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65 | {{ content }}
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Google Fusion Tables
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Tableau and Tableau Public
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MS Excel
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Open Office
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Adobe Illustrator
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D3
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Raphael.js
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JQplot
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Processing
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GeoCommons
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306 | 307 | 308 | 309 | -------------------------------------------------------------------------------- /PendingMaterial.asc: -------------------------------------------------------------------------------- 1 | Chapter 5: 2 | 3 | SHAWN: We need to find a way to address these level 5 headers, not a variable terms 4 | 5 | === Become Data Literate in 3 Simple Steps 6 | 7 | [[FIG051]] 8 | .Digging into data (http://www.flickr.com/photos/jdhancock/3386035827/[JDHancock]) 9 | image::figs/incoming/05-MM.jpg[width="4.8in"] 10 | 11 | 12 | Just as literacy refers to ``the ability to read for knowledge, write coherently and think critically about printed material,'' data literacy is the ability to consume for knowledge, produce coherently and think critically about data. Data literacy includes statistical literacy but also understanding how to work with large data sets, how they were produced, how to connect various data sets and how to interpret them. 13 | 14 | Poynter's News University offers classes of http://www.newsu.org/courses/math-journalists[Math for journalists], in which reporters get help with concepts such as percentage changes and averages. Interestingly enough, these concepts are being taught simultaneously near Poynter's offices, in Floridian schools, to fifth grade pupils (age 10-11), http://www.k12.com/courses/scope-sequence/ma5f1[as the curriculum attests]. 15 | 16 | That journalists need help in math topics normally covered before high school shows how far newsrooms are from being data literate. This does not go without problems. How can a data-journalist make use of a bunch of numbers on climate change if she doesn't know what a confidence interval means? How can a data-reporter write a story on income distribution if he cannot tell the http://karenberger.suite101.com/mean-median-and-mode-journalists-guide-to-calculating-averages-a352390[mean from the median]? 17 | 18 | A reporter certainly does not need a degree in statistics to become more efficient when dealing with data. When faced with numbers, a few simple tricks can help her get a much better story. As Max Planck Institute professor http://datadrivenjournalism.net/news_and_analysis/the_importance_of_numeracy_for_data_journalists[Gerd Gigerenzer says] says, better tools will not lead to better journalism if they are not used with insight. 19 | 20 | Even if you lack any knowledge of math or stats, you can easily become a seasoned data-journalist by asking 3 very simple questions. 21 | 22 | ==== Question One: How was the data collected? 23 | 24 | Amazing GDP growth:: 25 | The easiest way to show off with spectacular data is to fabricate it. It sounds obvious, but data as commonly commented upon as GDP figures can very well be phony. Former British ambassador Craig Murray reports in his book, http://www.amazon.com/Murder-Samarkand-Ambassadors-Controversial-Defiance/dp/1845962214[Murder in Samarkand], that growth rates in Uzbekistan are subject to intense negotiations between the local government and international bodies. In other words, it has nothing to do with the local economy. GDP is used as the number one indicator because governments need it to watch over their main source of income: VAT. When a government is not funded by VAT, or when it does not make its budget public, it has no reason to collect GDP data and will be better off fabricating them. 26 | 27 | Crime is always on the rise:: 28 | ``Crime in Spain grew by 3%'', http://internacional.elpais.com/internacional/2008/09/29/actualidad/1222639208_850215.html[writes El Pais]. Brussels is prey to increased crime from illegal aliens and drug addicts, http://www.rtl.be/info/votreregion/bruxelles/835282/criminalite-en-hausse-a-bruxelles-la-faute-aux-illegaux-et-aux-drogues-[says RTL]. This type of reporting based on police-collected statistics is common, but it doesn't tell us much about violence. We can trust that within the European Union, the data isn't tampered with. But police personnel respond to incentives. When performance is linked to clearance rate, for instance, policemen have an incentive to reports as much as possible on incidents that don't require an investigation. One such crime is smoking pot. This explains why drug-related crimes in France increased fourfold in the last 15 years while consumption remained constant. 29 | 30 | What you can do:: 31 | When in doubt about a number's credibility, always double check, just as you'd have if it had been a quote from a politician. In the Uzbek case, a phone call to someone who's lived there for a while suffices (`Does it feel like the country is 3 times as rich as it was in 1995, as official figures show?'). For police data, sociologists often carry out 'victimization' studies, in which they ask people if they are subject to crime. These studies are much less volatile than police data. Maybe that's the reason why they don't make headlines. Other tests let you assess precisely the credibility of the data, such as Benford's law, but none will replace your own critical thinking. 32 | 33 | ==== Question Two: What's in there to learn? 34 | 35 | Risk of Multiple Sclerosis doubles when working at night:: 36 | Surely any German in her right mind would stop working night shifts after http://www.dmsg.de/multiple-sklerose-news/index.php?w3pid=news&kategorie=forschung&anr=2476[reading this headline]. But the article doesn't tell us what the risk really is in the end. 37 | 38 | Take 1,000 Germans. A single one will develop MS over his lifetime. Now, if every one of these 1,000 Germans worked night shifts, the number of MS sufferers would jump to 2. The additional risk of developing MS when working in shifts is 1 in 1,000, not 100%. Surely this information is more useful when pondering whether to take the job. 39 | 40 | On average, 1 in every 15 Europeans totally illiterate:: 41 | The above headline looks frightening. It is also absolutely true. Among the 500 million Europeans, 36 million probably don't know how to read. As an aside, 36 million are also under 7 (data from http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database[Eurostat]). 42 | 43 | When writing about an average, always think ``an average of what?'' Is the reference population homogeneous? Uneven distribution patterns explain why most people drive better than average, for instance. Many people have zero or just one accident over their lifetime. A few reckless drivers have a great many, pushing the average number of accidents way higher than what most people experience. The same is true of the income distribution: most people earn less than average. 44 | 45 | What you can do: 46 | Always take the distribution and base rate into account. Checking for the mean and median, as well as mode (the most frequent value in the distribution) helps you gain insights in the data. Knowing the order of magnitude makes contextualization easier, as in the MS example. Finally, reporting in natural frequencies (1 in 100) is way easier for readers to understand that using percentage (1%). 47 | 48 | ==== Question Three: How reliable is the information? 49 | 50 | The sample size problem:: 51 | ``80% dissatisfied with the judicial system'', says a survey http://www.diariodenavarra.es/noticias/mas_actualidad/sociedad/una_encuesta_revela_que_casi_los_espanoles_esta_insatisfecho_con_justicia_50090_1035.html[reported in Zaragoza-based Diaro de Navarra]. How can one extrapolate from 800 respondents to 46 million Spaniards? Surely this is full of hot air. 52 | 53 | When researching a large population (over a few thousands), you rarely need more than a thousand respondents to achieve a margin of error under 3%. It means that if you were to retake the survey with a totally different sample, 9 times out of 10, the answers you'll get will be within a 3% interval of the results you had the first time around. Statistics are a powerful thing, and sample sizes are rarely to blame in dodgy surveys. 54 | 55 | Drinking tea lowers the risk of stroke:: 56 | Articles about the benefits of tea-drinking are commonplace. This short http://www.welt.de/print-welt/article249051/Tee_schuetzt_vor_Herzinfarkt.html[item in Die Welt] saying that tea lowers the risk of myocardial infarction is no exception. Although the effects of tea are seriously studied by some, many pieces of research fail to take into account lifestyle factors, such as diet, occupation or sports. 57 | 58 | In most countries, tea is a beverage for the health-conscious upper classes. If researchers don't control for lifestyle factors in tea studies, they tell us nothing more than `rich people are healthier -- and they probably drink tea'. 59 | 60 | What you can do:: 61 | The math behind correlations and error margins in the tea studies are certainly correct, at least most of the time. But if researchers don't look for co-correlations (e.g. drinking tea correlates with doing sports), their results are of little value. 62 | 63 | As a journalist, it makes little sense to challenge the numerical results of a study, such as the sample size, unless there are serious doubts about it. However, it is easy to see if researchers failed to take into account relevant pieces of information. 64 | 65 | — _Nicolas Kayser-Bril, Journalism++_ -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | The Data Journalism Handbook 2 | ============================ 3 | 4 | This repository contains the source files for the Data Journalism Handbook. The handbook was 5 | started at Mozilla Festival 2011 as a collaboration between over 70 experts, coordinated by 6 | the European Journalism Center and the Open Knowledge Foundation. 7 | 8 | How to build the DDJBook 9 | ------------------------ 10 | 11 | * Install Python libraries "lxml" and "jinja2", possibly into a virtualenv 12 | * Install [Jekyll](https://github.com/mojombo/jekyll/) 13 | * Checkout the repo on "master" 14 | * Convert the book to docbook, e.g. asciidoc --backend docbook book.asc 15 | * Run "python jekyllify.py" to convert the outcoming book HTML into a 16 | Jekyll site 17 | * Go into the "web" directory 18 | * Run "jekyll" (or "jekyll --auto --server" during development) 19 | 20 | This will generate the new site, based on the templates in 21 | web/_layouts/default.html -------------------------------------------------------------------------------- /WarStories.asc: -------------------------------------------------------------------------------- 1 |
13 |
27 |
28 |
29 |
14 | Home
15 | {% if parent_name %}
16 | Chapter: {{parent_title}}
17 | {% endif %}
18 | {% if next_name %}
19 | Next: {{next_title.rsplit('(',1)[0]}}
20 | {% endif %}
21 |
22 |
23 |
24 |
25 |
26 |
30 | {{body}}
31 |
32 |
33 | {% if children %}
34 | What's in this chapter?
