# Zipf's Law Analysis
Analyze rank-frequency distributions (word frequencies, city populations, etc.).
```console
$ lawkit zipf tests/fixtures/zipf_data.txt
Zipf Law Analysis Results
Dataset: tests/fixtures/zipf_data.txt
Numbers analyzed: 100
[LOW] Dataset analysis
Rank-Frequency Distribution:
# 1: █████████████████████████████████████████████████┃ 11.50%
# 2: █████████████████████████┃░░░░░░░░░░░░░░░░░░░░░░░ 5.75%
# 3: █████████████████┃░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 3.83%
...
Zipf Exponent: 1.02 (ideal: 1.0), Correlation: 0.998
```
## Verbose Output
```console
$ lawkit zipf tests/fixtures/zipf_data.txt -v
...
Top 10 by rank:
#1: 1150 (11.50%)
#2: 575 (5.75%)
...
```