1 00:00:00,700 --> 00:00:03,120 Lines as a chart element 2 00:00:03,120 --> 00:00:07,220 link different data points of a data series to each other. 3 00:00:07,220 --> 00:00:12,562 So staying in our COGS spreadsheet, let's add some lines to the chart. 4 00:00:12,562 --> 00:00:15,531 Notice that there are still keyboard shortcuts here, 5 00:00:15,531 --> 00:00:19,350 the letters that are underlined, but I'm gonna use my mouse for now. 6 00:00:20,820 --> 00:00:21,490 So that's it. 7 00:00:21,490 --> 00:00:23,190 It's very easy to add lines to your chart. 8 00:00:24,450 --> 00:00:29,420 Lines are most commonly used on stacked column charts. 9 00:00:29,420 --> 00:00:32,500 They help to highlight where the large changes are occurring 10 00:00:32,500 --> 00:00:35,470 based on the slope of the different lines. 11 00:00:35,470 --> 00:00:41,319 So, here we can see the line above the raw material section of the column chart 12 00:00:43,290 --> 00:00:47,670 is steeper than the line for the tools section. 13 00:00:47,670 --> 00:00:49,430 So there's more of a change there. 14 00:00:50,690 --> 00:00:55,430 Similarly, from your two to three, the line for 15 00:00:55,430 --> 00:00:59,020 the raw materials is not as steep as it is for tools. 16 00:00:59,020 --> 00:01:03,610 So the change is larger for the tools cost than it is for the raw materials cost. 17 00:01:04,770 --> 00:01:07,160 I don't use lines very often. 18 00:01:07,160 --> 00:01:09,790 But when I do, I only use them for 19 00:01:09,790 --> 00:01:14,483 charts that have smaller time frames, and here's why. 20 00:01:14,483 --> 00:01:19,490 Look what happens when you add lines to a longer series, they kinda get lost. 21 00:01:19,490 --> 00:01:21,561 There is not as much quick takeaways and 22 00:01:21,561 --> 00:01:24,800 it really doesn't help tell a story much better. 23 00:01:24,800 --> 00:01:27,598 So again, you're gonna have to use your own judgement sometimes. 24 00:01:27,598 --> 00:01:32,200 But my recommendation will be to not go crazy with lines when you're working with 25 00:01:32,200 --> 00:01:33,427 larger time frames.