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Releases: DistrictDataLabs/cultivar

Version 0.2

27 Jan 21:30
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Version 0.2 Pre-release
Pre-release

This minor update gave a bit more functionality to the MVP prototype, even though the version was intended to have a much more impactful feature set. However after some study, the workflow is changing, and so this development branch is being pruned and deployed in preparation for the next batch. The major achievement of this version is the documentation that discusses our approach, as well as the dataset search and listing page that is now available.

Deployed: Wednesday, January 27, 2016
Contributors: Benjamin Bengfort, Rebecca Bilbro

Changes

  • Major updates to documentation and deployment on RTFD.
  • Research into auto-analysis features/functionality (pandas, messytable)
  • Reskinning of API docs to YETI theme
  • Basic listing view with pagination of all datasets
  • Navbar links when logged in and hero page buttons
  • Table view of recent uploads
  • Inclusion of Google Analytics

Version 0.1

23 Oct 20:23
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Version 0.1 Pre-release
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MVP prototype type of a dataset uploader and management application. This application framework will become the basis for the research project in the DDL Multidimensional Visualization Research Labs. For now users can upload datasets, and manage their description, as well as preview the first 20 rows.

Deployed: Tuesday, October 13, 2015
Contributor: Benjamin Bengfort

Changes

  • RESTful API built with Django REST Framework
  • Standard Django app deployed
  • Social Authentication with @districtdatalabs.com email address and Google OAuth2
  • Upload CSV files to S3 and parse them
  • Display uploaded CSV files in a data management page
  • Edit information in Markdown about the files
  • Hash every CSV file (prevent duplicates) and parse for dimensions/rows.