Drop Dataset here
Local processing — supports Parquet and CSV
Inspect dataset schema without writing code
Inspect the column types, null counts, unique values, and sample data of any Parquet, CSV, or Excel file. This tool gives data engineers a fast overview of dataset quality and structure without writing any code or spinning up a Spark cluster.
Frequently Asked Questions
- What file formats does the Schema Inspector support?
- It supports Parquet, CSV, and Excel (.xlsx and .xls) files.
- What information does it show per column?
- For each column: data type, total null count, unique value count, and up to three sample values — giving a fast overview of data structure and quality.
- Can I use this to check data quality?
- Yes. Null counts and unique value counts give a quick indication of data completeness and cardinality, which are key data quality signals.
- Is the data sent to a server for analysis?
- No. All schema inference is done client-side. Your data never leaves the browser.