Quantipy: Python survey data toolkit

Quantipy is an open-source data processing, analysis and reporting software project that builds on the excellent pandas and numpy libraries. Aimed at social and marketing research survey data, Quantipy offers support for native handling of special data types like multiple choice variables, statistical analysis using case or observation weights, dataset metadata and customizable reporting exports.

Note

We are currently moving our documentation and reorganizing it. Sorry for the lack of latest information.

Key features

  • Reads plain .csv, converts from Dimensions, SPSS, Decipher, Ascribe and Forsta

  • Open metadata format to describe and manage datasets

  • Powerful, metadata-driven cleaning, editing, recoding and transformation of datasets

  • Computation and assessment of data weights

  • Easy-to-use analysis interface

  • Automated data aggregation using Batch defintions

  • Structured analysis and reporting via Chain and Cluster containers

  • Export to SPSS, Dimensions ddf/mdd, table spreadsheets and chart decks

Contributors

Kerstin Müller, Alexander Buchhammer, Alasdair Eaglestone, James Griffiths

Birgir Hrafn Sigurðsson and Geir Freysson of datasmoothie