Exploratory data analysis with R – ONLINE

Exploratory data analysis with R – ONLINE

  • First session
    23/03/2022
    1:00 pm - 4:00 pm
  • Second session
    24/03/2022
    1:00 pm - 4:00 pm
  • Third session
    25/03/2022
    1:00 pm - 4:00 pm

Course details

statistics course | level: beginner | register now
for questions related to this event, contact kuleuven@flames-statistics.com
affiliation: KU Leuven


Abstract

Exploratory data analysis or “EDA" is an important step in analyzing your data. Generally speaking, any method of looking at data that does not include formal statistical modeling and inference falls under the term “exploratory data analysis”.

Exploratory data analysis can be classified in two methods. First, each method is either non-graphical or graphical. Second, each method is either univariate or multivariate (usually just bivariate). In this course, we are going to focus on:

Univariate non-graphical EDA
• Categorical and quantitative data overview
• Central tendency
• Spread
• Skewness and kurtosis

Univariate graphical EDA
• Histograms
• Boxplots
• Quantile normal plots

Multivariate non-graphical EDA
• Cross-tabulation
• Correlation, covariance & correlation matrix

Multivariate graphical EDA
• Univariate graphs by category
• Scatterplots

As general information, this course is intended for researchers that have zero or very little knowledge of statistics. The course will have a large theoretical part, in which some basic concepts of working with data will be introduced (what is a variable, levels of measurements, etc.). Furthermore, you will compute several measures (of central tendency, of variability) by hand, to get familiar with these concepts.
In the more hands-on part of the course, we will run through an informal “checklist” of things to do when embarking on an exploratory data analysis using R & RStudio. Several examples and applications in R will be explained and you will have time to practice on your data.


Prerequisites

This course is NOT and introductory courses to R. This means that you MUST already know how to code in R.

The course is intended for beginners with little or no experience with statistics.


Background readings


Fee

PhDs and postdocs of a Flemish university: 0 € - Please register with ticket: "PhD & postdocs of Flemish universities"
Other academics & non-profit/Social sector: 225 € - Please register with ticket: "Other (paying participants)"
Private sector: 600 € - Please register with ticket: "Other (paying participants)"
If the appropriate ticket is sold out, please register on the waiting list with the ticket: "Waiting list (Register here if tickets are sold out)". Do not register with another ticket because your registration will not be correct.


Venue

ONLINE


Instructor

Cristina Cametti


Details Price Qty
PhD & postdocs of Flemish universitiesshow details + €0.00 (EUR)  
Other (paying participants)show details + €0.00 (EUR)  
Waiting list (Register here if tickets are sold out)show details + €0.00 (EUR)