$\backslash$table$[[,$Animal,Weight $($kg$),\backslash$table$[[$Top Speed$],[(k\frac{m}{h})$

write a python code to cluster the animals in this table $,$first we need to transform non numeric features to numeric ones $($use other method than one hot encoding$),$ standardize the data $,$plot the elbow graph and find the optimal number of clusters, $$print the clusters output $($the animals contained in $)$ and label the clusters, the clusters must realistic as much as possible foe example you can't put a sheep and a cheetah in the same cluster.

and the kmeans algorithm can't be imported from sklearn library $,$ it has to be written as a function within the code.

please make sure that there are no errors in the code

$\backslash$table$[[,$Animal,Weight $($kg$),\backslash$table$[[$Top Speed$],[(k\frac{m}{h})$