Overview

Dataset statistics

Number of variables12
Number of observations6141
Missing cells7510
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory581.8 KiB
Average record size in memory97.0 B

Variable types

Text9
DateTime1
Numeric1
Categorical1

Dataset

Description경기도 김포시 공장등록현황(회사명, 대표자명, 공장대표주소(도로명), 업종번호, 업종명, 등록일, 전화번호, 팩스번호, 종업원수, 생산품, 주원자재, 데이터기준일)의 데이터를 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/3072971/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 1006 (16.4%) missing valuesMissing
팩스번호 has 2941 (47.9%) missing valuesMissing
주원자재 has 3494 (56.9%) missing valuesMissing
종업원수 has 99 (1.6%) zerosZeros

Reproduction

Analysis started2023-12-12 12:07:07.417651
Analysis finished2023-12-12 12:07:10.381314
Duration2.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct5752
Distinct (%)93.7%
Missing4
Missing (%)0.1%
Memory size48.1 KiB
2023-12-12T21:07:10.671473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length6.7557438
Min length2

Characters and Unicode

Total characters41460
Distinct characters699
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5420 ?
Unique (%)88.3%

Sample

1st row(주)키움라인
2nd rowBM테크
3rd row에이앤피테크놀로지(주)
4th row(KJF)마린테크
5th row(사)가람문화복지회
ValueCountFrequency (%)
주식회사 359
 
5.4%
농업회사법인 17
 
0.3%
김포지점 13
 
0.2%
eng 6
 
0.1%
한성산업 5
 
0.1%
사단법인 5
 
0.1%
대성산업 4
 
0.1%
제2공장 4
 
0.1%
김포공장 4
 
0.1%
주)인투온 4
 
0.1%
Other values (5807) 6212
93.7%
2023-12-12T21:07:11.284065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3482
 
8.4%
( 3061
 
7.4%
) 3059
 
7.4%
이 1248
 
3.0%
업 1036
 
2.5%
스 938
 
2.3%
산 801
 
1.9%
사 655
 
1.6%
에 623
 
1.5%
성 593
 
1.4%
Other values (689) 25964
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33802
81.5%
Open Punctuation 3061
 
7.4%
Close Punctuation 3059
 
7.4%
Uppercase Letter 584
 
1.4%
Space Separator 522
 
1.3%
Other Symbol 303
 
0.7%
Lowercase Letter 61
 
0.1%
Decimal Number 44
 
0.1%
Other Punctuation 20
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3482
 
10.3%
이 1248
 
3.7%
업 1036
 
3.1%
스 938
 
2.8%
산 801
 
2.4%
사 655
 
1.9%
에 623
 
1.8%
성 593
 
1.8%
기 556
 
1.6%
지 498
 
1.5%
Other values (628) 23372
69.1%
Uppercase Letter
ValueCountFrequency (%)
E 64
 
11.0%
N 61
 
10.4%
C 51
 
8.7%
G 48
 
8.2%
S 42
 
7.2%
T 33
 
5.7%
O 33
 
5.7%
I 25
 
4.3%
D 24
 
4.1%
K 22
 
3.8%
Other values (15) 181
31.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
14.8%
o 7
11.5%
n 7
11.5%
c 6
9.8%
a 4
 
6.6%
i 4
 
6.6%
t 4
 
6.6%
m 3
 
4.9%
p 3
 
4.9%
h 3
 
4.9%
Other values (7) 11
18.0%
Decimal Number
ValueCountFrequency (%)
2 16
36.4%
1 13
29.5%
0 5
 
11.4%
8 3
 
6.8%
5 2
 
4.5%
6 2
 
4.5%
9 1
 
2.3%
3 1
 
2.3%
4 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 16
80.0%
/ 2
 
10.0%
, 1
 
5.0%
' 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 3061
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3059
100.0%
Space Separator
ValueCountFrequency (%)
522
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34105
82.3%
Common 6710
 
16.2%
Latin 645
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3482
 
10.2%
이 1248
 
3.7%
업 1036
 
3.0%
스 938
 
2.8%
산 801
 
2.3%
사 655
 
1.9%
에 623
 
1.8%
성 593
 
1.7%
기 556
 
1.6%
지 498
 
1.5%
Other values (629) 23675
69.4%
Latin
ValueCountFrequency (%)
E 64
 
9.9%
N 61
 
9.5%
C 51
 
7.9%
G 48
 
7.4%
S 42
 
6.5%
T 33
 
5.1%
O 33
 
5.1%
I 25
 
3.9%
D 24
 
3.7%
K 22
 
3.4%
Other values (32) 242
37.5%
Common
ValueCountFrequency (%)
( 3061
45.6%
) 3059
45.6%
522
 
7.8%
& 16
 
0.2%
2 16
 
0.2%
1 13
 
0.2%
0 5
 
0.1%
- 3
 
< 0.1%
8 3
 
< 0.1%
/ 2
 
< 0.1%
Other values (8) 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33801
81.5%
ASCII 7355
 
17.7%
None 303
 
0.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3482
 
10.3%
이 1248
 
3.7%
업 1036
 
3.1%
스 938
 
2.8%
산 801
 
2.4%
사 655
 
1.9%
에 623
 
1.8%
성 593
 
1.8%
기 556
 
1.6%
지 498
 
1.5%
Other values (627) 23371
69.1%
ASCII
ValueCountFrequency (%)
( 3061
41.6%
) 3059
41.6%
522
 
