Skip to main content

Posts

Showing posts from September, 2015

Frie Danske Data - Danish Online and Live Data Sources

Der er en lang række offentligt tilgængelige datakilder, der på hustands, postnummer, kommunalt og regionalt niveau beskriver borgerne og deres ejendomme. Nedenstående liste er ikke komplet, men giver adgang til mange centrale oplysninger. Et par af siderne kræver (gratis) login, hvis man vil tilgå data uhindret.
Send venligst mail med forslag eller opdateringer, også til sider med data fra forskning eller konsulentrapporter …
There are a variety of public available Danish data sources on household, zip code, municipal and regional level. The following list is not exhaustive, but provides access to many key details.
A couple of pages require (free) login for unrestricted access.
Please send mail with suggestions or updates, also to pdfs or pages of data from research or consultancy reports ...

Data vedrørende landskab, infrastruktur, geografi og adresser: Data regarding landscape, infrastructure, geography and addresses:
http://gst.dk/
http://www.aws.dk/
https://www.mastedatabasen.dk/
htt…

Preparing data. A basic example using R-base

The data editing and formatting phase is one of the most important steps in fitting a structural equation model (SEM), whether it is covariance based as in SPSS AMOS and LISREL or a partial least squares model as in smartPLS and warpPLS.
Often you receive data from surveys with a plenitude of different data types: numeric, integer, ordinal, factor, indicator, text comments.
One of the first steps is to decide what to include in an analysis. Should we transform data and perform analysis of marginal distributions before running a CB-SEM, study relations between ordinal variables with LISREL or just clean up data and do a robust exploratory PLS-SEM?
We are going to scrap unused variables and perform tasks such as imputation or calculation of indicators of factor levels beforehand, split data into several sheets or files with appropriate keys or identifiers. Then comes the formatting issue. Lots of survey data come as  SPSS sav files or in the SAS sas7dbat file format, and if your analyzi…