Data Encoding: Encode the presence $(1)$ or absence $(0)$ of attributes for each risk description. DO GRAPH AND SCHEMES FOR QUANTITATES

Heatmap Creation:

Use a visualization tool $($e$.$g$.,$ Seaborn in Python$)$ to create a heatmap from the structured data.

Map the intensity of attributes using colors to represent the concentration.

Alignment Analysis: Annotate the heatmap with alignment notes from ALTA and HLEG guidelines to interpret the significance of each risk and attribute. CAN YOU FIND THE PERCENTAGES THAT EACH OF THE $28$ RICKSHAWS APPEAR IN THE CATEGORIES BELOW? Planning $($Column D$)$

Data $($Column E$)$

Development $($Column F$)$

Operation $($Column G$)$

Ethical $($Column H$)$

Legal $($Column I$)$

Technical $($Column J$)$

Societal Impact $($Column K$)$

Economic Impact $($Column L$)$

ALTA & HLEG Alignment $($Column M$)$