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.
Total ratings
4.00
(Rating count:
3)Recent reviews
Recent rating average:
4.00
All time rating average:
4.00
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| Date | Author | Rating | Lang | Comment |
|---|---|---|---|---|
| 2024-09-16 |  | | en | How to use it? Icon is disabled to me. Is there specific terms to use Data Oculus! Please resolve my issue. |
| 2024-05-10 |  | | en | As a data analyst, Data Oculus has been a game-changer for exploring public datasets. The dynamic histograms and missing value visualizations provide invaluable insights, while the comprehensive data profiling and custom rules ensure I thoroughly understand the data quality. The ability to collaborate through sharable links is also incredibly useful. Data Oculus has streamlined my EDA workflow and saved me countless hours. If you work with public data, this extension is an essential tool in your arsenal. Highly recommended! |
| 2024-03-01 |  | | en | wow, this is exactly what i need. as Kaggle dont have detailed profiling info for datasets and too many datasets has issues with quality so i have to spend lot of time analyzing. this tool is huge time saving... btw, loved the dynamic histogram and missing value charts... @dataoculus, can we install this on cloud to do similar thing for our data? would love to have this tool in our company. |