Lectures for Information Visualization

iPod Ads: Shape-from-Contour & Cause/Effect

iPod Ads: add Shape-from-Shading

iPod Ads: soften Contrast Effects

Microsoft Machine Learning & Data Science Summit 2016 Keynote

Minard's Graph recreated in Excel with BeGraphic Add-in

Jeffrey Heer: A Brief History of Data Visualization

Resources

• History:
• Milestones of DataVis
• Using Vision To Think: Information Visualization (pp. 1 - 33 or available in Canvas)
• Value of Information Visualization by J.-D. Fekete et al. (pp. 1- 18 or available in Canvas)
• Taxonomy of Visualization Types:
• Periodic Table of Visualization
• A Tour through the Visualization Zoo by Jeffrey Heer et al.
• Hierarchical Visualization:
• Treemaps: Site | History | Demo | Video.
• Treemap of Stock Market.
• Compare: 2011 Budget vs. 2013 Budget proposals created by NYTimes.
• Focus+Context Visualization:
• Fisheye Menu | Walrus.

• Introduction
  • Apply the power of Tableau 2021 to your data (0:20)
  • What you should know before starting (2:06)

• Introducing Tableau
  • Download Tableau (2:54)
  • Install Tableau drivers (2:03)
  • Introduce Tableau file types (1:52)
  • Get help in Tableau (2:13)

• Managing Data Sources and Visualizations
  • Connect to a data source (2:09)
  • Join related data sources (4:11)
  • Join data sources with inconsistent field names (3:19)
  • Clean up source data (3:42)
  • Reorder fields in a visualization (2:12)
  • Change the summary operation (1:53)
  • Split text into multiple columns (2:39)
  • Present data using storylines (4:45)

• Managing Tableau Worksheets and Workbooks
  • Display the data underlying a workbook (2:51)
  • Add, duplicate, and rename worksheets (2:12)
  • Reorder, clear, and delete worksheets (2:37)
  • Change a worksheet’s tab color (1:39)
  • Show or hide worksheet elements (3:10)
  • Save your changes (3:15)
  • Save your workbook as a PDF file (3:18)
  • Create a packaged workbook (1:46)
  • Export data to a CSV file (2:20)
  • Export visualizations to PowerPoint (2:56)

• Creating Custom Calculations and Fields
  • Present Tableau operators and built-in functions (3:33)
  • Create a calculated field (3:10)
  • Create a calculated field on a shelf (2:36)
  • Add a table calculation (4:29)
  • Use level of detail expressions (4:43)
  • Create calculations in dialog boxes (3:52)

• Analyzing Data
  • Calculate averages, medians, minimums, and maximums (4:55)
  • Count occurrences and distinct items (2:55)
  • Display the Summary Card (2:06)
  • Calculate percentages within a table (3:25)
  • Forecast future values (3:07)

• Sorting and Filtering Tableau Data
  • Sort based on a field’s values (4:33)
  • Create a multi-level sort (2:17)
  • Create a selection filter (2:49)
  • Create a wildcard filter (4:12)
  • Create a condition filter (2:01)
  • Create a top filter (2:37)
  • Edit, clear, and delete filters (2:12)
  • Filter data using parameters (4:03)
  • Edit and delete parameters (2:58)

• Defining Groups and Sets
  • Define a group (1:10)
  • Define a group for other values (2:08)
  • Find members of a group (2:34)
  • Edit and delete groups (3:37)
  • Define a set (2:23)
  • Create summaries using sets (2:33)
  • Combine sets (2:37)
  • Edit and delete sets (1:47)

• Creating Basic Visualizations
  • Create column and stacked column charts (3:40)
  • Create line charts and area fill charts (3:09)
  • Create pie charts (2:07)
  • Create scatter plots (3:00)
  • Identify data clusters (6:31)
  • Create histograms (3:13)
  • Summarize data using a smart histogram (3:09)
  • Create a treemap (3:23)

• Formatting Tableau Visualizations
  • Change the visual summary type (1:51)
  • Change the appearance of your data (6:24)
  • Display a visualization in presentation mode (1:55)
  • Create a highlight table (3:07)
  • Display a viz in a tooltip (3:18)

