> For the complete documentation index, see [llms.txt](https://docs.exploratory.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.exploratory.io/analytics/factanal.md).

# Factor Analysis

## Factor Analysis

Runs factor analysis, which tries to explain number of variables as observable results of potentially lower number of unobserved variables, called factors.

### Input Data

Input data should contain following columns.

* Variable Columns - Set of observed numeric columns.
* Color By - Value of the column is used for color of each dot on the Biplot.
* Label Column - Value of the column is shown on the Biplot as the label of each dot, or as an item on the mouse-over balloon.

## Properties

* Sample Data Size - Number of rows to sample before running factor analysis.
* Factor Analysis
  * Number of Factors
  * Factoring Method
  * Type of Scores
  * Type of Rotation
* Data Preprocessing
  * Random Seed - Seed used to generate random numbers. Specify this value to always reproduce the same result.

### R Package

Factor Analysis Analytics View uses the [psych](https://cran.r-project.org/web/packages/psych/index.html) R Package under the hood.

### Exploratory R Package

For details about `psych` usage in Exploratory R Package, please refer to the [github repository](https://github.com/exploratory-io/exploratory_func/blob/master/R/factanal.R)


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