Lilach Manheim Laurio Shows Us How to do a Better Job Critiquing Data Visualizations

Lilach Manheim Laurio leads the Data Experience Center of Excellence at Visa, where she helps data practitioners across the company to elevate the quality of their data products, and improve their skills in data visualization and data experience design. Lilach's data visualization work blends together a background in art history, library science, and human-centered information design, along with a passion for visual metaphor and pun.

Lilach has served as a Tableau Zen master (2018-2019), Tableau Public featured author, and co-organizer of her local Tableau user group chapter. She has contributed as guest author to the Tableau blog and the Nightingale journal, writing about design and user experience in data visualization. She has also spoken on topics ranging from visual metaphor to dataviz critique at Tableau conferences and user groups across the U.S.

Lilach holds a Bachelor degree in Art History and a Master of Library and Information Science (MLIS).

Episode Notes

Lilach | Web [https://t.co/uNEaKyTeTL] | Twitter [https://twitter.com/lilachmanheim] | Tableau Public [https://t.co/J725HmW1G4]

Visa Chart Components [https://developer.visa.com/pages/chart-components]

Elevating Data Experiences framework [https://developer.visa.com/images2/visa-chart-components/Data%20Experience%20Critique%20Framework.pdf]

Chris DeMartini (Twitter) [https://twitter.com/demartsc?lang=en]

Frank Elavsky (Twitter) [https://twitter.com/FrankElavsky]

Data Visualization Society [https://www.datavisualizationsociety.org/]The Shape Parameter of a Two-Variable Graph [https://www.jstor.org/stable/2288843] (banking to 45 degrees paper from Cleveland, McGill, and McGill)

Related blog posts:

* PolicyViz: A Better Path Toward Criticizing Data Visualization [https://policyviz.com/2023/02/01/a-better-path-toward-criticizing-data-visualization/]

* PolicyViz: Should we give awards for data visualizations? [https://policyviz.com/2022/02/17/should-we-give-awards-for-data-visualizations/]

* PolicyViz: Critiquing a Data Visualization Critique [https://policyviz.com/2020/07/19/critiquing-a-data-visualization-critique/]

* Fernanda Viégas and Martin Wattenberg: Design and Redesign in Data Visualization [https://medium.com/@hint_fm/design-and-redesign-4ab77206cf9]

Books

* Functional Aesthetics for Data Visualization [https://amzn.to/3GL5mty]

* Building Science Graphics: An Illustrated Guide to Communicating Science through Diagrams and Visualizations [https://amzn.to/3GMV1gH]

* Joyful Infographics: A Friendly, Human Approach to Data [https://amzn.to/3ITZmRG]

* Data Visualisation: A Handbook for Data Driven Design [https://amzn.to/3CTzLEK]

* Data Literacy Fundamentals: Understanding the Power & Value of Data [https://amzn.to/3QJFQcy]