3. 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
13. 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
14. Advantage : Dimension Reduction(資訊降維)
<< Key Result >>
<< Raw Data >> << Viz Diagram >>
<< Dataset >>
22. Information Can Be More
Meaningful by design it,
and we can derived some
interesting patterns inside
23.
24. 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.
44. 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/
61. 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.
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.
Let me briefly introduce my background.
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
speech experience
across many topics
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
how do you feel the air qulaity ?
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.
The final part
I will quickly go through some viz tool
The first question is : Why would we need to visualize the data?
What do you think ?
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。
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 ?
does anyone here heard of Google Analytics?
advantage
undersable
easy to understand
more beaufly ?
re-organized data to fit visual expectation
get more understanding by its combination
you can combine many dataset together
and to use the
The first question is : Why would we need to visualize the data?
What do you think ?
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.
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
For example, This is Domestic and other wine brewing quantity list
not a structure enough format …
table header
table footer
Unit
in Excel / powerpoint : one click and visualization is born
I am not kidding, there exist a website called WTF Visualizations
very interesting, update everyday
rediculous viz
prepares some example from the website
[天地人簡報有]
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
many different kind of chart inside
it’s like a dictionary
and you can check every diagram’s usage
it’s like a dictionary
and you can check every diagram’s usage
for example, this is bar chart
it’s a very useful diagram but few people used it often
there are many type or shape of sankey diagram
very good way to express water level of Dam(Reservoir)
anyone hear infographic before ?
can you distinguish what’s the different between infographic and data viz?
infographic is like this
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“
relative Subjective(主觀)
relative objective(客觀)
this is also a spectrum relationship
more likely as a infographic result
more likely as a data viz result
just by the name
Data can tells a lot of story
many research paper is difficult to be understand by gerenal people
if you have a Data + Visuals
not enough for peopl
famous people “Brent Dykes”
people hear statistics, but they feel stories
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
very exciting narrative
which make people understand more and remember more clearly
台灣的版本
https://leemeng.tw/gapminder.html
The final part
I will quickly go through some viz tool
I think all of you know Excel / powerpoint
and actually there have many choice to do data Viz task
for example : powerBI
another good tool : Tableu
once I’ve select a design class
for design background-friendly
very Visual effect is just a function so you can easily to manipute
many good chart library so you can easily create facinate diagram
many good chart library so you can easily create facinate diagram