BÀI TẬP VỀ NHÀ ## TÌM DATASET CÓ DỮ LIỆU ĐỊNH TÍNH, DỮ LIỆU ĐỊNH LƯỢNG, CÓ TRÊN 5 BIẾN VÀ NHIỀU HƠN 150 QUAN SÁT
PTDLDT<-read.csv("ptdt.csv",header=TRUE,sep=";")
PTDLDT## Age Gender Education.Level Job.Title
## 1 32 Male Bachelor's Software Engineer
## 2 28 Female Master's Data Analyst
## 3 45 Male PhD Senior Manager
## 4 36 Female Bachelor's Sales Associate
## 5 52 Male Master's Director
## 6 29 Male Bachelor's Marketing Analyst
## 7 42 Female Master's Product Manager
## 8 31 Male Bachelor's Sales Manager
## 9 26 Female Bachelor's Marketing Coordinator
## 10 38 Male PhD Senior Scientist
## 11 29 Male Master's Software Developer
## 12 48 Female Bachelor's HR Manager
## 13 35 Male Bachelor's Financial Analyst
## 14 40 Female Master's Project Manager
## 15 27 Male Bachelor's Customer Service Rep
## 16 44 Male Bachelor's Operations Manager
## 17 33 Female Master's Marketing Manager
## 18 39 Male PhD Senior Engineer
## 19 25 Female Bachelor's Data Entry Clerk
## 20 51 Male Bachelor's Sales Director
## 21 34 Female Master's Business Analyst
## 22 47 Male Master's VP of Operations
## 23 30 Male Bachelor's IT Support
## 24 36 Female Bachelor's Recruiter
## 25 41 Male Master's Financial Manager
## 26 28 Female Bachelor's Social Media Specialist
## 27 37 Female Master's Software Manager
## 28 24 Male Bachelor's Junior Developer
## 29 43 Female PhD Senior Consultant
## 30 33 Male Master's Product Designer
## 31 50 Male Bachelor's CEO
## 32 31 Female Bachelor's Accountant
## 33 29 Male Master's Data Scientist
## 34 39 Female Bachelor's Marketing Specialist
## 35 46 Male PhD Senior Manager
## 36 27 Male Bachelor's Technical Writer
## 37 35 Female Bachelor's HR Generalist
## 38 42 Male Master's Project Engineer
## 39 26 Female Bachelor's Customer Success Rep
## 40 49 Male Bachelor's Sales Executive
## 41 34 Female Master's UX Designer
## 42 48 Male Master's Operations Director
## 43 30 Male Bachelor's Network Engineer
## 44 36 Female Bachelor's Administrative Assistant
## 45 41 Male Master's Strategy Consultant
## 46 28 Female Bachelor's Copywriter
## 47 32 Male Bachelor's Account Manager
## 48 45 Female Master's Director of Marketing
## 49 38 Male PhD Senior Scientist
## 50 25 Male Bachelor's Help Desk Analyst
## 51 51 Female Bachelor's Customer Service Manager
## 52 33 Male Master's Business Intelligence Analyst
## 53 40 Female Bachelor's Event Coordinator
## 54 47 Male Master's VP of Finance
## 55 29 Female Bachelor's Graphic Designer
## 56 36 Male Bachelor's Sales Manager
## 57 27 Female Master's UX Researcher
## 58 43 Male PhD Senior Engineer
## 59 30 Female Bachelor's Social Media Manager
## 60 35 Male Master's Product Manager
## 61 51 Female Master's Director of Operations
## 62 29 Male Bachelor's Marketing Analyst
## 63 40 Female Bachelor's HR Manager
## 64 47 Male PhD Senior Data Scientist
## 65 26 Male Bachelor's Junior Accountant
## 66 38 Female Master's Digital Marketing Manager
## 67 46 Male Bachelor's IT Manager
## 68 31 Female Bachelor's Customer Service Representative
## 69 34 Male Master's Business Development Manager
## 70 49 Female Master's Senior Financial Analyst
## 71 33 Male Bachelor's Web Developer
## 72 39 Female Bachelor's Recruiter
## 73 45 Male PhD Research Director
## 74 28 Male Bachelor's Technical Support Specialist
## 75 42 Female Master's Creative Director
## 76 37 