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Data Analysis with Docker

Data Analysis is not all about reports or visualization. The correctness and reproducibility are also important for scientific research. A consistent environment is critical for reproducibility. There are several ways to achieve that. However, I find out using Docker at any time can repeat the experiment in the same environment. It is easy to scale up and scale horizontally.