A collection of posters realized during the course of Data Visualization Techniques and Introduction to exploratory data analysis conducted at the Faculty of Mathematics and Information Sciences, Warsaw University of Technology.
Posters collected by: @kozaka93
Instructors: @kozaka93 @krzyzinskim @mikolajsp @woznicak
Have you ever wondered what distinguishes the best Formula 1 drivers? Why do some teams perform better than expected? Or which athletes left their competitors behind? If YES, you can find the answer to these and other questions in the posters below.
Instructors: @kozaka93 @krzyzinskim @HubertR21 @mikolajsp
Have you wondered how music affects our mood? Or whether concerts affect the popularity of songs and the number of plays? Or what makes a song win a Grammy or win Eurovision? You can find the answers to these questions and many more on the posters prepared during the Introduction to exploratory data analysis course.
Instructors: @kozaka93 @HubertR21 @sobieskibj
In the first project, students faced the task of preparing a poster. The topic was very interesting and timely, as it was dedicated to climate change and environmental protection. Considering learning ggplot2 from scratch, the results are fantastic. You can check it out below!
Instructors: @kozaka93 @hbaniecki
Project focused on the exploration and visualisation of survey data. The data from questionnaires were related to two scientific projects conducted by Centrum Nauki Kopernik in Warsaw.
Instructors: @kozaka93 @woznicak
The project's goal was to prepare a poster containing good and bad data visualization practices or a guide on the type of visualization to select in a specific situation.
Instructors: @agosiewska @hbaniecki
In the second project, we asked students to prepare posters concerning COVID-19 statistics, while also exploring various topics like restrictions, tourism, air pollution, economy, etc.
Instructors: @agosiewska @hbaniecki
How to tell an interesting story? During classes we spend time learning the types of plots we can use to make sense of our data. It is also important to be able to tell the story hidden in the data to others. To do this, students made posters about movies, series, books, and games.
Instructors: @kozaka93
The project consisted of graphically preparing the most exciting results of data mining. The students had a choice of two datasets, the first was on PISA results and the second on FIFA'19 statistics.
Instructors: @pbiecek @michbur
The DRDhub (Data - Rhetoric - Design) project was interdisciplinary. It joined students of Polish studies from the University of Warsaw, media arts from the Academy of Fine Arts in Warsaw, and mathematics and computer science from Warsaw University of Technology.
The project was focused on a graphic illustration about a selected movie, TV series, or audiobook.
Instructors: @pbiecek @michbur
The project aimed to present data on demographics, economics, health care, security, politics, education, or the history of Poland or Europe.
Instructors: @pbiecek