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{
"articles": [
{
"path": "contents.html",
"title": "Course contents",
"author": [],
"contents": "\nChapter 0. Course Description\nBig picture\nBackground and goals\nCourse contents and schedule\nLogistics\nCommunication and tutoring\nCourse assessment\nExample of final project [article]\nBibliography and other resources\n\n\n\n\n\nChapter 1. Fundamentals of Graphical Practice\nIntroduction to DataViz: The What, the Why and the How\nWhat is a graph?\nAcclaimed historic examples\nWhy graphs?\nHow to make graphs?\nPrinciples of graphical excellence\n\nGraphical Integrity: How to Lie with Graphs\nBad charts\nSources of bad charts\n12 rules to display data badly\nChart rethinking (some exercises)\n\nGraphical Perception: Theory, Experimentation and its Application to Data Display\nIntroduction\nElements of visual encoding\nExpressiveness principle\nEffectiveness principle\nChannel effectiveness\n\nPrinciples of Graphical Representation: Some Useful General Guidelines\nAttitude\nGeneral Guidelines\n\n\n\n\n\n\nChapter 2. The Grammar of Graphs in R\nBuilding Graphs Layer by Layer\nScales and Guides\nCoordinate Systems\nFaceting\nThemes\nAnnotations\nArranging Plots\n\n\n\n\n\nChapter 3. Data Visualization in R\nDistribution\nCorrelation\nRanking\nPart of a Whole\nEvolution\nMap\nFlow\nOther Resources\n\n\n\n\n\nChapter 4. Data Communication in R\nR Markdown\nDocuments and notebooks\nPresentations\nOther formats\nDashboards\n\n\n\n\n\n\n\n\n",
"last_modified": "2023-02-02T12:38:48+01:00"
},
{
"path": "index.html",
"title": "Data visualization",
"description": "Homepage and materials for the course on\n[data visualization](https://aplicaciones.uc3m.es/cpa/generaFicha?est=375&asig=19139&idioma=2),\nas part of uc3m's\n[Master in Computational Social Science](https://www.uc3m.es/master/computational-social-science)\n",
"author": [],
"contents": "\n\n\n\n\n\n\n",
"last_modified": "2023-02-02T12:38:49+01:00"
},
{
"path": "projects.html",
"title": "Project archive",
"author": [],
"contents": "\n\n\n\n",
"last_modified": "2023-02-02T12:38:50+01:00"
},
{
"path": "resources.html",
"title": "Resources",
"author": [],
"contents": "\nRecommended Bibliography\nBasic Bibliography\nMunzner, T. (2014)\nVisualization analysis and design. CRC Press.\nTufte, E. R. (2018)\nThe visual display of quantitative information. Graphics Press.\nWickham, H., & Sievert, C. (2016)\nggplot2: Elegant graphics for data analysis. Springer.\n[online]\nAdditional Bibliography\nCleveland, W. S. (1985)\nThe elements of graphing data. Wadsworth Inc.\nMeirelles, I. (2013)\nDesign for information. Rockport Publishers.\nRahlf, T. (2019)\nData Visualisation with R: 111 examples. Springer.\nTufte, E. R. (2018)\nEnvisioning information. Graphics Press.\nTufte, E. R. (2019)\nVisual explanations: Images and quantities, evidence and narrative.\nGraphics Press.\nTufte, E. R. (2019)\nBeautiful evidence. Graphics Press.\nWare, C. (2021)\nInformation visualization: Perception for design. Elsevier.\nWilkinson, L. (2005)\nThe grammar of graphics. Springer New York.\nOnline Resources\nIdeas for Projects\nOver 60 New York Times Graphs for Students to Analyze: A collection of graphs, maps and charts organized by topic and graph type from three years of “What’s Going On in This Graph?”\nThe Pew Research Center produces lots of high-quality visualizations of social data.\nThe Economist publishes very nice data-driven stories.\nMiscellanea\nggplot2 docs\nggplot2 extensions\nData visualization with ggplot2 cheatsheet\nAwesome ggplot2\nThe R Graph Gallery\nTidyTuesday\nA ggplot2 Tutorial for Beautiful Plotting in R,\nby Cédric Scherer\n\n\n\n",
"last_modified": "2023-02-02T12:38:50+01:00"
},
{
"path": "tutorials.html",
"title": "Tutorials",
"author": [],
"contents": "\n\n\n\n",
"last_modified": "2023-02-02T12:38:50+01:00"
}
],
"collections": ["projects/projects.json", "tutorials/tutorials.json"]
}