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    1. * Source: Collection of data from https://www.nrk.no/valg/2025/valgomat/storting/nb
      * Tools: Spreadsheet, Javascript/Node.js, Homegrown web app using Plotly

      **Background:** This is the outcome of collecting data from a vote matching tool created by the Norwegian Broadcasting Corporation. In this tool, 59 separate claims were made, and each parties‘ response were put into one of four categories: „Strongly disagree“, „Somewhat disagree“, „Somewhat agree“ and „Strongly agree“. In the diagrams in this post, the responses were substituted with scores of 1,2, 4 and 5 respectively – as such adding an extra divide between agree/disagree.

      The parties whose responses were collected, on a subjective rank from „most right-wing“ to „most left-wing“:

      * FRP, Fremskrittspartiet, en. Progress Party
      * H, Høyre, en. Conservatives
      * KrF, Kristelig Folkeparti, en. Christian Democrats
      * V, Venstre, en. Liberals
      * SP, Senterpartiet, en. Centre/Centre Party
      * AP, Arbeiderpartiet, en. Labour
      * MDG, Miljøpartiet De Grønne, en. Green Party
      * SV, Sosialistisk Venstreparti, en. Socialist Left
      * R, Rødt., en. Red

      The dividing line between the right and left is typically between V and SP.

      **Method:** For each question/claim in the tool, the absolute difference between each party was collected, so for instance R answering „Strongly agree“ and FrP answering „Strongly disagree“ would result in a difference score of 4 for that question. The difference score is the sum of differences for all questions.

      **Tools used:** Spreadsheet for collecting the numbers, exported to CSV. This was then further processed and grouped by a Javascript, to then be output using Plot.ly in a web browser, and exported to PNG.

    2. It’s a cool idea but as a non-norwegian person it would have been helpful to at least have some insight on what topics are measured and what the rough political affiliation of these parties is.

    3. r/dataisillegible

      Sorry OP but this one needed more time in the oven. The data is probably interesting, but you can’t understand anything at a glance.

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