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Random stratified (2): Rows are chosen at random within N strata defined by the user. In each stratum, the number of sampled observations is proportional to the relative frequency of the stratum.
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It also includes data mining features (e.g principal component analysis, correspondence analysis…) and clustering methods (e.g agglomerative hierarchical clustering, k-means…).
The Basic solution is the perfect package to get started with data analysis. It includes more than 100 key statistical tools to help you gain in-depth insights into your data.
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