Revise description: Hopefully provide the information people need?

Author: mccalluc

README-PYPI.md

@@ -2,19 +2,18 @@
 
 [![pypi](https://img.shields.io/pypi/v/dp_wizard)](https://pypi.org/project/dp_wizard/)
 
-Building on what we've learned from [DP Creator](https://github.com/opendp/dpcreator), DP Wizard offers:
-
-- Easy installation with `pip install dp_wizard[app]`
-- Simplified single-user application design
-- Streamlined workflow that doesn't assume familiarity with differential privacy
-- Interactive visualization of privacy budget choices
-- UI development in Python with [Shiny](https://shiny.posit.co/py/)
+DP Wizard makes it easier to get started with differential privacy.
 
 You can run DP Wizard locally and upload your own CSV,
-or use the [cloud deployment](https://01966942-7eab-da99-0887-a7c483756aa8.share.connect.posit.cloud/) and only provide column names to protect your private data.
-In either case, you'll be prompted to describe the analysis you need, and then be able to download outputs including:
+or use the [cloud deployment](https://mccalluc-dp-wizard.share.connect.posit.cloud/) and only provide column names to protect your private data.
+In either case, you'll be prompted to describe your privacy budget and the analysis you need, including:
+
+- Grouping
+- DP means, medians, and histograms
 
-- A Jupyter notebook which demonstrates how to use [OpenDP](https://docs.opendp.org/).
+With that information, DP Wizard provides
+
+- A Jupyter notebook which demonstrates how to use the [OpenDP](https://docs.opendp.org/) library.
 - A plain Python script.
 - Text and CSV reports.
 
@@ -24,6 +23,8 @@ DP Wizard requires Python 3.10 or later.
 You can check your current version with `python --version`.
 The exact upgrade process will depend on your environment and operating system.
 
+Install with `pip install dp_wizard[app]` and you can start DP Wizard from the command line.
+
 ```
 usage: dp-wizard [-h] [--demo | --cloud]
 

README.md

@@ -2,19 +2,18 @@
 
 [![pypi](https://img.shields.io/pypi/v/dp_wizard)](https://pypi.org/project/dp_wizard/)
 
-Building on what we've learned from [DP Creator](https://github.com/opendp/dpcreator), DP Wizard offers:
-
-- Easy installation with `pip install dp_wizard[app]`
-- Simplified single-user application design
-- Streamlined workflow that doesn't assume familiarity with differential privacy
-- Interactive visualization of privacy budget choices
-- UI development in Python with [Shiny](https://shiny.posit.co/py/)
+DP Wizard makes it easier to get started with differential privacy.
 
 You can run DP Wizard locally and upload your own CSV,
 or use the [cloud deployment](https://mccalluc-dp-wizard.share.connect.posit.cloud/) and only provide column names to protect your private data.
-In either case, you'll be prompted to describe the analysis you need, and then be able to download outputs including:
+In either case, you'll be prompted to describe your privacy budget and the analysis you need, including:
+
+- Grouping
+- DP means, medians, and histograms
 
-- A Jupyter notebook which demonstrates how to use [OpenDP](https://docs.opendp.org/).
+With that information, DP Wizard provides
+
+- A Jupyter notebook which demonstrates how to use the [OpenDP](https://docs.opendp.org/) library.
 - A plain Python script.
 - Text and CSV reports.
 
@@ -24,6 +23,8 @@ DP Wizard requires Python 3.10 or later.
 You can check your current version with `python --version`.
 The exact upgrade process will depend on your environment and operating system.
 
+Install with `pip install dp_wizard[app]` and you can start DP Wizard from the command line.
+
 ```
 usage: dp-wizard [-h] [--demo | --cloud]