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What is the difference between a data table and a ratio table?
A ratio table is more like a pattern, where a data table has graphs.
What is the difference between a data table and a graph?
A data table is a list of statistics - a graph is a physical representation of the data.
What is the difference between interval data analysis and ratio data analysis?
Data comes in various sizes and shapes. Two of them are Interval and Ratio. Interval is a measurement where the difference between two values is meaningful and follows a linear scale. For example: in physics, temperature 0.0 on either F or C does not mean 'no temperature'; in biology, a pH of 0.0 does not mean 'no acidity'. Interval data is continuous data where differences are interpretable, ordered, and constant scale, but there is no 'natural' zero. Ratio is the relation in degree or number between two similar things or a relationship between two quantities, ordered, constant scale, with natural zero. Ratio data is interpretable. Ratio data has a natural zero. A good example is birth weight in kg. The distinctions between interval and ratio data are slight. Certain specialized statistics, such as a geometric mean and a coefficient of variation can only be applied to ratio data.
What is the difference between OLAP and data mining?
difference between Data Mining and OLAP
What is the difference between standard normal distribution table and the t distribution table?
standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
What is the difference between a data table and a ratio table?
A ratio table is more like a pattern, where a data table has graphs.
What is the difference between a data table and a graph?
A data table is a list of statistics - a graph is a physical representation of the data.
What is the difference between a table and a figure?
a table shows lists of data, a figure represents data in graphic form
What is the difference between interval data analysis and ratio data analysis?
Data comes in various sizes and shapes. Two of them are Interval and Ratio. Interval is a measurement where the difference between two values is meaningful and follows a linear scale. For example: in physics, temperature 0.0 on either F or C does not mean 'no temperature'; in biology, a pH of 0.0 does not mean 'no acidity'. Interval data is continuous data where differences are interpretable, ordered, and constant scale, but there is no 'natural' zero. Ratio is the relation in degree or number between two similar things or a relationship between two quantities, ordered, constant scale, with natural zero. Ratio data is interpretable. Ratio data has a natural zero. A good example is birth weight in kg. The distinctions between interval and ratio data are slight. Certain specialized statistics, such as a geometric mean and a coefficient of variation can only be applied to ratio data.
What is the difference between a data chart and a data table?
A chart is graphical, like a pie chart or a bar chart or a column chart. A table is an organised set of figures laid out in a table. You might use figures in the table to make a chart.
Interval and ratio data examples?
Interval Data: Temperature, Dates (data that has has an arbitrary zero) Ratio Data: Height, Weight, Age, Length (data that has an absolute zero) Nominal Data: Male, Female, Race, Political Party (categorical data that cannot be ranked) Ordinal Data: Degree of Satisfaction at Restaurant (data that can be ranked)
What is the difference between projecting and joining?
projecting: manipulating data to eliminate columns in a table. Joining: manipulating data to combine two or more tables.
Difference between table and index in sql?
A table is a collection of data that is organized into rows and columns. An index is a data structure that improves the performance of data fetch operations on a table. A table can exist as a standalone component but an index cannot. Indexes are built on top of tables and cannot exist without tables.
What is the difference between normalization and denormalization?
Normalizing data means eliminating redundant information from a table and organizing the data so that future changes to the table are easier. Denormalization means allowing redundancy in a table. The main benefit of denormalization is improved performance with simplified data retrieval and manipulation.
What are the key differences between presenting data in a table vs a figure?
The key difference between presenting data in a table and a figure is that a table organizes data in rows and columns for easy comparison, while a figure visually represents data through graphs, charts, or images to show trends or relationships. Tables are more precise and detailed, while figures provide a quick visual summary of the data.
What is the difference between delete and truncate statement in SQL Database?
Delete statement deletes only the data from the table but you can apply some condition and only part of the data can be deleted. Truncate empties entire table. Drop deletes the table itself.
What is the need of rdbms?
A DBMS stores data in a table where the entries are filed under a specific category and are properly indexed. This allowed programmers to have a lot more structure when saving or retrieving data. A relational database contains data in more than one table. Each table contains a database that is then linked to other tables with respect to their relationships. Read more: Difference Between DBMS and RDMS | Difference Between | DBMS vs RDMS http://www.differencebetween.net/technology/difference-between-dbms-and-rdms/#ixzz1eJUZkRgz
