Dataset: Difference between revisions
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{{MitoPedia O2k and high-resolution respirometry}} | {{MitoPedia O2k and high-resolution respirometry}} | ||
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Author: [[User:Weber Benno|Weber Benno]] 10:18, 11 February 2016 (CET) | |||
== Example == | == Example == |
Revision as of 11:18, 11 February 2016
Description
A dataset is a collection of data. In the context of databases a dataset represents the collection of entries in a database-table. In this table columns represent attributes and rows display the according values of the entries.
MitoPedia concepts: "MitoFit Quality Control System" is not in the list (MiP concept, Respiratory state, Respiratory control ratio, SUIT concept, SUIT protocol, SUIT A, SUIT B, SUIT C, SUIT state, Recommended, ...) of allowed values for the "MitoPedia concept" property.
MitoFit Quality Control System"MitoFit Quality Control System" is not in the list (Enzyme, Medium, Inhibitor, Substrate and metabolite, Uncoupler, Sample preparation, Permeabilization agent, EAGLE, MitoGlobal Organizations, MitoGlobal Centres, ...) of allowed values for the "MitoPedia topic" property.
Author: Weber Benno 10:18, 11 February 2016 (CET)
Example
A car dataset consists of 3 entries:
- Car A
- Car B
- Car C
For each of those cars the dataset includes information about the attributes:
- length
- weight
- color
The car names together with the attributes represent one dataset. A database can consist of several datasets. The car dataset could look like this:
name | length[m] | weight[kg] | color |
---|---|---|---|
Car A | 4.5 | 1234 | blue |
Car B | 3.2 | 879 | red |
Car C | 5.0 | 1000 | blue |
Terminology questions
- What is an experiment? Do we have to re-define the term 'experiment', or distinguish various modalities in using the term?
- ~ Gnaiger Erich 06:11, 3 February 2016 (CET)
- In order to avoid confusion I changed the given example of a dataset. It was not a well chosen example.
- Weber Benno 10:21, 3 February 2016 (CET)