Hello @MGonzalez506,
If you want to filter for fields of a particular type use the isType() function:
import "types"
data
|> filter(fn: (r) => types.isType(v: r._value, type: "string"))
You can do the following instead
from(bucket: "realestatedata")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "real-estate-value")
|> filter(fn: (r) => r["Apartment_Building"] == "SW_JK")
|> filter(fn: (r) => r["_field"] == "Valor")
|> map(fn:(r) => ({r with "_value" : float(v: r["_value"])}))
Then you should be able to visualize them.
Otherwise you might be able to change which column you want to visualize in the customize settings at the top left of the data explorer.
