1 00:00:01,410 --> 00:00:07,890 Now, before we start to learn about the tapes, let us first look at different elements that constitute 2 00:00:07,890 --> 00:00:08,340 a chart. 3 00:00:09,840 --> 00:00:17,910 Here we have a chart displaying graph of profit margin and income income as bloated as vertical columns, 4 00:00:18,600 --> 00:00:23,410 and the profit margin is plotted as line with square markers. 5 00:00:24,630 --> 00:00:31,560 This income and profit margin data is called data series, and the individual value of this dataset 6 00:00:31,560 --> 00:00:37,810 is such as this single bar or this particular marker are known as data points. 7 00:00:38,790 --> 00:00:43,830 So remember, a dataset is a combination of several data points. 8 00:00:45,300 --> 00:00:54,650 Now this horizontal axis is known as category X's or just horizontal axis and the label at the bottom. 9 00:00:55,350 --> 00:01:00,320 This month's values written here are known as the horizontal axis labels. 10 00:01:01,530 --> 00:01:05,160 Now, similar is the nomenclature for the vertical axis. 11 00:01:05,910 --> 00:01:10,200 But if you notice in this chart, we have two vertical axis. 12 00:01:13,030 --> 00:01:20,770 The one on the left is called primary vertical axis and one on the right is called the secondary vertical 13 00:01:20,770 --> 00:01:21,310 axis. 14 00:01:22,390 --> 00:01:29,290 We have created these two axis because there is a huge difference in the values of income and profit 15 00:01:29,290 --> 00:01:33,940 margins while the values of income is in the thousands. 16 00:01:34,520 --> 00:01:38,110 The value of profit margin is in decimal points. 17 00:01:39,820 --> 00:01:47,440 If the profit margin were plotted using the left axis, the line for profit margin would not be even 18 00:01:47,440 --> 00:01:47,910 visible. 19 00:01:48,610 --> 00:01:55,600 It will be so close to the horizontal axis that we would not be able to even see it, therefore, adding 20 00:01:55,600 --> 00:01:59,500 a separate secondary vertical axis solve this problem. 21 00:02:00,730 --> 00:02:05,020 Now we are able to add two different scales on a single graph. 22 00:02:06,580 --> 00:02:15,250 Again, the one on the left is known as Primary Vertical Axis, and its label is known as primary vertical 23 00:02:15,250 --> 00:02:16,360 axis labels. 24 00:02:17,260 --> 00:02:22,040 So these values are two hundred forty thousand dollars, one hundred ninety thousand dollars. 25 00:02:22,360 --> 00:02:25,450 These are the primary vertical axis labels. 26 00:02:27,130 --> 00:02:34,570 And this one on the right is known as secondary vertical axis and its label are known as secondary axis 27 00:02:34,570 --> 00:02:35,110 labels. 28 00:02:38,160 --> 00:02:45,210 You can also notice that we have this informative box on the right hand side displaying what these bars 29 00:02:45,210 --> 00:02:46,680 and lines represent. 30 00:02:48,780 --> 00:02:57,680 These two values are known as Legends of the Arts to this blue bar is representing the income and these 31 00:02:57,690 --> 00:03:01,600 orange line with orange markers is giving us the profit margin. 32 00:03:03,030 --> 00:03:09,010 You can also notice that we have these numerical values on the top of the profit margin. 33 00:03:09,780 --> 00:03:12,670 These values are monice data labels. 34 00:03:15,000 --> 00:03:20,130 We also have this chart title on the top containing the value, income and profit. 35 00:03:22,440 --> 00:03:25,370 This chart also contains horizontal grid lines. 36 00:03:26,700 --> 00:03:34,290 Good lines are basically the extension of the vertical axis scales, which makes it easier for the viewer 37 00:03:34,440 --> 00:03:37,230 to determine the magnitude of the data points. 38 00:03:37,560 --> 00:03:46,470 So, for example, if I want to find out the value of income for the month of April, I can see that 39 00:03:47,100 --> 00:03:55,260 it is slightly above this one hundred forty thousand dollars gridline mark so I can approximate it to 40 00:03:55,260 --> 00:03:58,250 be around one hundred fifty thousand dollars. 41 00:03:58,950 --> 00:04:04,780 If you hover over the bar, it is giving us the value of one hundred fifty two thousand. 42 00:04:04,890 --> 00:04:07,800 So it is a pretty good estimate for the value. 43 00:04:10,850 --> 00:04:16,930 In addition to this, all charts have a chart area, which is this entire background area of the chart. 44 00:04:17,180 --> 00:04:22,330 So this highlighted square, this outer boundary is containing the chart area. 45 00:04:23,690 --> 00:04:25,550 And then we have a plot area. 46 00:04:26,300 --> 00:04:32,910 Plot area shows the actual chart, including the data, the axis and the axis labels. 47 00:04:34,070 --> 00:04:37,910 So this small square inside the target area is the plot area. 48 00:04:40,850 --> 00:04:46,360 So that's all for denominate later of charge, but why did we learn all of this? 49 00:04:47,690 --> 00:04:55,670 We learned all of this because Exel has independent formatting options for all of these elements. 50 00:04:56,810 --> 00:05:06,050 And it will be really helpful to divide any formatting task into manageable individual segments and 51 00:05:06,050 --> 00:05:10,950 then we can format each of these individual elements separately. 52 00:05:13,040 --> 00:05:21,190 I know remembering them must be a difficult task, but everyone was trying to MasterCharge should know 53 00:05:21,230 --> 00:05:28,850 this nomenclature in the coming radius of this course, you will be learning about how to format each 54 00:05:28,850 --> 00:05:31,430 and every individual element of Richard.