What type of information is typically used in a line chart?

A line chart is specifically designed to display data points in a time-ordered sequence, making it particularly effective for illustrating trends over time. This type of chart allows viewers to easily observe how values change with respect to a continuous variable, which is often time.

In a time series graph, each point represents the value of a particular measurement at a specific moment, which helps in analyzing patterns such as increases, decreases, and cycles in the data. For example, a line chart can be used to track stock prices over days, months, or years, clearly showing changes and trends.

Qualitative data, nominal data, and composite data do not align well with the primary function of line charts. Qualitative data typically entails descriptive information that lacks numerical measurement, while nominal data consists of categories without any inherent order. Composite data combines various types of data, but it may not suit a line chart's focus on continuous changes over time. Thus, time series data is the most appropriate type for representation in a line chart.