ggplot - each axis different column of df

[sig]

I want to create ggplot where X axis will include data from one column of the data frame and Y axis will include data from other column of the data frame.

This is the command:
ggplot()+
geom_point(diseases_california,mapping = aes(x=diseases_california[,6], y=diseases_california[,7]))

This is the output:

[FJCC]

The typical way to refer to data frame columns in ggplot is by name. Let's say column 6 is named Year and column 7 is named Cases.

ggplot()+
geom_point(data = diseases_california,mapping = aes(x = Year, y = Cases))

Edit:
If something like that does not work, please post a reproducible example.

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.…

[andresrcs]

FJCC is right, but even with your syntax you should be getting a result, so it is very likely that there is a problem with the structure of your data set. In order to help you with that please provide a minimal REPRoducible EXample (reprex) of your issue.

For example this is a reprex with some built-in data, you could do the same but with a subset of your own data.

library(ggplot2)

diseases_california <- iris # Madeup data

ggplot() +
    geom_point(diseases_california, mapping = aes(x = diseases_california[,1],
                                                  y = diseases_california[,2]))

^{Created on 2019-06-02 by the reprex package (v0.3.0)}