Help with histogram/barplot/scatterplot

[Chonguiri]

Hello, I've been trying to generate a plot in R.
Basically, I have a dataset that includes the depth at which certain organism was collected. What I want to do is to graph the depth against the number of individuals. I've tried with histograms and barplots but none seems to work (I'm also a newbie with R).
Plus, I'd like to add a cummulative frequency graph over it just to show how it varies.
I already could do it in Excel, in less than 5 minutes, but as in the rest of my graphs for that work I've used R, I wouldn't like this to be the exception. I didn't do the x-axis numeric in Excel, but it's something else I want in my plot.

Thanks in advance!

UPDATE:
So far I've been able to make the plot as I wanted, I had to use a lollipop plot.

This is my data:

      x  y
1   180  0
2   329  0
3   170  1
4  1530 11
5  1341  1
6   820  1
7  2106  3
8   972  0
9  1222  1
10  947  7
11 1566  5
12  468  0
13 2160  3
14 1800  6
15  220  0

Where 'x' is depth (m) and 'y' is the number of individuals. Then I found a gg plot to make it

h
ggplot(h,
       aes(x = x,
           y = y)) +
  geom_point() +
  geom_segment(aes(x = x,
                   xend = x,
                   y = 0,
                   yend = y))

UPDATE:

I finally could do it!
Here's my code and I'm replying with the plot:

a1 <- c(170, 180, 220, 329, 468, 820, 947, 972, 1222, 1341, 1530, 1566, 2106, 2160)
a2 <- c(1, 6, 0, 0, 0, 1, 7, 0, 1, 1, 11, 5, 3, 3)
a3 <- c(2.56, 17.95, 17.95, 17.95, 17.95, 20.51, 38.46, 38.46, 41.03, 43.59, 71.79, 84.62, 92.31, 100)
Ca <- data.frame(a1, a2, a3)
Ca

ggplot(Ca) + 
  geom_col(aes(x = a1, y = a2), size = 1) +
  geom_line(aes(x = a1, y = 0.1*a3), size = 1, color="red", group = 1, lty = 5) + 
  scale_y_continuous(sec.axis = sec_axis(~./0.1, name = "Frecuencia acumulada (%)")) +
  theme_light() +
  theme(
    panel.grid = element_blank(),
    panel.border = element_blank(),
    axis.line = element_line()
    ) +
  xlab("Profundidad (m)") +
  ylab("Abundancia (número de individuos)")

Lastly, I'd like to know if I can add a legend to make it clearer.

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Chonguiri]

So far this is the plot I've been able to do:

[Chonguiri]

Now I'd like to know if I can add a legend.

[andresrcs]

You can add one manually

library(tidyverse)

Ca <- data.frame(
          a1 = c(170,180,220,329,468,820,947,972,
                 1222,1341,1530,1566,2106,2160),
          a2 = c(1, 6, 0, 0, 0, 1, 7, 0, 1, 1, 11, 5, 3, 3),
          a3 = c(2.56,17.95,17.95,17.95,17.95,20.51,
                 38.46,38.46,41.03,43.59,71.79,84.62,92.31,100)
)

colors <- c("Acumulada" = "red", "Puntual" = "black")

ggplot(Ca) + 
    geom_col(aes(x = a1, y = a2, fill = "Puntual"), size = 1) +
    geom_line(aes(x = a1, y = 0.1*a3, fill = "Acumulada"), color = "red", size = 1, group = 1, lty = 5) + 
    scale_y_continuous(sec.axis = sec_axis(~./0.1, name = "Frecuencia acumulada (%)")) +
    scale_fill_manual(values = colors) +
    theme_light() +
    theme(
        panel.grid = element_blank(),
        panel.border = element_blank(),
        axis.line = element_line()
    ) +
    labs(
        x = "Profundidad (m)",
        y = "Abundancia (número de individuos)",
        fill = "Abundancia"
    )
#> Warning: Ignoring unknown aesthetics: fill

^{Created on 2021-09-12 by the reprex package (v2.0.1)}

[Chonguiri]

That's great! Thank you very much.
I've been reading and I've added some more elements:

ggplot(Ca) + 
  geom_col(aes(x = a1, y = a2, fill = "Puntual"), size = 1) +
  geom_line(aes(x = a1, y = 0.11*a3, fill = "Acumulada"), color = "red", size = 1, group = 1, lty = 5) + 
  scale_x_continuous(breaks = seq(0, 2200, by = 200)) +
  scale_y_continuous(breaks = seq(0, 11, by = 2),
                     sec.axis = sec_axis(breaks = seq(0, 100, by = 20),
                                                      ~./0.11, name = "Abundancia acumulada (%)")) +
  scale_fill_manual(values = colors) +
  theme_light() +
  theme(
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_blank(),
    panel.grid.minor.x = element_blank()
  ) +
  labs(
    x = "Profundidad (m)",
    y = "Abundancia (número de individuos)",
    fill = element_blank()
  )

My doubt now is if I can add a horizontal grid that only intersects at 50%.