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Chapter 3 – Data Description section 3.4 – Exploratory Data Analysis

Chapter 3 – Data Description section 3.4 – Exploratory Data Analysis. Exploratory Data Analysis (EDA). A very specific way to look at data. Exploratory Data Analysis (EDA) BOXPLOTS. To construct a boxplot we will need to know the five-number summary . Five-number summary Minimum Q 1

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Chapter 3 – Data Description section 3.4 – Exploratory Data Analysis

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  1. Chapter 3 – Data Descriptionsection 3.4 – Exploratory Data Analysis

  2. Exploratory Data Analysis (EDA) • A very specific way to look at data.

  3. Exploratory Data Analysis (EDA)BOXPLOTS • To construct a boxplot we will need to know the five-number summary. • Five-number summary • Minimum • Q1 • Median • Q3 • Maximum

  4. Exploratory Data Analysis (EDA)BOXPLOTS • A stockbroker recorded the number of clients she saw each day over an 11-day period. The data is shown below: • 33, 38, 43, 30, 29, 40, 51, 27, 42, 23, 31 • Find the five number summary of this data set. • Now, we will construct a boxplot.

  5. Exploratory Data Analysis (EDA)BOXPLOTS Comparing Real Cheese and Cheese Substitute Compare the distributions using boxplots.

  6. Practice • page 166 #1 – 17 all Test is on FRIDAY!

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