35 |-
36 | {% for c in children %}
37 |
- {{c.short_title}} 38 | {% endfor %} 39 |
43 | Home
44 | {% if parent_name %}
45 | Chapter: {{parent_title}}
46 | {% endif %}
47 | {% if next_name %}
48 | Next: {{next_title.rsplit('(',1)[0]}}
49 | {% endif %}
50 |
51 | """
52 |
53 | INDEX = """---
54 | layout: default
55 | title: Welcome
56 | short_title: Welcome
57 | ---
58 |
59 |
60 |
76 |
77 | """
78 |
79 |
80 | def clean_html(elem):
81 | for img in elem.findall('.//img'):
82 | if img.get('src').startswith('data:'):
83 | img.attrib['src'] = img.get('alt')
84 | del img.attrib['alt']
85 | print img.get('alt')
86 | if 'width' in img.attrib:
87 | del img.attrib['width']
88 | for a in elem.findall('.//a'):
89 | if a.get('href', '').startswith('#'):
90 | id_ = a.get('href').strip('#')
91 | #print id_
92 | caption = elem.find('.//div[@id="' + id_ + '"]/div[@class="title"]')
93 | #print caption
94 | if caption is not None:
95 | a.text = caption.text.split('.')[0]
96 | else:
97 | print a.attrib
98 | return html.tostring(elem)
99 |
100 |
101 | def write_segment(data, out_dir):
102 | content = Template(SEGMENT).render(data)
103 | write_file(content, out_dir, data.get('name'))
104 |
105 |
106 | def write_index(segments, out_dir):
107 | content = Template(INDEX).render(segments=segments)
108 | write_file(content, out_dir, 'index')
109 |
110 |
111 | def write_file(content, out_dir, name):
112 | print name
113 | file_name = os.path.join(out_dir, name + '.html')
114 | fh = file(file_name, 'wb')
115 | fh.write(content.encode('utf-8'))
116 | fh.close()
117 |
118 |
119 | def split_up(in_file, out_dir):
120 | segments = []
121 | doc = html.parse(in_file)
122 | for sect1 in doc.findall('//div[@class="sect1"]'):
123 | sect1_title = sect1.find('h2')
124 | print [sect1_title.text]
125 | name = sect1_title.get('id').strip('_')
126 | sect1_title_text = sect1_title.text
127 | for i, sect2 in enumerate(sect1.findall('.//div[@class="sect2"]')):
128 | sect2_title = sect2.find('h3')
129 | print [sect2_title.text]
130 | segments.append({
131 | 'name': name + '_' + str(i),
132 | 'title': sect2_title.text,
133 | 'body': clean_html(sect2),
134 | 'el': sect2,
135 | 'parent_name': name,
136 | 'parent_title': sect1_title_text
137 | })
138 | sect2.getparent().remove(sect2)
139 | segments.append({
140 | 'name': name,
141 | 'title': sect1_title_text,
142 | 'body': clean_html(sect1),
143 | 'el': sect1,
144 | 'parent_name': None,
145 | 'parent_title': None
146 | })
147 |
148 | for segment in segments:
149 | segment['short_title'] = segment['title'] #.rsplit('(')[0]
150 | segment['children'] = filter(lambda s: s['parent_name'] == segment['name'], segments)
151 |
152 | sorted_segments = []
153 | for segment in segments:
154 | if segment['parent_name']:
155 | continue
156 | sorted_segments.append(segment)
157 | for s in segment.get('children', []):
158 | s['parent'] = segment
159 | sorted_segments.append(s)
160 |
161 | for i, segment in enumerate(sorted_segments):
162 | if i < len(sorted_segments) - 1:
163 | if len(segment['children']):
164 | for s in sorted_segments[i + 1:]:
165 | if len(s['children']):
166 | segment['next_title'] = s['title']
167 | segment['next_name'] = s['name']
168 | break
169 | else:
170 | segment['next_title'] = sorted_segments[i + 1]['title']
171 | segment['next_name'] = sorted_segments[i + 1]['name']
172 | #pprint(segment)
173 | write_segment(segment, out_dir)
174 | write_index(sorted_segments, out_dir)
175 |
176 | if __name__ == '__main__':
177 | split_up('book.html', 'web')
178 |
--------------------------------------------------------------------------------
/pending.asc:
--------------------------------------------------------------------------------
1 | ##############################################################
2 | ##############################################################
3 | ##############################################################
4 | FROM SECTION 1
5 | ##############################################################
6 | ##############################################################
7 | ##############################################################
8 |
9 |
10 | ##############################################################
11 | ##############################################################
12 | ##############################################################
13 | FROM SECTION 2
14 | ##############################################################
15 | ##############################################################
16 | ##############################################################
17 |
18 |
19 | ##############################################################
20 | ##############################################################
21 | ##############################################################
22 | FROM SECTION 3
23 | ##############################################################
24 | ##############################################################
25 | ##############################################################
26 |
27 | === Subsidies for the Bus Transportation System (La Nacion) ===
28 |
29 | Summary:
30 |
31 | Using public DATA for Investigative reporting and joining journalists with programmers resulted in the production of series of articles, both in print and online LA NACION front pages, about Argentina Subsidies for Transportation (Bus) System. We´ve already worked for 13 months in this on going project.
32 |
33 | Subsidies in gasoil and cash, grew exponentially the last ten years and the only way to show this, as well as learning about the evolution of the top 20 companies that receive the most benefits from this, was by building a database which contains 6 years of 4 monthly PDFs, converting them to CSV and Excel (13 Mb) with a DB Model and detecting the evolution of total subsidies, and the detail of more than 1300 companies that receive cash or gasoil since 2006. This data-set of more than 285.000 records (nov 2011) is composed of different kind of cash subsidies (SISTAU, RCC, CCP) and subsidies in diesel fuel (GASOIL), detailed by company and by month. We calculated the amount of cash that those m3 of Gasoil meant for each company as a difference between market price and the discount certifieds they receive.
