Once the data has been collected, appropriate data analysis methods have to be chosen. The choice of the method depends on the type of data collected—some data analysis methods require certain specific types of data. It is pertinent to remember that data analysis tools help researchers quantify...
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Data manipulation is possible through the tools built into Julia (such as map, filter, and reduce) and those provide by SplitApplyCombine.jl (like group and innerjoin). You can speed up data analysis tasks with acceleration indices, by using the AcceleratedArrays.jl package. This package is ...
There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer’s repertoire. They’re not just powerful; they’re easy to use. In fact, most of these tools feature simple, point...
ASTERICS makes the analysis and combined analyses of datasets easily accessible to people not expert in statistics, data science and programming. Other tools like Orange [39] might provide a more extensive panel of statistical and machine learning methods but they do not offer the same level of ...
Gert-Jan:I was working a lot with data and did it with Excel, Access, with all kinds of tools. And with Tableau, life became only more enjoyable and it is much faster, it is much easier, you can do a lot more with it, you can share much more easily with people, give access...
[14], 2) it uses a simple input format, 3) it can plot multiple ROC curves simultaneously, 4) the output data is compact, simple and can be exported for further analysis with other statistical tools; and 5) it generates a human-readable report in PDF format, which is useful for a ...
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