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

Web scraping with Python


Let's start a new Python notebook by going to File and selecting New Jupyter Notebook. We can assign it the following name: PercentBikeRiders by Country. We will scrape a table from the following Wikipedia website: https://github.com/asherif844/PracticalBusinessIntelligence/wiki/AdventureWorks---Detail-by-CountryCode.

This table lists country codes with the percentage of bicycle riders, as seen in the following screenshot:

In our new notebook, our first lines of code will import all of the required modules that we just finished installing, as seen in the following script:

#import packages into the project 
from bs4 import BeautifulSoup 
from urllib.request import urlopen 
import pandas as pd 

Once those have been imported, click on the play symbol button on the toolbar to execute the code inside of the cells.

At this point, you can continue to work inside of PyCharm directly, or you can copy the server IP address (http://127.0.0.1:8888) that pops...