The graph shows the information about international conferences in three capital in 1980-2010.
A glance at the line graph provided illustrated the number of international conferences that were hosted in different cities during the period from 1980 to 2010.
Overall, it is clear that there was a considerable fluctuation in conferences over the period of 30 years. The figure of international conferences in city C changed more significantly than other two cities.
Between the 1980s and the 2000s, city C increased quickly in the number of international conferences and reach a peak of 35 conferences in the 2000s. The latter years of the graph, then, this number declined gradually to over 30 conferences.
While, both city A and city B are similar to the trend of changing international conferences. Within former 25 years, the number of the conferences in these 2 cities went up and down similarly. Until in the middle of the 2005s, there had a same number, about 27 conferences in both 2 cities. After that, there was followed by a period of steady fall with the figures of the conferences of both city A and city B in the final year of the graph.
- The charts illustrate the number of people who were affected by four types of noise pollution in day and night in cities and rural areas in 2007 92
- The graph shows the information about international conferences in three capital in 1980-2010. 67
- The diagram below shows how the Australian Bureau of Meteorology collects up-to-the-minute information on the weather in order to produce reliable forecasts. 61
- The graph below shows the proportion of the population aged 65 and over between 1940 and 2040 in three different countries.Summarise the information by selecting and reporting the main features and make comparisons where relevant.You should write at least 73
- The graph shows Underground Station passenger numbers in London.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 78
Transition Words or Phrases used:
if, similarly, then, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 6.0 5.60731707317 107% => OK
Preposition: 39.0 33.7804878049 115% => OK
Nominalization: 1.0 3.97073170732 25% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 879.0 965.302439024 91% => OK
No of words: 184.0 196.424390244 94% => More content wanted.
Chars per words: 4.77717391304 4.92477711251 97% => OK
Fourth root words length: 3.68302321012 3.73543355544 99% => OK
Word Length SD: 3.00357675092 2.65546596893 113% => OK
Unique words: 99.0 106.607317073 93% => More unique words wanted.
Unique words percentage: 0.538043478261 0.547539520022 98% => OK
syllable_count: 266.4 283.868780488 94% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 26.9393465968 43.030603864 63% => OK
Chars per sentence: 97.6666666667 112.824112599 87% => OK
Words per sentence: 20.4444444444 22.9334400587 89% => OK
Discourse Markers: 2.88888888889 5.23603664747 55% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.21786930169 0.215688989381 101% => OK
Sentence topic coherence: 0.095591019898 0.103423049105 92% => OK
Sentence topic coherence SD: 0.0565028681286 0.0843802449381 67% => OK
Paragraph topic coherence: 0.149912778961 0.15604864568 96% => OK
Paragraph topic coherence SD: 0.0490574219785 0.0819641961636 60% => OK
Essay readability:
automated_readability_index: 11.3 13.2329268293 85% => Automated_readability_index is low.
flesch_reading_ease: 68.1 61.2550243902 111% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 8.7 10.3012195122 84% => OK
coleman_liau_index: 10.44 11.4140731707 91% => OK
dale_chall_readability_score: 7.37 8.06136585366 91% => OK
difficult_words: 32.0 40.7170731707 79% => More difficult words wanted.
linsear_write_formula: 12.5 11.4329268293 109% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.