The bar chart shows the number of small businesses by types across 4 regions in England in 2016.
The bar chart illustrates how many small businesses in three different types and location in England in the year 2016.
Overall, it is clear that the number of self employed businesses accounted for the vast major in each region at that time .By contrast ,limited companies just took a negligible amount.
The number of individual companies in south east had highest number of small businesses ,closed to 600 companies ,compared with that of other places in England just between 400 and 500 companies .Furthermore ,partnership businesses in south east also was highest ,stood at 100 businesses ,while there was under 100 companies in the remaining regions or even in north east ,there was around 50 companies in this term .Limited companies had lowest number in businesses ,around 50 companies in 4 regions.
Grammar and spelling errors:
Line 2, column 122, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...e vast major in each region at that time .By contrast ,limited companies just took...
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Line 2, column 123, Rule ID: SENTENCE_WHITESPACE
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Suggestion: By
...vast major in each region at that time .By contrast ,limited companies just took a...
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Line 2, column 134, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: ,
...in each region at that time .By contrast ,limited companies just took a negligible...
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Line 3, column 50, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'had the highest'.
Suggestion: had the highest
...r of individual companies in south east had highest number of small businesses ,closed to 6...
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Line 3, column 88, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...t had highest number of small businesses ,closed to 600 companies ,compared with t...
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Line 3, column 113, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...mall businesses ,closed to 600 companies ,compared with that of other places in En...
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Line 3, column 195, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...gland just between 400 and 500 companies .Furthermore ,partnership businesses in s...
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Suggestion: Furthermore
...and just between 400 and 500 companies .Furthermore ,partnership businesses in south east a...
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Line 3, column 207, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...tween 400 and 500 companies .Furthermore ,partnership businesses in south east als...
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Line 3, column 262, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...usinesses in south east also was highest ,stood at 100 businesses ,while there was...
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Line 3, column 287, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...lso was highest ,stood at 100 businesses ,while there was under 100 companies in t...
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Line 3, column 371, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... remaining regions or even in north east ,there was around 50 companies in this te...
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Line 3, column 415, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ere was around 50 companies in this term .Limited companies had lowest number in b...
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Line 3, column 417, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Limited
...e was around 50 companies in this term .Limited companies had lowest number in business...
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Line 3, column 435, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'had the lowest'.
Suggestion: had the lowest
...mpanies in this term .Limited companies had lowest number in businesses ,around 50 compani...
^^^^^^^^^^
Line 3, column 466, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ompanies had lowest number in businesses ,around 50 companies in 4 regions.
^^
Transition Words or Phrases used:
also, furthermore, if, so, while
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 : 3.0 3.15609756098 95% => OK
Pronoun: 5.0 5.60731707317 89% => OK
Preposition: 25.0 33.7804878049 74% => 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: 678.0 965.302439024 70% => OK
No of words: 132.0 196.424390244 67% => More content wanted.
Chars per words: 5.13636363636 4.92477711251 104% => OK
Fourth root words length: 3.38956122427 3.73543355544 91% => OK
Word Length SD: 2.73932522038 2.65546596893 103% => OK
Unique words: 82.0 106.607317073 77% => More unique words wanted.
Unique words percentage: 0.621212121212 0.547539520022 113% => OK
syllable_count: 196.2 283.868780488 69% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 2.0 4.33902439024 46% => OK
Subordination: 1.0 1.07073170732 93% => 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: 3.0 8.94146341463 34% => 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: 44.0 22.4926829268 196% => The Avg. Sentence Length is relatively long.
Sentence length SD: 167.177218012 43.030603864 389% => The lengths of sentences changed so frequently.
Chars per sentence: 226.0 112.824112599 200% => Less chars_per_sentence wanted.
Words per sentence: 44.0 22.9334400587 192% => OK
Discourse Markers: 10.6666666667 5.23603664747 204% => Less transition words/phrases wanted.
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 16.0 1.69756097561 943% => 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: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.280715347828 0.215688989381 130% => OK
Sentence topic coherence: 0.218925152761 0.103423049105 212% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.1273271327 0.0843802449381 151% => OK
Paragraph topic coherence: 0.218925152761 0.15604864568 140% => OK
Paragraph topic coherence SD: 0.1273271327 0.0819641961636 155% => OK
Essay readability:
automated_readability_index: 24.8 13.2329268293 187% => OK
flesch_reading_ease: 35.28 61.2550243902 58% => Flesch_reading_ease is low.
smog_index: 13.0 6.51609756098 200% => OK
flesch_kincaid_grade: 19.3 10.3012195122 187% => OK
coleman_liau_index: 13.42 11.4140731707 118% => OK
dale_chall_readability_score: 9.17 8.06136585366 114% => OK
difficult_words: 28.0 40.7170731707 69% => More difficult words wanted.
linsear_write_formula: 19.5 11.4329268293 171% => OK
gunning_fog: 19.6 10.9970731707 178% => OK
text_standard: 20.0 11.0658536585 181% => OK
What are above readability scores?
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More content wanted.
Minimum 150 words wanted.
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.