Working papers

Spencer, Scott. Data in Wonderland. Last updated 2021 January 6.

Spencer, Scott. Estimating utility of called pitches. Last updated 2020 June 11.

Spencer, Scott. p( persuasion | data, analysis, storytelling ). Last updated 2020 March 07.

Spencer, Scott. A physics and geometry-based, stochastic model for calls, swings, and contact. Last updated 2019 December 29.

Spencer, Scott. Locality of Baseball Data.

Spencer, Scott. Estimating impact of flooding expectations on real property purchase price. Last updated 2019 July 28.

R packages

Spencer, Scott. HSLuv: Converts HSLuv to RGB and Hex. Last updated 2020 March 30. R package version 0.0.1.

Spencer, Scott. ggSankeyGrad: A ggplot-based Sankey Graphic with Gradient Flows. Last updated 2020 March 30. R package version 0.0.1.

Visualizations

Spencer, Scott. Creating and placing custom glyphs. 2020 April 6. Columbia University.

Spencer, Scott. Demonstration of Layers in Graphics. 2020 March 6. Columbia University.

Spencer, Scott. Ride Against the Flow. 2019. Computer graphics. Kantar Information is Beautiful Awards.

Presentations and lectures

2021 January - May. Spring course, Storytelling with data. Columbia University.

Spencer, Scott. 01 | Analytics Communication — Scopes, Audiences, Challenges Storytelling with data. In Applied Analytics, Columbia University. 2021 January 13.

Spencer, Scott. 02 | data for analytics projects, and elements of writing Storytelling with data. In Applied Analytics, Columbia University. 2021 January 20.

2020 September - December. Fall course, Research Design. Columbia University.

Spencer, Scott. Introduction to research design, probability review. Research Design. In Applied Analytics, Columbia University. 2020 September 10.

Spencer, Scott. Review published study, questions and research, hypotheses. Research Design. In Applied Analytics, Columbia University. 2020 September 17.

Spencer, Scott. Elements of causal inference, experiments. Research Design. In Applied Analytics, Columbia University. 2020 September 24.

Spencer, Scott. A bit more probability review, sampling, statistical tests. Research Design. In Applied Analytics, Columbia University. 2020 October 1.

Spencer, Scott. Statistical tests continued; inference and interpretation. Research Design. In Applied Analytics, Columbia University. 2020 October 8.

Spencer, Scott. Observational studies. Research Design. In Applied Analytics, Columbia University. 2020 October 15.

Spencer, Scott. Survey design and analyses. Research Design. In Applied Analytics, Columbia University. 2020 October 22.

Spencer, Scott. Factorial experiments; analysis of variance; issues with multiple testing. Research Design. In Applied Analytics, Columbia University. 2020 October 29.

Spencer, Scott. Statistical power, sample size, simulations. Research Design. In Applied Analytics, Columbia University. 2020 November 5.

Spencer, Scott. Operationalizing research. Research Design. In Applied Analytics, Columbia University. 2020 November 12.

Spencer, Scott. Communicating research plans. Research Design. In Applied Analytics, Columbia University. 2020 November 19.

2020 January - May. Spring course, Storytelling with data. Columbia University.

Spencer, Scott. Is communication important for applied analytics? Storytelling with data. In Applied Analytics, Columbia University. 2020 January 27.

Spencer, Scott. Communication for applied analytics: challenges and scope. Storytelling with data. In Applied Analytics, Columbia University. 2020 February 3.

Spencer, Scott. Business writing: purpose, audience, and craft. Storytelling with data. In Applied Analytics, Columbia University. 2020 February 10.

Spencer, Scott. Principles of persuasion and brief proposals. Storytelling with data. In Applied Analytics, Columbia University. 2020 February 17.

Spencer, Scott. Audience analysis. Storytelling with data. In Applied Analytics, Columbia University. 2020 February 24.

Spencer, Scott. The storytelling process, with images and data graphics. Storytelling with data. In Applied Analytics, Columbia University. 2020 March 2.

Spencer, Scott. The storytelling process, and designing data graphics. Storytelling with data. In Applied Analytics, Columbia University. 2020 March 30.

Spencer, Scott. Effective visuals — encoding data graphically: grammar, layers, color. Storytelling with data. In Applied Analytics, Columbia University. 2020 April 6.

Spencer, Scott. Information graphics. Storytelling with data. In Applied Analytics, Columbia University. 2020 April 13 and 20.

Spencer, Scott. Considering presentations. Storytelling with data. In Applied Analytics, Columbia University. 2020 April 27.

Spencer, Scott. Variation and uncertainty. Storytelling with data. In Applied Analytics, Columbia University. 2020 May 4.

Other pedagogy, conferences, and articles

Spencer, Scott. Recoded in Stan all examples from McElreath’s Statistical Rethinking, Code last Updated 2019 April.

Gabry, Jonah. Ben Goodrich and Scott Spencer. Stan Is Not an Acronym: Bayesian Solutions to Sabermetric Shortcomings. 2018 August 5. SaberSeminar.

Spencer, Scott. Contours in Batter Comparisons: A Trick Up the Sleeve. 2017 August. Baseball Prospectus.

Spencer, Scott. Primary analyst and editor of The Real Madrid Way. How Values Created the Most Successful Sports Team on the Plant, written by Steven Mandis. Benbella Books, Inc., 2016.