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Lossless vs lossy compression, metadata, data cleaning, visualization, and extracting information
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Explore data compression (lossless vs lossy), file sizes and storage, metadata, collecting and cleaning data, data sets, filtering and transforming data, visualizations (charts, graphs, tables), identifying trends and patterns, making predictions, and the limitations of data analysis (bias, incomplete data).
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