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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Exploring SQL Quries: A HackerRank Dataset

Research datakeyboard_double_arrow_right Dataset 22 Apr 2022 English Publisher:Zenodo

doi: 10.5281/zenodo.8199741

Exploring SQL Quries: A HackerRank Dataset

Abstract

This dataset was crawled from the HackerRank website and contains data related to SQL programming challenges on the HackerRank platform. Hackerrank supports using different DBMSs ( MySQL, MS SQL Server, and Oracle) to submit queries. The dataset includes information about the challenge problems, and submission statistics, and contains 22 programming problems and millions of submission records. On HackerRank, each problem will provide the table structure to be queried. The tables related to this dataset are the "city" table and the "station" table. Detailed information about these two table structures can be found on the HackerRank website. This dataset can be used to analyze the difficulty and popularity of programming challenges, as well as the characteristics of SQL queries. As the dataset is sourced from the HackerRank website, it can be assumed that the samples are randomly selected from programming enthusiasts around the world, making it representative and reliable.

Keywords

Online Judge system, automatic grading, SQL submission

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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