Are There C Libraries for Statistics and Data Analysis Like R?

It depends on your goal. C can certainly process data and perform statistical calculations, but its low-level style makes working with complex data structures more cumbersome. C++ may offer a more convenient balance of performance and abstraction.

C doesn’t include statistical or data-analysis tools as part of the language itself. However, there’s a huge ecosystem of libraries, and much of the functionality used by higher-level tools is ultimately implemented in C. You can find libraries for numerical computing, statistics, linear algebra, and more, but you’ll usually need to assemble the pieces yourself.

C is generally not as convenient or broad for interactive analysis as R or Python. Those languages are specifically designed around data manipulation, visualization, and statistical workflows, while C is usually chosen when low-level control or performance is the priority.

If you’re doing general-purpose data analysis, Python or R will probably be a better fit. C makes more sense when you need embedded software, highly optimized numerical code, or a native library that another language can call.