Course : Data Visualization
Concept Visualization : Communicating abtract conceptual ideas using visual forms that are more heavily influenced by culture, language, and historical reference.
Three Key Ideas : ETC
- Examples
- Icons used by others
- Time
- Take some time to create a visual symbol to express your idea
- Cutural sensitivity
- Consider different cultures, genders, ages ... etc
Trick to visualizing concept :
- Need to find a visual to represent an idea, and expand. A metophor for the thing you try to express.
- Find something to enlighten your idea
The first thing to visualize is try not to visualize.
5 tips for visualizing concepts - Voilà (chezvoila.com)
- Use simple shapes
- Leave out entire ideas
- Find the essence of an idea
- Use abstraction
- Data illusion is OK
Use Abstraction : represent concepts
Concept Visualization is more like an impact, an anchor, not details.
- It is just a hook in a way, not to explain an idea.
To go beyond the standard
- Let go : Let your lessons, criticisms in your life go
- Use your hand : pencil, paper, whiteboard : Sketch very, very fast
- What to Focus On :
- Categories
- Number of variables
- Relationships
- Importance
- Work quickly and embrace the silly ideas
- Review critically
- Formatting
- Will data fit?
- Are names too long?
- Does it make sense visually?
- It's OK to be inspired, but come out something you think first
- Practice Creativity : Just Do It
Data made insightful, effective & beautiful through visualization | Visual Cinnamon
The keypoint is your data and goal.
Don't think about charts, think about visual graphs.
Things chage
- Build up the website
- Speaking with data conference
- Data Sketches : create more projects
Truth in Data Storytelling and Visualization
- Be confident in the data
- Qualified source? Skeptical eyes
- Consider the sample size and composition
- Understand correlation vs. causation
- Think about scale
- Creating a Data Story
- Be a data fiduciary
- Be skeptical
- Be responsible and own your truth
Data Visualization in the real world
- Why Humans Value Physical Objects
- Perception
- Physical Embodiment
- Use you hand to quickly scatch your idea
- Michelle Rial : Use real things to visualize data
- Play abound everything, make some arts of itself
- Allow yourself be free to try
Data Storytelling for Regular Folks
- Ingredients for a Data Story
- Labeling
- Narration
- Context-setting text
- Sequencing
- Needs for "Regular Folk"
- Language adjustments
- Explained visuals
- Clean up (something messing up)
- Better alignment of visuals and arguments
- Thoughtful labeling
- Neil Halloran
- Emotions can last for longer.
- Make things interesting
Historical Visualizations
SANDRA RENDGEN – Visualisation strategies, past & future. (wordpress.com)
Visualizing Large Data Sets
- Think about your audience : High Level/Deep Dive
Unicorn in Data Viz : you don't need to be a unicorn
- Proficient in
- Data analytics
- Communication
- Synthesize
- Summarize
- Report
- Storytelling
- Design sense
- Technical skills
Text Analysis and visualization
- Use Python :
- Natural Language Toolkit
- jupyter
- Arc Diagram
- Network Diagram
- Strip plot
- Text --> Metrics --> Ideas
- Manual or Automated
- Richard Bratch
- Put meanful words on charts
Maps
- book : Semiology of Graphics: Diagrams, Networks, maps
Visualization for cause
- War over Natural Resources : Data
- Challenges
- Politicization
- Objective data
- Persuation
- Elaboration Likelihood Model : The nature of persuasion depends on the extent to which the audience digs into the arguments
kinds of people
- Neutral : both graphics and tables
- Hostile : tables
- Tips for Data Viz for a Cause
- Strong arguments using credible data
- Assume audience is neutral
- Understand that part of the audience will require more convincing
- Website : Data for a cause
It's all in the detail : WAR^2T^3
- Walk Away
- Rest and Re-focus
- The KWYs
- What is the data saying
- What does the audience need to hear?
- Tweak Three Things (X, Y, Z)
Andy Kirk : Work
- Small details improve more
- Every pixel can provide meaning
- 3 Key Principles
- Trust-worthy
- Accessible
- Elegant
- Look and Digest on Every Single Element
- Book : Data Visualization - A handbook for Data Driven Design
Becoming an Information Deisgner
- Communication
- Good Listener
- Good Writer/Speaker
- Be Curious
- Design
- Statistics and analytics
- Technical skills
FedericaFragepane
Data Literacy
- The ability to read, work with, analyze, and argue with data
- Only 24% managers know how to use data
- Improve Data Literacy
- Think differently about data
- Improve your data analytics skill set
Daily practice
- Focus on something that interests you
- Practice a variety of skills
- Work on a deadline
Amy Cesal : 100 day project
Data Visualization at scale in industry
- Tips for Making Smart Decision
- Understand your business
- Know your audience : higher visualization, fewer data
- Consider scale
- Communicate effectively
Concept Visualization : Communicating abstract conceptual ideas using visual forms that are more heavily influenced by culture, language, and historical reference.
- Communication About
- Themes
- Categories
- Emotions
- Processes
- Structures
- Other conceptual ideas
- Three Key Ideas
1. Examples
- Copy and mimic others' examples with similar ideas
2. Time
3. Cultural sensitivity
Francis Gagnon : Link
- Find a unique sign and capture the concept to expand. Can't be a puzzle.
- Use the abtraction.
- Try to find an excellent metaphor
- Diagram : main to study it, read it
- The concept of visualization : try to have everything in it, not to study it
- Just a hook in a way
- Challenge
- Sometimes it's ok to go with cliche
- Visual can't stand alone
Data Visualization Research
- Useful Junk?
- Do Less with Your Design
1. Simplify
2. Remove visual distraction
3. Abstract away details
- Experimental Design Issues
1. Inadequate sample size
2. Statistical power
3. Bias
留言列表
日本の旅行 (1)
