The Visual Display of Quantitative Information

By E. Tufte. 1985

The visual display of quantitative information , The visual display of quantitative information , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی

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Citations in the corpus

Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, unknown): “This topic is usually referred to as Data Visualisation (Cleveland, 1993, 1994; Fortner, 1995; Wilkinson, 1999; Friendly, 2000; Tufte, 2001), and is especially significant in the analysis of multivariate omics data.”
The Sankey Diagram in Energy and Material Flow Management (2008, background): “It is interesting to note that Tufte described Charles Joseph Minard’s map showing the losses sustained by Napoleon’s army during the Russia campaign of 1812–1813 as possibly the best statistical graphic ever drawn (Tufte, 2001, 40).”
Commentary: Towards an Integrated View of Learning from Text and Visual Displays (2002, background): “Another example is Dr John Snow’s use of a map of Central London in 1854, when he plotted the location of deaths from cholera and found that the decease came from the Broad Street water pump (Tufte, 1983).”
MEXPRESS: visualizing expression, DNA methylation and clinical TCGA data (2015, methodology): “MEXPRESS was designed after the principles of graphical excellence as described by Edward Tufte [10] to ensure that the complex and multidimensional TCGA data would be presented in a clear, precise and efficient way to the user.”
Locating the Semiotic Power of Multimodality (2005, background): “In an ideal world, one would take into account all of the modes—spoken words, images, music, written text, and movement and transitions— but such complexity quickly overwhelms.”
Raincloud plots: a multi-platform tool for robust data visualization (2018, unknown): “However, there is nothing to be gained, statistically speaking, by mirroring the PDF in the violin plot, and therefore they are violating the philosophy of minimising the “data-ink ratio” (Tufte, 1983)(4).”
Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty (2010, background): “Generic perception and visualization guidelines by Bertin [2], Tufte [48] [49] [50], and Ware [53] also provide insight that could be of value in representing uncertainty.”
Graphical Perception of Multiple Time Series (2010, methodology): “Small multiples applied to line graph visualization means that instead of adding all time series to the same graph space, we split the space into individual graphs, one for each time series [28].”
Visualization of interfirm relations in a converging mobile ecosystem (2008, background): “This is surprising because complex and large networks are abundant in economies, markets, firms, and societies and some prominent researchers have argued that visualization approaches can be extremely valuable for business strategy (Kaplan and Norton, 2000), scenario planning (Anthony et al., 1993),”
The Box-Percentile Plot (2003, methodology): “Variants of the boxplot without an actual box have also been proposed (Tufte, 1983; Tukey, 1977; Tukey, 1990).”
Polaris: a system for query, analysis and visualization of multi-dimensional relational databases (2000, methodology): “Comparative: Tables generate small-multiple displays of information, which, as Tufte [38] explains, are easily compared, exposing patterns and trends across dimensions of the data.”
Visualizing time-series on spirals (2001, background): “Time series plots appear for the first time in the illustration of planetary orbits in a text from a monastery school [16].”
Systematicity in Organizational Research Literature Reviews: A Framework and Assessment (2021, background): “Moreover, consistent coding facilitates the creation of high-dimensional, information-dense graphical representations that illustrate salient features of the literature (Tufte, 2001).”
Visualization Rhetoric: Framing Effects in Narrative Visualization (2011, background): “Data provenance strategies include citing and/or linking data sources, additional references, methodological choices, and relevant facts, as well as annotating exceptions and corrections, thus achieving goals proposed by Tufte for graph provenance [44].”