Overview

Dataset statistics

Number of variables7
Number of observations424
Missing cells90
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.3 KiB
Average record size in memory56.3 B

Variable types

Text6
Categorical1

Dataset

Description송파구의 제조업공장현황 데이터입니다. 송파구 내 제조업체명, 주소, 전화번호, 업종명 등의 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15054975/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 13 (3.1%) missing valuesMissing
팩스번호 has 77 (18.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:57:54.025471
Analysis finished2023-12-12 06:57:55.018882
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct421
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T15:57:55.221562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length7.7924528
Min length3

Characters and Unicode

Total characters3304
Distinct characters361
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)98.6%

Sample

1st row(사)사랑나눔장애인협회다좋은지점
2nd row(주) 진양아이에스씨
3rd row(주)21세기정보기술
4th row(주)GBSTYLE
5th row(주)가온아이피엠
ValueCountFrequency (%)
주식회사 22
 
4.8%
주)솔포스텍 2
 
0.4%
미듬 2
 
0.4%
주)한국쉬즈라인 2
 
0.4%
주)아맥스 2
 
0.4%
금속 1
 
0.2%
서울패션 1
 
0.2%
서울전자산업(주 1
 
0.2%
서울아산병원 1
 
0.2%
서울씨앤씨 1
 
0.2%
Other values (428) 428
92.4%
2023-12-12T15:57:55.684150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 312
 
9.4%
( 289
 
8.7%
) 289
 
8.7%
스 118
 
3.6%
이 108
 
3.3%
에 62
 
1.9%
아 55
 
1.7%
지 46
 
1.4%
사 43
 
1.3%
40
 
1.2%
Other values (351) 1942
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2616
79.2%
Open Punctuation 289
 
8.7%
Close Punctuation 289
 
8.7%
Space Separator 40
 
1.2%
Uppercase Letter 34
 
1.0%
Lowercase Letter 27
 
0.8%
Other Punctuation 5
 
0.2%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 312
 
11.9%
스 118
 
4.5%
이 108
 
4.1%
에 62
 
2.4%
아 55
 
2.1%
지 46
 
1.8%
사 43
 
1.6%
식 36
 
1.4%
크 33
 
1.3%
인 33
 
1.3%
Other values (312) 1770
67.7%
Uppercase Letter
ValueCountFrequency (%)
E 3
 
8.8%
I 3
 
8.8%
L 3
 
8.8%
G 3
 
8.8%
A 3
 
8.8%
C 2
 
5.9%
N 2
 
5.9%
P 2
 
5.9%
O 2
 
5.9%
T 2
 
5.9%
Other values (8) 9
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
29.6%
c 3
 
11.1%
n 2
 
7.4%
a 2
 
7.4%
s 2
 
7.4%
m 2
 
7.4%
d 2
 
7.4%
r 2
 
7.4%
p 1
 
3.7%
i 1
 
3.7%
Other values (2) 2
 
7.4%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
' 1
 
20.0%
. 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
1 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2616
79.2%
Common 627
 
19.0%
Latin 61
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 312
 
11.9%
스 118
 
4.5%
이 108
 
4.1%
에 62
 
2.4%
아 55
 
2.1%
지 46
 
1.8%
사 43
 
1.6%
식 36
 
1.4%
크 33
 
1.3%
인 33
 
1.3%
Other values (312) 1770
67.7%
Latin
ValueCountFrequency (%)
e 8
 
13.1%
E 3
 
4.9%
I 3
 
4.9%
L 3
 
4.9%
G 3
 
4.9%
c 3
 
4.9%
A 3
 
4.9%
n 2
 
3.3%
C 2
 
3.3%
N 2
 
3.3%
Other values (20) 29
47.5%
Common
ValueCountFrequency (%)
( 289
46.1%
) 289
46.1%
40
 
