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Comma Separated Values - 1.1 KB - MD5: b957643ce793e4eaf714cf5054cfed3b
Comma Separated Values - 21.4 KB - MD5: 747d4b3388f0270f362d772493a85aab
Comma Separated Values - 3.8 KB - MD5: 5d2d49ca78b6c9e359cb661e00fadc91
Comma Separated Values - 15.6 KB - MD5: e90fb1f583a038deffb68ae1b211c1af
Comma Separated Values - 3.8 KB - MD5: c4d0d6af58cd6a4abb14eb9a3e216749
Comma Separated Values - 110.3 KB - MD5: fd297b199d8933e14c893050275f4a8e
This is the .csv file containing the data.
R Notebook - 14.9 KB - MD5: 9be5b690488da28b0e43c4705e63e6fd
This is the R markdown script for the analysis of 01_data.csv.
R Syntax - 1.2 KB - MD5: 3e35576fc2360fb965465138bef5e3c5
This is the R script sourced by 02_analysis.Rmd in order to carry out descriptive statistics of categorial variables.
Adobe PDF - 19.6 KB - MD5: 778e8739c0fe2ee8e910347fe7ef5a6c
This is the text of the R script sourced by 02_analysis.Rmd in order to carry out descriptive statistics of categorial variables.
R Syntax - 382 B - MD5: e75fe015a0dd6f042ebe6704bf336726
This is the R script sourced by 02_analysis.Rmd in order to calculate the C-score of the regression model.
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