Differences

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--- eolab:openhype:start [2023/06/29 08:59] – [3 Dashboard] sina001
+++ eolab:openhype:start [2024/03/15 17:21] (current) – [2.1 Data Flow] rolf.becker
@@ Line 111: / Line 111: @@
-|  {{ :eolab:openhype:data_flow.png?600 |}}  |
+|  {{ :eolab:openhype:data_flow.png?600&direct |}}  |
 |  // Image 1- Data flow//               |
@@ Line 521: / Line 521: @@
 ** Dashboard Design: **
-I have developed a web application dashboard that effectively visualizes time series data for Nitrate and Sulfate. The image below shows the main page of the our dashboard.
+I have developed a web application dashboard that effectively visualizes time series data for Nitrate and Sulfate. The image below shows the main page of our dashboard.
 |  {{:eolab:openhype:main_page.jpg?600|}}  |
-|  // Video 10- Main page of the dashboard //  |
+|  // Image 14- Main page of the dashboard //  |
+In order to run the above dashboard on your local system, you need to do the following:
+[[ https://github.com/sina7272/LANUV_Groundwater |Click here and pull the repository ]]
+direct to the "Dashboard" folder, then all the Python codes and SQL queries are available to run the application.
+There is a yml file inside the folder which name is "dashboard_environment". This yml file will create an environment with all the necessary packages which you will need to run the application. The first step needs to load this file to the Anaconda, if you are not sure how to do that please refer to the 2.3.3 Anaconda section.
+The next step is to add the credentials (Username, DB name, password and ...) of the database to the "credential_temp" file.
+And the last step is to run the "app.py" inside the new environment that you have already created with the help of "dashboard_environment.yml"