�ݺ�ߣshows by User: kristw

�ݺ�ߣshows by User: kristw / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: kristw / Tue, 13 Sep 2022 01:33:25 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: kristw What I tell myself before visualizing /slideshow/what-i-tell-myself-before-visualizing/252942386 whatitellmyselfbeforevisualizingv8-220913013325-247b0a24
Guest Lecture at MICA DATA ANALYTICS AND VISUALIZATION Graduate Program https://www.mica.edu/graduate-programs/data-analytics-and-visualization-mps/]]>
Guest Lecture at MICA DATA ANALYTICS AND VISUALIZATION Graduate Program https://www.mica.edu/graduate-programs/data-analytics-and-visualization-mps/]]> Tue, 13 Sep 2022 01:33:25 GMT /slideshow/what-i-tell-myself-before-visualizing/252942386 kristw@slideshare.net(kristw) What I tell myself before visualizing kristw Guest Lecture at MICA DATA ANALYTICS AND VISUALIZATION Graduate Program https://www.mica.edu/graduate-programs/data-analytics-and-visualization-mps/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whatitellmyselfbeforevisualizingv8-220913013325-247b0a24-thumbnail.jpg?width=120&height=120&fit=bounds" /> Guest Lecture at MICA DATA ANALYTICS AND VISUALIZATION Graduate Program https://www.mica.edu/graduate-programs/data-analytics-and-visualization-mps/

What I tell myself before visualizing from Krist Wongsuphasawat

]]> 38 0 https://cdn.slidesharecdn.com/ss_thumbnails/whatitellmyselfbeforevisualizingv8-220913013325-247b0a24-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Navigating the Wide World of Data Visualization Libraries /slideshow/navigating-the-wide-world-of-data-visualization-libraries/242282197 navigatevislibforshare-210205032044
“Which visualization library should I use?” Typically, making this decision is not about whether one library is “better” than another, but whether the specific library is more suitable for what the developer is trying to achieve.To answer this question thoroughly, we need to better understand the design space of visualization libraries. The talk will give a tour of many kinds of visualization libraries on the web across the design space, while explaining the framework and design philosophy that the audience can learn along the way. The audience will expand their horizon and be more aware of the wide universe of libraries. The next time they come across a new package, they can use this framework as a lens to analyze its own offerings and how it is different from or similar to the libraries that they already know.]]>
“Which visualization library should I use?” Typically, making this decision is not about whether one library is “better” than another, but whether the specific library is more suitable for what the developer is trying to achieve.To answer this question thoroughly, we need to better understand the design space of visualization libraries. The talk will give a tour of many kinds of visualization libraries on the web across the design space, while explaining the framework and design philosophy that the audience can learn along the way. The audience will expand their horizon and be more aware of the wide universe of libraries. The next time they come across a new package, they can use this framework as a lens to analyze its own offerings and how it is different from or similar to the libraries that they already know.]]> Fri, 05 Feb 2021 03:20:43 GMT /slideshow/navigating-the-wide-world-of-data-visualization-libraries/242282197 kristw@slideshare.net(kristw) Navigating the Wide World of Data Visualization Libraries kristw “Which visualization library should I use?” Typically, making this decision is not about whether one library is “better” than another, but whether the specific library is more suitable for what the developer is trying to achieve.To answer this question thoroughly, we need to better understand the design space of visualization libraries. The talk will give a tour of many kinds of visualization libraries on the web across the design space, while explaining the framework and design philosophy that the audience can learn along the way. The audience will expand their horizon and be more aware of the wide universe of libraries. The next time they come across a new package, they can use this framework as a lens to analyze its own offerings and how it is different from or similar to the libraries that they already know. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/navigatevislibforshare-210205032044-thumbnail.jpg?width=120&height=120&fit=bounds" /> “Which visualization library should I use?” Typically, making this decision is not about whether one library is “better” than another, but whether the specific library is more suitable for what the developer is trying to achieve.To answer this question thoroughly, we need to better understand the design space of visualization libraries. The talk will give a tour of many kinds of visualization libraries on the web across the design space, while explaining the framework and design philosophy that the audience can learn along the way. The audience will expand their horizon and be more aware of the wide universe of libraries. The next time they come across a new package, they can use this framework as a lens to analyze its own offerings and how it is different from or similar to the libraries that they already know.

