The graph below shows the pollution levels in London between 1600 and 2000.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The given line graph illustrates the information from the research into the air pollution in london from latter-half sixteenth century to 2000. The pollution levels was measured by the amount of sulphur dioxide and smoke per one cubic metre.
Overall, according to the data, london faced a severe issue of air pollution during the terms of 1700-1900. However, the emissions were sharply reduced during nineteenth century.
To be specific, before seventeenth century, sulphur dioxide in the atmosphere of london steadily increased from a tiny amount to nearly 750 micrograms. The figure then fluctuated with plateau around 750 micrograms in the next two hundred years, especially reached the highest peak at nearly 1000 micrograms per cubic metre in 1850. After that, this type of emission witnessed a rapid fall and nearly disappeared in the end of twentieth century.
Turning to the other competitor, the amount of smoke experienced a gradual climbed during 1700-1900 periods as well. Despite of that, this figure was just two-third lower than its rival over most of the period taken research. Before nearly wiped out in the atmosphere in the late 20th century, this amount of smoke reach its highest peak at just under 500 micrograms in 1900 and fluctuated then fall in the following years.
- The chart below gives information about the most common sports played in New Zealand in 2002.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 61
- The chart below gives information about the most common sports played in New Zealand in 2002.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 61
- The graphs below provide information on global population figures and figures for urban populations in different world regions. the provided bar chart illustrates the differences between the population of wealthy nations and developing nations during the 84
- The chart below gives information about Someland's main exports in 2005, 2015, and future projections for 2025.Summarise the information by selecting and reporting the main features, and make comparisons where relevant. 78
- The charts show world pineapple exports by the top three pineapple producing countries in 2009 and 2019 and a breakdown of the cost to the consumer of each pineapple in 2019 Summarise the information by selecting and reporting the main features and make c 78
Grammar and spelling errors:
Line 19, column 47, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...g to the other competitor, the amount of smoke experienced a gradual climbed duri...
^^
Transition Words or Phrases used:
however, if, then, third, well
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 3.0 6.8 44% => More conjunction wanted.
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 7.0 5.60731707317 125% => Less pronouns wanted
Preposition: 43.0 33.7804878049 127% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1108.0 965.302439024 115% => OK
No of words: 209.0 196.424390244 106% => OK
Chars per words: 5.3014354067 4.92477711251 108% => OK
Fourth root words length: 3.80221413058 3.73543355544 102% => OK
Word Length SD: 2.62833205525 2.65546596893 99% => OK
Unique words: 123.0 106.607317073 115% => OK
Unique words percentage: 0.588516746411 0.547539520022 107% => OK
syllable_count: 322.2 283.868780488 114% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 3.0 1.07073170732 280% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 36.9579490773 43.030603864 86% => OK
Chars per sentence: 110.8 112.824112599 98% => OK
Words per sentence: 20.9 22.9334400587 91% => OK
Discourse Markers: 3.0 5.23603664747 57% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 3.0 1.13902439024 263% => Less 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: 0.0748626076797 0.215688989381 35% => OK
Sentence topic coherence: 0.0322802782555 0.103423049105 31% => OK
Sentence topic coherence SD: 0.0487540150377 0.0843802449381 58% => OK
Paragraph topic coherence: 0.0577448495311 0.15604864568 37% => OK
Paragraph topic coherence SD: 0.0649610809563 0.0819641961636 79% => OK
Essay readability:
automated_readability_index: 14.0 13.2329268293 106% => OK
flesch_reading_ease: 59.64 61.2550243902 97% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 13.46 11.4140731707 118% => OK
dale_chall_readability_score: 8.93 8.06136585366 111% => OK
difficult_words: 57.0 40.7170731707 140% => OK
linsear_write_formula: 7.5 11.4329268293 66% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 10.0 11.0658536585 90% => OK
What are above readability scores?
---------------------
It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 11.2359550562 out of 100
Scores by essay e-grader: 1.0 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.