Overview

Dataset statistics

Number of variables5
Number of observations7604
Missing cells57
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory297.2 KiB
Average record size in memory40.0 B

Variable types

Text5

Dataset

Description서울특별시 용산구 통신판매업명단(번호 대표자명 법인또는상호 사업자번호 소재지주소)에 대한 데이터를 제공합니다
Author서울특별시 용산구
URLhttps://www.data.go.kr/data/3078036/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:05:54.067554
Analysis finished2023-12-12 14:05:56.204975
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct7604
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
2023-12-12T23:05:56.634104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.8544187
Min length1

Characters and Unicode

Total characters29309
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7604 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
< 0.1%
5063 1
 
< 0.1%
5075 1
 
< 0.1%
5074 1
 
< 0.1%
5073 1
 
< 0.1%
5072 1
 
< 0.1%
5071 1
 
< 0.1%
5070 1
 
< 0.1%
5069 1
 
< 0.1%
5068 1
 
< 0.1%
Other values (7594) 7594
99.9%
2023-12-12T23:05:57.202197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3321
11.3%
2 3321
11.3%
3 3321
11.3%
5 3320
11.3%
4 3320
11.3%
6 3224
11.0%
7 2824
9.6%
8 2220
7.6%
9 2220
7.6%
0 2214
7.6%
Other values (4) 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29305
> 99.9%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3321
11.3%
2 3321
11.3%
3 3321
11.3%
5 3320
11.3%
4 3320
11.3%
6 3224
11.0%
7 2824
9.6%
8 2220
7.6%
9 2220
7.6%
0 2214
7.6%
Other Letter
ValueCountFrequency (%)
주 1
25.0%
식 1
25.0%
회 1
25.0%
사 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29305
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3321
11.3%
2 3321
11.3%
3 3321
11.3%
5 3320
11.3%
4 3320
11.3%
6 3224
11.0%
7 2824
9.6%
8 2220
7.6%
9 2220
7.6%
0 2214
7.6%
Hangul
ValueCountFrequency (%)
주 1
25.0%
식 1
25.0%
회 1
25.0%
사 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29305
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3321
11.3%
2 3321
11.3%
3 3321
11.3%
5 3320
11.3%
4 3320
11.3%
6 3224
11.0%
7 2824
9.6%
8 2220
7.6%
9 2220
7.6%
0 2214
7.6%
Hangul
ValueCountFrequency (%)
주 1
25.0%
식 1
25.0%
회 1
25.0%
사 1
25.0%

대표자명
Text

Distinct6413
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
2023-12-12T23:05:57.547904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length3
Mean length3.2302735
Min length2

Characters and Unicode

Total characters24563
Distinct characters399
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5594 ?
Unique (%)73.6%

Sample

1st row황혜린
2nd row김정민
3rd row김소희
4th row김정웅
5th row홍지연，조정미，LEE JINA
ValueCountFrequency (%)
1명 34
 
0.4%
외 29
 
0.4%
김지훈 10
 
0.1%
김성민 10
 
0.1%
이승현 9
 
0.1%
외1명 8
 
0.1%
이상훈 8
 
0.1%
김희정 8
 
0.1%
이은영 7
 
0.1%
김윤정 7
 
0.1%
Other values (6502) 7675
98.3%
2023-12-12T23:05:58.058401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1659
 
6.8%
이 1190
 
4.8%
정 853
 
3.5%
영 684
 
2.8%
박 641
 
2.6%
진 510
 
2.1%
현 478
 
1.9%
성 462
 
1.9%
희 408
 
1.7%
수 371
 
1.5%
Other values (389) 17307
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23240
94.6%
Uppercase Letter 826
 
3.4%
Space Separator 206
 
0.8%
Other Punctuation 170
 
0.7%
Decimal Number 58
 
0.2%
Lowercase Letter 40
 
0.2%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1659
 
7.1%
이 1190
 
5.1%
정 853
 
3.7%
영 684
 
2.9%
박 641
 
2.8%
진 510
 
2.2%
현 478
 
2.1%
성 462
 
2.0%
희 408
 
1.8%
수 371
 
1.6%
Other values (333) 15984
68.8%
Uppercase Letter
ValueCountFrequency (%)
N 94
 
11.4%
A 88
 
10.7%
I 79
 
9.6%
E 60
 
7.3%
O 51
 
6.2%
H 45
 
5.4%
G 40
 
4.8%
M 39
 
4.7%
R 39
 
4.7%
U 38
 
4.6%
Other values (16) 253
30.6%
Lowercase Letter
ValueCountFrequency (%)
n 6
15.0%
o 5
12.5%
g 3
 
