Pith. sign in

REVIEW

CluBear: A Subsampling Package for Interactive Statistical Analysis with Massive Data on A Single Machine

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2312.17065 v1 pith:3NONMRZ3 submitted 2023-12-28 stat.ME cs.SEstat.AP

classification stat.MEcs.SEstat.AP
keywords clubearanalysisdatainteractivemassivepackagestatisticalcommonly
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

This article introduces CluBear, a Python-based open-source package for interactive massive data analysis. The key feature of CluBear is that it enables users to conduct convenient and interactive statistical analysis of massive data with only a traditional single-computer system. Thus, CluBear provides a cost-effective solution when mining large-scale datasets. In addition, the CluBear package integrates many commonly used statistical and graphical tools, which are useful for most commonly encountered data analysis tasks.

Discussion (0). Continue with ORCID to comment.

Pith tools