Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows56
Duplicate rows (%)0.6%
Total size in memory468.8 KiB
Average record size in memory48.0 B

Variable types

Text4
Categorical1

Dataset

Description서울시 양천구 지역화폐인 양천사랑상품권,제로페이를 사용할 수 있는 가맹점 현황으로 상호명, 가맹점명, 업종, 소재지주소 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15084609/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 56 (0.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 03:20:03.478860
Analysis finished2023-12-12 03:20:05.747537
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct9548
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T12:20:06.020232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length7.3168
Min length1

Characters and Unicode

Total characters73168
Distinct characters1074
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9258 ?
Unique (%)92.6%

Sample

1st row프라이드골프존
2nd row달다랗다
3rd row59쌀피자
4th row서울의류
5th row제일수산
ValueCountFrequency (%)
목동점 167
 
1.3%
주식회사 156
 
1.2%
아모레 48
 
0.4%
gs25 47
 
0.4%
신정점 44
 
0.3%
목동 42
 
0.3%
아모레카운셀러 40
 
0.3%
신월점 39
 
0.3%
이마트24 35
 
0.3%
양천구청점 31
 
0.2%
Other values (10318) 12246
95.0%
2023-12-12T12:20:06.616543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3131
 
4.3%
이 1630
 
2.2%
스 1591
 
2.2%
점 1545
 
2.1%
동 1346
 
1.8%
원 1321
 
1.8%
목 1179
 
1.6%
리 1138
 
1.6%
어 1123
 
1.5%
학 1111
 
1.5%
Other values (1064) 58053
79.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64349
87.9%
Space Separator 3131
 
4.3%
Uppercase Letter 1858
 
2.5%
Lowercase Letter 1085
 
1.5%
Decimal Number 1000
 
1.4%
Open Punctuation 750
 
1.0%
Close Punctuation 746
 
1.0%
Other Punctuation 211
 
0.3%
Dash Punctuation 28
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1630
 
2.5%
스 1591
 
2.5%
점 1545
 
2.4%
동 1346
 
2.1%
원 1321
 
2.1%
목 1179
 
1.8%
리 1138
 
1.8%
어 1123
 
1.7%
학 1111
 
1.7%
소 950
 
1.5%
Other values (985) 51415
79.9%
Uppercase Letter
ValueCountFrequency (%)
S 221
 
11.9%
C 165
 
8.9%
G 134
 
7.2%
E 105
 
5.7%
O 98
 
5.3%
A 97
 
5.2%
U 94
 
5.1%
T 90
 
4.8%
M 89
 
4.8%
I 83
 
4.5%
Other values (16) 682
36.7%
Lowercase Letter
ValueCountFrequency (%)
e 146
13.5%
o 115
10.6%
i 89
 
8.2%
a 89
 
8.2%
l 82
 
7.6%
n 71
 
6.5%
t 59
 
5.4%
s 57
 
5.3%
r 52
 
4.8%
c 45
 
4.1%
Other values (16) 280
25.8%
Decimal Number
ValueCountFrequency (%)
2 255
25.5%
1 185
18.5%
5 157
15.7%
4 103
10.3%
3 94
 
9.4%
0 69
 
6.9%
7 40
 
4.0%
9 36
 
3.6%
8 32
 
3.2%
6 29
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 83
39.3%
& 73
34.6%
, 22
 
10.4%
# 15
 
7.1%
' 9
 
4.3%
? 4
 
1.9%
/ 3
 
1.4%
! 1
 
0.5%
; 1
 
0.5%
Space Separator
ValueCountFrequency (%)
3131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 750
100.0%
Close Punctuation
ValueCountFrequency (%)
) 746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64345
87.9%
Common 5875
 
8.0%
Latin 2943
 
4.0%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1630
 
2.5%
스 1591
 
2.5%
점 1545
 
2.4%
동 1346
 
2.1%
원 1321
 
2.1%
목 1179
 
1.8%
리 1138
 
1.8%
어 1123
 
1.7%
학 1111
 
1.7%
소 950
 
1.5%
Other values (981) 51411
79.9%
Latin
ValueCountFrequency (%)
S 221
 
7.5%
C 165
 
5.6%
e 146
 
5.0%
G 134
 
4.6%
o 115
 
3.9%
E 105
 
3.6%
O 98
 
3.3%
A 97
 
3.3%
U 94
 
3.2%
T 90
 
3.1%
Other values (42) 1678
57.0%
Common
ValueCountFrequency (%)
3131
53.3%
( 750
 
