ʾһFrom the picture (graph chart table pie bar) we know that D(ni)"/>
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From the picture (graph chart table pie bar) we know that D(ni)ݿ)On the one hand the left/first picture tells us that rһDһ/һă(ni))On the other hand (the right/second)picture informs us that rD/ă(ni))It can easily be seen that ʾD/Ԣ)
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As is vividly shown/described/depicted in the cartoon/picture D(ni)ݿ)In the first picture D/һ(ni)һtϰ벿)As is shown in the second drawing/picture D/(ni)ݣһtһ°벿)It is safe to draw the conclusion that ʾԢ⣬}ؑ(yng)}}؏(f))
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Judging from the pictures we can clearly infer that the drawer’s intention is }) (U(ku)չ)For one thing/First of all/Firstly һ) For another/Besides/Moreover/In addition/Secondly ڶ) Thus/As a result/Therefore/Finally Y(ji))
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To begin with the purpose of the drawings is to show us that })yet the symbolic meanings subtly conveyed should be taken more seriously. (U(ku)չ)is naturally associated with to be specific һ) Besides/Moreover/In addition ڶ)As a result/Therefore Y(ji))
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There are many reasons responsible for this phenomenon/case/instance and the following are the typical ones. The first reason is that һ) The second reason is that ɶ) The third reason is that/A case in point is that/The typical example is that )
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There are many reasons to explain/explaining the effect/phenomenon/case/instance. The most contributing one is/the main reason is no other than һ) What is more ɶ) ()also play a role in this case.
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Considering all these reasons/this situation/Confronted with such a problem I think we need to take some positive measures. On the one hand /hһ) On the other hand it is necessary for us to /h) Thus/Only in this way can Y(ji)Լ^c/h/B(ti))
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In order to improve the situation/To sum up the above argument/Confronted with such an issue/problem we should find several solutions to it/need to take some positive measures. On the one hand/For one thing we should /hһ) On the other hand/For another /h) Therefore/Thus/Only in this way can 係Y(ji))
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B(yng)ՓJ(rn)֪ϵy(tng)W(xu)(x)R˼x܌W(xu)ν(jng)(j)W(xu)ƌW(xu)xȺă(ni)vʷl(f)չҎ(gu)A
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оԇyȴͬȌW(xu)TȌW(xu)ʽԇy^mˆTI(y)Tʿȫƣcȫͬym^(qing)W(xu)(x)͕rg...
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