7.5%
i 3
 
7.5%
k 3
 
7.5%
a 3
 
7.5%
b 2
 
5.0%
m 2
 
5.0%
u 2
 
5.0%
h 2
 
5.0%
Other values (7) 9
22.5%
Decimal Number
ValueCountFrequency (%)
1 47
81.0%
3 3
 
5.2%
6 2
 
3.4%
0 2
 
3.4%
2 2
 
3.4%
4 1
 
1.7%
8 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
， 168
98.8%
. 2
 
1.2%
Space Separator
ValueCountFrequency (%)
206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23240
94.6%
Latin 866
 
3.5%
Common 457
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1659
 
7.1%
이 1190
 
5.1%
정 853
 
3.7%
영 684
 
2.9%
박 641
 
2.8%
진 510
 
2.2%
현 478
 
2.1%
성 462
 
2.0%
희 408
 
1.8%
수 371
 
1.6%
Other values (333) 15984
68.8%
Latin
ValueCountFrequency (%)
N 94
 
10.9%
A 88
 
10.2%
I 79
 
9.1%
E 60
 
6.9%
O 51
 
5.9%
H 45
 
5.2%
G 40
 
4.6%
M 39
 
4.5%
R 39
 
4.5%
U 38
 
4.4%
Other values (33) 293
33.8%
Common
ValueCountFrequency (%)
206
45.1%
， 168
36.8%
1 47
 
10.3%
( 10
 
2.2%
) 10
 
2.2%
3 3
 
0.7%
- 3
 
0.7%
6 2
 
0.4%
. 2
 
0.4%
0 2
 
0.4%
Other values (3) 4
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23240
94.6%
ASCII 1155
 
4.7%
None 168
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1659
 
7.1%
이 1190
 
5.1%
정 853
 
3.7%
영 684
 
2.9%
박 641
 
2.8%
진 510
 
2.2%
현 478
 
2.1%
성 462
 
2.0%
희 408
 
1.8%
수 371
 
1.6%
Other values (333) 15984
68.8%
ASCII
ValueCountFrequency (%)
206
17.8%
N 94
 
8.1%
A 88
 
7.6%
I 79
 
6.8%
E 60
 
5.2%
O 51
 
4.4%
1 47
 
4.1%
H 45
 
3.9%
G 40
 
3.5%
M 39
 
3.4%
Other values (45) 406
35.2%
None
ValueCountFrequency (%)
， 168
100.0%

법인또는상호
Text

Distinct7528
Distinct (%)99.0%
Missing2
Missing (%)< 0.1%
Memory size59.5 KiB
2023-12-12T23:05:58.469306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length8.0507761
Min length1

Characters and Unicode

Total characters61202
Distinct characters943
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7456 ?
Unique (%)98.1%

Sample

1st row당신의 하루 HARU
2nd row주식회사 에스오엠코퍼레이션
3rd rowa dream of seed
4th row주식회사 제이투엠투
5th row하우스 오브 콜렉션스(House of Collections)
ValueCountFrequency (%)
주식회사 861
 
8.2%
주 358
 
3.4%
co 38
 
0.4%
ltd 35
 
0.3%
25
 
0.2%
korea 25
 
0.2%
company 23
 
0.2%
컴퍼니 22
 
0.2%
코리아 15
 
0.1%
더 14
 
0.1%
Other values (8490) 9141
86.6%
2023-12-12T23:05:59.100804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3001
 
4.9%
) 2951
 
4.8%
( 2949
 
4.8%
주 2867
 
4.7%
이 2226
 
3.6%
스 1857
 
3.0%
사 1154
 
1.9%
회 922
 
1.5%
식 904
 
1.5%
아 895
 
1.5%
Other values (933) 41476
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41933
68.5%
Uppercase Letter 5054
 
8.3%
Lowercase Letter 4701
 
7.7%
Space Separator 3001
 
4.9%
Close Punctuation 2951
 
4.8%
Open Punctuation 2949
 
4.8%
Other Punctuation 275
 
0.4%
Decimal Number 270
 
0.4%
Dash Punctuation 48
 
0.1%
Other Symbol 10
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2867
 
6.8%
이 2226
 
5.3%
스 1857
 
4.4%
사 1154
 
2.8%
회 922
 
2.2%
식 904
 
2.2%
아 895
 
2.1%
에 833
 
2.0%
리 826
 
2.0%
씨 752
 
1.8%
Other values (850) 28697
68.4%
Lowercase Letter
ValueCountFrequency (%)
e 560
11.9%
o 471
 