34 |
35 | In october 2011, after national elections passed, our goverment announced a reduction in different subsidies (including transportation), so we are using our dataset again to give a dimension of the total of subsidies and it´s evolution, focusing in the last 2 years with a monthly detail.
36 |
37 | Since February 2012, national government is trying to transfer the Metro and Bus system to the city of Buenos Aires government without being clear of the amount of subsidies being transferred as well.
38 |
39 | So we are using our dataset for front page stories again and again like this one:
40 | http://www.lanacion.com.ar/1455129-traspasan-a-macri-colectivos-que-cuestan-$-1000-millones
41 |
42 | In March 2012, we implemented an open data platform http://data.lanacion.com.ar (integrated in Junar) to start opening data in Argentina, a country with no FOIA and with no government's portal like data.gov. This platform includes sharing, embedding and multiple formats downloading tools for our readers to reuse the content.
43 |
44 | We used the platform to publish a dataset extracting the 33 lines of buses that are being transferred to the city of Buenos Aires, with their amount of vehicles, subsidies in cash and calculate average per vehicle and a list of these bus companies ordered by amount.
45 |
46 | Data set:
47 | http://data.lanacion.com.ar/datastreams/68654/colectivos-un-sector-que-vive-de-subsidios/
48 |
49 | The story with the embedded Table:
50 | http://www.lanacion.com.ar/1455113-un-sector-que-vive-de-los-subsidios (tiene junar embebido)
51 |
52 | Besides, we´re opening this data with a visualization in Tableau Public, downloadable and embeddable http://public.tableausoftware.com/views/Subsidios_colectivos/Armado_final?toolbar=yes&:embed=yes&:toolbar=yes&tabs=no&:tabs=no
53 |
54 | Finally we are creating an interactive data application presented as Argentina's Bus Transportation Subsidies Explorer. Here are some screenshots as it is currently in beta (March 2012). Click for viewing in full screen option inside player.
55 |
56 | Powered by Tableau
57 | The team:
58 |
59 | Diego Cabot, lawyer and journalist -Editor of our Financial Section, specialized in public spending, subsidies and Transportation-.
60 |
61 | Ricardo Brom, electronic engineer - IT Manager at LA NACION, developed our scrappers , normalizers and built the data sets-.
62 |
63 | Mariana Trigo Viera, graphics designer, specialized in interactive design in lanacion.com.
64 |
65 | Angelica Peralta Ramos, computer scientist, -Multimedia Development Manager and Data Project leader-, helped with the data models, and manually crossed data sets to calculate average subsidies per unit (bus) per month.
66 |
67 | We have support from other members of online and infographics team depending on the story and platform we´re publishing on.
68 |
69 | In a country with no FOIA, programming skills for web scrapping, data modeling and data analysis are as important as problem solving skills.
70 |
71 | The Sources and Tools
72 |
73 | Video 1: An introduction to the subsidies case and web sources.
74 |
75 | Video 2: Processing Excel files, before transfering to the database.
76 |
77 | Secretaría de Transporte: The official site of Transportation Agency.
78 |
79 | http://www.transporte.gov.ar/
80 |
81 | CNRT: Comisión Nacional de Regulación del Transporte
82 |
83 | http://www.cnrt.gov.ar/
84 | Building the DATABASE:
85 |
86 | We spent two weeks in the design and development of the first database, then we updated it monthly:
87 |
88 | The steps were:
89 |
90 | 1) Designing a data model based in the needs of reporting on bus subsidies possible stories, and for creating data visualizations with tools that need little programming skills (We think this data sets as “tables” so we can use different tools like Google Fusion Tables or Tableau Public, and also make our own visualizations).
91 | 2) Converting PDFs to CSV
92 | 3) Analizing the results with excel
93 | 4) Filtering, sorting and cleaning data.
94 | 5) Developing a companies and counties normalizer
95 | 6) Building a unified dataset with nornalized names
96 | 7) Updating this database
97 | 8) Discovering stories in this database and extracting data to build the visualizaitons.
98 |
99 | Regarding skills for DataJournalists:
100 |
101 | Database mindset: for journalists to deal with structured data, the basic is to learn Excel or some spreadsheet to organize and analyze information in a structured way.The focus must be in the data quality and in the data model.
102 |
103 | If you build a good data model thinking not only in present but in future uses and in updating data, you should include horizontal uses as for eg: other subsidies not only bus ones or be prepared for international comparisons in your data model. Besides, if you detect frequent difficulties as normalization of names and data cleaning, you can develop routines that will clean this data as part of your monthly process.
104 |
105 | More DATA Challenges:
106 |
107 | 1. After months of being published, PDFs are being modified backwards in two situations: a) keeping the same name and b) including a (number) at the end of the name.
108 |
109 | 2. Normalization and data cleaning problems
110 |
111 | 3. Some PDFs are lacking the totals, which makes it impossible to cross check our data in plans manually
112 |
113 | PDF With Totals: http://www.transporte.gov.ar/UserFiles/pdfs/subsidios/sistau/2011/rcc_sistau_mayo11.pdf
114 |
115 | PDF Without totals:
116 | http://www.transporte.gov.ar/UserFiles/pdfs/subsidios/sistau/2011/rcc_sistau_abril11(1).pdf
117 |
118 | MAIN STORIES:
119 |
120 | Here are the main stories that emerged from analizing this data set, that we are keeping updated every month:
121 |
122 | Articles:
123 |
124 | JUNE 2011
125 |
126 | Colectivos insaciables: un cheque diario de 10 millones en subsidios.
127 | http://www.lanacion.com.ar/1380725-colectivos-insaciables-un-cheque-diario-de-10-millones-en-subsidios
128 |
129 | Interactive Graphic:
130 | http://especiales.lanacion.com.ar/multimedia/item.asp?m=263
131 |
132 | AUGUST 2011
133 |
134 | Sin el subsidio, el boleto de colectivo costaría $ 3,75 (Without subsidies, bus ticket price would be $ 3,75 (pesos)
135 | http://www.lanacion.com.ar/1396512-sin-el-subsidio-el-boleto-de-colectivo-costaria-375
136 |
137 | NOVEMBER 2011:
138 |
139 | Empresarios dicen que, sin subsidio, el boleto de colectivo debería costar 4 pesos
140 | http://www.lanacion.com.ar/1421150-colectivos
141 |
142 | Article and Interactive Graphic in Tableau Public offering open DATA accesible from the Tableau graph-
143 | http://www.lanacion.com.ar/1421595-nego-schiavi-que-vaya-a-subir-el-boleto
144 |
145 | El precio del boleto de colectivo en el mundo
146 | http://www.lanacion.com.ar/1421186-el-precio-del-boleto-de-colectivo-en-el-mundo
147 |
148 | El colectivo a $4 provocó una furiosa reacción de Schiavi: “Es terrorismo mediático”
149 | http://www.lanacion.com.ar/1421410-colectivos
150 |
151 | Retiraran los subsidios a las empresas de colectivos que no tengan SUBE.
152 | http://www.lanacion.com.ar/1423099-retiraran-los-subsidios-a-las-empresas-de-colectivos-que-no-tengan-sube
153 |
154 |
155 | ##############################################################
156 | ##############################################################
157 | ##############################################################
158 | FROM SECTION 4
159 | ##############################################################
160 | ##############################################################
161 | ##############################################################
162 |
163 | === Reusing, Republishing, Rights (Mike Linksvayer, Creative Commons) ===
164 |
165 | image::figs/incoming/04-GG.jpg[width=600]
166 |
167 | In many jurisdictions around the world datasets and databases can be are covered by rights which mean that you have to ask for permission before you can legally reuse them. In this section we look at how you can get - and give - a green light to reuse datasets.
168 |
169 | Most of the new Open Data portals being set up by governments now make clear that the data that is released can be used free of charge. The same goes for information obtained through Freedom of Information Requests. If you have scraped the data from the website of a public body, on reuse. Sometimes there will be intellectual property limitations, but normally the only requirement is that you cite the source of the information.
