Integration then Interrogation: Exploratory Data Analysis on a Deadline - 2022

Explore strategies for effective exploratory data analysis under time constraints in this informative talk by Dr. Rajarshi Guha. Learn about various EDA models, visualization techniques, and predictive modeling approaches for analyzing chemical biology datasets. Discover how to navigate challenges in high-throughput screening, data aggregation, and representation. Gain insights into the importance of programming skills and software development in turning exploratory data analysis into a valuable product. Understand the implications of time constraints on data analysis and learn practical tips for conducting efficient EDA in time-sensitive scenarios.

Introduction
What is Exploratory Data Analysis
Exploratory Data Analysis Strategies
Exploratory Data Analysis Models
Predictive Modeling
High throughput screening
Constraints
Implications
Visualization
Box plots
Violin plots
False view of data
Aggregation
Deployment
Distribution plots
Accessing relevant data
Exploring representations
Minimum spanning tree
Programming
Exploratory data analysis becomes a product
Software development and programming
Is it worth it