Misleading Graphs

Graphs give a optical representation that enables readers to analyze and interpret entropy more easily than they could simply by looking at tours. However, in enamourly draw represents can misrepresent the data and preface the reader to false conclusions (Bluman, 2009, p. 76). Some methods utilize by interpretical record makers to mislead consumers argon truncated bloc of rotation starting points and exploitation two dimensional pictures rather than wide turn backs or lines. Problems The represent we chose as our project is flawed in some(prenominal) ways.The chart has no human action, no outmatch on the vertical axis, and no labels for the horizontal axis. There is no way to notice what type of data is being correspond other than iodins of some smorgasbord being sold. Whether these ar single units of something, single rooms rented, Kraft single give up slices, or something else entirely is uncertain. The missing labels on the horizontal axis also clean the vie wer from knowing exactly how the data is being tracked.The columns certainly look corresponding they represent familys but it could be something else entirely. Another large issue with this graph is that the two dimensional viewpoint makes it expect as if the 1995 column is far taller than the lodge of the data when in fact it is the a analogous height as the 1997 column. Effect on Users When the graph is misleading, it becomes hard for the reader to accurately understand what the graph is trying to draw.The largest difficulty with this graph is the lack of information provided round what is being studied. There is no human action provided to give the reader a global idea of what information is being shown. The graph fails to show the frequency amount of the number of singles being sold, or even what the single is exactly. The fact that at that place is little labeling on the vertical axis and none on the horizontal axis can be misleading and could curtilage the users to think that the graph is representing something different than it rightfully is.The graph can also be misleading to it users because of the fact that it is set up as a two dimensional graph. When looking at the graph the nigher the bars are the larger they are made to appear. So while it looks like the first bar is the tallest it is no taller than the tercet bar. Corrections To correct our chosen graph we first start by appointing an appropriate product for the number of singles sold, and in choosing our product it will also cooperate us to decide our chart title which is Annual CD singles gross revenue.The shield on the vertical axis withdraws the year of sales, and the horizontal axis contains the amount of sales or the number of CD singles sold. And the graph has changed to a simple bar graph for better reader understanding. These corrections make the graph more informational and contain a better frequency than before. And the labeling of both the horizontal and vertical a xis helps the graph to better represent the product to the user. And ever-changing to the bar graph will show the graphs strongest and weakest years of sales.