Overview

Dataset statistics

Number of variables10
Number of observations446
Missing cells9
Missing cells (%)0.2%
Duplicate rows29
Duplicate rows (%)6.5%
Total size in memory35.8 KiB
Average record size in memory82.3 B

Variable types

Categorical3
Text5
Boolean2

Dataset

Description아임셀러 제휴카테고리 매핑정보에 대한 데이터를 제공합니다. 기준연, 기준월, 제휴카테고리 하위 3개 뎁스 등을 제공합니다.
Author(주)중소기업유통센터
URLhttps://www.data.go.kr/data/15067148/fileData.do

Alerts

기준연도 has constant value ""Constant
기준월 has constant value ""Constant
최하위여부 has constant value ""Constant
기준마지막카테고리여부 has constant value ""Constant
Dataset has 29 (6.5%) duplicate rowsDuplicates
제휴카테고리명(하) has 9 (2.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:37:49.099225
Analysis finished2023-12-12 07:37:50.273234
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2020
446 

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 446
100.0%

Length

2023-12-12T16:37:50.348737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:37:50.446985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 446
100.0%

기준월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
9
446 

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 (%)
9 446
100.0%

Length

2023-12-12T16:37:50.544356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:37:50.655434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 446
100.0%

제휴카테고리명(상)
Text

Distinct61
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T16:37:50.870240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9304933
Min length4

Characters and Unicode

Total characters4429
Distinct characters180
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)4.7%

Sample

1st row여성의류
2nd row여성의류
3rd row언더웨어/잠옷/보정속옷
4th row여성화/남성화/스니커즈
5th row가방/패션잡화
ValueCountFrequency (%)
골프클럽/의류/용품 91
20.4%
컴퓨터부품/주변기기 57
12.8%
자전거/헬스/다이어트 47
 
10.5%
자전거/헬스/스포츠 27
 
6.1%
pc부품/주변기기 26
 
5.8%
저장장치/메모리 20
 
4.5%
pc주변/프린터/복합기 18
 
4.0%
등산/캠핑/낚시/보드 12
 
2.7%
스포츠의류/운동화/용품 11
 
2.5%
해외쇼핑 9
 
2.0%
Other values (51) 128
28.7%
2023-12-12T16:37:51.279274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 758
 
17.1%
품 203
 
4.6%
기 198
 
4.5%
스 132
 
3.0%
용 127
 
2.9%
프 116
 
2.6%
의 116
 
2.6%
류 116
 
2.6%
주 115
 
2.6%
변 101
 
2.3%
Other values (170) 2447
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3555
80.3%
Other Punctuation 758
 
17.1%
Uppercase Letter 115
 
2.6%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 203
 
5.7%
기 198
 
5.6%
스 132
 
3.7%
용 127
 
3.6%
프 116
 
3.3%
의 116
 
3.3%
류 116
 
3.3%
주 115
 
3.2%
변 101
 
2.8%
터 91
 
2.6%
Other values (162) 2240
63.0%
Uppercase Letter
ValueCountFrequency (%)
P 44
38.3%
C 44
38.3%
D 14
 
12.2%
V 10
 
8.7%
T 2
 
1.7%
A 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 758
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3555
80.3%
Common 758
 
17.1%
Latin 116
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 203
 
5.7%
기 198
 
5.6%
스 132
 
3.7%
용 127
 
3.6%
프 116
 
3.3%
의 116
 
3.3%
류 116
 
3.3%
주 115
 
3.2%
변 101
 
2.8%
터 91
 
2.6%
Other values (162) 2240
63.0%
Latin
ValueCountFrequency (%)
P 44
37.9%
C 44
37.9%
D 14
 
12.1%
V 10
 
8.6%
T 2
 
1.7%
e 1
 
0.9%
A 1
 
0.9%
Common
ValueCountFrequency (%)
/ 758
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3555
80.3%
ASCII 874
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 758
86.7%
P 44
 
5.0%
C 44
 
5.0%
D 14
 
1.6%
V 10
 
1.1%
T 2
 
0.2%
e 1
 
0.1%
A 1
 
0.1%
Hangul
ValueCountFrequency (%)
품 203
 
5.7%
기 198
 
5.6%
스 132
 
3.7%
용 127
 
3.6%
프 116
 
3.3%
의 116
 
3.3%
류 116
 
3.3%
주 115
 
3.2%
변 101
 
2.8%
터 91
 
2.6%
Other values (162) 2240
63.0%

제휴카테고리명(중)
Text

Distinct157
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T16:37:51.657991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length6.6278027
Min length2

