七麦数据

Data Generator is a fast, simple tool for generating realistic test data.
It offers configuration options that provide great flexibility and manual control over the generated data.
Test data can be used for machine learning or database testing purposes.

Features:
• Easy-to-use interface
• Ability to set the amount of data
• Ability to set minimum and maximum ranges for x-values and y-values
• Support for integer or double data types
• Option to avoid duplicate data (generate unique values only)
• Preview data as a graph
• Copy or save data in array format
• Supported array formats: [x], [y], [x, y], (x, y), {x, y}

Example Data:
[x] - [2, 2, 2, 10, ... , 2, 10, 4, 8]

[y] - [5, 3, 7, 8, ... , 4, 1, 2, 1]

[x,y] - [[2, 5], [2, 3], [2, 7], [10, 8], ... , [2, 4], [10, 1], [4, 2], [8, 1]]

(x,y) - ((2, 5), (2, 3), (2, 7), (10, 8), ... , (2, 4), (10, 1), (4, 2), (8, 1))

{x,y} - {{2, 5}, {2, 3}, {2, 7}, {10, 8}, ... , {2, 4}, {10, 1}, {4, 2}, {8, 1}}

Example Usage:
• Use for machine learning data training. Training data is used to teach an algorithm or machine learning model to predict specific outcomes. Test data is then used to evaluate the model's performance, such as accuracy and efficiency.
• Generate dummy data for Excel training.
• Create sample data as placeholders for both testing and operational purposes.
• Or use it for any other purpose based on your imagination!

Note:
For datasets with more than 500 points, only the first 500 data points are displayed in the graph preview to improve performance.

Thanks for your support and do visit nitrio.com for more apps for your iOS devices.

Data Generator is a fast, simple tool for generating realistic test data.
Generate data with configuration options. It provides great flexibility and manual control over the generate data.
Test data can be used for machine learning, database testing purposes.

Features:
• Easy-to-use interface.
• Able to set data amount.
• Able to set data minimum/maximum range for x-value and y-value.
• Able to set data value in integer or double value.
• Able to set avoid repeat data [unique value only].
• Preview data in graph.
• Able to copy/save data in array value.
• Data Array format including [x], [y], [x,y], (x,y), {x,y}.

Example Data:
[x] - [2, 2, 2, 10, ... , 2, 10, 4, 8]

[y] - [5, 3, 7, 8, ... , 4, 1, 2, 1]

[x,y] - [[2, 5], [2, 3], [2, 7], [10, 8], ... , [2, 4], [10, 1], [4, 2], [8, 1]]

(x,y) - ((2, 5), (2, 3), (2, 7), (10, 8), ... , (2, 4), (10, 1), (4, 2), (8, 1))

{x,y} - {{2, 5}, {2, 3}, {2, 7}, {10, 8}, ... , {2, 4}, {10, 1}, {4, 2}, {8, 1}}

Example Usage:
• Use for Machine learning data training, Training data is the data you use to train an algorithm or machine learning model to predict the outcome you design your model to predict. Test data is used to measure the performance, such as accuracy or efficiency, of the algorithm you are using to train the machine.
• Dummy data for excel training.
• Sample data as a placeholder for both testing and operational purposes.
• And anything else based on your imagination.

*For data more than 500, only 500 points are drawn on the graph preview [to speed up preview process]


Thanks for your support and do visit nitrio.com for more apps for your iOS devices.