This document provides an overview of data journalism. It defines data journalism and discusses where data can be obtained from, including government agencies, NGOs, and social media. The process of data journalism is outlined as finding data, analyzing it, cleaning it, and visualizing it using tools like HTML, CSS, JavaScript, and various chart types. An example project is described that looks at immigration data in the EU to analyze trends over time and differences between countries. Resources for learning more about data journalism are also listed, including books, movies, blogs, and organizations in the field.
9. WHERE TO GET DATA FROM?
From someone Yourself
International organisations
National bureau of statistics
Governmental agencies
NGOs
Researches
Companies
Social media
Crowdsourcing
Pooling
Surveying
Monitoring
Experimenting
12. Find
Search certain sites
site:company.com key word
Find cashed site
cache:http://comapny.com
Exact phrase searching
“refugee crisis”
Two words are close to each other,
but not necessarily in a specific order
refugee AROUND(2) crisis
Exclude terms
European refugee -crisis
File type searching
refugee crisis filetype:pdf
Occurrences in the title of the page
allintitle:refugee crisis
Occurrences in the links to the page
allinanchor:refugee crisis
Similar terms
Christmas ~dessert recipes
Google advanced search
https://www.google.com/
advanced_search
20. QUESTIONS OF INTEREST
➤ To which European countries most of the immigrants are
going to?
➤ Is it a lot for those countries?
➤ How many people received refugee status from which
European countries in 2013?
➤ Is it a lot for those countries?
21. FOLLOW UP QUESTIONS
➤ What are the most common reasons for asylum seekers to be
rejected?
➤ What happens with rejected asylum seekers?
➤ What policies do countries with big immigrant populations
implement to:
➤ integrate
➤ provide equal opportunities