Making Data Science Easy for Everybody

Open science is the concept of freely sharing data to the public. With large-scale data becoming more easily accessible to everyone, it is important to create a platform where the public can visit to analyze and interpret data. And although open science increases the accessibility of data and reports to the public, it does not reduce readers’ language barriers or increase statistical literacy. In order to responsibly promote the use of data among the public, this project aims to create a platform that allows users to answer a series of data-relevant questions, so it can automatically build code to analyze and visualize data. The platform will then provide the results using plain language and visualizations rather than test statistics. In other words, our aim is to create a platform that makes data science easy for everybody.

Faculty Supervisor:

Alison Chasteen

Student:

Veronica Bergstrom

Partner:

Dacture

Discipline:

Psychology

Sector:

Professional, scientific and technical services

University:

University of Toronto