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Communicating results effectively is important in data science from "summary" of R for Data Science by Hadley Wickham,Garrett Grolemund

Effective communication of results is a crucial aspect of data science. It is not enough to simply analyze data and draw insights; these findings must be clearly and effectively conveyed to various stakeholders in order for them to be understood and acted upon. When presenting results, it is important to consider the audience and tailor the communication to their level of expertise and understanding. For example, technical details may be necessary when presenting to fellow data scientists, but may only serve to confuse non-technical stakeholders. Visualizations are a powerful tool for communicating results in a clear and intuitive manner. Charts, graphs, and ot...
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    R for Data Science

    Hadley Wickham

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