create CV

Create a column-value data log item for a data value.

datalogger.createCV("", 0)

Data values that are written to the data log are assigned to a column in order to identify what their value is related to. Before logging a data value, it is formatted as a “CV” or “column-value” data item. A column name is attached to a data value this way.

A data log entry is written to the data log as an array of one or more “column-value” data item objects. This function creates the data item for the value you want to include in a log entry.

Parameters

• column: a string name that identifies the data value.
• value: a data value of any type that is logged with the column name.

Example

Button states

Record the state of the buttons on the Calliope mini every 500 milliseconds.

loops.everyInterval(500, function () {
    datalogger.logData([datalogger.createCV("Button A", input.buttonIsPressed(Button.A)), datalogger.createCV("Button B", input.buttonIsPressed(Button.B))])
})

Mood experiment

Create an experiment to record a person’s moods and relate them to current environmental factors. Set 3 button options for moods of “happy”, “sad”, and “angry”. When the user signals their mood by pressing a button, read the current temperature, light level, and sound level to establish a relationship between those factors and mood.

input.onButtonEvent(Button.A, input.buttonEventClick(), function () {
    logMood("happy")
})
function logMood (mood: string) {
    columns[0] = datalogger.createCV("mood", mood)
    columns[1] = datalogger.createCV("light", input.lightLevel())
    columns[2] = datalogger.createCV("sound", input.soundLevel())
    columns[3] = datalogger.createCV("temperature", input.temperature())
    datalogger.logData(columns)
}
input.onButtonEvent(Button.AB, input.buttonEventClick(), function () {
    logMood("angry")
})
input.onButtonEvent(Button.B, input.buttonEventClick(), function () {
    logMood("sad")
})
let columns: datalogger.ColumnValue[] = []
datalogger.setColumns([
"mood",
"light",
"sound",
"temperature"
])
columns = [
datalogger.createCV("", 0),
datalogger.createCV("", 0),
datalogger.createCV("", 0),
datalogger.createCV("", 0)
]

See also

log data, set columns

datalogger