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Structured data processing in Kotlin

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While the auto inferring of types is cool, it makes mistakes. This is logical since there are some things it just cannot know. For instance in json: What's the type...

Some read/write operations may yield unexpected results, for example 1. reading CSV file with non-default delimiter could produce a dataframe with one column instead of 5. There is a %trackExecutions...

research

Hello, found this annoying situation where a schema would be printed as ``` F1: Comparable F2: String F3: String F4: String F5: Comparable F6: String ``` This creates 3 kinds...

invalid
question

Fixes the empty array conversion described in https://github.com/Kotlin/dataframe/issues/143 I'll try to see if I can fix the other issues too, as well as check the generation using the plugin :)

Let's say I have the following sample data from the [Magical Location Clock app](https://mlc.jolanrensen.nl/help/group-data-api#h.oan9zw3gh0ca) ```json { "0": { "name": "Kwijt 🤷", "people": [ "Ronald", "Jolan" ], "peopleIds": [ 1544198659362550, 1556728145307124...

i read docs couldn't really find anything clarifying this, although title in readme file pretty much says "in-memory" suppose i have a 6gb structured dataset, in pandas for instance i...

research
performance

Hi, when trying to convert values like String to Double and there is an invalid value, an error is thrown. Maybe change this behaviour to convert invalid values to NA...

I miss this function: ```kotlin df.convert("date_time").toLocalDateTime("yyyy-MM-dd'T'HH:mm:ss'Z'") ```

Hey, how to read excel tables that don't have their headers on the first row? Many scientific applications export their data with printing device information into the first rows and...