Data preparation: Difference between revisions
| Line 5: | Line 5: | ||
===Attributes=== | ===Attributes=== | ||
text to numbers | ====Text attributes==== | ||
extra | Since the {{software}} can only import numerical attributes, it might be convenient to already look at the data to see if there are any text values you want to use later on in for example a indicator or to show in an overlay. | ||
If you would like to use these text attributes, consider a mapping from text to numbers. | |||
See below for an example | |||
====Naming of the data==== | |||
====Extra attributes==== | |||
It also might be convenient to add an extra attribute to your data. | |||
===Legend and colors=== | ===Legend and colors=== | ||
kleurcodes | kleurcodes | ||
Revision as of 08:44, 20 August 2019
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 attributes
Since the Tygron Platform can only import numerical attributes, it might be convenient to already look at the data to see if there are any text values you want to use later on in for example a indicator or to show in an overlay. If you would like to use these text attributes, consider a mapping from text to numbers. See below for an example
Naming of the data
Extra attributes
It also might be convenient to add an extra attribute to your data.
Legend and colors
kleurcodes
Service or file?
wfs optie - template format
Polygons
polygons/buffer