statistics 1.0.7

Statistics package for easy and efficient data manipulation with many built-in mathematical functions and tools.

statistics

Statistics package for easy and efficient data manipulation with many built-in mathematical functions and tools.

API Documentation

See the API Documentation for a full list of functions, classes and extension.

Usage

Numeric extension:

import 'package:statistics/statistics.dart';

void main() {
  var ns = [10, 20.0, 30];
  print('ns: $ns');

  var mean = ns.mean;
  print('mean: $mean');

  var sdv = ns.standardDeviation;
  print('sdv: $sdv');

  var squares = ns.square;
  print('squares: $squares');
}

OUTPUT:

ns: [10, 20.0, 30]
mean: 20.0
sdv: 8.16496580927726
squares: [100.0, 400.0, 900.0]

Statistics

The class Statistics, that have many pre-computed statistics, can be generated from a numeric collection:

import 'package:statistics/statistics.dart';

void main() {
  var ns = [10, 20.0, 25, 30];
  var statistics = ns.statistics;

  print('Statistics.max: ${ statistics.max }');
  print('Statistics.min: ${ statistics.min }');
  print('Statistics.mean: ${ statistics.mean }');
  print('Statistics.standardDeviation: ${ statistics.standardDeviation }');
  print('Statistics.sum: ${ statistics.sum }');
  print('Statistics.center: ${ statistics.center }');
  print('Statistics.median: ${statistics.median} -> ${statistics.medianLow} , ${statistics.medianHigh}');
  print('Statistics.squaresSum: ${ statistics.squaresSum }');

  print('Statistics: $statistics');
}

OUTPUT:

Statistics.max: 30
Statistics.min: 10
Statistics.mean: 21.25
Statistics.standardDeviation: 22.5
Statistics.sum: 85.0
Statistics.center: 25
Statistics.median: 22.5 -> 20.0 , 25
Statistics.squaresSum: 2025.0
Statistics: {~21.25 +-22.5 [10..(25)..30] #4}

CSV

To generate a CSV document, just use the extension generateCSV in your data collection. You can pass the parameter separator to change the value separator (default: ,).

import 'package:statistics/statistics.dart';

void main() {
  var categories = <String, List<double?>>{
    'a': [10.0, 20.0, null],
    'b': [100.0, 200.0, 300.0]
  };

  var csv = categories.generateCSV();
  print(csv);
}

OUTPUT:

#,a,b
1,10.0,100.0
2,20.0,200.0
3,0.0,300.0

Tools

Parsers:

• parseDouble
• parseInt
• parseNum
• parseDateTime
• All parses accepts a dynamic value as input and have a default value parameter def.

Formatters:

• formatDecimal
• DateTimeExtension.formatToYMD
• DateTimeExtension.formatToYMDHm
• DateTimeExtension.formatToYMDHms
• DateTimeExtension.formatToYMDHmZ
• DateTimeExtension.formatToYMDHmsZ

Extension:

• StringExtension.splitLines
• StringExtension.splitColumns
• StringExtension.containsAny
• IterableIterableExtension.toKeysMap
• IterableStringExtension.filterLines
• IterableStringExtension.toIntsList
• IterableStringExtension.toDoublesList
• IterableStringExtension.toNumsList

See the API Documentation for a full list of functions, extension and classes.

Test Coverage

This package aims to always have a high test coverage percentage, over 95%. With that the package can be a reliable tool to support your important projects.

Source

The official source code is hosted @ GitHub:

• https://github.com/gmpassos/statistics

Features and bugs

Please file feature requests and bugs at the issue tracker.

Contribution

Any help from the open-source community is always welcome and needed:

• Found an issue?
  • Please fill a bug report with details.
• Wish a feature?
  • Open a feature request with use cases.
• Are you using and liking the project?
  • Promote the project: create an article, do a post or make a donation.
• Are you a developer?
  • Fix a bug and send a pull request.
  • Implement a new feature.
  • Improve the Unit Tests.
• Have you already helped in any way?
  • Many thanks from me, the contributors and everybody that uses this project!

If you donate 1 hour of your time, you can contribute a lot, because others will do the same, just be part and start with your 1 hour.

Author

Graciliano M. Passos: gmpassos@GitHub.

License

Apache License - Version 2.0

See Also

Take a look at SciDart, an experimental cross-platform scientific library for Dart by Angelo Polotto.