Data Profiling, Quality & More for Public Datasets by Data Oculus icon

Data Profiling, Quality & More for Public Datasets by Data Oculus

Provides deeper exploratory analysis to Data Scientists & Engineers for all public datasets on Kaggle and Google cloud.

用户数31
评分4.0
评论数3
Manifest 版本V3
7日增长+6
7日增长率+24%
视觉预览

Data Profiling, Quality & More for Public Datasets by Data Oculus 媒体预览

5 项素材
趋势

30 日用户趋势

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用户增长趋势

27282930312026年6月8日2026年6月11日2026年6月14日最新值: 31
评分趋势

30 日评分变化

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30 日评分变化

起始值
4.00
最新值
4.00
30 日评分变化
0.00
3.903.954.004.054.102026年6月8日2026年6月11日2026年6月14日最新值: 4.00
2026年6月8日2026年6月14日
增长概览

日/周/月增长表现

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1日增长持平
00%
7日增长增长
+6+24%
30日增长增长
+4+14.8%
技术摘要

版本、语言与抓取信息

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版本1.5.7
ManifestV3
大小18.69KiB
语言数1English
发布时间
最近更新
最近抓取
English
简介

插件简介

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Do you use public datasets? Then this extension is built to help you save time !.

How to use (video): https://app.arcade.software/share/8y714Jv7tRFgQTLWHnhD

Introducing Data Oculus - A data (watch) dog for public datasets and designed to provide full quality report for public dataset that helps to do EDA for data scientists. It's a complete 360° data quality platform that provides detail insights on profiling and data quality. (top features described below), empowering data scientists and engineers to easily evaluate and extract maximum value from every public dataset.

No need to register new account, just sign-in with your Gmail to login and access all features of the app for free.

How Data Oculus works? :

Data Oculus leverages advanced algorithms and machine learning techniques to efficiently profile and analyze public datasets, offering a comprehensive overview of their structure, quality, and characteristics. From basic statistics to complex patterns, from missing value maps to dynamic bins histograms, this extension unveils hidden insights and potential issues within the data, enabling data scientists to make informed decisions and drive impactful analyses. Gone are the days of tedious manual data exploration and guesswork.

评价

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Chrome 商店显示有 3 条评论, 但 ExtScope 当前只同步到了 0条评论正文。这里先展示已同步的评论,后续会继续补齐。

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