I have a table that has this structure. So as you see, the frequency of each subset is identified in each cell. It's very unclear which one is better.
COC EG EE AC LE ME SC
CE 3 22 0 0 4 3 50
AU 21 7 1 0 0 0 15
WA 4 0 10 0 12 0 21
HH 0 12 5 0 2 1 8
MH 0 2 0 2 2 0 26
HA 8 7 3 0 1 0 8
TY 0 0 0 0 0 0 1
PK 3 0 0 0 0 0 2
SR 0 1 0 0 0 0 1
FU 0 0 0 0 0 0 2
To import directly into R:
library(gsheet)
data <- read.csv(text = gsheet2text('https://docs.google.com/spreadsheets/d/1RHFifBQpuia_YXtSogjv0j9pkNLL6WMR9sRN78VGR4k/edit?usp=sharing',
format ='csv'), row.names=1)
To make this a bit more human readable, I could use heatmap style. That means higher the number, the darker the color of the cell.
Are there are any better solutions?