Enhancing everyday visualisation practice through generative and evaluative design tools for data scientists

"As you can see in Figure 1…" may well be the most frequently made claim in science. Unlike claims involving data, statistics, models and algorithms, those relating to visualisations are rarely evaluated or verified. So how do data scientists understand visualisations' effectiveness and expressiveness when they are developing these graphs, maps and networks?

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