Characters and Unicode

Total characters2956
Distinct characters275
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)14.3%

Sample

1st row패션트레이닝복
2nd row패션트레이닝복
3rd row잠옷/이지웨어/슬립
4th row기능화/워킹화
5th row우산/우의/코디용잡화
ValueCountFrequency (%)
아이언 17
 
3.8%
그래픽/사운드/영상 13
 
2.9%
드라이버 13
 
2.9%
케이블/젠더 12
 
2.7%
자전거용품 11
 
2.5%
등산장비용품 10
 
2.2%
ssd 9
 
2.0%
골프화 8
 
1.8%
골프공 8
 
1.8%
남성패션잡화 8
 
1.8%
Other values (147) 337
75.6%
2023-12-12T16:37:52.173309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 288
 
9.7%
이 106
 
3.6%
스 87
 
2.9%
품 87
 
2.9%
드 72
 
2.4%
용 71
 
2.4%
트 47
 
1.6%
리 47
 
1.6%
D 44
 
1.5%
프 43
 
1.5%
Other values (265) 2064
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2479
83.9%
Other Punctuation 288
 
9.7%
Uppercase Letter 181
 
6.1%
Decimal Number 6
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 106
 
4.3%
스 87
 
3.5%
품 87
 
3.5%
드 72
 
2.9%
용 71
 
2.9%
트 47
 
1.9%
리 47
 
1.9%
프 43
 
1.7%
전 40
 
1.6%
기 38
 
1.5%
Other values (244) 1841
74.3%
Uppercase Letter
ValueCountFrequency (%)
D 44
24.3%
S 28
15.5%
C 24
13.3%
P 17
 
9.4%
V 11
 
6.1%
B 6
 
3.3%
U 6
 
3.3%
H 6
 
3.3%
T 5
 
2.8%
I 5
 
2.8%
Other values (8) 29
16.0%
Other Punctuation
ValueCountFrequency (%)
/ 288
100.0%
Decimal Number
ValueCountFrequency (%)
3 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2479
83.9%
Common 294
 
9.9%
Latin 183
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 106
 
4.3%
스 87
 
3.5%
품 87
 
3.5%
드 72
 
2.9%
용 71
 
2.9%
트 47
 
1.9%
리 47
 
1.9%
프 43
 
1.7%
전 40
 
1.6%
기 38
 
1.5%
Other values (244) 1841
74.3%
Latin
ValueCountFrequency (%)
D 44
24.0%
S 28
15.3%
C 24
13.1%
P 17
 
9.3%
V 11
 
6.0%
B 6
 
3.3%
U 6
 
3.3%
H 6
 
3.3%
T 5
 
2.7%
I 5
 
2.7%
Other values (9) 31
16.9%
Common
ValueCountFrequency (%)
/ 288
98.0%
3 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2479
83.9%
ASCII 477
 
16.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 288
60.4%
D 44
 
9.2%
S 28
 
5.9%
C 24
 
5.0%
P 17
 
3.6%
V 11
 
2.3%
3 6
 
1.3%
B 6
 
1.3%
U 6
 
1.3%
H 6
 
1.3%
Other values (11) 41
 
8.6%
Hangul
ValueCountFrequency (%)
이 106
 
4.3%
스 87
 
3.5%
품 87
 
3.5%
드 72
 
2.9%
용 71
 
2.9%
트 47
 
1.9%
리 47
 
1.9%
프 43
 
1.7%
전 40
 
1.6%
기 38
 
1.5%
Other values (244) 1841
74.3%

제휴카테고리명(하)
Text

MISSING 

Distinct273
Distinct (%)62.5%
Missing9
Missing (%)2.0%
Memory size3.6 KiB
2023-12-12T16:37:52.484582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.9359268
Min length2

Characters and Unicode

Total characters2594
Distinct characters357
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)42.3%

Sample

1st row패션트레이닝하의
2nd row패션트레이닝하의
3rd row머플러
4th row지갑/벨트
5th row토마토
ValueCountFrequency (%)
사운드카드 14
 
3.2%
기타브랜드 11
 
2.5%
지갑/벨트 8
 
1.8%
테일러메이드 7
 
1.6%
캘러웨이 7
 
1.6%
스캐너 6
 
1.4%
ups 6
 
1.4%
중고클럽 5
 
1.1%
패션트레이닝하의 5
 
1.1%
멀티탭 4
 
0.9%
Other values (263) 364
83.3%
2023-12-12T16:37:52.966955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 196
 