6.4%
& 3
 
0.5%
2 2
 
0.3%
' 1
 
0.2%
3 1
 
0.2%
1 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2616
79.2%
ASCII 688
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 312
 
11.9%
스 118
 
4.5%
이 108
 
4.1%
에 62
 
2.4%
아 55
 
2.1%
지 46
 
1.8%
사 43
 
1.6%
식 36
 
1.4%
크 33
 
1.3%
인 33
 
1.3%
Other values (312) 1770
67.7%
ASCII
ValueCountFrequency (%)
( 289
42.0%
) 289
42.0%
40
 
5.8%
e 8
 
1.2%
& 3
 
0.4%
E 3
 
0.4%
I 3
 
0.4%
L 3
 
0.4%
G 3
 
0.4%
c 3
 
0.4%
Other values (29) 44
 
6.4%

대표자명
Text

Distinct415
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T15:57:56.059653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.1320755
Min length2

Characters and Unicode

Total characters1328
Distinct characters170
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)96.0%

Sample

1st row김은정
2nd row염수미
3rd row송채현
4th row박용주
5th row도귀영
ValueCountFrequency (%)
이돈영 3
 
0.7%
이재민 2
 
0.5%
천우석 2
 
0.5%
안동현 2
 
0.5%
강희천 2
 
0.5%
박세훈 2
 
0.5%
이현석 2
 
0.5%
오문진 2
 
0.5%
이원희 2
 
0.5%
최용국 2
 
0.5%
Other values (412) 412
95.2%
2023-12-12T15:57:56.573080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 93
 
7.0%
이 71
 
5.3%
박 41
 
3.1%
영 40
 
3.0%
진 31
 
2.3%
정 31
 
2.3%
성 26
 
2.0%
수 26
 
2.0%
상 25
 
1.9%
경 25
 
1.9%
Other values (160) 919
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1307
98.4%
Other Punctuation 11
 
0.8%
Space Separator 9
 
0.7%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 93
 
7.1%
이 71
 
5.4%
박 41
 
3.1%
영 40
 
3.1%
진 31
 
2.4%
정 31
 
2.4%
성 26
 
2.0%
수 26
 
2.0%
상 25
 
1.9%
경 25
 
1.9%
Other values (157) 898
68.7%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1307
98.4%
Common 21
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 93
 
7.1%
이 71
 
5.4%
박 41
 
3.1%
영 40
 
3.1%
진 31
 
2.4%
정 31
 
2.4%
성 26
 
2.0%
수 26
 
2.0%
상 25
 
1.9%
경 25
 
1.9%
Other values (157) 898
68.7%
Common
ValueCountFrequency (%)
, 11
52.4%
9
42.9%
1 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1307
98.4%
ASCII 21
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 93
 
7.1%
이 71
 
5.4%
박 41
 
3.1%
영 40
 
3.1%
진 31
 
2.4%
정 31
 
2.4%
성 26
 
2.0%
수 26
 
2.0%
상 25
 
1.9%
경 25
 
1.9%
Other values (157) 898
68.7%
ASCII
ValueCountFrequency (%)
, 11
52.4%
9
42.9%
1 1
 
4.8%

공장대표주소
Text

Distinct419
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T15:57:56.938840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length56
Mean length35.731132
Min length22

Characters and Unicode

Total characters15150
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)98.1%

Sample

1st row서울특별시 송파구 송파대로37길 74, 1층 (석촌동, 부자빌딩)
2nd row서울특별시 송파구 거마로2길 14 (거여동)
3rd row서울특별시 송파구 마천동-90번지 20 (2층)
4th row서울특별시 송파구 법원로11길 11, A동 901~908호(문정동, 현대지식산업센터) (문정동)
5th row서울특별시 송파구 동남로28길 30, 지층 (오금동)
ValueCountFrequency (%)
서울특별시 424
 
