Is there any more efficient way to split a table than this

I am trying to split the table datatable into 3 smaller tables t1, t2 and t3, based on the value of the variable 'solar' in 'datatable'. accoding to three ranges:

(60-120) , (121-170) , (171<).

I did the following and its working fine but the issue is its slow and inifecient so How can I modify it to make it faster?

for ii=1:size(datatable)
    if(datatable.solarT(ii)>=60 && datatable.solarT(ii)<=120)
        t1(ii,:)=datatable(ii,:);
        t11 = rmmissing(t1);
    

    elseif(datatable.solarT(ii)>=121 && datatable.solarT(ii)<=170)
        t2(ii,:)=datatable(ii,:);
        t22 = rmmissing(t2);

    else
        t3(ii,:)=datatable(ii,:);
        t33 = rmmissing(t3);
    end 

   end 

thank you in advance,

Answer 1

[the cyclist]

% Set random seed for reproducibility
rng default

% Make up a table with pretend data
N = 30;
x = rand(N,1);
solar = 200*rand(N,1);
dataTable = table(x,solar);

% Define t1 based on restricted range of table value
t1 = dataTable((dataTable.solar>=60)&(dataTable.solar<=120),:)

t1 = 8×2 table
       x       solar 
    _______    ______

    0.54688     63.42
    0.15761    87.749
    0.97059    76.312
    0.14189    97.953
    0.42176    89.117
    0.75774    99.673
    0.39223    68.077
    0.65548    117.05

[MA]

Thanks a lot.