7.6%
이 89
 
3.4%
스 76
 
2.9%
드 75
 
2.9%
기 56
 
2.2%
트 47
 
1.8%
타 40
 
1.5%
리 37
 
1.4%
용 35
 
1.3%
카 30
 
1.2%
Other values (347) 1913
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2209
85.2%
Other Punctuation 196
 
7.6%
Uppercase Letter 152
 
5.9%
Decimal Number 31
 
1.2%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 89
 
4.0%
스 76
 
3.4%
드 75
 
3.4%
기 56
 
2.5%
트 47
 
2.1%
타 40
 
1.8%
리 37
 
1.7%
용 35
 
1.6%
카 30
 
1.4%
장 28
 
1.3%
Other values (317) 1696
76.8%
Uppercase Letter
ValueCountFrequency (%)
D 19
12.5%
P 19
12.5%
B 16
10.5%
G 14
9.2%
U 13
8.6%
V 11
7.2%
C 11
7.2%
S 10
6.6%
T 9
5.9%
I 8
 
5.3%
Other values (7) 22
14.5%
Decimal Number
ValueCountFrequency (%)
0 8
25.8%
1 7
22.6%
2 4
12.9%
6 3
 
9.7%
5 3
 
9.7%
3 2
 
6.5%
8 2
 
6.5%
4 1
 
3.2%
7 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
33.3%
m 2
33.3%
i 2
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2209
85.2%
Common 227
 
8.8%
Latin 158
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 89
 
4.0%
스 76
 
3.4%
드 75
 
3.4%
기 56
 
2.5%
트 47
 
2.1%
타 40
 
1.8%
리 37
 
1.7%
용 35
 
1.6%
카 30
 
1.4%
장 28
 
1.3%
Other values (317) 1696
76.8%
Latin
ValueCountFrequency (%)
D 19
12.0%
P 19
12.0%
B 16
10.1%
G 14
8.9%
U 13
8.2%
V 11
 
7.0%
C 11
 
7.0%
S 10
 
6.3%
T 9
 
5.7%
I 8
 
5.1%
Other values (10) 28
17.7%
Common
ValueCountFrequency (%)
/ 196
86.3%
0 8
 
3.5%
1 7
 
3.1%
2 4
 
1.8%
6 3
 
1.3%
5 3
 
1.3%
3 2
 
0.9%
8 2
 
0.9%
4 1
 
0.4%
7 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2209
85.2%
ASCII 385
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 196
50.9%
D 19
 
4.9%
P 19
 
4.9%
B 16
 
4.2%
G 14
 
3.6%
U 13
 
3.4%
V 11
 
2.9%
C 11
 
2.9%
S 10
 
2.6%
T 9
 
2.3%
Other values (20) 67
 
17.4%
Hangul
ValueCountFrequency (%)
이 89
 
4.0%
스 76
 
3.4%
드 75
 
3.4%
기 56
 
2.5%
트 47
 
2.1%
타 40
 
1.8%
리 37
 
1.7%
용 35
 
1.6%
카 30
 
1.4%
장 28
 
1.3%
Other values (317) 1696
76.8%

최하위여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size578.0 B
False
446 
ValueCountFrequency (%)
False 446
100.0%
2023-12-12T16:37:53.111831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기준카테고리명(상)
Categorical

Distinct40
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
컴퓨터부품/주변기기
104 
골프클럽/의류/용품
92 
자전거/헬스/스포츠
62 
저장장치/USB/메모리
26 
등산/캠핑/낚시/보드
25 
Other values (35)
137 

Length

Max length17
Median length10
Mean length9.8206278
Min length4

Unique

Unique10 ?
Unique (%)2.2%

Sample

1st row여성의류
2nd row여성의류
3rd row언더웨어/잠옷
4th row여성화/남성화/스니커즈
5th row가방/패션잡화

Common Values

ValueCountFrequency (%)
컴퓨터부품/주변기기 104
23.3%
골프클럽/의류/용품 92
20.6%
자전거/헬스/스포츠 62
13.9%
저장장치/USB/메모리 26
 
5.8%
등산/캠핑/낚시/보드 25
 
5.6%
스포츠/레저기타 21
 
4.7%
수입명품 12
 
2.7%
여성화/남성화/스니커즈 10
 
2.2%
주방/생활/이미용가전 8
 
1.8%
스포츠의류/트레이닝 7
 
1.6%
Other values (30) 79
17.7%

Length

2023-12-12T16:37:53.233934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
컴퓨터부품/주변기기 104
23.3%
골프클럽/의류/용품 92
20.6%
자전거/헬스/스포츠 62
13.9%
저장장치/usb/메모리 26
 
