Jaccard Index
About Jaccard
What this tool does
Data analysis tools compute CSV column statistics (mean, median, mode, standard deviation), flatten nested JSON, merge multiple CSV files, sample large datasets, and run basic queries against JSON data.
Why use this tool
Analysts often receive data in formats that need quick inspection before importing into a full analytics tool. Getting summary statistics, checking for outliers, or flattening nested API responses directly in the browser saves setup time.
How it works
CSV parsing uses a streaming tokenizer that handles quoted fields, newlines within cells, and various delimiters. Statistics are computed with standard formulas. JSON flattening recursively concatenates nested keys with a configurable separator.
Pro tip
Before running any analysis, check for null values and duplicate rows. The "CSV stats" view shows missing-value counts per column, which is the fastest way to spot data quality issues.
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