Use Plover to find a few potential errors or anomalies in a CSV file
This application runs locally in your browser. The advantage is that no data leaves your machine. The disavantage is that is is slow.
What's missing
- To get this to run in a reasonable time on a single core in your browser we've had to turn down the quality.
- No metric values to tell you how erroneous data are.
- No explanations attribute errors
- No meta similarity to identify data with similar errors
- No error/anomaly computation on hypothetical out-of-table data
CSV data requirements
- The CSV file size cannot exceeed 1MB
- The index column (if supplied) must have unique values
- The file must have a header
- Missing values must be empty cells. No sentinel values (e.g. 99)
- This demo only support continuous and categorical data with at most 256 categories
Ready-to-use dataset
Issues?
Please send bug reports to info@redpoll.aiWant to learn more?
Get in touch
Provide your information here and we will reach out to you promptly.