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Data Science for Public Policy pp 5–12Cite as

The Case for Programming

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Part of the Springer Series in the Data Sciences book series (SSDS)

Abstract

Between 1786 and 1802, a Scottish engineer named William Playfair published Commercial and Political Atlas a collection of data vizualizations illustrating economic and political trends of the 18th century. The book introduced the first line and pie charts, skillfully designed and furnished with narrative to guide readers through the economic patterns of the day.

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  • DOI: 10.1007/978-3-030-71352-2_2
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Notes

  1. 1.

    While this screen capture is from a Mac computer, the layout is quite similar on a Windows machine.

  2. 2.

    The histogram will look similar but not exactly the same, as the \(n=10000\) observations are randomly drawn. In subsequent chapters, we show a simple way to ensure that the same simulation can be replicated on any computer.

Author information

Authors and Affiliations

  1. Bennett Institute for Public Policy, University of Cambridge, Cambridge, UK

    Jeffrey C. Chen

  2. Department of Economics, University of Oregon, Eugene, OR, USA

    Edward A. Rubin

  3. Department of Commerce, Bureau of Economic Analysis, Suitland, MD, USA

    Gary J. Cornwall

Authors
  1. Jeffrey C. Chen
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  2. Edward A. Rubin
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  3. Gary J. Cornwall
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Corresponding author

Correspondence to Jeffrey C. Chen .

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Chen, J.C., Rubin, E.A., Cornwall, G.J. (2021). The Case for Programming. In: Data Science for Public Policy. Springer Series in the Data Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-71352-2_2

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