Male Bachelor's Project Manager
## 77 50 Female Bachelor's Operations Manager
## 78 32 Male Master's Senior Software Engineer
## 79 48 Female Master's Human Resources Director
## 80 30 Female Bachelor's Content Marketing Manager
## 81 36 Male Bachelor's Technical Recruiter
## 82 41 Female Master's Data Analyst
## 83 25 Male Bachelor's Sales Representative
## 84 52 Male PhD Chief Technology Officer
## 85 29 Female Bachelor's Junior Designer
## 86 34 Female Master's Financial Advisor
## 87 27 Male Bachelor's Junior Account Manager
## 88 40 Female Bachelor's HR Generalist
## 89 46 Male Master's Senior Project Manager
## 90 31 Female Bachelor's Marketing Coordinator
## 91 36 Male PhD Principal Scientist
## 92 29 Female Bachelor's Sales Associate
## 93 43 Male Bachelor's Supply Chain Manager
## 94 52 Female Master's Senior Marketing Manager
## 95 33 Male Bachelor's Business Analyst
## 96 39 Female Bachelor's Training Specialist
## 97 47 Male PhD Research Scientist
## 98 26 Male Bachelor's Junior Software Developer
## 99 38 Female Master's Public Relations Manager
## 100 45 Male Bachelor's Operations Analyst
## 101 31 Female Bachelor's Event Coordinator
## 102 35 Male Master's Product Marketing Manager
## 103 49 Female Master's Senior HR Manager
## 104 33 Male Bachelor's Junior Web Developer
## 105 39 Female Master's Senior Project Coordinator
## 106 44 Male PhD Chief Data Officer
## 107 30 Female Bachelor's Digital Content Producer
## 108 36 Male Bachelor's IT Support Specialist
## 109 41 Female Master's Senior Marketing Analyst
## 110 28 Male Bachelor's Customer Success Manager
## 111 42 Female Master's Senior Graphic Designer
## 112 37 Male Bachelor's Software Project Manager
## 113 50 Female Bachelor's Supply Chain Analyst
## 114 32 Male Master's Senior Business Analyst
## 115 23 Female Bachelor's Junior Marketing Analyst
## 116 31 Male Master's Senior Financial Analyst
## 117 40 Female Bachelor's Office Manager
## 118 48 Male PhD Principal Engineer
## 119 29 Female Bachelor's Junior HR Generalist
## 120 35 Male Master's Senior Product Manager
## 121 42 Female Bachelor's Sales Manager
## 122 53 Male Master's Director of Marketing
## 123 33 Female Bachelor's Junior Operations Analyst
## 124 38 Male Bachelor's Customer Service Manager
## 125 44 Female PhD Senior Scientist
## 126 26 Male Bachelor's Junior Accountant
## 127 37 Female Master's Senior HR Generalist
## 128 45 Male Bachelor's Sales Operations Manager
## 129 32 Female Bachelor's Marketing Coordinator
## 130 34 Male Master's Senior Software Developer
## 131 50 Female Master's Director of Operations
## 132 29 Male Bachelor's Junior Web Designer
## 133 40 Female Master's Senior Training Specialist
## 134 47 Male PhD Senior Research Scientist
## 135 27 Male Bachelor's Junior Sales Representative
## 136 39 Female Bachelor's Administrative Assistant
## 137 46 Male Master's Senior Project Manager
## 138 30 Female Bachelor's Junior Marketing Manager
## 139 36 Male Bachelor's Junior Data Analyst
## 140 43 Female Master's Senior Product Marketing Manager
## 141 28 Male Bachelor's Junior Business Analyst
## 142 41 Female Master's Senior Marketing Manager
## 143 33 Male Bachelor's Junior Software Developer
## 144 47 Male Bachelor's Senior Sales Manager
## 145 25 Female Master's Junior Marketing Specialist
## 146 34 Male Bachelor's Senior