Histogram fit with curved fitting

I'm using histfit(Dataset1) to plot for the data set as shown below and I realised that the hisfit function sets the curve as normal by default. Is there any way I can make the distribution curve not to be normal but plot it based on the original skewness of the data?

Answer 1

[KSSV]

You are expecting like this?

v = randn(1000,1) ;
h = histogram(v) ;

i = h.BinEdges ; 

x = mean([i(1:end-1)' i(2:end)'],2) ;
y = h.Values ; 

hold on
plot(x,y)

[DANIEL KONG LEN HAO]

Hi, I was expecting something more like this on top of the histogram.

[KSSV]

REad about kernel in histfit.

[DANIEL KONG LEN HAO]

Alright, thank you!