Look at the Elections

18 October 2015

On October 18, 2015, Swiss voters elect a new Parliament for the next four years.

snip_201510181systemSource: https://www.bk.admin.ch/

More about Swiss elections here

For the National Council (200 members), 3,802 candidates and more than 22 political parties take part.

And the winners are …

The polling stations closed at 12 AM. The results arrive canton by canton and are presented in an interactive visualisation – minute by minute.


Results as of 5 PM

By clicking one of the symbols, the details for a canton appear.


The results are updated in a database, and a script generates a visualisation on the spot. An easy way to follow the elections!

It’s the Statistical Atlas of the Federal Statistical Office that enables this presentation. And it’s no longer Adobe Flash needed to do it ;-).

More than just Numbers

The historical research uses statistics since ever.  And Official Statistics are a favourite source for quantitative historiography and digital humanities.

‘Statistics are more than just numbers’

Statistics New Zealand depicts the history of the capital Wellington with a popular format – an infographic.

‘In 1865, following a period of heated debate, an independent tribunal of three Australians selected Wellington to be New Zealand’s capital. Since that time a lot has changed in Wellington and Statistics NZ has been able to follow and track that change through the data it collects.’

How true!: ‘Statistics are more than just numbers, they can chart change, record history, and be a tool for decision making.’ (Source: Stats NZ)




Mid-December 2014 Statistics Switzerland launched its first digital publication for tablets (iOs. Android) and (and!) browser, in French and German. The name for this publishing category is ‘DigiPub‘.


In App Store and Google Play

DigiPubs are provided via the SwissStats App available on Apple Store and Google Play (Windows to come later ).



In the browser 2015-07-17_webviewer.

The challenge: Storytelling in times of tablets

Storytelling in the time of tablets and mobile people performs in a new field.
The idea and the message are old – let‘s call it the book paradigm.
But it‘s a book in new clothes. New aspects must be taken into account: new possibilities, skills, tools and processes.



After evaluation, the choice for a performant and sustainable publishing instrument fell on: .folio, an open format, part of Adobe‘s Digital Publishing Suite DPS.

.folio provides:

  • Standardised navigation
  • Wide range of presentation possibilities
  • Integration of internet content
  • Runs on most platforms, also browsers
  • Publication in the major stores
  • Production based on layout programs, editing systems or web content management systems
  • Open format (ZIP archive with PDF, HTML, XML inside).


 Rethink publication !

Electronic publication offers everything needed to make a story appealing. But this means: Rethink publication!

Authors and also publication specialists (publishers, visualisers, layout designers) are challenged

  • in terms of concept with regard to the content that is to be communicated
  • in terms of the presentation due to the possibilities that the medium is opening up
  • in terms of collaboration with specialists.

New ways of working, processes and also changing job descriptions are the result and necessary.


The Concept

The whole story about choosing and developing DigiPubs is in the following presentation:

2015-02-19_dotfolioDownload presentation (format: Powerpoint): Dotfolio.pptx

Download presentation (format: PDF): dotfolio.pdf



Open, Useful, Reusable

In OECD’s brand new publication ‘Government at a Glance 2015’ we can find a new indicator: The OUR Index. It stands for ‘Open, Useful, Reusable Government Data’.

‘The new OECD OURdata Index reveals that many countries have made progress in making public data more available and accessible, but large variations remain, not least with respect to the quality of data provided. Governments need to make participation initiatives more accessible, targeted, relevant and appealing.’ (p.8)


‘The data come from the 2014 OECD Survey on Open Government Data. Survey respondents were predominantly chief information officers in OECD countries and two candidate countries (Colombia and Latvia). Responses represent countries’ own assessments of current practices and procedures regarding open government data. Data refer only to central/federal governments and exclude open government data practices at the state/local levels.’ (p.150)


Based on G8 recommendations

‘The OECD OURdata Index measures government efforts to implement the G8 Open Data charter based on the availability, accessibility and government support to promote the reuse of data, focusing on the central OGD portal in each country'( p.33)

‘The G8 Open Data Charter defines a series of five principles: 1) open data by default; 2) quality and quantity data; 3) usable by all; 4) releasing data for improved governance and; 5) releasing data for innovation, as well as three collective actions to guide the implementation of those principles.’
‘As a first step in producing a comprehensive measure of the level of implementation of the G8 Open Data Charter, the OECD pilot Index on Open government data assesses governments’ efforts to implement open data in three dimensions:
1. Data availability on the national portal (based on principle 1 and collective action 2);
2. Data accessibility on the national portal (based on principle 3) and
3. Governments’ support to innovative re-use and stakeholder engagement (principle 5).
The only principle not covered in this year’s index is Principle 4: Releasing Data for improved governance value (e.g. transparency) as existing measurement efforts have focused primarily on socio economic value creation’ (p.150)


And here comes the ranking

2015-07-10-OURdataIndexData for this chart: http://dx.doi.org/10.1787/888933249180

Detailed data for the countries: http://dx.doi.org/10.1787/888933249175

The publication

The publication: OECD (2015), Government at a Glance 2015, OECD Publishing, Paris. http://dx.doi.org/10.1787/gov_glance-2015-en


Big Data and Official Statistics



Big Data is THE topic of the freshly published Statistical Journal of the IAOS – Volume 31, issue 2.


