radar-beta
axis A, B, C, D, E
curve c1{1,2,3,4,5}
radar-beta
axis A, B, C, D, E
curve c1{1,2,3,4,5}
radar-beta
title Language skills
axis English, French, German, Spanish, Dutch, Scottish, Welsh
curve a["User1"]{20, 30, 50, 60, 80, 30, 30}
curve b["User2"]{80, 30, 40, 50, 90, 10, 20}
curve c["User3"]{100, 100, 30, 50, 70, 70, 40}
radar-beta
title Language skills
axis English, French, German, Spanish, Dutch, Scottish, Welsh
curve a["User1"]{20, 30, 50, 60, 80, 30, 30}
curve b["User2"]{80, 30, 40, 50, 90, 10, 20}
curve c["User3"]{100, 100, 30, 50, 70, 70, 40}
Note that combining max, min, and ticks can be useful for "hiding" low data, making anomalously high values more obvious.
radar-beta
title Language skills
axis English, French, German, Spanish, Dutch, Scottish, Welsh
curve a["User1"]{20, 30, 50, 60, 80, 30, 30}
curve b["User2"]{80, 30, 40, 50, 90, 10, 20}
curve c["User3"]{100, 100, 30, 50, 70, 70, 40}
showLegend false
min 10
max 150
graticule polygon
ticks 10
radar-beta
title Language skills
axis English, French, German, Spanish, Dutch, Scottish, Welsh
curve a["User1"]{20, 30, 50, 60, 80, 30, 30}
curve b["User2"]{80, 30, 40, 50, 90, 10, 20}
curve c["User3"]{100, 100, 30, 50, 70, 70, 40}
showLegend false
min 10
max 150
graticule polygon
ticks 10
Combining max, min, and ticks can be useful for "hiding" low data, making anomalously high values more obvious. When doing this, graticule polygon should be used to avoid odd lines.
For example, if we only care about values >3 in our initial diagram:
radar-beta
axis A, B, C, D, E
curve c1{1,2,3,4,5}
min 3
graticule polygon
radar-beta
axis A, B, C, D, E
curve c1{1,2,3,4,5}
min 3
graticule polygon
This can be taken even further, if we only care about a narrow subsection of data (e.g. between 70 and 80):
radar-beta
axis A, B, C, D, E, F
curve c1{20,500,78,76,73,200}
min 70
max 80
ticks 10
graticule polygon
radar-beta
axis A, B, C, D, E
curve c1{1,2,3,4,5}
min 3
graticule polygon
There is additional configuration for the radar diagram, curves, and more.