Anpassungen der README

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@ -60,6 +60,48 @@ This project was implemented in Python. To use the project, all packages listed
- Demographic data was plotted
- Start exploring signal processing
#### Hypothesen
The following two hypotheses were applied in this project:
- Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%.
- Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups.
The procedure was as follows:
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### Demographic plotted
#### Correlation matrix
The following figure shows a correlation matrix of age groups and diagnoses. This matrix describes the four diagnosis groupings on the horizontal axis and the age groupings in decade increments on the vertical axis.
The colour scale represents the correlation between the two types of categorization:
- Blue (low)
- Red (high)
The exact procedure for creating the matrix can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb).
![Alt-Text](readme_data/Korrelationsmatrix.png)
#### Histogramm
The following histogram shows the age distribution. It illustrates the breakdown of the grouped diagnoses by age group as well as the absolute frequencies of the diagnoses.
The exact procedure for creating the histogram can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb).
![Alt-Text](readme_data/Histogramm.png)
## Contributing
- coming at the end of the Project...

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