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Full-Text Articles in Social and Behavioral Sciences
Appendix D: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Appendix D: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Research Data
This document, "Problem Solving & Interface Comments,” is an electronic Appendix D to, and is cited in, the empirical study: Susan Nevelow Mart, Adam Litzler, and David Gunderman, Hunting and Gathering on the Legal Information Savannah, 114 Law Libr. J. 1, 15 n.43 (2022), https://scholar.law.colorado.edu/articles/1548/.
Appendix E: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Appendix E: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Research Data
This document, "Random Search Order,” is an electronic Appendix C to, and is cited in, the empirical study: Susan Nevelow Mart, Adam Litzler, and David Gunderman, Hunting and Gathering on the Legal Information Savannah, 114 Law Libr. J. 1, 15 n.44 (2022), available at https://scholar.law.colorado.edu/articles/1548/.
Appendix C: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Appendix C: Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Research Data
This document, "Twelve Problems,” is an electronic Appendix C to, and is cited in, the empirical study: Susan Nevelow Mart, Adam Litzler, and David Gunderman, Hunting and Gathering on the Legal Information Savannah, 114 Law Libr. J. 1, 13 n.37 (2022), available at https://scholar.law.colorado.edu/articles/1548/.
Introduction To Data Science, Spencer P. Greenhalgh
Introduction To Data Science, Spencer P. Greenhalgh
Information Science Textbook Gallery
This book was developed for ICT/LIS 661: Introduction to Data Science, as offered in the University of Kentucky's School of Information Science. It adapts and expands on openly licensed materials to introduce readers to basic statistical concepts, the R programming language, and philosophical critique of data science.
This open access textbook was supported by the University of Kentucky Libraries Alternative Textbook program