12.8%
) 746
 
12.7%
2 255
 
4.3%
1 185
 
3.1%
5 157
 
2.7%
4 103
 
1.8%
3 94
 
1.6%
. 83
 
1.4%
& 73
 
1.2%
Other values (16) 298
 
5.1%
Han
ValueCountFrequency (%)
情 1
20.0%
眞 1
20.0%
美 1
20.0%
毛 1
20.0%
家 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64344
87.9%
ASCII 8818
 
12.1%
CJK 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3131
35.5%
( 750
 
8.5%
) 746
 
8.5%
2 255
 
2.9%
S 221
 
2.5%
1 185
 
2.1%
C 165
 
1.9%
5 157
 
1.8%
e 146
 
1.7%
G 134
 
1.5%
Other values (68) 2928
33.2%
Hangul
ValueCountFrequency (%)
이 1630
 
2.5%
스 1591
 
2.5%
점 1545
 
2.4%
동 1346
 
2.1%
원 1321
 
2.1%
목 1179
 
1.8%
리 1138
 
1.8%
어 1123
 
1.7%
학 1111
 
1.7%
소 950
 
1.5%
Other values (980) 51410
79.9%
CJK
ValueCountFrequency (%)
情 1
20.0%
眞 1
20.0%
美 1
20.0%
毛 1
20.0%
家 1
20.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

가맹점명
Text

Distinct9548
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T12:20:07.016474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length7.3168
Min length1

Characters and Unicode

Total characters73168
Distinct characters1074
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9258 ?
Unique (%)92.6%

Sample

1st row프라이드골프존
2nd row달다랗다
3rd row59쌀피자
4th row서울의류
5th row제일수산
ValueCountFrequency (%)
목동점 167
 
1.3%
주식회사 156
 
1.2%
아모레 48
 
0.4%
gs25 47
 
0.4%
신정점 44
 
0.3%
목동 42
 
0.3%
아모레카운셀러 40
 
0.3%
신월점 39
 
0.3%
이마트24 35
 
0.3%
양천구청점 31
 
0.2%
Other values (10318) 12246
95.0%
2023-12-12T12:20:07.624301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3131
 
4.3%
이 1630
 
2.2%
스 1591
 
2.2%
점 1545
 
2.1%
동 1346
 
1.8%
원 1321
 
1.8%
목 1179
 
1.6%
리 1138
 
1.6%
어 1123
 
1.5%
학 1111
 
1.5%
Other values (1064) 58053
79.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64349
87.9%
Space Separator 3131
 
4.3%
Uppercase Letter 1858
 
2.5%
Lowercase Letter 1085
 
1.5%
Decimal Number 1000
 
1.4%
Open Punctuation 750
 
1.0%
Close Punctuation 746
 
1.0%
Other Punctuation 211
 
0.3%
Dash Punctuation 28
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1630
 
2.5%
스 1591
 
2.5%
점 1545
 
2.4%
동 1346
 
2.1%
원 1321
 
2.1%
목 1179
 
1.8%
리 1138
 
1.8%
어 1123
 
1.7%
학 1111
 
1.7%
소 950
 
1.5%
Other values (985) 51415
79.9%
Uppercase Letter
ValueCountFrequency (%)
S 221
 
11.9%
C 165
 
8.9%
G 134
 
7.2%
E 105
 
5.7%
O 98
 
5.3%
A 97
 
5.2%
U 94
 
5.1%
T 90
 
4.8%
M 89
 
4.8%
I 83
 
4.5%
Other values (16) 682
36.7%
Lowercase Letter
ValueCountFrequency (%)
e 146
13.5%
o 115
10.6%
i 89
 
