Angelica Lo Duca

AI

Four Ways to Credit a Source in a Chart

Data Visualization, Data Storytelling A practical tutorial on where you should place credits in your next data visualization Angelica Lo Duca · Follow Published in Towards Data Science · 5 min read · 7 hours ago — Photo by Lukas Blazek on Unsplash When you build a chart with data that is not ours, you must cite the source from which you took the data. This serves to do justice to the work done by

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AI

Four Ways to Explain Insights Extracted from Data

Data Analytics, Data Science A tutorial on connections, coincidences, curiosity, and contradictions as strategies to explain insights from data. Angelica Lo Duca · Follow Published in Towards Data Science · 9 min read · 11 hours ago — Photo by Alexander Grey on Unsplash Explaining why something happens in your data is not easy. You may even find something exceptional in your data, but after your discovery, you must explain why this event occurred. In

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AI

How to Tailor a Chart to an Audience of Professionals

Data Visualization, Data Storytelling A ready-to-run tutorial showing how to tailor the global temperature anomalies dataset for an audience of professionals, using Python and Altair Angelica Lo Duca · Follow Published in Towards Data Science · 8 min read · 7 hours ago — Photo by wes lewis on Unsplash Did you know that the same dataset can be graphically represented differently based on the audience we have in front of us? This is because

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