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+# W4H-Preview
+This document is for the preview of Wearables for Health (W4H) toolkit.  
+
+This Toolkit is available as a Docker image, which can be easily pulled from [Docker Hub](https://hub.docker.com/r/uscimsc/w4h). This containerized version includes all the necessary components and dependencies, making it simple to set up and use the toolkit.
+
+### Pulling the W4H Docker Image
+To get started with the W4H Toolkit, follow these steps:
+1. Get [Docker](https://docs.docker.com/engine/install/) for your OS.
+2. Install Docker engine.
+3. Open a terminal or command prompt.
+4. Verify Docker installation using:
+```bash
+docker --version
+```
+5. Pull the W4H Docker image from Docker hub by running the following command:
+```bash
+docker pull usc-imsc:w4h-toolkit-preview
+```
+
+The W4H toolkit provides the following components:
+
+**Streamlit Dashboard** : An integrated interface for GeoMTS data extraction, presentation & analysis. It facilitates the analysis of both streaming & stored data. 
+
+**Database supporting GeoMTS**: A postgres database with TimescaleDB for temporal data management, PostGIS for spatial data management & FFT postgres for aggregate queries on time series data.
+
+**Notebooks**: A collection of sample Jupyter notebooks that help analyse compliance using Pandas & Pyspark .
+
+
+## Accessing the Dashboard
+After running the docker container, the dashboard is available at http://localhost:8501/
+
+A default account is configured in the preview for the initial testing. Credentials for it are:
+```
+username: admin
+password: admin
+``` 
+
+This dashboard provides the following buttons:
++ ImportHub: The ImportHub allows to integrate offfline datasets into the W4H platform.  It aligns the data with GeoMTS schema & automatically maps attributes.
++ Input Page : It allows creation of queries for the data by selecting the required database & transforming the data using filters for visualizations.
++ Result Page: It takes you to the result of the query. It provides outlier detection, comparative analysis between different groups of subjects, health insights, etc. 
++ Query History: You can browse through the history of your visualizations using the Query History Button.
++ Getting Started: It provides a detailed tutorial on how to get started with the preview.
+
+## Accessing Jupyter Notebooks
+To access the Jupyter notebooks in the W4H Toolkit, follow these steps:
+1. Navigate to http://localhost:8888 in browser
+2. When prompted for authentication, use:
+```
+token: admin
+```
+3. Once logged in, you'll see the Jupyter notebook interface with access to the /app/notebooks/ directory, which contains the sample notebooks provided by the W4H Toolkit.
+4. You can now open existing notebooks or create new ones to work with the W4H datasets.
+
+## Accessing the Database
+The  postgres database can be accessed using tools like pgadmin or psql.
+To access the database using pgadmin use the following steps:
+1. Download & install [pgadmin](https://www.pgadmin.org/) & launch it.
+2. In the pgAdmin dashboard, click on "Add New Server" or right-click on "Servers" in the browser pane and select "Create" > "Server...".
+3. In the "Create - Server" dialog, fill in the following details:
+
+    General Tab:
+
+        Name: W4H Database (or any name you prefer)
+    Connection Tab:
+
+        Host name/address: localhost
+        Port: 5432
+        Maintenance database: postgres
+        Username: postgres
+        Password: postgres
+4. Save to establish the connection. Once connected, you should see the server appear in the browser pane.
+5. To interact with the database:
+    + Expand the sample database to view its schemas, tables, and other objects.
+    + Use the Query Tool (accessible via Tools > Query Tool) to run SQL queries.
+