Data Set
A collection of related GIS data tables or layers, often analysed collectively to extract spatial patterns.
How do you define a Data Set?
A structured collection of linked data that is usually arranged in rows and columns and contains information about a certain topic or set of things is called a data set. A single record or observation is represented by each row in the data collection, and a specific attribute or variable is represented by each column.
Spatial data (points, lines, or polygons that represent geographic features) and related attribute data (names, values, or categories) can both be included in a data set in Geographic Information Systems (GIS). A data set of rivers, for instance, might contain fields like river name, length, and discharge rate in addition to each river's geometry, or its route on the map.
In many fields, data sets serve as the basis for data analysis, visualization, and decision-making because they offer well-structured and easily accessible information for a range of applications.
Related Keywords
A structured collection of data used for model testing, validation, and training is called a dataset in machine learning. For supervised learning, it usually consists of labels (output or target values) and features (input variables). Because they affect the model's capacity to recognize patterns, generate predictions, and generalize to new data, high-quality, well-prepared datasets are essential for creating accurate models.
Collections of data made publicly available by businesses, governments, and academic institutes are known as free public data sets. They cover a wide range of topics, including transportation, health, demography, climate, and geographic data, allowing businesses, developers, and academics to construct applications, evaluate trends, and make data-driven decisions without having to pay for licenses.
A structured collection of connected data, frequently arranged in databases, spreadsheets, or tables, is called a dataset. Financial transactions, satellite imagery, weather records, population data, and consumer feedback surveys are a few examples.
Data sets must be handled differently depending on whether they are semi-structured (like JSON or XML), unstructured (like text or photos), or structured (like tables).