Look on my works, ye Mighty, and despair!

If you have a csv with a list of values, and you want to see the distribution, R is an excellent choice.

First, you need to load the data:

data <- read.csv("data.csv", header=TRUE)

(faster methods are available, for large datasets)

You will also need to install ggplot2, if you haven’t already:

install.packages("ggplot2")

(you can install the entire tidyverse, but that seems to download most of the internet)

Finally, import the library, and generate the chart:

library(ggplot2)

ggplot(data, aes(x=num)) + geom_histogram(binwidth=.5)

Et voila!