The table and charts below give information on the police budget for 2017 and 2018 in one area in Britain. The table shows where the money came from and the charts show how it was distributed.
The given table provides a comparison of the origin of expenses disbursing for police in 2017 and 2018 and the pie charts illustrate how this budget allocates for.
From an overall perspective, it is highlighted that most of the category’s spending on security witnessed an upward trend while the pie chart observed the fluctuation in the factors such as salaries, technology, infrastructure, and traffic.
Taking a first look at the table chart, it is obvious that local taxes had the most dramatic increase in its number. The recorded earnings from this aspect are increased by 10.1 million European in 2018. Moreover, the national government contributed more than 2.3 million European after one year and hosted the first rank among the three elements. Subsequently, other sources just merely grow from 38 million European to 38.5 million European over the year shown.
Moving to data on the pie charts, it is notable that the share of each category is varied. While the proportion of budget distributed to technology rose by nearly double over the period, the expense for infrastructures and transportation decreased from 75 percent in 2017 to under 70 in 2018. Finally, the spending on buildings and transportation met the same record, which occupied exactly 17 percent in both years.
- Some people think that physical strength is important for success in sport while other people think that mental strength is more important Discuss both views and give your own opinion 73
- It is suggested that primary children should learn how to grow vegetables and keep animals Do the advantages outweigh the disadvantages 78
- The graph below shows changes in global food and oil prices between 2000 and 2011 73
- Some employers reward members of staff for their exceptional contribution to the company by giving them extra money This practice can act as an incentive for some but may also have a negative impact on others To what extent is this style of management eff 74
- The picture below shows the plant of museum in 1998 and after some changes was made in 2008 78
Transition Words or Phrases used:
but, finally, first, look, moreover, so, while, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.48453608247 67% => OK
Auxiliary verbs: 0.0 4.92783505155 0% => OK
Conjunction : 6.0 5.05154639175 119% => OK
Relative clauses : 4.0 3.03092783505 132% => OK
Pronoun: 9.0 32.9175257732 27% => OK
Preposition: 31.0 26.3917525773 117% => OK
Nominalization: 5.0 3.85567010309 130% => OK
Performance on vocabulary words:
No of characters: 1087.0 937.175257732 116% => OK
No of words: 209.0 206.0 101% => OK
Chars per words: 5.2009569378 4.54256449028 114% => OK
Fourth root words length: 3.80221413058 3.78020617076 101% => OK
Word Length SD: 2.91873088 2.54303337028 115% => OK
Unique words: 134.0 127.690721649 105% => OK
Unique words percentage: 0.641148325359 0.622605031667 103% => OK
syllable_count: 320.4 290.88556701 110% => OK
avg_syllables_per_word: 1.5 1.41237113402 106% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 9.13402061856 33% => OK
Article: 5.0 0.824742268041 606% => Less articles wanted as sentence beginning.
Subordination: 1.0 1.83505154639 54% => OK
Conjunction: 1.0 0.463917525773 216% => Less conjunction wanted as sentence beginning.
Preposition: 1.0 1.44329896907 69% => OK
Performance on sentences:
How many sentences: 9.0 12.6804123711 71% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 23.0 16.3608247423 141% => The Avg. Sentence Length is relatively long.
Sentence length SD: 48.9090867368 44.8134815571 109% => OK
Chars per sentence: 120.777777778 76.5299724578 158% => OK
Words per sentence: 23.2222222222 16.8248392259 138% => OK
Discourse Markers: 6.11111111111 4.34317383033 141% => OK
Paragraphs: 4.0 4.29896907216 93% => OK
Language errors: 0.0 2.54639175258 0% => OK
Sentences with positive sentiment : 4.0 7.41237113402 54% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 1.49484536082 0% => More negative sentences wanted.
Sentences with neutral sentiment: 5.0 3.94845360825 127% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.20901316152 0.216113520407 97% => OK
Sentence topic coherence: 0.0774577459028 0.0766984524023 101% => OK
Sentence topic coherence SD: 0.087961161967 0.0603063233224 146% => OK
Paragraph topic coherence: 0.131191902584 0.12726935374 103% => OK
Paragraph topic coherence SD: 0.0945675391112 0.0580467560999 163% => OK
Essay readability:
automated_readability_index: 14.7 8.37731958763 175% => OK
flesch_reading_ease: 56.59 70.7449484536 80% => OK
smog_index: 8.8 3.82989690722 230% => Smog_index is high.
flesch_kincaid_grade: 11.1 7.45979381443 149% => OK
coleman_liau_index: 13.18 8.71597938144 151% => OK
dale_chall_readability_score: 9.46 7.59969072165 124% => OK
difficult_words: 62.0 41.2886597938 150% => OK
linsear_write_formula: 14.0 8.62886597938 162% => OK
gunning_fog: 11.2 8.54432989691 131% => OK
text_standard: 14.0 8.15463917526 172% => OK
What are above readability scores?
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Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.