7.1%
E 64
 
0.9%
N 61
 
0.8%
C 51
 
0.7%
G 48
 
0.7%
S 42
 
0.6%
T 33
 
0.4%
O 33
 
0.4%
Other values (50) 381
 
5.2%
None
ValueCountFrequency (%)
㈜ 303
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

대표자명
Text

Distinct5169
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size48.1 KiB
2023-12-12T21:07:11.731834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.1252239
Min length2

Characters and Unicode

Total characters19192
Distinct characters309
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

Unique4448 ?
Unique (%)72.4%

Sample

1st row박시철
2nd row김범식
3rd row이대엽
4th row조성훈
5th row강대복
ValueCountFrequency (%)
김영호 8
 
0.1%
신언기 8
 
0.1%
김옥희 6
 
0.1%
변호산 6
 
0.1%
김명숙 6
 
0.1%
박성진 6
 
0.1%
이인숙 6
 
0.1%
김형준 6
 
0.1%
김영철 5
 
0.1%
김성철 5
 
0.1%
Other values (5192) 6132
99.0%
2023-12-12T21:07:12.685992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1315
 
6.9%
이 1011
 
5.3%
정 595
 
3.1%
영 578
 
3.0%
박 523
 
2.7%
성 363
 
1.9%
수 337
 
1.8%
현 307
 
1.6%
호 303
 
1.6%
진 301
 
1.6%
Other values (299) 13559
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18898
98.5%
Other Punctuation 158
 
0.8%
Uppercase Letter 65
 
0.3%
Space Separator 57
 
0.3%
Decimal Number 7
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1315
 
7.0%
이 1011
 
5.3%
정 595
 
3.1%
영 578
 
3.1%
박 523
 
2.8%
성 363
 
1.9%
수 337
 
1.8%
현 307
 
1.6%
호 303
 
1.6%
진 301
 
1.6%
Other values (274) 13265
70.2%
Uppercase Letter
ValueCountFrequency (%)
I 8
12.3%
N 8
12.3%
A 7
10.8%
K 5
 
7.7%
Y 4
 
6.2%
G 4
 
6.2%
O 4
 
6.2%
E 3
 
4.6%
L 3
 
4.6%
S 3
 
4.6%
Other values (8) 16
24.6%
Decimal Number
ValueCountFrequency (%)
1 6
85.7%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 158
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18898
98.5%
Common 229
 
1.2%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1315
 
7.0%
이 1011
 
5.3%
정 595
 
3.1%
영 578
 
3.1%
박 523
 
2.8%
성 363
 
1.9%
수 337
 
1.8%
현 307
 
1.6%
호 303
 
1.6%
진 301
 
1.6%
Other values (274) 13265
70.2%
Latin
ValueCountFrequency (%)
I 8
12.3%
N 8
12.3%
A 7
10.8%
K 5
 
7.7%
Y 4
 
6.2%
G 4
 
6.2%
O 4
 
6.2%
E 3
 
4.6%
L 3
 
4.6%
S 3
 
4.6%
Other values (8) 16
24.6%
Common
ValueCountFrequency (%)
, 158
69.0%
57
 
24.9%
1 6
 
2.6%
( 3
 
1.3%
) 3
 
1.3%
- 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18898
98.5%
ASCII 294
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1315
 
7.0%
이 1011
 
5.3%
정 595
 
3.1%
영 578
 
3.1%
박 523
 
2.8%
성 363
 
1.9%
수 337
 
1.8%
현 307
 
1.6%
호 303
 
1.6%
진 301
 
1.6%
Other values (274) 13265
70.2%
ASCII
ValueCountFrequency (%)
, 158
53.7%
57
 
19.4%
I 8
 
2.7%
N 8
 
2.7%
A 7
 
2.4%
1 6
 
2.0%
K 5
 
1.7%
Y 4
 
1.4%
G 4
 
1.4%
O 4
 
1.4%
Other values (15) 33
 
11.2%

공장대표주소(도로명)
Text

Distinct5741
Distinct (%)94.4%
Missing58
Missing (%)0.9%
Memory size48.1 KiB
2023-12-12T21:07:13.032363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length54
Mean length25.944271
Min length9

Characters and Unicode

Total characters157819
Distinct characters242
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5435 ?
Unique (%)89.3%

Sample

1st row경기도 김포시 대곶면 율생중앙로 153
2nd row경기도 김포시 하성면 원통로51번길 38-4, 나동
3rd row경기도 김포시 하성면 후평리 173-7번지 가동 2층, 3층 일부, 나동, 다동
4th row경기도 김포시 양촌읍 대곶남로580번길 55-11, 1동,2동
5th row경기도 김포시 통진읍 옹정로 64-11 (총 2 필지) 외 1필지
ValueCountFrequency (%)
경기도 6078
 
17.0%
김포시 6078
 
17.0%
대곶면 2174
 
6.1%
외 1650
 
4.6%
통진읍 1227
 
3.4%
1필지 925
 
2.6%
하성면 762
 
2.1%
양촌읍 740
 
2.1%
월곶면 532
 
1.5%
2필지 389
 
1.1%
Other values (4002) 15241
42.6%
2023-12-12T21:07:13.615052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29715
18.8%
1 6708
 