8.2%
a 89
 
8.2%
l 82
 
7.6%
n 71
 
6.5%
t 59
 
5.4%
s 57
 
5.3%
r 52
 
4.8%
c 45
 
4.1%
Other values (16) 280
25.8%
Decimal Number
ValueCountFrequency (%)
2 255
25.5%
1 185
18.5%
5 157
15.7%
4 103
10.3%
3 94
 
9.4%
0 69
 
6.9%
7 40
 
4.0%
9 36
 
3.6%
8 32
 
3.2%
6 29
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 83
39.3%
& 73
34.6%
, 22
 
10.4%
# 15
 
7.1%
' 9
 
4.3%
? 4
 
1.9%
/ 3
 
1.4%
! 1
 
0.5%
; 1
 
0.5%
Space Separator
ValueCountFrequency (%)
3131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 750
100.0%
Close Punctuation
ValueCountFrequency (%)
) 746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64345
87.9%
Common 5875
 
8.0%
Latin 2943
 
4.0%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1630
 
2.5%
스 1591
 
2.5%
점 1545
 
2.4%
동 1346
 
2.1%
원 1321
 
2.1%
목 1179
 
1.8%
리 1138
 
1.8%
어 1123
 
1.7%
학 1111
 
1.7%
소 950
 
1.5%
Other values (981) 51411
79.9%
Latin
ValueCountFrequency (%)
S 221
 
7.5%
C 165
 
5.6%
e 146
 
5.0%
G 134
 
4.6%
o 115
 
3.9%
E 105
 
3.6%
O 98
 
3.3%
A 97
 
3.3%
U 94
 
3.2%
T 90
 
3.1%
Other values (42) 1678
57.0%
Common
ValueCountFrequency (%)
3131
53.3%
( 750
 
12.8%
) 746
 
12.7%
2 255
 
4.3%
1 185
 
3.1%
5 157
 
2.7%
4 103
 
1.8%
3 94
 
1.6%
. 83
 
1.4%
& 73
 
1.2%
Other values (16) 298
 
5.1%
Han
ValueCountFrequency (%)
情 1
20.0%
眞 1
20.0%
美 1
20.0%
毛 1
20.0%
家 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64344
87.9%
ASCII 8818
 
12.1%
CJK 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3131
35.5%
( 750
 
8.5%
) 746
 
8.5%
2 255
 
2.9%
S 221
 
2.5%
1 185
 
2.1%
C 165
 
1.9%
5 157
 
1.8%
e 146
 
1.7%
G 134
 
1.5%
Other values (68) 2928
33.2%
Hangul
ValueCountFrequency (%)
이 1630
 
2.5%
스 1591
 
2.5%
점 1545
 
2.4%
동 1346
 
2.1%
원 1321
 
2.1%
목 1179
 
1.8%
리 1138
 
1.8%
어 1123
 
1.7%
학 1111
 
1.7%
소 950
 
1.5%
Other values (980) 51410
79.9%
CJK
ValueCountFrequency (%)
情 1
20.0%
眞 1
20.0%
美 1
20.0%
毛 1
20.0%
家 1
20.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종
Text

Distinct163
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T12:20:07.996350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.2404
Min length2

Characters and Unicode

Total characters52404
Distinct characters246
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.3%

Sample

1st row실내골프장
2nd row일반대중음식
3rd row패스트푸드
4th row남.여기성복
5th row농수산물
ValueCountFrequency (%)
일반전문학원 1635
 
15.5%
한식 1024
 
9.7%
일반대중음식 1007
 
9.5%
이용,미용 686
 
6.5%
편의점 298
 
2.8%
스포츠센타/레포츠클럽 282
 
2.7%
식품잡화 252
 
2.4%
남.여기성복 216
 
2.0%
화장품 181
 
1.7%
약국 162
 
1.5%
Other values (169) 4816
45.6%
2023-12-12T12:20:08.546349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2754
 
5.3%
반 2646
 
5.0%
식 2599
 
5.0%
원 2343
 
4.5%
, 2043
 
3.9%
전 1904
 
3.6%
문 1902
 
3.6%
용 1731
 
3.3%
학 1645
 
3.1%
한 1268
 
2.4%
Other values (236) 31569
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47605
90.8%
Other Punctuation 2667
 
