Data visualization is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data.

Data visualization is both an art and a science. It is viewed as a branch of descriptive statistics by some, but also as a grounded theory development tool by others. Increased amounts of data created by Internet activity and an expanding number of sensors in the environment are referred to as "big data" or Internet of things. Processing, analyzing and communicating this data present ethical and analytical challenges for data visualization.The field of data science and practitioners called data scientists help address this challenge.

References for Data  Visualization for 3D Charts

https://www.amcharts.com

https://plot.ly/javascript/

Video  Reference Link

https://www.youtube.com/watch?v=2-tnkzG0sKU  (Plotly js)

https://www.youtube.com/watch?v=P_nYLuVnCfc (Amcharts)

https://www.youtube.com/watch?v=PAm8CA-iW_c (Amcharts with Angular)

Dynamic Data Representation

https://github.com/ParikshitGonte/Project-Management/blob/master/todoapp/templates/todo/reports.html  (Amcharts)