1 / 6

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

jenna-booth
Télécharger la présentation

Chapter 3 – Data Description section 3.4 – Exploratory Data Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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!

More Related