Data Visualization Techniques

Sasi Kumar M

Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Alathukombai, Sathyamangalam, Erode, Tamilnadu, India

Corresponding Author:sasikumarmurugan02@gmail.com

Sasi Kumar V

Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Alathukombai, Sathyamangalam, Erode, Tamilnadu, India

Corresponding Author:sasikumarskvs@gmail.com,

Samyukthaa LK

Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Alathukombai, Sathyamangalam, Erode, Tamilnadu, India

Corresponding Author:samyusamyukthaa@gmail.com,

Vinothraja R

PDepartment of Computer Science and Engineering, Bannari Amman Institute of Technology, Alathukombai, Sathyamangalam, Erode, Tamilnadu, India

Corresponding Author:vinothrajar049@gmail.com

Abirami A

Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Alathukombai, Sathyamangalam, Erode, Tamilnadu, India

Corresponding Author:abirarmia@bitsathy.ac.in

Lakshmanaprakash S

Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Alathukombai, Sathyamangalam, Erode, Tamilnadu, India

Corresponding Author:lakshmanaprakashs@bitsathy.ac.in

Abstract :

Data visualisation is the representation of the information using standard images like charts, plots, infographics, and even animations. These data visualisations convey complicated data linkages and data-driven insights in an easy-to-understand manner. It aids in the explanation of facts and the selection of courses of action. It will assist any field of research that demands novel approaches to presenting massive amounts of complicated data. Modern visualisation has been shaped by the introduction of computer graphics. A taxonomy of visualisation approaches is also offered, based on the number of variables that may be shown. Novel trends in user interface design are examined, as well as a range of new visualisation approaches and their applicability. In the topic of software visualisation, there are several novel visualisation approaches and tools for studying the datasets. However, finding the correct technology to meet user needs for displaying huge datasets remains a challenge. It gives a quick rundown of a few of the most popular visualisation tools and examines their suitability for supporting research with big volumes of environmental data and also provides significant opportunities for technical communication researchers to expand the field’s knowledge of environmental data visualizations and their function in environmental communication. Here, we imported the dataset in data mining tool i.e., Rapid Miner and by using the dataset, we designed various types of data visualization chart.

Keywords:
  • Data Visualization
  • Environmental Communication,,
  • Geographical data,
  • User interface design,
  • User interface design,
  • Rapid Miner
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doi.org/10.36647/MLAIDA/2022.12.B1.Ch013