DS321-BIG DATA (1)
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What does the dropna() method do in a PySpark DataFrame?
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What does the Statistics.corr() function require as input in PySpark for correlation analysis?
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Which variable pair shows a strong positive correlation in the example output?
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What is the output type when converting a Spark DataFrame to a Pandas DataFrame?
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What is the first step recommended in Chapter 5 for handling missing values and correlation analysis in a PySpark DataFrame?
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Which library is used to plot scatter plots with a linear fit?
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Why is the Species column removed from the DataFrame before computing the correlation matrix?
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Which method is used to fill missing values with a constant in a PySpark DataFrame?
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Which correlation method is used to compute the correlation matrix in PySpark?
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what is used to convert the correlation matrix into a Pandas DataFrame?
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