Overview

Dataset statistics

Number of variables6
Number of observations4673
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory223.7 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description서울특별시 금천구 제조업체 현황에 관한 정보로 업체명, 전화번호, 주소, 업종명, 데이터기준일자 등을 제공합니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15112365/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:22:27.884027
Analysis finished2024-03-14 13:22:29.993563
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct4673
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337
Minimum1
Maximum4673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.2 KiB
2024-03-14T22:22:30.198040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile234.6
Q11169
median2337
Q33505
95-th percentile4439.4
Maximum4673
Range4672
Interquartile range (IQR)2336

Descriptive statistics

Standard deviation1349.1232
Coefficient of variation (CV)0.5772885
Kurtosis-1.2
Mean2337
Median Absolute Deviation (MAD)1168
Skewness0
Sum10920801
Variance1820133.5
MonotonicityStrictly increasing
2024-03-14T22:22:30.613877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3105 1
 
< 0.1%
3121 1
 
< 0.1%
3120 1
 
< 0.1%
3119 1
 
< 0.1%
3118 1
 
< 0.1%
3117 1
 
< 0.1%
3116 1
 
< 0.1%
3115 1
 
< 0.1%
3114 1
 
< 0.1%
Other values (4663) 4663
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4673 1
< 0.1%
4672 1
< 0.1%
4671 1
< 0.1%
4670 1
< 0.1%
4669 1
< 0.1%
4668 1
< 0.1%
4667 1
< 0.1%
4666 1
< 0.1%
4665 1
< 0.1%
4664 1
< 0.1%

회사명
Text

Distinct4361
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2024-03-14T22:22:31.495512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length21
Mean length7.2122833
Min length2

Characters and Unicode

Total characters33703
Distinct characters704
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

Unique4079 ?
Unique (%)87.3%

Sample

1st row(사)대한민국공무원 공상유공자회 섬유사업부
2nd row(사)대한장애인복지협회CSI시스템
3rd row(사)장애인동반성장협회
4th row(사)장애인동반성장협회 우리사업장
5th row(사)한국장애인기업협회 함께하는사람들
ValueCountFrequency (%)
주식회사 108
 
2.2%
가산지점 7
 
0.1%
주 6
 
0.1%
주)필플러스 5
 
0.1%
포스텍네트웍스(주 5
 
0.1%
세홍세차기 5
 
0.1%
tech 5
 
0.1%
에이스 5
 
0.1%
주)거봉 4
 
0.1%
주)동우밸브콘트롤 4
 
0.1%
Other values (4426) 4746
96.9%
2024-03-14T22:22:32.780724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2993
 
8.9%
( 2894
 
8.6%
) 2894
 
8.6%
이 1510
 
4.5%
스 1293
 
3.8%
에 709
 
2.1%
아 579
 
1.7%
지 437
 
1.3%
리 431
 
1.3%
크 423
 
1.3%
Other values (694) 19540
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26980
80.1%
Open Punctuation 2894
 
8.6%
Close Punctuation 2894
 
8.6%
Uppercase Letter 461
 
1.4%
Space Separator 231
 
0.7%
Lowercase Letter 167
 
0.5%
Other Punctuation 36
 
0.1%
Decimal Number 21
 
0.1%
Other Symbol 15
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2993
 
11.1%
이 1510
 
5.6%
스 1293
 
4.8%
에 709
 
2.6%
아 579
 
2.1%
지 437
 
1.6%
리 431
 
1.6%
크 423
 
1.6%
테 353
 
1.3%
트 351
 
1.3%
Other values (636) 17901
66.3%
Uppercase Letter
ValueCountFrequency (%)
S 51
 
11.1%
C 40
 
8.7%
E 39
 
8.5%
I 28
 
6.1%
N 28
 
6.1%
M 25
 
5.4%
T 24
 
5.2%
A 23
 
5.0%
P 21
 
4.6%
H 20
 
4.3%
Other values (14) 162
35.1%
Lowercase Letter
ValueCountFrequency (%)
n 29
17.4%
e 18
10.8%
l 16
9.6%
t 16
9.6%
o 15
9.0%
a 15
9.0%
i 13
7.8%
r 12
7.2%
c 8
 
4.8%
u 5
 
3.0%
Other values (9) 20
12.0%
Decimal Number
ValueCountFrequency (%)
2 8
38.1%
1 6
28.6%
4 2
 
