docker/example in red_amber-0.4.2 vs docker/example in red_amber-0.5.0

@@ -1,66 +1,78 @@
 #!/usr/bin/env ruby
 # frozen_string_literal: true
 
-$stderr.print "starting.\r"
+print "starting.\r"
 
-require 'bundler/setup'
+Dir.chdir(__dir__) { require 'bundler/setup' }
 
-$stderr.print "starting..\r"
+print "starting..\r"
 require 'red_amber'
 include RedAmber
 
-$stderr.print "starting...\r"
+print "starting...\r"
 require 'datasets-arrow'
 
-$stderr.print "reading penguins...\r"
+print "reading penguins...\r"
 penguins = DataFrame.new(Datasets::Penguins.new)
 
-$stderr.print "reading diamonds...\r"
+print "reading diamonds...\r"
 diamonds = DataFrame.new(Datasets::Diamonds.new)
 
-$stderr.print "reading starwars...\r"
+print "reading starwars...\r"
 starwars = DataFrame.new(Datasets::Rdataset.new('dplyr', 'starwars'))
 
-$stderr.print "reading openintro/simpsons_paradox_covid...\r"
+print "reading openintro/simpsons_paradox_covid...\r"
 ds = Datasets::Rdataset.new('openintro', 'simpsons_paradox_covid')
 simpsons_paradox_covid = DataFrame.new(ds.to_arrow)
 
-$stderr.print "reading mtcars...                          \r"
+print "reading mtcars...                          \r"
 mtcars = DataFrame.new(Datasets::Rdatasets.new('datasets', 'mtcars'))
 
-$stderr.print "reading iris...  \r"
+print "reading iris...  \r"
 iris = DataFrame.new(Datasets::Iris.new)
 
-$stderr.print "reading band_members...\r"
+print "reading band_members...\r"
 band_members = DataFrame.new(Datasets::Rdatasets.new('dplyr', 'band_members'))
 
-$stderr.print "reading band_instruments...\r"
+print "reading band_instruments...\r"
 band_instruments = DataFrame.new(Datasets::Rdatasets.new('dplyr', 'band_instruments'))
 
-$stderr.print "reading band_instruments2...\r"
+print "reading band_instruments2...\r"
 band_instruments2 = DataFrame.new(Datasets::Rdatasets.new('dplyr', 'band_instruments2'))
 
-$stderr.print "reading import_cars...      \r"
+print "reading import_cars...      \r"
 import_cars = DataFrame.load(Arrow::Buffer.new(<<~TSV), format: :tsv)
   Year	Audi	BMW	BMW_MINI	Mercedes-Benz	VW
   2017	28336	52527	25427	68221	49040
   2018	26473	50982	25984	67554	51961
   2019	24222	46814	23813	66553	46794
   2020	22304	35712	20196	57041	36576
   2021	22535	35905	18211	51722	35215
 TSV
 
-$stderr.print "reading comecome...   \r"
+print "reading comecome...   \r"
 comecome = DataFrame.load(Arrow::Buffer.new(<<~CSV), format: :csv)
   name,age
   Yasuko,68
   Rui,49
   Hinata,28
 CSV
 
-$stderr.print "reading general dataframe and subframes...\r"
+print "reading rubykaigi...   \r"
+rubykaigi = DataFrame.load(Arrow::Buffer.new(<<~CSV), format: :csv)
+  year,venue,prefecture,city,venue_en
+  2015,ベルサール汐留,東京都,中央区,"Bellesalle Shiodome"
+  2016,京都国際会議場,京都府,京都市左京区,"Kyoto International Conference Center"
+  2017,広島国際会議場,広島県,広島市中区,"International Conference Center Hiroshima"
+  2018,仙台国際センター,宮城県,仙台市青葉区,"Sendai International Center"
+  2019,福岡国際会議場,福岡県,福岡市博多区,"Fukuoka International Congress Center"
+  2022,三重県総合文化センター,三重県,津市,"Mie Center for the Arts"
+  2023,松本市民芸術館,長野県,松本市,"Matsumoto Performing Arts Centre"
+CSV
+
+print "reading general dataframe and subframes...\r"
 dataframe = DataFrame.new(
   x: [*1..6],
   y: %w[A A B B B C],
   z: [false, true, false, nil, true, false]
 )
@@ -68,7 +80,7 @@
 
 # Welcome to RedAmber example!
 # This environment will offer these pre-loaded datasets:
 #   penguins, diamonds, iris, starwars, simpsons_paradox_covid,
 #   mtcars, band_members, band_instruments, band_instruments2
-#   (original) import_cars, comecome, dataframe, subframes
+#   import_cars, comecome, rubykaigi, dataframe, subframes
 binding.irb