Practical SQL is a pragmatic guide to analysing data sets using SQL, the programming language that powers the world's most popular database applications. The book focuses on finding the story that a data set tells and discovering the information in data sets, using the PostgreSQL database as its primary tool. Practical SQL is ideal for those who need a tool to find meaning in data: A marketing department staffer analysing the results of a customer survey; a student analysing a data set as part of a research project; even a journalist building a data set to investigate a government agency.
Rezensionen / Stimmen
One of the best-organized travelogues we've seen into the SQL realm."
-Newstips Bulletin
"Slightly more fun and more engaging [than Learning SQL from O'Reilly]."
-Python Programmer, YouTuber
"Practical SQL will take you from an absolute databases beginner towards becoming a database and SQL master. This book is one of those books that you feel like reading a novel, not a technical book. It uses an easy to follow and understand the approach that makes it easy to read for people from all backgrounds."
-Sara A. Metwalli, Towards Data Science
"I recommend reading Practical SQL by Anthony DeBarros for a more in-depth look on how to implement regression analysis and other analytical tools using SQL."
-Michael Grogan, Towards Data Science
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 234 mm
Breite: 178 mm
ISBN-13
978-1-59327-827-4 (9781593278274)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Anthony DeBarros is an award-winning journalist who's combined avid interests in data analysis, coding, software product development, and storytelling for much of his career. He's currently a data news editor for the Wall Street Journal, focusing on topics including the economy, trade, the U.S. Census, and politics. He previously held positions with USA TODAY, the Poughkeepsie Journal, and the DocumentCloud project for Investigative Reporters and Editors.
Introduction
Chapter 1: Creating your first database & table
Chapter 2: Beginning Data Exploration with SELECT
Chapter 3: Understanding Data Types
Chapter 4: Importing and Exporting Data
Chapter 5: Basic Math and Stats
Chapter 6: Joining Tables in a Relational Database
Chapter 7: Table Design that Works for You
Chapter 8: Grouping and Summarizing Data
Chapter 9: Cleaning , Modifying, Deleting Data
Chapter 10: Ranks, Rates, asnd Stats
Chapter 11: Dealing with Dates
Chapter 12: Advanced Queries
Chapter 13: Full-Text Search
Chapter 14: GIS
Chapter 15: Views
Chapter 16: Working from the command line
Chapter 17: Maintenance
Appendix A: Alternative software and text editors
Appendix B: Solutions
