**Quantitative data** is information about quantities; that is, information that can be measured and written down with numbers. Some other aspects to consider about quantitative data:

- Focuses on numbers
- Can be displayed through graphs, charts, tables, and maps
- Data can be displayed over time (such as a line chart)

- Quantitative Data Visualization CatalogueProvides a list and examples of the many different ways to visualize data. While it is mostly quantitative, there are a couple examples of qualitative data visualization.

**Bar Graph**

A diagram in which the numerical values of variables are represented by the height or length of lines or rectangles of equal width.

**Histogram**

A diagram consisting of rectangles whose area is proportional to the frequency of a variable and whose width is equal to the class interval.

**Pie Chart**

A type of graph in which a circle is divided into sectors that each represent a proportion of the whole.

**Scatter Plot**

A scatter plot is a graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present.

**Qualitative data** is information about qualities; information that can't actually be measured. Some other aspects to consider about qualitative data:

- Represented through pictures that explore the data in a visual way
- Visual representations focus on the themes found in the data
- Can tell a story
- Can also be displayed graphically as a pie chart or bar graph, the same as quantitative data, however, this can be tricky and can be done incorrectly easily