In recent years, the rapid development of data collection, storage and analysis technology has greatly reduced the cost of data storage and processing, a big data era is gradually unfolding in front of us. Big data revolutionizes the massive data processing to become possible, and dramatically reduces the cost, making more and more people across professional disciplines into the development and application of big data. Visualization is undoubtedly the most effective way to make large data sets approachable and easy to understand. Launching research on data visualization applications in the context of big data will help us develop and innovate data visualization techniques.

I bring 3 practical big data visualization tools for newcomers, I hope it will help you:

Polymaps

Polymaps is a free JavaScript library and a joint project developed by SimpleGeo and Stamen. This sophisticated map overlay tool loads data at multiple scales and provides multiple levels of zoom, from countries to street views.

TM-Grafana

TM-Grafana is a professional big data analytics presentation platform based on the open-source Grafana, upgraded with Chinese characters and implanted with model algorithms from TM Tech in the industrial, manufacturing, and financial industries, etc. TM-Grafana supports more than 50 open-source and commercial data sources. No matter where your sources are stored, it can quickly help you query, visualize data, remind and understand your metrics. Create, explore and ****enjoy dashboards with your team and foster a data-driven culture.

Leaflet

An open source JavaScript library, Leaflet is a tool for creating mobile-friendly, interactive maps. Developed by Vladimir Agafonkin and a team of contributors, Leaflet was designed with the goals of simplicity, expressiveness, and ease of use in mind.