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Women from the dimensions higher than two dimensions are pretty rare in practice but you'll get a really

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firm grasp of how adding new dimensions would impact the syntax.

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Let's take a quick look at a 3D art.

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Let's take an example of an electronic store who says that is represented by it data.

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So what you see here is a data you usually data warehousing software store data and such debacles.

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And this group has three dimensions Sleepy's.

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I mean months on products.

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So the store sells what products under how franchises and force it is and this only shows that for four

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months from John to April it actually dies matter if the units sort in this diagram 850 implies that

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850 iPads were sold in the month of April in New York stood alone all that 11 dimensions are highlighted

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in green.

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Such a Data Group which has three images can be implemented using it truly array.

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If we call this as Miami and if cities are present first dimension I'm leapers in second dimension on

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products represent third dimension.

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Then my aread in index 0 3 and Bruhn would read and the value 858 shown in their diagram.

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So zero in the first bucket corresponds to New York three in the second bracket got a sponsor to April

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on one in the third bracket got to Spawn's do I buy like in the case of one dimensional.

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Or is there are three ways to create 3-D arrays and they also use a similar syntax.

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And this is a fun way to do it.

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And by now we should be very familiar with the first dimension that was in cities.

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Second time on products and we can initialize it this way.

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And here is an illustration of a lot through the area here.

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The second layer represents the first dimension which is cities and the first rectangle in the CPC corresponds

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to New York New York references next dimension richest time in months and each in a triangle represents

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a month on each slot in the rectangle can be viewed as a third dimension which is part X the value in

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the slot is the number of units of that product sold.

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The diagram also illustrates the example D-W which is a trophy.

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A trophy is a number of i-Pad sold in the month of April in New York City alone.

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The index numbers to look at this data are shown in blue zero corresponds to a New York trigona wants

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to appear on one corresponds to IPART.

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Now if you recall a discussion on bullier is we had a slide with similar illustration.

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Even then the second layer represented the first dimension which is Rowse on the element in each rectangle

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was basically the second dimension.

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That is the actual data arge then.

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So then we had only Boully years because it was two dimensional.

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And here we have three layers to a very quick demo in the demo we will look at the other two ways of

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creating 3-D areas.

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That is the second and third approach a new method called three dimensional artist has been added to

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the basic demo class that you can download from the resources section.

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So let's hop onto the program.

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OK.

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Here is a numerator two dimensional arrays.

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And here we are creating a three dimensional array using the second approach.

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OK so you have the pipe followed by the empty square brackets and you are initialising right here.

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OK so that's the second approach.

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We know that.

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And so it's a lot of data here and here is the first dimension.

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So this is the second layer which is four cities.

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And here is the time and months.

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So that's the second dimension.

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So this is the first dimension.

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So this was the first dimension and time in months was the second dimension on that data that it has

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is the third dimension which is the products.

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So basically the data represents the units.

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So since it is this is and be initialized it to zero all of them zero except this one.

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So it's just the exact same example that we have seen in the slide.

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OK.

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So this is for New York and this is for January 1st March on April.

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And this is the date for us for San Francisco and so on for four cities.

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And here we are providing the value 850 So which corresponds to 0 3 and one so those are the next numbers

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within different dimensions.

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So just go ahead and compile and run this.

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So it's already combining some images from this.

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So as you can see it prints a 50.

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So that's the using the second approach.

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The that approach is very simple.

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We know that all we need to do is just remove this.

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It's the simplest form.

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And let me just compile and run this once again.

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So that's it.

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So that's the three dimensional arrays and they're very rarely used.

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And that's about it.

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And we're not going to discuss any more dimensions so that's not enough for discussion on our test.

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OK.

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So go ahead on the program and you can play with that.

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OK.

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Thank you.

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And happy coding