Five articles deal with Big-Data topics:

In the editorial Fride Eeg-Henriksen and Peter Hackl give an overview of the Big-Data discussions hold in Official Statistics. Here some remarks taken from this editorial:

‘In spite of the wide interest in and the great popularity of Big Data, no clear and commonly accepted definition of the notion Big Data could be established so far [3]. Modern technological, social and economic developments including the growth of smart devices and infrastructure, the growing availability and efficiency of the internet, the appeal of social networking sites and the prevalence and ubiquity of IT systems are resulting in the generation of huge streams of digital data. The complexities of the structure and dynamic of corresponding datasets, the challenges in developing the suitable software tools for data analytics, generally the diversity of potentials in making use of the masses of available data make it difficult to find a suitable and generally applicable definition. The often mentioned characterization of Big Data by 3 – or more – Vs (volume, velocity, variety – as well as veracity and value), does not capture the enormous scope of the corresponding data sets and the extensive potentials of making use of these data. A highly relevant aspect is that Big Data are so large and complex that traditional database management tools and data processing applications are not feasible and efficient means. This is illustrated by a look at the categories of data sources which typically are seen in the context of Big Data: Such data sources may be
– Administrative, e.g., medical records, insurance records, bank records.
– Commercial transactions, e.g., credit card transactions, scanners in supermarkets.
– Sensors, e.g., satellite imaging, environmental sensors, road sensors.
– Tracking devices, e.g., tracking data from mobile telephones, GPS
– Tracks of human behaviour, e.g., online searches, online page viewing.
– Documentation of opinion, e.g., comments posted in social media.


‘A general conclusion from the set of articles in this Special Section can be drawn as follows: The feasibility and the potentials of using Big Data in official statistics have to be assessed from case to case. In some areas the use of Big Data sources has already proved to be feasible. The choice of the appropriate IT technology and statistical methods must be specific for each situation. Also issues like the representativity and the quality of the resulting statistics, or the confidentiality and the risk of disclosure of personal data need to be assessed individually for each case. There is no doubt that Big Data will have a place in the future of official statistics, helping to reduce costs and burden on respondents. However, major efforts will be necessary to establish the routine wise use of Big Data, and new approaches will be needed for assessing all aspects of quality.’

[3] C. Reimsbach-Kounatze, (2015), The Proliferation of “Big Data” and Implications for Official Statistics and Statistical Agencies: A Preliminary Analysis”, OECD Digital Economy Papers, No. 245, OECD Publishing. http://dx.doi.org/10.1787/5js7t9wqzvg8-en


See also: Big Data in Action May 2015


A new animated population pyramid for Germany 1950–2050

Today Destatis released a new projection of Germany’s population by 2060 accompanied by an all new animated population pyramid. It is the first population pyramid that really moves upwards.


In case the above doesn’t display in your preferred language, here are the distinct links for english, french, spanish, russian, german.

The pasted screenshot is the mobile version you will automatically see on small screens. There is much more to explore on larger displays, as birthyears are labeled directly, you can lock an outline for comparison and there are four different variants to choose from, so that you can judge the outcome with different assumptions.

Apart from starting the animation with the (Play) button you can navigate through the years by mousewheel, left/right cursor keys or on touch devices directly by swiping up or down on the pyramid.

Visual first – Visual.ONS

Visual representations of statistical data are attractive – and worth to build an own website with nothing but (info)graphs and maps … and more behind it!

ONS did it:


‘The Office for National Statistics (ONS) is the UK’s largest independent producer of official statistics and is the recognised national statistical institute for the UK. Visual.ONS is a website exploring new approaches to making ONS statistics accessible and relevant to a wide public audience. The site supports the UK Statistic Authority’s publicly stated intention of “making data, statistics and analysis more accessible, engaging and easier to understand”.
The site will be a home to a variety of different content, including infographics, interactive visualisations and short analysis, exploring data from a range of ONS outputs. It is neither a replacement nor a rebuild of the current ONS website which continues to be the home of ONS’ regular outputs and statistics.’

So far the statement of ONS.


More than pictures

Behind the graphs you can find lots of interactive tools.
A calculator to find out life expectancy is one example:


Great! And the graphs and interactive tools can be embedded into other websites.