170 |
171 | When talking about databases and intellectual property we need to distinguish between the structure and the content of a database (when we use the term 'data' we shall mean the content of the database itself). Structural elements include things like the field names and a model for the data -- the organization of these fields and their inter-relation.
172 |
173 | In many jurisdictions it is likely that the structural elements of a database will be covered by copyright (it depends somewhat on the level of 'creativity' involved in creating this structure).
174 |
175 | The distinction between the "contents" of a database and the collection is especially crucial for factual databases since no jurisdiction grants a monopoly right in the individual facts (the "contents") even though it may grant right(s) in them as a collection.
176 |
177 | To illustrate, consider the simple example of a database which lists the melting point of various substances. While the database as a whole might be protected by law so that one is not allow to access, reuse or redistribute it without permission this would never prevent you from stating the fact that substance Y melts at temperature Z.
178 |
179 | You can read more about the situation your jurisdiction in the http://opendefinition.org/guide/data/[Guide to Open Data Licensing].
180 |
181 | If you find you are having problems with your right to reuse information, then please let the campaign group Access Info Europe know (helpdesk@access-info.org). Access Info will help you with legal advice and will try to find lawyers in your country should that be necessary.
182 | Success? What now...? Share the data...
183 |
184 | When you publish your project, do the rest of us a favor and include the data you've collected! It would be a damned shame if all that beautiful data you dug up (cleaned up, formatted and augmented) went stale on your hard drive. Let others source-check your story and perhaps even find different stories in the data.
185 |
186 | When you do publish data, include an explicit IP statement, in particular an open license like the Creative Commons Zero or Attribution terms or the Open Database License (ODbL). If the data is government information not covered by copyright, publish it using Creative Commons' PD Mark dedication to make it clear that the data will be available in the public domain forever and for others to reuse!
187 |
188 |
189 | ##############################################################
190 | ##############################################################
191 | ##############################################################
192 | FROM SECTION 5
193 | ##############################################################
194 | ##############################################################
195 | ##############################################################
196 |
197 |
198 |
199 | ##############################################################
200 | ##############################################################
201 | ##############################################################
202 | FROM SECTION 6
203 | ##############################################################
204 | ##############################################################
205 | ##############################################################
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/preface.asc:
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1 | :chapnum: 00
2 | :figure-number: 00
3 |
4 | == Front Matter
5 |
6 | === For the Great Unnamed
7 |
8 | The Data Journalism Handbook was born at a 48 hour workshop led by the European Journalism Centre and the Open Knowledge Foundation at MozFest 2011 in London. It subsequently spilled over into an international, collaborative effort involving dozens of data journalism’s leading advocates and best practitioners.
9 |
10 | [[FIG0002]]
11 | .How it all began
12 | image::figs/incoming/00-01.jpg[scale="90",float="none"]
13 |
14 | In the six months that passed between the book’s inception to its first full release, hundreds of people have contributed in various ways. While we have done our best to keep track of them all, we have had our fair share of anonymous, pseudonymous, and untraceable edits.
15 |
16 | To all of those people who have contributed and are not listed below, we say two things. Firstly, thank you. Secondly, can you please tell us who you are so that we can give credit where credit is due?
17 |
18 | === Contributors
19 |
20 | The following people have drafted or otherwise directly contributed to text in the current version of the book (and illustrations are by graphic designer Kate Hudson):
21 |
22 | * Gregor Aisch, Open Knowledge Foundation
23 | * Brigitte Alfter, Journalismfund.eu
24 | * David Anderton, Freelance Journalist
25 | * James Ball, the Guardian
26 | * Caelainn Barr, Citywire
27 | * Mariana Berruezo, Hacks/Hackers Buenos Aires
28 | * Michael Blastland, Freelance Journalist
29 | * Mariano Blejman, Hacks/Hackers Buenos Aires
30 | * John Bones, Verdens Gang
31 | * Marianne Bouchart, Bloomberg News
32 | * Liliana Bounegru, European Journalism Centre
33 | * Brian Boyer, Chicago Tribune
34 | * Paul Bradshaw, Birmingham City University
35 | * Wendy Carlisle, Australian Broadcasting Corporation
36 | * Lucy Chambers, Open Knowledge Foundation
37 | * Sarah Cohen, Duke University
38 | * Alastair Dant, the Guardian
39 | * Helen Darbishire, Access Info Europe
40 | * Chase Davis, Center for Investigative Reporting
41 | * Steve Doig, Walter Cronkite School of Journalism, Arizona State University
42 | * Lisa Evans, the Guardian
43 | * Tom Fries, Bertelsmann Stiftung
44 | * Duncan Geere, Wired UK
45 | * Jack Gillum, Associated Press
46 | * Jonathan Gray, Open Knowledge Foundation
47 | * Alex Howard, O’Reilly Media
48 | * Bella Hurrell, BBC
49 | * Nicolas Kayser-Bril, Journalism++
50 | * John Keefe, WNYC
51 | * Scott Klein, ProPublica
52 | * Alexandre Léchenet, Le Monde
53 | * Mark Lee Hunter, INSEAD
54 | * Andrew Leimdorfer, BBC
55 | * Friedrich Lindenberg, Open Knowledge Foundation
56 | * Mike Linksvayer, Creative Commons
57 | * Mirko Lorenz, Deutsche Welle
58 | * Esa Mäkinen, Helsingin Sanomat
59 | * Pedro Markun, Transparência Hacker
60 | * Isao Matsunami, Tokyo Shimbun
61 | * Lorenz Matzat, OpenDataCity
62 | * Geoff McGhee, Stanford University
63 | * Philip Meyer, Professor Emeritus, University of North Carolina at Chapel Hill
64 | * Claire Miller, WalesOnline
65 | * Cynthia O’Murchu, Financial Times
66 | * Oluseun Onigbinde, BudgIT
67 | * Djordje Padejski, Knight Journalism Fellow, Stanford University
68 | * Jane Park, Creative Commons
69 | * Angélica Peralta Ramos, La Nacion (Argentina)
70 | * Cheryl Phillips, The Seattle Times
71 | * Aron Pilhofer, New York Times
72 | * Lulu Pinney, Freelance Infographic Designer
73 | * Paul Radu, Organised Crime and Corruption Reporting Project
74 | * Simon Rogers, the Guardian
75 | * Martin Rosenbaum, BBC
76 | * Amanda Rossi, Friends of Januária
77 | * Martin Sarsale, Hacks/Hackers Buenos Aires
78 | * Fabrizio Scrollini, London School of Economics and Political Science
79 | * Sarah Slobin, Wall Street Journal
80 | * Sergio Sorin, Hacks/Hackers Buenos Aires
81 | * Jonathan Stray, The Overview Project
82 | * Brian Suda, (optional.is)
83 | * Chris Taggart, OpenCorporates
84 | * Jer Thorp, The New York Times R&D Group
85 | * Andy Tow, Hacks/Hackers Buenos Aires
86 | * Luk N. Van Wassenhove, INSEAD
87 | * Sascha Venohr, Zeit Online
88 | * Jerry Vermanen, NU.nl
89 | * César Viana, University of Goiás
90 | * Farida Vis, University of Leicester
91 | * Pete Warden, Independent Data Analyst and Developer
92 | * Chrys Wu, Hacks/Hackers
93 |
94 |
95 | === What This Book Is (And What It Isn’t)
96 |
97 | This book is intended to be a useful resource for anyone who thinks that they might be interested in becoming a data journalist--or just dabbling in data journalism.
98 |
99 | Lots of people have contributed to writing it, and through our editing we have tried to let their different voices and views shine through. We hope that it reads like a rich and informative conversation about what data journalism is, why it is important, and how to do it.
