The diagram details the process of making leather products.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The illustration demonstrates how to turn the the animal skin into fancy leather frequent used
transform the animal leather into daily using stuff is a man made process , it contains of 11 stages , the process starts with drying the animal skin and ending with the fancy leather products, off course after adding some materials like polish and vegetable matter .
First it starts by getting the animal skin drying , then the skin goes to the factory to get washed , it gets washed in a professional way by water with adding a little bit of lime to it , from this it goes to a huge container to get soaked into pure lime water , following that it gets flatted in a massive flattening machine ..
Then , it gets tannin in pool full of water and vegetable substance , following that it moves to the polishing area to get polished ,with what the market or the customers had requested the day before , in the end we turn the dyed , polished , well soaked skin transfer for the last time to the designers factories to get shaped in the way they like it to be with ,and last step which is getting it to the market for the final hand receiver ..
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Grammar and spelling errors:
Line 1, column 43, Rule ID: ENGLISH_WORD_REPEAT_RULE
Message: Possible typo: you repeated a word
Suggestion: the
...e illustration demonstrates how to turn the the animal skin into fancy leather frequent...
^^^^^^^
Line 1, column 43, Rule ID: DT_DT[1]
Message: Maybe you need to remove one determiner so that only 'the' or 'the' is left.
Suggestion: the; the
...e illustration demonstrates how to turn the the animal skin into fancy leather frequent...
^^^^^^^
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... skin into fancy leather frequent used transform the animal leather into daily ...
^^^
Line 3, column 1, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Transform
...in into fancy leather frequent used transform the animal leather into daily using stu...
^^^^^^^^^
Line 3, column 52, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...he animal leather into daily using stuff is a man made process , it contains of 1...
^^
Line 3, column 75, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...daily using stuff is a man made process , it contains of 11 stages , the process ...
^^
Line 3, column 102, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... made process , it contains of 11 stages , the process starts with drying the anim...
^^
Line 3, column 267, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...terials like polish and vegetable matter . First it starts by getting the ...
^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...als like polish and vegetable matter . First it starts by getting the animal s...
^^^^^^
Line 6, column 6, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...lish and vegetable matter . First it starts by getting the animal skin dry...
^^
Line 6, column 51, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...starts by getting the animal skin drying , then the skin goes to the factory to g...
^^
Line 6, column 58, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...by getting the animal skin drying , then the skin goes to the factory to get wash...
^^
Line 6, column 102, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...e skin goes to the factory to get washed , it gets washed in a professional way by...
^^
Line 6, column 120, Rule ID: IN_A_X_MANNER[1]
Message: Consider replacing "in a professional way" with adverb for "professional"; eg, "in a hasty manner" with "hastily".
... factory to get washed , it gets washed in a professional way by water with adding a little bit of li...
^^^^^^^^^^^^^^^^^^^^^
Line 6, column 165, Rule ID: LITTLE_BIT[1]
Message: Reduce redundancy by using 'little' or 'bit'.
Suggestion: little; bit
...professional way by water with adding a little bit of lime to it , from this it goes to a ...
^^^^^^^^^^
Line 6, column 189, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...r with adding a little bit of lime to it , from this it goes to a huge container t...
^^
Line 6, column 264, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ainer to get soaked into pure lime water , following that it gets flatted in a mas...
^^
Line 6, column 330, Rule ID: DOUBLE_PUNCTUATION
Message: Two consecutive dots
Suggestion: .
...flatted in a massive flattening machine .. Then , it gets tannin in pool full ...
^^
Line 7, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ted in a massive flattening machine .. Then , it gets tannin in pool full of wa...
^^^
Line 8, column 5, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...a massive flattening machine .. Then , it gets tannin in pool full of water an...
^^
Line 8, column 68, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...ol full of water and vegetable substance , following that it moves to the polishin...
^^
Line 8, column 132, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...es to the polishing area to get polished ,with what the market or the customers h...
^^
Line 8, column 143, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...olishing area to get polished ,with what the market or the customers had requeste...
^^
Line 8, column 201, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...e customers had requested the day before , in the end we turn the dyed , polished ...
^^
Line 8, column 231, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...day before , in the end we turn the dyed , polished , well soaked skin transfer fo...
^^
Line 8, column 242, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
..., in the end we turn the dyed , polished , well soaked skin transfer for the last ...
^^
Line 8, column 364, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...haped in the way they like it to be with ,and last step which is getting it to the...
^^
Line 8, column 442, Rule ID: DOUBLE_PUNCTUATION
Message: Two consecutive dots
Suggestion: .
... the market for the final hand receiver ..
^^
Transition Words or Phrases used:
first, so, then, well
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 15.0 5.60731707317 268% => Less pronouns wanted
Preposition: 36.0 33.7804878049 107% => 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: 933.0 965.302439024 97% => OK
No of words: 203.0 196.424390244 103% => OK
Chars per words: 4.5960591133 4.92477711251 93% => OK
Fourth root words length: 3.77462671648 3.73543355544 101% => OK
Word Length SD: 2.37790697659 2.65546596893 90% => OK
Unique words: 110.0 106.607317073 103% => OK
Unique words percentage: 0.541871921182 0.547539520022 99% => OK
syllable_count: 282.6 283.868780488 100% => 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: 2.0 4.33902439024 46% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 3.0 8.94146341463 34% => 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: 67.0 22.4926829268 298% => The Avg. Sentence Length is relatively long.
Sentence length SD: 46.6857104 43.030603864 108% => OK
Chars per sentence: 311.0 112.824112599 276% => Less chars_per_sentence wanted.
Words per sentence: 67.6666666667 22.9334400587 295% => Less words per sentence wanted.
Discourse Markers: 7.0 5.23603664747 134% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 28.0 1.69756097561 1649% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
Sentences with neutral sentiment: 0.0 4.09268292683 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0338551401176 0.215688989381 16% => OK
Sentence topic coherence: 0.0258584716755 0.103423049105 25% => OK
Sentence topic coherence SD: 0.0365694013457 0.0843802449381 43% => Sentences are similar to each other.
Paragraph topic coherence: 0.0292296229538 0.15604864568 19% => OK
Paragraph topic coherence SD: 0.0328272251638 0.0819641961636 40% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 34.1 13.2329268293 258% => Automated_readability_index is high.
flesch_reading_ease: 20.39 61.2550243902 33% => Flesch_reading_ease is low.
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 27.1 10.3012195122 263% => Flesch kincaid grade is high.
coleman_liau_index: 10.58 11.4140731707 93% => OK
dale_chall_readability_score: 9.45 8.06136585366 117% => OK
difficult_words: 32.0 40.7170731707 79% => More difficult words wanted.
linsear_write_formula: 27.5 11.4329268293 241% => Linsear_write_formula is high.
gunning_fog: 28.8 10.9970731707 262% => Gunning_fog is high.
text_standard: 28.0 11.0658536585 253% => The average readability is very high. Good job!
What are above readability scores?
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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 11.2359550562 out of 100
Scores by essay e-grader: 1.0 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.