PART 1: (minimum 200 words) (1 SOURCE) (Reference source under PART 1) What are the most common tools available for data visualization in data science? Look up at least 2 options and compare the pros and cons. PART 2: (minimum 200 words) (1 SOURCE) (Reference source under
PART 2) How should outliers in the data be handled from a visualization perspective? Should they just be removed?
PART 3: Complete the following: (150 word) (no source required) – Download PowerBI or Tableau. – Connect to the Excel dataset provided in this exercise. – Create 4 visualizations with the data. – Write a short narrative about what the data means and why you chose the visualizations/colors that you did.
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