yoshinoGRAPH 6.1.7 Activation Code Full Version
Analyzing scientific data and creating visual representations for projects that involve two-dimensional graphs as well as 3D ones is something the average user will surely not be doing on a regular basis.
On the other hand, students and researchers would certainly need a tool that can make their job a bit easier and yoshinoGRAPH was developed to be one such software solution.
Download yoshinoGRAPH Crack
| Software developer |
Harukazu Yoshino
|
| Grade |
2.6
1369
2.6
|
| Downloads count | 13240 |
| File size | < 1 MB |
| Systems | Windows 7, Windows 7 64 bit, Windows 8, Windows 8 64 bit, Windows 2008 R2, Windows Server 2012, Windows 10, Windows 10 64 bit, Windows Server 2016 |
One of the main advantages of this particular piece of kit can be noticed right off the bat as it will be ready to run without requiring installation. It comes with every dependency built-in, so there are no special requirements.
The main window of yoshinoGRAPH offers a neat layout where all the functions are placed in their corresponding menus for easy access. Also, most of the space is reserved for graph plotting and analysis, so users can view the data clearly, even if several child windows are opened inside the main workspace.
Perhaps the most appreciated trait of yoshinoGRAPH Serial is the abundance of functions it offers, so users can load data from single files or multiple compatible text data files. Numerous types of graphs can be loaded and analyzed, while the data conversion functions are also quite a few.
Data points can be edited in great detail and there is a plethora of plotting functions for a variety of three-dimensional shapes. The analysis section is fitted with data point, plot range and control 3D graph features, with numerous lines, curves and functions waiting to be fitted with a single click.
On the whole, yoshinoGRAPH seems quite well equipped to accommodate the needs of advanced users who need to handle data stored in text format and create graphs, view the information and analyze it on the spot. The evident downside is the limited support for input, which may deter users who have to work with datasets that exceed many times the capabilities of a simple plain text file.