in the result.

In $[16]$: $,y$ customers $=$ pd$.$DataFrame

'name': $[\text{'}$Rosaline Franklin', 'William Gosset', 'Snehal Raj Gupta'$],$

'occupation $\text{'}$: $[\text{'}$Chemist$\text{'},$ 'Engineer', 'Student' $],$

'dateregister': $[\text{'}2012-02-08\text{'},\text{'}2021-03-25\text{'},\text{'}2024-02-19\text{'}],$

'ExpYear': $[7,1,17],$

index 'coo$1\text{'},$ 'coo$2\text{'},$ 'coo$3\text{'}],$

columns $=[\text{'}$name$\text{'},$ 'occupation', 'dateregister' $,$ 'Expyear'$]$

customers

out$[16]$:

$\backslash$table$[[,$name,occupation,date,ExpYear$],[$coo$1,$Rosaline Frar,it$,2012-02-08,7],[$coo$,$William Gos:,Engi,$202,1],[000,$Snehal Raj Gupta,Student,$2024-02-19,17]]$

CHANGE THE NAME TO SARAH MICHELLE instead ot Snehal name