Difference between revisions of "Data sets and analyses"
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Revision as of 11:05, 13 November 2013
Rave uses two parallel mechanisms to store your information: Data sets and Analyses. Each of these is described on its own page.
The summary is:
- Data sets contain your actual data and the supporting information needed to interpret it. This includes the data itself, the name of each variable, the type of each variable (continuous, discrete, string, etc.), and the names of any functions that are used to calculate the data.
- Analyses contain supporting information related to how you are using your data sets. This includes things like a list of which rows of the data set are selected, what color to use to draw each row (in some visualizations), what ranges of the independent variables to use when running optimization, and what values of the independent variables define the "current point" for drawing continuous visualizations.
When you open Rave, you must load one or more data sets before you can do anything. A default analysis is created for you, and you can create additional Analyses as needed. Each Analysis stores information related to every one of your data sets. You do not need to create a new analysis for each data set you load.