Project description

In 2018, Caixin VisLab keeps purchasing high level data journalism works, no matter in breaking news, daily pieces, or in longterm projects.

2018 is a big year for China. We had the tenth anniversary for “512 Wenchuan Earthquake” and “2008 Beijing Olympic Games”. In memory of the two events, we published two projects, “Ten Years, 512” and “2008-2018: Olympic Venues at the Post-Olympics Age”. In October of 2018, several changes happened to China’s individual income tax, including the tax threshold increased from 3500 to 5000. A news app “Individual Income Tax Calculator” was developed for readers to get the best tax declaration method.

In the meantime, we explored more in important days, like the project “National Treasures In Museums” in International Museum Day, and “the Under-Discovered Alzheimer’s Disease
” in the World Alzheimer’s Day.

Several investigative reports by data visualization were made by us, like the series reports “How Far Is The High-speed Railway Station From You?”, “384 College Students Were Surveyed How They Got Along With Their Teachers, And They Said…”. , “E-Cigarettes Mist”, and “Why Are Patent Drugs So Expensive?”

Also, we believe that data visualization is quite a good way to do environmental reports, so we keep doing that. Several environmental projects were released, like “The Unstable Asian Water Tower ” and “Alarms From The Earth’s Kidney”.

What makes this project innovative?

We had several breakthroughs this year. Firstly, we tried more in 3d visualization, like the 3d illustration for the beginning of "384 College Students Were Surveyed How They Got Along With Their Teachers, And They Said...", and the population contrast graph between day and night in "2008-2018: Olympic Venues at the Post-Olympics Age". Secondly, we tried more ways on data collections. We didn't only get data from existed reports and dataset, but also from surveys and crowdsourcing.

What was the impact of your project? How did you measure it?

We had a lead role not only in Chinese journalism, but also in data journalism education in colleges. When some important things happened, people will think of Caixin Media and see what we are reporting and what we update. Also, in colleges, projects from Caixin Vislab were used as professional examples and were discussed a lot in data journalism workshops. Meanwhile, teams from different media organizations always come to our newsroom and have deep discussions on how we do data news and what role data visualization is playing in Chinese journalism.

Source and methodology

More work of Caixin VisLab: http://datanews.caixin.com/

Technologies Used

Programming language: HTML, CSS, Javascript (d3.js and Three.js) Art: Adobe Suites, Mental Canvas Data: Python, R

Project members

Chen Huang, Mingzhong Geng, Miao Ding, Qian Sun, Zhe Wang, Meng Wei, Jiaxin Liu, Chunyuan Wei, Bin Leng, Xu Gao, Zumin Xia, Jinghua Li, Likun Chen, Yanzuo Liu

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