100 |
101 | Lamentably, the act of reading this book will not supply you with a comprehensive repertoire of all the knowledge and skills you need to become a data journalist. This would require a vast library manned by hundreds of experts able to answer questions on hundreds of topics. Luckily this library exists; it is called the Internet. Instead, we hope this book will give you a sense of how to get started and where to look if you want to go further. Examples and tutorials serve to be illustrative rather than exhaustive.
102 |
103 | We count ourselves very lucky to have had so much time, energy, and patience from all of our contributors and have tried our best to use this wisely. We hope that--in addition to being a useful reference source--the book does something to document the passion and enthusiasm, the vision and energy of a nascent movement. The book attempts to give you a sense of what happens behind the scenes, the stories behind the stories.
104 |
105 | _The Data Journalism Handbook_ is a work in progress. If you think there is anything which needs to be amended or is conspicuously absent, then please flag it for inclusion in the next version. It is also freely available under a http://creativecommons.org/licenses/by-sa/3.0/[Creative Commons Attribution-ShareAlike] license, and we strongly encourage you to share it with anyone that you think might be interested in reading it.
106 |
107 | — __Jonathan Gray, Open Knowledge Foundation (@jwyg), Liliana Bounegru, European Journalism Centre (@bb_liliana), and Lucy Chambers, Open Knowledge Foundation (@lucyfedia), March 2012__
108 |
109 |
110 | === The Handbook At A Glance ===
111 |
112 | Infographic impresario Lulu Pinney created this superb poster, which gives an overview of the contents of the Data Journalism Handbook.
113 |
114 | [[FIG2]]
115 | .The handbook at a glance
116 | image::figs/incoming/00-poster.png[width=600]
117 |
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62 | {% if not chapter.parent_name %}
63 |
72 | {{chapter.title}}
64 |-
65 | {% for segment in chapter.children %}
66 |
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73 | 
74 |
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74 |
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71 |
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1 | /*!
2 | * Bootstrap Responsive v2.0.2
3 | *
4 | * Copyright 2012 Twitter, Inc
5 | * Licensed under the Apache License v2.0
6 | * http://www.apache.org/licenses/LICENSE-2.0
7 | *
8 | * Designed and built with all the love in the world @twitter by @mdo and @fat.
9 | */
10 | .clearfix {
11 | *zoom: 1;
12 | }
13 | .clearfix:before,
14 | .clearfix:after {
15 | display: table;
16 | content: "";
17 | }
18 | .clearfix:after {
19 | clear: both;
20 | }
21 | .hide-text {
22 | overflow: hidden;
23 | text-indent: 100%;
24 | white-space: nowrap;
25 | }
26 | .input-block-level {
27 | display: block;
28 | width: 100%;
29 | min-height: 28px;
30 | /* Make inputs at least the height of their button counterpart */
31 |
32 | /* Makes inputs behave like true block-level elements */
33 |
34 | -webkit-box-sizing: border-box;
35 | -moz-box-sizing: border-box;
36 | -ms-box-sizing: border-box;
37 | box-sizing: border-box;
38 | }
39 | .hidden {
40 | display: none;
41 | visibility: hidden;
42 | }
43 | .visible-phone {
44 | display: none;
45 | }
46 | .visible-tablet {
47 | display: none;
48 | }
49 | .visible-desktop {
50 | display: block;
51 | }
52 | .hidden-phone {
53 | display: block;
54 | }
55 | .hidden-tablet {
56 | display: block;
57 | }
58 | .hidden-desktop {
59 | display: none;
60 | }
61 | @media (max-width: 767px) {
62 | .visible-phone {
63 | display: block;
64 | }
65 | .hidden-phone {
66 | display: none;
67 | }
68 | .hidden-desktop {
69 | display: block;
70 | }
71 | .visible-desktop {
72 | display: none;
73 | }
74 | }
75 | @media (min-width: 768px) and (max-width: 979px) {
76 | .visible-tablet {
77 | display: block;
78 | }
79 | .hidden-tablet {
80 | display: none;
81 | }
82 | .hidden-desktop {
83 | display: block;
84 | }
85 | .visible-desktop {
86 | display: none;
87 | }
88 | }
89 | @media (max-width: 480px) {
90 | .nav-collapse {
91 | -webkit-transform: translate3d(0, 0, 0);
92 | }
93 | .page-header h1 small {
94 | display: block;
95 | line-height: 18px;
96 | }
97 | input[type="checkbox"],
98 | input[type="radio"] {
99 | border: 1px solid #ccc;
100 | }
101 | .form-horizontal .control-group > label {
102 | float: none;
103 | width: auto;
104 | padding-top: 0;
105 | text-align: left;
106 | }
107 | .form-horizontal .controls {
108 | margin-left: 0;
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110 | .form-horizontal .control-list {
111 | padding-top: 0;
112 | }
113 | .form-horizontal .form-actions {
114 | padding-left: 10px;
115 | padding-right: 10px;
116 | }
117 | .modal {
118 | position: absolute;
119 | top: 10px;
120 | left: 10px;
121 | right: 10px;
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123 | margin: 0;
124 | }
125 | .modal.fade.in {
126 | top: auto;
127 | }
128 | .modal-header .close {
129 | padding: 10px;
130 | margin: -10px;
131 | }
132 | .carousel-caption {
133 | position: static;
134 | }
135 | }
136 | @media (max-width: 767px) {
137 | body {
138 | padding-left: 20px;
139 | padding-right: 20px;
140 | }
141 | .navbar-fixed-top {
142 | margin-left: -20px;
143 | margin-right: -20px;
144 | }
145 | .container {
146 | width: auto;
147 | }
148 | .row-fluid {
149 | width: 100%;
150 | }
151 | .row {
152 | margin-left: 0;
153 | }
154 | .row > [class*="span"],
155 | .row-fluid > [class*="span"] {
156 | float: none;
157 | display: block;
158 | width: auto;
159 | margin: 0;
160 | }
161 | .thumbnails [class*="span"] {
162 | width: auto;
163 | }
164 | input[class*="span"],
165 | select[class*="span"],
166 | textarea[class*="span"],
167 | .uneditable-input {
168 | display: block;
169 | width: 100%;
170 | min-height: 28px;
171 | /* Make inputs at least the height of their button counterpart */
172 |
173 | /* Makes inputs behave like true block-level elements */
174 |
175 | -webkit-box-sizing: border-box;
176 | -moz-box-sizing: border-box;
177 | -ms-box-sizing: border-box;
178 | box-sizing: border-box;
179 | }
180 | .input-prepend input[class*="span"],
181 | .input-append input[class*="span"] {
182 | width: auto;
183 | }
184 | }
185 | @media (min-width: 768px) and (max-width: 979px) {
186 | .row {
187 | margin-left: -20px;
188 | *zoom: 1;
189 | }
190 | .row:before,
191 | .row:after {
192 | display: table;
193 | content: "";
194 | }
195 | .row:after {
196 | clear: both;
197 | }
198 | [class*="span"] {
199 | float: left;
200 | margin-left: 20px;
201 | }
202 | .container,
203 | .navbar-fixed-top .container,
204 | .navbar-fixed-bottom .container {
205 | width: 724px;
206 | }
207 | .span12 {
208 | width: 724px;
209 | }
210 | .span11 {
211 | width: 662px;
212 | }
213 | .span10 {
214 | width: 600px;
215 | }
216 | .span9 {
