The package **spiralize** visualizes data along an Archimedean spiral.
It has two major advantages for visualization:

- It is able to visualize data with very long axis with high resolution.
- It is efficient for time series data to reveal periodic patterns.

https://jokergoo.github.io/spiralize/

Zuguang Gu, et al., spiralize: an R package for Visualizing Data on Spirals, Bioinformatics, 2021. https://doi.org/10.1093/bioinformatics/btab778

The package is available on CRAN and can be installed by:

```
install.packages("spiralize")
```

If you want the latest version, install it directly from GitHub:

```
library(devtools)
install_github("jokergoo/spiralize")
```

It includes three steps:

- initialize the spiral,
- add a track,
- add graphics to the track.

Step 2 and 3 can be applied multiple times to allow multiple-track visualization along the spiral.

The code for making spiral plot looks likes follows:

```
library(spiralize)
spiral_initialize(...)
spiral_track(...)
spiral_points(...)
...
```

Complex plots are baiscally constructed from simple graphics. Here there are following low-level graphics functions:

`spiral_points()`

`spiral_lines()`

`spiral_rect()`

`spiral_segments()`

`spiral_polygon()`

`spiral_bars()`

`spiral_text()`

`spiral_axis()`

`spiral_yaxis()`

`spiral_raster()`

Particularlly, horizon chart is very suitable to put on the spiral, thus there is one function for this:

`spiral_horizon()`

Spiral plot can also visualize dendrograms with large number of leaves, thus there are following two functions:

`spiral_dendrogram()`

`spiral_phylo()`

- Difference of
**ggplot2**daily downloads to the mean of the current year (2015-2021). Each loop contains 52 weeks so that same weeks in different years locate at the same angle in the polar coordinates.

- A phylogenetic life tree with 50645 species.

- The spiral COVID-19 Shiny app

MIT @ Zuguang Gu

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.