Business Analyst
## 147 42 Female PhD Senior Data Scientist
## 148 31 Male Bachelor's Junior Project Manager
## 149 38 Female Bachelor's Senior Accountant
## 150 45 Male Master's Director of Sales
## 151 29 Female Bachelor's Junior Recruiter
## 152 36 Male Master's Senior Business Development Manager
## 153 43 Female PhD Senior Product Designer
## 154 26 Male Bachelor's Junior Customer Support Specialist
## 155 37 Female Master's Senior Marketing Analyst
## 156 44 Male Bachelor's Senior IT Support Specialist
## 157 32 Female Bachelor's Junior Financial Analyst
## 158 33 Male Master's Senior Operations Manager
## 159 51 Female PhD Director of Human Resources
## 160 28 Male Bachelor's Junior Software Engineer
## 161 39 Female Bachelor's Senior Sales Representative
## 162 48 Male Master's Director of Product Management
## 163 30 Female Bachelor's Junior Copywriter
## 164 35 Male Bachelor's Senior Marketing Coordinator
## 165 41 Female Master's Senior Human Resources Manager
## 166 27 Male Bachelor's Junior Business Development Associate
## 167 40 Female Bachelor's Senior Account Manager
## 168 46 Male PhD Senior Researcher
## 169 31 Female Bachelor's Junior HR Coordinator
## 170 34 Male Master's Senior Software Engineer
## 171 50 Female Master's Director of Finance
## 172 29 Male Bachelor's Junior Marketing Coordinator
## Years.of.Experience Salary
## 1 5.0 90000
## 2 3.0 65000
## 3 15.0 150000
## 4 7.0 60000
## 5 20.0 200000
## 6 2.0 55000
## 7 12.0 120000
## 8 4.0 80000
## 9 1.0 45000
## 10 10.0 110000
## 11 3.0 75000
## 12 18.0 140000
## 13 6.0 65000
## 14 14.0 130000
## 15 2.0 40000
## 16 16.0 125000
## 17 7.0 90000
## 18 12.0 115000
## 19 0.0 35000
## 20 22.0 180000
## 21 5.0 80000
## 22 19.0 190000
## 23 2.0 50000
## 24 9.0 60000
## 25 13.0 140000
## 26 3.0 45000
## 27 11.0 110000
## 28 1.0 40000
## 29 15.0 140000
## 30 6.0 90000
## 31 25.0 250000
## 32 4.0 55000
## 33 3.0 75000
## 34 10.0 65000
## 35 20.0 170000
## 36 2.0 45000
## 37 7.0 60000
## 38 14.0 115000
## 39 1.0 40000
## 40 21.0 160000
## 41 5.0 80000
## 42 18.0 190000
## 43 3.0 60000
## 44 8.0 45000
## 45 13.0 130000
## 46 2.0 40000
## 47 5.0 75000
## 48 16.0 180000
## 49 11.0 120000
## 50 0.0 35000
## 51 22.0 130000
## 52 7.0 85000
## 53 12.0 60000
## 54 19.0 200000
## 55 3.0 50000
## 56 9.0 95000
## 57 2.0 65000
## 58 17.0 140000
## 59 4.0 55000
## 60 7.0 105000
## 61 23.0 170000
## 62 3.0 50000
## 63 12.0 80000
## 64 21.0 180000
## 65 1.0 35000
## 66 10.0 90000
## 67 19.0 120000
## 68 5.0 45000
## 69 8.0 90000
## 70 18.0 150000
## 71 6.0 65000
## 72 11.0 70000
## 73 16.0 190000
## 74 2.0 40000
## 75 14.0 120000
## 76 10.0 95000
## 77 22.0 160000
## 78 6.0 100000
## 79 20.0 180000
## 80 3.0 55000
## 81 8.0 70000
## 82 13.0 80000
## 83 0.0 30000
## 84 24.0 250000
## 85 2.0 40000
## 86 10.0 95000
## 87 2.0 45000
## 88 15.0 80000
## 89 21.0 135000
## 90 6.0 55000
## 91 11.0 120000
## 92 3.0 40000
## 93 18.0 105000
## 94 25.0 170000
## 95 7.0 75000
## 96 12.0 65000
## 97 22.0 160000
## 98 1.0 35000
## 99 10.0 90000
## 100 20.0 110000
## 101 5.0 45000
## 102 8.0 95000
## 103 19.0 150000
## 104 5.0 50000
## 105 13.0 80000
## 106 16.0 220000
## 107 3.0 50000
## 108 7.0 60000
## 109 14.0 100000
## 110 2.0 40000
## 111 15.0 110000
## 112 9.0 95000
## 113 22.0 130000
## 114 6.0 90000
## 115 0.5 35000
## 116 6.0 95000
## 117 15.0 65000
