As the name indicates, it’s primarily meant for social sciences data analysis: Statistical Package for the Social Sciences. SPSS seems it’s been around for ages, and indeed the user experience feels like something from decades ago.īut SPSS is strong in complex, multi-variant analysis, and it can handle large datasets (if you have some time to spare).
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That comes in handy when preparing series of plots e.g., exchange rates over the same period for different currencies.
You can optimize repetitive actions using macros (pre-programmed procedures). Rescaling plots with several added elements requires adjustments, which can be annoying and take time. Modifying the data range may also pose problems. Nonstandard data fitting can be confusing. You have to first work with your data before you can plot it. Excel will suffice for a basic population study or representation of survey results.Įxcel worksheets are intuitive, at least for basic applications. You can choose from many popular graphs, like lines, bars, pie charts, and scatter plots.Ĭhart design is limited, though, so it definitely won’t be the most eye-catching piece of your article. Plotting your data is pretty easy in Excel. Microsoft Excel is a tried-and-true spreadsheet tool that can also turn numerical data into figures. Well suited for financial data visualization, not so much for advanced math, physics, etc. Price: Depends on MS Office package and regionīest for: Analysis of moderate amounts of data (as opposed to huge data sets).
And that’s just for starters! Microsoft Excel
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