• Annotating and Formatting Visualizations
  • Annotate a visualization (1:53)
  • Format chart elements (3:55)
  • Change the color sequence in charts (2:42)
  • Add a trend line to a chart (4:08)
  • Add reference lines, distributions, and boxes (5:19)
  • Manage viz animations (3:53)

• Mapping Geographic Data
  • Create a basic map (3:10)
  • Add and remove map layers (3:33)
  • Enhance map analysis using distance measurement tools (3:22)
  • Disable pan and zoom in maps (2:55)
  • Define custom regions (3:23)

• Creating Dashboards and Actions
  • Create a dashboard (1:44)
  • Arrange and resize dashboard elements (4:06)
  • Replace a worksheet in a dashboard quickly (1:35)
  • Define a filter action (2:44)
  • Define a highlight action (3:00)
  • Define parameter actions (5:06)

• Conclusion
  • Further resources (1:33)

• Welcome (1:04)
• What you should know (0:57)
• Using the exercises for this course (3:52)

• Getting Started
• What is D3? (1:57)
• Using D3 selections (5:54)
• Controlling HTML within selections (5:59)
• Modifying attributes through CSS (8:09)
• Binding data to the DOM (6:15)
• Creating subselections (5:42)

• Understanding SVG Graphics
• Drawing with SVG (2:02)
• Understanding SVG primitives (12:22)
• Drawing SVG graphics with D3 (4:42)
• Creating a simple SVG bar chart (5:20)

• Using D3 Methods
• Adding a linear scale (4:16)
• Using ordinal scales (4:18)
• Creating meaningful color scales (4:41)
• Adding events (3:22)
• Using transitions and animations (6:32)
• Adding a tooltip (4:10)

• Using Data
• Using external data (9:19)
• Using meaningful colors (5:04)
• Adding a simple guide (6:11)
• Creating margins (4:26)
• Adding a time-based guide (7:35)

• Conclusion
• Next steps (1:11)

• Public Data Sources
• Databases of Statistical Information
• World Bank: Data Catalog
• OECD Data
• Gapminder
• Visualizing.org
• Google Public Data Explorer
• Data.gov: Showcase
• Amazon

• Rutgers Library Data
• Rutgers Library Data | Rutgers Website Stats
• Data compiled by 2009 InfoVis class:
• Rutgers Peers
• ARL_NCES
• RUL_Distributed Technical Services
• RUL_SiteStats

• Data Analysis

• Ways to Become Acquainted with a Data Set for the First Time (Stephen Few)
• School of Data
• Courses: Data Fundamentals, Data Extraction, Data Cleaning, Geocoding, Understanding Data, Data Journalism and more.
• Resources: for Extracting, Cleaning, Analyzing, Presenting, Sharing Data.
• Knight Digital Media Center
• Intro into Cleaning Data
• Spreadsheets

• Introduction
• Use public data sets to perform analyses (0:32)
• What you should know (1:11)

• US Census Bureau and Securities and Exchange Commission
• US Census Bureau population data (3:56)
• US Census Bureau maps and visualizations (4:29)
• US Census Bureau industry data (3:08)
• US Census Bureau geographic data sets (2:35)
• US health data (2:20)
• EDGAR (4:52)

• Other US GovernmentAgencies
• Bureau of Justice Statistics (3:44)
• Internal Revenue Service migration data (3:21)
• Bureau of Economic Analysis (3:56)
• US Federal Reserve Board (6:02)
• US Department of Education Data and Research (2:24)
• Bureau of Labor Statistics (4:07)
• Bureau of Transportation Statistics (4:35)
• US Patent and Trademark Office (4:07)
• National Centers for Environmental Information (3:06)

• Data Sources for Non-US Entities
• World Bank (3:34)
• CIA World Factbook (2:55)
• United Nations (4:06)
• UNICEF (2:43)
• Statistics Canada (3:44)
• Eurostat (4:21)
• Organization for Economic Cooperation and Development (4:04)
• UK National Health Service NHS Digital (2:53)

• Data Search Engines and Portals
• Google Finance (2:39)
• Google Trends (4:08)
• Google Public Data Explorer (3:33)
• Amazon Web Services Public Data Sets (2:36)
• Data.gov (3:56)
• Google Ngram Viewer (3:24)
• The Corpus of Contemporary American English (3:05)
• University of California, Irvine, Center for Machine Learning (5:45)
• Pew Research Center (4:08)

