Month: January 2016


This is a book that I have been reading recently, which is strongly recommended by some pioneers in data journalism. I would like to mark down some extracts for reference. The extracts would be in Chinese. For English version, please visit Big Data: A Revolution That Will Transform How We Live, Work, and Think. Continue reading ““BIG DATA”, A REVOLUTION, TRANSFORM HOW WE LIVE, WORK AND THINK”

Data & News Society 2nd Colloquium: Why Data Journalism?

For this month, we have the founding Principle Coordinator of Data & News Society, Dr. Roselyn Du to conduct the talk on “Why data journalism”. A lot of journalism students and professors from various fields came to the talk. Continue reading “Data & News Society 2nd Colloquium: Why Data Journalism?”


I am sorry that this article has to been written in Chinese because it’s kind of review of a conference about new media operation in China.

      这次活动请来了四位嘉宾:1. 萧秋水老师; 2. 腾讯石铭;3. 公众微信号骨灰级玩家+管理者杨坤龙;4. 微信公众号粉丝10万+持有人达达令



     秋水老师开篇告诉我们,她是来提问题的,不是来解答问题的。并直接抛出能够让我们认识自我,思考“我是谁”的七个问题:1. 你算什么?2. 你是什么?3. 你懂什么?4. 你能什么?5. 你会什么?6. 你有什么?7.你凭什么? Continue reading “腾讯大讲堂:新媒体运营”

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

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

How to use data to make a hit news story?

The topic comes from a Ted Talk by Sebastian Wernicke: “How to use data to make a hit TV show”. Here is the video talk:

Continue reading “How to use data to make a hit news story?”

ProPublica Summer Data Workshop

ProPublica has proudly announced its first-ever Summer Data Institute, a 10-day intensive workshop on how to use data, design and code for journalism. The workshop will be from June 1st to 15th in our NYC offices.

Original source:

The Summer Data Institute is completely free to attend. ProPublica will provide lodging and cover round trip travel costs to New York City, as well as local travel costs to and from their offices.

Additionally, ProPublica is offering a limited number of need-based stipends to help those who may otherwise not be able to attend. Requests for stipends are part of the application.

当一个data scientist是种什么体验

这篇文章是参加一个分享数据科学活动后的总结和感悟,感谢data scientist – Hu Pili的总结和分享。

活动简介:本次的Symbols & Keys,组织者Mart邀请到了在Facebook London office工作的Hong Chun Leung,前来分享「当一个data scientist是种什么体验」。Hong Chun在去Facebook前曾在UCL攻读Machine Learning专业,也在King(制作Candy Crush的公司)工作过,在数据科学方面有不少实战经验。

Hong Chun Leung 对于问题 “What do data scientists do?” 直接给出答案:“Drive impact, strategy through data.” 并对这个答案解释如下:“A data scientist should know ‘How users are using your product?’, which means a data scientist should 1) understand the product; 2) do experimentation (very very important); 3) build data structure”。 Continue reading “当一个data scientist是种什么体验”

Data & News Society Inaugural Colloquium

The inaugural colloquium of the Data and News Society brought academics and practitioners together on 16 December to present news stories and accompanying visual displays. The inaugural speaker was Hu Pili, director and data scientist from the Initium Lab at Initium Media, which explores the ways of analysing and visualising data within journalism. Mr Hu demonstrated how the lab used voting records from the Hong Kong Legislative Council from Oct 2012 to June 2015 to create a visual display that allows readers to see how individual council members voted in relation to party lines. The graphic was also 3D-printed for the visually impaired. Continue reading “Data & News Society Inaugural Colloquium”