14.8%
송파구 424
 
14.8%
문정동 168
 
5.9%
가락동 53
 
1.8%
지층 46
 
1.6%
b동 43
 
1.5%
a동 41
 
1.4%
송파대로 37
 
1.3%
2층 35
 
1.2%
충민로 35
 
1.2%
Other values (692) 1565
54.5%
2023-12-12T15:57:57.473459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2568
 
17.0%
1 702
 
4.6%
동 587
 
3.9%
파 555
 
3.7%
송 524
 
3.5%
( 505
 
3.3%
) 504
 
3.3%
, 498
 
3.3%
2 437
 
2.9%
시 433
 
2.9%
Other values (209) 7837
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8293
54.7%
Space Separator 2568
 
17.0%
Decimal Number 2490
 
16.4%
Open Punctuation 505
 
3.3%
Close Punctuation 504
 
3.3%
Other Punctuation 501
 
3.3%
Uppercase Letter 186
 
1.2%
Dash Punctuation 73
 
0.5%
Math Symbol 30
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 587
 
7.1%
파 555
 
6.7%
송 524
 
6.3%
시 433
 
5.2%
서 425
 
5.1%
구 425
 
5.1%
특 424
 
5.1%
별 424
 
5.1%
울 424
 
5.1%
로 419
 
5.1%
Other values (181) 3653
44.0%
Uppercase Letter
ValueCountFrequency (%)
B 60
32.3%
A 46
24.7%
C 24
 
12.9%
G 15
 
8.1%
S 9
 
4.8%
D 9
 
4.8%
L 7
 
3.8%
V 7
 
3.8%
K 7
 
3.8%
J 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 702
28.2%
2 437
17.6%
0 235
 
9.4%
3 213
 
8.6%
4 184
 
7.4%
5 169
 
6.8%
7 160
 
6.4%
6 154
 
6.2%
8 128
 
5.1%
9 108
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 498
99.4%
. 3
 
0.6%
Space Separator
ValueCountFrequency (%)
2568
100.0%
Open Punctuation
ValueCountFrequency (%)
( 505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8293
54.7%
Common 6671
44.0%
Latin 186
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 587
 
7.1%
파 555
 
6.7%
송 524
 
6.3%
시 433
 
5.2%
서 425
 
5.1%
구 425
 
5.1%
특 424
 
5.1%
별 424
 
5.1%
울 424
 
5.1%
로 419
 
5.1%
Other values (181) 3653
44.0%
Common
ValueCountFrequency (%)
2568
38.5%
1 702
 
10.5%
( 505
 
7.6%
) 504
 
7.6%
, 498
 
7.5%
2 437
 
6.6%
0 235
 
3.5%
3 213
 
3.2%
4 184
 
2.8%
5 169
 
2.5%
Other values (7) 656
 
9.8%
Latin
ValueCountFrequency (%)
B 60
32.3%
A 46
24.7%
C 24
 
12.9%
G 15
 
8.1%
S 9
 
4.8%
D 9
 
4.8%
L 7
 
3.8%
V 7
 
3.8%
K 7
 
3.8%
J 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8293
54.7%
ASCII 6857
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2568
37.5%
1 702
 
10.2%
( 505
 
7.4%
) 504
 
7.4%
, 498
 
7.3%
2 437
 
6.4%
0 235
 
3.4%
3 213
 
3.1%
4 184
 
2.7%
5 169
 
2.5%
Other values (18) 842
 
12.3%
Hangul
ValueCountFrequency (%)
동 587
 
7.1%
파 555
 
6.7%
송 524
 
6.3%
시 433
 
5.2%
서 425
 
5.1%
구 425
 
5.1%
특 424
 
5.1%
별 424
 
5.1%
울 424
 
5.1%
로 419
 
5.1%
Other values (181) 3653
44.0%

전화번호
Text

MISSING 

Distinct403
Distinct (%)98.1%
Missing13
Missing (%)3.1%
Memory size3.4 KiB
2023-12-12T15:57:57.793179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.347932
Min length7