• Conclusion
• Next steps (1:19)

• Introduction to Tableau Prep
• Introducing the analytic cycle (2:16)
• What is Tableau Prep? (2:34)
• A tour of the Tableau Prep workspace (2:49)
• Tableau anatomy (4:02)

• Connecting to Data
• Connecting to a data source (2:38)
• Using the data interpreter (1:53)
• Connecting to multiple files (2:38)
• Configuring the data input process (4:03)
• Challenge 1: Connecting files and configuring data inputs (0:37)
• Solution 1: Connecting files and configuring data inputs (1:22)

• Exploring Your Data
• Using the Profile pane (2:52)
• Examine the distribution of the data (1:54)
• Examine row-level data in the data grid (2:17)
• How to search and sort (3:22)
• Challenge 2: Exploring the data (0:37)
• Solution 2: Exploring the data (2:07)

• Cleaning Your Data
• Splitting fields into new ones (3:34)
• Removing and renaming fields (2:40)
• Cleaning data using calculated fields (3:33)
• Filtering data (3:48)
• Grouping values (3:48)
• Replacing values (3:49)
• Keeping track of changes (4:23)
• Challenge 3: Cleaning data (0:33)
• Solution 3: Cleaning data (2:43)

• Combining Your Data
• Merging data using unions (3:03)
• Union data using wildcards (3:58)
• Correcting mismatched fields (3:40)
• Explaining the different join types (4:09)
• Creating joins (4:08)
• Correcting join errors (3:38)
• Challenge 4: Combining data (0:41)
• Solution 4: Combining data (3:55)

• Reshaping Your Data
• Reshaping using pivots (3:08)
• Aggregating data (3:41)
• Challenge 5: Aggregate data (0:49)
• Solution 5: Aggregate data (3:43)

• Sampling Your Data
• Sampling your data (2:42)
• Sampling options (3:36)
• Challenge 6: Data sampling (0:53)
• Solution 6: Data sampling (3:16)

• Previewing and Sharing Your Data
• Preview the flow in Tableau Desktop (3:49)
• Creating output files (4:01)
• Challenge 7: Generating a flow output (0:37)
• Solution 7: Generating a flow output (3:19)

• Example Flows
• Flight delays (4:45)
• World indicators (4:25)
• Superstore (4:41)
• Minimum wage (4:09)

• Conclusion
• Next steps (0:11)

Tableau allows users to connect to data in a few clicks, then visualize and create interactive, sharable dashboards with a few more. It's easy enough that any Excel user can learn it, but powerful enough to satisfy even the most complex analytical problems.

• Tableau for Teaching
• http://www.tableausoftware.com/tft/activation
• Desktop Key: Instructor will annouce it
• Other options: Download | Student Edition
• Starting with Tableau version 10.5 coming in Fall 2017, new versions of Tableau will only run on 64-bit operating systems. Tableau 10.4 will be the last version of Tableau Desktop, Tableau Reader, and Tableau Public to support 32-bit Windows operating systems.
• Previous Releases: https://www.tableau.com/support/releases

• Videos
• Demo | Beginner | On-Demand Videos
• Tutorials
• Introduction to Tableau | Calculations | Mapping
• Preparing Excel Files for Analysis

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

• Site | Examples | Tutorials | Documentation
• Gallery | Showreel
• Line Chart | Bar Chart | Pie Chart | Scatterplot | Motion Chart
• Grouped Bars | Stacked Bars | Normalized Stacked Bars | Stacked-to-Grouped Bars

Amanda Cox @NYTgraphics on Data Visualization (2012)

• NYTimes: is leading adopter of visualization tools in the news media and at the forefront of enhancing new stories with interactive content.
• Visualization Team
• Matthew Ericson: When maps should not be maps
• Michael Bostock (developer of D3)
• Amanda Cox (Data Editor)
• Visualizations & DataStories
• The Upshot, Five Years In
• The Year in Visual Stories and Graphics:
  2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
• 2008 - 2012: Debt Trap | Daily Acitvities | Netflix Queues | Degrees of Debt | Election 2012: Keys to Victory | Paths to White House | How Obama Won Re-election and Shift from 2008
• Maps
• 2016 US Elections | 2012 US Elections | 2008 US Elections
• Immigration Explorer | Mapping US Census |
  Mapping America: Every City, Every Block
• Hierarchical Data
• Compare: 2011 Budget vs. 2013 Budget proposals

