MTU Cork Library Catalogue

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Exploratory data analysis / Frederick Hartwig, with Brian E. Dearing.

By: Hartwig, Frederick.
Contributor(s): Dearing, Brian E.
Material type: materialTypeLabelBookSeries: A Sage university paper; Quantitive applications in the social sciences ; ser. no. 07-016.Publisher: Beverly Hills : Sage Publications, 1979Description: 83 p. : ill., graphs ; 22 cm. + pbk.ISBN: 0803913702.Subject(s): Social sciences -- Statistical methodsDDC classification: 515.8
Contents:
The exploratory perspective -- Looking at data:distributions of single variables -- Looking at data: relationships between variables -- Looking for structure: reexpression -- Multivariate analysis: putting it all together -- The exploratory perspective revisited.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 515.8 (Browse shelf(Opens below)) 1 Available 00074159
Total holds: 0

Enhanced descriptions from Syndetics:

An Introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis - with numerous social science examples.

Includes bibliographical references (pages 79-80).

The exploratory perspective -- Looking at data:distributions of single variables -- Looking at data: relationships between variables -- Looking for structure: reexpression -- Multivariate analysis: putting it all together -- The exploratory perspective revisited.

Table of contents provided by Syndetics

  • Editor's Introduction (p. 5)
  • 1. The Exploratory Perspective (p. 9)
  • 2. Looking at Data: Distributions of Single Variables (p. 13)
  • Introduction (p. 13)
  • Displaying Data: The Stem-and-Leaf (p. 16)
  • Summarizing Data (p. 19)
  • Resistant Statistics and Number Summaries (p. 19)
  • The Box-and-Whisker (p. 23)
  • Understanding Data (p. 25)
  • Skewness (p. 26)
  • Outliers (p. 27)
  • Gaps and Multiple Peaks (p. 29)
  • Summary (p. 30)
  • 3. Looking at Data: Relationships Between Variables (p. 31)
  • Introduction (p. 31)
  • Displaying Relationships: The Scatter Plot (p. 32)
  • Summarizing Relationships (p. 34)
  • Fitting a Line (p. 34)
  • Smoothing the Data (p. 36)
  • Median and Hinge Traces (p. 39)
  • Examining Residuals (p. 42)
  • Understanding Relationships (p. 46)
  • Outliers (p. 46)
  • Nonlinear Monotonic Relationships (p. 48)
  • Nonmonotonic Relationships (p. 50)
  • Summary (p. 51)
  • 4. Looking for Structure: Reexpression (p. 52)
  • Introduction (p. 52)
  • Choosing Reexpressions (p. 58)
  • Nonlinear Monotonic Functions (p. 59)
  • Nonmonotonic Functions (p. 65)
  • Summary (p. 66)
  • 5. Multivariate Analysis: Putting It All Together (p. 69)
  • Step 1 Univariate Analysis (p. 70)
  • Step 2 Bivariate Analysis (p. 71)
  • Step 3 Multivariate Analysis (p. 71)
  • Step 4 Causal Analysis (p. 72)
  • 6. The Exploratory Perspective Revisited (p. 76)
  • References (p. 79)
  • Glossary (p. 80)

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