Characters and Unicode

Total characters4664
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

Unique396 ?
Unique (%)96.4%

Sample

1st row02-6426-5615
2nd row02-431-7378
3rd row02-402-1388
4th row02-2210-1400
5th row02-431-9775
ValueCountFrequency (%)
02-473-6127 3
 
0.7%
02-3431-9300 2
 
0.5%
02-412-3575 2
 
0.5%
15880349 2
 
0.5%
02-431-7378 2
 
0.5%
02-431-5500 2
 
0.5%
02-2047-0611 2
 
0.5%
02-414-2482 1
 
0.2%
02-859-1974 1
 
0.2%
02-406-8844 1
 
0.2%
Other values (393) 393
95.6%
2023-12-12T15:57:58.179777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 868
18.6%
- 810
17.4%
2 737
15.8%
4 488
10.5%
1 317
 
6.8%
7 304
 
6.5%
3 275
 
5.9%
5 255
 
5.5%
8 236
 
5.1%
6 213
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3854
82.6%
Dash Punctuation 810
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 868
22.5%
2 737
19.1%
4 488
12.7%
1 317
 
8.2%
7 304
 
7.9%
3 275
 
7.1%
5 255
 
6.6%
8 236
 
6.1%
6 213
 
5.5%
9 161
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 810
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 868
18.6%
- 810
17.4%
2 737
15.8%
4 488
10.5%
1 317
 
6.8%
7 304
 
6.5%
3 275
 
5.9%
5 255
 
5.5%
8 236
 
5.1%
6 213
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 868
18.6%
- 810
17.4%
2 737
15.8%
4 488
10.5%
1 317
 
6.8%
7 304
 
6.5%
3 275
 
5.9%
5 255
 
5.5%
8 236
 
5.1%
6 213
 
4.6%

팩스번호
Text

MISSING 

Distinct254
Distinct (%)73.2%
Missing77
Missing (%)18.2%
Memory size3.4 KiB
2023-12-12T15:57:58.412179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.6311239
Min length1

Characters and Unicode

Total characters2995
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

Unique251 ?
Unique (%)72.3%

Sample

1st row2
2nd row02-402-1384
3rd row02-2210-1406
4th row02-431-9778
5th row02-409-7077
ValueCountFrequency (%)
2 92
 
26.5%
02-2043-7140 2
 
0.6%
02-517-6498 2
 
0.6%
02-462-2384 1
 
0.3%
02-2054-3733 1
 
0.3%
02-557-7920 1
 
0.3%
02-6910-0002 1
 
0.3%
050-5115-1233 1
 
0.3%
02-881-5466 1
 
0.3%
02-420-0248 1
 
0.3%
Other values (244) 244
70.3%
2023-12-12T15:57:58.748108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 537
17.9%
0 509
17.0%
- 502
16.8%
4 305
10.2%
1 180
 
6.0%
5 178
 
5.9%
7 174
 
5.8%
3 173
 
5.8%
8 157
 
5.2%
6 149
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2493
83.2%
Dash Punctuation 502
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 537
21.5%
0 509
20.4%
4 305
12.2%
1 180
 
7.2%
5 178
 
7.1%
7 174
 
7.0%
3 173
 
6.9%
8 157
 
6.3%
6 149
 
6.0%
9 131
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 502
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2995
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 537
17.9%
0 509
17.0%
- 502
16.8%
4 305
10.2%
1 180
 
6.0%
5 178
 
5.9%
7 174
 
5.8%
3 173
 
5.8%
8 157
 
5.2%
6 149
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 537
17.9%
0 509
17.0%
- 502
16.8%
4 305
10.2%
1 180
 
6.0%
5 178
 
5.9%
7 174
 
5.8%
3 173
 
5.8%
8 157
 
5.2%
6 149
 
5.0%

업종명
Text

Distinct221
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T15:57:59.031719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length15.509434
Min length5

