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I think this type of inference is by looking at the data, i.e., there is no real relationship between the tables (through Primary and Foreign keys), but when you analyze the data in a table you are able to infer that there is a relationship.
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A way of showing your data in pictorial form?
If you have written a formula you can drag it down or across other cells this is known as
What is the difference between relation and table in data base?
Table is where the data is stored and in a well designed schema a table represents some real world object such as CUSTOMER, ORDER, etc., Now the real world objects have relationships. For example, a CUSTOMER has many ORDERS. To represent this relationship a database relationship was invented.
What is median in the set of data?
The median in a set of data, would be the middle item of the data string... such as: 1,2,3,4,5,6,7 the Median of this set of data would be: 4
Is the process of comparing data with a set of rules or values to find out if the data is correct?
Data validation.
What is the difference between ado rdo and dao?
ADO is active x data object. It is used to access database with the help of data controls and objects as well. it is an extended form of RDO and DAO. RDO is remote data object which is used to access server site data. data in this case reside on the sql server. and we use sql queries to access data. in this we write a sql command and then squ server processes it and gives back the result. DAO is data access object. it is used to access data with the help of program and some data controls. it provides an extention to data controls and data bound controls. DAO helps in accessing data with various conditions or quries.
What is explicit data and implicit data?
Explicit data is data that is clearly stated or defined, while implicit data is implied or hinted at. Explicit data is typically straightforward and directly provided, whereas implicit data requires context or interpretation to understand its meaning. In the context of programming, explicit data is data that is clearly declared and specified, while implicit data is data that is inferred or derived.
Who creates and maintains data dictionary?
Data dictionary is typically created and maintained by data architects or database administrators in an organization. They are responsible for defining the data elements, their relationships, and metadata attributes to ensure consistency and accuracy of the data across systems.
What do you mean by data in dbms?
known facts that can have implicit meaning is called data in other words data is the collection element that can access or performing it
Infer why it is important to record data as they are collected?
So they won't forget.
What is datamodel?
A collection of tools for describing Data Data relationships Data semantics Data constraints
16 The DBMS stores definitions of the data elements and their relationships in?
data dictionary
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
What is inferential data?
There is no inferential data. There is inferential statistics which from samples, you infer or draw a conclusion about the population. Hypothesis testing is an example of inferential statistics.
How do you design an evaluative question?
Open/direct type or disguised design to infer the data response.
What is the purpose of a data dictionary?
A data dictionary provides a comprehensive list of data elements with detailed descriptions, including their meaning, relationships, and structure. It serves as a reference guide to ensure consistency, accuracy, and understanding of data across an organization. It helps in data management, data integration, and data governance practices.
Why are graphs important in statistics?
Graphs visualize data allowing the brain to interpret a large data set quickly and infer trends.
How do you complete set of data that appears in a row in a data source?
Lost data can not be regained. There may be techniques to infer the missing data from the rest of that data but it would be domain specific and you may not be able to derive meaningful statistics from such a data set.
