In ease of learning, Python and SAS are better. Considering data handling ability, SAS, Python, and R programming can handle huge and complex data effectively. Considering data visualization, R programming is better compared. Comparing cost-effectiveness, Python and R are open-source and SAS is proprietary software and highly expensive. Comparing Market demand, SAS was the global leader and still used by large corporations. Now, many companies are shifting towards Python and R and can be integrated with Spark and Hadoop for big data analytics.
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