Visualization of quantitative data when reporting and publishing findings
Course description:
It is commonly said that “a picture is worth a thousand words”. The same is true when reporting findings of an analysis of quantitative data. A proper visualization of the results might make the difference between the success and failure in telling a story or in publishing one’s findings. This course gives, first, a brief introduction to the R software and to D3 JavaScript library for manipulating documents based on data. Second, the course focuses on visualization of quantitative data which is of utmost importance when reporting and publishing findings. Examples and applications will be done for multivariate, temporal, spatial and text data. Examples used during the course will be based on the R software, and preliminary knowledge of this software is advisable but nor required. Participants can learn more about the R software prior to the course online at: http://www.uta.fi/cast/events/Ronline.html.
Goals: The course:
Place: Computer classroom Ml 50 Linna
Programme
Day 1: 3.11.2017
09.15-12.00 Introduction to R
12.00-13.00 Lunch break
13.00-16.00 Introduction to data exploration and data visualization: types of data and of databases; online databases; Visualization of multivariate data
Day 2: 10.11.2017
09.15-12.00 Visualization of temporal data and of spatial data; text visualization
12.00-13.00 lunch break
13.00-16.00 Introduction to D3; Real time big data applications
PLEASE NOTE: Attendance to BOTH days is required for the completion of the course.
Teacher: Paulo Canas Rodrigues
Pre-assignment: Please write a short (one A4) text stating:
1) Your name & disciplinary background
2) State your own motivation for participating on this course and what do you expect to learn.
DEADLINE for the pre-assignments to be announced.
In addition, participants will write a mini-assignment after the second meeting with a two weeks’ deadline.
Enrolment via NettiOpsu. Maximum number of students is 24. Selection method is draw. Students should check the selection result via NettiOpsu after the enrolment period.