Frequency Magnitude histogram plot

Hi I have two variabes (Freq and magnitude) I want to plot the histogram so that I get Freq on y axis and magnitude on x-axis.
Please guide

4 Comments

Can you please attach your data or a picture of what you're trying to get. It's not clear from your question what you want.
so, by definition, a "histogram" has counts on the y-axis. i.e. you can only plot a histogram of 1 variable, not 2. Unless I had misunderstood the question.
Data Frequency
2.10-2.199 43
2.2-2.299 41
2.3-2.399 31
2.4-2.499 29
2.5-2.599 13
2.6-2.699 9
2.7-2.799 3
2.8-2.899 2
2.9-2.999 1

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Answers (1)

Is this what you had in mind?
xedge = 2.1:.1:3;
freq = [43 41 31 29 13 9 3 2 1];
bar(xedge, [freq 0], 'histc')

4 Comments

jay's "Answer" moved here since it's not an answer to the original question:
Nope I need binning of data and then to creat a histograme which would be exaclty same as figure I have attached above.
Thank you
Well, you have not given your original data. The data you gave is already the "counts" - just as if you have already taken the histogram of some continuous data. What is the original data? What are the numbers in the rang 2.1 - 2.199 that occurred 43 times? And besides, the freq data you gave cannot replicate the shape of the histogram you gave so you can NOT "creat a histograme which would be exaclty same as figure I have attached" .
Here is the orignal data set. I have created the ranges lets say 2.1-2.199 and counted numbers in series above 2.1 adn next 2.2-2.299 and again counted numbers above 2.2 and so on to get frequency
2.745 2.422 2.876 2.477 2.440 2.674 2.600 2.450 2.630 2.439 2.432 2.483 2.652 2.255 2.448 2.441 2.447 2.537 2.440 2.671 2.502 2.421 2.438 2.582 2.943 2.387 2.221 2.243 2.214 2.187 2.242 2.426 2.385 2.260 2.647 2.595 2.219 2.471 2.495 2.256 2.133 2.225 2.215
x = [2.745 2.422 2.876 2.477 2.440 2.674 2.600 2.450 2.630 2.439 ...
2.432 2.483 2.652 2.255 2.448 2.441 2.447 2.537 2.440 2.671 ...
2.502 2.421 2.438 2.582 2.943 2.387 2.221 2.243 2.214 2.187 ...
2.242 2.426 2.385 2.260 2.647 2.595 2.219 2.471 2.495 2.256 ...
2.133 2.225 2.215];
xedge = 2.1:0.1:3;
n = histc(x, xedge);
bar(xedge, n, 'histc');

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on 20 Jul 2014

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on 22 Jul 2014

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