Box Plot
===========



Type
--------- 

transform

Class
--------- 

fire.nodes.graph.NodeBoxPlot

Fields
--------- 

.. list-table::
      :widths: 10 5 10
      :header-rows: 1

      * - Name
        - Title
        - Description
      * - title
        - Title
        - 
      * - titleColor
        - Title Color
        - 
      * - description
        - Description
        - 
      * - descriptionColor
        - Description Color
        - 
      * - chartColors
        - Chart Colors
        - 
      * - xlabel
        - X Label
        - 
      * - ylabel
        - Y Label
        - 
      * - maxValuesToDisplay
        - Max Values To Display
        - Maximum number of values to display in result.
      * - groupByColumn
        - Group By Column
        - 
      * - valueColumn
        - Value Column
        - 


Details
-------
BoxPlot details
+++++++++++++++


This node shows the five-number summary of a set of data including the minimum score, first (lower) quartile, median, third (upper) quartile, and maximum score.



Input
+++++++++++++++


* TITLE :- The title of a graph can be set here.
* X LABEL :- X-axis label can be set here.
* Y LABEL :- Y-axis label can be set here.
* MAX VALUES TO DISPLAY :- The total number of the data points can be selected from dataframe.
* GROUP BY COLUMN :- The column is selected from the drop-down list to perform group by operation and aggregate the values and plot them on X-axis.
* VALUE COLUMN :- The column(double datatype) is selected to plot boxes along Y-axis.


Output
+++++++++++++++

* The output result will contain **Min values, First quartile, Median, Third quartile, and max value**.


Example
+++++++++++++++

* This node can be used to visualize the distribution of quantitative values in a field. They are also valuable for comparisons across different

    categorical variables or for identifying outliers.


Examples
-------
Example Scenario:


Let's say you have a dataset of customer ages.


Configuration:


Value Column: Age

Output:


The box plot will show the distribution of customer ages. It will display the median age, the quartiles (25th and 75th percentiles), and any outliers.