This case study describes the educational use of an open dataset collected …
This case study describes the educational use of an open dataset collected as part of a thousand mile research walk. The content connects to many hot topics including quantified self, privacy, biosensing, mobility and the digital divide, so has an immediate interest to students. It includes inter-linkable qualitative and quantitative data, in a variety of specialist and general formats, so offers a variety of technical challenges including visualisation and data mining as well. Finally, it is raw data with all the glitches, gaps and problems attached to this.
The case study draws on experience in two educational settings: the first with a group of computer science and interaction design masters students in class-based discussions run by the first author; the second a computer science bachelor's project supervised by the second author.
This course explores visualization methodologies to conceive and represent systems and data, …
This course explores visualization methodologies to conceive and represent systems and data, e.g., financial, media, economic, political, etc., with a particular focus on climate change data in this version of the course. Topics include basic methods for research, cleaning, and analysis of datasets, and creative methods of data presentation and storytelling. The course considers the emotional, aesthetic, ethical, and practical effects of different presentation methods as well as how to develop metrics for assessing impact. Coursework includes readings, visualization exercises, and a final project.
This course is an introduction to data cleaning, analysis and visualization. We …
This course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract meaningful information, use statistical tools, and make visualizations. This was offered as a non-credit course during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.
This resource is a lesson on data cleaning and wrangling in R …
This resource is a lesson on data cleaning and wrangling in R using the tidyverse package. It introduces R beginners to using R, best practices with R, the R environment, and basic coding with R
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