10.0%
a 421
 
9.0%
n 353
 
7.5%
i 333
 
7.1%
r 299
 
6.4%
t 297
 
6.3%
l 279
 
5.9%
s 218
 
4.6%
u 169
 
3.6%
Other values (16) 1301
27.7%
Uppercase Letter
ValueCountFrequency (%)
O 416
 
8.2%
A 397
 
7.9%
E 379
 
7.5%
C 362
 
7.2%
S 341
 
6.7%
T 300
 
5.9%
N 282
 
5.6%
I 251
 
5.0%
L 251
 
5.0%
M 249
 
4.9%
Other values (16) 1826
36.1%
Other Punctuation
ValueCountFrequency (%)
. 154
56.0%
& 88
32.0%
' 9
 
3.3%
/ 5
 
1.8%
? 4
 
1.5%
: 4
 
1.5%
! 3
 
1.1%
# 3
 
1.1%
% 2
 
0.7%
; 1
 
0.4%
Other values (2) 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 64
23.7%
1 63
23.3%
4 31
11.5%
9 29
10.7%
0 21
 
7.8%
3 20
 
7.4%
6 13
 
4.8%
5 10
 
3.7%
8 10
 
3.7%
7 9
 
3.3%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
< 1
33.3%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
3001
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2951
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41933
68.5%
Latin 9755
 
15.9%
Common 9504
 
15.5%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2867
 
6.8%
이 2226
 
5.3%
스 1857
 
4.4%
사 1154
 
2.8%
회 922
 
2.2%
식 904
 
2.2%
아 895
 
2.1%
에 833
 
2.0%
리 826
 
2.0%
씨 752
 
1.8%
Other values (841) 28697
68.4%
Latin
ValueCountFrequency (%)
e 560
 
5.7%
o 471
 
4.8%
a 421
 
4.3%
O 416
 
4.3%
A 397
 
4.1%
E 379
 
3.9%
C 362
 
3.7%
n 353
 
3.6%
S 341
 
3.5%
i 333
 
3.4%
Other values (42) 5722
58.7%
Common
ValueCountFrequency (%)
3001
31.6%
) 2951
31.1%
( 2949
31.0%
. 154
 
1.6%
& 88
 
0.9%
2 64
 
0.7%
1 63
 
0.7%
- 48
 
0.5%
4 31
 
0.3%
9 29
 
0.3%
Other values (20) 126
 
1.3%
Han
ValueCountFrequency (%)
李 1
10.0%
本 1
10.0%
美 1
10.0%
資 1
10.0%
韓 1
10.0%
云 1
10.0%
明 1
10.0%
日 1
10.0%
記 1
10.0%
女 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41923
68.5%
ASCII 19258
31.5%
None 11
 
< 0.1%
CJK 8
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3001
15.6%
) 2951
15.3%
( 2949
15.3%
e 560
 
2.9%
o 471
 
2.4%
a 421
 
2.2%
O 416
 
2.2%
A 397
 
2.1%
E 379
 
2.0%
C 362
 
1.9%
Other values (71) 7351
38.2%
Hangul
ValueCountFrequency (%)
주 2867
 
6.8%
이 2226
 
5.3%
스 1857
 
4.4%
사 1154
 
2.8%
회 922
 
2.2%
식 904
 
2.2%
아 895
 
2.1%
에 833
 
2.0%
리 826
 
2.0%
씨 752
 
1.8%
Other values (840) 28687
68.4%
None
ValueCountFrequency (%)
㈜ 10
90.9%
· 1
 
9.1%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
女 1
50.0%
CJK
ValueCountFrequency (%)
本 1
12.5%
美 1
12.5%
資 1
12.5%
韓 1
12.5%
云 1
12.5%
明 1
12.5%
日 1
12.5%
記 1
12.5%

사업자번호
Text

Distinct7409
Distinct (%)97.5%
Missing7
Missing (%)0.1%
Memory size59.5 KiB
2023-12-12T23:05:59.450357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.97657
Min length1

Characters and Unicode

Total characters90986
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7384 ?
Unique (%)97.2%

Sample

1st row849-48-00329
2nd row499-87-00666
3rd row201-09-23536
4th row279-81-00702
5th row812-17-00449
ValueCountFrequency (%)
999-99-99999 151
 
2.0%
17
 
0.2%
106-08-75557 2
 
< 0.1%
569-08-00238 2
 
< 0.1%
666-71-00023 2
 
< 0.1%
106-12-47612 2
 
< 0.1%
106-09-72066 2
 
< 0.1%
106-86-80397 2
 
< 0.1%
106-13-29625 2
 
< 0.1%
106-08-39963 2
 
< 0.1%
Other values (7398) 7413
97.6%
2023-12-12T23:05:59.961208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 15195
16.7%
1 13411
14.7%
0 13342
14.7%
6 10255
11.3%
8 7451
8.2%
2 6209
6.8%
9 5778
 
