docs: align template description

README.md

@@ -84,7 +84,7 @@
 | [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. Query results can be saved in CSV, JSON, JSONL, Parquet, Apache Arrow IPC and Apache Avro formats. |
 | [stats](/src/cmd/stats.rs#L2)<br>📇🤯🏎️👆🪄 | Compute [summary statistics](https://en.wikipedia.org/wiki/Summary_statistics) (sum, min/max/range, sort order, min/max/sum/avg length, mean, standard error of the mean (SEM), stddev, variance, Coefficient of Variation (CV), nullcount, max precision, sparsity, quartiles, Interquartile Range (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 ([more info](https://github.com/jqnatividad/qsv/wiki/Supplemental#stats-command-output-explanation)).<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 a CSV, use the `lens` command. |
-| [template](/src/cmd/template.rs#L2)<br> | Create formatted output from CSV data using the [MiniJinja](https://docs.rs/minijinja/latest/minijinja/) template engine . |
+| [template](/src/cmd/template.rs#L2)<br> | Renders a template using CSV data with the [MiniJinja](https://docs.rs/minijinja/latest/minijinja/) template engine. |
 | [to](/src/cmd/to.rs#L2)<br>✨🚀🗄️ | Convert CSV files to [PostgreSQL](https://www.postgresql.org), [SQLite](https://www.sqlite.org/index.html), XLSX 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. |
 | [transpose](/src/cmd/transpose.rs#L2)<br>🤯 | Transpose rows/columns of a CSV.  |