Week 7: correlations Correlations is a common exploration technique to find out what kind of statistical relationship exists between paired sets of variables. In spark, we have functions that calculates correlations across the entire dataset and returns the results to R as a dataframe object. Below is the function: ml_corr(cars)
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The text is Mastering Spark with R. Using the sc connection that you have built earlier and making sure that you are still using Java 8, install the corr library and execute the following lines of code: >ml_corr(cars) >correlate(cars, use = "", method = "pearson" >correlate(cars, use = "", method = "pearson" %>% shave() %>% rplot() Submit a Word doc with screenshots of the results of running the code. Explain what the chart is showing. Explain each element of each line of code?
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Big Data Tools & Architecture
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Big Data Tools & Architecture
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