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TAYJ024d

Quantitative Data Analysis: Visualization of Quantitative Data, 2 op

Yliopisto
Tutkijakoulu

This course gives, first, a brief introduction to the R software. 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 required.

Programme

Day 1

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

09.15-12.00 Visualization of temporal data and of spatial data; text visualization
12.00-13.00 lunch break
13.00-16.00 Real time big data applications

PLEASE NOTE: Attendance to BOTH days is required for the completion of the course.

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.

Opetusperiodit

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Koodi

TAYJ024d

Pääasiallinen opetuskieli

englanti

Lukuvuosi

2019–2020

Opintojakson taso

Jatko-opinnot

Arvosteluasteikko

Hylätty-Hyväksytty

Vastuuhenkilö

Vastuuopettaja Paulo Canas Rodrigues

Osaamistavoitteet

Esitietovaatimukset

Suoritustapa 1

Osallistuminen opetukseen

05.12.2019 12.12.2019
I
II
III
IV

Opetusperiodit

I
II
III
IV

Koodi

TAYJ024d

Pääasiallinen opetuskieli

englanti

Lukuvuosi

2019–2020

Opintojakson taso

Jatko-opinnot

Arvosteluasteikko

Hylätty-Hyväksytty

Vastuuhenkilö

Vastuuopettaja Paulo Canas Rodrigues

Suoritustapa 1

Osallistuminen opetukseen

05.12.2019 12.12.2019
I
II
III
IV