This document provides an introduction to data journalism. It discusses using data to produce truthful, public interest stories and provides examples such as using Olympic rankings data, statistics on internet users, and traffic accident data. It also covers finding and working with data sources, visualizing data, formulating hypotheses to test with data, and the importance of teamwork in data journalism projects. The key aspects of data journalism are using data to tell important stories, check information, and find hidden trends.
Data journalism involves analyzing publicly available data to find and tell stories in the public interest. It is a team effort involving writers, researchers, statisticians, hackers, and designers. Examples include using data to analyze rankings at the Olympics, traffic accidents, and hurricanes. Journalists obtain data from sources like government agencies, non-profits, or by scraping websites. They analyze the data using tools like Excel, R, ManyEyes, or Tableau and visualize it on maps or interactive visualizations. Data journalism is a form of quality journalism that has been practiced for 50 years and provides new opportunities for reporting while improving transparency.
This document provides an introduction to data journalism for financial reporters and editors. It discusses finding and using various types of data sources like government statistics, NGO data, and web scraping. It also covers visualizing data through tools like ManyEyes, Fusion Tables, and Tableau. The document emphasizes that data journalism tells truthful, public interest stories through analyzing piles of data and stresses the importance of teamwork between writers, researchers, and designers.
Presentatie big data (Dag van de verkoper, Cevora) IntoTheMinds
Presentatie gegeven in Antwerpen en Gent of 30 Mei 2017 en 18 Mei 2017 over Big Data en verkoop.
In deze introductie werd de theorie over Big Data uitgelegd zoals voorbeelden van toepassingen om data te valoriseren. Speciaal aandacht werd gevestigd op juridische aspecten zoals GDPR.
This document provides an introduction to data journalism. It discusses using data to produce truthful, public interest stories and provides examples such as using Olympic rankings data, statistics on internet users, and traffic accident data. It also covers finding and working with data sources, visualizing data, formulating hypotheses to test with data, and the importance of teamwork in data journalism projects. The key aspects of data journalism are using data to tell important stories, check information, and find hidden trends.
Data journalism involves analyzing publicly available data to find and tell stories in the public interest. It is a team effort involving writers, researchers, statisticians, hackers, and designers. Examples include using data to analyze rankings at the Olympics, traffic accidents, and hurricanes. Journalists obtain data from sources like government agencies, non-profits, or by scraping websites. They analyze the data using tools like Excel, R, ManyEyes, or Tableau and visualize it on maps or interactive visualizations. Data journalism is a form of quality journalism that has been practiced for 50 years and provides new opportunities for reporting while improving transparency.
This document provides an introduction to data journalism for financial reporters and editors. It discusses finding and using various types of data sources like government statistics, NGO data, and web scraping. It also covers visualizing data through tools like ManyEyes, Fusion Tables, and Tableau. The document emphasizes that data journalism tells truthful, public interest stories through analyzing piles of data and stresses the importance of teamwork between writers, researchers, and designers.
Presentatie big data (Dag van de verkoper, Cevora) IntoTheMinds
Presentatie gegeven in Antwerpen en Gent of 30 Mei 2017 en 18 Mei 2017 over Big Data en verkoop.
In deze introductie werd de theorie over Big Data uitgelegd zoals voorbeelden van toepassingen om data te valoriseren. Speciaal aandacht werd gevestigd op juridische aspecten zoals GDPR.
New digital technology allows us to improve access to textual resources. In this session you will get a glimpse behind the scenes of two projects currently exploring new, fully or semi-automated ways to make archives searchable and create datasets for re-use.
De sessie 'Digging into archives' tijdens de Netwerkdag Oorlogsbronnen 2018 'Lost and Found'.
Met Anne Gorter (project manager Dutch National Archives), Edwin Klijn (project manager Netwerk Oorlogsbronnen + projectleider TRIADO), Rutger van Koert (developer HuygensING / KNAW Humanities Cluster) en Marten Düring (member Scientific Advisory Committee TRIADO, University of Luxembourg.
Flevum Executive - 140508 - Digitale Omgeving - Big Data in de praktijk - Pre...Flevum
Digitale Omgeving | Big Data in de praktijk
Spreker: Jeroen Sparla, CEO AcademicTransfer
Big Data is een actueel buzzword. We horen en lezen het overal, maar wie heeft er ooit echt mee te maken gehad en wat betekent het nu in de praktijk? Tijdens de bijeenkomst 'Big Data in de praktijk' zal Jeroen Sparla, CEO van AcademicTransfer tekst en uitleg geven over de ervaringen van AcademicTransfer met Big Data op basis van:
De probleemstelling
De aanpak
Het resultaat
De conclusies
De probleemstelling?
