> For the complete documentation index, see [llms.txt](https://nodanomics.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nodanomics.gitbook.io/docs/documentation/nodes/data-type-nodes/dataset.md).
# Dataset
The Dataset node is an array of data.
You can create a spreadsheet with your project's data and link it to the diagram, using the Dataset node. It's also possible to save and read data from Data nodes into Datasets.
## Creating a spreadsheet
Using your favorite spreadsheet editor, create a table with your project's data.
### Styling
The spreadsheet must be organized as such:
| {Dataset Name} | {Data 1} | {Data 2} |
| :------------: | :------: | :------: |
| | 0 | 3 |
| | 1 | 4 |
| | 2 | 5 |
## Importing spreadsheets
To import the spreadsheet into your project, you must use the Spreadsheets library menu.
{% hint style="warning" %}
The spreadsheet file must be in the XLSX file format.
{% endhint %}
## Interacting with the spreadsheet data
To reference the Dataset in the diagram, you need to use the following notation system: `datasetTag[``x``][``y``]`
Here's the above table with the coordinates individually marked:
Dataset Name (X = 0)
Data 1 (X = 1)
Data 2 (X = 2)
0 (Y = 0)
3 (Y = 0)
1 (Y = 1)
4 (Y = 1)
2 (Y = 2)
5 (Y =2)
To reference the number "5", per example, we would write `datasetTag[``2``][``2``]`
In the same manner, to reference the number "4", we would write `datasetTag[``2``][``1``]`
If we put this into a Formula's "Expression" field `datasetTag[``2``][``2``] * datasetTag[``2``][``1``]`, it would be the same as inputting `5 * 4` and that would give `20` as the result.
{% hint style="info" %}
Datasets are very useful to gather together the inputs from your project.
In this way, the only thing needed to update new values in your project is the spreadsheet with the updated values.
{% endhint %}
{% hint style="info" %}
You can also use Datasets to output data from the diagram. e.g. Individual Player Data based on Day.
{% endhint %}