Time Series Data Generator
The Brillersys Time Series Data Generator is an application designed for generating synthetic time series data. It offers users the capability to simulate multiple time series with varying levels of complexity, trends, and sparsity. This application is particularly valuable for data scientists, analysts, and developers who require synthetic data for testing, modeling, and experimentation purposes.
Key Features and Functionalities
Data Export
Users have the option to export the generated synthetic data to Snowflake, facilitating seamless integration with databases for further analysis or storage.
Interactive Visualization
The application visualizes the generated time series data using Altair charts, providing users with an interactive and intuitive way to explore the synthetic data.
Customizable Settings
The application offers settings like dates, frequency, target range, trend complexity, random seed, and sparse series inclusion to tailor data generation.
Single or Multi Series Generation
Users can choose between generating a single time series or multiple time series simultaneously, depending on their requirements.
Use Cases
Model Testing and Validation: Data scientists can use the generated synthetic data to test and validate machine learning models, algorithms, and analytical techniques without relying on real-world datasets.
Algorithm Development: Developers can utilize synthetic data to develop and fine-tune algorithms, especially in scenarios where real data is scarce or sensitive.
Training Workshops and Courses: Educators and trainers can leverage the application to generate synthetic datasets for training workshops, courses, and tutorials on time series analysis and forecasting.
Settings Configuration
Series Options
Offers single or multiple time series generation for tailored analytical scenarios. Choose “Single Series” or “Multi Series” for precise and efficient data generation.
Start Date and End Date
Defines the start and end dates for the generated time series date. Let users to align with specific timeframes, enhancing relevance for analysis.
Minimum & Maximum Target Level
Help the userstoControls the range of target values by setting minimum and maximum levels. Adjusts data variability and scale for simulating diverse real-world scenarios.
Frequency
Allow the user to specify the data sampling frequency as hourly, daily or monthly.
Number of Series
This provides users with the capability to specify the desired number of series when option for “Multi Series” Mode.
Trend Complexity & Random Seed
Allows users to fine-tune trend complexity in each series, let users to simulate various trend patterns.
Facilitates users with precise control over randomness by specifying a predetermined seed
Include Sparse Series Option
Provides users with the option to include or exclude sparse series and adjust sparseness percentage
Visualization
Explore the generated time series data visually using the interactive Altair charts displayed in the main interface. Each chart represents a unique time series.
Generated Data
View the synthetic time series data in tabular format under the “Generated Data” section. The data includes timestamps (DS) and corresponding target values (Y) for each series.
Export Data to Snowflake
Click the “Create Table” button to load the generated synthetic data into Snowflake. Ensure that the required Snowflake connection details are configured properly.
