Inhalt

[ 551DASCEDRK19 ] KV Explorative Data Analysis in R

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
2 ECTS B1 - Bachelor's programme 1. year Statistics Helga Wagner 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Statistics and Data Science 2019W
Objectives Students can perform an exploratory data analysis and visualize data in R
Subject overview on functionality of R

methods of descriptive and explorative analysis for different types of data (categorical and metric variables; uni- and multivariate data) in practical case studies

Criteria for evaluation homework and exam
Methods presentation by the instructor

computer work in class

presentation of homework by students and discussion

Language German
Study material Hatzinger, Hornik und Nagele(2014).R: Einf├╝hrung in die angewandte Statistik
Changing subject? No
Further information The course can be taken in parallel to basic courses in statistics also by students from other programs.
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority