The Data Detective

Reduce the cost and time of cleaning, managing, and preparing research data while also improving data quality! Have you ever wished there was an easy way to reduce your workload and improve the quality of your data? The Data Detective’s Toolkit: Cutting-Edge Techniques and SAS Macros to Clean, Prepare, and Manage Data will help you automate many of the labor-intensive tasks needed to turn raw data into high-quality, analysis-ready data. You will find the right tools and techniques in this book to reduce the amount of time needed to clean, edit, validate, and document your data. These tools include SAS macros as well as ingenious ways of using SAS procedures and functions. The innovative logic built into the book’s macro programs enables you to monitor the quality of your data using information from the formats and labels created for the variables in your data set. The book explains how to harmonize data sets that need to be combined and automate data cleaning tasks to detect errors in data including out-of-range values, inconsistent flow through skip paths, missing data, no variation in values for a variable, and duplicates. By the end of this book, you will be able to automatically produce codebooks, crosswalks, and data catalogs.

From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

If you have ever thought to yourself, "I want to become Data Detective or I want to enhance my skills for the future data-driven job market" then this is a perfect book for you. In the book, the author comes up with some important themes: Skills need to become a data detective, Representing data to management and so on. In the book, the author comes up with some important themes: History Of Data Detective Becoming A Data Detective Data Detective Challenges And Opportunities Data Detective In Agile Era Skills Need To Become Data Detective IoT Data: Collect, Process, And Analyze Data Detective: How To Find Knowledge And Insights In Data Data Detective: Handing Large Set IoT Sensor Data Quantum Computing And Quantum Information Science Quantum Computing For Largest Of Data Handling Data Detective: Data Detective Data Munging And Finding Patterns Data Detective: Creating Computerised Models To Extract The Data Data Detective: Removing Corrupted Data Data Detective: Perform Initial Analysis To Assess The Quality Of The Data Data Detective: Determine The Meaning Of The Data Data Detective: Final Analysis To Provide Additional Data Screening Data Detective: Representing Data To Management Data Detective Big Data And AI/ML Follow Along The Journey Self Q&A This book showcases the future data-driven job "Data Detective". The author, who is himself a data detective, has gone on to share the expertise that comes with this job. The book showcases how one can be a "data detective". It also stresses some important skills for this job. The book emphasizes the importance of different skills while looking at data. For example, it highlights the role of domain expertise in making judgements about data. Other important skills include an ability to understand the basics of statistics and physics (different types of sensors). Review #1: The book is mainly focused on the job title "Data Detective". The author of the book himself has worked as a data detective and has gone on to share his expertise in the field. In the book, the author gives a brief explanation of how one can become a data detective or enhance their skills in this field. The book also talks about the skills required if someone wants to be a data detective. The author stresses some important themes such as representing data to management, overcoming challenges with sensor aggregation etc. The author has used his own experiences to help the reader understand the concepts. Review #2: This book is written by an experienced data detective who has gone on to share his expertise with many people. This particular book is written for those who are interested in working as a data detective. The author talks about how one can become a data detective and what skills are needed to be a data detective. The book also touches upon some other important themes such as effective communication with customers, how to represent data for managers etc. The author has used his own experiences to help the reader understand the concepts. The author has come up with some important themes such as "Need to become a data detective", "Skills needed if someone wants to be a data detective" etc. Review #3: The book emphasizes the importance of different skills while looking at data. For example, it highlights the role of domain expertise in making judgements about data. Other important skills include an ability to understand the basics of statistics and physics (different types of sensors).

An update to the original 1992 publication, this two-volume set unites current research to provide new conceptualizations of research problems, and to suggest possible research programs to move the field forward. In studying the existing research, the authors found that the community has maintained its focus on problems of learning, teaching, teacher education, assessment, technology, and social and cultural aspects of mathematics education, while some new areas of interest have emerged or been expanded. This set allows educators to step back and look at each of these areas to see where mathematics education research has been and where it should be going to enable the field to answer the questions about education that practitioners, policy makers, and politicians are asking.

The one book/disk package that every PC user needs to have whether or not he/she fears that inevitably his/her PC will crash. Data recovery is only half the book. The other half deals with prevention. The author shows you several time-tested ways of utilizing preventive maintenance. The author also discusses all of the DOS commands that deal with file recovery, such as FDISK, FORMAT, CHKDSK, etc. The disk contains many useful utilities.