Categorical Data: Nominal and Ordinal Data
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Questions and Answers

What characteristic does discrete data have?

  • It has a fixed collection of numbers (correct)
  • It can be expressed in a range of values
  • It can be measured in a time series
  • It can be expressed in a categorical format
  • What type of data is not considered numerical data?

  • Text data
  • Image data (correct)
  • Float data
  • Time series data
  • Which type of data is categorized based on a specific order or scale?

  • Ordinal data (correct)
  • Categorical data
  • Numerical data
  • Nominal data
  • What type of data is used to describe qualities or characteristics of an object?

    <p>Categorical data</p> Signup and view all the answers

    Which type of data is not suitable for statistical analysis?

    <p>Image data</p> Signup and view all the answers

    What type of data is used to describe labels or names of objects?

    <p>Nominal data</p> Signup and view all the answers

    What is the primary characteristic that distinguishes categorical data from other types of data?

    <p>It is categorized but cannot be measured or ordered</p> Signup and view all the answers

    Which of the following is an example of discrete data?

    <p>The number of blue cars sold in a showroom</p> Signup and view all the answers

    What is the main difference between categorical data and continuous data?

    <p>Categorical data is categorized, while continuous data is measured within a range</p> Signup and view all the answers

    Which of the following is an example of categorical data?

    <p>The hair color of an individual</p> Signup and view all the answers

    What is the term for data that is not measured but can be categorized?

    <p>Categorical data</p> Signup and view all the answers

    Which of the following is NOT an example of categorical data?

    <p>Height of a person</p> Signup and view all the answers

    What is the primary characteristic of nominal data?

    <p>It lacks ranking capabilities</p> Signup and view all the answers

    What type of data is sizing on clothes an example of?

    <p>Ordinal data</p> Signup and view all the answers

    What is the purpose of annotating image data?

    <p>To help computers recognize things, people, and scenes</p> Signup and view all the answers

    What is the difference between categorical data and other types of data?

    <p>Categorical data divides data into distinct groups without giving each group a fixed value</p> Signup and view all the answers

    What type of data is made up of pixel values?

    <p>Image data</p> Signup and view all the answers

    What is an example of nominal categorical data?

    <p>Brand names</p> Signup and view all the answers

    Study Notes

    Types of Data

    • Discrete Data: fixed and whole numbers, easily visualized using statistical methods like bar graphs, line charts, histograms, and pie charts
    • Examples of Discrete Data: shoe sizes, number of blue cars sold
    • Characteristics of Discrete Data: fixed values, cannot have decimal points (e.g., cannot have a shoe size of 7.003)

    Continuous Data

    • Occurs within a range of values
    • Examples of Continuous Data: height of a plant, weight of newborn kittens, temperature changes in a desert

    Categorical Data

    • Data that is not measured, but categorized (e.g., pet choice, gender, hair color)
    • Characteristics of Categorical Data: no absolute difference among categories, cannot be measured or ordered

    Data

    • A collection of information stored in digital format
    • Used as a base for performing analysis and decision making
    • Data science aims to organize data to make it easy to understand and use

    Types of Data

    • Numerical Data: data that can be expressed numerically (real numbers, integers, floats)
      • Discrete Data: fixed, whole numbers (e.g., shoe sizes)
      • Continuous Data: occurs within a range of values (e.g., height of a plant)
    • Categorical Data: data that can be categorized (e.g., pet choice, gender)
      • Nominal Data: data with no natural order (e.g., brand names, colors)
      • Ordinal Data: data that can be ranked or ordered, but not measured (e.g., clothing sizes)
    • Image Data: composed of pixel values, used for tasks like object recognition and categorization
    • Text Data: consists of words and sentences

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    Description

    Learn about the two types of categorical data: nominal and ordinal data. Understand the differences between them and how they are used in data analysis. Prepare to test your knowledge of categorical data with this quiz!

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