Dataset
- A dataset is a structured compilation of related data arranged for easy access, management, and analysis.
- Researchers use datasets to identify patterns and trends and to support conclusions and decisions.
- Typical datasets include observations with associated attributes (for example: age, gender, product name, or price).
Definition
Section titled “Definition”A dataset is a collection of data that is organized and structured so that it can be easily accessed, managed, and analyzed. Datasets are typically used in the fields of science, engineering, and statistics to study phenomena, test hypotheses, and develop models and theories.
Explanation
Section titled “Explanation”Datasets group related observations and their attributes to make large amounts of information usable for analysis. By organizing data into a structured form, individuals can quickly access and manage records, apply analytical methods, and uncover patterns or trends. Analyses of datasets enable researchers and professionals to draw meaningful conclusions, test hypotheses, and inform decision making.
Examples
Section titled “Examples”Height and weight dataset
Section titled “Height and weight dataset”A collection of data on the height and weight of a group of individuals. This dataset might include information such as the person’s age, gender, and other relevant characteristics. By analyzing this dataset, researchers might be able to identify patterns and trends in the data, such as the relationship between height and weight or the effects of age on these variables.
Product prices dataset
Section titled “Product prices dataset”A collection of data on the prices of different products sold at a particular store. This dataset might include information such as the product’s name, brand, size, and other relevant characteristics. By analyzing this dataset, researchers might be able to identify patterns and trends in the data, such as the relationship between price and product characteristics or the effects of competition on prices.
Use cases
Section titled “Use cases”- Studying phenomena, testing hypotheses, and developing models and theories in science, engineering, and statistics.
- Supporting analysis that leads to insights and informed decisions by researchers, scientists, and other professionals.
Related terms
Section titled “Related terms”- Science
- Engineering
- Statistics
- Hypothesis
- Model
- Theory