A group of related data is called a dataset. Datasets can consist of various types of data, such as numbers, text, or images, and are often organized in a structured format like tables or spreadsheets. They are commonly used in research, analysis, and data processing to derive insights or inform decision-making.
When it's related
A group of related data points represented by data markers is typically called a dataset. In graphical representations like charts or graphs, these data markers visually indicate specific values or measurements corresponding to different categories or intervals. Each marker helps to convey trends, patterns, or correlations within the data, making it easier to analyze and interpret the information.
information
The process of organizing and grouping data by related topics is called "categorization" or "classification." This involves sorting data into defined categories to enhance organization and facilitate easier retrieval and analysis. It helps in structuring information for better understanding and accessibility.
range
data series
data series
A group of related data elements treated as a unit is called a record. It typically represents a single entity or item and contains fields that store specific attributes or information about that entity. Records are often organized within a database to facilitate efficient data management and retrieval.
Because the data set is sometimes called a group
When it's related
The individual values that are on the chart itself are known as points or data points. A group of related values together make up a series.
A group of related buttons is called a panel or a bank.
data filter
Data about data are called metadata. See the related question "What are metadata?" for more details.
A group of related data points represented by data markers is typically called a dataset. In graphical representations like charts or graphs, these data markers visually indicate specific values or measurements corresponding to different categories or intervals. Each marker helps to convey trends, patterns, or correlations within the data, making it easier to analyze and interpret the information.
Data Series.
correlation