There are several programming languages that you can use for big data visualization. Some of the best and widely used languages are Python, JavaScript, and R.
A Python statistics library is ideal for novices because it offers a quick and simple generation of informative and visually appealing statistical graphics. It’s beginner-friendly and convenient for processing data and importing datasets. It’s also used in extensive data analyses. Familiarity with this programming language comes in handy if you choose to get into specific Python jobs in the future.
With JavaScript, there’s quite a huge selection of libraries to choose from that will help simplify data processing. Many of them are free to use and intuitive, making it easier for you to build powerful and effective graphical displays.
Lastly, there’s the R language. Made specifically for statistical analysis, R is open-source and typically used to uncover trends and patterns from complex datasets.