Histogram matlab

Hi all,
I am trying to combine two graphs in MATLAB, but only neither of the graphs end up being plotted, and I am not sure why?
AlphaNone=readmatrix('turntable1_Alpha_No_absorber.txt'); H=histogram(AlphaNone); %% Generates histogram of data set HV=H.Values; HVBAR=HV/1774; %%% Convert to probabilities R=range(AlphaNone); M=mean(AlphaNone); %% Using the Range and Mean of this data enabes up to simulate a Poisson Distribution x = 0:R; y = poisspdf(x,M); figure hold on yyaxis left bar(x,y,1) xlabel('Counts') ylabel('Probability') yyaxis right bar(x,HVBAR,1) ylabel('Probability') legend('Simulated Distribution', 'Experimental Distribution') title('Alpha Radiation with no Absorber') hold off

Hi all!
As a part of one of my university subjects this semester, I am writing a research project that involves some content-based PD around coding histograms, types of distributions and solar wind using MATLAB (a coding program used by some engineers and universities). I also am currently working as a maths teacher under the PTT scheme.
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If you have completed any content-based PD, what have you found most and least valuable?
I know to keep things short and sweet as we're all limited on time, but any help is greatly appreciated!

Any suggestions/ criticism to improve resume are encouraged!
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https://preview.redd.it/agetrjg48yoa1.png?width=1699&format=png&auto=webp&s=5542d1743f31e1170010b609f4603326697ddf32

I have a set of data in excel and I have to create an histogram. I was able to open the excel file in Matlab but I don't know what to do from there, and I wasn't able to understand what to do from my Google search. Can you help me?

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https://preview.redd.it/zri8wxv3azla1.png?width=1317&format=png&auto=webp&s=790ac42ce8a1b782ce279ac07bf20824d823d98c

Hey all!
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https://reddit.com/link/10lcsda/video/k2c3m0o8u9ea1/player

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https://preview.redd.it/dvhrzmnl8uca1.png?width=1048&format=png&auto=webp&s=68b0e8ec8c51200cdf76ae5b87197de4260e8e42
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https://preview.redd.it/tn9rkf9p8uca1.png?width=1045&format=png&auto=webp&s=2fb02c99b809a2b355ade448c7df637e36d3a68e
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My current position is Database Programmer as listed in my resume. I would like to transition into a mid-level software engineer or a more advanced database administrator.
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Any feedback is appreciated. In particular, I am struggling with my "Technical Skills" section. The section displayed right now is how it looked back to when I accepted my current position. I am thinking about trimming it by a lot, but not sure where to start.
I have quite a lot of thoughts but not sure where to start. I will definitely update the post as people ask me questions. Thank you everyone so much in advance. I really appreciate it.

Consider a normal distribution N(mu,sigma) where mu is the mean and sigma is the standard deviation of the distribution and they are not 0 and 1. Now I have a random variable R whose probability distribution is:
P(R) = (1/2)*[N(mu, sigma)^(-2)]
Does the random variable R still has a normal distribution? How to calculate the two parameters if it is still normal. What would be the distribution if this result is no longer normal.
PS: I generated some random data like I described and plotted the histogram on matlab. The result is not looking normally distributed and the mu and sigma are different with the original when fit a normal curve onto the data.
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Distribution of a R generated with (1/2)*[N(0.38, 0.07)^(-2)]. A normal curve is fitted onto these data.

