Is the code snippet provided a correct way to calculate the correlation matrix for the given dataset?

import pandas as pd

#Create the data

data $\{$

$\text{'}$A$\text{'}$: $[1,2,3,4,5],$

$\text{'}$B$\text{'}$: $[5,4,3,2,1],$

C: $[2,3,4,5,6],$

D: $[10,20,30,20,10],$

And: $[1,1,2,2,3]$

$\}$

#Create a DataFrame

df pd$.$DataFrame $($data$)$ #Step $2$: Calculate the correlation matrix correlation$\_$matrix $=$ df$.$correlation$()$

No$,$ the dataset format is incorrect for calculating the correlation matrix

ves, it correctly calculates the correlation matrix

No$,$ the correct method to calculate the correlation matrix is df$.$corr$()$

No$.$ the correlation matrix can only be calculated for numerical data