Comparative review of statistical packages for data analysis

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The article is devoted to an overview of software products designed for data analysis, the use of which is an important step in any research project, since it allows the researcher to comprehend the collected data and draw meaningful conclusions. The large amount of data generated every day has led to an increased demand for efficient data analysis software. Today, a wide range of statistical packages are available to help in the process of data analysis, each of which offers different functions and capabilities. This paper provides an overview and comparison of some of the most popular available statistical packages and cloud-based data analysis platforms. In order to briefly compare the capabilities of the resources under consideration, for some packages, the possibilities of approximating statistical data by a Fourier series are given. Comparison of statistical packages was based on the period of their creation, cost, popularity and subject areas in which.

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Statistics, software packages, data analysis, big data, data processing

Короткий адрес: https://sciup.org/148327263

IDR: 148327263   |   DOI: 10.18101/2304-5728-2023-3-78-89

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