Statistics

Provide various statistical measures for your data

Introduction

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

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
``````

Documentation

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:

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

Properties

The package supports the following statistical measures:

namedescription
`min`Returns the first minimum value of a data series.
`max`Returns the first maximum value of a data series.
`mode`Returns the first most common value of a data series.
`mean`Returns the average value of a data series.
`median`Returns the middle value that divides a data series into 2 equal halves when ordering.
`lowerQuartile`Returns the first quartile of the quartiles that divides a data series into 4 equal group when ordering. The second quartile is the median.
`upperQuartile`Returns the third quartile.
`percentile_X`Returns the value that X percentage of a data series fall below when ordering. X is an integer from 0 to 100.
`meanDeviation`Returns the mean absolute deviation value of a data series in the formula of Sum of absolute(elementValue - mean) / length of data series.
`popStdDeviation`Returns 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).
`samStdDeviation`Returns 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)).

Support

Please use our forum if you need support, by this way other people can benefit as well. If the support request need privacy, you may send email to us at support@koolreport.com.

User Reviews
(1)
Denis Ivanov
on Feb 1, 2018

It works great! Keep up your good work.