Update README

Include some screenshots

Author: broeder-j

README.md

@@ -4,12 +4,20 @@ A dashboard to display survey data in an interactive way.
 
 ## Overview
 
-A dashboard using bokeh sever, developed to display data from HMC surveys in an interactive explorer way.
+This repository contains a dashboard using Panel and Bokeh, developed to display data from 
+HMC surveys in an interactive exploratory way. It is designed such that the code for the interactive
+visualizations might be reused for other projects.
+Example of a deployed version can be found [here](https://dashboard.survey.helmholtz-metadaten.de/survey_dashboard)
+
+Some impressions:
+![dashboard_overview](https://user-images.githubusercontent.com/24694833/230306080-9ca68ff8-5b8b-4ac4-b2fa-51e2c5361c7d.png)
+![dashboard_methods](https://user-images.githubusercontent.com/24694833/230306091-637188a9-359e-4ea0-8432-4d05a1ccc68f.png)
+![Dashboard_survey_data_explorer](https://user-images.githubusercontent.com/24694833/230306099-4cf71bda-0990-4f9d-be14-9a65812e7ac4.png)
 
 ## Installation
 
 After downloading the git repository you can install the software either with pip or poetry.
-We recomment setting it up in a seperate pyhon virtual environment.
+We recommend setting it up in a separate python virtual environment.
 
 ```shell
 pip install survey_dashboard
@@ -20,26 +28,27 @@ or
 poetry install .
 ```
 
-
 ## Usage
 
 After installation you can start the app, i.e the panel server/bokeh server.
 ```shell
 panel serve --port 50006 survey_dashboard/ 
 ```
-If you have given the dashboard a specific layout like the layout specific to HMC, which is on the hmc_specific branch, you might have to 
+If you have given the dashboard a specific layout like the layout specific to HMC, which is on the hmc_specific branch, you might have to link to to a specific template.
 ```shell
 panel serve --port 50006 survey_dashboard/ --static-dirs en_files=./survey_dashboard/hmc_layout/static/en_files
 ```
 
 * Navigate to `http://localhost:50006/` in your browser.
 
 
-## Development
+## Deployment
 
 To embed the dashboard into any website, first you have to host a bokeh server with this application somewhere and then you can embed it with bokehs `sever_document` function [see](https://docs.bokeh.org/en/latest/docs/user_guide/embed.html#app-documents)
 
-Do steps under `usage` above, but for a public exposed URL.
+Do steps under `usage` above, but for a public exposed URL, or what ever is used for deployment.
+The Language verison of the dashboard can be set with the environment variable: 'L
+
 
 Add the code from 'script' to you website: