rustsight 1.1.2

A fast, safe CLI tool for dataset analysis and validation. Analyzes CSV files for column types, missing values, basic statistics (min/max/mean), outliers, no-variance columns, and mixed-type columns — helping you catch data quality issues before ML/AI training. Also supports binary and text file introspection.
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# Changelog


All notable changes to this project are documented here.

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## [v1.1.2] – CLI Polish & Developer Experience


### Added

- `help` command — displays full usage guide with commands, descriptions, and examples
- `version` command — prints current version from `Cargo.toml` at compile time
- Auto-help when running `rustsight` with no arguments

### Improved

- Unknown command error now echoes the invalid command back to the user
- All error messages now point to `rustsight help` instead of hardcoded command lists

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## [v1.1.1] - Minor Changes before publishing


### Fixed

- Fixed minor changes before publishing.

## [v1.0.0] – Data Validation Release


### Added

- `validate` CLI command for dataset sanity checks
- Detection of:
  - High missing value ratios
  - No-variance numeric columns
  - Potential outliers
  - Mixed-type columns
- Clear warning-based validation output
- Release-ready `.exe` usage documentation

### Improved

- CSV analysis reporting
- Internal statistics aggregation
- CLI usability and messaging

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## [v0.1.0] – Initial Release


### Added

- CSV dataset analyzer
- Column profiling (numeric vs categorical)
- Missing value detection
- Statistics (min, max, mean)
- File analyzer for text and binary files
- Report generation (`_report.txt`)
- Streaming support for large files