Data refers to known facts that can be recorded and have implicit meaning. There are two main types of data: qualitative and quantitative. Qualitative data includes nominal, which provides no quantitative value, and ordinal, which assigns a relative position. Quantitative data can be statistically manipulated and represented numerically, including discrete values that are countable and continuous values that can be divided into smaller levels.

3. What is a Data?
 Data means known facts which can be recorded
and have implicit meaning.
 Data is used as a input for a computer system.
 Data is a unprocess fact figure.
 Ex:-jay,1234,0(circle)

4. Qualitative Data
I. Nominal data
II. Ordinal data
Quantitative Data
I. Discrete data
II. Continuous data

5. Qualitative Data
 This is the data that cannot be measured in the form of
numbers.
 This data consists of audio, images, symbols or text.
 Two types of qualitative data:-
I. Nominal data:-Nominal data don’t provide any
quantitative value, neither we can perform any
arithmetical operation. Ex:-Nationality (Indian,
German, American)
II. Ordinal data:-The ordinal data is qualitative data for
which their values have some kind of relative
position.Ex:-Letter grades in the exam (A, B, C, D,
etc.)

6. Quantitative Data
 Quantitative data can be used for statistical
manipulation
 These data can be represented on a wide variety of
graphs and charts such as bar graphs, histograms,
scatter plots, boxplot, pie charts, line graphs, etc...
 Two types of quantitative data:-
I. Discrete Data:-The discrete data are countable and
have finite values; their subdivision is not possible.
These data are represented mainly by a bar graph,
number line, or frequency table.
II. Continuous Data:- Continuous data represents
information that can be divided into smaller levels.
The continuous variable can take any value within a
range.