Sensoring and Datascience

 

Datavisualisation and Datascience

 

 

To discover useful information, draw conclusions, and support decisions, Het Waterlaboratorium uses data analysis tools, and data science for data processing.

Interactive dashboards are created by Power-BI analysis tools that provide additional insight into data. The wide range of filters makes it possible to answer very specific questions. Because X and Y coordinates are recorded in the database for each sample, maps have been created that allow a quick overview of the concentration locations. These dashboards are directly connected to the databases, which is why the data overviews are completely up to date.

An example where data analysis and data science meet is the Risk-Based Monitoring project, where different elements are connected such as databases, data extraction, data processing, data transformation, and data visualization. The programming language Python is used for this and supported with dashboards in Power-BI.

Het Waterlaboratorium is also investing in the development of big data processing software. For example, we are developing the SciTrend program to edit the process and time series, and find trends for certain components and locations, using statistical mathematical algorithms. The program is integrated into our data structure, and thus supports the analysis of the trends by our water quality advisers.

Besides, Het Waterlaboratorium strives for cooperation in setting up IT and ICT projects with drinking water companies, and supports data processing for scientific studies.

 

 

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