4.3%
포 6522
 
4.1%
기 6467
 
4.1%
김 6397
 
4.1%
도 6248
 
4.0%
시 6195
 
3.9%
경 6081
 
3.9%
로 5441
 
3.4%
2 4580
 
2.9%
Other values (232) 73465
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90821
57.5%
Decimal Number 31422
 
19.9%
Space Separator 29715
 
18.8%
Dash Punctuation 3043
 
1.9%
Open Punctuation 903
 
0.6%
Close Punctuation 903
 
0.6%
Other Punctuation 882
 
0.6%
Uppercase Letter 85
 
0.1%
Lowercase Letter 33
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 6522
 
7.2%
기 6467
 
7.1%
김 6397
 
7.0%
도 6248
 
6.9%
시 6195
 
6.8%
경 6081
 
6.7%
로 5441
 
6.0%
곶 3714
 
4.1%
대 3662
 
4.0%
번 3578
 
3.9%
Other values (201) 36516
40.2%
Decimal Number
ValueCountFrequency (%)
1 6708
21.3%
2 4580
14.6%
3 3339
10.6%
5 2961
9.4%
4 2864
9.1%
6 2633
 
8.4%
7 2432
 
7.7%
0 2113
 
6.7%
8 1970
 
6.3%
9 1822
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 27
31.8%
A 24
28.2%
G 9
 
10.6%
T 8
 
9.4%
C 7
 
8.2%
F 5
 
5.9%
E 3
 
3.5%
D 2
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
o 8
24.2%
w 8
24.2%
e 8
24.2%
r 8
24.2%
a 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 875
99.2%
/ 7
 
0.8%
Space Separator
ValueCountFrequency (%)
29715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3043
100.0%
Open Punctuation
ValueCountFrequency (%)
( 903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 903
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90821
57.5%
Common 66880
42.4%
Latin 118
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 6522
 
7.2%
기 6467
 
7.1%
김 6397
 
7.0%
도 6248
 
6.9%
시 6195
 
6.8%
경 6081
 
6.7%
로 5441
 
6.0%
곶 3714
 
4.1%
대 3662
 
4.0%
번 3578
 
3.9%
Other values (201) 36516
40.2%
Common
ValueCountFrequency (%)
29715
44.4%
1 6708
 
10.0%
2 4580
 
6.8%
3 3339
 
5.0%
- 3043
 
4.5%
5 2961
 
4.4%
4 2864
 
4.3%
6 2633
 
3.9%
7 2432
 
3.6%
0 2113
 
3.2%
Other values (8) 6492
 
9.7%
Latin
ValueCountFrequency (%)
B 27
22.9%
A 24
20.3%
G 9
 
7.6%
o 8
 
6.8%
T 8
 
6.8%
w 8
 
6.8%
e 8
 
6.8%
r 8
 
6.8%
C 7
 
5.9%
F 5
 
4.2%
Other values (3) 6
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90821
57.5%
ASCII 66996
42.5%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29715
44.4%
1 6708
 
10.0%
2 4580
 
6.8%
3 3339
 
5.0%
- 3043
 
4.5%
5 2961
 
4.4%
4 2864
 
4.3%
6 2633
 
3.9%
7 2432
 
3.6%
0 2113
 
3.2%
Other values (20) 6608
 
9.9%
Hangul
ValueCountFrequency (%)
포 6522
 
7.2%
기 6467
 
7.1%
김 6397
 
7.0%
도 6248
 
6.9%
시 6195
 
6.8%
경 6081
 
6.7%
로 5441
 
6.0%
곶 3714
 
4.1%
대 3662
 
4.0%
번 3578
 
3.9%
Other values (201) 36516
40.2%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

업종번호
Text

Distinct1667
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size48.1 KiB
2023-12-12T21:07:14.021636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length215
Median length7
Mean length11.734245
Min length2

Characters and Unicode

Total characters72060
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1217 ?
Unique (%)19.8%

Sample

1st row25999,
2nd row22199,
3rd row26429, 26410, 26421, 28114, 28119, 28121, 28122, 28123, 28301, 28302, 28303, 28901, 28909
4th row20499,
5th row25999, 13223, 22299, 24312, 25112, 25113, 25114, 25993, 25995, 26421, 26429, 26519, 26529, 28113, 28123, 28410, 28422, 28423, 28429, 28511, 29261, 29299, 32021, 32029, 32091, 33910, 33932
ValueCountFrequency (%)
32029 374
 
3.4%
25113 347
 
3.2%
25112 321
 
2.9%
25114 214
 
2.0%
25999 170
 
1.6%
25111 165
 
1.5%
28123 158
 
1.4%
22299 147
 
1.3%
28422 146
 
1.3%
29175 140
 
1.3%
Other values (433) 8771
80.1%
2023-12-12T21:07:14.618467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 17452
24.2%
1 11031
15.3%
, 8655
12.0%
8655
12.0%
9 8095
11.2%
3 5526
 
7.7%
0 3246
 
4.5%
5 3089
 
4.3%
4 2357
 
3.3%
8 1341
 
1.9%
Other values (2) 2613
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54750
76.0%
Other Punctuation 8655
 
12.0%
Space Separator 8655
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 17452
31.9%
1 11031
20.1%
9 8095
14.8%
3 5526
 
10.1%
0 3246
 
5.9%
5 3089
 
5.6%
4 2357
 
4.3%
8 1341
 
2.4%
7 1333
 
2.4%
6 1280
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 8655
100.0%
Space Separator
ValueCountFrequency (%)
8655
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 17452
24.2%
1 11031
15.3%
, 8655
12.0%
8655
12.0%
9 8095
11.2%
3 5526
 