9.5%
0 2
 
9.5%
3 2
 
9.5%
6 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 19
52.8%
& 15
41.7%
! 2
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 2894
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2894
100.0%
Space Separator
ValueCountFrequency (%)
231
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26995
80.1%
Common 6080
 
18.0%
Latin 628
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2993
 
11.1%
이 1510
 
5.6%
스 1293
 
4.8%
에 709
 
2.6%
아 579
 
2.1%
지 437
 
1.6%
리 431
 
1.6%
크 423
 
1.6%
테 353
 
1.3%
트 351
 
1.3%
Other values (637) 17916
66.4%
Latin
ValueCountFrequency (%)
S 51
 
8.1%
C 40
 
6.4%
E 39
 
6.2%
n 29
 
4.6%
I 28
 
4.5%
N 28
 
4.5%
M 25
 
4.0%
T 24
 
3.8%
A 23
 
3.7%
P 21
 
3.3%
Other values (33) 320
51.0%
Common
ValueCountFrequency (%)
( 2894
47.6%
) 2894
47.6%
231
 
3.8%
. 19
 
0.3%
& 15
 
0.2%
2 8
 
0.1%
1 6
 
0.1%
- 3
 
< 0.1%
4 2
 
< 0.1%
! 2
 
< 0.1%
Other values (4) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26980
80.1%
ASCII 6708
 
19.9%
None 15
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2993
 
11.1%
이 1510
 
5.6%
스 1293
 
4.8%
에 709
 
2.6%
아 579
 
2.1%
지 437
 
1.6%
리 431
 
1.6%
크 423
 
1.6%
테 353
 
1.3%
트 351
 
1.3%
Other values (636) 17901
66.3%
ASCII
ValueCountFrequency (%)
( 2894
43.1%
) 2894
43.1%
231
 
3.4%
S 51
 
0.8%
C 40
 
0.6%
E 39
 
0.6%
n 29
 
0.4%
I 28
 
0.4%
N 28
 
0.4%
M 25
 
0.4%
Other values (47) 449
 
6.7%
None
ValueCountFrequency (%)
㈜ 15
100.0%

전화번호
Text

Distinct3553
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2024-03-14T22:22:33.820741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.6186604
Min length1

Characters and Unicode

Total characters44948
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3334 ?
Unique (%)71.3%

Sample

1st row02-2082-5394
2nd row02-2629-4641
3rd row02-2269-5565
4th row070-4607-5880
5th row
ValueCountFrequency (%)
02-837-0150 5
 
0.1%
02-6267-8880 5
 
0.1%
02-896-0311 4
 
0.1%
02 4
 
0.1%
02-2107-7840 4
 
0.1%
02-1111-1111 4
 
0.1%
02-2636-0369 4
 
0.1%
02-866-1764 3
 
0.1%
02-853-5250 3
 
0.1%
02-2628-8866 3
 
0.1%
Other values (3542) 3761
99.0%
2024-03-14T22:22:35.283206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7574
16.9%
0 7533
16.8%
2 6755
15.0%
8 3846
8.6%
6 3342
7.4%
1 2922
 
6.5%
5 2712
 
6.0%
7 2711
 
6.0%
3 2621
 
5.8%
4 2078
 
4.6%
Other values (5) 2854
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36456
81.1%
Dash Punctuation 7574
 
16.9%
Space Separator 873
 
1.9%
Uppercase Letter 45
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7533
20.7%
2 6755
18.5%
8 3846
10.5%
6 3342
9.2%
1 2922
 
8.0%
5 2712
 
7.4%
7 2711
 
7.4%
3 2621
 
7.2%
4 2078
 
5.7%
9 1936
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 15
33.3%
R 15
33.3%
S 15
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 7574
100.0%
Space Separator
ValueCountFrequency (%)
873
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44903
99.9%
Latin 45
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7574
16.9%
0 7533
16.8%
2 6755
15.0%
8 3846
8.6%
6 3342
7.4%
1 2922
 
6.5%
5 2712
 
6.0%
7 2711
 
6.0%
3 2621
 
5.8%
4 2078
 
4.6%
Other values (2) 2809
 
6.3%
Latin
ValueCountFrequency (%)
A 15
33.3%
R 15
33.3%
S 15
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7574
16.9%
0 7533
16.8%
2 6755
15.0%
8 3846
8.6%
6 3342
7.4%
1 2922
 