5.8%
등산/캠핑/낚시/보드 25
 
5.6%
스포츠/레저기타 21
 
4.7%
수입명품 12
 
2.7%
여성화/남성화/스니커즈 10
 
2.2%
주방/생활/이미용가전 8
 
1.8%
스포츠의류/트레이닝 7
 
1.6%
Other values (29) 79
17.7%

기준카테고리명(중)
Text

Distinct128
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T16:37:53.449519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.6547085
Min length2

Characters and Unicode

Total characters2522
Distinct characters250
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)10.8%

Sample

1st row트레이닝복
2nd row트레이닝복
3rd row잠옷/이지웨어/슬립
4th row기능화
5th row우산/양산/소품
ValueCountFrequency (%)
자전거용품 23
 
5.2%
아이언 17
 
3.8%
등산장비용품 17
 
3.8%
pc조립카드 14
 
3.1%
드라이버 13
 
2.9%
케이블/젠더 11
 
2.5%
헬스기구 10
 
2.2%
네트워크장비 9
 
2.0%
ssd 9
 
2.0%
소모품/액세서리 9
 
2.0%
Other values (118) 314
70.4%
2023-12-12T16:37:53.818360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 143
 
5.7%
품 117
 
4.6%
이 99
 
3.9%
용 84
 
3.3%
스 83
 
3.3%
드 64
 
2.5%
프 49
 
1.9%
리 48
 
1.9%
전 43
 
1.7%
트 41
 
1.6%
Other values (240) 1751
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2214
87.8%
Uppercase Letter 159
 
6.3%
Other Punctuation 143
 
5.7%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 117
 
5.3%
이 99
 
4.5%
용 84
 
3.8%
스 83
 
3.7%
드 64
 
2.9%
프 49
 
2.2%
리 48
 
2.2%
전 43
 
1.9%
트 41
 
1.9%
기 39
 
1.8%
Other values (221) 1547
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 29
18.2%
C 29
18.2%
D 26
16.4%
P 23
14.5%
U 10
 
6.3%
B 7
 
4.4%
H 6
 
3.8%
T 6
 
3.8%
I 6
 
3.8%
V 6
 
3.8%
Other values (5) 11
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
x 2
33.3%
i 2
33.3%
v 2
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2214
87.8%
Latin 165
 
6.5%
Common 143
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 117
 
5.3%
이 99
 
4.5%
용 84
 
3.8%
스 83
 
3.7%
드 64
 
2.9%
프 49
 
2.2%
리 48
 
2.2%
전 43
 
1.9%
트 41
 
1.9%
기 39
 
1.8%
Other values (221) 1547
69.9%
Latin
ValueCountFrequency (%)
S 29
17.6%
C 29
17.6%
D 26
15.8%
P 23
13.9%
U 10
 
6.1%
B 7
 
4.2%
H 6
 
3.6%
T 6
 
3.6%
I 6
 
3.6%
V 6
 
3.6%
Other values (8) 17
10.3%
Common
ValueCountFrequency (%)
/ 143
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2212
87.7%
ASCII 308
 
12.2%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 143
46.4%
S 29
 
9.4%
C 29
 
9.4%
D 26
 
8.4%
P 23
 
7.5%
U 10
 
3.2%
B 7
 
2.3%
H 6
 
1.9%
T 6
 
1.9%
I 6
 
1.9%
Other values (9) 23
 
7.5%
Hangul
ValueCountFrequency (%)
품 117
 
5.3%
이 99
 
4.5%
용 84
 
3.8%
스 83
 
3.8%
드 64
 
2.9%
프 49
 
2.2%
리 48
 
2.2%
전 43
 
1.9%
트 41
 
1.9%
기 39
 
1.8%
Other values (220) 1545
69.8%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
100.0%

기준카테고리명(하)
Text

Distinct320
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T16:37:54.070189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length5.838565
Min length2

Characters and Unicode

Total characters2604
Distinct characters386
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)53.1%

Sample

1st row트레이닝하의/팬츠/스커트
2nd row트레이닝하의/팬츠/스커트
3rd row캐미솔/슬립
4th row워킹화
5th row우산/우의
ValueCountFrequency (%)
기타브랜드 10
 