Hello there!
As the title suggests, I've recently graduated and I'm looking for a Data Analyst job in London.
I have no professional experience and I would greatly appreciate any suggestion on how I could improve my résumé.
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https://preview.redd.it/837ibj1bggr91.png?width=1585&format=png&auto=webp&s=462e98123a2a05bc539cd854ac6f33cbd2d36c31

Hello!
I'm new to MATLAB and I've read several articles, but I'm still struggling. I have a data set and am asked to fit a lognormal distribution, create a histogram + fitted lognormal distribution plot.
Any assistance/guidance would be greatly appreciated!

s_arr = struct; s_arr.date = datetime("2022-07-01") + days(0:30); s_arr.gasprices = 4.84:-0.02:4.24; figure plot(s_arr.date,s_arr.gasprices) title('Struct: Daily Gas Prices - July 2022') 

tbl = table; tbl.date = datetime("2022-07-01") + (days(0:30))'; % has to be a column vector tbl.gasprices = (4.84:-0.02:4.24)'; % ditto figure plot(tbl.date,tbl.gasprices) title('Table: Daily Gas Prices - July 2022') 

message = "https://www.reddit.com/matlab/hot/.json?t=all&limit=100&after=" [response,~,~] = send(matlab.net.http.RequestMessage, message); s = response.Body.Data.data.children; % this returns a struct 

s(1).data.subreddit 

s(1).data.title 

s(1).data.ups 

datetime(s(1).data.created_utc,"ConvertFrom","epochtime") 

posted = arrayfun(@(x) datetime(x.data.created_utc,"ConvertFrom","epochtime"), s); 

figure histogram(posted(posted > datetime("2022-08-01"))) title("MATLAB Subreddit daily posts") 

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Hi all, i'm newbie of Matlab so for sure there is something that i do wrong. I thought that the problem was the increase in array size with each iteration (mmx[],mmy[] and ncc[]) so I try to preallocate but nothing changes. As I said in the title, the problem is that if I run this code two times, the PC become busy and i have to shit down Matlab. However the code works but I don't understand why this problem is happening. Here is my code, thanks in advance for any suggestions.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Specify the folder where the files live. myFolder = 'C:\Users\matte\Desktop\JPG_Tinta'; % Check to make sure that folder actually exists. Warn user if it doesn't. if ~isfolder(myFolder) errorMessage = sprintf('Error: The following folder does not exist:\n%s\nPlease specify a new folder.', myFolder); uiwait(warndlg(errorMessage)); myFolder = uigetdir(); % Ask for a new one. if myFolder == 0 % User clicked Cancel return; end end % Get a list of all files in the folder with the desired file name pattern. filePattern = fullfile(myFolder, '*.JPG'); % Change to whatever pattern you need. theFiles = dir(filePattern); mmx = []; mmy = []; ncc = []; champ = num2cell( 'D' : 'Y' ); RealPix2mm = 18.5; %valore per la foto a dimensioni reali ScaledPix2mm = round(RealPix2mm * 0.125,2); %valore per la foto re-sized disp(['Il scala delle immagini è: ' num2str(ScaledPix2mm) ' pixel/mm.']);
for z = 2 : length(theFiles) baseFileName = theFiles(z).name; fullFileName = fullfile(theFiles(z).folder, baseFileName); fprintf(1, 'Now reading %s\n', fullFileName); %% Import images ao = imread("1Me.JPG"); bo = imread(fullFileName); a = imresize(ao,0.125,"bicubic"); b = imresize(bo,0.125,"bicubic"); %RGB to gray AG = im2gray(a); BG = im2gray(b); %uint8 to double ag = im2double(AG).*255; bg = im2double(BG).*255; %Massimi asse x quindi delle colonne M = max (ag,[],1); N = max (bg,[],1); [i,j] = max(M); [k,l] = max(N); %Plotto i grafici figure plot(M,'g-') axis tight hold on plot(N,'r-') plot(j,i,'ob') text(j*1.10,i*1.05,'Massimo campione metallizzato') plot(l,k,'ob') text(l*1.10,k*1.05,'Massimo campione') hold off ylim([0 255]) title("Comparazione dei massimi sull'asse x") xlabel("N° di pixel asse x") ylabel("Intensità") legend('Campione metallizzato','Campione'); %Determino lo shift tra i due massimi xshift = round(abs( j - l ),2); mmShiftx = round((xshift/ScaledPix2mm),2); %arrotondo alle prime due cifre decimali disp(['La distanza tra i due massimi è di ' num2str(xshift) ' pixel.']); disp(['Lo shift sull''asse x del picco massimo del campione ' baseFileName ' è ' num2str(mmShiftx) ' mm.']) mmx =[mmx,mmShiftx]; %% Determino una funzione Max che plotto i massimi di entrambe le immagini colonna per colonna e crea un vettore riga %Massimi asse y quindi delle righe m= max(ag,[],2); n = max(bg,[],2); [o,p] = max(m); [g,h] = max(n); %Plotto i grafici figure plot(m,'g-') axis tight hold on plot(n,'r-') plot(p,o,'ob') text(p*1.10,o*1.05,'Massimo campione metallizzato') plot(h,g,'ob') text(h*1.10,g*1.05,'Massimo campione') hold off ylim([0 255]); title("Comparazione dei massimi sull'asse y") xlabel("N° di pixel asse y") ylabel("Intensità") legend('Campione metallizzato','Campione '); %Determino lo shift tra i due massimi yshift = round(abs( o - g ),2); mmShifty = round((yshift/ScaledPix2mm),2); disp(['La distanza tra i due massimi è: ' num2str(yshift) ' pixel.']); disp(['Lo shift sull''asse y del picco massimo del campione ' baseFileName ' è ' num2str(mmShifty) ' mm.']) mmy =[mmy,mmShifty]; %Determino coefficiente di correlazione campione per campione cc = corr2(AG,BG); ncc = [ncc,cc]; disp(['Il coefficiente di correlazione 2-D tra il campione metallizzato ed il campione ' baseFileName ' è: ' num2str(cc) '.']); end % figure % histogram('Categories',champ,'BinCounts',mmx); figure plot(mmx,'r-o'); ylabel("x-shift (mm)") xticks(1:22) xticklabels(champ) xlabel("Campioni") ylabel("X-shift (mm)") title("Intensity x-shift from standard") % figure % histogram('Categories',champ,'BinCounts',mmy); figure plot(mmy,'g-o'); ylabel("y-shift (mm)") xticks(1:22) xticklabels(champ) xlabel("Campioni") ylabel("Y-shift (mm)") title("Intensity y-shift from standard") % figure % histogram('Categories',champ,'BinCounts',ncc); figure plot(ncc,'b-o'); ylabel("Coefficiente di correlazione 2-D") xticks(1:22) xticklabels(champ) xlabel("Campioni") title("Coefficiente di correlazione 2-D tra campione metallizzato e campioni prodotti")

