The bar chart illustrates the frequency of car trips used by men and women for different purposes in their daily life in a particular European city.
Overall, it is apparent that the highest number of men used cars to go to their offices, while most of the European women preferred to go shopping by means of car. On the other hand, it is also evident that both men and women got the least chance to go outside and had some food.
According to the graph, while 180 men took car trips for commuting to their workplaces, 130 women used cars to go to their offices. In the case of shopping, 10 more women take car trips but precisely 40 more men than women have to take their children to school by using cars.
In a European city, 65 men used their cars for entertainment purposes, while 50 women used their cars for the very purpose. In contrast, while a total of 45 women preferred to use the car to meet their friends (25) and eating outside (20), 10 men lack behind with similar objectives.
- The following appeared in a newspaper article about law firms in the city of Megalopolis In Megalopolis the number of law school graduates who went to work for larger corporate firms declined by 15 over the last three years whereas an increasing num 68
- The following appeared in a letter to the editor of a Batavia newspaper The department of agriculture in Batavia reports that the number of dairy farms throughout the country is now 25 percent greater than it was 10 years ago During this same time period 69
- The graph below shows the number of tourists visiting a particular Caribbean island between 2010 and 2017 Summarise the information by selecting and reporting the main features and make comparisons where relevant 67
- The chart below shows the results of a survey about people s coffee and tea buying and drinking habits in five Australian cities Summarise the information by selecting and reporting the main feature and make comparisons where relevant 67
- The charts below shows the value of one country s exports in various categories during 2015 and 2016 The table shows the percentage change in each category of exports in 2016 compared with 2015 Summarise the information by selecting and reporting the main 84
Grammar and spelling errors:
Line 4, column 125, 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.
...n used their cars for the very purpose. In contrast, while a total of 45 women pre...
^^
Transition Words or Phrases used:
also, but, if, so, while, in contrast, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 2.0 7.0 29% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 12.0 5.60731707317 214% => Less pronouns wanted
Preposition: 30.0 33.7804878049 89% => 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: 809.0 965.302439024 84% => OK
No of words: 184.0 196.424390244 94% => More content wanted.
Chars per words: 4.39673913043 4.92477711251 89% => OK
Fourth root words length: 3.68302321012 3.73543355544 99% => OK
Word Length SD: 2.34525196046 2.65546596893 88% => OK
Unique words: 97.0 106.607317073 91% => More unique words wanted.
Unique words percentage: 0.527173913043 0.547539520022 96% => OK
syllable_count: 246.6 283.868780488 87% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 1.0 4.33902439024 23% => OK
Subordination: 4.0 1.07073170732 374% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 7.0 8.94146341463 78% => 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: 26.0 22.4926829268 116% => OK
Sentence length SD: 16.1308425581 43.030603864 37% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 115.571428571 112.824112599 102% => OK
Words per sentence: 26.2857142857 22.9334400587 115% => OK
Discourse Markers: 8.0 5.23603664747 153% => OK
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 : 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: 0.123516314668 0.215688989381 57% => OK
Sentence topic coherence: 0.0770938393286 0.103423049105 75% => OK
Sentence topic coherence SD: 0.0530188822355 0.0843802449381 63% => OK
Paragraph topic coherence: 0.104104747449 0.15604864568 67% => OK
Paragraph topic coherence SD: 0.0556717505818 0.0819641961636 68% => OK
Essay readability:
automated_readability_index: 12.4 13.2329268293 94% => Automated_readability_index is low.
flesch_reading_ease: 70.47 61.2550243902 115% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 8.54 11.4140731707 75% => OK
dale_chall_readability_score: 7.33 8.06136585366 91% => OK
difficult_words: 28.0 40.7170731707 69% => More difficult words wanted.
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 12.4 10.9970731707 113% => OK
text_standard: 13.0 11.0658536585 117% => OK
What are above readability scores?
---------------------
Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.