## 118 20.0 170000
## 119 3.0 45000
## 120 10.0 120000
## 121 17.0 100000
## 122 25.0 180000
## 123 5.0 50000
## 124 11.0 80000
## 125 16.0 140000
## 126 2.0 40000
## 127 9.0 95000
## 128 18.0 110000
## 129 4.0 50000
## 130 8.0 105000
## 131 21.0 160000
## 132 3.0 45000
## 133 12.0 100000
## 134 22.0 160000
## 135 1.0 35000
## 136 10.0 55000
## 137 19.0 140000
## 138 4.0 50000
## 139 7.0 60000
## 140 14.0 120000
## 141 2.0 40000
## 142 13.0 110000
## 143 5.0 50000
## 144 20.0 135000
## 145 1.5 40000
## 146 8.0 90000
## 147 16.0 150000
## 148 4.0 60000
## 149 10.0 80000
## 150 19.0 175000
## 151 3.0 45000
## 152 11.0 120000
## 153 18.0 140000
## 154 2.0 35000
## 155 9.0 95000
## 156 14.0 110000
## 157 5.0 50000
## 158 7.0 115000
## 159 23.0 185000
## 160 2.0 40000
## 161 12.0 90000
## 162 21.0 175000
## 163 3.0 45000
## 164 7.0 80000
## 165 13.0 120000
## 166 1.5 35000
## 167 14.0 110000
## 168 18.0 150000
## 169 4.0 50000
## 170 9.0 105000
## 171 20.0 180000
## 172 2.0 40000Tuần 2: Chọn một biến định tính, một biến định lượng làm biến phụ thuộc để phân tích, giải thích lý do
Gender: Giới tính
JOB TITTLE: Ngành
EDUCATION LEVEL: Học vấn
AGE: Tuổi tác
YEARS OF EXPERIENCE: Kinh nghiệm làm việc
SALARY: Mức lương
Job Title có thể được hiểu là chức danh mà doanh nghiệp đang có nhu cầu tuyển dụng. Job Title thường được miêu tả một cách ngắn gọn, đúc kết được thông điệp từ phía nhà tuyển dụng. Tùy theo tính chất và yêu cầu công việc mà nhà tuyển dụng sẽ đặt Job Title sao cho phù hợp nhất.
Một Job Title hay ho, hấp dẫn sẽ giúp tin tuyển dụng của doanh nghiệp ghi điểm trong mắt ứng viên, làm cho họ thích thú mà chia sẻ nhiều hơn trên các kênh mạng xã hội, từ đó giúp tin việc làm lan tỏa rộng rãi vừa tiếp cận nhiều ứng viên vừa đưa tên tuổi doanh nghiệp đi xa.
Biến định tính JOB TITTLE phụ thuộc vào biến định tính EDUCATION LEVEL
Giải thích: biến EDUCATION LEVEL thể hiện trình độ học vấn của một người. Trìn độ cử nhân, thạc sĩ, tiến sĩ ảnh hưởng đến vị trí trong ngành nghề rất nhiều. Trình độ học vấn càng cao vị trí trong công việc cũng sẽ cao theo. Vì vậy biến JOB TITTLE phụ thuộc vào biến EDUCATION LEVEL
Tiền lương là sự trả công hoặc thu nhập, bất kể tên gọi hay cách tính mà có thể biểu hiện bằng tiền mặt và được ấn định bằng thỏa thuận giữa người sử dụng lao động và người lao động hoặc bằng pháp luật quốc gia, do người sử dụng lao động phải trả cho người lao động theo một hợp đồng thuê mướn lao động, bằng viết hoặc bằng lời nói cho một công việc đã thực hiện hoặc sẽ phải thực hiện, hoặc cho những dịch vụ đã làm hay sẽ phải làm.
Biến định lượng SALARY phụ thuộc vào biến YEARS OF EXPERIENCE.
Giải thích: Kinh nghiệm làm việc là những kiến thức, kỹ năng, tố chất mà mỗi người lao động đã tích lũy được thông qua quá trình tiếp xúc và trực tiếp triển khai công việc. Mỗi ngành nghề sở hữu tính chất đặc thù riêng, vì vậy, kinh nghiệm cũng sẽ có những khác biệt nhất định. Kinh nghiệm làm việc cho thấy những nội dung kiến thức, kỹ năng, cũng như những tính chất sự vụ mà ứng viên đã từng trải nghiệm, trực tiếp xử lý trong suốt thời gian tham gia vào quá trình làm việc. Vì vậy với kinh nghiệm càng nhiều thì sẽ được ứng tuyển vị trí cao hơn và người làm lâu năm nhiều kinh nghiệm sẽ được mức lương hậu hĩnh hơn người chưa có kinh nghiệm. Cho nên có thể nói biến SALARY phụ thuộc vào biến YEARS OF EXPERIENCE.
