Answer / Ruby Rupam

R Statistics refers to the statistical methods and packages available in the R programming language. It includes a wide variety of tools for data analysis, visualization, modeling, and machine learning. Some popular packages include dplyr for data manipulation, ggplot2 for data visualization, caret for machine learning, and lme4 for linear mixed models.

How are confidence intervals constructed and how will you interpret them?

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Explain the difference between data modeling and database design?

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How will you drop variables using indices in a data frame?

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How to understand the problems faced during data analysis?

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Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?

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What are the various types of selection bias?

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During analysis, how do you treat missing values?

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What is jupyter ?

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Define a/b testing?

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How can you deal with different types of seasonality in time series modelling?

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Do you prefer python or r for text analytics?

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You are creating a report for user content uploads every month and observe a sudden increase in the number of upload for the month of November. The increase in uploads is particularly in image uploads. What do you think will be the cause for this and how will you test this sudden spike?

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