Data Visualization on Starbucks U.S. Locations
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
Gregory Weber on LinkedIn Project Documents on GitHub
Over time, why did Starbucks choose the locations they chose? What data do they focus on?
Website Scraped: www.city-data.com
MOTIVATING QUESTION FOR THIS ANALYSIS:
When did the first starbucks location open in different cities?
And what was the underlying motivation for these location choices?
First Opening Date vs. Population Size for Each Sample City
The vast majority of cities with a Starbucks opened during this time had a population under 250,000.
Cost of Living Index Data
The cost-of-living index is a theoretical price index measuring relative cost of living for each state.
The average cost-of-living index score is always set to 100.
Around the time of the "Great Recession" economic downturn, there was a short, but temporary, store opening lull.
Interestingly, initial store locations Cost of Living Index Scores generally fell around the average score of 100. However, the cost of living index of the cities for the later surge of stores ran the spectrum, with a wide range and distribution of high and low Cost of Living Indices.
To emulate Starbucks growth pattern:
- Start middle of the road.
Open locations in places where the Cost of Living is about average.
- Middle of the road for city population, too.
Save the little towns and more populous cities for later.
- Once you’ve figured out your model...
SURGE and saturate the market.