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Create a CSV data generator script that will generate benchmark data. Specifically I would like to measure the library's performance on all operations given:
A very wide dataset - for benchmarking row level operations
A very long dataset - for benchmarking columnar operations
A dataset of all strings - for benchmarking reading without type inference
A dataset with that's mostly numbers - for benchmarking reading with type inference
This is useful to have as a script rather than a dataset since it allows me to tune my numbers to be appropriate to the execution environment.
Also as an aside it would be useful to run this benchmark against:
polars (in-memory)
pandas
Frames
dplyr
dataframes.jl
Then compare performance.
The text was updated successfully, but these errors were encountered:
Create a CSV data generator script that will generate benchmark data. Specifically I would like to measure the library's performance on all operations given:
This is useful to have as a script rather than a dataset since it allows me to tune my numbers to be appropriate to the execution environment.
Also as an aside it would be useful to run this benchmark against:
Then compare performance.
The text was updated successfully, but these errors were encountered: