DataFrame: Kotlin's Innovative Approach to Data Structures
summary
Shows a working Kotlin Dataframe workflow: reads nested JSON, converts to tables, adds a new CompanyID column, groups and plots top 15 companies, and handles hierarchical speaker arrays. Uses Kotlin Notebooks (embedded in IntelliJ or in-process with Spring), Ktor client, JavaFaker to generate 100 fake owners and fetch 2,011 speakers, and kandy plotting; demos succeed live. Highlights the new on-the-fly column type inference via a Kotlin Dataframe compiler plugin and the live REPL power of Kotlin Notebooks + Spring.
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chapters (6)
- 0:00Introduction and agenda
- 2:34Kotlin notebooks overview
- 13:26Spring integration
- 26:19Data manipulation with APIs
- 37:50Dataframes and plotting
- 44:00Advanced schema generation
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