Positive and negative Loglikelihood values for gamma distribution using fitdistrplus in R

Question

I have a dataset and the dataset normalized to the maximum value (values between [0,1] and I try to fit gamma distribution. I am using fitdistrplus and I am estimating the parameters of the distribution while I get the loglikelihood values and AIC and BIC. Using my data the loglikelihood is negative and when my data is normalized is positive. Can you tell me why? Also, the shape parameter seem to be similar while the rate it is not. Any comment on that? Thank you

data <- c(130, 200, 830, 380, 680, 260, 280, 219, 330, 77, 360, 170, 240, 110, 170)

fit_gammaB <- fitdist(data, "gamma")
> summary(fit_gammaB)
Fitting of the distribution ' gamma ' by maximum likelihood 
Parameters : 
         estimate  Std. Error
shape 1.784525060 0.571213823
rate  0.006316464 0.002271273
Loglikelihood:  -98.38866   AIC:  200.7773   BIC:  202.1934 
Correlation matrix:
          shape      rate
shape 1.0000000 0.8519429
rate  0.8519429 1.0000000

And when my data is normalized to the max value:

> fit_gammaB <- fitdist(data_norm, "gamma")
> summary(fit_gammaB)
Fitting of the distribution ' gamma ' by maximum likelihood 
Parameters : 
      estimate Std. Error
shape 1.784173   0.600506
rate  5.241396   2.034361
Loglikelihood:  2.432731   AIC:  -0.8654627   BIC:  0.5506377 
Correlation matrix:
          shape      rate
shape 1.0000000 0.8671602
rate  0.8671602 1.0000000