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Cho cột dep_delay (khởi hành trễ).\n2. Cho cột arr_delay (đến nơi trễ).\n3. Cho cột distance (khoảng cách chuyến bay).\n4. Sử dụng linear regression xây dựng mô hình dự đoán thời gian đến nơi trễ (arr_delay) dựa vào thời gian xuất phát trễ (dep_delay) và khoảng cách (distance).\n## Nâng Cao\nTiếp tục với dữ liệu 'nycflights.csv':\n1. Thực hiện phân tích mô tả cho 3 cột ở trên nhưng chia theo nơi xuất phát: cột origin (gồm 3 sân bay: JFK, LGA, EWR).\n2. Chia ra làm 3 mô hình cho 3 sân bay xuất phát (JFK, LGA, EWR) và nhận xét về độ chính xác so với mô hình chung.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftynab%2Fpredictive-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftynab%2Fpredictive-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftynab%2Fpredictive-analysis/lists"}