5.1%
Space Separator 1118
 
2.1%
Uppercase Letter 629
 
1.2%
Open Punctuation 174
 
0.3%
Close Punctuation 174
 
0.3%
Decimal Number 37
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2754
 
5.8%
반 2646
 
5.6%
식 2599
 
5.5%
원 2343
 
4.9%
전 1904
 
4.0%
문 1902
 
4.0%
용 1731
 
3.6%
학 1645
 
3.5%
한 1268
 
2.7%
중 1148
 
2.4%
Other values (215) 27665
58.1%
Uppercase Letter
ValueCountFrequency (%)
C 166
26.4%
V 138
21.9%
S 138
21.9%
P 68
10.8%
N 39
 
6.2%
E 39
 
6.2%
D 39
 
6.2%
L 1
 
0.2%
G 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 16
43.2%
2 9
24.3%
4 5
 
13.5%
6 5
 
13.5%
0 1
 
2.7%
8 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 2043
76.6%
/ 408
 
15.3%
. 216
 
8.1%
Space Separator
ValueCountFrequency (%)
1118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47605
90.8%
Common 4170
 
8.0%
Latin 629
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2754
 
5.8%
반 2646
 
5.6%
식 2599
 
5.5%
원 2343
 
4.9%
전 1904
 
4.0%
문 1902
 
4.0%
용 1731
 
3.6%
학 1645
 
3.5%
한 1268
 
2.7%
중 1148
 
2.4%
Other values (215) 27665
58.1%
Common
ValueCountFrequency (%)
, 2043
49.0%
1118
26.8%
/ 408
 
9.8%
. 216
 
5.2%
( 174
 
4.2%
) 174
 
4.2%
1 16
 
0.4%
2 9
 
0.2%
4 5
 
0.1%
6 5
 
0.1%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
C 166
26.4%
V 138
21.9%
S 138
21.9%
P 68
10.8%
N 39
 
6.2%
E 39
 
6.2%
D 39
 
6.2%
L 1
 
0.2%
G 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47605
90.8%
ASCII 4799
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2754
 
5.8%
반 2646
 
5.6%
식 2599
 
5.5%
원 2343
 
4.9%
전 1904
 
4.0%
문 1902
 
4.0%
용 1731
 
3.6%
학 1645
 
3.5%
한 1268
 
2.7%
중 1148
 
2.4%
Other values (215) 27665
58.1%
ASCII
ValueCountFrequency (%)
, 2043
42.6%
1118
23.3%
/ 408
 
8.5%
. 216
 
4.5%
( 174
 
3.6%
) 174
 
3.6%
C 166
 
3.5%
V 138
 
2.9%
S 138
 
2.9%
P 68
 
1.4%
Other values (11) 156
 
3.3%

소재지주소
Text

Distinct9493
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T12:20:08.915956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length60
Mean length29.8287
Min length18

Characters and Unicode

Total characters298287
Distinct characters509
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9109 ?
Unique (%)91.1%

Sample

1st row서울특별시 양천구 목동서로 291 지층 103호
2nd row서울특별시 양천구 은행정로6길 22, 1층 왼쪽호 (신정동, 남부빌딩)
3rd row서울특별시 양천구 오목로 151-1, 1층 (신정동)
4th row서울특별시 양천구 목동중앙북로 12 (목동)
5th row서울특별시 양천구 목동중앙북로 24-1 목동
ValueCountFrequency (%)
서울특별시 10002
 
16.6%
양천구 9978
 
16.6%
1층 2890
 
4.8%
목동 1882
 
3.1%
신정동 1809
 
3.0%
신월동 1431
 
2.4%
목동서로 986
 
1.6%
목동동로 879
 
1.5%
2층 776
 
1.3%
오목로 722
 
1.2%
Other values (4722) 28813
47.9%
2023-12-12T12:20:09.563457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51586
 
17.3%
1 14699
 
4.9%
동 13382
 
4.5%
서 11264
 
3.8%
양 10392
 
3.5%
시 10283
 
3.4%
천 10035
 
3.4%
구 10034
 
3.4%
울 10019
 
3.4%
별 10008
 
3.4%
Other values (499) 146585
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172627
57.9%
Decimal Number 53459
 
