36 lines
1 KiB
Julia
Executable file
36 lines
1 KiB
Julia
Executable file
#!/usr/bin/env julia
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using CSV
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using DataFrames
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using Mustache
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# Import data
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survey_data = DataFrame(CSV.File("data.tsv"; delim='\t', normalizenames=true))
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deleteat!(survey_data, 2)
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# Set descriptions of each column based on the actual question asked
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for (i, col) in enumerate(eachcol(survey_data))
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colmetadata!(survey_data, i, "description", first(col))
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end #for
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# Remove the messy JSON encoding
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# TODO: For later graphs, move this step _before_ the import so that DataFrames can properly
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# infer types
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# deleteat!(survey_data, [1,2])
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# Compile comments from all requested questions
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questions = [:Q8, :Q16, :Q29, :Q30]
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for q in questions
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open("$q.md", "w") do f
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write(f, "# Antimicrobial usage survey open-ended question: $q\n\n")
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for (i, a) in enumerate(skipmissing(survey_data[!, q]))
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if i == 1
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write(f, "**$a**\n\n")
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else
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write(f, "$a\n\n")
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end #if
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end #for
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end #do
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run(`pandoc $q.md -o $q.docx`)
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end #for
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