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The advent of data science has opened doors to making discoveries from data in new and innovative ways. By combining statistics, computer science, applied mathematics and data visualizations, a data scientist or analyst can turn vast amounts of complex data into meaningful insights and new knowledge.
The fundamental purpose of any data science project is to use automated methods to analyze massive amounts of data and to extract knowledge from it. This puts data visualization at the forefront of any data science project. We can divide a data science problem into three sub-problems:
