Semi-structured data is data that is not captured or formatted by traditional methods. Semi-structured data does not follow the format of a tabular data model or relational databases because it does not have a fixed schema. However, the data is not completely raw or unstructured and has some structural elements, such as labels and organizational superdata, which will facilitate its analysis. The advantages of semi-structured data are that they are more flexible and simpler to scale compared to structured data.
Julia is an open-source, dynamic, high-level programming language designed for high-performance scientific computation and data analysis. Started in 2012 at MIT by Jeff Bezanson, Stefan Karpinski, Viral Shah, and Alan Edelman, Julia is designed with the philosophy of “write fast code, run fast”.
Python is an object-oriented, high-level programming language developed by Guido van Rossum. It first appeared in 1991. Designed to be both easy and fun, the name “Python” is a greeting to the British comedy group Monty Python.
Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data in such a way that those contained in the same group (cluster) are similar to each other but different from those in the other group.
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