Hi reddit! I made a map to visually explore the rental (and sales) market in Switzerland. Update: I added lakes, postal code filter, zoom and a time chart, would love your feedback!



by obolli

15 comments

  3. So I worked a little on it the past few evenings and last weekend and I tried to incorporate the feedback I got from you.

    u/Top-Currency and so many others really wanted to see lakes. It took a while but I think it turned out ok. They are fairly transparent but I agree, it helps a lot. Thanks to u/flarp1 for pointing me to the right resources.

    I added the filter to make sure the data is more understandable, i.e. Flats, Houses, Garages, Offices, Storages can be filtered out if you want.

    There are still some outliers, like a huge parking lot near geneva that skews the average a little, I’ll convert the graphs to the median next.

    A legend is now present, I’m still playing around with the color scale.

    Zoom is back, I worked on it so it’s smoother to transition back to the normal size once you scroll out.

    **Todo:**

    * Mobile Version
    * Population and Income data per Postcode/Canton
    * Price increase map
    * Filter by rooms i.e. 2, 2.5, 3, 3.5 rooms.

    Which one of these would interest you the most? I would prioritize it for the next week. Is there anything again that you’d like to see? Lakes really helped a lot and it would have been something I wouldn’t have thought of myself.

    What I found interesting is that houses did seem to get smaller over time, the price per sqm became migher. I will add this to the chart

    If you’d like to try it it’s on [https://foxai.ch/](https://foxai.ch/) (probably temporary domain)

  7. awesome work! well done! dumb question: are you thinking about mixings different datas, hmm for example: average income / average rent, rent district Y vs rent district Z stuff like that.

  8. Good stuff. Would be good to have a zoom on the map as when you go to post code it gets really small

  9. Pretty cool page. You should link your profile, linkedin, website or something somewhere on the page, for example in the footer

  10. On mobile you still can’t zoom in far enough for it to be usable

  11. Nice

    I’m wondering where you’re getting your data from though.

  14. Amazing work! Are you planing on doing it for other countries?

  15. Great job! On the mobile version the post code filter has issues. The lowest data point must refer to a parking slot rather than accommodation.

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