the line graphs show the differentce on income in five country between 1978 and 2008
The line graph illustrates the distinction of proportion in revenue of both genders: male and female in five countries between 1978 and 2008.
In general, it is clear that these was the minor decline of the different income of woman and man throughout 30-year research period in US, France, UK, Australia, while the figure of Japan fluctuating increase.
In 1978, Australia had the largest gap of revenue in both gender with around 48%. Although this figure tend to decreased during 30-year period, the income distinction of Australia continued higher than others during the end of the period with over 40%. The difference of income between woman and man in US was just under 20% in 1978. This figure continued steadily decreased over the research period and became the country had lowest gap of revenue in genders at only 17% in 2008.
The percentage of distinct gender income had similarly trend in France and UK. In 1987, this percentage different on income in France was about 33% compare with just under 29% of UK. After that, the figure of UK had minimally higher than this in France and at the end of the period both figures keep up with at 27%. These was an opposite in Japan. In spite of these was slightly decrease from 20% in 1987 to 17% in 1998, this figure rose dramatically at about 25% in 2008.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-07-12 | dorae | 73 | view |
| 2020-08-24 | anhnatss123 | 73 | view |
- the graph shows relative price changes for fresh fruits and vegetables suger and sweets and cabonated drinks between 1978 and 2009 in US 78
- the line graph shows the percentage of tourists to England who visited to four diferent attractions in Brighton 56
- the line graph shows the amount of money spend on books in Germany Italia France and Italia between 1989 and 2005 78
- the line graphs show the differentce on income in five country between 1978 and 2008 73
- the graph shows the consumtion of fish and some diferent kinds of meat in a Eropean country between 1979 and 2004 11
Grammar and spelling errors:
Line 3, column 20, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'had the largest'.
Suggestion: had the largest
...uctuating increase. In 1978, Australia had largest gap of revenue in gender with around 48...
^^^^^^^^^^^
Line 3, column 380, Rule ID: THE_SUPERLATIVE[2]
Message: A determiner is probably missing here: 'had the lowest'.
Suggestion: had the lowest
... research period and became the country had lowest gap of revenue in genders at only 17% i...
^^^^^^^^^^
Line 4, column 56, Rule ID: HAVE_PART_AGREEMENT[2]
Message: Possible agreement error -- use past participle here: 'trended'.
Suggestion: trended
...of distinct gender income had similarly trend in France and UK. In 1987, this percent...
^^^^^
Line 4, column 343, Rule ID: THIS_NNS[4]
Message: Did you mean 'this'?
Suggestion: This
...eriod both figures keep up with at 27%. These was an opposite in Japan. In spite of t...
^^^^^
Line 4, column 406, Rule ID: BEEN_PART_AGREEMENT[2]
Message: Consider using a past participle here: 'decreased'.
Suggestion: decreased
...n Japan. In spite of these was slightly decrease from 20% in 1987 to 17% in 1998, this f...
^^^^^^^^
Transition Words or Phrases used:
first, if, similarly, while, in general, in spite of
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 7.0 86% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 7.0 6.8 103% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 14.0 5.60731707317 250% => Less pronouns wanted
Preposition: 59.0 33.7804878049 175% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 1071.0 965.302439024 111% => OK
No of words: 228.0 196.424390244 116% => OK
Chars per words: 4.69736842105 4.92477711251 95% => OK
Fourth root words length: 3.88582923847 3.73543355544 104% => OK
Word Length SD: 2.39058424742 2.65546596893 90% => OK
Unique words: 114.0 106.607317073 107% => OK
Unique words percentage: 0.5 0.547539520022 91% => More unique words wanted or less content wanted.
syllable_count: 317.7 283.868780488 112% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 1.53170731707 392% => Less pronouns wanted as sentence beginning.
Article: 4.0 4.33902439024 92% => OK
Subordination: 3.0 1.07073170732 280% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 45.9016195541 43.030603864 107% => OK
Chars per sentence: 97.3636363636 112.824112599 86% => OK
Words per sentence: 20.7272727273 22.9334400587 90% => OK
Discourse Markers: 4.72727272727 5.23603664747 90% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 5.0 1.69756097561 295% => Less language errors wanted.
Sentences with positive sentiment : 1.0 3.70975609756 27% => More positive sentences wanted.
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 8.0 4.09268292683 195% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.170166908512 0.215688989381 79% => OK
Sentence topic coherence: 0.0797959763342 0.103423049105 77% => OK
Sentence topic coherence SD: 0.113295692435 0.0843802449381 134% => OK
Paragraph topic coherence: 0.150905907363 0.15604864568 97% => OK
Paragraph topic coherence SD: 0.151481785488 0.0819641961636 185% => OK
Essay readability:
automated_readability_index: 11.1 13.2329268293 84% => Automated_readability_index is low.
flesch_reading_ease: 68.1 61.2550243902 111% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.7 10.3012195122 84% => OK
coleman_liau_index: 9.98 11.4140731707 87% => OK
dale_chall_readability_score: 7.4 8.06136585366 92% => OK
difficult_words: 40.0 40.7170731707 98% => OK
linsear_write_formula: 9.0 11.4329268293 79% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
---------------------
Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
---------------------
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.