The table and charts below give information on the police budget for 2017 and 2018 in one area of Britain. The table shows where the money came from and the charts show how it was distributed.
The given graphs provide information on the police’s financial plan for 2017 and 2018 in one specific area of Britain. The table illustrates sources of the money, while the chart presents how much was spent on salaries, technology, buildings and transport.
In general, the chart shows the majority of the police budget was from National Government and Local Taxes in 2017 and 2018. According to the two pie charts, spending money on salaries took the most percentage of the police expenses in both of the two years.
In 2017 and 2018, the police budget witnessed a moderate increase in collecting money from the three mentioned sources including National Government, Local Taxes and other sources, from 304,7 million to 318,6 million in total. To be more specific, the National Government was the source that greatly contributed to the police budget, at 175.5 million in 2017 and slightly rose to 177.8 million one year later. Considered as the second contribution, the amount of money from Local Taxes saw a considerable increase by 11.1 million, from 91.2 million to 102.3 million. The figures for other sources were the lowest and also saw a smallest gap in two years, 38 million in 2017 and 38.5 million in 2018.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-03-29 | minhnhat2002 | 84 | view |
| 2024-03-29 | minhnhat2002 | 78 | view |
| 2024-03-09 | minhnhat2002 | 73 | view |
| 2023-12-12 | Ahmad_off | 78 | view |
| 2023-12-12 | Ahmad_off | 78 | view |
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- The table and charts below give information on the police budget for 2017 and 2018 in one area of Britain The table shows where the money came from and the charts show how it was distributed 73
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Grammar and spelling errors:
Line 5, column 627, Rule ID: THE_SUPERLATIVE[1]
Message: Use 'the' with the superlative.
Suggestion: the
...er sources were the lowest and also saw a smallest gap in two years, 38 million i...
^
Transition Words or Phrases used:
also, but, if, second, so, while, in general
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 9.0 6.8 132% => OK
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 33.0 33.7804878049 98% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 1024.0 965.302439024 106% => OK
No of words: 204.0 196.424390244 104% => OK
Chars per words: 5.01960784314 4.92477711251 102% => OK
Fourth root words length: 3.77926670891 3.73543355544 101% => OK
Word Length SD: 2.59696611208 2.65546596893 98% => OK
Unique words: 112.0 106.607317073 105% => OK
Unique words percentage: 0.549019607843 0.547539520022 100% => OK
syllable_count: 290.7 283.868780488 102% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 7.0 3.36585365854 208% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 25.0 22.4926829268 111% => OK
Sentence length SD: 33.8775368054 43.030603864 79% => OK
Chars per sentence: 128.0 112.824112599 113% => OK
Words per sentence: 25.5 22.9334400587 111% => OK
Discourse Markers: 5.5 5.23603664747 105% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 1.0 1.69756097561 59% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.316519306496 0.215688989381 147% => OK
Sentence topic coherence: 0.148908621928 0.103423049105 144% => OK
Sentence topic coherence SD: 0.0968329419951 0.0843802449381 115% => OK
Paragraph topic coherence: 0.24393141898 0.15604864568 156% => OK
Paragraph topic coherence SD: 0.0888724244682 0.0819641961636 108% => OK
Essay readability:
automated_readability_index: 15.0 13.2329268293 113% => OK
flesch_reading_ease: 63.02 61.2550243902 103% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 12.13 11.4140731707 106% => OK
dale_chall_readability_score: 8.75 8.06136585366 109% => OK
difficult_words: 50.0 40.7170731707 123% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 12.0 10.9970731707 109% => 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
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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.