Analyse de l'application Data Generator Plus pour le 9 décembre

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.