Data Analysis and Insights

• total number of services
• total number of service providers per services
• total number of customers per services
• major distribution of services geolocation wide (for example, in markham renovation service, snow removal service)
• numerical distribution of each services (for example 100 users paid for this service out of 100, 20 users paid for that service out of 100)
• top 10 most demanding services
• top 10 most demanding service providers
• top 5 services in each cities
• none or never used services
• highest paid services (even though charge is only $5 but it has gathered $2 billion)
• lowest paid services (even though charge is $200 but it has gathered $100K)
• expensive services (highest price per service/product)
• cheapest services (cheapest price per service/product)
• time distributions across different services