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72 Pages • Complete Study Notes • Year Uploaded: 2024
Complete course notes (readings + lectures): Week 1: Exploratory Data Analysis (EDA) Key Concepts 1. Exploratory data analysis (EDA) a. a compliment to “confirmatory data analysis” (CDA) 2. Stem-and-leaf diagrams 3. Five number summary a. Median, minimum, maximum, hinges (quartiles) 4. Resistant statistics 5. Box(-and-whisker) plots 6. Residuals 7. Transforms 1) Exploratory data analysis (EDA) EDA seeks to answer, “What’s going on here”. Reveals patterns in the data and to interpret these found patterns. EDA emphasizes graphics, tentative model building, robust measures, and an attitude of skepticism, flexibility, and ecumenism to methods. EDA contrasts Confirmation data analysis or CDA eg null hypothesis significance testing. EDA serves as the detective work while CDA serves as the trial. EDA is used to atleast look at the data before CDA occurs allowing us to: • See patterns that suggest or relate to the hypothesis • Spot errors within the data • Assess assumptions, in particular the normality of data
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