[okfn-be] Dataset on vehicle registrations in Belgium

[Stijn Van Hoey]

Dear Pieter/all,

Just as a quick test on the registration data, 
https://github.com/stijnvanhoey/open_data_showcases/tree/master/vehicle_registration_example 
(or viewed with nbviewer: 
http://nbviewer.ipython.org/github/stijnvanhoey/open_data_showcases/blob/master/vehicle_registration_example/car_data.ipynb) 
used as example of the usage of Python Pandas and Seaborn. Maybe this is 
not really example of usage illustrating the usefulness of the data 
itself, however interesting as teaching material for basic data-analysis 
(Check the large amount of second hand vans or the incredible amount of 
8 registered new electric cars,...).

As remark/feedback to improve:
- metadata with explanations about categories, header info... would 
really be helpful. For example, the Euro Norm COdes are given in arabic 
and roman numbers, dependent on the type of vehicle.
- no-value columns are currently given as empty strings ('   '), I would 
be more clear about missing/null values
- CO2 Category is currently 99 or nan; is this correct?

grs,
Stijn Van Hoey


On 03/23/2015 10:48 AM, Ton Zijlstra wrote:
>
> Hi Pieter, all
>
> In NL the vehicle registrations including the license plates and 
> technical vehicle information  is being published. This is being 
> reused for various purposes by both car industry as well as novel uses 
> like seeing which cars registered on your birthday are still on the 
> road, distribution of car colors over time etc.
>
> Ton
>
> Op 23 mrt. 2015 10:43 schreef "Pieter Colpaert" 
> <pieter.colpaert at okfn.org <mailto:pieter.colpaert at okfn.org>>:
>
>     Hi all,
>
>     Is someone interested in a dataset on vehicle registrations? It's
>     now available as open data over here:
>
>
>
>     I've overheard the data publisher is not really enthusiastic about
>     this: they claim there isn't a lot of interest for this kind of
>     data anyway and that no one is going to reuse it. Can we provide
>     them with some kind of feedback which would maximise reuse, or can
>     we show them a good use of the data?
>
>     Kind regards,
>
>     Pieter
>
>     -- 
>     +32 486 74 71 22
>
>     Open Knowledge Belgium
>     http://okfn.be
>
>     Open Transport community
>     http://transport.okfn.org
>
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