Data Visualization & Data Storytelling

Editor's Notes

• #2: 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.
• #3: Let me briefly introduce my background.
• #4: 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
• #5: speech experience across many topics
• #6: 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
• #7: how do you feel the air qulaity ?
• #8: 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.
• #9: The final part I will quickly go through some viz tool
• #10: The first question is : Why would we need to visualize the data? What do you think ?
• #11: 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。
• #12: 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 ?
• #13: does anyone here heard of Google Analytics？ advantage undersable easy to understand more beaufly ? re-organized data to fit visual expectation
• #15: get more understanding by its combination you can combine many dataset together and to use the
• #16: The first question is : Why would we need to visualize the data? What do you think ?
• #17: 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.
• #18: 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
• #19: For example, This is Domestic and other wine brewing quantity list not a structure enough format … table header table footer Unit
• #20: in Excel / powerpoint : one click and visualization is born
• #21: I am not kidding, there exist a website called WTF Visualizations very interesting, update everyday rediculous viz prepares some example from the website
• #22: [天地人簡報有]
• #24: 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
• #26: many different kind of chart inside it’s like a dictionary and you can check every diagram’s usage
• #27: it’s like a dictionary and you can check every diagram’s usage for example, this is bar chart
• #30: it’s a very useful diagram but few people used it often
• #31: there are many type or shape of sankey diagram
• #32: very good way to express water level of Dam(Reservoir)
• #34: anyone hear infographic before ? can you distinguish what’s the different between infographic and data viz?
• #35: infographic is like this
• #36: 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“
• #37: relative Subjective（主觀） relative objective（客觀） this is also a spectrum relationship
• #38: more likely as a infographic result
• #39: more likely as a data viz result
• #40: just by the name Data can tells a lot of story
• #41: many research paper is difficult to be understand by gerenal people
• #42: if you have a Data + Visuals not enough for peopl
• #43: famous people “Brent Dykes” people hear statistics, but they feel stories
• #44: 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
• #45: 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
• #47: very exciting narrative which make people understand more and remember more clearly
• #48: 台灣的版本 https://leemeng.tw/gapminder.html
• #49: The final part I will quickly go through some viz tool
• #51: I think all of you know Excel / powerpoint and actually there have many choice to do data Viz task
• #52: for example : powerBI
• #53: another good tool : Tableu
• #54: once I’ve select a design class for design background-friendly very Visual effect is just a function so you can easily to manipute
• #55: many good chart library so you can easily create facinate diagram
• #56: many good chart library so you can easily create facinate diagram
• #57: Javascript is good for website application
• #63: 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