Hello all. I am looking for MATLAB problems/assignments/tutorials for digital photography (literally anything related to it). It is so that I can familiarise myself with relevant algorithms, common/useful functions and the concept itself. I don’t want to just be plotting a histogram and call it a day.
Any links, sources would be appreciated. I already looked through mathworks documentation.
In case I have to mention it, this is for personal use. Unsure how to tag this post so put it under technical question.
Thanks in advance.

I have a collection of discrete frequency counts in a histogram. I want to convert this into a PDF ("probability distribution function") such that the sum of all the bin sizes adds to 1.0 What procedure does this conversion?
(2nd question)
And how can this be done in Matlab?
Here is my histogram bins :

21	9	19	3	1	31	11	20	11

Data embedding is done by processing these selected coefficients of the modified subband histograms. We present a high capacity reversible watermarking scheme using the technique of difference & average value coefficients of image blocks by using the tool Matlab. This scheme takes advantage of difference & average value coefficients, which permits low distortion between the watermarked image and the original one caused by the LSB bit replacement operations of the watermarking technique specifically in the embedding process.

Data embedding is done by processing these selected coefficients of the modified subband histograms. We present a high capacity reversible watermarking scheme using the technique of difference & average value coefficients of image blocks by using the tool Matlab. This scheme takes advantage of difference & average value coefficients, which permits low distortion between the watermarked image and the original one caused by the LSB bit replacement operations of the watermarking technique specifically in the embedding process.