Questions and Answers
What characteristic does discrete data have?
It has a fixed collection of numbers
What type of data is not considered numerical data?
Image data
Which type of data is categorized based on a specific order or scale?
Ordinal data
What type of data is used to describe qualities or characteristics of an object?
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Which type of data is not suitable for statistical analysis?
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What type of data is used to describe labels or names of objects?
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What is the primary characteristic that distinguishes categorical data from other types of data?
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Which of the following is an example of discrete data?
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What is the main difference between categorical data and continuous data?
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Which of the following is an example of categorical data?
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What is the term for data that is not measured but can be categorized?
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Which of the following is NOT an example of categorical data?
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What is the primary characteristic of nominal data?
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What type of data is sizing on clothes an example of?
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What is the purpose of annotating image data?
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What is the difference between categorical data and other types of data?
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What type of data is made up of pixel values?
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What is an example of nominal categorical data?
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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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