| Course ID: | IGP-SE>2134.2 |
| Course title: | DATA PROCESSING AND VISUALISATION |
| Semester: | 2 / Spring |
| ECTS: | 5 |
| Lectures/Classes: | 0 / 30 hours |
| Field of study: | Spatial Management |
| Study cycle: | 1st cycle |
| Type of course: | compulsory |
| Prerequisites: | |
| Contact person: | mgr inż. Grzegorz Chrobak; grzegorz.chrobak@upwr.edu.pl |
| Short description: | https://sylabus.upwr.edu.pl/en/document/3b241a97-607c-42ac-a167-88d3e35c1295.pdf |
| Full description: | Data acquisition and preparation. Good and bad data visualization practices. Gestalt principles and perception of information. Visualization and evaluation of network structures. Processing and visualization of data in Tableau environment. Visualization of temporal and spatial data. Reporting and infographics. Interactive presentations and storytelling. |
| Bibliography: | Nussbaumer Knaflic C., 2015: Storytelling with Data: A Data Visualization Guide for Business Professionals.Wiley Daniel G. Murray D., G., 2016: Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software, 2nd Edition. Wiley. Grant R., 2018: Data Visualization : Charts, Maps, and Interactive Graphics.CRC Press. Andy Kirk A., 2019: Data Visualisation. A Handbook for Data Driven Design. Sage Publications Ltd. |
| Learning outcomes: | Student has knowledge of data acquisition and processing methods. He knows innovative tools for data exploration and visualization and information presentation. Can process and effectively visualise social and economic data using innovative business, network and location intelligence tools. The student is ready to critically assess the quality of source data and formulate conclusions based on data analysis. |
| Assessment methods and assessment criteria: | project classes active participation, performing tasks |