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 table and charts illustrate information on the police budget in the particular year 2017 and 2018 in a region of Britain. To be specific, the table demonstrates the resources of the budget and the charts show how was the money used.
As can be seen from the table, the budget came from three resources including national government, local taxes and other sources such as grants. In addition, National Government was the main resource of the budget. Besides, the most percentage of the budget was spent on paying salaries for officer as well as staff while the rate in technology was the least figure in both 2017 and 2018.
To begin with, National government increased amount of money which was invested in police budget from 175.5m to 177.8m whereas amount of money was contributed by local taxes rose by approximately 10m over 1 year since 2017. Moreover, a budget from other sources remained stable after 1 year from 2017.
On the other hand, payment for officer and staff decreased by 6% in 2018 and hold the top position in the categories in both year 2017 and 2018. The amount of money which was used for technological improvement went up from 8% to 14% while investing in constructing buildings and transport keep unchanged with 17% in 2017 and 2018.
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2024-03-29 | minhnhat2002 | 84 | view |
2024-03-29 | minhnhat2002 | 78 | view |
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2023-12-12 | Ahmad_off | 78 | view |
2023-12-12 | Ahmad_off | 78 | view |
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Grammar and spelling errors:
Line 5, column 119, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...d in police budget from 175.5m to 177.8m whereas amount of money was contributed ...
^^
Line 7, column 49, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ther hand, payment for officer and staff decreased by 6% in 2018 and hold the top...
^^
Transition Words or Phrases used:
besides, but, if, moreover, so, well, whereas, while, in addition, such as, as well as, to begin with, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 7.0 129% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 10.0 6.8 147% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 0.0 5.60731707317 0% => OK
Preposition: 40.0 33.7804878049 118% => 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: 1055.0 965.302439024 109% => OK
No of words: 218.0 196.424390244 111% => OK
Chars per words: 4.83944954128 4.92477711251 98% => OK
Fourth root words length: 3.84250218741 3.73543355544 103% => OK
Word Length SD: 2.60731701402 2.65546596893 98% => OK
Unique words: 111.0 106.607317073 104% => OK
Unique words percentage: 0.509174311927 0.547539520022 93% => More unique words wanted or less content wanted.
syllable_count: 300.6 283.868780488 106% => 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: 6.0 4.33902439024 138% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 47.5381588117 43.030603864 110% => OK
Chars per sentence: 117.222222222 112.824112599 104% => OK
Words per sentence: 24.2222222222 22.9334400587 106% => OK
Discourse Markers: 13.3333333333 5.23603664747 255% => Less transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => 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: 0.380110603939 0.215688989381 176% => OK
Sentence topic coherence: 0.169558593172 0.103423049105 164% => OK
Sentence topic coherence SD: 0.108911282733 0.0843802449381 129% => OK
Paragraph topic coherence: 0.251197419135 0.15604864568 161% => OK
Paragraph topic coherence SD: 0.152829000048 0.0819641961636 186% => OK
Essay readability:
automated_readability_index: 13.5 13.2329268293 102% => OK
flesch_reading_ease: 64.04 61.2550243902 105% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 11.09 11.4140731707 97% => OK
dale_chall_readability_score: 7.94 8.06136585366 98% => OK
difficult_words: 43.0 40.7170731707 106% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
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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.