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Kakobuy Spreadsheet Ledger

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Kakobuy Spreadsheet Price Distribution, Read Honestly

Reviewed 2026-W40Data tableTarget: kakobuy spreadsheet price1657 words

Data this note rests on: The library runs from $5.17 to $451.10 with a median of $31.76, but the top of that range is set by a single Accessories entry. The next-highest category ceiling is $156.27, and every category except Accessories spans between 3.33 and 8.40 times.

The distribution table

The 195 entries in this ledger run from $5.17 to $451.10, a span of about 87 times, and the median sits at $31.76, which is far closer to the bottom of that span than to its midpoint of $228.14. That gap between the median and the middle of the range is the first thing to read from the distribution, because it tells a reader immediately that the range is not describing the same population as the median. The table below puts both figures next to each other for each of the eight categories.

Price distribution across the 195 entries, by category
CategoryEntriesMinimumMedianMaximumMax-to-min span
Shoes24$24.09$68.68$100.844.19×
Hoodies & Sweaters26$12.13$37.18$101.888.40×
T-Shirts24$13.61$22.23$45.363.33×
Jackets24$19.06$53.89$156.278.20×
Pants & Shorts25$16.07$44.62$69.204.31×
Headwear24$7.94$16.22$32.124.05×
Accessories24$5.17$26.77$451.1087.25×
Other Items24$13.88$35.81$89.126.42×
All entries195$5.17$31.76$451.1087.25×
Source:
Price in USD as recorded against each entry at extraction time, grouped by the site category mapping. Category labels follow this site; the source platform label for the Hoodies and Pants groups differs slightly and is mapped centrally.
Sample:
All 195 entries, extracted 2026-09-29, every one sourced from Weidian, spanning 8 categories and 20 distinct brands. Per-category counts run from 24 to 26, so each category row rests on a narrow sample compared with the library total.
Recorded:
Figures re-read in week 2026-W40 against the same aggregation used by the vault. Medians are computed on the recorded USD value; spans are the maximum divided by the minimum for the same category.
Known gap:
Prices are recording-time reference values and are not live quotes; an entry may have changed price since extraction. The category grouping is a site mapping rather than a source grouping, and three categories carry no brand field on some rows, which does not affect price but does affect how a record can be filtered.

The extremes are where the table becomes informative. The Accessories row spans 87.25 times from $5.17 to $451.10, and it is the only category of the eight whose range exceeds fifteen times. The T-Shirts row spans 3.33 times, the narrowest in the library, from $13.61 to $45.36. Between those two rows sits the entire range of behaviour the eight categories exhibit, and the difference is not about price level. T-Shirts have a lower median than Accessories, but the meaningful difference is that one category behaves like a band and the other behaves like a long tail with a dense centre.

Where the numbers come from

Every figure above comes from one extraction on 2026-09-29 covering 195 entries, all of them sourced from Weidian, across 8 categories and 20 distinct brands. There is no second batch and no earlier batch in this ledger, so the distribution describes one moment rather than a trend. Nothing in this note compares this extraction with a previous one, because no previous one exists here.

The price recorded against each entry is a reference value captured at extraction time. It is not a live quote, and it is not a price this site can refresh without running the extraction again. That distinction matters for reading the table: the medians are stable enough to describe the shape of a category, while any individual figure may already be out of date. A reader checking a specific item should treat the recorded price as the starting point of a verification rather than as its result.

The category grouping is applied by this site rather than by the source. The source uses its own category names, and one of them was observed as a separate value that this site folds into the Pants and Shorts group, which is why that category carries 25 entries while six others carry 24. This is a mapping decision, not a measurement, and it is the reason the category counts are close to even rather than reflecting any natural distribution of goods. Each of the eight categories can be read on its own at /vault/shoes/, /vault/hoodies-sweaters/, /vault/t-shirts/, /vault/jackets/, /vault/pants-shorts/ and /vault/accessories/, with the full 195 rows listed together at /vault/.

The samples behind the medians are small in absolute terms. Each category rests on 24 to 26 entries, which is enough to place a median and far too few to describe a distribution shape in detail. Moving a single price in a 24-entry category can shift the median by a noticeable amount, and the effect is larger in categories whose entries cluster tightly, such as T-Shirts, than in categories with a wide spread. The library-level median of $31.76 rests on all 195 entries and is correspondingly steadier.

