It is ratio; it has a natural zero and differences in values are meaningful.
A system diagram is known as a first level DFD (Level 0 DFD) A data flow diagram (DFD) is a graphical representation of the "flow" of data through an information system.
No, it is not.
ANOVA (Analysis of Variance) is used for interval and ratio level data because it relies on the assumption that the data is continuous and normally distributed, allowing for meaningful calculations of means and variances. Nominal and ordinal data do not meet these criteria; nominal data consists of categorical variables without a numerical relationship, while ordinal data has a ranked order but does not provide equal intervals between ranks. Consequently, ANOVA is not appropriate for these data types as it cannot accurately assess differences in means or variances.
Aggregating it may raise its classification level.
Aggregating it may raise its classification level
Granularity refers to the level of detail of the data stored fact tables in a data warehouse. High granularity refers to data that is at or near the transaction level. Data that is at the transaction level is usually referred to as atomic level data. Low granularity refers to data that is summarized or aggregated, usually from the atomic level data. Summarized data can be lightly summarized as in daily or weekly summaries or highly summarized data such as yearly averages and totals.
Hi, High level Data modelling is the process of define and analyze the data requirement.
Data fields
three levels of data abstraction are: 1. Physical level : how the data is stored physically and where it is stored in database. 2. Logical level : what information or data is stored in the database (like what is the datatype or what is format of data. 3.View level : end users work on view level. if any amendment is made it can be saved by other name. for the database to be usable it must retrieve data efficently.this efficency led designer to use complex data structure in the database
three levels of data abstraction are: 1. Physical level : how the data is stored physically and where it is stored in database. 2. Logical level : what information or data is stored in the database (like what is the datatype or what is format of data. 3.View level : end users work on view level. if any amendment is made it can be saved by other name. for the database to be usable it must retrieve data efficently.this efficency led designer to use complex data structure in the database
three levels of data abstraction are: 1. Physical level : how the data is stored physically and where it is stored in database. 2. Logical level : what information or data is stored in the database (like what is the datatype or what is format of data. 3.View level : end users work on view level. if any amendment is made it can be saved by other name. for the database to be usable it must retrieve data efficently.this efficency led designer to use complex data structure in the database
how data are stored would be in a physical layer
There is an inverse relationship between value of money and the price level. So if the value of money is low, then the price level is high or if the value of money is high, then the price level is low.
implementation level
external level
Elementary data link protocols must agree at the most rudimentary level. The data frame must be constructed from this level, and all protocols must agree.
dictionary