DataFramer is an interactive tool for examining single-dimensional overviews of high-dimensional data sets and for planning out hypothesis to pursue during the course of later exploratory analysis.
- Focuses users on examining the distribution of each of the variables in the dataset in order to understand the fundamentals of the data set and catch important basic errors.
- Encourages the planning of later phases of analysis and reduces flailing by enabling the user to pose questions and identify which variables in the data can be used to answer the question, or identify which questions cannot be answered with the given dataset.
DataFramer is hosted at http://persimmon.ischool.berkeley.edu:8880
If you would like to run DataFramer locally, download and install the
meteor from the top-level directory to run a
DataFramer server locally. Then navigate your browser to the given URL.
Developing for DataFramer requires Meteor.