6.4%
3 5105
 
5.6%
7 4991
 
5.5%
4 4664
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75791
83.3%
Dash Punctuation 15195
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13411
17.7%
0 13342
17.6%
6 10255
13.5%
8 7451
9.8%
2 6209
8.2%
9 5778
7.6%
3 5105
 
6.7%
7 4991
 
6.6%
4 4664
 
6.2%
5 4585
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 15195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90986
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 15195
16.7%
1 13411
14.7%
0 13342
14.7%
6 10255
11.3%
8 7451
8.2%
2 6209
6.8%
9 5778
 
6.4%
3 5105
 
5.6%
7 4991
 
5.5%
4 4664
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 15195
16.7%
1 13411
14.7%
0 13342
14.7%
6 10255
11.3%
8 7451
8.2%
2 6209
6.8%
9 5778
 
6.4%
3 5105
 
5.6%
7 4991
 
5.5%
4 4664
 
5.1%

소재지주소
Text

Distinct7315
Distinct (%)96.8%
Missing48
Missing (%)0.6%
Memory size59.5 KiB
2023-12-12T23:06:00.439351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length58
Mean length36.432372
Min length3

Characters and Unicode

Total characters275283
Distinct characters428
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7105 ?
Unique (%)94.0%

Sample

1st row서울특별시 용산구 한강대로43길 13， 720호 (한강로2가， 한강로대우아이빌)
2nd row서울특별시 용산구 새창로 217， 1304호 (한강로2가)
3rd row서울특별시 용산구 녹사평대로 220 (이태원동)
4th row서울특별시 용산구 서빙고로 67， 103동 202호 (용산동5가， 파크타워)
5th row서울특별시 용산구 신흥로 89， 3층 303호 (용산동2가)
ValueCountFrequency (%)
서울특별시 7554
 
14.8%
용산구 7541
 
14.8%
청파로 1220
 
2.4%
한강로2가， 1119
 
2.2%
1층 844
 
1.7%
한강로3가， 720
 
1.4%
2층 674
 
1.3%
선인상가 588
 
1.2%
새창로 555
 
1.1%
3층 522
 
1.0%
Other values (6046) 29572
58.1%
2023-12-12T23:06:01.078438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47586
 
17.3%
1 13258
 
4.8%
로 10468
 
3.8%
2 10121
 
3.7%
， 8989
 
3.3%
용 8269
 
3.0%
산 8176
 
3.0%
서 8013
 
2.9%
구 7647
 
2.8%
시 7634
 
2.8%
Other values (418) 145122
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148762
54.0%
Decimal Number 53422
 
19.4%
Space Separator 47586
 
17.3%
Other Punctuation 9067
 
3.3%
Open Punctuation 6400
 
2.3%
Close Punctuation 6357
 
2.3%
Dash Punctuation 2816
 
1.0%
Uppercase Letter 706
 
0.3%
Lowercase Letter 130
 
< 0.1%
Math Symbol 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 10468
 
7.0%
용 8269
 
5.6%
산 8176
 
5.5%
서 8013
 
5.4%
구 7647
 
5.1%
시 7634
 
5.1%
울 7579
 
5.1%
별 7573
 
5.1%
특 7568
 
5.1%
가 6521
 
4.4%
Other values (360) 69314
46.6%
Uppercase Letter
ValueCountFrequency (%)
B 298
42.2%
A 134
19.0%
C 67
 
9.5%
S 32
 
4.5%
D 27
 
3.8%
G 26
 
3.7%
L 20
 
2.8%
K 16
 
2.3%
P 13
 
1.8%
I 12
 
1.7%
Other values (10) 61
 
8.6%
Lowercase Letter
ValueCountFrequency (%)
e 47
36.2%
c 20
15.4%
l 12
 
9.2%
a 9
 
6.9%
b 8
 
6.2%
k 6
 
4.6%
m 5
 
3.8%
o 5
 
3.8%
d 3
 
2.3%
r 3
 
2.3%
Other values (8) 12
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 13258
24.8%
2 10121
18.9%
3 6830
12.8%
0 5428
10.2%
4 4286
 
8.0%
5 3523
 
6.6%
6 2703
 
5.1%
7 2599
 
4.9%
8 2572
 
4.8%
9 2102
 
3.9%
Other Punctuation
ValueCountFrequency (%)
， 8989
99.1%
/ 45
 
0.5%
. 26
 
0.3%
' 5
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
47586
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2816
100.0%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148762
54.0%
Common 125685
45.7%
Latin 836
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 10468
 
