This document provides an overview of a data journalism workshop presented by Christian Kreutz. The workshop introduces data journalism and covers topics such as finding data sources, cleaning and analyzing data, and visualizing data. It provides examples of data journalism projects and outlines tools that can be used for data analysis and visualization. The goal is to teach participants how to find datasets, work with data to uncover stories, and share findings with others.
53. Sort
Filter
Analysis
Data
Table
Interpreta3on
Presenta3on
Clean
54. Toolbox
PDFCrack:
Macht
es
möglich
"verschlossene"
PDFs
auszulesen
hTp://www.pdfcrack.com/
Scraper
Wiki
hTp://scraperwiki.com/
Data
Science
Toolkit
hTp://www.datasciencetoolkit.org/
Data
Wrangler
Wrangler
is
an
interac3ve
tool
for
data
cleaning
and
transforma3on
hTp://vis.stanford.edu/wrangler/
Google
Refine
hTp://code.google.com/p/google-‐refine/
Google
Fusion
Tables
hTp://www.google.com/fusiontables/Home?pli=1
Prezi
Tool
hTp://prezi.com/
Issuemap
hTp://issuemap.org/
Many
Eyes
Tool
hTps://www-‐958.ibm.com/sodware/data/cognos/
manyeyes/login
Tableau
hTp://www.tableausodware.com/public/
Wordle
hTp://www.wordle.net/
7.4.2011
h_da DJ | Daten Recherche | Christian Kreutz
55. Find
Data
Data
Campaign
Journalism
Data
Analysis
Present
Data
79. Data
Coopera3on
Local
municipali3es
Traffic
authority
Frankfurt
Local
news
Journal
Frankfurt
Public
transport
Frankfurter
Neue
Presse
Police
Open
Knowledge
Founda3on
Construc3on
Trash
Frankfurt
Gestalten
7.000
visitors
Non
par3san
20.000
page
views
Voluntarily
per
months
Hub
80. Find
Data
Data
Campaign
Journalism
Data
Analysis
Present
Data