Summary

In C++, you can work with statistical data types, process tabular data, and design a complete ETL pipeline strategy using various libraries and techniques. Here’s a brief overview of how you can accomplish each of these tasks in C++.

Using and processing statistical data types in C++ involves utilizing the built-in data types for numerical data, such as integers (int, long, float, and double) and characters (char). These data types allow you to perform basic statistical computations and calculations. However, you can leverage libraries such as Boost, Armadillo, or Eigen for more advanced statistical analysis. These libraries provide extensive functionality for working with statistical data types, including statistical modeling, regression analysis, hypothesis testing, and data manipulation.

To work with tabular and rectangular data in C++, you can use the container classes provided by the standard library, such as std::vector or std::array. These classes allow...