Đề: Làm thống kê mô tả để phân tích cho ít nhất 5 biến (vừa định tính định lượng và có 2 biến đã chọn ởcâu 2), nhận xét về kết quả phân tích này.
Bảng tần suất của biến JOB TITTLE
table(PTDLDT$Job.Title)##
## Account Manager Accountant
## 1 1
## Administrative Assistant Business Analyst
## 2 2
## Business Development Manager Business Intelligence Analyst
## 1 1
## CEO Chief Data Officer
## 1 1
## Chief Technology Officer Content Marketing Manager
## 1 1
## Copywriter Creative Director
## 1 1
## Customer Service Manager Customer Service Rep
## 2 1
## Customer Service Representative Customer Success Manager
## 1 1
## Customer Success Rep Data Analyst
## 1 2
## Data Entry Clerk Data Scientist
## 1 1
## Digital Content Producer Digital Marketing Manager
## 1 1
## Director Director of Finance
## 1 1
## Director of Human Resources Director of Marketing
## 1 2
## Director of Operations Director of Product Management
## 2 1
## Director of Sales Event Coordinator
## 1 2
## Financial Advisor Financial Analyst
## 1 1
## Financial Manager Graphic Designer
## 1 1
## Help Desk Analyst HR Generalist
## 1 2
## HR Manager Human Resources Director
## 2 1
## IT Manager IT Support
## 1 1
## IT Support Specialist Junior Account Manager
## 1 1
## Junior Accountant Junior Business Analyst
## 2 1
## Junior Business Development Associate Junior Copywriter
## 1 1
## Junior Customer Support Specialist Junior Data Analyst
## 1 1
## Junior Designer Junior Developer
## 1 1
## Junior Financial Analyst Junior HR Coordinator
## 1 1
## Junior HR Generalist Junior Marketing Analyst
## 1 1
## Junior Marketing Coordinator Junior Marketing Manager
## 1 1
## Junior Marketing Specialist Junior Operations Analyst
## 1 1
## Junior Project Manager Junior Recruiter
## 1 1
## Junior Sales Representative Junior Software Developer
## 1 2
## Junior Software Engineer Junior Web Designer
## 1 1
## Junior Web Developer Marketing Analyst
## 1 2
## Marketing Coordinator Marketing Manager
## 3 1
## Marketing Specialist Network Engineer
## 1 1
## Office Manager Operations Analyst
## 1 1
## Operations Director Operations Manager
## 1 2
## Principal Engineer Principal Scientist
## 1 1
## Product Designer Product Manager
## 1 2
## Product Marketing Manager Project Engineer
## 1 1
## Project Manager Public Relations Manager
## 2 1
## Recruiter Research Director
## 2 1
## Research Scientist Sales Associate
## 1 2
## Sales Director Sales Executive
## 1 1
## Sales Manager Sales Operations Manager
## 3 1
## Sales Representative Senior Account Manager
## 1 1
## Senior Accountant Senior Business Analyst
## 1 2
## Senior Business Development Manager Senior Consultant
## 1 1
## Senior Data Scientist Senior Engineer
## 2 2
## Senior Financial Analyst Senior Graphic Designer
## 2 1
## Senior HR Generalist Senior HR Manager
## 1 1
## Senior Human Resources Manager Senior IT Support Specialist
## 1 1
## Senior Manager Senior Marketing Analyst
## 2 2
## Senior Marketing Coordinator Senior Marketing Manager
## 1 2
## Senior Operations Manager Senior Product Designer
## 1 1
## Senior Product Manager Senior Product Marketing Manager
## 1 1
## Senior Project Coordinator Senior Project Manager
## 1 2
## Senior Research Scientist Senior Researcher
## 1 1
## Senior Sales Manager Senior Sales Representative
## 1 1
## Senior Scientist Senior Software Developer
## 3 1
## Senior Software Engineer Senior Training Specialist
## 2 1
## Social Media Manager Social Media Specialist
## 1 1
## Software Developer Software Engineer
## 1 1
## Software Manager Software Project Manager
## 1 1
## Strategy Consultant Supply Chain Analyst
## 1 1
## Supply Chain Manager Technical Recruiter
## 1 1
## Technical Support Specialist Technical Writer
## 1 1
## Training Specialist UX Designer
## 1 1
## UX Researcher VP of Finance
## 1 1
## VP of Operations Web Developer
## 1 1Bảng tần suất của biến JOB TITTLE theo tỷ lệ %
table(PTDLDT$Job.Title)/sum(table(PTDLDT$Job.Title))##
