dvcrn CSV Analyzer
Analyze CSV/TSV files: statistics, data profiling, and visualizations.
Instructions
Read and detect: Identify delimiter (comma, tab, pipe), encoding, row count
Preview: Show first 5 rows as a formatted table
Profile each column:
Numeric columns: count, mean, median, min, max, std dev, null count String columns: count, unique values, top 5 most frequent, avg length Date columns: min date, max date, range
Summary report:
📊 CSV Analysis — data.csv Rows: 10,432 | Columns: 8 | Size: 2.1 MB | Column | Type | Non-null | Unique | Summary | |-----------|---------|----------|--------|--------------------| | name | string | 10,432 | 8,721 | top: "John" (42) | | age | numeric | 10,210 | 82 | mean=34.2, σ=12.1 | | signup | date | 10,432 | 1,203 | 2020-01 to 2025-01 |Visualizations (ASCII):
# Histogram awk -F',' 'NR>1{print int($3/10)*10}' data.csv | sort -n | uniq -c | awk '{printf "%3d-%3d: %s (%d)\n", $2, $2+9, substr("████████████████████",1,$1/5), $1}' # Top values bar chart awk -F',' 'NR>1{print $2}' data.csv | sort | uniq -c | sort -rn | head -10
Edge Cases
- Large files (>100MB): Sample first 10,000 rows; report that sampling was used
- Quoted fields: Handle
"field, with comma"correctly — use proper CSV parsing - Mixed types: If a column has mixed numeric/string, classify as string
- Empty file: Report immediately; don't error out
- Encoding issues: Try UTF-8 first, fall back to Latin-1; report if issues detected
Requirements
- Standard Unix tools:
awk,sort,uniq,wc,head - No API keys or external dependencies