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Course project for VAML. Focus on visualization of application performance.

HTML 0.63% Python 98.35% CSS 0.02% JavaScript 0.07% Jupyter Notebook 0.03% C++ 0.24% C 0.47% Fortran 0.03% Smarty 0.01% Makefile 0.01% MATLAB 0.01% TeX 0.08% Tcl 0.05% PowerShell 0.01% Batchfile 0.01%

vaml_applicationperformance's Introduction

VAML_ApplicationPerformance

Course project for VAML. Focus on visualizations of application performance.

Requirement

1 - use Chrome

2 - Flask/pandas/sklearn installed

3 - make sure your localhost:5000 port isn't occupied by other applications

How to run

1 - get into 'final_submission' directory

2 - get into 'Include' directory

3 - execute 'python test.py' under that directory

4 - open 'Chrome' browser

5 - type in '127.0.0.1:5000/pmd' in address to view performance analysis for 'pmd' application

Tips

1 - Selecting time periods in line chart(Performance view) takes time to update other views.

2 - If you hover on parallel coordinates views or click on data items in them, you need to double click on PCPs to recover prior to your interactions with other plots. Because I set a block on it to make viewing other plots in down page easier.

3 - If you brush on coordinates in PCPs, a rectangle appears on the coordinate. Remember to click on the other part of that coordinate to cancel selection prior to other interactions. (Because I also set a block on it.)

4 - If you find the selection in line chart(Performance view) goes wrong, double click on PCPs to make it recover because you are highly possible trigger the hover event on PCPs.

5 - Drag to select the time period on line chart, click to cancel it.

Interactions

Detailed interactions and documentations can be found in 'ProjectReport_VAML.pdf' under the same folder as this 'README.md' file

vaml_applicationperformance's People

Contributors

fwworks avatar

Watchers

James Cloos avatar  avatar Shashank Shekhar avatar Anirban Bhattacharjee avatar  avatar  avatar

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