Skip to main content
The NCI Community Hub will be retiring in May 2024. For more information please visit the NCIHub Retirement Page:https://ncihub.cancer.gov/groups/ncihubshutdown/overview
close
  • Discoverability Visible
  • Join Policy Open/Anyone
  • Created 08 Sep 2021

Overview: Exploratory data analysis (EDA) is an important step in statistics that enables the validation, summarization, and hypothesis generation in relation to a dataset. This workshop will present multiple tools used to perform EDA tasks and show you how to apply them on three public clinical datasets. The workshop will also demonstrate tools that can assist you in exploration and characterization of your data sets.

Date:               Thursday, August 6, 2020
Time:               1:00 – 2:30 p.m.
Location:         WebEx

Presentaton:  here

Recording:  here

Instructor: George Zaki, PhD, bioinformatics manager at the Frederick National Laboratory for Cancer Research (FNLCR) and adjunct professor at the University of Maryland.

Questions? Contact the NCI Data Science Learning Exchange

Created by Clint Malone Last Modified Thu December 2, 2021 11:01 pm by Clint Malone