Want this question answered?
two methods of presenting data 1.tabular form 2.pictorial form
What are the two main methods of primary data collection processes
By writing in C code the mathematical methods for finding the mean, median and mode of your data taking into account how your data is stored (eg an array; two separate arrays one with data and the other with frequencies; a two dimensional array containing both data and frequencies; an array of structures containing the data instead of arrays; a linked list of structures; etc).
To integrate has two separate meanings. It might mean simply that different sets of data are put together. It can also refer to a mathematical process which is part of the calculus.
what are the two methods of collecting information
Error checking, ie. checksum
Relational model helps in logical relation between two dimensional tables . It maintains data integrity and eliminates data redundancy. Earlier methods involved redundant set of data for maintaining relations between set of data.
Information security has two positive ideals for this area: Integrity and Availability. For data these ideas relate to the right quality of data at the right time requested. An opposite of data Integrity is unwanted data alteration. An opposite of data availability is unwanted data destruction. Unwanted data alteration damages the useful quality of the information. Unwanted data destruction prevents timely access to use of the information. The methods of achieving unwanted data modification or damage may vary.
two methods of presenting data 1.tabular form 2.pictorial form
MD5 and SHA
-md5 -hsa-1
What are the two main methods of primary data collection processes
Integrity Database integrity means the correctness and consistency of data. It is another form of database protection. Security means that the data must be protected from unauthorized operations. Integrity is related to the quality of data. Integrity is maintained with the help of integrity constraints. These constraints are the rules that are designed to keep data consistent and correct. They act like acheck on the incoming data. It is very important that a database maintains the quality of the data stored in it.DBMS provides several mechanisms to enforce integrity of the data. Types of Integrity Two types of data integrity are as follows: Entity Integrity The entity integrity is a constraint on primary key value. It states that any attribute of a primary keycannot contain null value. If primary key contains null value, it is not possible to uniquely identify a record in a relation. Entity integrity ensures that it should be easy to identify each entity in the database. Referential Integrity The referential integrity is a constraint on foreign key value. It states that if a foreign key exists in a relation, the foreign key value match the primary key value of some tuple in its parent relation. Otherwise the foreign key value must be completely null.
The concept of security in a database involves protecting the system and its data from unauthorized access, alteration, or destruction. This ensures that only authorized users have access to the database and that the data remains confidential. On the other hand, integrity refers to maintaining the accuracy, consistency, and reliability of the data within the database. An important aspect of integrity is ensuring that data is not modified or accessed inappropriately, maintaining its quality and reliability. Overall, security measures help maintain data integrity, as unauthorized access or modifications can compromise the integrity of the data within the database system.
Two methods of secondary research are literature reviews, which involve analyzing existing studies and data, and meta-analysis, which involves pooling and analyzing data from multiple studies to draw overall conclusions.
anode and cathode
Data inconsistency exists when different and conflicting versions of the same data appear in different places. Data inconsistency creates unreliable information, because it will be difficult to determine which version of the information is correct. (It's difficult to make correct - and timely - decisions if those decisions are based on conflicting information.) Data inconsistency is likely to occur when there is data redundancy. Data redundancy occurs when the data file/database file contains redundant - unnecessarily duplicated - data. That's why one major goal of good database design is to eliminate data redundancy. In the below link you can find more details. http://opencourseware.kfupm.edu.sa/colleges/cim/acctmis/mis311/files%5CChapter1-Database_Systems_Topic_2_Introducing_Databases.pdf