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update history and readme with new info
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.travis.yml

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fast_finish:
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true
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env:
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- DARU_TEST_NMATRIX=1
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- DARU_TEST_GSL=1
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script:
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- bundle add yard-junk
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- bundle install

History.md

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# 0.3 (30 May 2020)
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* Major Enhacements
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- Remove official support for Ruby < 2.5.1. Now we only test with 2.5.1 and 2.7.1. (@v0dro)
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- Make nmatrix and gsl optional dependencies for testing. (@v0dro)
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- Update sqlite, activerecord, nokogiri, packable, rake dependencies. (@v0dro)
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- Remove runtime dependency on backports. (@v0dro)
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- Add `Daru::Vector#match and Daru::Vector#apply_where` methods (@athityakumar).
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- Add support for options to the `Daru` module. Adds a separate module `Daru::Configuration` that
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can hold data for overall configuration of daru's execution. (@kojix2)
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* Minor Enhancements
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- Add new `DataFrame#insert_vector` method. (@cyrillefr)
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- Add `Vector#last`. (@kojix2)
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- Add `DataFrame#rename_vectors!`. (@neumanrq)
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- Refactor `GroupBy#apply_method`. (@paisible-wanderer)
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- Auto-adjust header parameters when printing to terminal. (@ncs1)
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- Infer offsets of timeseries automatically when they are a natural number multiple of seconds. (@jpaulgs)
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# 0.2.2 (8 August 2019)
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* Minor Enhancements

README.md

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daru (Data Analysis in RUby) is a library for storage, analysis, manipulation and visualization of data in Ruby.
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daru makes it easy and intuitive to process data predominantly through 2 data structures: `Daru::DataFrame` and `Daru::Vector`. Written in pure Ruby works with all ruby implementations. Tested with MRI 2.0, 2.1, 2.2, 2.3, and 2.4.
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daru makes it easy and intuitive to process data predominantly through 2 data structures:
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`Daru::DataFrame` and `Daru::Vector`. Written in pure Ruby works with all ruby implementations.
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Tested with MRI 2.5.1 and 2.7.1.
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## daru plugin gems
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