Navigating the Wide World of Data Visualization Libraries from Krist Wongsuphasawat

]]> 2130 0 https://cdn.slidesharecdn.com/ss_thumbnails/navigatevislibforshare-210205032044-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Encodable: Configurable Grammar for Visualization Components /slideshow/encodable-configurable-grammar-for-visualization-components/241914055 encodabletalk-210127151048
There are so many libraries of visualization components nowadays with their APIs often different from one another. Could these components be more similar, both in terms of the APIs and common functionalities? For someone who is developing a new visualization component, how should the API look like? This work drew inspiration from visualization grammar, decoupled the grammar from its rendering engine and adapted it into a configurable grammar for individual components called Encodable. Encodable helps component authors define grammar for their components, and parse encoding specifications from users into utility functions for the implementation. ]]>
There are so many libraries of visualization components nowadays with their APIs often different from one another. Could these components be more similar, both in terms of the APIs and common functionalities? For someone who is developing a new visualization component, how should the API look like? This work drew inspiration from visualization grammar, decoupled the grammar from its rendering engine and adapted it into a configurable grammar for individual components called Encodable. Encodable helps component authors define grammar for their components, and parse encoding specifications from users into utility functions for the implementation. ]]> Wed, 27 Jan 2021 15:10:48 GMT /slideshow/encodable-configurable-grammar-for-visualization-components/241914055 kristw@slideshare.net(kristw) Encodable: Configurable Grammar for Visualization Components kristw There are so many libraries of visualization components nowadays with their APIs often different from one another. Could these components be more similar, both in terms of the APIs and common functionalities? For someone who is developing a new visualization component, how should the API look like? This work drew inspiration from visualization grammar, decoupled the grammar from its rendering engine and adapted it into a configurable grammar for individual components called Encodable. Encodable helps component authors define grammar for their components, and parse encoding specifications from users into utility functions for the implementation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/encodabletalk-210127151048-thumbnail.jpg?width=120&height=120&fit=bounds" /> There are so many libraries of visualization components nowadays with their APIs often different from one another. Could these components be more similar, both in terms of the APIs and common functionalities? For someone who is developing a new visualization component, how should the API look like? This work drew inspiration from visualization grammar, decoupled the grammar from its rendering engine and adapted it into a configurable grammar for individual components called Encodable. Encodable helps component authors define grammar for their components, and parse encoding specifications from users into utility functions for the implementation.

Encodable: Configurable Grammar for Visualization Components from Krist Wongsuphasawat

]]> 561 0 https://cdn.slidesharecdn.com/ss_thumbnails/encodabletalk-210127151048-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 6 things to expect when you are visualizing (2020 Edition) /slideshow/6-things-to-expect-when-you-are-visualizing-2020-edition/231652334 6thingstoexpectwhenyouarevisualizingv6-200408205651
This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of different applications of information/data visualization and details on how each project was started and developed. These slides were from my (remote) guest lecture in InfoVis class for UC Berkeley iSchool on Apr 8, 2020 during the COVID-19 shelter-in-place. Thank you Prof. Marti Hearst for the invitation.]]>
This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of different applications of information/data visualization and details on how each project was started and developed. These slides were from my (remote) guest lecture in InfoVis class for UC Berkeley iSchool on Apr 8, 2020 during the COVID-19 shelter-in-place. Thank you Prof. Marti Hearst for the invitation.]]> Wed, 08 Apr 2020 20:56:51 GMT /slideshow/6-things-to-expect-when-you-are-visualizing-2020-edition/231652334 kristw@slideshare.net(kristw) 6 things to expect when you are visualizing (2020 Edition) kristw This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of different applications of information/data visualization and details on how each project was started and developed. These slides were from my (remote) guest lecture in InfoVis class for UC Berkeley iSchool on Apr 8, 2020 during the COVID-19 shelter-in-place. Thank you Prof. Marti Hearst for the invitation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/6thingstoexpectwhenyouarevisualizingv6-200408205651-thumbnail.jpg?width=120&height=120&fit=bounds" /> This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of different applications of information/data visualization and details on how each project was started and developed. These slides were from my (remote) guest lecture in InfoVis class for UC Berkeley iSchool on Apr 8, 2020 during the COVID-19 shelter-in-place. Thank you Prof. Marti Hearst for the invitation.

