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This commit is contained in:
Jason Bou-Samra
2024-04-07 19:13:04 +10:00
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Makefile
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## build Histogram
## jbs - paragonsoft
## 06 Apr 2024 15:55
all: histo
histo: histogram.c
cc -o histo histogram.c -lm
clean:
rm histo
README.md
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# Histogram
what is a histogram?
The visual representation that charts the frequency distribution of variables in a data set.
A frequency distribution shows the regularity of an occurrence of a value in a set of data.
Often confused with a bar chart, although there are certain defining characteristics of differentiation.
* The x-axis consists of equal width bars without space in between, known as bins or buckets that represent a range of classes.
* x axis is the class interval and is labelled with a number rather than a description.
* The y axis represents the frequency of occurrence of a value.
* Bar graphs represents data that is discrete or categorical in nature
Uses
In statistics to show the frequency of a specific value within a certain range.
Used to analyse large amounts of data easily to detect trends and patterns.
## Change-log:
* 06/04/2023 - Initial release
* 04/04/2023 - Foundation code
## Compilation
type `make` or `cc -o histo histogram.c -lm` on the command line
## Todo
* Need to use SDL2 to plot a graph of the output
## Author(s)
Jason Bou-Samra
dist3.dat
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gauss.dat
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histo
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histogram.c
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/************************************
** Display data file as Histogram **
** Jason Bou-Samra 06/04/2024 **
** Paragon Software **
************************************/
#include <stdio.h>
#include <math.h>
int main()
{
int N = 10000; // number of samples (data points)
int nbin = round(sqrt(N)); // number of bins ~ sqrt(N) (or nearest integer value if not perfect square)
float hist[nbin]; // histogram array
float x[N]; // array of data points
float xmax, xmin; // minimum & maximum x data point values
float summ; // used to normalise data
float dx; // dx = (xmax - xmin) / nbin (delta value)
int i,j; // index variables
FILE *fptr_r, *fptr_w; // read and write file pointers
fptr_r = fopen("uniform.dat", "r"); // data points (read in)
fptr_w = fopen("dist3.dat", "w"); // the histogram output file (write out)
if(fptr_r == NULL || fptr_w == NULL) {
perror("Error opening file");
return(-1);} // handle fopen error, if any
for (i = 0; i < N+1; i++)
{
fscanf(fptr_r, "%G", &x[i]);
}
xmin = x[1]; // search for xmin
for (i = 1 ; i < N+1 ; i++)
{
if (x[i] < xmin) {
xmin = x[i];
}
}
xmax = x[1]; // search for xmax
for (i = 1 ; i < N+1 ; i++)
{
if (x[i] > xmax) {
xmax = x[i];
}
}
dx = (xmax - xmin) / (float)(nbin); // calculate dx
for (j = 0 ; j < nbin+1 ; j++) // compute histogram
{
hist[j] = 0.0f;
for (i = 0 ; i < N+1 ; i++)
{
if ((x[i] >= (xmin + (j - 1) * dx) && x[i] < xmin + j * dx))
hist[j] = hist[j] + 1.0f;
}
}
//summ = 0.0f; // normalize
//for (i = 1 ; i < nbin ; i++) summ = summ + hist[i];
//for (i = 1 ; i < nbin ; i++) hist[i] = hist[i] / summ;
for (i = 1; i < nbin+1; i++)
{
fprintf(fptr_w, " %3.18f %3.18f\n", xmin+i*dx, hist[i]);
}
return 0;
}
uniform.dat
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