Types of Data
Examples of Nominal Data :
- Colour of hair (Blonde, red, Brown, Black, etc.)
- Marital status (Single, Widowed, Married)
- Nationality (Indian, German, American)
- Gender (Male, Female, Others)
- Eye Color (Black, Brown, etc.)
Examples of Ordinal Data :
- When companies ask for feedback, experience, or satisfaction on a scale of 1 to 10
- Letter grades in the exam (A, B, C, D, etc.)
- Ranking of peoples in a competition (First, Second, Third, etc.)
- Economic Status (High, Medium, and Low)
- Education Level (Higher, Secondary, Primary)
Difference between Nominal and Ordinal Data
| Nominal Data | Ordinal Data |
| Nominal data can’t be quantified, neither they have any intrinsic ordering | Ordinal data gives some kind of sequential order by their position on the scale |
| Nominal data is qualitative data or categorical data | Ordinal data is said to be “in-between” qualitative data and quantitative data |
| They don’t provide any quantitative value, neither we can perform any arithmetical operation | They provide sequence and can assign numbers to ordinal data but cannot perform the arithmetical operation |
| Nominal data cannot be used to compare with one another | Ordinal data can help to compare one item with another by ranking or ordering |
| Examples: Eye colour, housing style, gender, hair colour, religion, marital status, ethnicity, etc | Examples: Economic status, customer satisfaction, education level, letter grades, etc |
Quantitative Data
Discrete Data
Examples of Discrete Data :
- Total numbers of students present in a class
- Cost of a cell phone
- Numbers of employees in a company
- The total number of players who participated in a competition
- Days in a week
Continuous Data
Examples of Continuous Data :
- Height of a person
- Speed of a vehicle
- “Time-taken” to finish the work
- Wi-Fi Frequency
- Market share price
Difference between Discrete and Continuous Data
| Discrete Data | Continuous Data |
| Discrete data are countable and finite; they are whole numbers or integers | Continuous data are measurable; they are in the form of fraction or decimal |
| Discrete data are represented mainly by bar graphs | Continuous data are represented in the form of a histogram |
| The values cannot be divided into subdivisions into smaller pieces | The values can be divided into subdivisions into smaller pieces |
| Discrete data have spaces between the values | Continuous data are in the form of a continuous sequence |
| Examples: Total students in a class, number of days in a week, size of a shoe, etc | Example: Temperature of room, the weight of a person, length of an object, etc |
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