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require 'roo' | |
# Spreadsheet courtesy of the A List Apart 2010 Web Design Survey: | |
# http://www.alistapart.com/articles/survey2010 | |
workbook = Excel.new('a-list-apart-web-design-survey-sample.xls') | |
# Set the worksheet you want to work with as the default worksheet. You could | |
# also iterate over all the worksheets in the workbook. | |
workbook.default_sheet = workbook.sheets[0] | |
# Create a hash of the headers so we can access columns by name (assuming row | |
# 1 contains the column headings). This will also grab any data in hidden | |
# columns. | |
headers = Hash.new | |
workbook.row(1).each_with_index {|header,i| | |
headers[header] = i | |
} | |
# Iterate over the rows using the `first_row` and `last_row` methods. Skip | |
# the header row in the range. | |
((workbook.first_row + 1)..workbook.last_row).each do |row| | |
# Get the column data using the column heading. | |
age = workbook.row(row)[headers['What is your age in years?']] | |
gender = workbook.row(row)[headers['What is your gender?']] | |
most_identify_with = workbook.row(row)[headers['With which of these groups do you most identify?']] | |
global_region = workbook.row(row)[headers['In which global region are you located?']] | |
country = workbook.row(row)[headers['In which country are you located?']] | |
education = workbook.row(row)[headers['What is the highest level of education you have completed?']] | |
academics_helpfulness = workbook.row(row)[headers['How much have your academic studies helped you in your web work?']] | |
print "Row: #{age}, #{gender}, #{most_identify_with}, #{global_region}, #{country}, #{education}, #{academics_helpfulness}\n\n" | |
end |
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