• Introduction
  • Apply the power of Tableau 2021 to your data (0:20)
  • What you should know before starting (2:06)

• Introducing Tableau
  • Download Tableau (2:54)
  • Install Tableau drivers (2:03)
  • Introduce Tableau file types (1:52)
  • Get help in Tableau (2:13)

• Managing Data Sources and Visualizations
  • Connect to a data source (2:09)
  • Join related data sources (4:11)
  • Join data sources with inconsistent field names (3:19)
  • Clean up source data (3:42)
  • Reorder fields in a visualization (2:12)
  • Change the summary operation (1:53)
  • Split text into multiple columns (2:39)
  • Present data using storylines (4:45)

• Managing Tableau Worksheets and Workbooks
  • Display the data underlying a workbook (2:51)
  • Add, duplicate, and rename worksheets (2:12)
  • Reorder, clear, and delete worksheets (2:37)
  • Change a worksheet’s tab color (1:39)
  • Show or hide worksheet elements (3:10)
  • Save your changes (3:15)
  • Save your workbook as a PDF file (3:18)
  • Create a packaged workbook (1:46)
  • Export data to a CSV file (2:20)
  • Export visualizations to PowerPoint (2:56)

• Creating Custom Calculations and Fields
  • Present Tableau operators and built-in functions (3:33)
  • Create a calculated field (3:10)
  • Create a calculated field on a shelf (2:36)
  • Add a table calculation (4:29)
  • Use level of detail expressions (4:43)
  • Create calculations in dialog boxes (3:52)

• Analyzing Data
  • Calculate averages, medians, minimums, and maximums (4:55)
  • Count occurrences and distinct items (2:55)
  • Display the Summary Card (2:06)
  • Calculate percentages within a table (3:25)
  • Forecast future values (3:07)

• Sorting and Filtering Tableau Data
  • Sort based on a field’s values (4:33)
  • Create a multi-level sort (2:17)
  • Create a selection filter (2:49)
  • Create a wildcard filter (4:12)
  • Create a condition filter (2:01)
  • Create a top filter (2:37)
  • Edit, clear, and delete filters (2:12)
  • Filter data using parameters (4:03)
  • Edit and delete parameters (2:58)

• Defining Groups and Sets
  • Define a group (1:10)
  • Define a group for other values (2:08)
  • Find members of a group (2:34)
  • Edit and delete groups (3:37)
  • Define a set (2:23)
  • Create summaries using sets (2:33)
  • Combine sets (2:37)
  • Edit and delete sets (1:47)

• Creating Basic Visualizations
  • Create column and stacked column charts (3:40)
  • Create line charts and area fill charts (3:09)
  • Create pie charts (2:07)
  • Create scatter plots (3:00)
  • Identify data clusters (6:31)
  • Create histograms (3:13)
  • Summarize data using a smart histogram (3:09)
  • Create a treemap (3:23)

• Formatting Tableau Visualizations
  • Change the visual summary type (1:51)
  • Change the appearance of your data (6:24)
  • Display a visualization in presentation mode (1:55)
  • Create a highlight table (3:07)
  • Display a viz in a tooltip (3:18)

• Annotating and Formatting Visualizations
  • Annotate a visualization (1:53)
  • Format chart elements (3:55)
  • Change the color sequence in charts (2:42)
  • Add a trend line to a chart (4:08)
  • Add reference lines, distributions, and boxes (5:19)
  • Manage viz animations (3:53)

• Mapping Geographic Data
  • Create a basic map (3:10)
  • Add and remove map layers (3:33)
  • Enhance map analysis using distance measurement tools (3:22)
  • Disable pan and zoom in maps (2:55)
  • Define custom regions (3:23)

• Creating Dashboards and Actions
  • Create a dashboard (1:44)
  • Arrange and resize dashboard elements (4:06)
  • Replace a worksheet in a dashboard quickly (1:35)
  • Define a filter action (2:44)
  • Define a highlight action (3:00)
  • Define parameter actions (5:06)

