The Rise and Rise of ICO in late 2017
If you still don’t know what is “blockchain” or what is “bitcoin”, The recent work from Max Galka will assure you this is the high time to do some self-study, or you will miss the birth time of “another Internet”. The idea of ICO, Initial Coin/Chain Offering, is an analogy of IPO. With the inception of “smart contract” capability, fundraising, a process to exchange currency to certificate, can be done in a distributed manner. The “currency” in the chain world can be Ethereum, NEO, BitCoin, … The “certificate” in the chain world is called “token” so the ICO process is also referred to as “token sale”. The convenience of ICO gains rapid growth with crazy capitals pouring into this field. Just check out this interactive/ animated token sale history.
Screenshot: The ICO Market Cap to date (Nov 2017)
Continue reading “Data News of the Week | Visualising the Blockchain”
On December 22, 2017, President Trump signed the Tax Cuts and Jobs Act. How does it matter to the companies and citizens?
Tax is one of the crucial parts of the country’s economic. Under the globalization, US tax policy might relevant to your life. The economic trends could affect you and the steps you might need to take so you can profit from it. Moreover, there are lots of data in the tax policies which could turn into some good data news. This week we will share some Trump’s new GOP tax cut plan data news.
What is the Tax Cuts about?
☞Trump’s Tax Plan and How It Affects You [Link]
The whole tax bill cuts the corporate tax rate from 35% to 21% and the top individual tax rate will drop to 37%, which used to be 39.6% in 2017.
The following chart shows the progressive tax rate before and after the bill, in one Table. We find that table is an effective way to display data with high density. It seems the tax will be deducted for everyone except for the lowest income bracket.
Read more: Corporate Income Tax: Definition, History, Effective Rate
Continue reading “Data News of the Week | US Tax Cuts and Jobs Act”
Cover photo credit: Monitour Project
We have a special edition for DNW this week dedicated to e-waste in Hong Kong. The notes are derived from a seminar plus brainstorm session with researchers from CUHK, HKBU, PolyU, Lingnan U, activists from Land Justice, Open Data Hong Kong, CODE4HK. This is a quick note from memory, so evidence/ statistics/ figures quoted in this note need further verification before you use them. There are enough pointers for the reader to go back the source and find direct contacts.
The news points to follow
E-waste refers to the abandoned Electric and Electronic Equipments (EEE). With the booming of ICT industry, we are witnessing more and more e-waste these days. Why should you care? Let’s cut through the news points first:
- 75% e-waste is disappeared, as Green Peace estimates. It collects data of EEE production and calculates expected e-waste according to the lifespans of devices. Comparing this with the e-waste collection data from formal government bodies, we can see a 75% gap, meaning those are lost track
- 97.7% e-waste in Hong Kong goes to unknown channels (figure in 2009; may change due to new recycling plant; government is trying to increase supervised channels). This may signal a large number of illegal operation, but not necessary all illegal.
- Hong Kong used to import a large volume of e-wastes given the loophole in the legislations. Those e-wastes went to mainland China for processing. The export to China was disrupted at 2015.
- Yards/ factories/ workshops that collect, process and dump e-wastes exist in many remote locations in Hong Kong, especially New Territory. Those locations are not easily accessible, protected by “private lands” and “gangs”, as put by Land Justice investigators.
- Many workers in those yards are illegal immigrants, for example from mainland and South East Asia. They usually work without proper protective measures.
Continue reading “Data News of the Week | e-waste in Hong Kong”
Do you still remember the massive Panama Paper leak in 2016? When 13.4 million financial documents were released in this November, the offshore paradise islands got global attention again. Paradise Papers cover the time period from 1950 to 2016, including the more than 120,000 people and 25,000 offshore companies.
Tech-savvy readers can jump to the database directly. Like before, the dataset is modelled as a graph, namely treating the Officers, Intermediaries and Addresses as nodes and their relationships as links. Neo4j is one widely adopted graph database. Its web user interface, called “neo4j browser”, allows journalists to visually expand and explore a graph. The query language “Cypher” is a superset of relational query (SQL), full-text search and graph pattern matching. Its flexibility and built-in graph algorithms allow experienced journalists to systematically study the underlying graph. The download page on ICIJ includes snapshots of four neo4j databases exported in CSV format.
Continue reading “Data News of the Week | Paradise Papers”
“North Korea” or “Democratic People’s Republic of Korea (DPRK)” are recurrent and frequent headlines in the newspapers. The recent advances in missile technology and nuclear tests threatens the world and creates a lot of geopolitical tensions. Our editor would like to share relevant data projects this week.
The “wholesale” packages
Assuming you are too busy to study all the background information and catch up the latest news, here are two must-read projects that get you up to date in 30 minutes.
☞ Immersive reporting from ESRI StoryMaps: side by side comparison of two Koreas in multiple angles [Link]
Continue reading “Data News of the Week | North Korea Tensions”
The closing session of 19th National Congress of the Communist Party of China finished this week. New Politburo Standing Committee presented to the Media, putting Beijing in the centre of world attention. This DNW hand-picks recent data news related to Power in China.
☞ 25 year’s political path to Power in China [Link]
Bloomberg Politics made an unconventional data visualisation to show The Path to Power in China. Readers can easily tell running a Big Region is important in China, by reading the following line chart. The chart successfully turned categorical position data into ordinal data by sorting the importance, namely number of people who entered Standing Committee from that position.
Continue reading “Data News of the Week | Power in China”
Noble Prize and Policy Address 2017.
Nobel Prize. Michael Greshko from National Geographic finds out that Nearly 900 People Have Won Nobel Prizes. Only 48 Were Women. The gender gap exists, regardless that female winners are increasing in recent years.
Continue reading “Data News of the Week | Nobel Prize and Hong Kong Chief Executive Policy Address”
The Sharing Economy is a socio-economic ecosystem built around the sharing of human, physical and intellectual resources.
Whilst the Sharing Economy is currently in its infancy, this is only the beginning: in its entirety and the potential, it is a new and alternative socio-economic system which embeds sharing and collaboration at its heart – across all aspects of social and economic life.
The leading businesses that are advancing the concept of the “sharing economy” are in many respects no longer insurgents and newcomers. The size and scale of Uber, Airbnb and several other firms now rival, or even surpass, those of some of the world’s largest businesses in transportation, hospitality, and other sectors. As the economic power of these technology-driven firms grows, there continue to be regulatory and policy skirmishes on every possible front, across cities and towns spanning the United States, Europe and beyond.
Here is one example in China:
Continue reading “Data News of the Week | Sharing Economy & Other projects”
Continue reading “Data News of the Week | 《香港01》的特首競選數據可視化分析”
Since Trump became the President of the U.S., his Twitter also became the main source of the news.
Twitter is still banned in mainland China, however, can not stop the Chinese internet users to follow and make fun of it.
Here is a Data News of Trump’s Twitter from FT.Chinese.com
(This is a repost from FT.Chinese.com by Silva Shih, click the link to read the original:
Continue reading “Data News of the Week | 分析：特朗普在Twitter上的“中国帖子””