Excel
A ubiquitous spreadsheet program frequently used for initial data entry, basic organization, and simple calculations.
What is Excel?
Microsoft Excel is a grid-based spreadsheet application that allows users to input, store, and manipulate data in rows and columns. While not a dedicated statistical or scientific tool, it is almost universally used by researchers as the first step in creating datasets, tracking participant information, or performing quick, exploratory arithmetic and graphing.
Why Excel Matters
Its widespread familiarity makes it the default medium for sharing tabular data, but its limitations in audit trails and advanced statistics mean it must be used cautiously in rigorous research.
Example
A research assistant manually enters survey responses from paper forms into an Excel spreadsheet, standardizes the date formats, and saves the file as a CSV to be imported into R for statistical analysis.
Common Mistakes
- Using Excel for complex statistical analysis, as its algorithms (e.g., for regression) are less accurate than dedicated software and lack a reproducible code trail.
- Failing to realize that Excel automatically formats certain scientific terms (like gene names) into dates, permanently corrupting the data.
- Sorting only a single column instead of the entire dataset, accidentally scrambling the relationship between participants and their data.