• Conclusion
  • Further resources (1:33)

• General: Cartography | Cartogram | GeoVisualization
• Examples: Leaflet.JS | DataWrapper | ArcGIS Explorer | Carto | Google Earth
• NYTimes US Election Visualization: 2018 | 2016 | 2014 | 2012 | 2008
• Demographics: Social Explorer | Demographic DotMap

where 2.0

• 2012
• Telling Stories with Maps
• When To *Not* Use Maps
• Responsive Design–The Future of Mapping

• 2011
• Bing Maps: Read / Write World
• 2010
• Bing Maps: The Map as an Information Ecology
  related: TED video
• Google: The New Meaning of Mapping

• Introduction
  • Apply the power of Tableau 2021 to your data (0:20)
  • What you should know before starting (2:06)

• Introducing Tableau
  • Download Tableau (2:54)
  • Install Tableau drivers (2:03)
  • Introduce Tableau file types (1:52)
  • Get help in Tableau (2:13)

• Managing Data Sources and Visualizations
  • Connect to a data source (2:09)
  • Join related data sources (4:11)
  • Join data sources with inconsistent field names (3:19)
  • Clean up source data (3:42)
  • Reorder fields in a visualization (2:12)
  • Change the summary operation (1:53)
  • Split text into multiple columns (2:39)
  • Present data using storylines (4:45)

• Managing Tableau Worksheets and Workbooks
  • Display the data underlying a workbook (2:51)
  • Add, duplicate, and rename worksheets (2:12)
  • Reorder, clear, and delete worksheets (2:37)
  • Change a worksheet’s tab color (1:39)
  • Show or hide worksheet elements (3:10)
  • Save your changes (3:15)
  • Save your workbook as a PDF file (3:18)
  • Create a packaged workbook (1:46)
  • Export data to a CSV file (2:20)
  • Export visualizations to PowerPoint (2:56)

• Creating Custom Calculations and Fields
  • Present Tableau operators and built-in functions (3:33)
  • Create a calculated field (3:10)
  • Create a calculated field on a shelf (2:36)
  • Add a table calculation (4:29)
  • Use level of detail expressions (4:43)
  • Create calculations in dialog boxes (3:52)

• Analyzing Data
  • Calculate averages, medians, minimums, and maximums (4:55)
  • Count occurrences and distinct items (2:55)
  • Display the Summary Card (2:06)
  • Calculate percentages within a table (3:25)
  • Forecast future values (3:07)

• Sorting and Filtering Tableau Data
  • Sort based on a field’s values (4:33)
  • Create a multi-level sort (2:17)
  • Create a selection filter (2:49)
  • Create a wildcard filter (4:12)
  • Create a condition filter (2:01)
  • Create a top filter (2:37)
  • Edit, clear, and delete filters (2:12)
  • Filter data using parameters (4:03)
  • Edit and delete parameters (2:58)

• Defining Groups and Sets
  • Define a group (1:10)
  • Define a group for other values (2:08)
  • Find members of a group (2:34)
  • Edit and delete groups (3:37)
  • Define a set (2:23)
  • Create summaries using sets (2:33)
  • Combine sets (2:37)
  • Edit and delete sets (1:47)

• Creating Basic Visualizations
  • Create column and stacked column charts (3:40)
  • Create line charts and area fill charts (3:09)
  • Create pie charts (2:07)
  • Create scatter plots (3:00)
  • Identify data clusters (6:31)
  • Create histograms (3:13)
  • Summarize data using a smart histogram (3:09)
  • Create a treemap (3:23)

• Formatting Tableau Visualizations
  • Change the visual summary type (1:51)
  • Change the appearance of your data (6:24)
  • Display a visualization in presentation mode (1:55)
  • Create a highlight table (3:07)
  • Display a viz in a tooltip (3:18)

• Annotating and Formatting Visualizations
  • Annotate a visualization (1:53)
  • Format chart elements (3:55)
  • Change the color sequence in charts (2:42)
  • Add a trend line to a chart (4:08)
  • Add reference lines, distributions, and boxes (5:19)
  • Manage viz animations (3:53)

