Chapter 3 data description section 3 4 exploratory data analysis
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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 description section 3 4 exploratory data analysis

Chapter 3 – Data Descriptionsection 3.4 – Exploratory Data Analysis


Exploratory data analysis eda

Exploratory Data Analysis (EDA)

  • A very specific way to look at data.


Exploratory data analysis eda boxplots

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 boxplots1

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 boxplots2

Exploratory Data Analysis (EDA)BOXPLOTS

Comparing Real Cheese and Cheese Substitute

Compare the distributions using boxplots.


Practice

Practice

  • page 166 #1 – 17 all

    Test is on FRIDAY!


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