17.9%
Space Separator 51586
 
17.3%
Other Punctuation 6402
 
2.1%
Open Punctuation 6022
 
2.0%
Close Punctuation 6020
 
2.0%
Dash Punctuation 1587
 
0.5%
Uppercase Letter 495
 
0.2%
Lowercase Letter 49
 
< 0.1%
Math Symbol 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13382
 
7.8%
서 11264
 
6.5%
양 10392
 
6.0%
시 10283
 
6.0%
천 10035
 
5.8%
구 10034
 
5.8%
울 10019
 
5.8%
별 10008
 
5.8%
특 10007
 
5.8%
로 9802
 
5.7%
Other values (446) 67401
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 243
49.1%
A 137
27.7%
C 33
 
6.7%
I 30
 
6.1%
S 11
 
2.2%
M 6
 
1.2%
O 5
 
1.0%
L 4
 
0.8%
K 4
 
0.8%
X 4
 
0.8%
Other values (10) 18
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 14699
27.5%
2 8034
15.0%
0 6606
12.4%
3 6219
11.6%
4 3974
 
7.4%
5 3620
 
6.8%
7 3028
 
5.7%
6 2783
 
5.2%
9 2414
 
4.5%
8 2082
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 9
18.4%
f 9
18.4%
l 8
16.3%
c 6
12.2%
b 5
10.2%
t 5
10.2%
i 4
8.2%
a 2
 
4.1%
k 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 6150
96.1%
. 187
 
2.9%
* 43
 
0.7%
@ 13
 
0.2%
/ 7
 
0.1%
& 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 31
83.8%
～ 6
 
16.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
51586
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1587
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172627
57.9%
Common 125113
41.9%
Latin 547
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13382
 
7.8%
서 11264
 
6.5%
양 10392
 
6.0%
시 10283
 
6.0%
천 10035
 
5.8%
구 10034
 
5.8%
울 10019
 
5.8%
별 10008
 
5.8%
특 10007
 
5.8%
로 9802
 
5.7%
Other values (446) 67401
39.0%
Latin
ValueCountFrequency (%)
B 243
44.4%
A 137
25.0%
C 33
 
6.0%
I 30
 
5.5%
S 11
 
2.0%
e 9
 
1.6%
f 9
 
1.6%
l 8
 
1.5%
c 6
 
1.1%
M 6
 
1.1%
Other values (21) 55
 
10.1%
Common
ValueCountFrequency (%)
51586
41.2%
1 14699
 
11.7%
2 8034
 
6.4%
0 6606
 
5.3%
3 6219
 
5.0%
, 6150
 
4.9%
( 6022
 
4.8%
) 6020
 
4.8%
4 3974
 
3.2%
5 3620
 
2.9%
Other values (12) 12183
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172623
57.9%
ASCII 125651
42.1%
None 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51586
41.1%
1 14699
 
11.7%
2 8034
 
6.4%
0 6606
 
5.3%
3 6219
 
4.9%
, 6150
 
4.9%
( 6022
 
4.8%
) 6020
 
4.8%
4 3974
 
3.2%
5 3620
 
2.9%
Other values (40) 12721
 
10.1%
Hangul
ValueCountFrequency (%)
동 13382
 
7.8%
서 11264
 
6.5%
양 10392
 
6.0%
시 10283
 
6.0%
천 10035
 
5.8%
구 10034
 
5.8%
울 10019
 
5.8%
별 10008
 
5.8%
특 10007
 
5.8%
로 9802
 
5.7%
Other values (442) 67397
39.0%
None
ValueCountFrequency (%)
～ 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
25.0%
ㄷ 1
25.0%
ㅣ 1
25.0%
ㅌ 1
25.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-10
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-10
2nd row2023-08-10
3rd row2023-08-10
4th row2023-08-10
5th row2023-08-10

Common Values

ValueCountFrequency (%)
2023-08-10 10000
100.0%

Length

2023-12-12T12:20:09.775662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:20:09.913590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-10 10000
100.0%

Missing values

2023-12-12T12:20:05.486269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:20:05.672706image/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

