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Explore the science and art of data visualization in this comprehensive 3-hour tutorial from PyCon US. Learn to select appropriate plots for various data types, preprocess complex datasets, and make crucial aesthetic decisions to effectively communicate your findings. Designed for Python users with basic plotting experience, this tutorial aims to enhance your visualization skills using libraries such as seaborn, matplotlib, plotly, and sklearn. Delve into topics including density estimation, dimensionality reduction, and interactive plotting, while working with diverse datasets from scientific, financial, geospatial, and educational fields. Master the techniques needed to create impactful visualizations that clearly convey data, statistics, and results across different domains.
