3. Characterizing Data Visually

  1. Todd L. VanPool and
  2. Robert D. Leonard

Published Online: 20 APR 2011

DOI: 10.1002/9781444390155.ch3

Quantitative Analysis in Archaeology

Quantitative Analysis in Archaeology

How to Cite

VanPool, T. L. and Leonard, R. D. (2010) Characterizing Data Visually, in Quantitative Analysis in Archaeology, Wiley-Blackwell, Oxford, UK. doi: 10.1002/9781444390155.ch3

Publication History

  1. Published Online: 20 APR 2011
  2. Published Print: 22 NOV 2010

ISBN Information

Print ISBN: 9781405189514

Online ISBN: 9781444390155



  • characterizing data visually, and data - ideas about the world to be proven wrong;
  • data acquisition, and questions - addressing within our theoretical structure;
  • data summary or description, two forms - sequential steps to effective use of data in analysis;
  • Carrier Mills feature depths - depth of features on Carrier Mills archaeological project;
  • good starting point, for visually representing archaeological data sets - interval scales of measurement and frequency distribution;
  • frequency distribution, grouping depths for Carrier Mills - and five classes;
  • combining classes - making a frequency table, and reducing digit numbers;
  • histograms, data frequency - class marks on horizontal axis and class frequencies on vertical axis;
  • stem and leaf diagrams, data - through construction of stem and leaf diagram;
  • bar chart of physiographic provenience - villages in Early Monongahela period in Lower Monongahela and Lower Youghiogheny river basins


This chapter contains sections titled:

  • Frequency Distributions

  • Histograms

  • Stem and Leaf Diagrams

  • Ogives (Cumulative Frequency Distributions)

  • Describing a Distribution

  • Bar Charts

  • Displaying Data like a Pro

  • Archaeology and Exploratory Data Analysis