How to read the table

Read the median and the range together, never one without the other. The median answers what a typical entry costs; the range answers how far from typical an entry can be. A category with a median of $53.89 and a ceiling of $156.27, which is the Jackets row, tells a reader that a Jackets purchase is likely to sit near the middle of the band and can sit three times higher. A category with a median of $26.77 and a ceiling of $451.10, which is the Accessories row, tells a reader that the median describes almost nothing about the top of the category.

Rank the categories by median and a clear order appears: Shoes at $68.68, Jackets at $53.89, Pants and Shorts at $44.62, Hoodies and Sweaters at $37.18, Other Items at $35.81, Accessories at $26.77, T-Shirts at $22.23, and Headwear at $16.22. The spread between the highest and lowest category median is 4.23 times, which is narrower than the internal span of five of the eight categories: Hoodies and Sweaters, Jackets, Pants and Shorts, Accessories and Other Items all span more within themselves than the whole set of medians spans across categories. That is the honest reading of the distribution: category explains less about a price than the position of an individual entry within its category.

Three cautions apply to any figure taken from this table. First, a median is not a budget. It describes the centre of what was recorded, not what a buyer should plan to spend. Second, the span column is a ratio and ratios are dominated by their smallest term: the T-Shirts span of 3.33 times begins at $13.61, while the Jackets span of 8.20 times begins at $19.06, and comparing the two spans says more about the cheapest entries in each category than about the expensive ones. Third, the library row repeats the minimum from Accessories and the maximum from Accessories, so it is not an independent summary; it is the outer envelope of the eight rows above it.

Every figure here is a recording-time reference value from a single extraction dated 2026-09-29, re-read in week 2026-W40. No price in this note is a live quote, and no entry count in this note is a claim about supply.

Outliers and what they mean

One entry sets the shape of the whole library. The highest recorded price is $451.10, it belongs to the Accessories category, and it is 14.20 times the library median and 16.85 times the median of its own category. Fourteen entries at the library median would total $444.64, which is still less than that single entry. Nothing else in the library approaches it: the next-highest category ceiling is $156.27 in Jackets, so the top of the overall range is 2.89 times the top of every other category.

What the single highest entry does and does not move
MeasureValueComparisonReading
Highest single price$451.10Next-highest ceiling $156.27One entry sets the top of the library range
Against the library median14.20×Library median $31.76Fourteen median entries total $444.64 and still fall short
Against its own category median16.85×Accessories median $26.77A category median does not describe a category ceiling
Accessories span87.25×Other categories span 3.33× to 8.40×The outlier is why one category spans an order of magnitude more
Accessories rank by median6th of 8Median $26.77 against library median $31.76The category holding the maximum sits below the library median
Source:
All ratios computed from the same extraction totals: library minimum $5.17, library median $31.76, library maximum $451.10, Accessories median $26.77, Jackets maximum $156.27, and the per-category spans in the distribution table above.
Sample:
The outlier is one entry inside a 24-entry Accessories category, drawn from the 195-entry extraction dated 2026-09-29. Ratios carry that single-entry sample by definition.
Recorded:
Arithmetic re-checked in week 2026-W40: $451.10 divided by $31.76 is 14.20, divided by $26.77 is 16.85, and $444.64 is fourteen times $31.76.
Known gap:
This site does not trim, cap or exclude the outlier, and it does not recompute a median with the entry removed, because that would report a distribution the ledger does not contain. Without the underlying entry list no such recomputation is possible here, and none is claimed.

The honest treatment of an outlier is to keep it, name it and read around it. Trimming would make the range narrower and the table tidier, and it would also misstate what the ledger holds. The Accessories entry is a record from the same extraction as every other row, checked in the same week, and it belongs in the distribution for the same reason the $5.17 entry belongs there. What changes is the reading: where a category median and a category ceiling disagree by a factor of nearly seventeen, the median should be used for planning and the ceiling should be used for risk.

The outlier also explains why the library-level row in the first table should not be used as a summary of the eight rows above it. Its minimum and maximum are both inherited from Accessories, and its median of $31.76 sits below the median of five of the eight categories. A reader who needs one number about this library should take the median, because it is the figure that survives the outlier; a reader who needs one number about exposure should take the maximum, because it is the figure the outlier creates. Both are true at once, and a table that reports only one of them is a table that has chosen an answer before the question was asked.

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