7.7%
0 3246
 
4.5%
5 3089
 
4.3%
4 2357
 
3.3%
8 1341
 
1.9%
Other values (2) 2613
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 17452
24.2%
1 11031
15.3%
, 8655
12.0%
8655
12.0%
9 8095
11.2%
3 5526
 
7.7%
0 3246
 
4.5%
5 3089
 
4.3%
4 2357
 
3.3%
8 1341
 
1.9%
Other values (2) 2613
 
3.6%

업종명
Text

Distinct1021
Distinct (%)16.6%
Missing3
Missing (%)< 0.1%
Memory size48.1 KiB
2023-12-12T21:07:15.059587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length17.257087
Min length3

Characters and Unicode

Total characters105924
Distinct characters338
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

Unique439 ?
Unique (%)7.2%

Sample

1st row그 외 기타 분류 안된 금속 가공 제품 제조업
2nd row그 외 기타 고무제품 제조업
3rd row기타 무선 통신장비 제조업 외 12 종
4th row그 외 기타 분류 안된 화학제품 제조업
5th row그 외 기타 분류 안된 금속 가공 제품 제조업 외 26 종
ValueCountFrequency (%)
제조업 5525
 
16.2%
외 2979
 
8.8%
및 2660
 
7.8%
종 2298
 
6.8%
기타 1736
 
5.1%
1 1348
 
4.0%
금속 848
 
2.5%
그 681
 
2.0%
플라스틱 559
 
1.6%
2 426
 
1.3%
Other values (663) 14969
44.0%
2023-12-12T21:07:15.710846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27904
26.3%
제 7447
 
7.0%
조 6708
 
6.3%
업 6350
 
6.0%
기 3889
 
3.7%
외 3005
 
2.8%
및 2664
 
2.5%
종 2407
 
2.3%
품 1917
 
1.8%
용 1901
 
1.8%
Other values (328) 41732
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74653
70.5%
Space Separator 27904
 
26.3%
Decimal Number 2377
 
2.2%
Other Punctuation 942
 
0.9%
Open Punctuation 24
 
< 0.1%
Close Punctuation 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 7447
 
10.0%
조 6708
 
9.0%
업 6350
 
8.5%
기 3889
 
5.2%
외 3005
 
4.0%
및 2664
 
3.6%
종 2407
 
3.2%
품 1917
 
2.6%
용 1901
 
2.5%
타 1763
 
2.4%
Other values (314) 36602
49.0%
Decimal Number
ValueCountFrequency (%)
1 1427
60.0%
2 442
 
18.6%
3 215
 
9.0%
4 127
 
5.3%
5 72
 
3.0%
6 45
 
1.9%
7 20
 
0.8%
8 14
 
0.6%
0 10
 
0.4%
9 5
 
0.2%
Space Separator
ValueCountFrequency (%)
27904
100.0%
Other Punctuation
ValueCountFrequency (%)
, 942
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74653
70.5%
Common 31271
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 7447
 
10.0%
조 6708
 
9.0%
업 6350
 
8.5%
기 3889
 
5.2%
외 3005
 
4.0%
및 2664
 
3.6%
종 2407
 
3.2%
품 1917
 
2.6%
용 1901
 
2.5%
타 1763
 
2.4%
Other values (314) 36602
49.0%
Common
ValueCountFrequency (%)
27904
89.2%
1 1427
 
4.6%
, 942
 
3.0%
2 442
 
1.4%
3 215
 
0.7%
4 127
 
0.4%
5 72
 
0.2%
6 45
 
0.1%
( 24
 
0.1%
) 24
 
0.1%
Other values (4) 49
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74606
70.4%
ASCII 31271
29.5%
Compat Jamo 47
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27904
89.2%
1 1427
 
4.6%
, 942
 
3.0%
2 442
 
1.4%
3 215
 
0.7%
4 127
 
0.4%
5 72
 
0.2%
6 45
 
0.1%
( 24
 
0.1%
) 24
 
0.1%
Other values (4) 49
 
0.2%
Hangul
ValueCountFrequency (%)
제 7447
 
10.0%
조 6708
 
9.0%
업 6350
 
8.5%
기 3889
 
5.2%
외 3005
 
4.0%
및 2664
 
3.6%
종 2407
 
3.2%
품 1917
 
2.6%
용 1901
 
2.5%
타 1763
 
2.4%
Other values (313) 36555
49.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 47
100.0%

등록일
Date

Distinct3228
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size48.1 KiB
Minimum1990-12-10 00:00:00
Maximum2023-11-03 00:00:00
2023-12-12T21:07:15.927325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:16.083072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct4715
Distinct (%)91.8%
Missing1006
Missing (%)16.4%
Memory size48.1 KiB
2023-12-12T21:07:16.387901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.999805
Min length9

Characters and Unicode

Total characters61619
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

Unique4346 ?
Unique (%)84.6%

Sample

1st row02-598-8061
2nd row031-984-1296
3rd row031-985-2568
4th row02-6402-9959
5th row02-6220-6238
ValueCountFrequency (%)
031-981-4251 5
 