## Account Manager Accountant
## 0.005813953 0.005813953
## Administrative Assistant Business Analyst
## 0.011627907 0.011627907
## Business Development Manager Business Intelligence Analyst
## 0.005813953 0.005813953
## CEO Chief Data Officer
## 0.005813953 0.005813953
## Chief Technology Officer Content Marketing Manager
## 0.005813953 0.005813953
## Copywriter Creative Director
## 0.005813953 0.005813953
## Customer Service Manager Customer Service Rep
## 0.011627907 0.005813953
## Customer Service Representative Customer Success Manager
## 0.005813953 0.005813953
## Customer Success Rep Data Analyst
## 0.005813953 0.011627907
## Data Entry Clerk Data Scientist
## 0.005813953 0.005813953
## Digital Content Producer Digital Marketing Manager
## 0.005813953 0.005813953
## Director Director of Finance
## 0.005813953 0.005813953
## Director of Human Resources Director of Marketing
## 0.005813953 0.011627907
## Director of Operations Director of Product Management
## 0.011627907 0.005813953
## Director of Sales Event Coordinator
## 0.005813953 0.011627907
## Financial Advisor Financial Analyst
## 0.005813953 0.005813953
## Financial Manager Graphic Designer
## 0.005813953 0.005813953
## Help Desk Analyst HR Generalist
## 0.005813953 0.011627907
## HR Manager Human Resources Director
## 0.011627907 0.005813953
## IT Manager IT Support
## 0.005813953 0.005813953
## IT Support Specialist Junior Account Manager
## 0.005813953 0.005813953
## Junior Accountant Junior Business Analyst
## 0.011627907 0.005813953
## Junior Business Development Associate Junior Copywriter
## 0.005813953 0.005813953
## Junior Customer Support Specialist Junior Data Analyst
## 0.005813953 0.005813953
## Junior Designer Junior Developer
## 0.005813953 0.005813953
## Junior Financial Analyst Junior HR Coordinator
## 0.005813953 0.005813953
## Junior HR Generalist Junior Marketing Analyst
## 0.005813953 0.005813953
## Junior Marketing Coordinator Junior Marketing Manager
## 0.005813953 0.005813953
## Junior Marketing Specialist Junior Operations Analyst
## 0.005813953 0.005813953
## Junior Project Manager Junior Recruiter
## 0.005813953 0.005813953
## Junior Sales Representative Junior Software Developer
## 0.005813953 0.011627907
## Junior Software Engineer Junior Web Designer
## 0.005813953 0.005813953
## Junior Web Developer Marketing Analyst
## 0.005813953 0.011627907
## Marketing Coordinator Marketing Manager
## 0.017441860 0.005813953
## Marketing Specialist Network Engineer
## 0.005813953 0.005813953
## Office Manager Operations Analyst
## 0.005813953 0.005813953
## Operations Director Operations Manager
## 0.005813953 0.011627907
## Principal Engineer Principal Scientist
## 0.005813953 0.005813953
## Product Designer Product Manager
## 0.005813953 0.011627907
## Product Marketing Manager Project Engineer
## 0.005813953 0.005813953
## Project Manager Public Relations Manager
## 0.011627907 0.005813953
## Recruiter Research Director
## 0.011627907 0.005813953
## Research Scientist Sales Associate
## 0.005813953 0.011627907
## Sales Director Sales Executive
## 0.005813953 0.005813953
## Sales Manager Sales Operations Manager
## 0.017441860 0.005813953
## Sales Representative Senior Account Manager
## 0.005813953 0.005813953
## Senior Accountant Senior Business Analyst
## 0.005813953 0.011627907
## Senior Business Development Manager Senior Consultant
## 0.005813953 0.005813953
## Senior Data Scientist Senior Engineer
## 0.011627907 0.011627907
## Senior Financial Analyst Senior Graphic Designer
## 0.011627907 0.005813953
## Senior