The assigned tabular chart compares the weekly consumption of two types of milk and butter in four descending age groups in one European country.
It is clear that milk consumption increased continuously with age, as did butter consumption in the lower three age groups. The last age group saw a sharp decline in butter consumption compared to the preceding group. Furthermore, the figures show varying proportions of two types of milk and butter (full fat and low fat) consumption in different age groups.
The youngest age group under 25 years accounted for the minority proportion in milk consumption with a figure of 1200ml, while the oldest age group beyond 65 years contributed the most milk consumption with a figure of 1900ml, followed by the age groups between 45 and 65 years with a figure of 1670ml. The age group between 26 and 45 years had a similar consumption compared to the age group 45 to 65 years. While the figures show moderately different preferences for full fat and low fat in the youngest group and the 45 to 65 years age group, both were nearly 50%. The oldest group and the 25 to 45 years age group have a strong preference for low-fat milk, at 80% and 70%, respectively.
Ages between 45 and 65 constitute the highest consumption in butter, with a figure of 60g, approximately double the amount consumed by the oldest group. The age group between 26 and 45 was the third-largest consumer of butter, with a figure of 19g, while the youngest group only consumed 12g of butter each week. In the meantime, the youngest group preferred full-fat over low-fat, which is opposite to the preference of ages between 26 and 45. Ages beyond 45 showed the same preference for full-fat and low-fat butter.
- The table shows the number of mobile phones and personal computers per 1000 people in 2003 in 6 different counties Summarize the information by selecting and reporting the main features and make comparisons where relevant 61
- The table shows the number of mobile phones and personal computers per 1000 people in 2003 in 6 different counties Summarize the information by selecting and reporting the main features and make comparisons where relevant 11
- The table shows the number of mobile phones and personal computers per 1000 people in 2003 in 6 different counties Summarize the information by selecting and reporting the main features and make comparisons where relevant 67
- Consumption of meat The graph below shows the consumption of fish and some different kinds of meat in a European country between 1979 and 2004 73
- The table shows the percentage of journeys made by different forms of transport in four countries The bar chart shows the results of a survey into car use Summarise the information by selecting and reporting the main features and make comparisons where re 78
Transition Words or Phrases used:
but, furthermore, if, third, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 13.0 6.8 191% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 2.0 5.60731707317 36% => OK
Preposition: 46.0 33.7804878049 136% => OK
Nominalization: 13.0 3.97073170732 327% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1430.0 965.302439024 148% => OK
No of words: 297.0 196.424390244 151% => Less content wanted.
Chars per words: 4.81481481481 4.92477711251 98% => OK
Fourth root words length: 4.15134772569 3.73543355544 111% => OK
Word Length SD: 2.72282132465 2.65546596893 103% => OK
Unique words: 123.0 106.607317073 115% => OK
Unique words percentage: 0.414141414141 0.547539520022 76% => More unique words wanted or less content wanted.
syllable_count: 406.8 283.868780488 143% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 8.0 4.33902439024 184% => OK
Subordination: 4.0 1.07073170732 374% => Less adverbial clause wanted.
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 12.0 8.94146341463 134% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 54.4203674086 43.030603864 126% => OK
Chars per sentence: 119.166666667 112.824112599 106% => OK
Words per sentence: 24.75 22.9334400587 108% => OK
Discourse Markers: 2.83333333333 5.23603664747 54% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
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: 8.0 4.09268292683 195% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.301427065672 0.215688989381 140% => OK
Sentence topic coherence: 0.167589827936 0.103423049105 162% => OK
Sentence topic coherence SD: 0.0509277652478 0.0843802449381 60% => OK
Paragraph topic coherence: 0.244919503286 0.15604864568 157% => OK
Paragraph topic coherence SD: 0.0539009103543 0.0819641961636 66% => OK
Essay readability:
automated_readability_index: 13.6 13.2329268293 103% => OK
flesch_reading_ease: 64.04 61.2550243902 105% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 10.3 10.3012195122 100% => OK
coleman_liau_index: 10.91 11.4140731707 96% => OK
dale_chall_readability_score: 7.43 8.06136585366 92% => OK
difficult_words: 49.0 40.7170731707 120% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 11.6 10.9970731707 105% => 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
---------------------
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.