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Introduction to Exploratory Data Analysis (EDA) with R

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Are you ready to unlock the potential of your data? This one-day workshop will introduce you to Exploratory Data Analysis (EDA)—an essential first step in any data analysis workflow. Designed for graduate-level learners without a computational background, this course will equip you with the foundational skills to summarize, visualize, and interpret data effectively. With a hands-on, beginner-friendly approach, you’ll practice these skills using real-world datasets and leave with the confidence to explore data independently.

Licence: Creative Commons Attribution 4.0 International

Keywords: Exploratory Data Analysis, R, Data Visualisation

Target audience: Graduate Students, Early Career Researcher

Resource type: lessons

Status: Active

Prerequisites:

Basic level of R

Learning objectives:

  • Understand the principles and importance of EDA.
  • Summarize datasets using descriptive statistics.
  • Visualize trends and distributions using R, including histograms, boxplots, and scatterplots.
  • Identify and address data issues like missing values and outliers.
  • Interpret patterns and anomalies to guide further analysis.

Date created: 2025-01-29

Date published: 2025-01-29

Authors: Priit Adler

Scientific topics: Bioinformatics

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