Overview

Dataset statistics

Number of variables5
Number of observations6375
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory267.8 KiB
Average record size in memory43.0 B

Variable types

Categorical2
Numeric1
Boolean1
Text1

Dataset

Description아임셀러 옥션카테고리 현황에 대한 데이터를 제공합니다. 기준연도, 기준월, 최하위여부 및 카테고리명 등을 제공합니다.
Author(주)중소기업유통센터
URLhttps://www.data.go.kr/data/15067206/fileData.do

Alerts

기준연도 has constant value ""Constant
기준월 has constant value ""Constant
정렬순서 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:36:42.073487
Analysis finished2023-12-12 01:36:43.063685
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
2020
6375 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 6375
100.0%

Length

2023-12-12T10:36:43.528266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:36:43.674998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 6375
100.0%

기준월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
9
6375 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9
2nd row9
3rd row9
4th row9
5th row9

Common Values

ValueCountFrequency (%)
9 6375
100.0%

Length

2023-12-12T10:36:43.827686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:36:43.951105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 6375
100.0%

정렬순서
Real number (ℝ)

UNIQUE 

Distinct6375
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3190.2842
Minimum1
Maximum6390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.2 KiB
2023-12-12T10:36:44.093080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile319.7
Q11594.5
median3190
Q34784.5
95-th percentile6071.3
Maximum6390
Range6389
Interquartile range (IQR)3190

Descriptive statistics

Standard deviation1842.9246
Coefficient of variation (CV)0.57766784
Kurtosis-1.1985641
Mean3190.2842
Median Absolute Deviation (MAD)1595
Skewness0.0019028398
Sum20338062
Variance3396371.1
MonotonicityNot monotonic
2023-12-12T10:36:44.278759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4805 1
 
< 0.1%
1404 1
 
< 0.1%
1402 1
 
< 0.1%
1401 1
 
< 0.1%
1400 1
 
< 0.1%
1399 1
 
< 0.1%
1398 1
 
< 0.1%
1397 1
 
< 0.1%
1396 1
 
< 0.1%
1395 1
 
< 0.1%
Other values (6365) 6365
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6390 1
< 0.1%
6389 1
< 0.1%
6388 1
< 0.1%
6387 1
< 0.1%
6386 1
< 0.1%
6385 1
< 0.1%
6384 1
< 0.1%
6383 1
< 0.1%
6382 1
< 0.1%
6381 1
< 0.1%

최하위여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
True
5472 
False
903 
ValueCountFrequency (%)
True 5472
85.8%
False 903
 
14.2%
2023-12-12T10:36:44.420711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카테고리명
Text

Distinct5773
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size49.9 KiB
2023-12-12T10:36:44.684824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.2014118
Min length1

Characters and Unicode

Total characters33159
Distinct characters932
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5413 ?
Unique (%)84.9%

Sample

1st row마대
2nd row산업용자재기타
3rd row와이퍼/흡작포
4th row농기계/농기구
5th row텃밭관리기/트랙터
ValueCountFrequency (%)
기타 28
 
0.4%
일반매장 10
 
0.2%
비브랜드 10
 
0.2%
경상 10
 
0.2%
전라 10
 
0.2%
브랜드 10
 
0.2%
강원 10
 
0.2%
충청 10
 
0.2%
경기 9
 
0.1%
제주 8
 
0.1%
Other values (5763) 6260
98.2%
2023-12-12T10:36:45.157636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1812
 
5.5%
기 1074
 
3.2%
스 811
 
2.4%
이 800
 
2.4%
용 580
 
1.7%
품 571
 
1.7%
트 557
 
1.7%
타 495
 
1.5%
아 417
 
1.3%
리 392
 
1.2%
Other values (922) 25650
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30559
92.2%
Other Punctuation 1814
 
5.5%
Uppercase Letter 586
 
1.8%
Lowercase Letter 131
 
0.4%
Decimal Number 57
 
0.2%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1074
 
3.5%
스 811
 
2.7%
이 800
 
2.6%
용 580
 
1.9%
품 571
 
1.9%
트 557
 
1.8%
타 495
 
1.6%
아 417
 
1.4%
리 392
 
1.3%
드 365
 
1.2%
Other values (862) 24497
80.2%
Uppercase Letter
ValueCountFrequency (%)
C 58
 