2.2%
캘러웨이 7
 
1.6%
테일러메이드 7
 
1.6%
기타 4
 
0.9%
니트긴팔/반팔 4
 
0.9%
핫팩/손난로/방한용품 4
 
0.9%
나이키 3
 
0.7%
본품 3
 
0.7%
야마하/다이와 3
 
0.7%
캐디백 3
 
0.7%
Other values (310) 398
89.2%
2023-12-12T16:37:54.471360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 192
 
7.4%
이 89
 
3.4%
스 82
 
3.1%
드 64
 
2.5%
기 56
 
2.2%
트 45
 
1.7%
타 39
 
1.5%
리 34
 
1.3%
용 33
 
1.3%
라 29
 
1.1%
Other values (376) 1941
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2236
85.9%
Other Punctuation 192
 
7.4%
Uppercase Letter 117
 
4.5%
Decimal Number 51
 
2.0%
Lowercase Letter 7
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 89
 
4.0%
스 82
 
3.7%
드 64
 
2.9%
기 56
 
2.5%
트 45
 
2.0%
타 39
 
1.7%
리 34
 
1.5%
용 33
 
1.5%
라 29
 
1.3%
마 29
 
1.3%
Other values (338) 1736
77.6%
Uppercase Letter
ValueCountFrequency (%)
B 17
14.5%
D 15
12.8%
G 10
8.5%
T 10
8.5%
V 8
 
6.8%
C 8
 
6.8%
P 7
 
6.0%
U 7
 
6.0%
S 7
 
6.0%
M 5
 
4.3%
Other values (11) 23
19.7%
Decimal Number
ValueCountFrequency (%)
0 17
33.3%
1 9
17.6%
5 5
 
9.8%
2 5
 
9.8%
6 4
 
7.8%
3 3
 
5.9%
8 3
 
5.9%
4 2
 
3.9%
7 2
 
3.9%
9 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
28.6%
m 2
28.6%
x 1
14.3%
v 1
14.3%
i 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2236
85.9%
Common 244
 
9.4%
Latin 124
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 89
 
4.0%
스 82
 
3.7%
드 64
 
2.9%
기 56
 
2.5%
트 45
 
2.0%
타 39
 
1.7%
리 34
 
1.5%
용 33
 
1.5%
라 29
 
1.3%
마 29
 
1.3%
Other values (338) 1736
77.6%
Latin
ValueCountFrequency (%)
B 17
13.7%
D 15
12.1%
G 10
 
8.1%
T 10
 
8.1%
V 8
 
6.5%
C 8
 
6.5%
P 7
 
5.6%
U 7
 
5.6%
S 7
 
5.6%
M 5
 
4.0%
Other values (16) 30
24.2%
Common
ValueCountFrequency (%)
/ 192
78.7%
0 17
 
7.0%
1 9
 
3.7%
5 5
 
2.0%
2 5
 
2.0%
6 4
 
1.6%
3 3
 
1.2%
8 3
 
1.2%
4 2
 
0.8%
7 2
 
0.8%
Other values (2) 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2234
85.8%
ASCII 368
 
14.1%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 192
52.2%
B 17
 
4.6%
0 17
 
4.6%
D 15
 
4.1%
G 10
 
2.7%
T 10
 
2.7%
1 9
 
2.4%
V 8
 
2.2%
C 8
 
2.2%
P 7
 
1.9%
Other values (28) 75
 
20.4%
Hangul
ValueCountFrequency (%)
이 89
 
4.0%
스 82
 
3.7%
드 64
 
2.9%
기 56
 
2.5%
트 45
 
2.0%
타 39
 
1.7%
리 34
 
1.5%
용 33
 
1.5%
라 29
 
1.3%
마 29
 
1.3%
Other values (337) 1734
77.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

기준마지막카테고리여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size578.0 B
True
446 
ValueCountFrequency (%)
True 446
100.0%
2023-12-12T16:37:54.603987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:37:54.659402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제휴카테고리명(상)기준카테고리명(상)
제휴카테고리명(상)1.0000.997
기준카테고리명(상)0.9971.000

Missing values

2023-12-12T16:37:50.065309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:37:50.207337image/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