• Mapping Geographic Data
  • Create a basic map (3:10)
  • Add and remove map layers (3:33)
  • Enhance map analysis using distance measurement tools (3:22)
  • Disable pan and zoom in maps (2:55)
  • Define custom regions (3:23)

• Creating Dashboards and Actions
  • Create a dashboard (1:44)
  • Arrange and resize dashboard elements (4:06)
  • Replace a worksheet in a dashboard quickly (1:35)
  • Define a filter action (2:44)
  • Define a highlight action (3:00)
  • Define parameter actions (5:06)

• Conclusion
  • Further resources (1:33)

• Elements of a Good Dashboard
• The four questions for every dashboard (3:38)
• Who is the dashboard for? (5:38)
• Where is the dashboard viewed? (4:06)
• Why are you making the dashboard? (4:05)
• What question do you want to answer? (3:34)

• Dashboard Structure
• Create a basic dashboard (5:39)
• Size your dashboard (3:24)
• Floating vs. tiles layout (4:51)
• How to use layout containers (8:15)
• Titles on your dashboard (4:08)
• Challenge: Create a basic dashboard (0:44)
• Solution: Create a basic dashboard (5:05)

• Dashboard Components
• Apply filters across sheets (4:59)
• Highlight data with annotations (4:39)
• Additional information and help (5:08)
• Collapsible containers to show or hide elements (4:50)
• Challenge: Modifying dashboards (0:38)
• Solution: Modifying dashboards (5:04)

• Dashboard Design Elements
• Dashboard colors (5:26)
• Remove chart junk (5:22)
• Visually group elements with borders (4:25)
• Challenge: Dashboard design (0:36)
• Solution: Dashboard design (5:35)

• Interaction with Dashboard Actions
• Add interaction with actions (6:36)
• Filter actions (5:03)
• Highlight actions (5:19)
• URL actions (6:10)
• Go to Sheet (5:08)
• Proportional brushing using set actions (5:04)
• Asymmetric drill down using set actions (4:00)
• Highlight with parameter actions (5:29)
• Challenge: Dashboard actions (0:35)
• Solution: Dashboard actions (5:45)

• Using Stories to Make Dashboards
• Data viz vs. data stories (4:09)
• Narrative structure (3:34)
• Big stories (4:55)
• Small stories (4:23)
• Challenge: Dashboard stories (0:29)
• Solution: Dashboard stories (4:30)

• One Dataset: Five Dashboards
• Build an exploratory dashboard (5:58)
• Build an informative dashboard (5:38)
• Build a data story (5:32)
• Build a KPI dashboard (6:12)
• Design for tablets and mobile (5:11)
• Challenge: Dashboard styles (0:37)
• Solution: Dashboard styles (5:27)

• Conclusion
• Next steps (0:45)

Jeffrey Heer talking about how to examine data and visualize it.

ScrollyTelling:

• Mike Bostock - How to Scroll | 2013: The Year in Interactive Storytelling
• Scrollytelling in Data Visualizations | Examples
• From Storytelling To Scrollytelling: A Short Introduction and Beyond
• A beginner's guide to scrollytelling
• The Scrollytelling Scourge

When Visualization Met Augmented Reality - IEEE VIS 2018 Keynote Talk
by Dieter Schmalstieg

• Wikipedia: Augmented Reality
• NYTimes: AR Spotlight | Guide
• Four of the Best Olympians, as You’ve Never Seen Them
• Apollo 11 - As They Shot It - A Small Step
• This 3-D Simulation Shows Why Social Distancing Is So Important
• Masks Work. Really. We’ll Show You How.
• General: KnightLab - AR Slideshow
• AR Tools
• Microsoft HoloLens | Apple AR | Facebook AR |
  Google AR | Google Glass
• Early Startups: Wikitude: Showcases | Layar: Intro Video
• Immersive Data
• Overview of Tools | How can AR help visualize data?
• IBM Immersive Data and Video
• Immersive Analytics Panel at VCBM & VMV 2020

President Barack Obama's Inaugural Address
by David Bergman

Visualization as Lingua Franca in Machine Learning - Fernanda Viegas

Visualization for Machine Learning (NeurIPS 2018 Tutorial) - Fernanda Viegas and Martin Wattenberg

