Beschreibung:
Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task.
Introduction. Reading and Writing Datasets. Data Cleaning. Labeling Datasets. Creating Variables. Combining Datasets. Processing Observations across Subgroups. Changing the Shape of Your Data. Programming for Data Management. Additional Resources. Appendix. Index.