Although these are minor adjustments
Posted: Sat Feb 08, 2025 9:09 am
The variables required for the Carstairs score had different names in the dataset for each census years. For example, in the overcrowded variable, total households in 2011 was named ‘all household’ whereas, in 2001 it was given a codename ‘cs0520001’. As a result, we decided to change the names so that it was consistence throughout our calculations.
The geographical names of the variables also japan rcs data had different headings and codes. For example, what 2011 called the ‘GEO_CODE’, 2011 called the ‘Zone. Code’. For these reasons, the script was altered to adapt to these changes. they were compulsory steps which needed to be made for the R scripts to function without any difficulties.
I have learnt to use R to calculate the proportions, mean, standard deviation and Zscores for my project and perform many other functions as well.
The calculations for the project were completed and the next step was trying to match the Zscores with the published results to ensure that the variables used in calculating scores were correct and to support out research project as well. We discovered that the variables and geographical areas of the different census that we used were correct but Some research papers’ Zscores were different from ours as they did not include information on how they weighted the population count. After reading many research papers and trying to match their results with ours, we finally found one paper whose scores match our very closely.
The geographical names of the variables also japan rcs data had different headings and codes. For example, what 2011 called the ‘GEO_CODE’, 2011 called the ‘Zone. Code’. For these reasons, the script was altered to adapt to these changes. they were compulsory steps which needed to be made for the R scripts to function without any difficulties.
I have learnt to use R to calculate the proportions, mean, standard deviation and Zscores for my project and perform many other functions as well.
The calculations for the project were completed and the next step was trying to match the Zscores with the published results to ensure that the variables used in calculating scores were correct and to support out research project as well. We discovered that the variables and geographical areas of the different census that we used were correct but Some research papers’ Zscores were different from ours as they did not include information on how they weighted the population count. After reading many research papers and trying to match their results with ours, we finally found one paper whose scores match our very closely.