Introduction to Circuits in CNNs - Chris Olah and Distill - Zoom In: An Introduction to Circuits and OpenAi Microscope

Machine Learning Meets Visualization - Michael Sedlmair

Search Visualization

• Readings: Information Visualization for Search Interfaces

• Visual Search Tools: Carrot2 | Aduna / Vound
• InfoCrystal - MetaCrystal - searchCrystal:
• searchCrystal: Papers | Video (0:59)
• Wikipedia Visualization:
• Visualizing Overlap of Most Visited Pages on Wikipedia
• Screencast: Most Popular (3:56) | Demo: Most Popular (using Flash)
• The Most Controversial Topics in Wikipedia
• Screencast: Edit Wars (11:31) | Demo: Edit Wars (using Flash) | Press Coverage
• MetaCrystal: Papers | Related Research
• InfoCrystal: Site | Papers | PhD Thesis

Text Visualization

• Readings: Visualization for Text Analysis

• Visual Survey of Text Visualization Techniques: useful tool to explore different text visualization approaches.
• Viegas + Wattenberg: TextVis | Unfiltered News
• Some Tools: Wordle | TextArc | Novel Views: Les Miserables | Tolkien's works

Network Science: From the Web to the Cell by Albert László Barabási.

A network of science: 150 years of Nature papers designed by Mauro Martino

Communicating with Interactive Articles (Distill)

How to make better visualizations (MIT News)

• Technology
• ONE NATION, TRACKED (NYTimes)

• Covid - Coronavirus - SARS-CoV-2
• How the Virus Got Out (NYTimes)
• How Coronavirus Mutates and Spreads (NYTimes)
• Making sense of COVID19 through simulations

• Politics
• The True Colors of America’s Political Spectrum Are Gray and Green (NYTimes)
• The Swamp That Trump Built (NYTimes)

• Gender & Race
• Extensive Data Shows Punishing Reach of Racism for Black Boys (NYTimes)
• Income Mobility Charts for Girls, Asian-Americans and Other Groups (NYTimes)

• Inequality
• The U.S. Is Lagging Behind Many Rich Countries. These Charts Show Why. (NYTimes)
• America Will Struggle After Coronavirus. These Charts Show Why. (NYTimes)

• Climate Change | Global Warming
• Every Place Has Its Own Climate Risk. What Is It Where You Live? (NYTimes)
• How Decades of Racist Housing Policy Left Neighborhoods Sweltering (NYTimes)
• The Great Climate Migration (NYTimes)
• See How the World’s Most Polluted Air Compares With Your City’s (NYTimes)

• 169 | Data Conversations with Vidya Setlur (Director of research at Tableau)
• 168 | Highlights from IEEE VIS'22 with Tamara Munzner
• 167 | Visualization and Statistics with Andrew Gelman and Jessica Hullman
• 164 | Edward Tufte's complete work with Sandra Rendgen
• 163 | svelte.js for web-based dataviz with Amelia Wattenberger
• 162 | Highlights from IEEE VIS'20 with Miriah Meyer and Danielle Szafir
• 161 | People of the Pandemic with Shirley Wu
• 156 | Visualizing Fairness in Machine Learning with Yongsu Ahn and Alex Cabrera
• 154 | Visualizing Global Warming with IPCC with Angela Morelli and Tom Gabriel Johansenr

• 150 | Highlights from IEEE VIS'19 with Tamara Munzner and Robert Kosara
• 147 | Iconic Climate Visuals with Ed Hawkins
• 135 | The "Dashboard Conspiracy" with Lyn Bartram and Alper Sarikaya
• 134 | Visualizing Uncertainty with Jessica Hullman and Matthew Kay
• 130 | Highlights from IEEE VIS 2018
• 127 | Storytelling with Data with Cole Nussbaumer Knaflic
• 117 | Datawrapper with Lisa C. Rost and Gregor Aisch
• 113 | What Makes A Visualization Memorable?
• 096 | Innovation from Research with Jarke Van Wijk
• 094 | Uncertainty and Trumpery with Alberto Cairo
• 092 | A Tribute to Hans Rosling
• 072 | Jeff Heer on Merging Industry and Research with the Interactive Data Lab