Book Image

Practical Business Intelligence

By : Ahmed Sherif
Book Image

Practical Business Intelligence

By: Ahmed Sherif

Overview of this book

Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market.
Table of Contents (16 chapters)
Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 6.  Creating Histograms and Normal Distribution Plots with Python

Python is a general-purpose programming language that was created in the late 1980s. So, while it has been around for quite a while, it has experienced a popularity surge of late, especially within the data science and data visualization communities. In fact, in a 2016 study performed by CodeEval found that Python was the most popular coding language, as seen in the following screenshot:

The full evaluation of all the coding languages, as well as the methodology for ranking the study used, can be found at the following website: http://blog.codeeval.com/codeevalblog/2016/2/2/most-popular-coding-languages-of-2016.

Python has a strong and passionate community of developers, and much of their innovation within the Python ecosystem has allowed it to branch out into other fields, such as business intelligence.

The greatest gap that has been filled between traditional Python programming and business intelligence...