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).
提供方
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 5 小时
Visualizing Geographical Data
18 个视频 （总计 116 分钟）, 1 个阅读材料, 1 个测验
18 个视频
What is Geographical Data?8分钟
When / Why Use a Map?10分钟
Maps are Not Always the Best or Only Solution!7分钟
Dot Maps2分钟
Heat Maps8分钟
Hexbin Maps3分钟
Choropleth Maps9分钟
Graduated Symbol Maps10分钟
Common Issues With Maps2分钟
Insensitivity To Sample Size4分钟
Skewed Spatial Distributions6分钟
Perceptual Issues4分钟
Map Projections6分钟
Interference from Map Features4分钟
Visualizing Maps + Time9分钟
Faceting / Small Multiples4分钟
Recapitulation5分钟
1 个阅读材料
Ballot Maps Project and Choropleth Maps1 小时 10 分
周
2完成时间为 4 小时
Visualizing Network Data
18 个视频 （总计 101 分钟）, 1 个阅读材料, 1 个测验
18 个视频
Tabular Data5分钟
How do you visualize network data?5分钟
Additional Attributes7分钟
Node-Link Diagrams6分钟
Edge Bundling5分钟
Fixed Layout: Spatial3分钟
Clutter Reduction Methods4分钟
Matrices7分钟
Part 2 Trees (Hierarchies)4分钟
Node-Link Trees5分钟
Special Kind of Trees6分钟
Decision Trees4分钟
Trees: Space-Partitioning and Containment Methods6分钟
Area: Quantity5分钟
Problem with “Slice-and-Dice” Layout5分钟
Treemap Advantages/ Disadvantages3分钟
Sunburst and Icicle Plots4分钟
Summary and Observations9分钟
1 个阅读材料
Network Visualization Projects40分钟
周
3完成时间为 4 小时
Visualizing Temporal Data
14 个视频 （总计 66 分钟）, 1 个阅读材料, 1 个测验
14 个视频
Temporal Information5分钟
Hierarchical Structure / Resolution4分钟
Visualization Methods5分钟
Small Multiple Line Charts and Area Charts6分钟
Effect of “Aspect Ratio” on Line Charts2分钟
Beyond Line Charts3分钟
Similar Design Works3分钟
How do you Visualize Event Data When Events Have a Duration?3分钟
Visualizing Periodic Phenomena4分钟
Radial Layouts5分钟
Increasing Visual Scalability of Timelines6分钟
Beyond Using Position3分钟
Recapitulation6分钟
1 个阅读材料
Visualizing Time Series1 小时 10 分
周
4完成时间为 6 小时
Interaction and Multiple Views
22 个视频 （总计 136 分钟）, 1 个阅读材料, 1 个测验
22 个视频
Information Visualization Pipeline7分钟
Why Manipulate Visualizations?3分钟
Single / Multiple Views2分钟
Selection4分钟
Select → Highlight5分钟
Select → Show More Information and Select → Apply Operation2分钟
Navigation5分钟
Spatial Arrangement2分钟
Demo Using “LineUp”4分钟
Video Demo of “Bertifier”5分钟
Change Mapping5分钟
Aggregation4分钟
Filtering5分钟
Multiple Linked Views5分钟
Show Different Properties of the Same Data Simultaneously3分钟
Examples6分钟
Scenarios and Patterns5分钟
Scenario 22分钟
Scenario 37分钟
Summary6分钟
Interview with Manuel Lima32分钟
1 个阅读材料
The Value of Interaction2小时
4.7
8 个审阅来自Information Visualization: Advanced Techniques的热门评论
Excellent course; the topics discussed here are essential for learning about complex / multi-faceted data visualisations.
VEry interesting. I wasn't a newbie but faced very interesting challenges, expecially facing D3.js
讲师
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer Science and Engineering
关于 纽约大学坦登工程学院
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
关于 信息可视化 专项课程
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.
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