0.1%
031-996-1524 5
 
0.1%
031-989-0018 4
 
0.1%
031-989-7886 4
 
0.1%
031-982-3909 4
 
0.1%
02-1522-8551 3
 
0.1%
031-989-1344 3
 
0.1%
031-983-2812 3
 
0.1%
031-989-1700 3
 
0.1%
02-2677-6612 3
 
0.1%
Other values (4705) 5098
99.3%
2023-12-12T21:07:16.886328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10260
16.7%
0 8100
13.1%
1 7508
12.2%
9 7455
12.1%
3 7199
11.7%
8 6182
10.0%
2 3347
 
5.4%
7 3273
 
5.3%
6 2987
 
4.8%
5 2731
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51359
83.3%
Dash Punctuation 10260
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8100
15.8%
1 7508
14.6%
9 7455
14.5%
3 7199
14.0%
8 6182
12.0%
2 3347
6.5%
7 3273
6.4%
6 2987
 
5.8%
5 2731
 
5.3%
4 2577
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 10260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61619
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10260
16.7%
0 8100
13.1%
1 7508
12.2%
9 7455
12.1%
3 7199
11.7%
8 6182
10.0%
2 3347
 
5.4%
7 3273
 
5.3%
6 2987
 
4.8%
5 2731
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10260
16.7%
0 8100
13.1%
1 7508
12.2%
9 7455
12.1%
3 7199
11.7%
8 6182
10.0%
2 3347
 
5.4%
7 3273
 
5.3%
6 2987
 
4.8%
5 2731
 
4.4%

팩스번호
Text

MISSING 

Distinct2972
Distinct (%)92.9%
Missing2941
Missing (%)47.9%
Memory size48.1 KiB
2023-12-12T21:07:17.251533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.016562
Min length11

Characters and Unicode

Total characters38453
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

Unique2784 ?
Unique (%)87.0%

Sample

1st row02-598-8072
2nd row031-985-2570
3rd row02-929-5566
4th row031-991-7154
5th row031-988-2079
ValueCountFrequency (%)
050-8916-0055 7
 
0.2%
031-984-9987 6
 
0.2%
02-3142-5172 6
 
0.2%
031-989-0352 6
 
0.2%
031-989-1556 4
 
0.1%
031-987-9150 4
 
0.1%
031-982-6909 4
 
0.1%
031-981-4254 4
 
0.1%
050-916-0055 4
 
0.1%
031-997-0110 4
 
0.1%
Other values (2962) 3151
98.5%
2023-12-12T21:07:17.790561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6396
16.6%
0 4819
12.5%
9 4746
12.3%
3 4541
11.8%
1 4352
11.3%
8 3838
10.0%
2 2292
 
6.0%
6 2003
 
5.2%
5 1862
 
4.8%
7 1850
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32057
83.4%
Dash Punctuation 6396
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4819
15.0%
9 4746
14.8%
3 4541
14.2%
1 4352
13.6%
8 3838
12.0%
2 2292
7.1%
6 2003
6.2%
5 1862
 
5.8%
7 1850
 
5.8%
4 1754
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 6396
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38453
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6396
16.6%
0 4819
12.5%
9 4746
12.3%
3 4541
11.8%
1 4352
11.3%
8 3838
10.0%
2 2292
 
6.0%
6 2003
 
5.2%
5 1862
 
4.8%
7 1850
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6396
16.6%
0 4819
12.5%
9 4746
12.3%
3 4541
11.8%
1 4352
11.3%
8 3838
10.0%
2 2292
 
6.0%
6 2003
 
5.2%
5 1862
 
4.8%
7 1850
 
4.8%

종업원수
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6033219
Minimum0
Maximum300
Zeros99
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size54.1 KiB
2023-12-12T21:07:17.982488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q310
95-th percentile28
Maximum300
Range300
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.168816
Coefficient of variation (CV)1.2671465
Kurtosis119.28608
Mean9.6033219
Median Absolute Deviation (MAD)3
Skewness7.8381841
Sum58974
Variance148.08008
MonotonicityNot monotonic
2023-12-12T21:07:18.194597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 792
12.9%
3 586
 
9.5%
4 581
 
9.5%
10 560
 
9.1%
6 489
 
8.0%
2 415
 
6.8%
7 374
 
6.1%
8 319
 
5.2%
9 209
 
3.4%
15 196
 
3.2%
Other values (81) 1620
26.4%
ValueCountFrequency (%)
0 99
 
1.6%
1 185
 
3.0%
2 415
6.8%
3 586
9.5%
4 581
9.5%
5 792
12.9%
6 489
8.0%
7 374
6.1%
8 319
5.2%
9 209
 
3.4%
ValueCountFrequency (%)
300 1
< 0.1%
264 1
< 0.1%
193 1
< 0.1%
182 1
< 0.1%
160 1
< 0.1%
145 1
< 0.1%
144 1
< 0.1%
129 1
< 0.1%
124 1
< 0.1%
120 2
< 0.1%

생산품
Text

Distinct4690
Distinct (%)76.4%
Missing4
Missing (%)0.1%
Memory size48.1 KiB
2023-12-12T21:07:18.594696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length50
Mean length7.7254359
Min length1

Characters and Unicode

Total characters47411
Distinct characters761
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4157 ?
Unique (%)67.7%

Sample

1st row세대별창고보관함,스마트우편함,음식물종량제처리기
2nd row고무판
3rd row감시용카메라전용부품,통신장비배선용플러그,와이어하네스등
4th row관상어 어항 수질 개선제
5th row가구,CCTV,배전반,가로등
ValueCountFrequency (%)
등 179
 
