datacheck
CommunityEnsure data quality and integrity before analysis or visualization.
Authorletitbk
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps data analysts and managers verify and validate data files, detecting common issues that could compromise analysis results.
Core Features & Use Cases
- Raw file inspection: Checks encoding, line endings, and delimiters to identify common raw data issues.
- Data loading & summary: Loads data into pandas and provides descriptive statistics, missing values, and data types.
- Data quality assessment: Detects placeholder, erroneous, or inconsistent values, and suggests fixes to improve data reliability.
- Data profiling: Summarizes distributions, correlations, and detects anomalies or structural issues.
- Excel-specific diagnostics: Checks sheet info, merged cells, header positions, and formulas for Excel files.
- Reporting: Outputs concise summaries of data health, issues found, and potential remediation steps for robust analysis.
Quick Start
Use the datacheck skill to quickly identify data issues in your CSV, Excel, or JSON file, allowing you to clean and prepare your dataset effectively.
Dependency Matrix
Required Modules
pandasopenpyxl
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: datacheck Download link: https://github.com/letitbk/cursor-setup/archive/main.zip#datacheck Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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