Characters and Unicode

Total characters6576
Distinct characters250
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)36.3%

Sample

1st row경 인쇄업 외 1종
2nd row근무복, 작업복 및 유사의복 제조업 외 4종
3rd row방송장비 제조업 외 1종
4th row속옷 및 잠옷 제조업
5th row그 외 기타 전기장비 제조업
ValueCountFrequency (%)
제조업 395
19.5%
외 217
 
10.7%
및 167
 
8.2%
기타 118
 
5.8%
1종 76
 
3.8%
그 52
 
2.6%
전기 42
 
2.1%
2종 36
 
1.8%
배전반 29
 
1.4%
자동제어반 29
 
1.4%
Other values (281) 864
42.7%
2023-12-12T15:57:59.833296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1601
24.3%
제 490
 
7.5%
업 440
 
6.7%
조 434
 
6.6%
기 320
 
4.9%
외 222
 
3.4%
및 167
 
2.5%
종 166
 
2.5%
전 123
 
1.9%
타 120
 
1.8%
Other values (240) 2493
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4770
72.5%
Space Separator 1601
 
24.3%
Decimal Number 171
 
2.6%
Other Punctuation 30
 
0.5%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 490
 
10.3%
업 440
 
9.2%
조 434
 
9.1%
기 320
 
6.7%
외 222
 
4.7%
및 167
 
3.5%
종 166
 
3.5%
전 123
 
2.6%
타 120
 
2.5%
장 119
 
2.5%
Other values (226) 2169
45.5%
Decimal Number
ValueCountFrequency (%)
1 82
48.0%
2 38
22.2%
3 14
 
8.2%
4 12
 
7.0%
6 9
 
5.3%
5 6
 
3.5%
7 4
 
2.3%
8 3
 
1.8%
9 2
 
1.2%
0 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1601
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4770
72.5%
Common 1806
 
27.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 490
 
10.3%
업 440
 
9.2%
조 434
 
9.1%
기 320
 
6.7%
외 222
 
4.7%
및 167
 
3.5%
종 166
 
3.5%
전 123
 
2.6%
타 120
 
2.5%
장 119
 
2.5%
Other values (226) 2169
45.5%
Common
ValueCountFrequency (%)
1601
88.6%
1 82
 
4.5%
2 38
 
2.1%
, 30
 
1.7%
3 14
 
0.8%
4 12
 
0.7%
6 9
 
0.5%
5 6
 
0.3%
7 4
 
0.2%
8 3
 
0.2%
Other values (4) 7
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4769
72.5%
ASCII 1806
 
27.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1601
88.6%
1 82
 
4.5%
2 38
 
2.1%
, 30
 
1.7%
3 14
 
0.8%
4 12
 
0.7%
6 9
 
0.5%
5 6
 
0.3%
7 4
 
0.2%
8 3
 
0.2%
Other values (4) 7
 
0.4%
Hangul
ValueCountFrequency (%)
제 490
 
10.3%
업 440
 
9.2%
조 434
 
9.1%
기 320
 
6.7%
외 222
 
4.7%
및 167
 
3.5%
종 166
 
3.5%
전 123
 
2.6%
타 120
 
2.5%
장 119
 
2.5%
Other values (225) 2168
45.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-06-30
424 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-06-30 424
100.0%

Length

2023-12-12T15:57:59.981060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:00.102689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 424
100.0%

Missing values

2023-12-12T15:57:54.660618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:57:54.795349image/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.
2023-12-12T15:57:54.954967image/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