2.2%
및 171
 
2.1%
목재가구 70
 
0.8%
외 68
 
0.8%
가구 62
 
0.8%
플라스틱 49
 
0.6%
알루미늄 44
 
0.5%
금형 32
 
0.4%
송풍기 29
 
0.4%
승강기 29
 
0.4%
Other values (5112) 7511
91.1%
2023-12-12T21:07:19.248309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 2329
 
4.9%
2190
 
4.6%
기 2067
 
4.4%
품 964
 
2.0%
스 941
 
2.0%
용 882
 
1.9%
가 832
 
1.8%
구 822
 
1.7%
조 818
 
1.7%
제 818
 
1.7%
Other values (751) 34748
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41016
86.5%
Other Punctuation 2352
 
5.0%
Space Separator 2190
 
4.6%
Uppercase Letter 1187
 
2.5%
Lowercase Letter 211
 
0.4%
Open Punctuation 189
 
0.4%
Close Punctuation 188
 
0.4%
Decimal Number 60
 
0.1%
Dash Punctuation 16
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2067
 
5.0%
품 964
 
2.4%
스 941
 
2.3%
용 882
 
2.2%
가 832
 
2.0%
구 822
 
2.0%
조 818
 
2.0%
제 818
 
2.0%
장 747
 
1.8%
이 721
 
1.8%
Other values (686) 31404
76.6%
Uppercase Letter
ValueCountFrequency (%)
E 156
13.1%
P 130
11.0%
L 129
10.9%
D 121
10.2%
C 112
9.4%
A 64
 
5.4%
T 62
 
5.2%
R 59
 
5.0%
S 44
 
3.7%
V 41
 
3.5%
Other values (13) 269
22.7%
Lowercase Letter
ValueCountFrequency (%)
t 22
10.4%
e 22
10.4%
i 21
10.0%
n 15
 
7.1%
l 15
 
7.1%
c 15
 
7.1%
r 13
 
6.2%
o 13
 
6.2%
p 12
 
5.7%
a 12
 
5.7%
Other values (13) 51
24.2%
Decimal Number
ValueCountFrequency (%)
3 14
23.3%
1 12
20.0%
0 9
15.0%
4 8
13.3%
9 5
 
8.3%
8 5
 
8.3%
2 4
 
6.7%
6 2
 
3.3%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 2329
99.0%
/ 18
 
0.8%
' 4
 
0.2%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41015
86.5%
Common 4997
 
10.5%
Latin 1398
 
2.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2067
 
5.0%
품 964
 
2.4%
스 941
 
2.3%
용 882
 
2.2%
가 832
 
2.0%
구 822
 
2.0%
조 818
 
2.0%
제 818
 
2.0%
장 747
 
1.8%
이 721
 
1.8%
Other values (685) 31403
76.6%
Latin
ValueCountFrequency (%)
E 156
 
11.2%
P 130
 
9.3%
L 129
 
9.2%
D 121
 
8.7%
C 112
 
8.0%
A 64
 
4.6%
T 62
 
4.4%
R 59
 
4.2%
S 44
 
3.1%
V 41
 
2.9%
Other values (36) 480
34.3%
Common
ValueCountFrequency (%)
, 2329
46.6%
2190
43.8%
( 189
 
3.8%
) 188
 
3.8%
/ 18
 
0.4%
- 16
 
0.3%
3 14
 
0.3%
1 12
 
0.2%
0 9
 
0.2%
4 8
 
0.2%
Other values (9) 24
 
0.5%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41013
86.5%
ASCII 6395
 
13.5%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 2329
36.4%
2190
34.2%
( 189
 
3.0%
) 188
 
2.9%
E 156
 
2.4%
P 130
 
2.0%
L 129
 
2.0%
D 121
 
1.9%
C 112
 
1.8%
A 64
 
1.0%
Other values (55) 787
 
12.3%
Hangul
ValueCountFrequency (%)
기 2067
 
5.0%
품 964
 
2.4%
스 941
 
2.3%
용 882
 
2.2%
가 832
 
2.0%
구 822
 
2.0%
조 818
 
2.0%
제 818
 
2.0%
장 747
 
1.8%
이 721
 
1.8%
Other values (683) 31401
76.6%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
50.0%
ㆍ 1
50.0%
CJK
ValueCountFrequency (%)
外 1
100.0%

주원자재
Text

MISSING 

Distinct1798
Distinct (%)67.9%
Missing3494
Missing (%)56.9%
Memory size48.1 KiB
2023-12-12T21:07:19.637544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length45
Mean length7.5806573
Min length1

Characters and Unicode

Total characters20066
Distinct characters598
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1607 ?
Unique (%)60.7%

Sample

1st row철강,스테인레스
2nd row황동, 알루미늄
3rd row물,염화나트륨
4th row생분해 원료
5th row스텐판,케이블,PANEL류
ValueCountFrequency (%)
철판 129
 
3.6%
목재 99
 
2.8%
알루미늄 72
 
2.0%
및 70
 
2.0%
금속 59
 
1.7%
플라스틱 49
 
1.4%
철 48
 
1.3%
파이프 35
 
1.0%
등 33
 
0.9%
스텐레스 32
 
0.9%
Other values (2008) 2937
82.4%
2023-12-12T21:07:20.150034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 2059
 
