the talk notes from yesterday's Vienna.rb meetup titled Mining for
Gold Using the World's #1 and Most Popular Data Format (w/ Ruby and
CsvReader) . The contents reads:
- Q: The World's Most Popular Data Format?
- Data Format Timeline / History - Past, Present, Future
- Data Formats @ Statistics Austria
- Triva Quiz: Who Invented the Space Character in Writing (and When)?
- Triva Quiz: Who Invented the Space Character in CSV (and When)?
- Data Formats @ Open Gov Data Austria
- Data Formats @ Open Gov Data United States of America (U.S.A.)
- Data Formats @ DataHub v1
- Data Formats @ DataHub v2 - (Tabular) Data Packages
- And the Winner is ... Lies, Damned Lies and Statistics
- What's Comma-Separated Values (CSV) - One Format? Many Formats?
- CSV Basics - What about commas in values?
- CSV Basics - What about quotes in quotes?
- CSV Basics - Many Formats / Dialects / Variants?
- CSV Basics - Edge Cases
- CSV Basics - Type Inference and Data Converters
- CSV Formats / Variants
- CSV "The Right Way"
- CSV "Strict"
- CSV <3 Numeric
- CSV <3 JSON
- CSV <3 YAML
- Database Export
- PostgreSQL CSV
- PostgreSQL Text
- CsvReader Library Usage
- What about type inference and data converters?
- What about Enumerable?
- What about headers?
- What about symbol keys for hashes?
- What about (typed) structs?
- What about tabular data packages with pre-defined types / schemas?
- Triva Quiz - Mining for Gold - What's the country with the biggest
gold mining / production per year today?
Happy data wrangling / mining with Ruby. Cheers. Prost.
PS: The talk slides from the 2nd talk titled Designing HexaPDF:
Iterarative Design, Orthogonality and Other Design Tools  by Thomas