217 | width: 538px;
218 | }
219 | .span8 {
220 | width: 476px;
221 | }
222 | .span7 {
223 | width: 414px;
224 | }
225 | .span6 {
226 | width: 352px;
227 | }
228 | .span5 {
229 | width: 290px;
230 | }
231 | .span4 {
232 | width: 228px;
233 | }
234 | .span3 {
235 | width: 166px;
236 | }
237 | .span2 {
238 | width: 104px;
239 | }
240 | .span1 {
241 | width: 42px;
242 | }
243 | .offset12 {
244 | margin-left: 764px;
245 | }
246 | .offset11 {
247 | margin-left: 702px;
248 | }
249 | .offset10 {
250 | margin-left: 640px;
251 | }
252 | .offset9 {
253 | margin-left: 578px;
254 | }
255 | .offset8 {
256 | margin-left: 516px;
257 | }
258 | .offset7 {
259 | margin-left: 454px;
260 | }
261 | .offset6 {
262 | margin-left: 392px;
263 | }
264 | .offset5 {
265 | margin-left: 330px;
266 | }
267 | .offset4 {
268 | margin-left: 268px;
269 | }
270 | .offset3 {
271 | margin-left: 206px;
272 | }
273 | .offset2 {
274 | margin-left: 144px;
275 | }
276 | .offset1 {
277 | margin-left: 82px;
278 | }
279 | .row-fluid {
280 | width: 100%;
281 | *zoom: 1;
282 | }
283 | .row-fluid:before,
284 | .row-fluid:after {
285 | display: table;
286 | content: "";
287 | }
288 | .row-fluid:after {
289 | clear: both;
290 | }
291 | .row-fluid > [class*="span"] {
292 | float: left;
293 | margin-left: 2.762430939%;
294 | }
295 | .row-fluid > [class*="span"]:first-child {
296 | margin-left: 0;
297 | }
298 | .row-fluid > .span12 {
299 | width: 99.999999993%;
300 | }
301 | .row-fluid > .span11 {
302 | width: 91.436464082%;
303 | }
304 | .row-fluid > .span10 {
305 | width: 82.87292817100001%;
306 | }
307 | .row-fluid > .span9 {
308 | width: 74.30939226%;
309 | }
310 | .row-fluid > .span8 {
311 | width: 65.74585634900001%;
312 | }
313 | .row-fluid > .span7 {
314 | width: 57.182320438000005%;
315 | }
316 | .row-fluid > .span6 {
317 | width: 48.618784527%;
318 | }
319 | .row-fluid > .span5 {
320 | width: 40.055248616%;
321 | }
322 | .row-fluid > .span4 {
323 | width: 31.491712705%;
324 | }
325 | .row-fluid > .span3 {
326 | width: 22.928176794%;
327 | }
328 | .row-fluid > .span2 {
329 | width: 14.364640883%;
330 | }
331 | .row-fluid > .span1 {
332 | width: 5.801104972%;
333 | }
334 | input,
335 | textarea,
336 | .uneditable-input {
337 | margin-left: 0;
338 | }
339 | input.span12, textarea.span12, .uneditable-input.span12 {
340 | width: 714px;
341 | }
342 | input.span11, textarea.span11, .uneditable-input.span11 {
343 | width: 652px;
344 | }
345 | input.span10, textarea.span10, .uneditable-input.span10 {
346 | width: 590px;
347 | }
348 | input.span9, textarea.span9, .uneditable-input.span9 {
349 | width: 528px;
350 | }
351 | input.span8, textarea.span8, .uneditable-input.span8 {
352 | width: 466px;
353 | }
354 | input.span7, textarea.span7, .uneditable-input.span7 {
355 | width: 404px;
356 | }
357 | input.span6, textarea.span6, .uneditable-input.span6 {
358 | width: 342px;
359 | }
360 | input.span5, textarea.span5, .uneditable-input.span5 {
361 | width: 280px;
362 | }
363 | input.span4, textarea.span4, .uneditable-input.span4 {
364 | width: 218px;
365 | }
366 | input.span3, textarea.span3, .uneditable-input.span3 {
367 | width: 156px;
368 | }
369 | input.span2, textarea.span2, .uneditable-input.span2 {
370 | width: 94px;
371 | }
372 | input.span1, textarea.span1, .uneditable-input.span1 {
373 | width: 32px;
374 | }
375 | }
376 | @media (max-width: 979px) {
377 | body {
378 | padding-top: 0;
379 | }
380 | .navbar-fixed-top {
381 | position: static;
382 | margin-bottom: 18px;
383 | }
384 | .navbar-fixed-top .navbar-inner {
385 | padding: 5px;
386 | }
387 | .navbar .container {
388 | width: auto;
389 | padding: 0;
390 | }
391 | .navbar .brand {
392 | padding-left: 10px;
393 | padding-right: 10px;
394 | margin: 0 0 0 -5px;
395 | }
396 | .navbar .nav-collapse {
397 | clear: left;
398 | }
399 | .navbar .nav {
400 | float: none;
401 | margin: 0 0 9px;
402 | }
403 | .navbar .nav > li {
404 | float: none;
405 | }
406 | .navbar .nav > li > a {
407 | margin-bottom: 2px;
408 | }
409 | .navbar .nav > .divider-vertical {
410 | display: none;
411 | }
412 | .navbar .nav .nav-header {
413 | color: #999999;
414 | text-shadow: none;
415 | }
416 | .navbar .nav > li > a,
417 | .navbar .dropdown-menu a {
418 | padding: 6px 15px;
419 | font-weight: bold;
420 | color: #999999;
421 | -webkit-border-radius: 3px;
422 | -moz-border-radius: 3px;
423 | border-radius: 3px;
424 | }
425 | .navbar .dropdown-menu li + li a {
426 | margin-bottom: 2px;
427 | }
428 | .navbar .nav > li > a:hover,
429 | .navbar .dropdown-menu a:hover {
430 | background-color: #222222;
431 | }
432 | .navbar .dropdown-menu {
433 | position: static;
434 | top: auto;
435 | left: auto;
436 | float: none;
437 | display: block;
438 | max-width: none;
439 | margin: 0 15px;
440 | padding: 0;
441 | background-color: transparent;
442 | border: none;
443 | -webkit-border-radius: 0;
444 | -moz-border-radius: 0;
445 | border-radius: 0;
446 | -webkit-box-shadow: none;
447 | -moz-box-shadow: none;
448 | box-shadow: none;
449 | }
450 | .navbar .dropdown-menu:before,
451 | .navbar .dropdown-menu:after {
452 | display: none;
453 | }
454 | .navbar .dropdown-menu .divider {
455 | display: none;
456 | }
457 | .navbar-form,
458 | .navbar-search {
459 | float: none;
460 | padding: 9px 15px;
461 | margin: 9px 0;
462 | border-top: 1px solid #222222;
463 | border-bottom: 1px solid #222222;
464 | -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
465 | -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
466 | box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
467 | }
468 | .navbar .nav.pull-right {
469 | float: none;
470 | margin-left: 0;
471 | }
472 | .navbar-static .navbar-inner {
473 | padding-left: 10px;
474 | padding-right: 10px;
475 | }
476 | .btn-navbar {
477 | display: block;
478 | }
479 | .nav-collapse {
480 | overflow: hidden;
481 | height: 0;
482 | }
483 | }
484 | @media (min-width: 980px) {
485 | .nav-collapse.collapse {
486 | height: auto !important;
487 | overflow: visible !important;
488 | }
489 | }
490 |
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1 |
2 | /* OKFN Brand font, not related to WDMMG. */
3 |
4 | @font-face {
5 | font-family: 'OpenSansLight';
6 | src: url('../img/opensans-light-webfont.eot');
7 | src: url('../img/opensans-light-webfont.eot?#iefix') format('embedded-opentype'), url('../img/opensans-light-webfont.woff') format('woff'), url('../img/opensans-light-webfont.ttf') format('truetype'), url('opensans-light-webfont.svg#OpenSansLight') format('svg');
8 | font-weight: normal;
9 | font-style: normal;
10 | }
11 |
12 | @font-face {
13 | font-family: "OpenSansSemibold";
14 | font-style: normal;
15 | font-weight: 600;
16 | src: url("../img/opensans-semibold-webfont.eot?#iefix") format("embedded-opentype"), url("../img/opensans-semibold-webfont.woff") format("woff"), url("../img/opensans-semibold-webfont.ttf") format("truetype"), url("../img/opensans-semibold-webfont.svg#OpenSansLight") format("svg");
