The graph below shows UK acid rain emissions, measured in millions of tonnes, from four different sectors between 1990 and 2007.
The line graph compares four sectors in terms of the amount of acid rain emissions that they produced over a period of 17 years in the UK.
It is clear that the total amount of acid rain emissions in the UK fell considerably between 1990 and 2007. The most dramatic decrease was seen in the electricity, gas and water supply sector.
In 1990, around 3.3 million tonnes of acid rain emissions came from the electricity, gas and water sector. The transport and communication sector was responsible for about 0.7 million tonnes of emissions, while the domestic sector produced around 0.6 million tonnes. Just over 2 million tonnes of acid rain gases came from other industries.
Emissions from electricity, gas and water supply fell dramatically to only 0.5 million tonnes in 2007, a drop of almost 3 million tonnes. While acid rain gases from the domestic sector and other industries fell gradually, the transport sector saw a small increase in emissions, reaching a peak of 1 million tonnes in 2005.
- The best way to reduce youth crimes is to educate their parents with parental skills. To what extent you agree or disagree? 67
- In many countries schools have severe problems with student behavior.What do you think are the causes of this?What solutions can you suggest? 61
- In many societies, elderly people often live in retirement homes. This is not appropriate because families should always care for their ageing members. Do you agree or disagree? 61
- Nowadays animal experiments are widely used to develop new medicines and to test the safety of other products. Some people argue that these experiments should be banned because it is morally wrong to cause animals to suffer, while others are in favour of 89
- People living in large cities today face many problems in their everyday life. What are these problems? Should governments encourage people to move to smaller regional towns 84
Transition Words or Phrases used:
while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 4.0 5.60731707317 71% => OK
Preposition: 28.0 33.7804878049 83% => 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: 835.0 965.302439024 87% => OK
No of words: 169.0 196.424390244 86% => More content wanted.
Chars per words: 4.94082840237 4.92477711251 100% => OK
Fourth root words length: 3.60555127546 3.73543355544 97% => OK
Word Length SD: 2.65142904445 2.65546596893 100% => OK
Unique words: 84.0 106.607317073 79% => More unique words wanted.
Unique words percentage: 0.497041420118 0.547539520022 91% => More unique words wanted or less content wanted.
syllable_count: 244.8 283.868780488 86% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 35.3588744165 43.030603864 82% => OK
Chars per sentence: 104.375 112.824112599 93% => OK
Words per sentence: 21.125 22.9334400587 92% => OK
Discourse Markers: 0.625 5.23603664747 12% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 4.0 4.09268292683 98% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.400630788546 0.215688989381 186% => OK
Sentence topic coherence: 0.192112053834 0.103423049105 186% => OK
Sentence topic coherence SD: 0.0660858269314 0.0843802449381 78% => OK
Paragraph topic coherence: 0.250959653264 0.15604864568 161% => OK
Paragraph topic coherence SD: 0.0340577799488 0.0819641961636 42% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 12.4 13.2329268293 94% => Automated_readability_index is low.
flesch_reading_ease: 67.08 61.2550243902 110% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.1 10.3012195122 88% => OK
coleman_liau_index: 11.37 11.4140731707 100% => OK
dale_chall_readability_score: 7.48 8.06136585366 93% => OK
difficult_words: 30.0 40.7170731707 74% => More difficult words wanted.
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.4 10.9970731707 95% => 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.