For a Chi Squared test, you need to know how many Yes and how many No responses are in each group. Here is a very simple example.
YesCounts <- c(5,8,5,8,9,3)
NoCounts <- c(15,13,14,12,11,15)
DataMat <- matrix(c(YesCounts,NoCounts),ncol = 2,nrow=6)
dimnames(DataMat) <- list(c("non","less","Severe","more","very","life"),
c("Yes","No"))
DataMat
#> Yes No
#> non 5 15
#> less 8 13
#> Severe 5 14
#> more 8 12
#> very 9 11
#> life 3 15
#Test the data
chisq.test(DataMat)
#>
#> Pearson's Chi-squared test
#>
#> data: DataMat
#> X-squared = 5.1579, df = 5, p-value = 0.3969
Created on 2022-02-04 by the reprex package (v2.0.1)
The result of the test says the six group seems to have the same Yes/No probability.
How exactly you would get the counts of Yes and No responses in your data depends on how it is structured.