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 and the two pie charts demonstrate data on police expenditures in the two years 2017 and 2018 in a specific region in Britain. While the given table shows the origin of money, the charts illustrate the ways it was utilized.
Overall, it is apparent that the total budget in 2018 from three different sources increased slightly and the investment from the national government of this region was the highest. On the other hand, in the pie charts, spending on salaries for both officers and staff was much higher than on technology, and buildings and transport.
From the table, the national administration invested so much money in the police budget which was over 175 million euros and 177 million euros in 2017 and 2018, respectively. These two numbers were nearly double those in financial support from local taxes. Moreover, the police budget also received money from other sources, such as grants, which were up to 38 million euros in 2017 and about 38.5 million euros in 2018. In short, in both years, the total numbers were over 300 million euros.
As can be seen from the two pie graphs, there were 75% spending of the police budget on salaries in 2017. However, it went down by 6% in 2018 but was still the most spending in the year. Unlike expenditures in buildings and transport which were unchanged after a year, the amount of money used for technology increased in 2018 from 8% to 14% but its rank was still in the last position.
| 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 |
- The graph below shows the number of shops that closed and the number of new shops that opened in one country between 2011 and 2018 Summarise the information by selecting and reporting the main features and make comparisons where relevant 89
- Technologies have changed the way children spend their free time Do you think the advantages outweigh the disadvantages 73
- Some students choose to work or travel after leaving school and before going to university Many people however say that working experience is more useful in adult life than travel Do you agree or disagree with this statement Give reasons for your answer a 61
- The diagram below shows the process for recycling plastic bottles Summarize the information by selecting and reporting the main features and make comparisons where relevant 78
- Topic in the attached picture 11
Transition Words or Phrases used:
also, but, however, if, moreover, so, still, while, in short, such as, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 7.0 186% => OK
Auxiliary verbs: 1.0 1.00243902439 100% => OK
Conjunction : 12.0 6.8 176% => OK
Relative clauses : 4.0 3.15609756098 127% => OK
Pronoun: 8.0 5.60731707317 143% => Less pronouns wanted
Preposition: 43.0 33.7804878049 127% => OK
Nominalization: 4.0 3.97073170732 101% => OK
Performance on vocabulary words:
No of characters: 1202.0 965.302439024 125% => OK
No of words: 254.0 196.424390244 129% => OK
Chars per words: 4.73228346457 4.92477711251 96% => OK
Fourth root words length: 3.99216450694 3.73543355544 107% => OK
Word Length SD: 2.43761520424 2.65546596893 92% => OK
Unique words: 132.0 106.607317073 124% => OK
Unique words percentage: 0.51968503937 0.547539520022 95% => More unique words wanted or less content wanted.
syllable_count: 344.7 283.868780488 121% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 23.0 22.4926829268 102% => OK
Sentence length SD: 43.7165929124 43.030603864 102% => OK
Chars per sentence: 109.272727273 112.824112599 97% => OK
Words per sentence: 23.0909090909 22.9334400587 101% => OK
Discourse Markers: 8.0 5.23603664747 153% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => 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: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.245786586781 0.215688989381 114% => OK
Sentence topic coherence: 0.0983042400178 0.103423049105 95% => OK
Sentence topic coherence SD: 0.06873554756 0.0843802449381 81% => OK
Paragraph topic coherence: 0.162062445902 0.15604864568 104% => OK
Paragraph topic coherence SD: 0.0819274469955 0.0819641961636 100% => OK
Essay readability:
automated_readability_index: 12.4 13.2329268293 94% => Automated_readability_index is low.
flesch_reading_ease: 65.05 61.2550243902 106% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 9.9 10.3012195122 96% => OK
coleman_liau_index: 10.45 11.4140731707 92% => OK
dale_chall_readability_score: 7.76 8.06136585366 96% => OK
difficult_words: 48.0 40.7170731707 118% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 11.2 10.9970731707 102% => 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.