9.9%
D 58
 
9.9%
S 57
 
9.7%
P 56
 
9.6%
V 45
 
7.7%
T 45
 
7.7%
B 31
 
5.3%
A 24
 
4.1%
O 24
 
4.1%
R 24
 
4.1%
Other values (15) 164
28.0%
Lowercase Letter
ValueCountFrequency (%)
o 32
24.4%
k 14
10.7%
e 14
10.7%
a 10
 
7.6%
c 9
 
6.9%
u 7
 
5.3%
t 7
 
5.3%
r 6
 
4.6%
l 6
 
4.6%
i 5
 
3.8%
Other values (10) 21
16.0%
Decimal Number
ValueCountFrequency (%)
1 16
28.1%
0 9
15.8%
3 8
14.0%
9 6
 
10.5%
4 5
 
8.8%
2 5
 
8.8%
5 4
 
7.0%
7 2
 
3.5%
6 1
 
1.8%
8 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 1812
99.9%
& 1
 
0.1%
: 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 9
75.0%
~ 3
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30559
92.2%
Common 1883
 
5.7%
Latin 717
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1074
 
3.5%
스 811
 
2.7%
이 800
 
2.6%
용 580
 
1.9%
품 571
 
1.9%
트 557
 
1.8%
타 495
 
1.6%
아 417
 
1.4%
리 392
 
1.3%
드 365
 
1.2%
Other values (862) 24497
80.2%
Latin
ValueCountFrequency (%)
C 58
 
8.1%
D 58
 
8.1%
S 57
 
7.9%
P 56
 
7.8%
V 45
 
6.3%
T 45
 
6.3%
o 32
 
4.5%
B 31
 
4.3%
A 24
 
3.3%
O 24
 
3.3%
Other values (35) 287
40.0%
Common
ValueCountFrequency (%)
/ 1812
96.2%
1 16
 
0.8%
0 9
 
0.5%
+ 9
 
0.5%
3 8
 
0.4%
9 6
 
0.3%
4 5
 
0.3%
2 5
 
0.3%
5 4
 
0.2%
~ 3
 
0.2%
Other values (5) 6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30559
92.2%
ASCII 2600
 
7.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1812
69.7%
C 58
 
2.2%
D 58
 
2.2%
S 57
 
2.2%
P 56
 
2.2%
V 45
 
1.7%
T 45
 
1.7%
o 32
 
1.2%
B 31
 
1.2%
A 24
 
0.9%
Other values (50) 382
 
14.7%
Hangul
ValueCountFrequency (%)
기 1074
 
3.5%
스 811
 
2.7%
이 800
 
2.6%
용 580
 
1.9%
품 571
 
1.9%
트 557
 
1.8%
타 495
 
1.6%
아 417
 
1.4%
리 392
 
1.3%
드 365
 
1.2%
Other values (862) 24497
80.2%

Interactions

2023-12-12T10:36:42.734170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:36:45.266307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬순서최하위여부
정렬순서1.0000.073
최하위여부0.0731.000
2023-12-12T10:36:45.360164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬순서최하위여부
정렬순서1.0000.056
최하위여부0.0561.000

Missing values

2023-12-12T10:36:42.888396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:36:43.010652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준연도기준월정렬순서최하위여부카테고리명
0202094805Y마대
1202094806Y산업용자재기타
2202094807Y와이퍼/흡작포
3202094808N농기계/농기구
4202094809Y텃밭관리기/트랙터
5202094810Y비닐피복기/파종기
6202094811Y정미기/탈곡기
7202094812Y선별기
8202094813Y농업용파쇄기
9202094814Y굴착기
기준연도기준월정렬순서최하위여부카테고리명
636520209291Y팩/마스크용품
636620209292Y마사지크림/젤
636720209293N베이스메이크업
636820209294YBB크림/톤업크림
636920209295Y메이크업베이스
637020209296Y프라이머
637120209297Y컨실러
637220209298Y파운데이션
6373202092283Y수저통
6374202094514Y자동차워셔액