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This graph is good because it shows how many people were involved in this survey (20 people) and shows the percents for how many people voted for which type of movie.

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This chart is misleading because the title says the jump is huge, yet the scale does not show the difference well. The bars look almost identical now, and do not show the large jump that was meant to be displayed.

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This graph is a misleading graph because it is not graphed correctly. From 7 mil to 9 mil it goes up by two. From 9 mil from 13.5 it goes up by 4.5 which is not correctly displayed in the graph. the same goes for 13.5-15. This shows that they are trying to look Obama look bad by showing a skyrocket of unemployment when in reality that's not how it happened. In short this graph is biased

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This graph is trustworthy because it shows more clear data and where they got the data from. There is more realistic data shown than the unemployment chart.The graph is not biased in anyway and shows trends in people who read the newspaper. The graph overall is much more precise than the unemployment chart

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Hannah Souronis                                                 Good Graph

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Hannah Souronis                                                 Good Graph

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This graph is accurate because it is well organized and easy to read. The axes are labeled clearly and the observer can see the exact amount of people that owns each type of pet. They can also compare the amounts easily because the sizes of the bars are symmetrical.

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The chart below is good because it accurately shows the difference in all the countries. The graph is scaled well. The graph is also very easy to read.

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Hannah Souronis              Misleading Graph

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Hannah Souronis              Misleading Graph

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This graph is misleading because the images make for unclear amounts on the y axis.  The observer is unable to see the exact ticket prices that each were due to the circles instead of bars. It is also misleading because the circles are different sizes, also making it difficult to read.

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This graph can be misleading because it does not say how many students were in the survey. There is no number given for the population, so it makes it difficult to understand how many students make up each percentage.