Chris – “The first graphs I made were with Generic Mapping Tools (which still really kicks ass).Update: Congratulations to the following… Then come back here on Monday to see who won. Pencil and graph paper? Excel? R? Jelly beans? Tell us what you used to make your very first graph. For a chance to win, leave a comment below by January 9, 2011, 10:00pm PST. Want to win a copy? I have five of them up for grabs. It’s pretty technical, or as my wife said, “It has a lot of equations.” Win a copy However, if you’ve taken an intro stat course, and are ready to learn more, then Data Analysis could be helpful. There are examples throughout, but few provide an explanation of how a plot was made or the implementation of a method. Most of the time is spent explaining concepts, and then each chapter ends with a workshop, which includes some code. However, it is light in the “with open source tools” part of the title. It’s a little over 500 pages and thorough about describing how to analyze your data. You’ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. Janert can help you with that.Ĭollecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. Looking to get more serious about your data analysis? Data Analysis with Open Source Tools by Philip K.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |