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The Data & News Society

~ news/numbers; stats/stories

The Data & News Society

Tag Archives: Data Vis

2016 U.S. Elections: 50 Interactive visualizations…

06 Thursday Oct 2016

Posted by Bobo Wei in news story, Resources

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Tags

Data Journalism, Data Vis, news

(This is a repost from Visualoop.com, Written by Tiago Veloso. Find the original here: http://visualoop.com/blog/95859/2016-u-s-elections-50-interactive-visualizations-to-explore )

The Second 2016 Presidential debates between Hillary Clinton and Donald Trump will be on Sunday October 9, start from 9pm ET (8pm CT, 7pm MT, 6pm PT), at Washington University in St. Louis, St. Louis, MO; the Moderator are Martha Raddatz, Chief Global Affairs Correspondent and Co-Anchor of “This Week,” ABC and Anderson Cooper, Anchor, CNN.

Continue reading →

Data News of the Week | 2016 U.S. Elections: 50 Interactive visualizations…

06 Thursday Oct 2016

Posted by Bobo Wei in news story, Resources

≈ Leave a comment

Tags

Data Journalism, Data Vis, DNW, news

(This is a repost from Visualoop.com, Written by Tiago Veloso. Find the original here: http://visualoop.com/blog/95859/2016-u-s-elections-50-interactive-visualizations-to-explore )

The Second 2016 Presidential debates between Hillary Clinton and Donald Trump will be on Sunday October 9, start from 9pm ET (8pm CT, 7pm MT, 6pm PT), at Washington University in St. Louis, St. Louis, MO; the Moderator are Martha Raddatz, Chief Global Affairs Correspondent and Co-Anchor of “This Week,” ABC and Anderson Cooper, Anchor, CNN.

Continue reading →

Muckrakers & Coders: Building the New Investigative Team

24 Saturday Sep 2016

Posted by Bobo Wei in general, Resources

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Big Data, data, Data Journalism, Data Vis, GIJC, GIJC16, news

Coding is becoming a crucial skill for investigative journalism teams. But getting great results is not always easy, as mindsets differ. Learn from three women who have led multidisciplinary teams of coders and muckrakers.

IMG_0386.JPG

Continue reading →

[Update]2016年香港立法會選舉點票結果

05 Monday Sep 2016

Posted by chloezhaoD&N in news story, Resources

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data, Data Vis, news

Please tune into 直播:2016年香港立法會選舉點票結果 (The Initium) for live report.

(This is a repost from The Initium by 香港組, click the link to read the original:

https://theinitium.com/article/20160905-hongkong-legco-liveresult/)

2016香港立法會選舉地區直選中的35個席位全部產生,本屆非建制派(泛民及本土)共有19人脱穎而出,其中泛民16人,本土派3人,整體較上屆多出一席。而建制派則獲16席,比上屆減少一席。這樣,非建制派將獲得地區直選分組點票的否決權。

dd5e614e350f4da9ac31fdd1c15a2132

各個地區直選最新結果: Continue reading →

Where will the next next Olympic Games be held?

22 Monday Aug 2016

Posted by chloezhaoD&N in Resources

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Data Vis, news

The original article is posted on Caixin Datanews: 下届夏季奥运在东京,再下一届呢?

里约奥运会落幕,闭幕式上日本首相安倍晋三以超级玛丽造型告诉全世界:东京来了。东京于2013年在最终的三个城市中获得胜利,取得2020年夏季奥运会的主办权。

从1896年至今现代奥运会的申办城市数量来看,世界各国对奥运的热情在慢慢降温。申奥争夺高峰集中在20世纪20年代至60年代。最多的一次是1936年夏季奥运会举办权争夺战,有13个城市参选,单纳粹德国就有柏林、科隆、纽伦堡、法兰克福四个城市参选。而1984年夏季奥运会举办权则只有洛杉矶一家参选。最近几次夏季奥运会申办城市数量仅维持在四个上下。

里约奥运会这届“惊喜处处”的奥运会差一点就在西班牙马德里举行。奥运主办权遴选信息网站GamesBids资料显示,在2009您的第一轮投票中,西班牙的马德里票数领先巴西里约热内卢,不过在其后两轮投票里约赶超马德里。 Continue reading →

Data News of the Week | Where will the next next Olympic Games be held?

22 Monday Aug 2016

Posted by chloezhaoD&N in Resources

≈ Leave a comment

Tags

Data Vis, DNW, news

The original article is posted on Caixin Datanews: 下届夏季奥运在东京,再下一届呢?

里约奥运会落幕,闭幕式上日本首相安倍晋三以超级玛丽造型告诉全世界:东京来了。东京于2013年在最终的三个城市中获得胜利,取得2020年夏季奥运会的主办权。

从1896年至今现代奥运会的申办城市数量来看,世界各国对奥运的热情在慢慢降温。申奥争夺高峰集中在20世纪20年代至60年代。最多的一次是1936年夏季奥运会举办权争夺战,有13个城市参选,单纳粹德国就有柏林、科隆、纽伦堡、法兰克福四个城市参选。而1984年夏季奥运会举办权则只有洛杉矶一家参选。最近几次夏季奥运会申办城市数量仅维持在四个上下。

里约奥运会这届“惊喜处处”的奥运会差一点就在西班牙马德里举行。奥运主办权遴选信息网站GamesBids资料显示,在2009您的第一轮投票中,西班牙的马德里票数领先巴西里约热内卢,不过在其后两轮投票里约赶超马德里。 Continue reading →

South China Sea in Data

15 Friday Jul 2016

Posted by chloezhaoD&N in news story, Resources

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Tags

Data Vis, DNW, news

Since the ruling of South China Sea came out, this has become the most discussed international issue this week. Seems like every country connected with South China Sea wants a piece of it. Here’s how different country defines their own mare clausum from Bloomberg. Continue reading →

How humans perceive graphics

05 Sunday Jun 2016

Posted by Jeff South in general

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Data Vis

As I sit at the Hong Kong airport awaiting my flight to Italy, I saw this article on Medium, a popular publishing platform. It’s by a visual journalist at The Washington Post, and it relates to the data visualization work we did this past week:

39 studies about human perception in 30 minutes

Among other things, the article raises a fascinating question: Is data visualization a science or a language — or both? As Kennedy Elliot writes:

I don’t think data visualization or data storytelling is prescriptive; I think there are many options and an infinite number of possible visualizations, many we haven’t even discovered yet.

But perhaps it’s not purely a language either. Obviously there are biases and distortions we bring with us when viewing graphing frameworks and objects, some of which is learned, but some of which seems inherent.

 

 

“Big Data” Tells You the Air Pollution in Beijing – Version 1.0

22 Friday Jan 2016

Posted by tanssizhang in Gallery

≈ 1 Comment

Tags

Data Vis

Thanks to “Jackathon #8 Make an infographic in 4 hours”  held by Intium Lab. I made some data visualisations of Air Quality in Beijing from the Year 2008 to 2015.

What is the data source and how big the data is?

The original data set includes 8 separate spreadsheets, each of which represents one year and contains about 10,000 lines of records. So after combining and cleaning the data, the total Excel file contains 121127 rows. However, the truth is, if we don’t do some cleaning, the data would be much larger. Continue reading →

The Blossoming World of Data Visualisation

27 Friday Nov 2015

Posted by tanssizhang in general

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Data Vis

When “Data” and “News” get married, they have a lot of babies who have different characteristics, which means “Data Journalism Family” inevitably involves many fields about “Data Science“.

Yesterday I came to a meetup held in WanChai about data visualisation (one of the family’s child in data journalism). The speaker is Mart, and here is his Bio from Trello: Continue reading →

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