기준연도기준월제휴카테고리명(상)제휴카테고리명(중)제휴카테고리명(하)최하위여부기준카테고리명(상)기준카테고리명(중)기준카테고리명(하)기준마지막카테고리여부
020209여성의류패션트레이닝복패션트레이닝하의N여성의류트레이닝복트레이닝하의/팬츠/스커트Y
120209여성의류패션트레이닝복패션트레이닝하의N여성의류트레이닝복트레이닝하의/팬츠/스커트Y
220209언더웨어/잠옷/보정속옷잠옷/이지웨어/슬립<NA>N언더웨어/잠옷잠옷/이지웨어/슬립캐미솔/슬립Y
320209여성화/남성화/스니커즈기능화/워킹화<NA>N여성화/남성화/스니커즈기능화워킹화Y
420209가방/패션잡화우산/우의/코디용잡화<NA>N가방/패션잡화우산/양산/소품우산/우의Y
520209가방/패션잡화머플러/스카프/숄머플러N가방/패션잡화머플러/스카프/숄면/기본머플러Y
620209해외쇼핑남성패션잡화지갑/벨트N수입명품패션소품벨트Y
720209쌀/과일/농수축산물국내산과일토마토N쌀/과일/농수축산물국내산과일토마토/방울토마토Y
820209쌀/과일/정육/수산물쇠고기/등심/정육/사골롯데백화점축산관N쌀/과일/농수축산물한우한우선물세트Y
920209건강식품/홍삼/다이어트클로렐라/스피루리나<NA>N건강식품/다이어트클로렐라/스피루리나클로렐라Y
기준연도기준월제휴카테고리명(상)제휴카테고리명(중)제휴카테고리명(하)최하위여부기준카테고리명(상)기준카테고리명(중)기준카테고리명(하)기준마지막카테고리여부
43620209등산/아웃도어/캠핑/낚시낚시공통장비낚시줄N등산/캠핑/낚시/보드낚시용품공동장비Y
43720209도서/음반/DVD취업/수험서/자격증공인중개사/주택관리사N도서/음반/DVD>수험서/자격증공인중개/주택관리공인중개사Y
43820209자전거/헬스/다이어트헬멧/보호구/장갑/토시장갑/토시N자전거/헬스/스포츠자전거용품토시/쿨토시/장갑Y
43920209PC주변/프린터/복합기공CD/DVDCD/DVD관리용품N컴퓨터부품/주변기기공디스크/보관함공CDY
44020209PC부품/주변기기타블렛/포인터타블렛/디지털펜N컴퓨터부품/주변기기타블렛액세서리Y
44120209도서/음반/DVDDVD/블루레이다큐멘터리/교육N컴퓨터부품/주변기기공디스크/보관함블루레이Y
44220209PC주변/프린터/복합기DiVX플레이어DiVX케이스/기타N저장장치/USB/메모리Divx플레이어본품Y
44320209자전거/헬스/다이어트자전거의류/신발/잡화두건/마스크/머플러N자전거/헬스/스포츠자전거의류/신발상하의세트Y
44420209PC주변/프린터/복합기공CD/DVDCD/DVD관리용품N컴퓨터부품/주변기기공디스크/보관함공DVDY
44520209스포츠의류/운동화/용품스포츠가방/잡화깔창/신발끈N자전거/헬스/스포츠런닝/마라톤런닝백팩/캐리어/물통Y

Duplicate rows

Most frequently occurring

기준연도기준월제휴카테고리명(상)제휴카테고리명(중)제휴카테고리명(하)최하위여부기준카테고리명(상)기준카테고리명(중)기준카테고리명(하)기준마지막카테고리여부# duplicates
2420209자전거/헬스/스포츠자전거용품펌프/공구/펑크패치N자전거/헬스/스포츠자전거용품펌프/공구/펑크패치Y3
020209골프클럽/의류/용품골프백캐디백N골프클럽/의류/용품골프백캐디백Y2
120209골프클럽/의류/용품골프의류남성니트긴팔/반팔N골프클럽/의류/용품골프의류남성니트긴팔/반팔Y2
220209골프클럽/의류/용품골프의류여성니트긴팔/반팔N골프클럽/의류/용품골프의류여성니트긴팔/반팔Y2
320209골프클럽/의류/용품골프의류여성셔츠긴팔/반팔N골프클럽/의류/용품골프의류여성셔츠긴팔/반팔Y2
420209골프클럽/의류/용품드라이버기타브랜드N골프클럽/의류/용품드라이버기타브랜드Y2
520209골프클럽/의류/용품드라이버캘러웨이N골프클럽/의류/용품드라이버캘러웨이Y2
620209골프클럽/의류/용품드라이버테일러메이드N골프클럽/의류/용품드라이버테일러메이드Y2
720209골프클럽/의류/용품아이언기타브랜드N골프클럽/의류/용품아이언기타브랜드Y2
820209골프클럽/의류/용품아이언미즈노N골프클럽/의류/용품아이언미즈노Y2