De Nederlandse universiteiten hebben een toenemende behoefte aan buitenlandse getalenteerde wetenschappers: talent. AcademicTransfer is al 17 jaar het vacature portaal voor o.a. de universiteiten. De vraag is hoe we nog specifieker en gerichter internationaal talent kunnen bereiken en individuele universiteiten adviseren voor welke van hun faculteiten talent waar ter wereld te werven.
De aanpak?
AcademicTransfer beschikt over jarenlange verzamelde data uit verschillende bronnen, waaronder de vacatures zoals op haar website geplaatst, google analytics bezoekers data en server logs. De gekozen partner Intelligence-Group beschikt over data die aangeeft in welke landen de bereidheid onder wetenschappers bestaat om naar Nederland te komen en de pull-factoren waarmee ze te verleiden zijn. Al deze data-sets zijn op een intelligente wijze met elkaar in verbinding gebracht.
Het resultaat?
Voor elke universiteit een rapportage waarin opgenomen welke vacatures in bepaalde landen, steden en bij buitenlandse universiteiten goed scoorden. Hierdoor kan op basis van de gecombineerde data analyses getoond worden op welke plaatsen wereldwijd clusters van talent op een vakgebied te vinden zijn én waar de bereidheid is om naar Nederland te verhuizen. Daarnaast is de data ook gebruikt om een rapportage te maken voor organisaties uit Brainport Regio (Eindhoven e.o), met bedrijven als ASML, Philips, SKF, TU/e e.a. Hieruit blijkt dat het gebrek aan technisch talent voor deze regio oplosbaar is als men gericht wereldwijd kan werven op basis van de onderzoeksconclusies. Deze openbare rapportage is hier te downloaden: http://bit.ly/brainportrapport
De conclusies?
Op basis van veel "dode data" die in verschillende databases in de organisatie aanwezig is, is via een Big Data analyse mogelijk gebleken antwoord te geven op recruitment vraagstukken van de universiteiten en, als pilot, voor Brainport regio. Dit was een eerste try-out, en op basis van de zeer goed ontvangen resultaten worden de rapportages jaarlijks uitgevoerd en worden de verzamelde gegevens nog verder geoptimaliseerd om in toekomstige jaren de rapportages nog specifieker te maken.
De laatste tijd hoor je het regelmatig: organisatie verwachten een groot tekort aan data scientists. Maar wie is nu precies die data scientist? Welke eigenschappen bezit hij of zij en welke vaardigheden zijn noodzakelijk? In het webinar Hoe word ik Big Data Professional geven we in 60 minuten een overzicht. We leggen de nadruk op de manier waarop je een succesvolle Big Data professional wordt, wat jouw mogelijkheden zijn en hoe je uiteindelijk jouw doel behaalt. Bovendien geven we een korte introductie in wat Big Data zijn en bespreken we een praktijkcase.
Open Data for local governments - De Samenkomst, Aelbeke, KortrijkOpening-up.eu
Open Data presentatie Leiedal De Samenkomst op 10 december 2013 20131210 opendata
Open Data for local governments - De Samenkomst, Aelbeke, Kortrijk wouter Degadt wouterdegadt
Talk I gave at the Data Science Northeast Netherlands Meetup, where I detail the custom in-house entity linking framework, sentiment analysis, and entity salience scoring model we developed for Company.info, in addition to showing some example applications of our corpus of news articles linked to organization profiles.
Running linux on android in virtual boxpeterverweij
This document provides instructions for running Linux on Android using virtualization software. It outlines installing VirtualBox on a PC, then installing Remix OS in VirtualBox to run Android apps on the PC. It also describes installing Linux Deploy to install and run Linux distributions within an Android virtual machine. Links are included for tutorials on installing Remix OS in VirtualBox and installing Linux Deploy on Android to convert it to a Linux system.
The UNFPA started a journalism training program in Myanmar to help rebuild journalism using census data. The program trains journalists on data journalism to enhance reporting quality. Journalists learn to analyze census data on topics like disability, life expectancy, water access and housing to write stories that compare regions and Myanmar to its neighbors. The goal is for data-driven stories to become routine in Myanmar newsrooms and help inform the public through credible data.
