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https://github.com/SidharthMacherla/conjurer

R Package to generate synthetic data.
https://github.com/SidharthMacherla/conjurer

dummy-data-generator r rpackage synthetic-data synthetic-data-generation synthetic-dataset-generation synthetic-tabular-data

Last synced: about 2 months ago
JSON representation

R Package to generate synthetic data.

Host: GitHub
URL: https://github.com/SidharthMacherla/conjurer
Owner: SidharthMacherla
License: mit
Created: 2019-12-18T21:15:09.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2024-06-23T22:05:35.000Z (3 months ago)
Last Synced: 2024-06-23T23:22:08.781Z (3 months ago)
Topics: dummy-data-generator, r, rpackage, synthetic-data, synthetic-data-generation, synthetic-dataset-generation, synthetic-tabular-data
Language: R
Homepage: https://foyi.co.nz/documentation-of-r-package-conjurer/
Size: 211 KB
Stars: 9
Watchers: 3
Forks: 4
Open Issues: 12
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md

Awesome Lists containing this project

awesome-data-synthesis - conjurer - R Package to generate synthetic data. (Process-driven methods / Tabular)

README

        [![](https://www.r-pkg.org/badges/version/conjurer)](https://cran.r-project.org/package=conjurer)

[![](https://cranlogs.r-pkg.org/badges/grand-total/conjurer)](https://cran.r-project.org/package=conjurer)

[![Build Status](https://travis-ci.org/SidharthMacherla/conjurer.svg?branch=master)](https://travis-ci.org/SidharthMacherla/conjurer)

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/52cb239790ab41d2806108140ce36639)](https://app.codacy.com/manual/msidharthrasik/conjurer?utm_source=github.com&utm_medium=referral&utm_content=SidharthMacherla/conjurer&utm_campaign=Badge_Grade_Dashboard)

[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3687/badge)](https://bestpractices.coreinfrastructure.org/projects/3687)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5635615.svg)](https://doi.org/10.5281/zenodo.5635615)

# Documentation

The official documentation for **conjurer** is at [foyi](https://foyi.co.nz/documentation-of-r-package-conjurer/)

# Feedback

Please share your feedback and feature requests by filling in this [2 question survey](https://forms.gle/eyUskvvZqcYwG6C16)

>:bell:If you are looking for an easy to use GUI for generating synthetic data please check out the app [*UnReal*](https://www.foyi.co.nz/posts/apps/apps_unreal/) :tada:

## Author

Sidharth Macherla

## License

This project is licensed under the MIT License - see the

[LICENSE](https://github.com/SidharthMacherla/conjurer/blob/master/LICENSE) file for details.

## Statement of Need

Data science applications need data to prototype and demonstrate to potential clients. For such purposes, using production data is a possibility. However, it is not always feasible due to legal and/or ethical considerations. This resulted in a need for generating synthetic data. This need is the key motivator for the package **conjurer**.

Data across multiple domains are known to exhibit some form of seasonality, cyclicality and trend. Although there are synthetic data generation packages currently available, they focus primarily on synthetic versions of microdata containing confidential information or for machine learning purposes. There is a need for a more generic synthetic data generation package that helps for multiple purposes such as forecasting, customer segmentation, insight generation etc. This package **conjurer** helps in generating such synthetic data.

## Installation instructions

Firstly, install R from [here](https://cloud.r-project.org/)

From the R console, install the package by using the following code

``` R

install.packages('conjurer')

```

## Example usage

The package page on CRAN(Comprehensive R Archive Network) is [here](https://cran.r-project.org/web/packages/conjurer/index.html). The reference manual is [here](https://cran.r-project.org/web/packages/conjurer/conjurer.pdf). The package vignette with the detailed documentation for usage with illustrative examples is [here](https://cran.r-project.org/web/packages/conjurer/vignettes/introduction_to_conjurer.html)

## Community guidelines

For guidelines regarding code contributions, refer to [CONTRIBUTING](https://github.com/SidharthMacherla/conjurer/blob/master/CONTRIBUTING.md). For guidelines on reporting security vulnerabilities, refer to [SECURITY](https://github.com/SidharthMacherla/conjurer/blob/master/SECURITY.md)