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Data Analysis with IBM SPSS Statistics

You're reading from  Data Analysis with IBM SPSS Statistics

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283817
Pages 446 pages
Edition 1st Edition
Languages
Authors (2):
Ken Stehlik-Barry Ken Stehlik-Barry
Profile icon Ken Stehlik-Barry
Anthony Babinec Anthony Babinec
Profile icon Anthony Babinec
View More author details

Table of Contents (17) Chapters

Preface 1. Installing and Configuring SPSS 2. Accessing and Organizing Data 3. Statistics for Individual Data Elements 4. Dealing with Missing Data and Outliers 5. Visually Exploring the Data 6. Sampling, Subsetting, and Weighting 7. Creating New Data Elements 8. Adding and Matching Files 9. Aggregating and Restructuring Data 10. Crosstabulation Patterns for Categorical Data 11. Comparing Means and ANOVA 12. Correlations 13. Linear Regression 14. Principal Components and Factor Analysis 15. Clustering 16. Discriminant Analysis

Aggregating up one level

For the next set of Aggregate examples, a dataset from the repository maintained by UC Irvine will be used. This data can be downloaded in Excel format at the following link. It contains order information from a UK based online retailer. The data contains eight fields and 541,909 rows:

https://archive.ics.uci.edu/ml/datasets/Online+Retail

Source: Dr. Daqing Chen, Director: Public Analytics group. chend '@' lsbu.ac.uk, School of Engineering, London South Bank University, London SE1 0AA, UK.

Dataset Information: This is a transnational dataset with data from 37 countries that contains all the transactions occurring between December 1, 2010 and December 9, 2011 for a UK-based and registered non-store online retail. The company mainly sells unique all-occasions gifts. Many customers of the company are wholesalers.

To read the data into SPSS, you...

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