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.
Summarise the information by selecting and reporting the main features, and
make comparisons where relevant
The table illustrates the source of money for the police budget between 2017 and 2018 of one area in Britain, while the pie chart shows where the funds went.
Overall, the huge amount of budget came from the national goverment, while the less budget spends on technology over the period.
Firstly, the lagre amount of money came from national goverment is 175.5m in 2017, which increased significantly to 177.8m in 2018. Secondly, local taxes saw the lagrest climb from 91.2m to 102.3m. The lowest amount of budget came from other sources, with a rise from 38m to 38,5m in 2018. The police had a total budget of 304.7m, which rose to 318.6m in 2018.
The lagre amount of money spent on salaries, however it dropped from 75% to 69% by the next year. Spending on technology almost doubled from 8% to 14%, which still be the lowest rate in the given period. The amount of buldings and transport remain unchanged at 17%.
| 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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- Some people believe that professionals such as doctors and engineers should be required to work in the country where they did their training Others believe they should be free to work in another country if they wish Discuss both these views and give your 67
- The chart below gives information about how families in 1 country spent their weekly income in 1968 and in 2018
Grammar and spelling errors:
Line 1, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
The table illustrates the source of mone...
^^
Line 3, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... spends on technology over the period. Firstly, the lagre amount of money came ...
^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... 304.7m, which rose to 318.6m in 2018. The lagre amount of money spent on salar...
^^
Line 4, column 3, 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.
...04.7m, which rose to 318.6m in 2018. The lagre amount of money spent on salaries...
^^^
Transition Words or Phrases used:
first, firstly, however, if, second, secondly, so, still, while
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 : 2.0 6.8 29% => More conjunction wanted.
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 35.0 33.7804878049 104% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 760.0 965.302439024 79% => OK
No of words: 162.0 196.424390244 82% => More content wanted.
Chars per words: 4.69135802469 4.92477711251 95% => OK
Fourth root words length: 3.56762134501 3.73543355544 96% => OK
Word Length SD: 2.23224761877 2.65546596893 84% => OK
Unique words: 95.0 106.607317073 89% => More unique words wanted.
Unique words percentage: 0.586419753086 0.547539520022 107% => OK
syllable_count: 207.9 283.868780488 73% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 7.0 4.33902439024 161% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 1.0 3.36585365854 30% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 18.0 22.4926829268 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 31.1844373976 43.030603864 72% => OK
Chars per sentence: 84.4444444444 112.824112599 75% => OK
Words per sentence: 18.0 22.9334400587 78% => OK
Discourse Markers: 7.0 5.23603664747 134% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 4.0 1.69756097561 236% => Less language errors wanted.
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 2.0 1.13902439024 176% => 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: 0.265196056936 0.215688989381 123% => OK
Sentence topic coherence: 0.102478937316 0.103423049105 99% => OK
Sentence topic coherence SD: 0.119457499598 0.0843802449381 142% => OK
Paragraph topic coherence: 0.176530227445 0.15604864568 113% => OK
Paragraph topic coherence SD: 0.146815884042 0.0819641961636 179% => OK
Essay readability:
automated_readability_index: 9.7 13.2329268293 73% => Automated_readability_index is low.
flesch_reading_ease: 78.59 61.2550243902 128% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 6.8 10.3012195122 66% => OK
coleman_liau_index: 9.63 11.4140731707 84% => OK
dale_chall_readability_score: 7.16 8.06136585366 89% => OK
difficult_words: 27.0 40.7170731707 66% => More difficult words wanted.
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 9.2 10.9970731707 84% => OK
text_standard: 10.0 11.0658536585 90% => 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.