6 things to expect when you are visualizing (2020 Edition) from Krist Wongsuphasawat

]]> 482 0 https://cdn.slidesharecdn.com/ss_thumbnails/6thingstoexpectwhenyouarevisualizingv6-200408205651-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Increasing the Impact of Visualization Research /slideshow/increasing-the-impact-of-visualization-research/80465646 impactofvisresearchkristwshared-171004174210
�ݺ�ߣs from the VIS in practice panel "Increasing the Impact of Visualization Research" during IEEE VIS 2017 in Phoenix, AZ. http://www.visinpractice.rwth-aachen.de/panel.html]]>
�ݺ�ߣs from the VIS in practice panel "Increasing the Impact of Visualization Research" during IEEE VIS 2017 in Phoenix, AZ. http://www.visinpractice.rwth-aachen.de/panel.html]]> Wed, 04 Oct 2017 17:42:10 GMT /slideshow/increasing-the-impact-of-visualization-research/80465646 kristw@slideshare.net(kristw) Increasing the Impact of Visualization Research kristw �ݺ�ߣs from the VIS in practice panel "Increasing the Impact of Visualization Research" during IEEE VIS 2017 in Phoenix, AZ. http://www.visinpractice.rwth-aachen.de/panel.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/impactofvisresearchkristwshared-171004174210-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs from the VIS in practice panel "Increasing the Impact of Visualization Research" during IEEE VIS 2017 in Phoenix, AZ. http://www.visinpractice.rwth-aachen.de/panel.html

Increasing the Impact of Visualization Research from Krist Wongsuphasawat

]]> 1335 8 https://cdn.slidesharecdn.com/ss_thumbnails/impactofvisresearchkristwshared-171004174210-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 6 things to expect when you are visualizing /slideshow/6-things-to-expect-when-you-are-visualizing/72650072 6thingstoexpectwhenyouarevisualizingshared-170228063140
This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of 3 different applications of information/data visualization and details on how each project was started and developed. These slides were from my guest lecture in InfoVis class at (1) InfoVis class at UC Berkeley iSchool on Feb 27, 2017. Thank you Prof. Marti Hearst for the invitation. (2) DataVis class at GATech on Apr 5, 2017. Thank you Prof. Rahul C. Basole for the invitation.]]>
This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of 3 different applications of information/data visualization and details on how each project was started and developed. These slides were from my guest lecture in InfoVis class at (1) InfoVis class at UC Berkeley iSchool on Feb 27, 2017. Thank you Prof. Marti Hearst for the invitation. (2) DataVis class at GATech on Apr 5, 2017. Thank you Prof. Rahul C. Basole for the invitation.]]> Tue, 28 Feb 2017 06:31:40 GMT /slideshow/6-things-to-expect-when-you-are-visualizing/72650072 kristw@slideshare.net(kristw) 6 things to expect when you are visualizing kristw This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of 3 different applications of information/data visualization and details on how each project was started and developed. These slides were from my guest lecture in InfoVis class at (1) InfoVis class at UC Berkeley iSchool on Feb 27, 2017. Thank you Prof. Marti Hearst for the invitation. (2) DataVis class at GATech on Apr 5, 2017. Thank you Prof. Rahul C. Basole for the invitation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/6thingstoexpectwhenyouarevisualizingshared-170228063140-thumbnail.jpg?width=120&height=120&fit=bounds" /> This talk was prepared as a note to my future self when working on future projects. I reflect on the tasks commonly involved in crafting visualizations, point out the common things to expect, pitfalls and provide recommendations. Along the way I include examples of 3 different applications of information/data visualization and details on how each project was started and developed. These slides were from my guest lecture in InfoVis class at (1) InfoVis class at UC Berkeley iSchool on Feb 27, 2017. Thank you Prof. Marti Hearst for the invitation. (2) DataVis class at GATech on Apr 5, 2017. Thank you Prof. Rahul C. Basole for the invitation.

6 things to expect when you are visualizing from Krist Wongsuphasawat

]]> 2314 9 https://cdn.slidesharecdn.com/ss_thumbnails/6thingstoexpectwhenyouarevisualizingshared-170228063140-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 What to expect when you are visualizing (v.2) /slideshow/what-to-expect-when-you-are-visualizing-v2/68423825 whattoexpectwhenyouarevisualizingv2shared-161108193531
Guest lecture at UNC Chapel Hill Nov 8, 2016]]>
Guest lecture at UNC Chapel Hill Nov 8, 2016]]> Tue, 08 Nov 2016 19:35:31 GMT /slideshow/what-to-expect-when-you-are-visualizing-v2/68423825 kristw@slideshare.net(kristw) What to expect when you are visualizing (v.2) kristw Guest lecture at UNC Chapel Hill Nov 8, 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whattoexpectwhenyouarevisualizingv2shared-161108193531-thumbnail.jpg?width=120&height=120&fit=bounds" /> Guest lecture at UNC Chapel Hill Nov 8, 2016

What to expect when you are visualizing (v.2) from Krist Wongsuphasawat

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0 ร้อยเรื่องราวจากข้อมูล / Storytelling with Data /slideshow/storytelling-with-data-66699504/66699504 kristwstorytellingwithdata-161004053024
A talk given at Chulalongkorn University in an event hosted by Faculty of Communication Arts and Faculty of Engineering on Sep 29, 2016.]]>
A talk given at Chulalongkorn University in an event hosted by Faculty of Communication Arts and Faculty of Engineering on Sep 29, 2016.]]> Tue, 04 Oct 2016 05:30:24 GMT /slideshow/storytelling-with-data-66699504/66699504 kristw@slideshare.net(kristw) ร้อยเรื่องราวจากข้อมูล / Storytelling with Data kristw A talk given at Chulalongkorn University in an event hosted by Faculty of Communication Arts and Faculty of Engineering on Sep 29, 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwstorytellingwithdata-161004053024-thumbnail.jpg?width=120&height=120&fit=bounds" /> A talk given at Chulalongkorn University in an event hosted by Faculty of Communication Arts and Faculty of Engineering on Sep 29, 2016.

ร้อยเรื่องราวจากข้อมูล / Storytelling with Data from Krist Wongsuphasawat

]]> 644 3 https://cdn.slidesharecdn.com/ss_thumbnails/kristwstorytellingwithdata-161004053024-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Reveal the talking points of every episode of Game of Thrones from fans' conversations /slideshow/reveal-the-talking-points-of-every-episode-of-game-of-thrones-from-fans-conversations/62948550 gameofthronesvisshare2-160611003903
You may not be sure how Lord Varys collects information from his little birds, but in this talk you will hear how we can collect information from our little birds. @kristw shares a behind-the-scenes view of his latest data visualization project, which shows how each #GameOfThrones episode was discussed on Twitter. Using data visualization, we can extract and reveal the stories of every episode from fans’ Tweets. https://interactive.twitter.com/game-of-thrones These slides are from a talk given at Bay Area d3 User Group meetup on June 9, 2016. http://www.meetup.com/Bay-Area-d3-User-Group/events/231281298 ]]>
You may not be sure how Lord Varys collects information from his little birds, but in this talk you will hear how we can collect information from our little birds. @kristw shares a behind-the-scenes view of his latest data visualization project, which shows how each #GameOfThrones episode was discussed on Twitter. Using data visualization, we can extract and reveal the stories of every episode from fans’ Tweets. https://interactive.twitter.com/game-of-thrones These slides are from a talk given at Bay Area d3 User Group meetup on June 9, 2016. http://www.meetup.com/Bay-Area-d3-User-Group/events/231281298 ]]> Sat, 11 Jun 2016 00:39:03 GMT /slideshow/reveal-the-talking-points-of-every-episode-of-game-of-thrones-from-fans-conversations/62948550 kristw@slideshare.net(kristw) Reveal the talking points of every episode of Game of Thrones from fans' conversations kristw You may not be sure how Lord Varys collects information from his little birds, but in this talk you will hear how we can collect information from our little birds. @kristw shares a behind-the-scenes view of his latest data visualization project, which shows how each #GameOfThrones episode was discussed on Twitter. Using data visualization, we can extract and reveal the stories of every episode from fans’ Tweets. https://interactive.twitter.com/game-of-thrones These slides are from a talk given at Bay Area d3 User Group meetup on June 9, 2016. http://www.meetup.com/Bay-Area-d3-User-Group/events/231281298 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gameofthronesvisshare2-160611003903-thumbnail.jpg?width=120&height=120&fit=bounds" /> You may not be sure how Lord Varys collects information from his little birds, but in this talk you will hear how we can collect information from our little birds. @kristw shares a behind-the-scenes view of his latest data visualization project, which shows how each #GameOfThrones episode was discussed on Twitter. Using data visualization, we can extract and reveal the stories of every episode from fans’ Tweets. https://interactive.twitter.com/game-of-thrones These slides are from a talk given at Bay Area d3 User Group meetup on June 9, 2016. http://www.meetup.com/Bay-Area-d3-User-Group/events/231281298

Reveal the talking points of every episode of Game of Thrones from fans' conversations from Krist Wongsuphasawat