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New digital technology allows us to improve access to textual resources. In this session you will get a glimpse behind the scenes of two projects currently exploring new, fully or semi-automated ways to make archives searchable and create datasets for re-use.
De sessie 'Digging into archives' tijdens de Netwerkdag Oorlogsbronnen 2018 'Lost and Found'.
Met Anne Gorter (project manager Dutch National Archives), Edwin Klijn (project manager Netwerk Oorlogsbronnen + projectleider TRIADO), Rutger van Koert (developer HuygensING / KNAW Humanities Cluster) en Marten Düring (member Scientific Advisory Committee TRIADO, University of Luxembourg.
Flevum Executive - 140508 - Digitale Omgeving - Big Data in de praktijk - Pre...Flevum
Digitale Omgeving | Big Data in de praktijk
Spreker: Jeroen Sparla, CEO AcademicTransfer
Big Data is een actueel buzzword. We horen en lezen het overal, maar wie heeft er ooit echt mee te maken gehad en wat betekent het nu in de praktijk? Tijdens de bijeenkomst 'Big Data in de praktijk' zal Jeroen Sparla, CEO van AcademicTransfer tekst en uitleg geven over de ervaringen van AcademicTransfer met Big Data op basis van:
De probleemstelling
De aanpak
Het resultaat
De conclusies
De probleemstelling?
De Nederlandse universiteiten hebben een toenemende behoefte aan buitenlandse getalenteerde wetenschappers: talent. AcademicTransfer is al 17 jaar het vacature portaal voor o.a. de universiteiten. De vraag is hoe we nog specifieker en gerichter internationaal talent kunnen bereiken en individuele universiteiten adviseren voor welke van hun faculteiten talent waar ter wereld te werven.
De aanpak?
AcademicTransfer beschikt over jarenlange verzamelde data uit verschillende bronnen, waaronder de vacatures zoals op haar website geplaatst, google analytics bezoekers data en server logs. De gekozen partner Intelligence-Group beschikt over data die aangeeft in welke landen de bereidheid onder wetenschappers bestaat om naar Nederland te komen en de pull-factoren waarmee ze te verleiden zijn. Al deze data-sets zijn op een intelligente wijze met elkaar in verbinding gebracht.
Het resultaat?
Voor elke universiteit een rapportage waarin opgenomen welke vacatures in bepaalde landen, steden en bij buitenlandse universiteiten goed scoorden. Hierdoor kan op basis van de gecombineerde data analyses getoond worden op welke plaatsen wereldwijd clusters van talent op een vakgebied te vinden zijn én waar de bereidheid is om naar Nederland te verhuizen. Daarnaast is de data ook gebruikt om een rapportage te maken voor organisaties uit Brainport Regio (Eindhoven e.o), met bedrijven als ASML, Philips, SKF, TU/e e.a. Hieruit blijkt dat het gebrek aan technisch talent voor deze regio oplosbaar is als men gericht wereldwijd kan werven op basis van de onderzoeksconclusies. Deze openbare rapportage is hier te downloaden: http://bit.ly/brainportrapport
De conclusies?
Op basis van veel "dode data" die in verschillende databases in de organisatie aanwezig is, is via een Big Data analyse mogelijk gebleken antwoord te geven op recruitment vraagstukken van de universiteiten en, als pilot, voor Brainport regio. Dit was een eerste try-out, en op basis van de zeer goed ontvangen resultaten worden de rapportages jaarlijks uitgevoerd en worden de verzamelde gegevens nog verder geoptimaliseerd om in toekomstige jaren de rapportages nog specifieker te maken.
De laatste tijd hoor je het regelmatig: organisatie verwachten een groot tekort aan data scientists. Maar wie is nu precies die data scientist? Welke eigenschappen bezit hij of zij en welke vaardigheden zijn noodzakelijk? In het webinar Hoe word ik Big Data Professional geven we in 60 minuten een overzicht. We leggen de nadruk op de manier waarop je een succesvolle Big Data professional wordt, wat jouw mogelijkheden zijn en hoe je uiteindelijk jouw doel behaalt. Bovendien geven we een korte introductie in wat Big Data zijn en bespreken we een praktijkcase.
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The UNFPA started a journalism training program in Myanmar to help rebuild journalism using census data. The program trains journalists on data journalism to enhance reporting quality. Journalists learn to analyze census data on topics like disability, life expectancy, water access and housing to write stories that compare regions and Myanmar to its neighbors. The goal is for data-driven stories to become routine in Myanmar newsrooms and help inform the public through credible data.
