In recent years, many small shops have closed because customer travel to large shopping centres or mall to do their shopping.
Is this a positive or negative development?
During the last few years, there has been more demand for centres that have a variety of stores as compared to local shops that are near customers' homes. I believe that this is a negative development due to a couple of reasons that will be elaborated below.
One of the reasons is the number of options confuses and tempts the customer to spend more time and money than the previously stipulated budget. Although patrons have multiple stores within a few meters of each other, they are bombarded with a selection that causes them to not only shell out more as compared to the same shopping done in smaller shops but also waste time. To illustrate, customers are likely to spend less money and time in local general stores as compared to massive supermarkets in malls.
Secondly, as the popularity shifts so do the revenue from the local shopkeepers to large markets which increases competition. This can be a huge downside as some of these shops have been in the area for generations which will have to close down, due to people opting for purchasing their daily supplies. It gets even worse when these supermarkets give discounts that are not feasible to the smaller shops. For example, large supermarkets give discounts due to selling their product in bulk which cannot be challenged by smaller stores thus reducing their business.
To summarise, people choose shopping malls rather than local shops due to selection of various stores and the offers that they provide. This is a negative development, as the companies behind this not only cause local shops to go out of business but also rob customers of their money and time.
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Grammar and spelling errors:
Line 6, column 299, Rule ID: COMP_THAN[1]
Message: Comparison requires 'than', not 'then' nor 'as'.
Suggestion: than
... causes them to not only shell out more as compared to the same shopping done in s...
^^
Line 10, column 29, Rule ID: AFFORD_VBG[1]
Message: This verb is used with infinitive: 'to shop'.
Suggestion: to shop
...usiness. To summarise, people choose shopping malls rather than local shops due to se...
^^^^^^^^
Transition Words or Phrases used:
also, but, if, second, secondly, so, thus, for example
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 13.1623246493 91% => OK
Auxiliary verbs: 4.0 7.85571142285 51% => OK
Conjunction : 7.0 10.4138276553 67% => OK
Relative clauses : 11.0 7.30460921844 151% => OK
Pronoun: 22.0 24.0651302605 91% => OK
Preposition: 40.0 41.998997996 95% => OK
Nominalization: 5.0 8.3376753507 60% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1369.0 1615.20841683 85% => OK
No of words: 279.0 315.596192385 88% => More content wanted.
Chars per words: 4.90681003584 5.12529762239 96% => OK
Fourth root words length: 4.08696624509 4.20363070211 97% => OK
Word Length SD: 2.53416931275 2.80592935109 90% => OK
Unique words: 148.0 176.041082164 84% => More unique words wanted.
Unique words percentage: 0.530465949821 0.561755894193 94% => More unique words wanted or less content wanted.
syllable_count: 427.5 506.74238477 84% => OK
avg_syllables_per_word: 1.5 1.60771543086 93% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 5.43587174349 92% => OK
Article: 0.0 2.52805611222 0% => OK
Subordination: 3.0 2.10420841683 143% => OK
Conjunction: 0.0 0.809619238477 0% => OK
Preposition: 3.0 4.76152304609 63% => OK
Performance on sentences:
How many sentences: 11.0 16.0721442886 68% => 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: 25.0 20.2975951904 123% => The Avg. Sentence Length is relatively long.
Sentence length SD: 33.81182736 49.4020404114 68% => OK
Chars per sentence: 124.454545455 106.682146367 117% => OK
Words per sentence: 25.3636363636 20.7667163134 122% => OK
Discourse Markers: 4.90909090909 7.06120827912 70% => OK
Paragraphs: 4.0 4.38176352705 91% => OK
Language errors: 2.0 5.01903807615 40% => OK
Sentences with positive sentiment : 3.0 8.67935871743 35% => More positive sentences wanted.
Sentences with negative sentiment : 6.0 3.9879759519 150% => OK
Sentences with neutral sentiment: 2.0 3.4128256513 59% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.290290757221 0.244688304435 119% => OK
Sentence topic coherence: 0.105440185151 0.084324248473 125% => OK
Sentence topic coherence SD: 0.0721006498639 0.0667982634062 108% => OK
Paragraph topic coherence: 0.18713799554 0.151304729494 124% => OK
Paragraph topic coherence SD: 0.0623293766954 0.056905535591 110% => OK
Essay readability:
automated_readability_index: 14.4 13.0946893788 110% => OK
flesch_reading_ease: 54.56 50.2224549098 109% => OK
smog_index: 3.1 7.44779559118 42% => Smog_index is low.
flesch_kincaid_grade: 11.9 11.3001002004 105% => OK
coleman_liau_index: 11.49 12.4159519038 93% => OK
dale_chall_readability_score: 8.27 8.58950901804 96% => OK
difficult_words: 60.0 78.4519038076 76% => More difficult words wanted.
linsear_write_formula: 13.5 9.78957915832 138% => OK
gunning_fog: 12.0 10.1190380762 119% => OK
text_standard: 12.0 10.7795591182 111% => OK
What are above readability scores?
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Rates: 61.797752809 out of 100
Scores by essay e-grader: 5.5 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.