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Co-authored-by: Mike Bender <[email protected]>

plugins/ui/docs/Plotting.md

@@ -1,12 +1,12 @@
 ---
-title: Plotting and dh.ui
+title: Plotting and deephaven.ui
 ---
 
-Creating dynamic plots that respond to user input is a common task in data analysis. The `dh.ui` module provides a simple interface for creating interactive plots using the `deephaven-express` library. This guide will show you how to create plots that updates based on user input.
+Creating dynamic plots that respond to user input is a common task in data analysis. The `deephaven.ui` module provides a simple interface for creating interactive plots using the `deephaven-plugin-express` library. This guide will show you how to create plots that updates based on user input.
 
 ## Plotting a filtered table
 
-This example demonstrates how to create a simple line plot that updates based on user input. The plot will display the price of a stock filtered based on the stock symbol entered by the user. Here we have used a `ui.text_field` to get the value, but it could be driven by any dh.ui input, including double clicking on a value from a `ui.table`. We've previously referred to this sort of behaviour as a "one-click" component in enterprise, as the plot updates as soon as the user enters a filter.
+This example demonstrates how to create a simple line plot that updates based on user input. The plot will display the price of a stock filtered based on the stock symbol entered by the user. Here we have used a `ui.text_field` to get the value, but it could be driven by any deephaven.ui input, including double clicking on a value from a `ui.table`. We've previously referred to this sort of behaviour as a "one-click" component in enterprise, as the plot updates as soon as the user enters a filter.
 
 ```python
 import deephaven.plot.express as dx
@@ -54,17 +54,17 @@ def plot_paritioned_table(table, inital_value):
         ui.text_field(value=text, on_change=set_text),
         # only attempt to plot valid parition keys
         dx.line(
-            constituent_table, x="timestamp", y="price", title=f"Parition key: {text}"
+            constituent_table, x="timestamp", y="price", title=f"Partition key: {text}"
         )
         if constituent_table != None
-        else ui.text("Please enter a valid parition."),
+        else ui.text("Please enter a valid partition."),
     ]
 
 
 p = plot_paritioned_table(_stocks, "DOG")
 ```
 
-## Combining a fitler and a parition by
+## Combining a filter and a partition by
 
 Deephaven express allows you to plot by a partition and assign unique colors to each key. Sometimes as a user you may also want to filter the data in addition to partitioning it. We've previously referred to this as a "one-click plot by" behaviour in enterprise. This can be done by either filtering the table first and then partitioning it, or partitioning it first and then filtering it. The choice of which to use depends on the size of the table and the number of unique values in the partition key. The first example is more like a traditional "one-click" component, and the second is more like a parameterized query. Both will give you the same result, but the first one may return results faster, whereas the second one may be more memory efficient.