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Even a decade ago, explaining data science to employers was challenging.
Results show that country diversity is the most dominant metric explaining data variance and has a negative effect on team politeness (it has a tendency to lower politeness).
Gender diversity is the most dominant metric explaining data variance and has a positive effect on team sentiment (it has a tendency to increase sentiment).
Our model showed that country diversity was the most dominant metric explaining data variance and had a negative effect on team politeness (tended to lower politeness).
Detailed methodology explaining data collection and analyses for all of the presented data (particularly Figures S1 and S3) is presented in Additional file 1.
Our model showed that gender diversity was the most dominant metric explaining data variance and had a positive effect on team sentiment (it had a tendency to increase politeness).
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Today, he explains, data is used as a blunt instrument.
As Palihapitiya explains, "Data can help solve the growing imbalance in the world.
Correction: clarified API usage to explain data is not imported, but info is available. .
Since more complex models generally explain data better we use a likelihood ratio to compare competing behaviour models.
RAdj2 and the RPred2 are measurements of the amount of variation around the mean and new explained data respectively.
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