@@ -20,15 +20,17 @@ library(excelDataGuide)
2020
2121## Introduction
2222
23- Excel is a much used tool in the biochemical laboratory, both to record and to
24- analyze experiments. Often, to save work, we create excel templates when these
25- experiments become a routine. When analyzing a lot of these experiments
26- switching to a scripting language like R or Python for analysis will become
27- useful. Also in these cases the excel template is a useful way to structure the
28- recording of experimental data and metadata.
29-
30- The goal of the excelDataGuide package is to be able to use both spreadsheet
31- and scripts as data analysis tools.
23+ Spreadsheets are a widely used tool in the biochemical laboratory, both to
24+ record and to analyze experiments. When such experiments become a routine we
25+ often create spreadsheet templates to save time and to structure our work. When
26+ analyzing a lot of these experiments switching to a scripting language like R or
27+ Python for analysis will become useful. Also in these cases the spreadsheet template
28+ is a useful way to structure the recording of experimental data and metadata.
29+
30+ The goal of the excelDataGuide package is to be able to use both Excel-compliant
31+ spreadsheets and scripts as data analysis tools. Clearly, a scripting language
32+ has more potential when it comes to analyzing large data sets, consisting of
33+ multiple notebooks.
3234
3335Importantly, ** the source of all data is the spreadsheet.** This concerns
3436metadata, parameters like acceptance criteria, concentrations and measured data.
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