The book covers data analysis with R. After coverage of topics related to getting, downloading and organizing data in tables and tables, it gets directly to data analysis using standard SQL statements. This technique has two very important advantages: i) SQL by itself is superior to many other appoaches to common tasks such as filtering, grouping and joing data organized in tables, and ii) learning SQL without "fighting" with the databse system specifications (MS ACCESS, Oracle, MySQL, DB2, etc) becomes clean and easy. After reading the book anyone can maser of the SQL features that used in web services or app develepoment within a week or so. You will not become a database system administrator by reading this book, but you will understand and be able to write even compicate SQL statements to analyze your data. The book uses R to access the data, a well known statistical enviroment, and there will plenty of examples about statistics. However it is not a book about statistical inference, it focuses on organising and analyzing data with SQL. The pdf version of the book has code examples as attachments, ready to be used immediately. If you are a web or app developever, a data scientist, a data journalist. or you just work with data, do not miss this book.
