Data Analytics for Container Terminal Operations. Use linear regression analysis and k-means clustering analysis (by python) to run delay in vessel turnaround time (VTT) v.s. delay in rail dataset delay in vessel turnaround time (VTT) v.s. vessel attributes (vessel size, Dwt, GT)
See their relationship and clustering situation (need to add the diagram for the process for every attribute) to help port operation in the future. Some of the results of their relationship are not good, but it is still acceptable. Write chapter 4. Analysis (combining discussion). Dataset ‘Delay in VTT’ and ‘vessel attributes (vessel size, Dwt, GT)’ are organized in the file ‘London_Gateway_Vessel Turnaround Time’ (it is sure)
The organized way in ‘Delay in rail’ refers to The file ‘London_Gateway_vessel_rail_schedules_organize_by_myself’, but I think it is something wrong, so I put the raw data for planned and actual rail, please help organize again(there is some duplicate data). If there is any unclear, you can see the content or methodology of the dissertation or ask me.
The quotes should be complete sentences (no more, less) and should be incorporate-d in your essay to illustrate your ideas. Please, cite your sources in a clickable reference list at the end. Also, do not copy without providing proper attribution (quotation marks and in-line citations). Also, write an essay format, not in bullet form, numbering, or another list format. It would be best if you use your own words. Lastly, proofread your work and run it through Grammarly for thorough confirmation.