How to include all this data in a single graph? Please help..

[Shaggyy]

Etiology
HCV 12
HCV/Alcohol 5
HCV/ Hemochromatosis 1
Alcohol 4
HBV 1
NAFLD 1
NASH 7
Idiopathic/ Unknown 4

AGE
<60 2
61-70 25
71-80 6
Above 80 2

GENDER
Female 14
Male 21

ETHINICITY
Hispanic or Latino 4
Native American, Native Alaskan 1
Black or African American 7
Asian or Mideast Indian 2
White or Caucasian 23
Not Available 2

[JackDavison]

Assuming all of these are just counts that are independent from one another, you could consider a bar chart?

Note that my use of tribble is to format the data you have provided into data frames. It is more useful to provide a reproducible example that can easily be copy-pasted:
FAQ: What's a reproducible example (reprex) and how do I create one?

library(tidyverse)

etiology <-
  tribble(
    ~cat, ~n,
    "HCV", 12,
    "HCV/Alcohol", 5,
    "HCV/ Hemochromatosis", 1,
    "Alcohol", 4,
    "HBV", 1,
    "NAFLD", 1,
    "NASH", 7,
    "Idiopathic/ Unknown", 4
  ) %>%
  mutate(cat = fct_reorder(cat, n))

age <-
  tribble(
    ~cat, ~n,
    "<60" ,2,
    "61-70" ,25,
    "71-80" ,6,
    "Above 80" ,2
  ) %>%
  mutate(cat = factor(cat))

gender <-
  tribble(
    ~cat, ~n,
    "Female", 14,
    "Male", 21
  ) %>%
  mutate(cat = fct_reorder(cat, n))

ethnicity <-
  tribble(
    ~cat, ~n,
    "Hispanic or Latino", 4,
    "Native American/Alaskan", 1,
    "Black or African American", 7,
    "Asian or Mideast Indian", 2,
    "White or Caucasian", 23,
    "Not Available", 2
  ) %>%
  mutate(cat = fct_reorder(cat, n))

all_data = bind_rows(
  mutate(ethnicity, type = "Ethnicity"),
  mutate(gender, type = "Gender"),
  mutate(etiology, type = "Etiology"),
  mutate(age, type = "Age")
)

ggplot(all_data, aes(x = n, y = cat)) +
  geom_col() + 
  facet_grid(type~., scales = "free", space = "free") +
  theme_bw() +
  labs(y = NULL) +
  scale_x_continuous(expand = expansion(c(0,.1)))

[Shaggyy]

Thank you so much @JackDavison This is very helpful and exactly what I required. I will go through the FAQ resource on reprex Thanks, again.