The `ggraph`

package in R builds
upon the ggplot2
package, enabling advanced **graph and network
visualizations**.

This post explores the **key
features** of `ggraph`

through a series of
**graph visualization examples**.

{ggraph}

The `ggraph`

package in R extends the capabilities of the
ggplot2
package for creating sophisticated **graph
visualizations**.

It offers a rich set of **layouts** and
**aesthetic options** that make it easy to represent
complex network structures visually.

✍️ **author** → Thomas Lin Pedersen

📘 **documentation** → github

⭐️ *more than 1000 stars on github*

To get started with `ggraph`

, you can install it directly
from CRAN using the `install.packages`

function:

Network graphs requires a special data format based on 2 core
components: **nodes** and **edges**.

**Nodes**: Represent the entities in the network, such as people, organizations, or websites, that we will represent with points. You can think of it as the**vertices**of a graph.**Edges**: Represent the relationships between the nodes, such as friendships, collaborations, or links, that we will represent with lines. Each node can be connected to one or more other nodes.

The `ggraph`

package offers a `as_tbl_graph()`

function to convert a data frame into a graph object. Once you have a
graph object, you can use the `ggraph()`

function to create
**any type** of graph visualization.

And that’s where the magic happens! The `ggraph`

package
builds upon the `ggplot2`

package, enabling you to create
**sophisticated graph visualizations**, such as:

Here’s a basic example with the `highschool`

dataset and a
simple **network** graph:

You can map **node color** to your graph elements to
encode additional data.

Example:

You can also map **edge color** to your graph elements
to highlight relationships between nodes.

Example:

The `ggraph`

package supports a **circular
layout** that can be used to represent network data in a circular
form.

Example:

The `ggraph`

package also supports a **treemap
layout** that can be used to represent hierarchical data in a
tree structure.

Example:

The gallery is filled with examples that demonstrate the
**capabilities** of the `ggraph`

package. Each
example includes a **detailed explanation** and the
corresponding R code.

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