Exploratory data analysis (EDA) is an approach to analyzing data sets that focuses on summarizing their main characteristics using statistical graphics and visualization methods. It encourages statisticians to explore the data beyond formal modeling and hypothesis testing, potentially leading to new data collection and experiments. EDA is broader than initial data analysis (IDA), which specifically checks assumptions for model fitting and hypothesis testing, handles missing values, and makes variable transformations.
University of Washington
Spring 2022
This course from the University of Washington dives deep into the principles of data visualization, exploring techniques derived from graphic design, perceptual psychology, and cognitive science. The course enhances understanding of visualization techniques, exposure to common data domains, and offers practical experience in building and evaluating visualization systems.
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