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1) The document analyzes tweets related to three plane crash incidents to understand how Twitter functions as a news source in fast-breaking situations.
2) It finds that for a crash at Schiphol Airport, over half the tweets in the first three hours were news and came from citizen reporters, making Twitter the primary source of information for mainstream media.
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3. Programma
• Kennismaking en programma
• Achtergrond, werkterrein en kennis
• Eigen materiaal/opdracht
• Intro: wat is datajournalistiek?
• Wat is Excel? Kennismaking met Excel; basics van
Excel.(formules, ordenen en selecteren)
• Zoeken naar data
• Importeren van data
4. Programma (vervolg)
• Excel advanced: draaitabellen en grafieken
• Demo met R
• Scrapen van datamet Ouwit Hub; simple en script
• Opschonen van data met Refine
• Visualisering:
• Fusion tables(markers/polygoon);
• Tableau (demo)
• Van data naar verhaal: cyclus van de datajournalistiek
• Presentaties: eigen productie
• (Facultatief: sociale netwerkanalyse)
5. Aanvullingen:
• Van pdf naar excel: http://www.pdftoexcelonline.com/nl/
• Bronnen: open data
• http://datacatalogs.org/ zoek op nl of be; of http://thedatahub.org/
• http://opendatanederland.org/ voor nl en http://data.gov.be/ voor belgie
• Overheid: https://data.overheid.nl/
• Guardian: http://www.guardian.co.uk/data/global-development-data/search en
http://www.guardian.co.uk/world-government-data
• Favorites of Guardian: http://www.guardian.co.uk/news/datablog/
rechts op de pagina
• IBM ManyEyes: http://www-
958.ibm.com/software/data/cognos/manyeyes/
• Google public data:
http://www.google.com/publicdata/directory?hl=en_US&dl=en_US!
• Handig: http://ge.tt/ en http://goo.gl/
• Check: http://www.bigwobber.nl/
7. Olympic Rankings: numbers
Lessons
Official Ranking
Other Factors:
Population, GDP, Tea
m
Corrected Ranking
8. Rating Souvereign Debt:
statistics
Rating Agencies and
interest rates in EU
countries.
Here is the Guardian:
http://www.guardian
.co.uk/news/datablo
g/2010/apr/30/credit
-ratings-country-
fitch-moodys-
standard?INTCMP=S
RCH
9. Massagesalons in Amsterdam
• Je hoeft niet alles zelf
te doen:
• http://www.os.amste
rdam.nl/nieuws/105
96
10. Traffic Accidents: the story
From Database: 2000
accidents
Top ten
Dangerous junctions
Map is the story
11. Shoot out and licenses: idea
7 dead; 17 wounded
Check the licenses
What do you want to
know?
Methodology:
formulate and
hypothesis
12. Mayors: gender and political party
Appointment of
mayors
Formulate your ideas
first
Test them of the data
Look at the level of
measurement
13. Members of the Parliament
NL parliament data
And here is my map
14. Finding Data
WHERE: HOW:
National Bureau for Download
statistics Copy-paste
NGO's scraping
Web: find excel
Web: tables
15. Mother of all Data Journalism
Spreadsheets Ordering data
MS Office: excel Simple calculations
Open Office for key figures
Graphs
16. Wat is Excel?
• Wordprocessor voor tekst; Excel voor cijfers
• Belang van spreadsheets:
–Meer data en cijfers beschikbaar
–Meer data in beleid
–Datajournalistiek
• Soorten spreadsheets:
–Microsoft Office: 2010 xlsx en 2003 xls
–Open Office
• Spreadsheets en databases
• Werk met Firefox en Google account!
18. Data Journalism: team work and
important
IMPORTANT TEAM WORK
More data Writer
More use of data for Researcher
policies Hacker
Check Designer
Find hidden trends
19. Zoeken en Importeren naar Data
• Databases: bevolking
• nl, be, za en eg; (cbs’en)
• Zoekstrategie; standaardbronnen
• Gespecialiseerde zoekmachines: public data en wolframa
• Google advanced
• Importeren: burgemeesters in nl
• Van pdf naar xls met cometdocs
• Downloaden: xls en cvs
• Copy paste
• Importhtml
• Scrapen: outwit hub
