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.