Which of the following is a common programming language in data analytics?

Python is widely recognized as a common programming language in data analytics due to its simplicity and versatility. It offers powerful libraries and frameworks specifically designed for data analysis and manipulation, such as Pandas, NumPy, and Matplotlib. These tools allow analysts to easily conduct data cleaning, analysis, and visualization tasks.

Additionally, Python's syntax is easier to understand compared to many other programming languages, which encourages rapid development and productivity. Its extensive community support and a wealth of resources further enhance its effectiveness in the field of data analytics, making it a preferred choice among professionals.

In contrast, while languages like Java and C++ have their own applications, they are more often used in software development rather than directly for data analysis. HTML is primarily a markup language used for creating web pages and does not support data analytics tasks in the same way that Python does.