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vignettes/writing_templates_and_data_guides.Rmd

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## Introduction
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Excel is a much used tool in the biochemical laboratory, both to record and to
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analyze experiments. Often, to save work, we create excel templates when these
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experiments become a routine. When analyzing a lot of these experiments
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switching to a scripting language like R or Python for analysis will become
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useful. Also in these cases the excel template is a useful way to structure the
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recording of experimental data and metadata.
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The goal of the excelDataGuide package is to be able to use both spreadsheet
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and scripts as data analysis tools.
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Spreadsheets are a widely used tool in the biochemical laboratory, both to
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record and to analyze experiments. When such experiments become a routine we
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often create spreadsheet templates to save time and to structure our work. When
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analyzing a lot of these experiments switching to a scripting language like R or
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Python for analysis will become useful. Also in these cases the spreadsheet template
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is a useful way to structure the recording of experimental data and metadata.
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The goal of the excelDataGuide package is to be able to use both Excel-compliant
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spreadsheets and scripts as data analysis tools. Clearly, a scripting language
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has more potential when it comes to analyzing large data sets, consisting of
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multiple notebooks.
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Importantly, **the source of all data is the spreadsheet.** This concerns
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metadata, parameters like acceptance criteria, concentrations and measured data.

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