Hello, can i visualize the non-numeric data in 3D form or some other way to see the relationships, difference between the stages (T1, T2, T3,T4) and etc. ?

Thanks

Although you have categorical (non-numeric) values you can somehow convert these to numerical values. E.g. for the pathologic_m, pathologic_n, pathologic_t you could remove the M, N, T and have numbers you could use e.g. for correlation analysis or so.

It's up to you to know that these values actually encode a numerical relationship, in a way that N2 > N1 > N0...

Another approach would be to count the occurences of each entry, resulting in numbers, e.g. N0 is 15 times in T1 and 12 times in T2 with N1 8 times in T1 and 20 times in T2, then showing / comparing these numbers.

```
# generate some demo data
df = tibble(
"pathologic_t" = rep(c("T1", "T2", "T3", "T4"), each = 10),
"pathologic_m" = sample(c("M0", "M1", "M2"),40, replace = TRUE),
"pathologic_n" = sample(c("N0", "N1", "N2"),40, replace = TRUE),
"gender" = sample(c("male", "female"),40, replace = TRUE)
)
# modify
df2 = df %>%
# convert to long
pivot_longer(-pathologic_t,
names_to = "readout",
values_to = "value") %>%
# count the number of each measurement
group_by(pathologic_t, readout, value) %>%
summarise(count = n(),
.groups = "keep")
# plot
ggplot(df2, aes(x = pathologic_t,
y = count,
fill = value)) +
geom_col() +
theme_minimal() +
facet_wrap(~ readout)
```

Thank you very much!

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