This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.
Learning Goals
Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Learn what designs are available for a given problem and what are their respective advantages and disadvantages.
- Temporal
- Spatial
- Spatio-Temporal
- Networks
- Trees
- Text
This is the fourth course in the Information Visualization Specialization. The course expects you to have some basic knowledge of programming as well as some basic visualization skills (as those introduced in the first course of the specialization).
Este curso faz parte do Programa de cursos integrados Information Visualization
Information Visualization: Advanced Techniques
oferecido por
Programa de cursos integrados Information Visualization New York University Tandon School of Engineering
Programa - O que você aprenderá com este curso
Semana
1Visualizing Geographical Data
18 vídeos (total de (Total 116 mín.) min), 1 leitura, 1 teste
18 videos
What is Geographical Data?8min
When / Why Use a Map?10min
Maps are Not Always the Best or Only Solution!7min
Dot Maps2min
Heat Maps8min
Hexbin Maps3min
Choropleth Maps9min
Graduated Symbol Maps10min
Common Issues With Maps2min
Insensitivity To Sample Size4min
Skewed Spatial Distributions6min
Perceptual Issues4min
Map Projections6min
Interference from Map Features4min
Visualizing Maps + Time9min
Faceting / Small Multiples4min
Recapitulation5min
1 leituras
Ballot Maps Project and Choropleth Maps10min
Semana
2Visualizing Network Data
18 vídeos (total de (Total 101 mín.) min), 1 leitura, 1 teste
18 videos
Tabular Data5min
How do you visualize network data?5min
Additional Attributes7min
Node-Link Diagrams6min
Edge Bundling5min
Fixed Layout: Spatial3min
Clutter Reduction Methods4min
Matrices7min
Part 2 Trees (Hierarchies)4min
Node-Link Trees5min
Special Kind of Trees6min
Decision Trees4min
Trees: Space-Partitioning and Containment Methods6min
Area: Quantity5min
Problem with “Slice-and-Dice” Layout5min
Treemap Advantages/ Disadvantages3min
Sunburst and Icicle Plots4min
Summary and Observations9min
1 leituras
Network Visualization Projects40min
Semana
3Visualizing Temporal Data
14 vídeos (total de (Total 66 mín.) min), 1 leitura, 1 teste
14 videos
Temporal Information5min
Hierarchical Structure / Resolution4min
Visualization Methods5min
Small Multiple Line Charts and Area Charts6min
Effect of “Aspect Ratio” on Line Charts2min
Beyond Line Charts3min
Similar Design Works3min
How do you Visualize Event Data When Events Have a Duration?3min
Visualizing Periodic Phenomena4min
Radial Layouts5min
Increasing Visual Scalability of Timelines6min
Beyond Using Position3min
Recapitulation6min
1 leituras
Visualizing Time Series10min
Semana
4Interaction and Multiple Views
22 vídeos (total de (Total 136 mín.) min), 1 leitura, 1 teste
22 videos
Information Visualization Pipeline7min
Why Manipulate Visualizations?3min
Single / Multiple Views2min
Selection4min
Select → Highlight5min
Select → Show More Information and Select → Apply Operation2min
Navigation5min
Spatial Arrangement2min
Demo Using “LineUp”4min
Video Demo of “Bertifier”5min
Change Mapping5min
Aggregation4min
Filtering5min
Multiple Linked Views5min
Show Different Properties of the Same Data Simultaneously3min
Examples6min
Scenarios and Patterns5min
Scenario 22min
Scenario 37min
Summary6min
Interview with Manuel Lima32min
1 leituras
The Value of Interactions
5.0
2 avaliaçõesMelhores avaliações
por TA•Nov 15th 2018
Excellent course; the topics discussed here are essential for learning about complex / multi-faceted data visualisations.
Instrutores
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer Science and Engineering
Sobre New York University Tandon School of Engineering
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
Sobre o Programa de cursos integrados Information Visualization
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.
The specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.
The specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.
The specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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