What are the most common tools available for data visualization in data science?

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.

rural county vs urban county