Statistics

Overview #

Talking about data, we also talk about statistics because we learn about data through statistics. The Statistics package allows you to compute basic and advanced statistical measures for columns of your data. The basic measures could be min, max, mean, median, etc. The advanced measures are, for example, lowerQuartile, popStdDeviation and others.

Installation #

By downloading .zip file #

  1. Download
  2. Unzip the zip file
  3. Copy the folder statistics into koolreport folder so that look like below
koolreport
├── core
├── statistics

By composer #

composer require koolreport/statistics

Quick start #

In your report's setup page, use the process \koolreport\statistics\Statistics with an array parameter in the type of '{{statistical measure}}' => '{{array of column names}}'

<?php
//MyReport.php
use \koolreport\statistics\Statistics;

class MyReport extends \koolreport\KoolReport
{
    ...
    function setup()
    {
        $this->src('sales')
        ->pipe(new Statistics(array(
            'min' => array('2003'),
            'max' => array('2003'),
            'mean' => array('2003', '2004'),
            'median' => array('2003', '2004', '{{all}}'),
            'lowerQuartile' => array('2005'),
            'upperQuartile' => array('2005'),
            'meanDeviation' => array('{{all}}'),
            'stdDeviation' => array('{{all}}'),
            'percentile_10' => array('{{all}}'),
            'percentile_90' => array('{{all}}'),
        )))
        ->pipe($this->dataStore('salesYearMonthStatistics'));
    }
}

Then in your view, you could use the utility StatisticsReader to extract the measures:

<?php
    //MyReport.view.php:
    use \koolreport\statistics\StatisticsReader;
    
    $stats = StatisticsReader::read($this->dataStore('salesYearMonthStatistics'));

    echo $stats['min']['2003'];
    echo $stats['median']['2004'];
    echo $stats['percentile_90']['{{all}}'];
?>

Properties #

The package supports the following statistical measures:

namedescription
minReturns the first minimum value of a data series.
maxReturns the first maximum value of a data series.
modeReturns the first most common value of a data series.
meanReturns the average value of a data series.
medianReturns the middle value that divides a data series into 2 equal halves when ordering.
lowerQuartileReturns the first quartile of the quartiles that divides a data series into 4 equal group when ordering. The second quartile is the median.
upperQuartileReturns the third quartile.
percentile_XReturns the value that X percentage of a data series fall below when ordering. X is an integer from 0 to 100.
meanDeviationReturns the mean absolute deviation value of a data series in the formula of Sum of absolute(elementValue - mean) / length of data series.
popStdDeviationReturns the population standard deviation value of a data series in the formula of Square root of (sum of square(elementValue - mean) / length of data series).
samStdDeviationReturns the sample standard deviation value of a data series in the formula of Square root of (sum of square(elementValue - mean) / (length of data series - 1)).

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