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0 What to expect when you are visualizing /slideshow/what-to-expect-when-you-are-visualizing/60794395 whattoexpectwhenyouarevisualizing-160412060948
In this talk, I reflect on the tasks commonly involved in crafting visualizations and show examples of different applications of information/data visualization. Along this ride I will share my workflow, point out the common pitfalls and provide recommendations. These slides were from my guest lecture in InfoVis class at UC Berkeley iSchool on Apr 11, 2016. Thank you Prof. Marti Hearst for inviting. ]]>
In this talk, I reflect on the tasks commonly involved in crafting visualizations and show examples of different applications of information/data visualization. Along this ride I will share my workflow, point out the common pitfalls and provide recommendations. These slides were from my guest lecture in InfoVis class at UC Berkeley iSchool on Apr 11, 2016. Thank you Prof. Marti Hearst for inviting. ]]> Tue, 12 Apr 2016 06:09:48 GMT /slideshow/what-to-expect-when-you-are-visualizing/60794395 kristw@slideshare.net(kristw) What to expect when you are visualizing kristw In this talk, I reflect on the tasks commonly involved in crafting visualizations and show examples of different applications of information/data visualization. Along this ride I will share my workflow, point out the common pitfalls and provide recommendations. These slides were from my guest lecture in InfoVis class at UC Berkeley iSchool on Apr 11, 2016. Thank you Prof. Marti Hearst for inviting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whattoexpectwhenyouarevisualizing-160412060948-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this talk, I reflect on the tasks commonly involved in crafting visualizations and show examples of different applications of information/data visualization. Along this ride I will share my workflow, point out the common pitfalls and provide recommendations. These slides were from my guest lecture in InfoVis class at UC Berkeley iSchool on Apr 11, 2016. Thank you Prof. Marti Hearst for inviting.

What to expect when you are visualizing from Krist Wongsuphasawat

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0 Adventure in Data: A tour of visualization projects at Twitter /slideshow/adventure-in-data-a-tour-of-visualization-projects-at-twitter-54965093/54965093 adventureindata-151110183120-lva1-app6891
Guest lecture at Prof. David Gotz's UNC Chapel Hill INLS 690 Visual Analytics class (Given remotely) on Nov 10, 2015. Many demos can also be accessed from interactive.twitter.com and kristw.yellowpigz.com]]>
Guest lecture at Prof. David Gotz's UNC Chapel Hill INLS 690 Visual Analytics class (Given remotely) on Nov 10, 2015. Many demos can also be accessed from interactive.twitter.com and kristw.yellowpigz.com]]> Tue, 10 Nov 2015 18:31:20 GMT /slideshow/adventure-in-data-a-tour-of-visualization-projects-at-twitter-54965093/54965093 kristw@slideshare.net(kristw) Adventure in Data: A tour of visualization projects at Twitter kristw Guest lecture at Prof. David Gotz's UNC Chapel Hill INLS 690 Visual Analytics class (Given remotely) on Nov 10, 2015. Many demos can also be accessed from interactive.twitter.com and kristw.yellowpigz.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/adventureindata-151110183120-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Guest lecture at Prof. David Gotz's UNC Chapel Hill INLS 690 Visual Analytics class (Given remotely) on Nov 10, 2015. Many demos can also be accessed from interactive.twitter.com and kristw.yellowpigz.com

Adventure in Data: A tour of visualization projects at Twitter from Krist Wongsuphasawat

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0 Logs & Visualizations at Twitter /slideshow/logs-visualizations-at-twitter/49568002 kristwbigdatameetup20150617-150618182935-lva1-app6892
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]]> Thu, 18 Jun 2015 18:29:35 GMT /slideshow/logs-visualizations-at-twitter/49568002 kristw@slideshare.net(kristw) Logs & Visualizations at Twitter kristw <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwbigdatameetup20150617-150618182935-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" />

Logs & Visualizations at Twitter from Krist Wongsuphasawat

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0 d3Kit /slideshow/d3kit/49006580 d3kit-150604200239-lva1-app6892
d3Kit is a set of tools to speed D3 related project development. It is a lightweight library to help you do the basic groundwork tasks you need when building visualization with d3.]]>
d3Kit is a set of tools to speed D3 related project development. It is a lightweight library to help you do the basic groundwork tasks you need when building visualization with d3.]]> Thu, 04 Jun 2015 20:02:39 GMT /slideshow/d3kit/49006580 kristw@slideshare.net(kristw) d3Kit kristw d3Kit is a set of tools to speed D3 related project development. It is a lightweight library to help you do the basic groundwork tasks you need when building visualization with d3. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/d3kit-150604200239-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> d3Kit is a set of tools to speed D3 related project development. It is a lightweight library to help you do the basic groundwork tasks you need when building visualization with d3.