HR Generalist Senior HR Manager
## 0.005813953 0.005813953
## Senior Human Resources Manager Senior IT Support Specialist
## 0.005813953 0.005813953
## Senior Manager Senior Marketing Analyst
## 0.011627907 0.011627907
## Senior Marketing Coordinator Senior Marketing Manager
## 0.005813953 0.011627907
## Senior Operations Manager Senior Product Designer
## 0.005813953 0.005813953
## Senior Product Manager Senior Product Marketing Manager
## 0.005813953 0.005813953
## Senior Project Coordinator Senior Project Manager
## 0.005813953 0.011627907
## Senior Research Scientist Senior Researcher
## 0.005813953 0.005813953
## Senior Sales Manager Senior Sales Representative
## 0.005813953 0.005813953
## Senior Scientist Senior Software Developer
## 0.017441860 0.005813953
## Senior Software Engineer Senior Training Specialist
## 0.011627907 0.005813953
## Social Media Manager Social Media Specialist
## 0.005813953 0.005813953
## Software Developer Software Engineer
## 0.005813953 0.005813953
## Software Manager Software Project Manager
## 0.005813953 0.005813953
## Strategy Consultant Supply Chain Analyst
## 0.005813953 0.005813953
## Supply Chain Manager Technical Recruiter
## 0.005813953 0.005813953
## Technical Support Specialist Technical Writer
## 0.005813953 0.005813953
## Training Specialist UX Designer
## 0.005813953 0.005813953
## UX Researcher VP of Finance
## 0.005813953 0.005813953
## VP of Operations Web Developer
## 0.005813953 0.005813953Dựa vào bảng tần suất của biến Job title ta có thể thấy tỷ lệ Senior Scientist và Sales Manager, Marketing Coordinator cao nhất với 1.74% ## 3.2. Thống kê mô tả của biến EDUCATION LEVEL Bảng tần suất của biến EDUCATION LEVEL
table(PTDLDT$Education.Level)##
## Bachelor's Master's PhD
## 94 58 20Bảng tần suất của biến EDUCATION LEVEL theo tỷ lệ %
table(PTDLDT$Education.Level)/sum(table(PTDLDT$Education.Level))##
## Bachelor's Master's PhD
## 0.5465116 0.3372093 0.1162791Dựa vào bảng tần suất của biến EDUCATIN LEVEL ta có thể thấy tỷ lệ Cử nhan chiếm 54.65%, tỷ lệ Thạc Sĩ chiếm 33.7%, Tiến sĩ 11.62%
Bảng tần suất của biến GENDER
table(PTDLDT$Gender)##
## Female Male
## 80 92Bảng tần suất của biến GENDER theo tỷ lệ %
table(PTDLDT$Gender)/sum(table(PTDLDT$Gender))##
## Female Male
## 0.4651163 0.5348837Dựa vào bảng tần suất của biến Gender ta có thể thấy tỷ lệ Nam là 53.5%, Nữ là 46.5%
Bảng tần suất của biến Salary
table(PTDLDT$Salary)##
## 30000 35000 40000 45000 50000 55000 60000 65000 70000 75000 80000
## 1 8 13 11 11 6 8 7 2 4 10
## 85000 90000 95000 100000 105000 110000 115000 120000 125000 130000 135000
## 1 9 8 4 4 8 3 9 1 4 2
## 140000 150000 160000 170000 175000 180000 185000 190000 200000 220000 250000
## 7 5 5 4 2 6 1 3 2 1 2Bảng tần suất của biến Salary theo tỷ lệ %
table(PTDLDT$Salary)/sum(table(PTDLDT$Salary))##
## 30000 35000 40000 45000 50000 55000
## 0.005813953 0.046511628 0.075581395 0.063953488 0.063953488 0.034883721
## 60000 65000 70000 75000 80000 85000
## 0.046511628 0.040697674 0.011627907 0.023255814 0.058139535 0.005813953
## 90000 95000 100000 105000 110000 115000
## 0.052325581 0.046511628 0.023255814 0.023255814 0.046511628 0.017441860
## 120000 125000 130000 135000 140000 150000
## 0.052325581 0.005813953 0.023255814 0.011627907 0.040697674 0.029069767
## 160000 170000 175000 180000 185000 190000
## 0.029069767 0.023255814 0.011627907 0.034883721 0.005813953 0.017441860
## 200000 220000 250000
## 0.011627907 0.005813953 0.011627907Dựa vào bảng tần suất của biến Salary ta có thể thấy tỷ lệ Lương cao nhất là 40000 với 7.56% và thấp nhất là 18500 với 30000 là 0.58%
Bảng tần suất của biến Years of experience
table(PTDLDT$Years.of.Experience)##
