Artwork

Inhoud geleverd door Jon and The PolicyViz Podcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Jon and The PolicyViz Podcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Player FM - Podcast-app
Ga offline met de app Player FM !

A History of Data Visualization and Graphic Communication A History of Data Visualization and Graphic Communication with Michael Friendly & Howard Wainer

31:14
 
Delen
 

Manage episode 329548863 series 1564382
Inhoud geleverd door Jon and The PolicyViz Podcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Jon and The PolicyViz Podcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Michael Friendly is a Fellow of the American Statistical Association, a Professor of Psychology, founding Chair of the graduate program in Quantitative Methods at York University, and an Associate Coordinator with the Statistical Consulting Service. He received his doctorate in Psychology from Princeton University, specializing in Psychometrics and Cognitive Psychology.

In addition to his research interests in psychology, Professor Friendly has broad experience in data analysis, statistics, and computer applications. He is the author of Discrete Data Analysis with R: Visualization and Modeling Techniques four Categorical and Count Data. He is also the author of SAS for Statistical Graphics, 1st Edition and Visualizing Categorical Data, both published by SAS Institute, and an Associate Editor of the Journal of Computational and Graphical Statistics and Statistical Science His recent work includes the further development of graphical methods for categorical data and multivariate linear models, as well as work on the history of data visualization.

Howard Wainer is an independent statistician and author with experience in educational testing and data visualization. He received his PhD from Princeton University in 1968. He has taught at The University of Chicago, Princeton University and the Wharton School of the University of Pennsylvania. He was employed by the Educational Testing Service from 1980 until 2001 and was the Distinguished Research Scientist at the National Board of Medical Examiners from 2001 until 2016. He is a fellow of the American Statistical Association and American Educational Research Association.

Episode Notes

Michael Friendly and Howard Wainer, A History of Data Visualization & Graphic Communication

Michael Friendly GitHub | https://friendly.github.io/HistDataVis/

Milestones Project: https://datavis.ca/milestones/

Michael Friendly Site | https://www.datavis.ca/

John W. Tukey, Exploratory Data Analysis

Sandra Rendgen, The Minard System: The Complete Graphics of Charles-Joseph Minard

Brit Rusert, Silas Munro, W. E. B. Du Bois’s Data Portraits: Visualizing Black America

Leland Wilkinson, The Grammar of Graphics

Isabel Wilkerson, The Warmth of Other Suns: The Epic Story of America’s Great Migration

  continue reading

260 afleveringen

Artwork
iconDelen
 
Manage episode 329548863 series 1564382
Inhoud geleverd door Jon and The PolicyViz Podcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Jon and The PolicyViz Podcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Michael Friendly is a Fellow of the American Statistical Association, a Professor of Psychology, founding Chair of the graduate program in Quantitative Methods at York University, and an Associate Coordinator with the Statistical Consulting Service. He received his doctorate in Psychology from Princeton University, specializing in Psychometrics and Cognitive Psychology.

In addition to his research interests in psychology, Professor Friendly has broad experience in data analysis, statistics, and computer applications. He is the author of Discrete Data Analysis with R: Visualization and Modeling Techniques four Categorical and Count Data. He is also the author of SAS for Statistical Graphics, 1st Edition and Visualizing Categorical Data, both published by SAS Institute, and an Associate Editor of the Journal of Computational and Graphical Statistics and Statistical Science His recent work includes the further development of graphical methods for categorical data and multivariate linear models, as well as work on the history of data visualization.

Howard Wainer is an independent statistician and author with experience in educational testing and data visualization. He received his PhD from Princeton University in 1968. He has taught at The University of Chicago, Princeton University and the Wharton School of the University of Pennsylvania. He was employed by the Educational Testing Service from 1980 until 2001 and was the Distinguished Research Scientist at the National Board of Medical Examiners from 2001 until 2016. He is a fellow of the American Statistical Association and American Educational Research Association.

Episode Notes

Michael Friendly and Howard Wainer, A History of Data Visualization & Graphic Communication

Michael Friendly GitHub | https://friendly.github.io/HistDataVis/

Milestones Project: https://datavis.ca/milestones/

Michael Friendly Site | https://www.datavis.ca/

John W. Tukey, Exploratory Data Analysis

Sandra Rendgen, The Minard System: The Complete Graphics of Charles-Joseph Minard

Brit Rusert, Silas Munro, W. E. B. Du Bois’s Data Portraits: Visualizing Black America

Leland Wilkinson, The Grammar of Graphics

Isabel Wilkerson, The Warmth of Other Suns: The Epic Story of America’s Great Migration

  continue reading

260 afleveringen

Alle afleveringen

×
 
Loading …

Welkom op Player FM!

Player FM scant het web op podcasts van hoge kwaliteit waarvan u nu kunt genieten. Het is de beste podcast-app en werkt op Android, iPhone en internet. Aanmelden om abonnementen op verschillende apparaten te synchroniseren.

 

Korte handleiding