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.
Write at least 150 words.
The table depicts the money sourses from the period between 2017 and 2018, while the pie charts demonstrate the percentage of budget spent in categorically.
Overall, the table specify that the total money came from distinct sources in 2018 was higher than in 2017. In addition, the pie charts showed that both charts have the similar pattern of the budget distribution in 2017 and 2018.
On the one hand, the table illustrate that the amount of money came from national government registered the highest number in 2017 and 2018, at 175.5 and 177.8 million pounds respectively. However, the other sources for instance: grants given the lowest data, compared to other sources in both years of 2017 and 2018, at 38 and 38 million pounds, respectively. The figure for local taxes was witnessed a steadily increase from 91.2 million pounds in 2017 to 102. million pounds in 2018.
On the other hand, there was a resemblance pattern between two years of 2017 and 2018. The police budget was likely to be spent on officers and staff's salary from the given time period between 2017 and 2018. In constrast, the spending on technology was recorded the lowest number, at 8% and 14% in 2017 and 2018. However, the budget spent for buildings and transports in 2017 and 20188 were seen to have the same proportion, with just about 17%.
Post date | Users | Rates | Link to Content |
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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 chart below shows the annual number of rental and sales in various formats of films from a particular store between 2002 and 2011 Summarize the information by selectin and reporting the main features and make comparisons where relevant 67
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Grammar and spelling errors:
Line 5, column 403, Rule ID: A_RB_NN[1]
Message: You used an adverb ('steadily') instead an adjective, or a noun ('increase') instead of another adjective.
...he figure for local taxes was witnessed a steadily increase from 91.2 million pounds in 2017 to 102...
^^^^^^^^^^^^^^^^^^^
Line 5, column 464, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Million
...rom 91.2 million pounds in 2017 to 102. million pounds in 2018. On the other hand, t...
^^^^^^^
Line 5, column 464, Rule ID: NODT_DOZEN[1]
Message: Use simply: 'a million'.
Suggestion: a million
...rom 91.2 million pounds in 2017 to 102. million pounds in 2018. On the other hand, t...
^^^^^^^
Transition Words or Phrases used:
but, however, if, so, while, for instance, in addition, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 7.0 100% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 13.0 6.8 191% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 38.0 33.7804878049 112% => OK
Nominalization: 6.0 3.97073170732 151% => OK
Performance on vocabulary words:
No of characters: 1105.0 965.302439024 114% => OK
No of words: 227.0 196.424390244 116% => OK
Chars per words: 4.86784140969 4.92477711251 99% => OK
Fourth root words length: 3.88156143495 3.73543355544 104% => OK
Word Length SD: 2.43888206036 2.65546596893 92% => OK
Unique words: 107.0 106.607317073 100% => OK
Unique words percentage: 0.471365638767 0.547539520022 86% => More unique words wanted or less content wanted.
syllable_count: 297.9 283.868780488 105% => 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: 9.0 4.33902439024 207% => Less articles wanted as sentence beginning.
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 8.0 3.36585365854 238% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 42.646538813 43.030603864 99% => OK
Chars per sentence: 100.454545455 112.824112599 89% => OK
Words per sentence: 20.6363636364 22.9334400587 90% => OK
Discourse Markers: 6.63636363636 5.23603664747 127% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 3.0 1.69756097561 177% => OK
Sentences with positive sentiment : 4.0 3.70975609756 108% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.313938536916 0.215688989381 146% => OK
Sentence topic coherence: 0.132025842676 0.103423049105 128% => OK
Sentence topic coherence SD: 0.074287811816 0.0843802449381 88% => OK
Paragraph topic coherence: 0.222821797524 0.15604864568 143% => OK
Paragraph topic coherence SD: 0.0819321375922 0.0819641961636 100% => OK
Essay readability:
automated_readability_index: 11.8 13.2329268293 89% => Automated_readability_index is low.
flesch_reading_ease: 76.56 61.2550243902 125% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.6 10.3012195122 74% => OK
coleman_liau_index: 10.97 11.4140731707 96% => OK
dale_chall_readability_score: 7.69 8.06136585366 95% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 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.