Differences

This shows you the differences between two versions of the page.

--- eolab:openhype:start [2023/05/22 07:55] – [2.3.1 Downloading the data] 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 503: / Line 503: @@
 In our specific case, the objective is to develop a straightforward dashboard that showcases the map of North Rhine-Westphalia (NRW) alongside the concentration rates of Nitrate and Sulfate at different time intervals. This dashboard will provide a visual representation of the spatial distribution of these pollutants and enable users to observe any temporal variations in their concentrations within NRW.
-** 3.1 Plotly Dash: **
+** Plotly Dash: **
 ** Plotly: ** Plotly is a computing company located in Montreal, Canada. They develop online data analytics and visualization tools.
@@ Line 519: / Line 519: @@
 All the source codes of the dash gallery are available in [[ https://github.com/plotly/dash-sample-apps/|| here]]
+** 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 our dashboard.
+|  {{:eolab:openhype:main_page.jpg?600|}}  |
+|  // 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"
@@ Line 526: / Line 547: @@
 ==== Nitrate concentration 2000-2010 ====
-The below video has shown the concentration of nitrate in NRW from 2000 to 2010.
+The video below shows the concentration of nitrate in North Rhine-Westphalia (NRW) from 2000 to 2010. This visualization was created using QGIS 3.16. By watching the video, you can observe the temporal changes in nitrate levels across NRW during the specified time period.
-The video is created with QGIS 3.16
 {{ youtube>IMznT88l2VQ?medium }}
@@ Line 535: / Line 555: @@
 ==== Nitrate concentration 2010-2020 ====
-The below video has shown the concentration of nitrate in NRW from 2010 to 2020.
+The video below shows the concentration of nitrate in NRW from 2010 to 2020.
-The video is created with QGIS 3.16
+The video was created with QGIS 3.16
@@ Line 547: / Line 567: @@
 ==== Sulfat concentration 2000-2010 ====
-The below video has shown the concentration of sulfate in NRW from 2000 to 2010. The video is created with QGIS 3.16
+The video below shows the concentration of sulfate in NRW  from 2000 to 2010. The video was created with QGIS 3.16
 {{ youtube>Jz2cINIOwWs?medium }}
@@ Line 554: / Line 574: @@
 ==== Sulfat concentration 2010-2020 ====
-The below video has shown the concentration of sulfate in NRW from 2010 to 2020. The video is created with QGIS 3.16
+The video below shows the concentration of sulfate in NRW from 2010 to 2020. The video is created with QGIS 3.16
 {{ youtube>0SqfLi2lPH8?medium }}