d3Kit from Krist Wongsuphasawat

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0 Data Visualization: A Quick Tour for Data Science Enthusiasts /slideshow/data-visualization-a-quick-tour-for-data-science-enthusiasts/43709057 kristwds101datavisshared-150120114806-conversion-gate02
This was a talk given at Chulalongkorn University in Bangkok, Thailand on January 16, 2015 as a part of CodeMania X2 "Data Science 101"]]>
This was a talk given at Chulalongkorn University in Bangkok, Thailand on January 16, 2015 as a part of CodeMania X2 "Data Science 101"]]> Tue, 20 Jan 2015 11:48:06 GMT /slideshow/data-visualization-a-quick-tour-for-data-science-enthusiasts/43709057 kristw@slideshare.net(kristw) Data Visualization: A Quick Tour for Data Science Enthusiasts kristw This was a talk given at Chulalongkorn University in Bangkok, Thailand on January 16, 2015 as a part of CodeMania X2 "Data Science 101" <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwds101datavisshared-150120114806-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This was a talk given at Chulalongkorn University in Bangkok, Thailand on January 16, 2015 as a part of CodeMania X2 "Data Science 101"

Data Visualization: A Quick Tour for Data Science Enthusiasts from Krist Wongsuphasawat

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0 Using Visualizations to Monitor Changes and Harvest Insights from a Global-scale Logging Infrastructure at Twitter /slideshow/kristw-vast2014-shared/41508241 kristwvast2014shared-141113073234-conversion-gate01
�ݺ�ߣs from my talk at the IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 in Paris, France. ABSTRACT Logging user activities is essential to data analysis for internet products and services. Twitter has built a unified logging infrastructure that captures user activities across all clients it owns, making it one of the largest datasets in the organization. This paper describes challenges and opportunities in applying information visualization to log analysis at this massive scale, and shows how various visualization techniques can be adapted to help data scientists extract insights. In particular, we focus on two scenarios:\ (1) monitoring and exploring a large collection of log events, and (2) performing visual funnel analysis on log data with tens of thousands of event types. Two interactive visualizations were developed for these purposes: we discuss design choices and the implementation of these systems, along with case studies of how they are being used in day-to-day operations at Twitter.]]>
�ݺ�ߣs from my talk at the IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 in Paris, France. ABSTRACT Logging user activities is essential to data analysis for internet products and services. Twitter has built a unified logging infrastructure that captures user activities across all clients it owns, making it one of the largest datasets in the organization. This paper describes challenges and opportunities in applying information visualization to log analysis at this massive scale, and shows how various visualization techniques can be adapted to help data scientists extract insights. In particular, we focus on two scenarios:\ (1) monitoring and exploring a large collection of log events, and (2) performing visual funnel analysis on log data with tens of thousands of event types. Two interactive visualizations were developed for these purposes: we discuss design choices and the implementation of these systems, along with case studies of how they are being used in day-to-day operations at Twitter.]]> Thu, 13 Nov 2014 07:32:34 GMT /slideshow/kristw-vast2014-shared/41508241 kristw@slideshare.net(kristw) Using Visualizations to Monitor Changes and Harvest Insights from a Global-scale Logging Infrastructure at Twitter kristw �ݺ�ߣs from my talk at the IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 in Paris, France. ABSTRACT Logging user activities is essential to data analysis for internet products and services. Twitter has built a unified logging infrastructure that captures user activities across all clients it owns, making it one of the largest datasets in the organization. This paper describes challenges and opportunities in applying information visualization to log analysis at this massive scale, and shows how various visualization techniques can be adapted to help data scientists extract insights. In particular, we focus on two scenarios:\ (1) monitoring and exploring a large collection of log events, and (2) performing visual funnel analysis on log data with tens of thousands of event types. Two interactive visualizations were developed for these purposes: we discuss design choices and the implementation of these systems, along with case studies of how they are being used in day-to-day operations at Twitter. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwvast2014shared-141113073234-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs from my talk at the IEEE Conference on Visual Analytics Science and Technology (VAST) 2014 in Paris, France. ABSTRACT Logging user activities is essential to data analysis for internet products and services. Twitter has built a unified logging infrastructure that captures user activities across all clients it owns, making it one of the largest datasets in the organization. This paper describes challenges and opportunities in applying information visualization to log analysis at this massive scale, and shows how various visualization techniques can be adapted to help data scientists extract insights. In particular, we focus on two scenarios:\ (1) monitoring and exploring a large collection of log events, and (2) performing visual funnel analysis on log data with tens of thousands of event types. Two interactive visualizations were developed for these purposes: we discuss design choices and the implementation of these systems, along with case studies of how they are being used in day-to-day operations at Twitter.

