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DATA JOURNALISM
Nika Aleksejeva
Infogram
2015
Design
Journalism
Programming
Statistics
Florence
Nightingale
The Cholera Map of John Snow (1854)
Florence
Nightingale
Alastair Dant
David Leigh
Afghanistan war logs: our selection of significant incidents (2010)
Pro Publica
DATA JOURNALISM VS. JOURNALISM WITH DATA
WHERE TO GET DATA FROM?
From someone Yourself
International organisations
National bureau of statistics
Governmental agenc...
PROCESS OF DATA JOURNALISM
Find
Analyse
Clean
Visualize
Find
Find
Search certain sites
site:company.com key word
Find cashed site
cache:http://comapny.com
Exact phrase searching
“refu...
Find
Google scrapers
Clean
Analyse
Visualize
Manual AutomatedSemi-automated
HTML
CSS
Javascript
One dimension Two dimensions Three+ dimensions
Bar
LineAreaPie Picto
Scatterplot
Bubble
Compare See tendency Relationships...
AN EXAMPLE
+
Are many of immigrants in EU refugees?
QUESTIONS OF INTEREST
➤ To which European countries most of the immigrants are
going to?
➤ Is it a lot for those countries...
FOLLOW UP QUESTIONS
➤ What are the most common reasons for asylum seekers to be
rejected?
➤ What happens with rejected asy...
RESOURCES
Youtube
Twitter
#ddj
#datajournalism
Forums
NICAR-L
DDJ mailinglist
Books
Data Journalism Handbook
Finding Stori...
HAVE A GOOD DATA-
DRIVEN TIME!
@nikaaleksejeva
nika.aleksejeva@gmail.com
Introduction in Data Journalism
Introduction in Data Journalism
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Introduction in Data Journalism

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What is data journalism and what does it take to produce a data-driven story? Learn more from this short presentation I originally used at the week-long journalism project "Diversity Voices" in Budapest, 2015.

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Introduction in Data Journalism

  1. 1. DATA JOURNALISM Nika Aleksejeva Infogram 2015
  2. 2. Design Journalism Programming Statistics
  3. 3. Florence Nightingale The Cholera Map of John Snow (1854)
  4. 4. Florence Nightingale
  5. 5. Alastair Dant David Leigh Afghanistan war logs: our selection of significant incidents (2010)
  6. 6. Pro Publica
  7. 7. DATA JOURNALISM VS. JOURNALISM WITH DATA
  8. 8. 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
  9. 9. PROCESS OF DATA JOURNALISM Find Analyse Clean Visualize
  10. 10. Find
  11. 11. 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
  12. 12. Find Google scrapers
  13. 13. Clean
  14. 14. Analyse
  15. 15. Visualize Manual AutomatedSemi-automated HTML CSS Javascript
  16. 16. One dimension Two dimensions Three+ dimensions Bar LineAreaPie Picto Scatterplot Bubble Compare See tendency Relationships Map Visualize
  17. 17. AN EXAMPLE + Are many of immigrants in EU refugees?
  18. 18. 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?
  19. 19. 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
  20. 20. RESOURCES Youtube Twitter #ddj #datajournalism Forums NICAR-L DDJ mailinglist Books Data Journalism Handbook Finding Stories With Spreadsheets Movie Journalism in the Age of Data Blogs Dear Data Flowing Data Data Counts (Spanish) Organizations Open Knowledge - School of Data EJC - Data Driven Journalism
  21. 21. HAVE A GOOD DATA- DRIVEN TIME! @nikaaleksejeva nika.aleksejeva@gmail.com

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