10.3%
934
 
4.7%
철 710
 
3.5%
스 663
 
3.3%
판 611
 
3.0%
P 429
 
2.1%
재 402
 
2.0%
이 316
 
1.6%
S 261
 
1.3%
등 257
 
1.3%
Other values (588) 13424
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13857
69.1%
Uppercase Letter 2332
 
11.6%
Other Punctuation 2073
 
10.3%
Space Separator 934
 
4.7%
Lowercase Letter 457
 
2.3%
Decimal Number 214
 
1.1%
Open Punctuation 88
 
0.4%
Close Punctuation 87
 
0.4%
Dash Punctuation 18
 
0.1%
Modifier Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
철 710
 
5.1%
스 663
 
4.8%
판 611
 
4.4%
재 402
 
2.9%
이 316
 
2.3%
등 257
 
1.9%
프 233
 
1.7%
목 226
 
1.6%
미 222
 
1.6%
알 205
 
1.5%
Other values (519) 10012
72.3%
Uppercase Letter
ValueCountFrequency (%)
P 429
18.4%
S 261
11.2%
E 240
10.3%
D 173
 
7.4%
C 155
 
6.6%
L 134
 
5.7%
M 122
 
5.2%
B 115
 
4.9%
A 115
 
4.9%
T 102
 
4.4%
Other values (15) 486
20.8%
Lowercase Letter
ValueCountFrequency (%)
e 52
11.4%
p 47
10.3%
s 45
9.8%
t 34
 
7.4%
l 32
 
7.0%
c 32
 
7.0%
a 31
 
6.8%
i 30
 
6.6%
o 22
 
4.8%
r 21
 
4.6%
Other values (12) 111
24.3%
Decimal Number
ValueCountFrequency (%)
0 56
26.2%
4 50
23.4%
3 31
14.5%
5 25
11.7%
1 23
10.7%
6 12
 
5.6%
2 11
 
5.1%
7 5
 
2.3%
8 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 2059
99.3%
/ 8
 
0.4%
% 3
 
0.1%
: 1
 
< 0.1%
& 1
 
< 0.1%
' 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
50.0%
` 2
50.0%
Space Separator
ValueCountFrequency (%)
934
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13857
69.1%
Common 3420
 
17.0%
Latin 2789
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
철 710
 
5.1%
스 663
 
4.8%
판 611
 
4.4%
재 402
 
2.9%
이 316
 
2.3%
등 257
 
1.9%
프 233
 
1.7%
목 226
 
1.6%
미 222
 
1.6%
알 205
 
1.5%
Other values (519) 10012
72.3%
Latin
ValueCountFrequency (%)
P 429
15.4%
S 261
 
9.4%
E 240
 
8.6%
D 173
 
6.2%
C 155
 
5.6%
L 134
 
4.8%
M 122
 
4.4%
B 115
 
4.1%
A 115
 
4.1%
T 102
 
3.7%
Other values (37) 943
33.8%
Common
ValueCountFrequency (%)
, 2059
60.2%
934
27.3%
( 88
 
2.6%
) 87
 
2.5%
0 56
 
1.6%
4 50
 
1.5%
3 31
 
0.9%
5 25
 
0.7%
1 23
 
0.7%
- 18
 
0.5%
Other values (12) 49
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13854
69.0%
ASCII 6207
30.9%
Compat Jamo 3
 
< 0.1%
Modifier Letters 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 2059
33.2%
934
15.0%
P 429
 
6.9%
S 261
 
4.2%
E 240
 
3.9%
D 173
 
2.8%
C 155
 
2.5%
L 134
 
2.2%
M 122
 
2.0%
B 115
 
1.9%
Other values (58) 1585
25.5%
Hangul
ValueCountFrequency (%)
철 710
 
5.1%
스 663
 
4.8%
판 611
 
4.4%
재 402
 
2.9%
이 316
 
2.3%
등 257
 
1.9%
프 233
 
1.7%
목 226
 
1.6%
미 222
 
1.6%
알 205
 
1.5%
Other values (516) 10009
72.2%
Modifier Letters
ValueCountFrequency (%)
˙ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
33.3%
ㅁ 1
33.3%
ㅐ 1
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.1 KiB
2023-11-09
6141 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-09
2nd row2023-11-09
3rd row2023-11-09
4th row2023-11-09
5th row2023-11-09

Common Values

ValueCountFrequency (%)
2023-11-09 6141
100.0%

Length

2023-12-12T21:07:20.309118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:07:20.409767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-09 6141
100.0%

Interactions

2023-12-12T21:07:09.591033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:07:09.804480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:07:10.062118image/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.
2023-12-12T21:07:10.251229image/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

