Advisor Information
Dr. Sachin Pawaskar
Location
Criss Library
Presentation Type
Poster
Start Date
1-3-2019 10:45 AM
End Date
1-3-2019 12:00 PM
Abstract
The field of Exploratory data analysis and Visualization is revolutionizing the way we perceive things. At times, Visualization is seen as a subset of Exploratory data analysis and then there are branches in Visualization, types, technologies, tools which makes one feel that Visualization is a standalone pillar. Either way, they both work well together to extract meaningful information from almost any kind of data. These fields can very well be the stepping stone for in-depth or conclusive research. They can direct research based on facts and observations rather than one’s intuition or even a brute force technique. This project was developed to address a specific problem but with an end goal of answering the bigger question of whether these methods can play a pivotal role in areas where they have not forayed a lot. The general procedure in identifying a human skeleton would be to carry out a DNA analysis and match it with records that the scientists have or measure every aspect of the skeletal bone and find an equivalent match based the dimensions of the bone. This process is not only time consuming, but it is also extremely cost intensive as well. So, this research project was carried out to understand how far Exploratory data analysis and Visualization can go in quickening the process of identification of skeletal bones. The idea of exploratory data analysis and visualization are conceived by using a JavaScript-based visualization library called D3.js and building an interactive dashboard using the Google data studio platform. This project has tried to highlight the advantages of using visualization to understand a complex dataset in a short interval of time.
Included in
Management Information Systems Commons, Other Computer Sciences Commons, Theory and Algorithms Commons
Use of Exploratory Data Analysis and Visualization in Identification of Commingled Human Remains
Criss Library
The field of Exploratory data analysis and Visualization is revolutionizing the way we perceive things. At times, Visualization is seen as a subset of Exploratory data analysis and then there are branches in Visualization, types, technologies, tools which makes one feel that Visualization is a standalone pillar. Either way, they both work well together to extract meaningful information from almost any kind of data. These fields can very well be the stepping stone for in-depth or conclusive research. They can direct research based on facts and observations rather than one’s intuition or even a brute force technique. This project was developed to address a specific problem but with an end goal of answering the bigger question of whether these methods can play a pivotal role in areas where they have not forayed a lot. The general procedure in identifying a human skeleton would be to carry out a DNA analysis and match it with records that the scientists have or measure every aspect of the skeletal bone and find an equivalent match based the dimensions of the bone. This process is not only time consuming, but it is also extremely cost intensive as well. So, this research project was carried out to understand how far Exploratory data analysis and Visualization can go in quickening the process of identification of skeletal bones. The idea of exploratory data analysis and visualization are conceived by using a JavaScript-based visualization library called D3.js and building an interactive dashboard using the Google data studio platform. This project has tried to highlight the advantages of using visualization to understand a complex dataset in a short interval of time.
Additional Information (Optional)
https://cora-analytics.herokuapp.com/