Water Conditions in Europe

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This app has a demo View

Water Conditions with Prediction, Dashboards and more

What's new in this version

IRIS BI textMeter widgets: added dataProperty bindings in Overview.dashboard — DSW 4.x only renders measures listed in data properties
IRIS BI UomTable: replaced removed Country.Uom property with [idwaterresultuom].[H1].[Label] row level (fixes @NOPROPERTY)
KPI pivots (MeanPollution, MeanOutsideInfluence, VenueCount): measure defined via columnLevel instead of deprecated <measure> element
Docker build: replaced deprecated PyPI package sklearn with scikit-learn in requirements.txt
Docker build: removed automatic cube build from ZPM Invokes — failed cube activation rolled back module installation and data
Flask/Dash app: replaced obsolete app.run_server() with app.run() for Dash 4.x compatibility
Container startup: replaced exit 1 with wait in server_start.sh so background processes keep running
DeepSee cube: removed duplicate Uom property from Country level in waterPollutionCube (18 833 build errors)
IRIS BI / DSW: added SetupDSWAddons() to register and compile DSW.Addons.* portlet classes for worldMap and other addons

water-conditions-Europe

This app shows data visualization.
It uses python ML to predict future values of water conditions.
It also uses few visualisation machanisms like PowerBI and Tableau by Adaptive Analytics at backend.
IRIS BI dashboard also included.

For example, Water Conditions in Europe region data was used.
The Dash framework used to build Dashboards in a Python framework created by plotly for building interactive web applications.
Dash is open source and building an application using this framework is viewed in a web browser.

Installation

Docker

The repo is dockerised so you can clone/git pull the repo into any local directory

$ git clone https://github.com/teccod/water-conditions-Europe.git

Open the terminal in this directory and run:

$ docker-compose up -d

The first time launch can take some time because of python libraries installing.

App

After installation open http://localhost:8080/

The main page will show the links to Dashboards, which display different visualisation tools.

On the left is the navigation menu.

Home - shows the title
Timeline - a map is shown, there is a player at the bottom of the map, timeline shows the dynamics of data on the world map
IRIS BI - dashboard based on IRIS BI technology
Logi Report - a PDF form of the Report generated by the Intersystems Reports powered by Logi Reports
PowerBI Report - dashoard on PowerBI engine embedded
Tableau Report - dahboard on Tableau engine published from public.tableau.com

Online demo link : http://atscale.teccod.com:8080/