Using Visualizations to Monitor Changes and Harvest Insights from a Global-scale Logging Infrastructure at Twitter from Krist Wongsuphasawat

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0 Data Visualization at Twitter /slideshow/kristw-hackshackers/40048882 kristwhackshackers-141008230755-conversion-gate02
My talk at the Hacks & Hackers Meetup SF at Twitter HQ on Oct 8, 2014]]>
My talk at the Hacks & Hackers Meetup SF at Twitter HQ on Oct 8, 2014]]> Wed, 08 Oct 2014 23:07:54 GMT /slideshow/kristw-hackshackers/40048882 kristw@slideshare.net(kristw) Data Visualization at Twitter kristw My talk at the Hacks & Hackers Meetup SF at Twitter HQ on Oct 8, 2014 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwhackshackers-141008230755-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> My talk at the Hacks & Hackers Meetup SF at Twitter HQ on Oct 8, 2014

Data Visualization at Twitter from Krist Wongsuphasawat

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0 Making Sense of Millions of Thoughts: Finding Patterns in the Tweets /slideshow/making-sense-of-millions-of-thoughts-finding-patterns-in-the-tweets/36450488 illvishared-140630015709-phpapp01
I gave this presentation at Workshop on Interactive Language Learning, Visualization, and Interfaces / ACL 2014 in Baltimore, MD on June 27, 2014. http://nlp.stanford.edu/events/illvi2014/index.html ABSTRACT Everyday on Twitter, there are millions of thoughts that are captured and shared to the world in the form of 140-character messages, or Tweets. There are many things we could learn from these thoughts if we could figure out a way to digest this gigantic dataset. Visualization is one of the many ways to extract information from these Tweets. In this presentation, I will talk about several visualizations based on Tweets, as well as share experiences and challenges from working with Tweet data.]]>
I gave this presentation at Workshop on Interactive Language Learning, Visualization, and Interfaces / ACL 2014 in Baltimore, MD on June 27, 2014. http://nlp.stanford.edu/events/illvi2014/index.html ABSTRACT Everyday on Twitter, there are millions of thoughts that are captured and shared to the world in the form of 140-character messages, or Tweets. There are many things we could learn from these thoughts if we could figure out a way to digest this gigantic dataset. Visualization is one of the many ways to extract information from these Tweets. In this presentation, I will talk about several visualizations based on Tweets, as well as share experiences and challenges from working with Tweet data.]]> Mon, 30 Jun 2014 01:57:09 GMT /slideshow/making-sense-of-millions-of-thoughts-finding-patterns-in-the-tweets/36450488 kristw@slideshare.net(kristw) Making Sense of Millions of Thoughts: Finding Patterns in the Tweets kristw I gave this presentation at Workshop on Interactive Language Learning, Visualization, and Interfaces / ACL 2014 in Baltimore, MD on June 27, 2014. http://nlp.stanford.edu/events/illvi2014/index.html ABSTRACT Everyday on Twitter, there are millions of thoughts that are captured and shared to the world in the form of 140-character messages, or Tweets. There are many things we could learn from these thoughts if we could figure out a way to digest this gigantic dataset. Visualization is one of the many ways to extract information from these Tweets. In this presentation, I will talk about several visualizations based on Tweets, as well as share experiences and challenges from working with Tweet data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/illvishared-140630015709-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> I gave this presentation at Workshop on Interactive Language Learning, Visualization, and Interfaces / ACL 2014 in Baltimore, MD on June 27, 2014. http://nlp.stanford.edu/events/illvi2014/index.html ABSTRACT Everyday on Twitter, there are millions of thoughts that are captured and shared to the world in the form of 140-character messages, or Tweets. There are many things we could learn from these thoughts if we could figure out a way to digest this gigantic dataset. Visualization is one of the many ways to extract information from these Tweets. In this presentation, I will talk about several visualizations based on Tweets, as well as share experiences and challenges from working with Tweet data.

Making Sense of Millions of Thoughts: Finding Patterns in the Tweets from Krist Wongsuphasawat

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0 From Data to Visualization, what happens in between? /slideshow/from-data-to-visualization-what-happens-in-between/33333030 datatovis2-140409130521-phpapp02
A talk at Data Visualization Summit 2014 in Santa Clara, CA ABSTRACT: What is the thought process that transforms data into visualizations? In this presentation, I will talk about guidelines that will help you when starting with raw data, walk through standard techniques, and also discuss things to keep in mind when making design decisions.]]>
A talk at Data Visualization Summit 2014 in Santa Clara, CA ABSTRACT: What is the thought process that transforms data into visualizations? In this presentation, I will talk about guidelines that will help you when starting with raw data, walk through standard techniques, and also discuss things to keep in mind when making design decisions.]]> Wed, 09 Apr 2014 13:05:21 GMT /slideshow/from-data-to-visualization-what-happens-in-between/33333030 kristw@slideshare.net(kristw) From Data to Visualization, what happens in between? kristw A talk at Data Visualization Summit 2014 in Santa Clara, CA ABSTRACT: What is the thought process that transforms data into visualizations? In this presentation, I will talk about guidelines that will help you when starting with raw data, walk through standard techniques, and also discuss things to keep in mind when making design decisions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datatovis2-140409130521-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> A talk at Data Visualization Summit 2014 in Santa Clara, CA ABSTRACT: What is the thought process that transforms data into visualizations? In this presentation, I will talk about guidelines that will help you when starting with raw data, walk through standard techniques, and also discuss things to keep in mind when making design decisions.

From Data to Visualization, what happens in between? from Krist Wongsuphasawat

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0 A Narrative Display for Sports Tournament Recap /slideshow/kristw-sportsvis/28088912 kristwsportsvis-131110103604-phpapp01
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]]> Sun, 10 Nov 2013 10:36:04 GMT /slideshow/kristw-sportsvis/28088912 kristw@slideshare.net(kristw) A Narrative Display for Sports Tournament Recap kristw <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwsportsvis-131110103604-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

A Narrative Display for Sports Tournament Recap from Krist Wongsuphasawat

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0 Visualization for Event Sequences Exploration /slideshow/kristw-datavis-summitfinal/18635433 kristwdatavissummitfinal-130411161843-phpapp01
My talk at the Data Visualization Summit in San Francisco April 11, 2013 http://theinnovationenterprise.com/summits/data-visualization-sf ---------------- Abstract ---------------- Many aspects of our lives can be captured and described as series of events, or event sequences. These event sequences can be keys to understanding many things: medical services, logistics, sports, user behavior, etc. In this presentation, I will talk about techniques for visualizing event sequences, from simple to advance, and also show examples that demonstrate the power of visualizations in exploring and understanding event sequences.]]>
My talk at the Data Visualization Summit in San Francisco April 11, 2013 http://theinnovationenterprise.com/summits/data-visualization-sf ---------------- Abstract ---------------- Many aspects of our lives can be captured and described as series of events, or event sequences. These event sequences can be keys to understanding many things: medical services, logistics, sports, user behavior, etc. In this presentation, I will talk about techniques for visualizing event sequences, from simple to advance, and also show examples that demonstrate the power of visualizations in exploring and understanding event sequences.]]> Thu, 11 Apr 2013 16:18:43 GMT /slideshow/kristw-datavis-summitfinal/18635433 kristw@slideshare.net(kristw) Visualization for Event Sequences Exploration kristw My talk at the Data Visualization Summit in San Francisco April 11, 2013 http://theinnovationenterprise.com/summits/data-visualization-sf ---------------- Abstract ---------------- Many aspects of our lives can be captured and described as series of events, or event sequences. These event sequences can be keys to understanding many things: medical services, logistics, sports, user behavior, etc. In this presentation, I will talk about techniques for visualizing event sequences, from simple to advance, and also show examples that demonstrate the power of visualizations in exploring and understanding event sequences. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kristwdatavissummitfinal-130411161843-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> My talk at the Data Visualization Summit in San Francisco April 11, 2013 http://theinnovationenterprise.com/summits/data-visualization-sf ---------------- Abstract ---------------- Many aspects of our lives can be captured and described as series of events, or event sequences. These event sequences can be keys to understanding many things: medical services, logistics, sports, user behavior, etc. In this presentation, I will talk about techniques for visualizing event sequences, from simple to advance, and also show examples that demonstrate the power of visualizations in exploring and understanding event sequences.

Visualization for Event Sequences Exploration from Krist Wongsuphasawat

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0 https://cdn.slidesharecdn.com/profile-photo-kristw-48x48.jpg?cb=1663032754 Computer scientist/engineer specialized in data visualization and human-computer interaction with versatile programming skills and personal interest in graphic design. Interested in data visualizations, data analysis and user interface design. Specialties: information visualization, data visualization, visual analytics, user interface, human-computer interaction kristw.yellowpigz.com https://cdn.slidesharecdn.com/ss_thumbnails/whatitellmyselfbeforevisualizingv8-220913013325-247b0a24-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/what-i-tell-myself-before-visualizing/252942386 What I tell myself bef... https://cdn.slidesharecdn.com/ss_thumbnails/navigatevislibforshare-210205032044-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/navigating-the-wide-world-of-data-visualization-libraries/242282197 Navigating the Wide Wo... https://cdn.slidesharecdn.com/ss_thumbnails/encodabletalk-210127151048-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/encodable-configurable-grammar-for-visualization-components/241914055 Encodable: Configurabl...