Data preparation: Difference between revisions
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===Why preparing data?=== | ===Why preparing data?=== | ||
Preparing data is useful when you have datasets available which you always use and need in your projects. For example, if you take the MKP of the Province of Utrecht. For their indicators and alerts to work, they need to import into every new project a lot of their datasets. It can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. | |||
===Attributes=== | ===Attributes=== | ||
Revision as of 08:38, 20 August 2019
Please note: This page is currently being updated.
Why preparing data?
Preparing data is useful when you have datasets available which you always use and need in your projects. For example, if you take the MKP of the Province of Utrecht. For their indicators and alerts to work, they need to import into every new project a lot of their datasets. It can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you.
Attributes
text to numbers extra attributen
Legend and colors
kleurcodes
Service or file?
wfs optie - template format
Polygons
polygons/buffer