diff --git a/visidata/aggregators.py b/visidata/aggregators.py
index 88b77c4ab..750c87336 100644
--- a/visidata/aggregators.py
+++ b/visidata/aggregators.py
@@ -273,7 +273,7 @@ def _fmt_aggr_summary(match, row, trigger_key):
             vd.warning(f'aggregator does not exist: {aggr}')
     return aggrs
 
-Sheet.addCommand('+', 'aggregate-col', 'addAggregators([cursorCol], chooseAggregators())', 'Add aggregator to current column')
+Sheet.addCommand('+', 'aggregate-col', 'addAggregators([cursorCol], chooseAggregators())', 'add aggregator to current column')
 Sheet.addCommand('z+', 'memo-aggregate', 'cursorCol.memo_aggregate(chooseAggregators(), selectedRows or rows)', 'memo result of aggregator over values in selected rows for current column')
 ColumnsSheet.addCommand('g+', 'aggregate-cols', 'addAggregators(selectedRows or source[0].nonKeyVisibleCols, chooseAggregators())', 'add aggregators to selected source columns')
 
diff --git a/visidata/guides/FrequencyTable.md b/visidata/guides/FrequencyTable.md
index c634a7a62..b82c7e4a0 100644
--- a/visidata/guides/FrequencyTable.md
+++ b/visidata/guides/FrequencyTable.md
@@ -1,102 +1,39 @@
 # Frequency Tables are how you GROUP BY
 
-- Group data into bins using one or more columns.
-- Count the number of items in each group.
-- Also perform custom aggregations for each group.
+Frequency Tables group rows into bins by column value, and includes summary columns for source columns with aggregators.
 
-- Similar to SQL:
-
-   SELECT column_name, COUNT(*) 
-   FROM sheet_name 
-   GROUP BY column_name 
-   ORDER BY COUNT(*) DESC
-
-## Group by a single column
-
-1. Navigate to the target column
 - {help.commands.freq_col}
 
-## Group by multiple columns
-
-1. Set one or more columns as key columns:
-- use {help.commands.key_col}
-
-2. group by the key columns to create a frequency table:
 - {help.commands.freq_keys}
 
+- {help.commands.freq_summary} 
+
 ## Aggregators
 
-Add aggregators to one or or more columns BEFORE creating a frequency table. 
-- Aggregators include min, max, sum, distinct count, and list.
-- Set an appropriate column type for the aggregator target, for example float:  [:key]%[/]
+A **Frequency Table** contains a summary columns for each aggregator added to a source column.
+These aggregators need to be added before creating the Frequency Table.
+Examples of aggregators include min, max, sum, distinct, count, and list.
 
-1. Navigate to a column.
-2. Add an aggregator (like min, max, sum, list, and distinct count).
 - {help.commands.aggregate-col}
 
-3. Add more aggregators to the same or different columns.
-4. Generate the Frequency Table. [:keys]Shift+F[/] or [:keys]gShift+F[/]
+Note: set an appropriate type for the aggregator target column, for example {help.commands.type_float}.
 
-## Explore the frequency data
+## Explore the data
 
 Dive into a group to see the underlying row(s) using the **Frequency Table**:
 
-1. Navigate to the target row.
 - {help.commands.open_row}
-
-Dive into multiple groups:
-
-- Select multiple rows, for example with [:keys]t[/] (stoggle-row)
 - {help.commands.dive_selected}
 
-Return to the frequency table:
-- {help.commands.jump_prev}
-
-Select the first row of each group: 
-
-See the selections in the source sheet. For example, select a sample from each each group:
-
-- (`select-first`) - select first source row in each bin
-- {help.commands.jump_prev}
-
-## Find Unique Values
-
-The bins of a frequeny table are the unique items.
-- The total unique count appears in the bottom right of the window, for example "14 bins".
-
-Copy the unique item list to a new sheet:
-
-1. Generate a frequency table (one or more columns).
-2. Hide unwanted columns. [:keys]-[/] or [:keys]Shift+C[/]
-3. Copy unique values to a new sheet
-- {help.commands.freeze-sheet}
-
-## Count only selected rows
-
-Create an ad-hoc frequeny table that compares the selected rows in the current columns to all rows:
-
-- add aggregators if needed [:keys]+[/]
-- {help.commands.freq_summary} 
-
-## Sort the table
-
-Navigate to the target column and sort:
-
-- {help.commands.sort_asc}
-- {help.commands.sort_desc}
+Select a group to select all of its underlying rows in the source sheet.
 
 ## Using Split Panes with Frequency Tables
 
-Open a split [:keys]Shift+Z[/], and create a Frequency Table [:keys]Shift+F[/]. 
-- The table will automatically open in the other split.
-
-1. Open a Frequency Table
-2. open a new split, when you explore the group(s) with [:keys]Enter[/] or [:keys]gEnter[/], the detail view will open in the other pane.
+Press `Shift+Z` to open a split pane, and then `Shift+F` to create a **Frequency Table**. The **Frequency Table** will automatically open in the other pane.
 
-Also see the `SplitplanesGuide`.
+See the `SplitpanesGuide` for more.
 
-## Table Options
+#### Options
 
 - {help.options.disp_histogram}
 - {help.options.histogram_bins}
-