회사명대표자명공장대표주소(도로명)업종번호업종명등록일전화번호팩스번호종업원수생산품주원자재데이터기준일자
0(주)키움라인박시철경기도 김포시 대곶면 율생중앙로 15325999,그 외 기타 분류 안된 금속 가공 제품 제조업2021-03-2302-598-806102-598-807210세대별창고보관함,스마트우편함,음식물종량제처리기철강,스테인레스2023-11-09
1BM테크김범식경기도 김포시 하성면 원통로51번길 38-4, 나동22199,그 외 기타 고무제품 제조업2015-07-29031-984-1296<NA>7고무판<NA>2023-11-09
2에이앤피테크놀로지(주)이대엽경기도 김포시 하성면 후평리 173-7번지 가동 2층, 3층 일부, 나동, 다동26429, 26410, 26421, 28114, 28119, 28121, 28122, 28123, 28301, 28302, 28303, 28901, 28909기타 무선 통신장비 제조업 외 12 종2021-03-17031-985-2568031-985-257027감시용카메라전용부품,통신장비배선용플러그,와이어하네스등황동, 알루미늄2023-11-09
3(KJF)마린테크조성훈경기도 김포시 양촌읍 대곶남로580번길 55-11, 1동,2동20499,그 외 기타 분류 안된 화학제품 제조업2022-12-0102-6402-995902-929-55666관상어 어항 수질 개선제물,염화나트륨2023-11-09
4(사)가람문화복지회강대복경기도 김포시 통진읍 옹정로 64-11 (총 2 필지) 외 1필지25999, 13223, 22299, 24312, 25112, 25113, 25114, 25993, 25995, 26421, 26429, 26519, 26529, 28113, 28123, 28410, 28422, 28423, 28429, 28511, 29261, 29299, 32021, 32029, 32091, 33910, 33932그 외 기타 분류 안된 금속 가공 제품 제조업 외 26 종2012-07-0902-6220-6238<NA>11가구,CCTV,배전반,가로등<NA>2023-11-09
5(사)대한문화쳬육교육협회 동우에스아이김영범경기도 김포시 월곶면 군하로 7128123,배전반 및 전기 자동제어반 제조업2023-10-23031-991-7151031-991-715410수배전반<NA>2023-11-09
6(사)한국장애인한걸음더동행중증장애인생산시설강경애경기도 김포시 월곶면 월하로 172, 4동22231,플라스틱 포대, 봉투 및 유사제품 제조업2021-04-30031-989-6880<NA>10플라스틱 포대, 봉투 및 유사제품 제조업생분해 원료2023-11-09
7(사)한빛장애인협회기전사업단김기흥경기도 김포시 대곶면 산자뫼로 127-16, (총 2필지) 외 1필지28123, 25111, 25122, 27215, 27216, 28121, 29163, 29169, 29173, 29174, 29175, 29199, 29210, 29299배전반 및 전기 자동제어반 제조업 외 13 종2021-04-26031-998-7060<NA>33폐수상하수리처리기자재,환경산업기계,모타펌프,전기공급및전기제어장치스텐판,케이블,PANEL류2023-11-09
8(유)에프알피티산업김원호경기도 김포시 통진읍 가현로4번길 8922229,기타 건축용 플라스틱 조립제품 제조업1998-01-01031-988-7400031-988-207950강화플라스틱(FRP)불포화에스테르수지유리섬유2023-11-09
9(유)영가실업권종순경기도 김포시 대곶면 대곶로 280-32 외 4필지24222,알루미늄 압연, 압출 및 연신제품 제조업2015-08-10031-988-1846031-982-283210알미늄코일<NA>2023-11-09
회사명대표자명공장대표주소(도로명)업종번호업종명등록일전화번호팩스번호종업원수생산품주원자재데이터기준일자
6131흥일푸레나박성일경기도 김포시 통진읍 고정1로30번길 5-6825119,기타 구조용 금속제품 제조업2019-05-10031-985-8222031-989-04593기타구조용금속제품제조업<NA>2023-11-09
6132흥진기계제작소이상선경기도 김포시 대곶면 율마로172번길 6829291,펄프 및 종이 가공용 기계 제조업2009-08-11<NA><NA>5골판지제작기계<NA>2023-11-09
6133흥진수지이상대경기도 김포시 대곶면 대곶북로 53622251, 22259폴리스티렌 발포 성형제품 제조업 외 1 종2003-06-24031-989-1878<NA>20스폰지가공<NA>2023-11-09
6134흥진수출전오섭경기도 김포시 월곶면 안진골로 25-5617211, 17212골판지 제조업 외 1 종1998-01-01031-981-9362031-981-93648BOX골판지2023-11-09
6135흥화기계공업(주)윤기환경기도 김포시 월곶면 고양로 3629292, 29222고무, 화학섬유 및 플라스틱 성형기 제조업 외 1 종2009-01-30<NA><NA>12수직사출성형기철재2023-11-09
6136희망패키지박옥수경기도 김포시 대곶면 거물대리 33-4번지 외 1필지17212,골판지 상자 및 가공제품 제조업2020-11-03032-563-1562032-563-15615골판지 상자골판지2023-11-09
6137희성기전허정수경기도 김포시 고촌읍 향산리 78-2번지25119,기타 구조용 금속제품 제조업2004-06-24<NA><NA>5철재류가공<NA>2023-11-09
6138희성엔테크허정수경기도 김포시 대곶면 대곶서로205번길 2225113, 25114육상 금속 골조 구조재 제조업 외 1 종2014-08-13031-985-6475031-985-64735주차설비,행거<NA>2023-11-09
6139히트월드 ENG진한석경기도 김포시 통진읍 가현로4번길 36, 11동29176,증류기, 열교환기 및 가스발생기 제조업2016-05-17032-563-6952<NA>2열교환기<NA>2023-11-09
6140힐링바이오박병희 박병은경기도 김포시 하성면 석평로110번길 1110802, 20499단미 사료 및 기타 사료 제조업 외 1 종2023-01-1902-797-111402-795-54020보조사료(생균제, 아미노산제, 혼합제), 미생물탈취제쌀겨(미강) 등2023-11-09