- Docente: Anna Vesely
- Credits: 4
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 6661)
Learning outcomes
By the end of the course, students will be able to use appropriate softwares to organize data and perform routine statistical procedures.
Course contents
Introduction to the use of the statistical software and language R for descriptive analyses and the drafting of a statistical report.
- Introduction to the RStudio Integrated Development Environment (IDE)
- Arithmetic and logical expressions in R
- Data types
- Data structures in R: vectors, matrices, arrays, lists, and data frames
- Importing and cleaning datasets
- Descriptive statistics for numerical and categorical variables
- Graphical visualizations with base R and ggplot2
- Bivariate analysis
- Reproducible reports with R Markdown
- Introduction to the tidyverse packages
Readings/Bibliography
Materials (slides, R scripts and online resources) will be provided by the lecturer and made available on Virtuale.
Teaching methods
Laboratory lectures.
In view of the type of activity and the adopted teaching methods, the attendance at this activity requires the prior participation of all students in Modules 1 and 2 on safety training in the workplace, in e-learning mode.
Assessment methods
The final exam consists of the creation of a reproducible report, either individually or in groups, based on the analysis of a real dataset. The report, written in R Markdown, will be discussed during the oral exam. Submission procedures and guidelines for the report are available on Virtuale.
During the oral exam, students will be required to demonstrate knowledge of the basics of the R language, particularly the code and functions used in the report. Additionally, they must be able to explain and justify the appropriateness of the analyses conducted. Passing this assessment results in the achievement of a pass grade (idoneità).
Teaching tools
Scripts, exercises, and other resources will be made available on Virtuale.
Students with disability or specific learning disabilities (DSA) are required to make their condition known to find the best possibile accomodation to their needs.
Office hours
See the website of Anna Vesely