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

Sharing your Notebook


One of the most amazing features of Wakari is that we can share our notebooks with other Wakari users and they can import them into their accounts. This feature makes Wakari an excellent choice for teaching a workshop or for a presentation.

The data

When our IPython Notebook is ready, we can share it with other Wakari users just by clicking on the Share button next to the name of our Notebook in the resources tab.

In the following screenshot, we can see the Sharing window, where we may change the NAME and add a DESCRIPTION to our notebook. For paid accounts, we can also include a password to keep our notebook private:

Once we are ready, we will click on the Submit button. We will see in the Sharing Status window that the process is complete, and we can click Link to the bundle to see our notebook being shared, as shown in the following screenshot:

After clicking on Link to the bundle, we will see our IPython notebook Intro to Pandas as read-only. If we click on the Run...