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彭其捷
foxfirejack@gmail.com
Data Visualization &
Data Storytelling50%
40%
80%
60%
ABOUT ME
About Me
【Cameo】Project Manager
【NTU】Geography and Environment
Data Science PM, Platform PM
Geospatial Computational Science
Data system design, system
development, front-end engineer,
database administrator
Department of Information
Management System
Department of Information
Management System
About Me
4
● National Chin Hwa University:AI & Experience Design Speaker
● National Taiwan University:Data StoryTelling Speaker
● Cathayholdings:Data Visualization Trainging Course
● 2017 datasci conference:Data Visualization Speaker
● KKDAY:Tableau Traing Course Coach
● Taiwan Railway Bureau:new IT Trend & UX course
● Chung Yuan University:Frond-End Engineering & RWD Teacher
● Soochow University:EMBA - VR/AR & Crowdfunding Speaker
● MOTC:Design Thinking Workshop Coach
● Instuitute of Information Manament:Design Thinking Workshop Coach
● Environment Protection Unit:Service Design Teacher
● Tiandiren:Data Visualization Trainging Course Coach
● YOTTA:Design Thinking Coach
My published books(Data-related , Web/App design)
BigData Management
Environment Protection Unit(EPA)
By Using IoT
Technology &
AI, Assist in
environmental
inspection.
Data Visualization
Question
What is the advantage of
data visualization?
Data visualization
allows left and right
brain collaboration
Left
● Logic
● number
● Language
Right
● Symbol
● Image
● Color
Raw Data
Raw Data > Visualization
Data visualization
Data visualization is viewed by many disciplines as a
modern equivalent of visual communication. It involves
the creation and study of the visual representation of
data.
To communicate information clearly and efficiently,
data visualization uses statistical graphics, plots,
information graphics and other tools. Numerical data
may be encoded using dots, lines, or bars, to visually
communicate a quantitative message
Advantage : Dimension Reduction(資訊降維)
<< Key Result >>
<< Raw Data >> << Viz Diagram >>
<< Dataset >>
Question
What is the first challenge
for data Visualization
Project?
The first challenge : Data Clean(ETL)
<< Data Source >> << Clean Data >> << Data Warehouse >>
Extract-Transform-Load
ETL:Important & Time-Consuming
Sort
Substring
Merge Column
Different Table Join
Replace
Export
ETL:50~90% project time
ETL tool - Tableau Prep
Question
is Data
Visualization
easy?
https://viz.wtf/
https://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization?language=zh-tw
Information Can Be More
Meaningful by design it,
and we can derived some
interesting patterns inside
a good Data Visualization Indicator
Key
Element
Explain
Information
It plays a very important role in data visualization, ensuring the
accuracy, honesty, and consistency of visual results.
Story
Emphasize how to create links with readers and make readers feel
that these charts are meaningful to them.
Goal
It is emphasized that visual results must be useful, such as whether
a useful insight is presented, whether an impressive conclusion
can be made, etc.
Visual Form
As its name suggests, the focus is on the presentation of aesthetics,
emphasizing structural design, overall coordination, etc.
The Data Visualization Catalogue
https://datavizcatalogue.com/
The Data Visualization Catalogue - Bar Plot
datavizproject.com
https://datavizproject.com/
datavizproject.com - Sankey Diagram
TreeMap diagram
Dam/Reservoir/Water Dashboard
https://water.taiwanstat.com/
Infographic & Data Story
Question
Infographic?
Data Visualization?
Infographic
資訊圖表
Infographic & Data Visualization
“Let the reader explain it“
Infographic Data
Visualization
“Tell a summarized story”
spectrum
Infographic & Data Visualization
Infographic Data Visualization
"story" visualization "Data" visualization
Subjective(主觀) objective(客觀)
spectrum
https://coolinfographics.com/blog/2018/1/26/top-reasons-
startups-fail.html
Data + Visual is enough?
Data
Visuals
Enlighten
Expert
People
Data + Visual
Data
Visuals
Enlighten
Expert
People
https://www.forbes.com/sites/brentdykes/
VIDEO
Organize : Data + Visuals + Narrative > change
Data
Narrative
Visuals
Enlighten
Engage
Explain
Change
Visual aids
What happened to the explanation
data? What important information
was revealed ?
engage people or even
entertain an audience
44
https://www.forbes.com/sites/brentdykes/
Data
45
【Data】
106
【Visuals】
46107
Data
【Narrative】
https://leemeng.tw/gapminder.html
Data Visualization
Tool
Question
Tools about data
visualization?
Office:Excel / Powerpoint
PowerBI
Tableau
Processing
Python
R Language
JavaScript : website application
Google Sheet
PIKTOCHART - Creating Infographic
PlotDB : Data Visualization Website
Wordle & wordArt Tag Cloud
Wordle & wordart
David
McCandless
Data visualization is a
solution to complex
information. Even a
huge amount of terrible
information can become
a beautiful vision and let
people understand.
THE END

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Data Visualization & Data Storytelling

