## Graphical EDA

You can include as **Graphical Exploratory Data Analysis** (**G****raphical EDA**) any kind of technique that implies visualizing your data following some kind of conventional system. This can involve representing it on a Cartesian plot or following polar coordinates; the main point here is that you do not rely on any kind of summary, but just on your eyes to read the story your data has to tell.

### Visualizing a variable distribution

One of the first things you can do when performing graphical EDA is to look at the distribution of your data, one variable at a time. To do that, two main types of plot come in to help:

- Histogram
- Boxplot

#### Histogram

A histogram is a special kind of bar plot, having on the *x* axis the unique values shown from your variable, or some kind of clusterization of these values, and on the *y* axis the frequency of these values. Let's plot a histogram for each of our three variables within the `cash_flow_report`

*.* We are going to use `ggplot`

, which somebody told me you should already...