![]() Divided bar charts split up each rectangular bar to break the information down further. ![]() Bar chartsīar charts show grouped data as rectangular bars, eg the number of tourists visiting a resort each month. This graph shows that in the post-industrial era approximately 11% of employed people work in primary industries, 31% in secondary industries, 54% in tertiary industries and 4% work in quaternary industries. The x-axis shows time or distance.Ī line graph could be used to show the changes in a country's employment structure over time. Line graphs show how data changes over time or space. Way of representing the data.Exploring a range of graphs and their uses Line graphs So this was a littleīit- or actually a very, very, not-so-honest Of people prefer, Thrill and that the trend is up. The gate, a lot of people prefer, or a comparable amount Start at 0% and they just have a larger scale. Many people really prefer, how large 80% or They're representingĬloser to 15% or 16%. Is downward- a lot more people prefer YummyĬola to Thrill Cola. Same scale, on the same graph, then it would have stillīeen pretty obvious that- even though the trend This graph all the way down to- so this would Have to extend this graph all the way down. And actually, thisĮven be able to plot Thrill Soda on this graphīecause they started this graph right over here at 50%. Same graph Thrill Soda, let's try that out. That, that wouldn't have painted a very good To do, would have actually been to plot them The more genuine thing to do, or the more honest thing They used this scale that went from 0 to 30 as Trick in the book when plotting line graphs. Is that it's only because the scale is distorted. Is this an upward trend, but it's above this Tempted to compare these and to say, look, not only People who prefer Thrill Soda, but the way they This, you say not only is there an increasing trend of Here is the way that they've plotted the scales. See a declining trend in the percentage of people Now what's misleadingĪt these two graphs without actually lookingĪt the scales over here, they'll see two things. Soda, so over here in 2006, 12% preferred Thrill Soda. Look at this chart, Percentage of People who Prefer Thrill Then it keeps going to thenħ7%, then 73%, then 73% to 68%. Over here, in 2006, sure enough, 80% liked Yummy Cola. But then they said theĪdvertising company created the following two graphs People liked Yummy Cola than Thrill Cola, actuallyĭefinitely has something. Just from here you see that many, many more Only 12% liked Thrill, and 8% didn't like either one Percentage of respondents who preferred Thrill Percentage of respondents who preferred Yummy Cola, However, as you know your data very well, you might not recognize that you display your data in a misleading way, as for you all the information in it is obvious, whereas for other people, it is not and they will therefore more likely be misled by some aspects of the graph you choose.Ī marketing company to help them promote theirīrand against Yummy Cola. This way you may choose because of convenience, because you want to emphasize a certain point or for any other reason without malintent. If you present your data about, say a project to somebody, you choose a certain way to display it. Or, in advertisement, to convince people of buying a product, Basically whenever it's about selling the data for some kind of benefit, this might happen.Ģ. For example when you want convince people of the benefits/downsides of a certain policy, the importance of some scientific results or the success of a buisness strategy. They are not exactly lying about the facts in that case, but present them in a very biased way. If people want to convince others, they can argument for their cause using data which not exactly support their cause, but look as if they did if presented in the 'right' way.
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