Is Your Big Data Messy? We're Making an App for That
Researchers are creating software to ‘clean’ large datasets, making it easier for scientists and the public to use big data
- Cory Nealon for University at Buffalo February 16th, 2017
- Source: http://www.buffalo.edu/news/releases/2017/02/025.html
Like a teenager's bedroom, big data is often messy.
Malfunctioning computers, data entry errors and other hard-to-spot problems can skew datasets and mislead people — everyone from data scientists to data hobbyists — trying to draw conclusions from raw data.
Vizier, a software tool under development by a University at Buffalo-led research team, aims to proactively catch those errors.
The project, backed by a $2.7 million National Science Foundation grant, launched in January. Like Excel and other spreadsheet software, Vizier will allow users to interactively work with datasets.
