Types of Quantitative Data

Quantitative data is data that can be measured numerically. Things that can be measured precisely -- rather than through interpretation -- such as the number of attendees at an event, the temperature in a given location, or a person's height in inches can be considered quantitative data.

Given that the qualitative/quantitative distinction applies to both data and analysis, can't we use either kind of analysis on either kind of data?

float stores floating-point values, that is, values that have potential decimal places int only stores integral values, that is, whole numbers So while both are 32 bits wide, their use (and representation) is quite different.

Quantitative data is any data that is in numerical form. It is often compared to qualitative data that includes information expressed in a natural language such as English or Japanese. The following are common types of quantitative data.

All social research deals with meaning - only the ways in which this is done differs between approaches. The difference between qualitative and quantitative research is that the former uses qualitative methods and the latter uses quantitative methods. These methods enable different kinds of research.

Quantitative data is data that can be measured numerically. Things that can be measured precisely -- rather than through interpretation -- such as the number of attendees at an event, the temperature in a given location, or a person's height in inches can be considered quantitative data.

Quantitative data is based upon statistics, while qualitative reports contain anecdotal, or casual, observations. By reviewing such information, you can quickly identify issues that are impacting your business's productivity.

Quantitative data are any quantifiable information that can be used for mathematical calculations and statistical analysis, such that real-life decisions can be made based on these mathematical derivations.