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This article explores three fascinating paradoxes in probability theory that challenge our intuitive understanding. First, we examine the Monty Hall Problem, which demonstrates how switching doors in a game show can counter-intuitively double your chances of winning. Next, we look at the Inspection Paradox through a medical testing scenario, showing how a highly accurate test can still lead to misleading conclusions when base rates are considered. Finally, we investigate Simpson's Paradox using a hospital comparison case, revealing how aggregated statistics can sometimes paint a completely different picture than when examining individual components.

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This article explores the concept of color spaces, their diversity, and characteristics. It delves into the foundational CIE 1931 color space, which serves as the reference standard for all other color spaces. Through interactive visualizations and video explanations, we'll examine how different color spaces are defined and their practical implications in color representation and reproduction.

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This article contains my notes from the paper "Time on the Horizon: A New Visual Design for Time-Series Data". I'll discuss the problem statement, the evaluation criteria, the authors' approach, and the case study.

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This article contains my notes from the paper "ShapeWordle: Tailoring Wordles using Shape-aware Archimedean Spirals". I'll discuss the definition, the original, the paper's contribution, and the code.

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This article contains my notes from the paper "SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects". I'll discuss the problem statement, the evaluation criteria, the authors' approach, and the case study.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the eighteenth lecture about text visualization. I'll discuss the importance of documents, collections of documents, and the different types of visualizations for text data.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the seventeenth lecture about visualization and machine learning. I'll discuss the importance of understanding data, model training, model evaluation, and the different types of visualizations for machine learning tasks.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the sixteenth lecture about visualization and natural language processing. I'll discuss the importance of linking text with visualization, understanding how readers integrate charts and captions, visual question and answering, and natural language interfaces.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the fifteenth lecture about deconstructing visualizations. I'll discuss the importance of classification, mark extraction, data extraction, and redesign.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the fourteenth lecture about network analysis. I'll discuss the importance of centrality, community structure, and simulating network models.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the thirteenth lecture about network layout. I'll discuss the importance of tree layout, node-link graph layout, spanning tree layout, Sugiyama-style graph layout, hierarchical edge bundles, force-directed layout, alternative layouts, attribute-driven layout, and summary.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the twelfth lecture about animation. I'll discuss the importance of animation in data visualization, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the eleventh lecture about color. I'll discuss the importance of color in data visualization, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the tenth lecture about visualization explainers. I'll discuss the importance of storytelling, design space of narrative visualization, interactive documents, chart sequences, and GraphScape.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the ninth lecture about perception. I'll discuss the importance of perception in data visualization, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the seventh lecture about introduction to D3. I'll discuss the importance of D3, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the sixth lecture about interaction. I'll discuss the importance of interaction in data visualization, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the fifth lecture about space in 2D. I'll discuss the importance of space in data visualization, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the fourth lecture about exploratory data analysis. I'll discuss the importance of exploratory data analysis, the principles behind it, and explore various techniques for visualizing data, including the use of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.

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This article contains my notes from Stanford's CS448B (Data Visualization) course, specifically focusing on the third lecture about visualization designs. I'll discuss the principles of effective data visualization, including the importance of guides, expressiveness, effectiveness, support for comparison and pattern perception, grouping and sorting data, transforming data, reducing cognitive overhead, and consistency. I'll also cover various chart types, such as line charts, bar charts, stacked area charts, and others, providing examples and discussing their design considerations.