## 0 0.5 1 1.5 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
## 3 1 6 2 15 14 7 10 7 10 6 6 9 6 7 6 7 5 6 2
## 18 19 20 21 22 23 24 25
## 7 6 7 5 6 2 1 3Bảng tần suất của biến Years of experience theo tỷ lệ %
table(PTDLDT$Years.of.Experience)/sum(table(PTDLDT$Years.of.Experience))##
## 0 0.5 1 1.5 2 3
## 0.017441860 0.005813953 0.034883721 0.011627907 0.087209302 0.081395349
## 4 5 6 7 8 9
## 0.040697674 0.058139535 0.040697674 0.058139535 0.034883721 0.034883721
## 10 11 12 13 14 15
## 0.052325581 0.034883721 0.040697674 0.034883721 0.040697674 0.029069767
## 16 17 18 19 20 21
## 0.034883721 0.011627907 0.040697674 0.034883721 0.040697674 0.029069767
## 22 23 24 25
## 0.034883721 0.011627907 0.005813953 0.017441860Dựa vào bảng tần suất của biến Years of experience ta có thể thấy tỷ lệ Năm kinh nghiệm làm việc cao nhất là 2 năm với 8.72% và thấp nhất là nửa năm 0.56%
table(PTDLDT$Salary, PTDLDT$Years.of.Experience)##
## 0 0.5 1 1.5 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
## 30000 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 35000 2 1 3 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 40000 0 0 2 1 9 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 45000 0 0 1 0 2 5 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 50000 0 0 0 0 1 3 3 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 55000 0 0 0 0 1 1 2 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## 60000 0 0 0 0 0 1 1 0 0 4 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
## 65000 0 0 0 0 1 1 0 0 2 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0
## 70000 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
## 75000 0 0 0 0 0 2 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 80000 0 0 0 0 0 0 1 2 0 1 0 0 1 1 1 2 0 1 0 0 0 0 0 0 0 0
## 85000 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 90000 0 0 0 0 0 0 0 1 2 1 2 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0
## 95000 0 0 0 0 0 0 0 0 1 0 1 4 2 0 0 0 0 0 0 0 0 0 0 0 0 0
## 100000 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0
## 105000 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0
## 110000 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 2 1 0 0 1 0 1 0 0 0
## 115000 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0
## 120000 0 0 0 0 0 0 0 0 0 0 0 0 1 3 1 1 2 0 0 0 0 1 0 0 0 0
## 125000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## 130000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 2 0
## 135000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0
## 140000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 2 1 0 0 0 0
## 150000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 2 1 0 0 0 0
## 160000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 0
## 170000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 1
## 175000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0
## 180000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 1 1 0
## 185000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## 190000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0
## 200000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
## 220000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## 250000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
##
## 24 25
## 30000 0 0
## 35000 0 0
## 40000 0 0
## 45000 0 0
## 50000 0 0
## 55000 0 0
## 60000 0 0
## 65000 0 0
## 70000 0 0
## 75000 0 0
## 80000 0 0
## 85000 0 0
## 90000 0 0
## 95000 0 0
## 100000 0 0
## 105000 0 0
## 110000 0 0
## 115000 0 0
## 120000 0 0
## 125000 0 0
## 130000 0 0
## 135000 0 0
## 140000 0 0
## 150000 0 0
## 160000 0 0
## 170000 0 1
## 175000 0 0
## 180000 0 1
## 185000 0 0
## 190000 0 0
## 200000 0 0
## 220000 0 0
## 250000 1 1Dựa vào số liệu vừa thu được ta có thể thấy để đạt được mức lương trên 100000 thì ta phải có trên 5 năm kinh nghiệm làm việc