회사명대표자명공장대표주소전화번호팩스번호업종명데이터기준일자
0(사)사랑나눔장애인협회다좋은지점김은정서울특별시 송파구 송파대로37길 74, 1층 (석촌동, 부자빌딩)02-6426-5615<NA>경 인쇄업 외 1종2023-06-30
1(주) 진양아이에스씨염수미서울특별시 송파구 거마로2길 14 (거여동)02-431-73782근무복, 작업복 및 유사의복 제조업 외 4종2023-06-30
2(주)21세기정보기술송채현서울특별시 송파구 마천동-90번지 20 (2층)02-402-138802-402-1384방송장비 제조업 외 1종2023-06-30
3(주)GBSTYLE박용주서울특별시 송파구 법원로11길 11, A동 901~908호(문정동, 현대지식산업센터) (문정동)02-2210-140002-2210-1406속옷 및 잠옷 제조업2023-06-30
4(주)가온아이피엠도귀영서울특별시 송파구 동남로28길 30, 지층 (오금동)02-431-977502-431-9778그 외 기타 전기장비 제조업2023-06-30
5(주)건양유통박규현서울특별시 송파구 중대로 150, 2층 (가락동)02-403-333302-409-7077폴리스티렌 발포 성형제품 제조업 외 1종2023-06-30
6(주)경원안귀영서울특별시 송파구 법원로11길 7, C동 8층 814,815호 (문정동)02-415-260002-415-5471그 외 기타 특수목적용 기계 제조업 외 1종2023-06-30
7(주)그린랩스안동현, 최성우서울특별시 송파구 송파대로 201, A동 B4층 G403호 (문정동)02-6956-402302-6952-0457배전반 및 전기 자동제어반 제조업2023-06-30
8(주)그린빈에스텍김인국서울특별시 송파구 법원로 127, 520호 (문정동)070-8683-2460<NA>커피 가공업2023-06-30
9(주)그린아이티코리아강원식서울특별시 송파구 송파대로 201, 송파 테라타워2 A동 G414~417호, B동 1113~1114호 (문정동)031-721-5661031-721-5663방송장비 제조업 외 6종2023-06-30
회사명대표자명공장대표주소전화번호팩스번호업종명데이터기준일자
414현진실업최상걸서울특별시 송파구 동남로23가길 8-20, (지층) (오금동)02-408-99142핸드백 및 지갑 제조업2023-06-30
415현진정밀이현석서울특별시 송파구 충민로 52, A동 6층 603 (문정동, 가든파이브웍스)02-2147-012302-2147-0124그 외 기타 분류 안된 금속 가공 제품 제조업 외 1종2023-06-30
416호가호가외식박병일서울특별시 송파구 가락로5길 25, (지층) (석촌동)02-415-77542도시락류 제조업 외 1종2023-06-30
417호성섬유박옥준서울특별시 송파구 동남로4길 33 (문정동, 호성섬유)02-443-122602-402-7657남자용 겉옷 제조업2023-06-30
418화산실업김경환서울특별시 송파구 토성로15길 3-3, 지하 (풍납동)02-487-50832문구용 종이제품 제조업2023-06-30
419화성상사김승경서울특별시 송파구 법원로9길 26, 에이치비지니스파크 D동 1112호 우측호실 (문정동)02-2687-864702-2687-8637기타 측정, 시험, 항해, 제어 및 정밀기기 제조업2023-06-30
420화인컴에스이(주)유주훈서울특별시 송파구 송파대로 201, A동 1109~1112호(송파테라타워2) (문정동)02-881-546002-881-5466그 외 기타 달리 분류되지 않은 제품 제조업2023-06-30
421후론티어치과산업남영희서울특별시 송파구 마천로33길 3-12 (마천동)02-403-008002-401-2782전기식 진단 및 요법 기기 제조업2023-06-30
422훼밀리프로덕스(주)원덕수서울특별시 송파구 백제고분로28길 41, 지층 (삼전동)02-421-54742그 외 기타 식료품 제조업2023-06-30
423흥림엔지니어링(주)김윤수서울특별시 송파구 백제고분로40길 35-7, 일산빌딩 201호 (석촌동)02-3452-45002배전반 및 전기 자동제어반 제조업2023-06-30