Tag: data

活用多個數據庫做企業背景調查:一篇民間調查的方法解析

原文:我猜你们一定很想了解一下红黄蓝

隨著北京紅黃藍幼兒園的虐童事件的不斷發酵,微博熱搜一度出現:「三種顏色不能上熱搜」熱門話題。中國社交媒體的兩大平台「微博」和「微信公眾號」的網絡大V們仍舊不斷在針對此次事件从不同角度發表各種文章。這次小編帶大家看看一個經常以吐槽科技公司及其產品的科技自媒體「差評君」,在第一時間發表了的一篇針對「紅黃藍幼兒園經營背景」的調查,獲得超過十萬加阅读量的微信公眾號文章。

這篇文章通過網絡公開資料,以熟練運用各種搜索工具作為主要手段,呈現了一個數據調查報道的成功案例。小編進行「逆向工程」,帶大家分析一下這篇文章中使用到的數據庫和調查手段。

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Learn Spreadsheet to Mine Data and Jumpstart Your Data Journalism Career – A Sharing by Aimee Edmondson

Aimee Edmondson is now an Associate Professor with Scripps School of Journalism, Ohio University. HKBU students are very lucky to have this knowledgeable and passionate speaker to talk about data journalism this afternoon. Her 12 years in reporting and later acquired statistics and technology are a fine combination for a data journalist. In the world where people are too fascinated by new technology and numerous boot camps are created by non-journalists, Aimee can be a role model for those “traditional journalists” who are moving in this direction.

Why does data matter? In Aimee’s words, you want to be a reporter, not a repeater. Data helps one to verify what the source is saying and find out what is really happening. To be pragmatic, we are seeing more and more JD requiring data analytics skills from investigative reporters. Going beyond the journalism domain, the skills trained by data journalism can well fit into corporate communication, public relation and advertising industry.

Picture: Job boards on IRE, from the slides

To start, one only needs to work on “small data”, with a spreadsheet.

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Public Sharing: What can non-coders achieve in 3 months?

Title: What can non-coders achieve in 3 months? – A sharing of three journalism students from JOUR2106 Course.

Time: Nov 29 (Wed) ,3:30 p.m.-5:00 p.m.

Venue: CVA 1024

Introduction:

Some students are curious about the outcome of JOUR2106 Data Visualization for News. Since there is a lot of interest, we will hold a DNN event and invite three students who took JOUR2106 last year to introduce their projects and share a personal experience. Registration: No need for sign-up in prior.

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Data News of the Week | Paradise Papers

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.

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Data News of the Week | North Korea Tensions

“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]

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Recap of Oct 2017 Data Journalism Bootcamp in HKBU

The 2-day Data Journalism Boot Camp was successfully held in HKBU on Oct 26 and Oct 27. The event was sponsored by KAS and the workshop sessions were led by two experienced trainers from DataLEADS. Another highlight of the event was a roundtable discussion chaired by Prof. Ying Chen, where professionals shared their practices, challenges and solutions in the newsrooms.

Data Bootcamp in Oct 2017

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Data News of the Week | Power in China

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.

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Data Journalism Boot Camp in Hong Kong

Dear all,

We are honoured to introduce you a one and a half day Data Journalism Boot Camp in Hong Kong.

Location (Map): Room 506, 5/F, Communication and Visual Arts Building (CVA), Hong Kong Baptist University. 

Time: Oct. 26 (Thursday) 9am-5pm & Oct. 27 (Friday) 9am-3pm.

Interested applicants should fill in the online form in this (deadline for applications to be 13 Oct.) link: https://www.surveygizmo.com/s3/3864735/Data-Journalism-Hong-Kong

The workshop will be run by a pair experienced trainers from DataLEADS including the founder and Editor-in-Chief of the Indian Centre for Investigative Journalism.

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100 Year’s Earthquake around Sichuan in D3

Jiuzhaigou, a world-class scenic spot in Sichuan, China, suffered a drastic earthquake on 2017-08-08 21:19:46. People still remember the Wenchuan earthquake that caused thousands of deaths and loss of enormous properties. Does Sichuan have a lot of earthquakes in history? Which counties suffered most from the earthquakes? Pili Hu made this animated chart in D3 overnight for an overview of earthquakes happened in or around Sichuan region in the past 100 years. The data source is https://www.usgs.gov/. See the project in full page here: Sichuan Earthquake in 100 years.

Map Visualisation for Panama Papers and Offshore Leaks in R

(This is a repost from initiumlab.com by Charlie Chen, Chao Tianyi, click the link to read the original: Map Visualisation for Panama Papers and Offshore Leaks in R)

On May 9, 2016, the International Consortium of Investigative Journalists (“ICIJ” in short), a global network of journalists who collaborates on in-depth and investigative stories, released the long awaited offshore entities database behind Panama Papers Investigation.

So far, the offshore leaks database published by ICIJ includes at least 200,000 offshore entities from Panama Papers, and over 100,000 records from ICIJ’s previous investigations.

The offshore leaks database contains detailed contact postal address of all kinds of entities, offshore or non-offshore ones, officers and intermediaries, based on which we made colored maps revealing the distribution of postal address of people or companies involved in the offshore industry.

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