17 | }
18 |
19 | @font-face {
20 | font-family: "AllerBold";
21 | font-style: normal;
22 | font-weight: 600;
23 | src: url("../img/aller-bold.ttf") format("truetype");
24 | }
25 |
26 | html, body {
27 | height: 100%;
28 | width: 100%;
29 | margin: 0;
30 | padding: 0;
31 | background: #a4a4a4 url(../img/footer.png) repeat;
32 | }
33 |
34 | .wrapper {
35 | background: #eee url(../img/bg-noise.png) repeat;
36 | padding-bottom: 3em;
37 |
38 | -webkit-box-shadow: 0px 0px 10px 0px #000;
39 | -moz-box-shadow: 0px 0px 10px 0px #000;
40 | box-shadow: 0px 0px 10px 0px #000;
41 | }
42 |
43 | #main.container {
44 | margin-top: 1em;
45 | background-color: #fff;
46 | padding: 1em;
47 |
48 | -webkit-border-radius: 3px;
49 | -moz-border-radius: 3px;
50 | border-radius: 3px;
51 | -moz-background-clip: padding; -webkit-background-clip: padding-box; background-clip: padding-box;
52 |
53 |
54 | -webkit-box-shadow: 0px 0px 6px 0px #aaa;
55 | -moz-box-shadow: 0px 0px 6px 0px #aaa;
56 | box-shadow: 0px 0px 6px 0px #aaa;
57 | }
58 |
59 | .imageblock {
60 | display: inline-block;
61 | padding: 1em;
62 | padding-left: 2em;
63 | }
64 |
65 | .sect1 .imageblock {
66 | display: inline-block;
67 | float: right !important;
68 | padding: 0;
69 | margin-top: -2em;
70 | padding-left: 1em;
71 | }
72 |
73 |
74 | .imageblock img,
75 | .imageblock .title {
76 | max-width: 550px !important;
77 | }
78 |
79 | @media (max-width: 480px) {
80 | .imageblock img,
81 | .imageblock .title {
82 | max-width: 400px !important;
83 | }
84 | }
85 |
86 | @media (max-width: 768px) {
87 | .imageblock img,
88 | .imageblock .title {
89 | max-width: 400px !important;
90 | }
91 | }
92 |
93 | .imageblock .title {
94 | font-family: 'OpenSansLight', Helvetica, sans-serif;
95 | padding-top: 0.8em;
96 | font-size: 0.8em;
97 | line-height: 1.4em;
98 | }
99 |
100 | .sect2 .imageblock img {
101 | -webkit-box-shadow: 0px 0px 6px 0px #aaa;
102 | -moz-box-shadow: 0px 0px 6px 0px #aaa;
103 | box-shadow: 0px 0px 6px 0px #aaa;
104 | }
105 |
106 | .sect2 {
107 | max-width: 40em;
108 | margin-left: auto;
109 | margin-right: auto;
110 | }
111 |
112 | .paragraph, .ulist {
113 | max-width: 40em;
114 | }
115 |
116 | .tableblock {
117 | margin-bottom: 1em;
118 | }
119 |
120 | .paragraph p strong {
121 | margin-top: 1em;
122 | display: block;
123 | clear: right;
124 | }
125 |
126 | body, p, blockquote p {
127 | font-family: Palatino, georgia, 'times new roman', serif;
128 | font-size: 16px;
129 | line-height: 25px;
130 | }
131 |
132 | blockquote p,
133 | .quoteblock {
134 | font-style: italic;
135 | margin-bottom: 1.5em;
136 | }
137 |
138 | .quoteblock {
139 | font-style: normal;
140 | margin-left: 2em;
141 | margin-right: 2em;
142 | font-size: 0.9em;
143 | }
144 |
145 | .quoteblock .attribution {
146 | text-align: right;
147 | color: #666;
148 | }
149 |
150 | .quoteblock .attribution br {
151 | display: none;
152 | }
153 |
154 | .quoteblock .attribution em:before {
155 | content: ', ';
156 | }
157 |
158 | .quoteblock .attribution em {
159 | float: right;
160 | }
161 |
162 | .sidebarblock {
163 | border: 1px solid #CCC;
164 | padding: 1em;
165 | background: #F1F1F1;
166 | margin-bottom: 1em;
167 | }
168 |
169 | a {
170 | color: #e04349;
171 | }
172 |
173 | h2, h3, h4, h5, div.title {
174 | font-family: 'AllerBold', 'OpenSansSemibold', Helvetica, sans-serif;
175 | color: #e04349;
176 | margin-bottom: 1em;
177 | clear: right;
178 | }
179 |
180 | h4 {
181 | font-size: 1em;
182 | }
183 |
184 | h5 {
185 | font-size: 0.9em;
186 | }
187 |
188 | ul.toc li {
189 | margin-bottom: 1em;
190 | }
191 |
192 | .btn {
193 | font-family: 'AllerBold', 'OpenSansSemibold', Helvetica, sans-serif;
194 | }
195 |
196 | .header {
197 | padding-top: 2em;
198 | }
199 |
200 | .header .title {
201 | font-family: 'AllerBold', 'OpenSansSemibold', Helvetica, sans-serif;
202 | font-size: 2em;
203 | padding-bottom: 0.5em;
204 | position: relative;
205 | }
206 |
207 | .header .version {
208 | /*
209 | position: absolute;
210 | right: 10em;
211 | display: block;
212 | */
213 | font-size: 14px;
214 | color: #666;
215 | font-variant: small-caps;
216 | }
217 |
218 | .right-align {
219 | text-align: right;
220 | }
221 |
222 | .header img {
223 | margin-bottom: -20px;
224 | margin-right: 1em;
225 | }
226 |
227 | footer {
228 | color: #fff;
229 | font-family: 'OpenSansLight', Helvetica, sans-serif;
230 | padding-top: 1em;
231 | padding-bottom: 2em;
232 | }
233 |
234 | footer p {
235 | font-family: 'OpenSansLight', Helvetica, sans-serif;
236 | font-size: 0.75em;
237 | line-height: 1.5em;
238 | }
239 |
240 | .book-nav-bottom {
241 | margin-top: 2em;
242 | }
243 |
244 | .book-nav-top {
245 | margin-bottom: 1em;
246 | }
247 |
248 | #get-updates {
249 | display: none;
250 | width: 700px;
251 |
252 | margin-left: -350px;
253 | margin-right: -380px;
254 | }
255 |
256 | .btn-warning {
257 | background-color: #e66a6f;
258 | background-image: -moz-linear-gradient(top, #eb8589, #e04349);
259 | background-image: -ms-linear-gradient(top, #eb8589, #e04349);
260 | background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#eb8589), to(#e04349));
261 | background-image: -webkit-linear-gradient(top, #eb8589, #e04349);
262 | background-image: -o-linear-gradient(top, #eb8589, #e04349);
263 | background-image: linear-gradient(top, #eb8589, #e04349);
264 | background-repeat: repeat-x;
265 | filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#eb8589', endColorstr='#e04349', GradientType=0);
266 | border-color: #e04349 #e04349 #b81e24;
267 | border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
268 | *background-color: #e04349;
269 | /* Darken IE7 buttons by default so they stand out more given they won't have borders */
270 |
271 | filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
272 | }
273 | .btn-warning:hover,
274 | .btn-warning:active,
275 | .btn-warning.active,
276 | .btn-warning.disabled,
277 | .btn-warning[disabled] {
278 | background-color: #e04349;
279 | *background-color: #dc2d34;
280 | }
281 | .btn-warning:active,
282 | .btn-warning.active {
283 | background-color: #ce2229 \9;
284 | }
285 |
286 | /* Google search box */
287 |
288 | .cse .gsc-control-cse, .gsc-control-cse {
289 | border: 0px !important;
290 | padding: 0px !important;
291 | background: inherit !important;
292 | }
293 | .gsc-input-box{
294 | height:32px !important;
295 | }
296 |
297 | .gsib_a input{
298 | margin: 0 0 3px !important;
299 | }
300 |
301 | table.gsc-search-box {
302 | float: right;
303 | width: 317px !important;
304 | }
305 |
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1 |
2 |
3 |
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1 | /* =========================================================
2 | * bootstrap-modal.js v2.0.2
3 | * http://twitter.github.com/bootstrap/javascript.html#modals
4 | * =========================================================
5 | * Copyright 2012 Twitter, Inc.
