docs: add max_precision to stats description

README.md

@@ -77,7 +77,7 @@
 | [sortcheck](/src/cmd/sortcheck.rs#L2)<br>📇 | Check if a CSV is sorted. With the --json options, also retrieve record count, sort breaks & duplicate count. |
 | [split](/src/cmd/split.rs#L2)<br>📇🏎️ | Split one CSV file into many CSV files. It can split by number of rows, number of chunks or file size. Uses multithreading to go faster if an index is present when splitting by rows or chunks. |
 | [sqlp](/src/cmd/sqlp.rs#L2)<br>✨🚀🐻‍❄️🗄️ | Run [Polars](https://pola.rs) SQL queries against several CSVs - converting queries to blazing-fast [LazyFrame](https://docs.pola.rs/user-guide/lazy/using/) expressions, processing larger than memory CSV files. |
-| [stats](/src/cmd/stats.rs#L2)<br>📇🤯🏎️ | Compute [summary statistics](https://en.wikipedia.org/wiki/Summary_statistics) (sum, min/max/range, min/max length, mean, stddev, variance, nullcount, sparsity, quartiles, IQR, lower/upper fences, skewness, median, mode/s, antimode/s & cardinality) & make GUARANTEED data type inferences (Null, String, Float, Integer, Date, DateTime, Boolean) for each column in a CSV.<br>Uses multithreading to go faster if an index is present (with an index, can compile "streaming" stats on NYC's 311 data (15gb, 28m rows) in less than 7.3 seconds). |
+| [stats](/src/cmd/stats.rs#L2)<br>📇🤯🏎️ | Compute [summary statistics](https://en.wikipedia.org/wiki/Summary_statistics) (sum, min/max/range, min/max length, mean, stddev, variance, nullcount, max precision, sparsity, quartiles, IQR, lower/upper fences, skewness, median, mode/s, antimode/s & cardinality) & make GUARANTEED data type inferences (Null, String, Float, Integer, Date, DateTime, Boolean) for each column in a CSV.<br>Uses multithreading to go faster if an index is present (with an index, can compile "streaming" stats on NYC's 311 data (15gb, 28m rows) in less than 7.3 seconds!). |
 | [table](/src/cmd/table.rs#L2)<br>🤯 | Show aligned output of a CSV using [elastic tabstops](https://github.com/BurntSushi/tabwriter).  To interactively view CSV files, qsv pairs well with [csvlens](https://github.com/YS-L/csvlens#csvlens). |
 | [to](/src/cmd/to.rs#L2)<br>✨🚀🗄️ | Convert CSV files to [PostgreSQL](https://www.postgresql.org), [SQLite](https://www.sqlite.org/index.html), XLSX, [Parquet](https://parquet.apache.org) and [Data Package](https://datahub.io/docs/data-packages/tabular). |
 | [tojsonl](/src/cmd/tojsonl.rs#L3)<br>📇😣🚀🔣 | Smartly converts CSV to a newline-delimited JSON ([JSONL](https://jsonlines.org/)/[NDJSON](http://ndjson.org/)). By scanning the CSV first, it "smartly" infers the appropriate JSON data type for each column. See `jsonl` command to convert JSONL to CSV. |