Which type of data is often represented in bar charts or line graphs?

Quantitative data is numeric and can be measured, making it particularly suitable for graphical representations like bar charts and line graphs. Bar charts are effective for displaying the frequency of different values or ranges of values, while line graphs typically illustrate trends over time, showing how a quantitative variable changes in relation to another variable, often time.

Using quantitative data in these visual formats allows for easier interpretation of numerical trends, relationships, and comparisons across different data sets. For example, if you're analyzing sales data over several months, a line graph can effectively show the increase or decrease in sales, while a bar chart can effectively compare sales figures for different products.

Other types of data, such as qualitative, categorical, or textual data, do not lend themselves as naturally to these types of visualizations. Qualitative data relates to qualities or characteristics and is often better represented in methods that describe or summarize findings. Categorical data represent distinct categories and are sometimes visualized using bar charts too, but usually with respect to frequency rather than the measurement aspect, which is inherently numerical. Textual data consists of language and narratives, which are typically better displayed in formats like word clouds or text summaries rather than numerical graphs.