Reading tabular data

Read table data into R

library("redivis")

# Specify the table's container, either a dataset or workflow
dataset <- redivis$organization("Demo")$dataset("iris_species")

table <- dataset$table("Iris")
table$to_tibble()
# 	Id	SepalLengthCm	SepalWidthCm	PetalLengthCm	PetalWidthCm	Species
# 0	33	5.2	        4.1	        1.5	        0.1	        Iris-setosa
# ...

# Other methods to read data:
# table$to_arrow_batch_reader()
# table$to_arrow_dataset()
# table$to_arrow_dataset()
# table$to_data_frame()
# table$to_data_table()
# table$to_sf_tibble()

Read table metadata

library("redivis")

table <- redivis$organization("Demo")$dataset("iris_species")$table("iris")

variable <- table$variable("sepalLengthCm")
variable$get(wait_for_statistics=TRUE) 

print(variable$properties)

{
	"kind": "variable",
	... (see variable resource definition)
	"statistics": {
		"status": "completed",
		"count": 150,
		"numDistinct": 35,
		"min": 4.3,
		"max": 7.9,
		"mean": 5.8433333333333355,
		"approxMedian": 0.8280661279778625
	}
}

Load a table within a Redivis notebook

# In a notebook, all tables are scoped to the current workflow.
# Additionally, the notebook's source table can simply be referenced as _source_
table = redivis$table("_source_")

table$to_tibble()