Starbucks in the World

We start the analysis of Starbucks Locations Worldwide dataset with a detailed exploratory data analysis (EDA) in the notebook Starbucks Location Worldwide - Data Exploration. The tools used in this dataset are imported from data_quality_stats and from plot_style_utils utility scripts. Before starting our analysis, it is important to explain that the dataset used for this analysis is from Kaggle and was collected 6 years ago. Meantime, Starbucks business expanded very much and therefore the number of shops, the geographical distribution of the shops, all this information is not up to date.

Preliminary data analysis

The dataset has 25,600 rows, with only 1 latitude and longitude values missing, 2 Street Addresses, 15 Cities. The fields that have the most missing data are Postcode (5.9%) and Phone Number (26.8%). In Figure 3.16 we can see few a sample of the data.

Figure 4.16. First rows of Starbucks dataset

Looking to the most frequent values report, we can learn...