JockLawrie

Recovering the input table from a JSONified table

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Hi there, I have been using some code for transforming a DataFrame to JSON and back again, with the requirement that the de-JSONified DataFrame is an exact copy of the...

Loading Float64 results in a column of varchar

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Hi there, I'm loading a `DataFrame` into SQL Server using `ODBC.load`. The data to be loaded has a column of `Float64`. Once loaded, the corresponding column in SQL Server has...

Hi there, I'm loading a `DataFrame` into SQL Server using `ODBC.load`. The data to be loaded has a columns of unsigned ints of various sizes...`UInt8`, `UInt16` and `UInt32`. The code...

Unhelpful error with quantile!(x, q)

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Hi there, When computing quantiles on DataArrays, if the DataArray contains an NA I get an error that could be more helpful. See example below. ``` julia using DataArrays x...

Hi there, Not sure if this issue belongs here but here it is: In terminal A I have an app running on localhost with port 50000. In terminal B I...

Error after the load function has run

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Hi there, I'm using Julia 1.8.2 and ODBC v1.1.2. I'm loading data using the `ODBC.load` function. The data loads, but then I get the error below. Any ideas? Cheers, Jock...

Hi there, I have a large table (~300GB) that is constructed as multiple tables that each contain a subset of the rows. Each of these tables is written to disk,...

Overhaul error correction

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Currently invalid values are set to missing. We can view this as an error correction function: f(invalid_value) = missing. Allow other functions. E.g., f(invalid_value) = filter(isascii, invalid_value) Use regexes to...

Facilitates categorical data. For example, {1: true, 0: false}