report

# 1. Introduction
- In this project, I choose **King county, Washington, USA** to be my geographical area of investigation. King county is most populous and important county of Washington state with the estimated population of more than two million people. As of 2018, the median household income of King county was **$95009**, which is approximately ***45%*** higher than national average; and is one of the most educated regions in the US with **53.2%** of its residents age 25 or holder holding a bachelor's or higher in 2018 (https://www.kingcounty.gov/, 2018), which makes king county is of the best place to live in the US. </br>
- More specifically, as a long-time Washingtonian, I will focus on only some citites that I personally think that they are major cities of the county (namely Seattle, Bellevue, Renton, etc.) with top companies having their headquarters (Amazon, Starbucks, Microsoft, Boeing, etc.)
- The main **question** to answer in this project is that: if a family of four with a upper-middle class income wants to move to this area, which city (neighborhood) would be best to live in terms of **property value, safety, community**, etc.
- We will use data science tools to explore, analyze, and visualize the data obtained from variety of sources to decide which neighborhood is the best for the stakeholders.