Introduction to Data Visualisation

SUMMARY

Data visualization is an essential tool for interpreting complex data, revealing trends, patterns, and insights, particularly in fields like IoT monitoring, business intelligence, healthcare, and industrial systems.

Visualization techniques such as line graphs, bar charts, heatmaps, scatter plots, and pie charts serve specific purposes, from representing time-series data to illustrating proportions and correlations.

Dashboards combine multiple visualization types, offering real-time monitoring capabilities, which is crucial in IoT systems. Key elements of an efficient dashboard include clarity, intuitive organization, interactivity, and a focus on key performance indicators (KPIs).

Advanced dashboard design techniques incorporate interactive visualizations, animations, and responsiveness across devices. Grafana, an open-source platform for real-time data visualization, integrates with various data sources to create customized dashboards, offering interactive and dynamic views of complex data.

About The Author

Beia Consult International is a R&D performing SME, founded in 1991, and it is one of the leading providers of telecommunications equipment and solutions in Romania for enterprise cloud communications and telemetry. BEIA has gained experience in providing trainings for different verticals, such as: green and digital transformation, blue economy, resource efficiency in manufacturing, etc. by participating in different projects aiming to provide education and training to the users.

Ioana Petre is a telecommunications engineer having experience in R&D&I projects for more than 7 years.