상호명가맹점명업종소재지주소데이터기준일자
5656프라이드골프존프라이드골프존실내골프장서울특별시 양천구 목동서로 291 지층 103호2023-08-10
3559달다랗다달다랗다일반대중음식서울특별시 양천구 은행정로6길 22, 1층 왼쪽호 (신정동, 남부빌딩)2023-08-10
295859쌀피자59쌀피자패스트푸드서울특별시 양천구 오목로 151-1, 1층 (신정동)2023-08-10
1911서울의류서울의류남.여기성복서울특별시 양천구 목동중앙북로 12 (목동)2023-08-10
10318제일수산제일수산농수산물서울특별시 양천구 목동중앙북로 24-1 목동2023-08-10
2901태산커피태산커피커피전문점서울특별시 양천구 목동중앙본로 55 1층2023-08-10
3874마트로마트로일반대중음식서울특별시 양천구 남부순환로59길 6, 1층 마트로 (신월동)2023-08-10
1128영어로 말하는 정원 영어교습소영어로 말하는 정원 영어교습소일반전문학원서울특별시 양천구 월정로 279, 1층 (신월동)2023-08-10
5820행복한떡집행복한떡집기타제조업서울특별시 양천구 신정로13길 60 (신월동)2023-08-10
7298오늘과내일수학교습소오늘과내일수학교습소일반전문학원서울특별시 양천구 목동서로 57, 313호 (목동)2023-08-10
상호명가맹점명업종소재지주소데이터기준일자
8674헤어케미헤어케미이용,미용서울특별시 양천구 목동로19길 13, 1층 (신정동)2023-08-10
9521갤러리 골프 아카데미 목동점갤러리 골프 아카데미 목동점스포츠센타/레포츠클럽서울특별시 양천구 중앙로 181 지하2층 B202호2023-08-10
5194조은공조조은공조냉난방기구서울특별시 양천구 월정로27길 21, 302 (신월동)2023-08-10
9243미니스톱 신월선율점미니스톱 신월선율점편의점서울특별시 양천구 월정로36길 5 1층2023-08-10
3382김밥사랑김밥사랑한식서울특별시 양천구 오목로 75 (신월동)2023-08-10
7925매너바이크매너바이크자전거(성인용)서울특별시 양천구 중앙로 224, 1층 (신정동)2023-08-10
6002사월사월일반대중음식서울특별시 양천구 오목로 34 1층2023-08-10
3712두꺼비식당두꺼비식당한식서울특별시 양천구 가로공원로56길 40 (신월동)2023-08-10
1849상마약국상마약국약국서울특별시 양천구 신목로 100-6 (목동)2023-08-10
5749한신마트한신마트식품잡화서울특별시 양천구 지양로17길 41, 지층 A-1 (신월동, 한신빌라)2023-08-10

Duplicate rows

Most frequently occurring

상호명가맹점명업종소재지주소데이터기준일자# duplicates
45주식회사 더블베어스주식회사 더블베어스컴퓨터 소프트웨어서울특별시 영등포구 선유동2로 57 신관16층 양평동 4가 이레빌딩2023-08-1023
34아모레카운셀러아모레카운셀러방문판매서울특별시 양천구 신정중앙로 94, 4층 (신정동, 목마빌딩)2023-08-109
30아모레아모레화장품서울특별시 양천구 공항대로 542, 3층 양서빌딩 (목동)2023-08-107
27아모레아모레화장품서울특별시 양천구 신정5동 902-32023-08-105
33아모레카운셀러아모레카운셀러방문판매서울특별시 양천구 신정중앙로 94 4층2023-08-105
38양천구시설관리공단양천구시설관리공단기타12서울특별시 양천구 목1동 919-5번지 (목동서로188)2023-08-104
25아모레아모레방문판매서울특별시 양천구 공항대로 542, 3층 양서빌딩 (목동)2023-08-103
29아모레아모레화장품서울특별시 양천구 신정5동 908-152023-08-103
32아모레 카운셀러아모레 카운셀러화장품서울특별시 양천구 신정5동 902-3 목마빌딩 3층2023-08-103
35아모레카운셀러아모레카운셀러화장품서울특별시 양천구 신정5동 902-3번지 목마빌딩 3층2023-08-103