Jupyter project.

Wakari is highly recommended for all the Python community, because it provides a robust Anaconda environment out of the box and support for all the major Python libraries.