Census and Statistics Department
CHIN, Yan Yi, BSc in Statistics
In this internship programme, I was assigned to the General Household Survey Section (2) of the Labour Statistics Branch (5). Apart from collecting data on the labour force, employment, unemployment and underemployment, this section collected information on the demographic and socioeconomic characteristics of the Hong Kong population.
My duty was to prepare the necessary Canadian Census Editing and Imputation System (CANCEIS) input components in Excel format for reading the General Household Survey (GHS) datasets. The input components included a data dictionary, imputation parameters, system parameters and decision logic tables (DLT) for the GHS validation rules. For the DLT, I learned how to use a deterministic engine (set conditions and actions) and donor imputation (set rejection rules) to validate the data. By setting the weights and distances of the imputable variables, I understood more about the logic and theory of how the CANCEIS validates data.
With assistance from my supervisor Ronald and my internship buddy Harry, I repaired the errors effectively and improved the input components while reading the datasets into CANCEIS. I realised the importance of effective discussions for solving problems, as it greatly enhanced our working efficiency and results. Ronald shared his personal experience and point of view when advising me on my future career planning. The other colleagues were also willing to help and talk to me. I am proud and happy to have been part of the team and to have worked with them.
Overall, this summer internship programme was meaningful and delightful. I would like to express my gratitude to my supportive supervisor and colleagues. The soft skills and statistical knowledge I learned this summer will definitely help me prepare for my future career.