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Assessing chart readability and trustworthiness (Collection Two)

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posted on 29.03.2022, 07:33 authored by Laura Koesten, aneta Swianiewicz, Neal ReevesNeal Reeves, Simperl, Elena
These images represent a dataset generated through a partnership between King's College London and the University of Vienna. Each image consists of a chart generated from simulated weather data, designed to facilitate a crowdsourcing experiment exploring the perceived readability and trustworthiness of charts based on their features such as colouration, title and type as well as other features. Charts are arranged into 100 batches with each batch consisting of approximately 1,3000 chart images in .png format.

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