5f643dab-31ce-4d2f-b065-e3a9a76fdffe 3 3 5 decimal
&[DATE] &[TIME] - &[FILENAME]
&[PAGENUM] / &[COUNT]

Bar plot unicolor style, bar width user.

data dt BarSize v data 2 col : t v bar t dt - 0 t dt - v t dt + v t dt + 0 4 2 mat : j 1 data rows range j 1 ≡ B data j 1 el data j 2 el bar : B B data j 1 el data j 2 el bar stack : if 1 1 line for B 4 1 line :

collect all the counted values in sorted 'N'

N histogram value table count k 1 : j k table rows range table j el value ≡ index k el j : k k 1 + : 2 1 line index k el 0 : if for index rows 3 1 line : i 1 N max range x i el i : count i el i N count : 2 1 line for x count augment 3 1 line :

Error stem plot for QuickPlot unicolor

data Stem stemX 1 data rows range : i 1 stemX rows range stem i el data i 1 el data i 2 el data i 1 el 0 2 2 mat : for i 1 stem rows 1 - ( range stem i el stem i el stem i 1 + ( 1 el 1 el 0 1 2 mat stack : for V stem 1 el : j 2 stem rows 1 - ( range V V stem j el stack : for V V data data rows row stack : 7 1 line :

'h' is very closely normaly distributed [CLT]

n 200 : h 10 n Random * 20 n Random * + 30 n Random * + : N h Ceil vectorize sort : H N histogram : 4 1 line 3 54 2 1 mat 54 29.009

In this demo, λ is a "fake scale" factor to see PDFnormal, to be optimized "Genfit"

λ H 2 col sum : μ H rows 2 / : σ H StdDev : 3 1 sys 253 27 16.072 3 1 mat
Histogram . . .
is a graphical representation of the binned number of coccurrences.
More generally, in Engineering, it represents how similar measurements
distribute over the sampling experiment. From the frequency representation,
it is tempting to fit a function. This task is the most difficult in Engineering.
Very many functions will looke so alike. A good example is the US rainfall.
For decades, it was represented by the Extreme_II Gumbel. It was finally
recognized Fréchet. The weighted histogram may help select best PDF.
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Central Limit Theorem: confirmed

 plot min 3.1