The bar chart shows Co2 emissions for different forms of transport in the European Union. And European Union funds being spent on different forms of transportation.
The graph compare Co2 emissions for different forms of transport in the European Union and the pie charts illustrate forms of transportation. Overall as cen be seen they is not correlation between Co2 bar chart and money spent pie chat, event both of them showing the same theme, which is transportation, but still they have not correlation. In the bar charts they got information that produce much or less co2 emission and when they see on pie charts, they can will see which transport infrastructure which got more attention from European union and than the answer is roads.
In the graphs charts showed coaches is co2 emission a small percentage roughly 45%, then maritime and rail got percent precisely in 50%, while air transport the highest percentage rather than buses and passenger cars because the buses still in 70%, passenger cars in around 130% and then the air on 375% the amount is very significant between another co2 emissions.
In the pie charts, the roads in dominate in finish cost in European unio, the roads still in 53%, internet modal,inland waterway and airports a very small proportion only 1% and unknown, ports are slightly higher it on 2%, railways 31% and public transportation still in 10%.
Post date | Users | Rates | Link to Content |
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2019-03-24 | Afiotria Intan Wulansari | 78 | view |
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- The bar charts shows co2 emissions for different forms of transport in the European Union and European Union funds being spent on different forms of transportation. 78
Grammar and spelling errors:
Line 1, column 171, Rule ID: NON3PRS_VERB[2]
Message: The pronoun 'they' must be used with a non-third-person form of a verb: 'be'
Suggestion: be
...sportation. Overall as cen be seen they is not correlation between Co2 bar chart a...
^^
Line 1, column 552, Rule ID: AND_THAN[1]
Message: Did you mean 'then'?
Suggestion: then
... more attention from European union and than the answer is roads. In the graphs cha...
^^^^
Line 3, column 1, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...ificant between another co2 emissions. In the pie charts, the roads in dominate i...
^^
Line 3, column 113, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , inland
..., the roads still in 53%, internet modal,inland waterway and airports a very small prop...
^^^^^^^
Transition Words or Phrases used:
but, if, still, then, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 7.0 100% => OK
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 12.0 6.8 176% => OK
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 22.0 33.7804878049 65% => OK
Nominalization: 8.0 3.97073170732 201% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1017.0 965.302439024 105% => OK
No of words: 206.0 196.424390244 105% => OK
Chars per words: 4.93689320388 4.92477711251 100% => OK
Fourth root words length: 3.78849575616 3.73543355544 101% => OK
Word Length SD: 2.73914192448 2.65546596893 103% => OK
Unique words: 122.0 106.607317073 114% => OK
Unique words percentage: 0.592233009709 0.547539520022 108% => OK
syllable_count: 286.2 283.868780488 101% => 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: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 5.0 8.94146341463 56% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 41.0 22.4926829268 182% => The Avg. Sentence Length is relatively long.
Sentence length SD: 75.2712428488 43.030603864 175% => OK
Chars per sentence: 203.4 112.824112599 180% => OK
Words per sentence: 41.2 22.9334400587 180% => OK
Discourse Markers: 5.4 5.23603664747 103% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 4.0 1.69756097561 236% => Less language errors wanted.
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
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: 0.349440690403 0.215688989381 162% => OK
Sentence topic coherence: 0.212206605304 0.103423049105 205% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.207539624345 0.0843802449381 246% => The coherence between sentences is low.
Paragraph topic coherence: 0.182266512684 0.15604864568 117% => OK
Paragraph topic coherence SD: 0.162022106264 0.0819641961636 198% => OK
Essay readability:
automated_readability_index: 22.4 13.2329268293 169% => OK
flesch_reading_ease: 46.78 61.2550243902 76% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 16.9 10.3012195122 164% => OK
coleman_liau_index: 12.26 11.4140731707 107% => OK
dale_chall_readability_score: 8.74 8.06136585366 108% => OK
difficult_words: 40.0 40.7170731707 98% => OK
linsear_write_formula: 19.0 11.4329268293 166% => OK
gunning_fog: 18.4 10.9970731707 167% => OK
text_standard: 19.0 11.0658536585 172% => OK
What are above readability scores?
---------------------
Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 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.