# Chapter 3 – Data Description section 3.4 – Exploratory Data Analysis - PowerPoint PPT Presentation

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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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## Chapter 3 – Data Descriptionsection 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

• Q1

• Median

• Q3

• Maximum

### 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.

### Exploratory Data Analysis (EDA)BOXPLOTS

Comparing Real Cheese and Cheese Substitute

Compare the distributions using boxplots.

### Practice

• page 166 #1 – 17 all

Test is on FRIDAY!