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In R generate 1000 data points normally distributed, with mean=x, and variance=y. Perform summary stat on the data points, explain stat metrics. Create density plot. Do the same in python script, in codility.com editor

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General
Coding

Focus on demonstrating proficiency in both R and Python, particularly in statistical functions, data visualization, and explaining the meaning behind summary statistics.

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Hard Difficulty

Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.

Coding question

Coding questions assess your programming abilities and thought process. Showcase your problem-solving approach, coding style, knowledge of data structures, and ability to write clean, efficient, and maintainable code.

Leaderboard for Normal Distribution Data Generation in R and Python?”