cardsort 0.2.3

Analyse data from open card sorting

Cardsort analysis

A package that helps UX researchers quickly analyse data from cardsorting exercises.

More precisely, it helps you to:

• Create dendrograms
• Extract user-generated category-labels
• Using data exports from kardsort.com

Table of Contents

• Documentation
• Quick start
  • Installation
  • Usage
  • Accepted data
  • Advanced usage
• Contributing
• License
• Credits

Documentation

cardsort.readthedocs.io

Quick start

Installation

$ pip install cardsort

Usage

cardsort can be used to create dendrograms and extract user-generated category-labels:

from cardsort import analysis
import pandas as pd

path = "example-data.csv" # data with columns: card_id, card_label, category_id, category_label, user_id
df = pd.read_csv(path) 

Create a dendrogram that summarizes user-generated clusters

analysis.create_dendrogram(df)

Output

Learn which category labels users gave to clusters

cards = ['Banana', 'Apple']
analysis.get_cluster_labels(df, cards)

Output

['Healthy snacks', 'Snacks', 'Fruits', 'Food']

Accepted data

• This package works with data exports from kardsort.com (Export format 'Casolysis Data (.csv) - Recommended')
• This data equals the following structure: card_id, card_label, category_id, category_label, user_id

Advanced usage

See documentation

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

cardsort was created by Katharina Kloppenborg and is licensed under the terms of the MIT license.

Credits

cardsort was created with cookiecutter and the py-pkgs-cookiecutter template.