Spartial data shows specific location of geographical phenomena in terms of coordinates whilst attribute data is non-spatial in that it does not use coordinates but only show what is on a point, line and polygon.
by Wilkins Nyamangunda at Midlands State University(2:1)
Both graphs are used to summarize data. Pareto chart is used to establish differences between different groups of data and will assign relative importance to the different groups of data. Histogram is a data distribution graph that will determine if the particular set of data is symmetric or not.
A sample consists of a small portion of data when a population is taken from a large amount.
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In a database management system (DBMS), an attribute may describe a component of the database, such as a table or a field, or may be used itself as another term for a field. Commonly we can say that an attribute is a "propety" of a database field or its a characteristic or facet of the data field..
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
Metadata is the data that describes information: language, who it is for, the source etc. Attribute data is composed of the attribute name and attribute value for example: "Color=red" where color is the attribute name and red is the attribute value.
Non-transitive dependency occurs in a database when a relationship between three or more attributes does not imply a direct relationship between all of them. Specifically, if attribute A is dependent on attribute B, and attribute B is dependent on attribute C, it does not necessarily mean that attribute A is dependent on attribute C. This type of dependency can complicate database normalization and design, as it can lead to redundancy and anomalies in data management. Understanding non-transitive dependencies is crucial for ensuring data integrity in relational databases.
difference in differences uses panel data to measure the differences
Spatial data refers to information that is related to the physical location and shape of geographic features on the Earth's surface, such as coordinates and boundaries. Attribute data, on the other hand, describes the characteristics or properties of these geographic features, such as population, land use, or temperature. The combination of spatial and attribute data allows for the comprehensive analysis and visualization of geographic information.
Spatial data shows specific location of geographic phenomena in terms of coordinate whilst attribute data is non-spatial in that it does use coordinates but show what is on a point, line and polygon.
Attribute data can be defined differently depending on the aspect applied,in GIS(geographical information System) attribute data defined as those data that can be stored in tabular form(table).
difference in differences uses panel data to measure the differences
Range
An attribute describes something. A variable is something that can take on many values. An example in statistics for an attribute could be for a set of data the diameter. The attribute of the data could be the mean is 5 and standard deviation is 1/2. This describes the data. An example of a variable in statistics for the same set of data above is the diameter reading itself. The diameter will vary and is measured for each member of the population or sample, and may be 4.9, 5.1, 4.95, 5.05, etc. The value can vary on each part.
A cell attribute is the way in which the data inside the cell is displayed e.g. currency or percentage.
Data refers to raw facts and figures, while a data element is a unique unit of data that represents a specific attribute or characteristic. Data elements are used as building blocks to organize and structure data within a database or system.
The prime attribute in database design is a key attribute that uniquely identifies each record in a table. It is crucial for maintaining data integrity and ensuring efficient data retrieval and manipulation. The prime attribute serves as the primary key in a database table, allowing for the establishment of relationships between different tables and enabling the implementation of data constraints and indexing for faster query processing. Overall, the prime attribute plays a vital role in shaping the structure and functionality of a database system by facilitating data organization, retrieval, and maintenance.