Closed m-kru closed 2 years ago
Hi @m-kru, right now Tangram does not have native support for dates. We require the user to transform dates into reasonable features. Transforming your data into minutes since midnight
sounds like a great idea.
Tangram infers the column types if you do not specify them in the config file. If you're curious, this is the code that pertains to inferring the column type:
match self.column_type {
InferColumnType::Unknown | InferColumnType::Number => {
if fast_float::parse::<f32, &str>(value)
.map(|v| v.is_finite())
.unwrap_or(false)
{
self.column_type = InferColumnType::Number;
} else if self.unique_values.is_some() {
self.column_type = InferColumnType::Enum;
} else {
self.column_type = InferColumnType::Text;
}
}
InferColumnType::Enum => {
if self.unique_values.is_none() {
self.column_type = InferColumnType::Text;
}
}
_ => {}
}
https://github.com/tangramdotdev/tangram/blob/ced26a87425c3f263363a1c772953358385ba61c/crates/table/load.rs
I have some data, where one of columns represents day time in following format:
hours:minutes
, for example22:50
. I was wondering whether I should transform the data into minutes since midnight, for example1370
.This question can further more generalized. How does tangram treat input data values? Does tangram automatically convert data into integer or real number whenever possible, or maybe everything is treated as a string?