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Questions tagged [histogram]

In statistics, a histogram is a graphical representation, showing a visual impression of the distribution of data.

In statistics, a histogram is a graphical representation, showing a visual impression of the distribution of data. It is an estimate of the probability distribution of a continuous variable and was first introduced by Karl Pearson. A histogram consists of tabular frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to the of the observations in the interval. The height of a rectangle is also equal to the frequency density of the interval, i.e., the frequency divided by the width of the interval. The total area of the histogram is equal to the number of data. A histogram may also be normalized displaying relative frequencies. It then shows the proportion of cases that fall into each of several categories, with the total area equaling 1. The categories are usually specified as consecutive, non-overlapping intervals of a variable. The categories (intervals) must be adjacent, and often are chosen to be of the same size.

Histograms are used to plot density of data, and often for density estimation: estimating the probability density function of the underlying variable. The total area of a histogram used for probability density is always normalized to 1. If the length of the intervals on the x-axis are all 1, then a histogram is identical to a relative frequency plot.

In scientific software for statistical computing and graphics, The function hist generates a histogram. It can also optionally scale it so that its total area is 1. This puts it in the right scale if one want to overlay a probability density curve.

More about it here : histogram wiki

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c++: Making a histogram with arrays, pointers, for loops. I'm right there, I'm probably thinking too hard

Here is what I have so far: #include #include #include using namespace std; int* histogram (int arr[], int size); double deviation (int arr[], int size); double mean (int arr[], int size); int main () { int…
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Creating a percentage countplot in python with pandas

I want to create a histogram in python similar to the following histogram. However, instead of absolute values, I would like to have percentage values on the y axis. So basically, I would like to write a function that goes through my data frame…
bugsyb
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Match histogram of image to specific curve

I am trying to shape histogram of an image into a parabolic curve. I am following histogram matching technique specified in Digital Image Processing Book by Gonzalez and Woods. Following this, I get below results. But I thought the transformed…
Asiful Nobel
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how to plot probability histogram in ggplot2

I want to plot a probability histogram overlay with probability curve and compare them between two group. my code is as following, ggplot(MDmedianall, aes(x= MD_median, y=..density.., fill =IDH.type )) + geom_histogram(alpha = 0.5,binwidth =…
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Python, tkinter, plotting 3 stacked group-by histogram in the same subplot

I am new in python and I did a tkinter interface where questions are asked and then it plots graphics in another window. I am working on big csv files using panda library. The problem I have is when, on my graphics windows, I try to plot 3…
hlet
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Comparison of HoG with CNN

I am working on the comparison of Histogram of oriented gradient (HoG) and Convolutional Neural Network (CNN) for the weed detection. I have two datasets of two different weeds. CNN architecture is 3 layer network. 1) 1st dataset contains two…
Addee
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HOG descriptor is rotation invariant?

I am working grass weed detection. I have started to extract features from the HoG descriptor. As studied from the HoG literature that the HoG is not rotation invariant. I have total 18 images of each class of grass weed and there is two classes. In…
Addee
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Draw vertical line on histogram plot matlab

Matlab R2015b. I used the following code to draw the histogram: close all; hold on; ko = histograms_windows_1_0{7}; histogram(ko); set(gca,'XLim',[0 30],'XTick',0:5:30); xticks = [0;0.16;0.33;0.5;0.66;0.83;1]; set(gca,'XTickLabel',…
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In R, plot a histogram of how many time-points have viable data for each participant

I have a large data frame for which I want to be able to plot a histogram of the number of viable sessions -- indicated by any value other than NA -- for all participants in order to determine whether they are completing a sufficient number of…
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gnuplot histogram label values

I want to put the Y values over the top of bars of the histogram for the graph below: ` set style data histogram #clustered #set terminal wxt enhanced persist set term post eps enhanced "Times-Roman, 14" set output 'avg_waste.bmp' set boxwidth…
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What will be the maximum water that can be collected between 2 bars if we remove all the bars between them?

Given an integer array which represents the heights of adjacent vertical bars standing on the ground. The width of each bar is 1. Now you have to pick two bars and remove the bars between them such that when rain falls the water collected between…
cold_coder
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Matlab histogram scale BinEdges figure

I want to use MATLAB histogram to bin the largest values in my dataset into one bin so they are visible on the y axis, there are very few compared to the smaller numbers. I can use BinEdges to group the numbers greater than 4.4 into one bin, but, I…
user1490248
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Excel VBA: Histogram made of different series

I am trying to achieve a simple task in VBA: get a histogram made of different series. As "XValues" I have strings. As "Values" I have floats. The problem is, that when I add new series to the SeriesCollection of my xlColumnClustered chart, it does…
rubebop
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How to guide a color transfer process between 2 images using colored mask images to separate regions?

Currently I have this code which transfer color from one image, to another image: https://github.com/ProGamerGov/Neural-Tools/blob/master/linear-color-transfer.py The code works by transferring the color from one image, to another image. An example…
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Histogram: coord_cartesian in ggplot does not gives expected output

I have a large dataset with original and imputed values and the proportional differences between the two. The quantiles of the proportional differences are: > quantile(p$prdif, probs=c(0, 0.1, 0.2, 0.3, .4, .5,0.6, 0.7, 0.8, 0.9, 1)) 0% …
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