Notas del editor

  1. Hello Everyone, Thanks for coming today Today’s Topic is Data Visualization & Data Storytelling In the past few years, I have carried out many data projects, and I have also compiled some books about this topic By the way, This is my first time to give a speech in English. If you have any question, please to raise your hand to let me know People who study data science use data visualization often, but many people use it just as a tool for display data purpose. But if you hope to let the results to be well-understood by more people, or you wish to guide people to make some behavior changes, there are a number of techniques that can be used, the most important were data visualization design and data storytelling, which will be shared in this presentation.
  2. Let me briefly introduce my background.
  3. I am currently working for Cameo, project manager I also also a Phd student at Taiwan University. My major is Geospatial Computational Science master degree & bachelor degree
  4. speech experience across many topics
  5. This is my related work Currently published a total of five books There are two main aspects, the first one is UI/UX, mainly in the system design. Two books in recent years, mainly related to data visualization and data science
  6. how do you feel the air qulaity ?
  7. https://youtu.be/JupYRTCxRqU https://youtu.be/JupYRTCxRqU ------------------------------------ I want to use this video to give a general introduction to my current work. That is definitely me~ you look at the clothes as well. We can observe the relevant pollution areas more deeply. In this project, we integrate all the collected data. Based on PM2.5 values and wind direction data We can learn about the suspected potential sources of pollution and push back the possible polluting plants.
  8. The final part I will quickly go through some viz tool
  9. The first question is : Why would we need to visualize the data? What do you think ?
  10. left : logic, digit, number righit : image, aethestic, by cooperation from left + right 「左腦」擅長的文字與數字邏輯,可透過右腦擅長的視覺方法來呈現,例如:資料分群、 資料分類、資料趨勢、資料異常等。 ● 「右腦」擅長顏色與形狀表達,可將分析結果進行視覺化呈現,並結合左腦擅長的理性 功能進行分析,做出決策判斷。
  11. Does anyone know This? This is network system log Record the transit status of network packets in the online world It’s very ugly, right ?
  12. does anyone here heard of Google Analytics? advantage undersable easy to understand more beaufly ? re-organized data to fit visual expectation
  13. get more understanding by its combination you can combine many dataset together and to use the
  14. The first question is : Why would we need to visualize the data? What do you think ?
  15. Does anyone know “ETL”? It means:Extract-Transform-Load Usually when we get the information, the data cannot be used directly. Many statistics show that data scientists usually spend more than 50% of their time sorting data, and other time can be used for analysis.
  16. Left : Dataset Sort:higher Data ascending / decending Substring:Longer string and only derived part of the string Merge : different column data merge together Join : different table have the same, so join together Export : to another DB / Spreadsheet
  17. For example, This is Domestic and other wine brewing quantity list not a structure enough format … table header table footer Unit
  18. in Excel / powerpoint : one click and visualization is born
  19. I am not kidding, there exist a website called WTF Visualizations very interesting, update everyday rediculous viz prepares some example from the website
  20. [天地人簡報有]
  21. create by David McCandless you can see 4 dimensions : Information , Story , Goal , Visual form which represent : data , concept , function, metaphor if you wanna create a successful visualization, you need to include these four essential element
  22. many different kind of chart inside it’s like a dictionary and you can check every diagram’s usage
  23. it’s like a dictionary and you can check every diagram’s usage for example, this is bar chart
  24. it’s a very useful diagram but few people used it often
  25. there are many type or shape of sankey diagram
  26. very good way to express water level of Dam(Reservoir)
  27. anyone hear infographic before ? can you distinguish what’s the different between infographic and data viz?
  28. infographic is like this
  29. No correct answer not 100% is a infographic maybe also not 100% a Data Visualization result but usually Infographic “Tell a summarized story” Data Visualization: “Let the reader explain it“
  30. relative Subjective(主觀) relative objective(客觀) this is also a spectrum relationship
  31. more likely as a infographic result
  32. more likely as a data viz result
  33. just by the name Data can tells a lot of story
  34. many research paper is difficult to be understand by gerenal people
  35. if you have a Data + Visuals not enough for peopl
  36. famous people “Brent Dykes” people hear statistics, but they feel stories
  37. https://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen?language=zh-tw 2:00 ~ 5:05 影片在資料夾
  38. plus another essential: Narrative ====== https://medium.com/simple-is-power/%E8%AA%AA%E8%B3%87%E6%96%99%E7%9A%84%E6%95%85%E4%BA%8B-%E8%B3%87%E6%96%99%E7%A7%91%E5%AD%B8%E5%AE%B6%E4%B9%9F%E6%98%AF-%E8%B3%87%E6%96%99%E6%95%85%E4%BA%8B%E5%AE%B6-b05372264c73 好的資料故事融合三大元素,有資料佐證、透過圖像便於理解,並透過適當的敘述去說服、感動、教育讀者,甚至改變讀者想法而產生故事的影響力、採取行動
  39. very exciting narrative which make people understand more and remember more clearly
  40. 台灣的版本 https://leemeng.tw/gapminder.html
  41. The final part I will quickly go through some viz tool
  42. I think all of you know Excel / powerpoint and actually there have many choice to do data Viz task
  43. for example : powerBI
  44. another good tool : Tableu
  45. once I’ve select a design class for design background-friendly very Visual effect is just a function so you can easily to manipute
  46. many good chart library so you can easily create facinate diagram
  47. many good chart library so you can easily create facinate diagram
  48. Javascript is good for website application
  49. 我覺得可能正妹之類的,有機會不用了解太多 但當然要了解,但不一定要比最基層的工程師了解