> ## Documentation Index
> Fetch the complete documentation index at: https://docs.timesdb.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Datasets

Datasets are a fundamental entity in TimesDB, allowing users to input historical data for forecasting. Users can upload datasets onto the platform and associate tags to organize and categorize them.

## Dataset Format

The dataset should be in CSV format with two columns: `timestamp` and `value`.

* **timestamp**: The timestamp should be in any parsable format, such as `YYYY-MM-DD HH:MM` or `YYYY-MM-DD`. TimesDB supports various date and time formats.
* **value**: The value column should contain numerical data. This can include integers or decimals, and both positive and negative values are supported.

## Uploading Datasets

To upload a dataset, follow these steps:

* Navigate to the 'Datasets' section in the TimesDB platform.
* Click on 'Upload Dataset'.
* Select the CSV file from your local system.
* Enter any relevant tags for categorization and organization.
* Click 'Upload' to complete the process.

## Managing Datasets

After uploading, you can view, edit, and delete datasets in the 'Datasets' section. You can also add or remove tags as needed.

## Dataset Best Practices

* Ensure your data is clean and preprocessed before uploading.
* Use descriptive tags for easy search and organization.
* Regularly update your datasets to maintain the accuracy of your forecasting models.


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