Map of apartment building management companies in Ljubljana

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Some time ago, I did an analysis of building manager companies for dnevnik.si. It was an interesting project, because there’s much controversy surrounding this topic. Some of these companies have been in bitter disputes with the residents and competing companies over their business, generating a lot of newspaper coverage. We did a simple analysis to deterimine market shares and relative winners and losers in comparison to market leader. Here’s an

Grouping entries in Slovenian Wikipedia by contributors

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Some time ago, I helped Miha Mazzini extract some data from Slovenian Wikipedia. For that, I needed to write a comprehensive parser, extracting not only titles and text, but also number of overall and per-contributor revisions, along with contributor usernames. So, for each entry, I got a list of contributing accounts and number of edits that were performed by that account. I wondered: how are the areas of expertise distributed

Analysis of traffic violations in Slovenia between beginning of 2012 and end of 2014

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This is my first attempt to use open data for data visualization in web presentation and for a mobile app. The idea was to cross-pollinate promotion, but it didn’t go so well – more on this later. The analysis is published on a separate URL due to heavy use of JavaScript, which complicates things in WordPress. Click link above or the big image with parking ticket to read it. According

Interactive visualization of Global Gender Gap Index 2013 report

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This is a brief visualization of Global Gender Gap 2013 Index report by World Economic Forum. As the report authors say, The Global Gender Gap Index examines the gap between men and women in four fundamental categories (subindexes): Economic Participation and Opportunity, Educational Attainment, Health and Survival and Political Empowerment. Table 1 displays all four of these subindexes and the 14 different indicators that compose them, along with the sources

Slovenian real estate prices mapped

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There has recently been a flurry of activity by self-made mappers on the net that major media have noticed. It seems that proliferation of tools such as the excellent TileMill does help to make custom maps a relatively painless, yet still laborious process. In my experience, a major hurdle in this process is getting good data. Governments and corporations around the globe have made acquiring the goods easier, but the

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