Differences
This shows you the differences between two versions of the page.
| |
| ascii_analysis.ipynb [2024/02/23 07:56] – created tboudreaux | ascii_analysis.ipynb [2024/02/23 07:57] (current) – tboudreaux |
|---|
| === ASCII_Analysis.ipynb === | === ASCII_Analysis.ipynb === |
| This Jupyter notebook, titled 'ASCII_Analysis.ipynb', is a comprehensive analysis tool designed for the exploration and statistical study of ASCII data related to dance movements and the associated emotional states. The script includes functionalities for data preprocessing, visualization, and the extraction of meaningful statistics from time-series data. Through various statistical and signal processing techniques such as Lomb-Scargle periodograms and Gaussian fitting, it investigates properties like the center of position evolution, average distance from center, velocity analysis, and frequency domain analysis to discern patterns correlated with different emotions in dance movements. The notebook utilizes libraries such as pandas, matplotlib, numpy, scipy, seaborn, and mplEasyAnimate for its analysis. | This Jupyter notebook, titled 'ASCII_Analysis.ipynb', is a comprehensive analysis tool designed for the exploration and statistical study of ASCII data related to dance movements and the associated emotional states. The script includes functionalities for data preprocessing, visualization, and the extraction of meaningful statistics from time-series data. Through various statistical and signal processing techniques such as Lomb-Scargle periodograms and Gaussian fitting, it investigates properties like the center of position evolution, average distance from center, velocity analysis, and frequency domain analysis to discern patterns correlated with different emotions in dance movements. The notebook utilizes libraries such as pandas, matplotlib, numpy, scipy, seaborn, and mplEasyAnimate for its analysis. |
| | |
| ```python | ```python |
| import pandas as pd | import pandas as pd |