7.0%
용 8269
 
5.6%
산 8176
 
5.5%
서 8013
 
5.4%
구 7647
 
5.1%
시 7634
 
5.1%
울 7579
 
5.1%
별 7573
 
5.1%
특 7568
 
5.1%
가 6521
 
4.4%
Other values (360) 69314
46.6%
Latin
ValueCountFrequency (%)
B 298
35.6%
A 134
16.0%
C 67
 
8.0%
e 47
 
5.6%
S 32
 
3.8%
D 27
 
3.2%
G 26
 
3.1%
c 20
 
2.4%
L 20
 
2.4%
K 16
 
1.9%
Other values (28) 149
17.8%
Common
ValueCountFrequency (%)
47586
37.9%
1 13258
 
10.5%
2 10121
 
8.1%
， 8989
 
7.2%
3 6830
 
5.4%
( 6400
 
5.1%
) 6357
 
5.1%
0 5428
 
4.3%
4 4286
 
3.4%
5 3523
 
2.8%
Other values (10) 12907
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148761
54.0%
ASCII 117532
42.7%
None 8989
 
3.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47586
40.5%
1 13258
 
11.3%
2 10121
 
8.6%
3 6830
 
5.8%
( 6400
 
5.4%
) 6357
 
5.4%
0 5428
 
4.6%
4 4286
 
3.6%
5 3523
 
3.0%
- 2816
 
2.4%
Other values (47) 10927
 
9.3%
Hangul
ValueCountFrequency (%)
로 10468
 
7.0%
용 8269
 
5.6%
산 8176
 
5.5%
서 8013
 
5.4%
구 7647
 
5.1%
시 7634
 
5.1%
울 7579
 
5.1%
별 7573
 
5.1%
특 7568
 
5.1%
가 6521
 
4.4%
Other values (359) 69313
46.6%
None
ValueCountFrequency (%)
， 8989
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

Missing values

2023-12-12T23:05:55.869076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:05:55.989780image/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.
2023-12-12T23:05:56.127835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호대표자명법인또는상호사업자번호소재지주소
01황혜린당신의 하루 HARU849-48-00329서울특별시 용산구 한강대로43길 13， 720호 (한강로2가， 한강로대우아이빌)
12김정민주식회사 에스오엠코퍼레이션499-87-00666서울특별시 용산구 새창로 217， 1304호 (한강로2가)
23김소희a dream of seed201-09-23536서울특별시 용산구 녹사평대로 220 (이태원동)
34김정웅주식회사 제이투엠투279-81-00702서울특별시 용산구 서빙고로 67， 103동 202호 (용산동5가， 파크타워)
45홍지연，조정미，LEE JINA하우스 오브 콜렉션스(House of Collections)812-17-00449서울특별시 용산구 신흥로 89， 3층 303호 (용산동2가)
56박은미(주)미도테크121-88-00663서울특별시 용산구 새창로 181， 21동 3222호 (한강로2가， 선인상가)
67이예린비네이키드(benaked)591-78-00067서울특별시 용산구 보광로31길 10-4， 2층 (보광동)
78김호윤(주) 비디오월드128-86-93193서울특별시 용산구 청파로 48， 709호 (한강로3가， 용산전자오피스텔)
89이승원부티크(Boutique)106-10-96351서울특별시 용산구 회나무로26길 24， 1층 (이태원동)
910박혜정주식회사 더하기숍603-86-00725서울특별시 용산구 원효로 134， 3층 312호 (원효로3가， 대교빌딩)
번호대표자명법인또는상호사업자번호소재지주소
75947594송세찬(주)국제전문기술원999-99-99999서울특별시 용산구 서계동 99-15
75957595김형미코리아휴먼전산(주)999-99-99999서울특별시 용산구 동자동 12-5
75967596이인구그린메디칼999-99-99999서울특별시 용산구 한강로2가 351
75977597이광원잉꼬정수기999-99-99999서울특별시 용산구 한강로3가 63-46
75987598김낙호홍신출판사999-99-99999서울특별시 용산구 한강로2가 93-3
75997599한기언천화종합(주)999-99-99999서울특별시 용산구 동빙고동 7-46
76007600전관수샤론999-99-99999서울특별시 용산구 이태원동 34-149
76017601천석우(주)동인시스템999-99-99999서울특별시 용산구 한강로3가 16-96
76027602이우승(주)한국생화통신999-99-99999서울특별시 용산구 용산동3가 40-151
76037603이애경(주)무한유통999-99-99999서울특별시 용산구 한남동 789-6