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This presentation provides an overview of a new SAS book, The Data Detectives Toolkit: Cutting-Edge Techniques and SAS Macros to Clean, Prepare and Manage Data, which helps you keep data preparation on schedule and within budget. You will discover efficient and low-cost ways to automate creating project documentation, such as codebooks describing your variables, catalogues describing your data sets and crosswalks showing the relationship of variables across data sets. These macros also automatically create quality control reports identifying the anomalies in your data, including out-of-range values, incomplete format definitions, v…...more
Cutting-Edge Techniques and SAS Macros to Clean, Prepare and Manage Data
This presentation provides an overview of a new SAS book, The Data Detectives Toolkit: Cutting-Edge Techniques and SAS Macros to Clean, Prepare and Manage Data, which helps you keep data preparation on schedule and within budget. You will discover efficient and low-cost ways to automate creating project documentation, such as codebooks describing your variables, catalogues describing your data sets and crosswalks showing the relationship of variables across data sets. These macros also automatically create quality control reports identifying the anomalies in your data, including out-of-range values, incomplete format definitions, validation of skip patterns, variables with no variation in their value, variables missing labels or assigned formats. The only requirement for producing these documents and reports is having SAS data sets with formats and labels. Traditionally, these documents are produced at the end of the project with a great deal of programming and manual effort, but these tools allow the programmer to seamlessly create these documents and reports at any time during the data preparation task. Producing these documents early in data collection improves data quality, as well as communication between the data collection team and client. The SAS macros covered in this presentation are provided as open source code and can be downloaded from the SAS author page for this book.
PRESENTER:
Kim Chantala, RTI International
SESSION ID: 1177
TOPIC: Data Management
INDUSTRY: Government (Federal, State and Local), Health Care
AUDIENCE: Analyst, Progammer,Researcher
SKILL LEVEL: Intermediate
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