6 | *
7 | * Licensed under the Apache License, Version 2.0 (the "License");
8 | * you may not use this file except in compliance with the License.
9 | * You may obtain a copy of the License at
10 | *
11 | * http://www.apache.org/licenses/LICENSE-2.0
12 | *
13 | * Unless required by applicable law or agreed to in writing, software
14 | * distributed under the License is distributed on an "AS IS" BASIS,
15 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
16 | * See the License for the specific language governing permissions and
17 | * limitations under the License.
18 | * ========================================================= */
19 |
20 |
21 | !function( $ ){
22 |
23 | "use strict"
24 |
25 | /* MODAL CLASS DEFINITION
26 | * ====================== */
27 |
28 | var Modal = function ( content, options ) {
29 | this.options = options
30 | this.$element = $(content)
31 | .delegate('[data-dismiss="modal"]', 'click.dismiss.modal', $.proxy(this.hide, this))
32 | }
33 |
34 | Modal.prototype = {
35 |
36 | constructor: Modal
37 |
38 | , toggle: function () {
39 | return this[!this.isShown ? 'show' : 'hide']()
40 | }
41 |
42 | , show: function () {
43 | var that = this
44 |
45 | if (this.isShown) return
46 |
47 | $('body').addClass('modal-open')
48 |
49 | this.isShown = true
50 | this.$element.trigger('show')
51 |
52 | escape.call(this)
53 | backdrop.call(this, function () {
54 | var transition = $.support.transition && that.$element.hasClass('fade')
55 |
56 | !that.$element.parent().length && that.$element.appendTo(document.body) //don't move modals dom position
57 |
58 | that.$element
59 | .show()
60 |
61 | if (transition) {
62 | that.$element[0].offsetWidth // force reflow
63 | }
64 |
65 | that.$element.addClass('in')
66 |
67 | transition ?
68 | that.$element.one($.support.transition.end, function () { that.$element.trigger('shown') }) :
69 | that.$element.trigger('shown')
70 |
71 | })
72 | }
73 |
74 | , hide: function ( e ) {
75 | e && e.preventDefault()
76 |
77 | if (!this.isShown) return
78 |
79 | var that = this
80 | this.isShown = false
81 |
82 | $('body').removeClass('modal-open')
83 |
84 | escape.call(this)
85 |
86 | this.$element
87 | .trigger('hide')
88 | .removeClass('in')
89 |
90 | $.support.transition && this.$element.hasClass('fade') ?
91 | hideWithTransition.call(this) :
92 | hideModal.call(this)
93 | }
94 |
95 | }
96 |
97 |
98 | /* MODAL PRIVATE METHODS
99 | * ===================== */
100 |
101 | function hideWithTransition() {
102 | var that = this
103 | , timeout = setTimeout(function () {
104 | that.$element.off($.support.transition.end)
105 | hideModal.call(that)
106 | }, 500)
107 |
108 | this.$element.one($.support.transition.end, function () {
109 | clearTimeout(timeout)
110 | hideModal.call(that)
111 | })
112 | }
113 |
114 | function hideModal( that ) {
115 | this.$element
116 | .hide()
117 | .trigger('hidden')
118 |
119 | backdrop.call(this)
120 | }
121 |
122 | function backdrop( callback ) {
123 | var that = this
124 | , animate = this.$element.hasClass('fade') ? 'fade' : ''
125 |
126 | if (this.isShown && this.options.backdrop) {
127 | var doAnimate = $.support.transition && animate
128 |
129 | this.$backdrop = $('')
130 | .appendTo(document.body)
131 |
132 | if (this.options.backdrop != 'static') {
133 | this.$backdrop.click($.proxy(this.hide, this))
134 | }
135 |
136 | if (doAnimate) this.$backdrop[0].offsetWidth // force reflow
137 |
138 | this.$backdrop.addClass('in')
139 |
140 | doAnimate ?
141 | this.$backdrop.one($.support.transition.end, callback) :
142 | callback()
143 |
144 | } else if (!this.isShown && this.$backdrop) {
145 | this.$backdrop.removeClass('in')
146 |
147 | $.support.transition && this.$element.hasClass('fade')?
148 | this.$backdrop.one($.support.transition.end, $.proxy(removeBackdrop, this)) :
149 | removeBackdrop.call(this)
150 |
151 | } else if (callback) {
152 | callback()
153 | }
154 | }
155 |
156 | function removeBackdrop() {
157 | this.$backdrop.remove()
158 | this.$backdrop = null
159 | }
160 |
161 | function escape() {
162 | var that = this
163 | if (this.isShown && this.options.keyboard) {
164 | $(document).on('keyup.dismiss.modal', function ( e ) {
165 | e.which == 27 && that.hide()
166 | })
167 | } else if (!this.isShown) {
168 | $(document).off('keyup.dismiss.modal')
169 | }
170 | }
171 |
172 |
173 | /* MODAL PLUGIN DEFINITION
174 | * ======================= */
175 |
176 | $.fn.modal = function ( option ) {
177 | return this.each(function () {
178 | var $this = $(this)
179 | , data = $this.data('modal')
180 | , options = $.extend({}, $.fn.modal.defaults, $this.data(), typeof option == 'object' && option)
181 | if (!data) $this.data('modal', (data = new Modal(this, options)))
182 | if (typeof option == 'string') data[option]()
183 | else if (options.show) data.show()
184 | })
185 | }
186 |
187 | $.fn.modal.defaults = {
188 | backdrop: true
189 | , keyboard: true
190 | , show: true
191 | }
192 |
193 | $.fn.modal.Constructor = Modal
194 |
195 |
196 | /* MODAL DATA-API
197 | * ============== */
198 |
199 | $(function () {
200 | $('body').on('click.modal.data-api', '[data-toggle="modal"]', function ( e ) {
201 | var $this = $(this), href
202 | , $target = $($this.attr('data-target') || (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')) //strip for ie7
203 | , option = $target.data('modal') ? 'toggle' : $.extend({}, $target.data(), $this.data())
204 |
205 | e.preventDefault()
206 | $target.modal(option)
207 | })
208 | })
209 |
210 | }( window.jQuery );
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/web/js/libs/modernizr-2.5.3.min.js:
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1 | /* Modernizr 2.5.3 (Custom Build) | MIT & BSD
2 | * Build: http://www.modernizr.com/download/#-fontface-backgroundsize-borderimage-borderradius-boxshadow-flexbox-hsla-multiplebgs-opacity-rgba-textshadow-cssanimations-csscolumns-generatedcontent-cssgradients-cssreflections-csstransforms-csstransforms3d-csstransitions-applicationcache-canvas-canvastext-draganddrop-hashchange-history-audio-video-indexeddb-input-inputtypes-localstorage-postmessage-sessionstorage-websockets-websqldatabase-webworkers-geolocation-inlinesvg-smil-svg-svgclippaths-touch-webgl-shiv-mq-cssclasses-addtest-prefixed-teststyles-testprop-testallprops-hasevent-prefixes-domprefixes-load
3 | */
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29 | The Data Journalism Handbook
30 | 1.0
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