6.5%
5 2712
 
6.0%
7 2711
 
6.0%
3 2621
 
5.8%
4 2078
 
4.6%
Other values (5) 2854
 
6.3%

공장주소
Text

Distinct4495
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2024-03-14T22:22:36.567709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length66
Mean length42.912476
Min length21

Characters and Unicode

Total characters200530
Distinct characters325
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

Unique4366 ?
Unique (%)93.4%

Sample

1st row서울특별시 금천구 벚꽃로 244 14층 9호 (가산동 벽산디지털밸리V)
2nd row서울특별시 금천구 가산디지털1로 19 7층 701호(가산동 대륭테크노타운18차)
3rd row서울특별시 금천구 가산디지털1로 33-33 5층 505-1호 (가산동 대륭테크노타운2) 외 1필지
4th row서울특별시 금천구 가산디지털1로 25 7층 708호 (가산동 대륭테크노타운17차)
5th row서울특별시 금천구 가산디지털2로 184 벽산디지털밸리2 1023 (가산동)
ValueCountFrequency (%)
서울특별시 4673
 
12.3%
금천구 4673
 
12.3%
가산동 3118
 
8.2%
가산디지털1로 1570
 
4.1%
외 1087
 
2.9%
가산디지털2로 1055
 
2.8%
1필지 565
 
1.5%
독산동 468
 
1.2%
1동 384
 
1.0%
벚꽃로 291
 
0.8%
Other values (2362) 20041
52.8%
2024-03-14T22:22:38.364285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39594
 
19.7%
1 11207
 
5.6%
산 8215
 
4.1%
가 7130
 
3.6%
동 5688
 
2.8%
2 5125
 
2.6%
시 5025
 
2.5%
) 4941
 
2.5%
( 4941
 
2.5%
서 4935
 
2.5%
Other values (315) 103729
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111070
55.4%
Space Separator 39594
 
19.7%
Decimal Number 36223
 
18.1%
Close Punctuation 4941
 
2.5%
Open Punctuation 4941
 
2.5%
Uppercase Letter 2769
 
1.4%
Dash Punctuation 580
 
0.3%
Math Symbol 146
 
0.1%
Lowercase Letter 130
 
0.1%
Other Punctuation 84
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 8215
 
7.4%
가 7130
 
6.4%
동 5688
 
5.1%
시 5025
 
4.5%
서 4935
 
4.4%
지 4826
 
4.3%
금 4695
 
4.2%
천 4685
 
4.2%
울 4677
 
4.2%
구 4676
 
4.2%
Other values (258) 56518
50.9%
Uppercase Letter
ValueCountFrequency (%)
B 900
32.5%
A 268
 
9.7%
T 237
 
8.6%
S 199
 
7.2%
I 187
 
6.8%
K 155
 
5.6%
O 150
 
5.4%
V 102
 
3.7%
C 98
 
3.5%
W 76
 
2.7%
Other values (13) 397
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 35
26.9%
r 23
17.7%
n 12
 
9.2%
t 12
 
9.2%
w 11
 
8.5%
u 11
 
8.5%
o 11
 
8.5%
b 6
 
4.6%
s 3
 
2.3%
k 2
 
1.5%
Other values (3) 4
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 11207
30.9%
2 5125
14.1%
0 3644
 
10.1%
4 2794
 
7.7%
3 2709
 
7.5%
6 2472
 
6.8%
8 2248
 
6.2%
5 2182
 
6.0%
9 1997
 
5.5%
7 1845
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/ 75
89.3%
. 5
 
6.0%
& 4
 
4.8%
Letter Number
ValueCountFrequency (%)
Ⅲ 43
82.7%
Ⅱ 8
 
15.4%
Ⅰ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
39594
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4941
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 580
100.0%
Math Symbol
ValueCountFrequency (%)
~ 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111070
55.4%
Common 86509
43.1%
Latin 2951
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 8215
 
7.4%
가 7130
 
6.4%
동 5688
 
5.1%
시 5025
 
4.5%
서 4935
 
4.4%
지 4826
 
4.3%
금 4695
 
4.2%
천 4685
 
4.2%
울 4677
 
4.2%
구 4676
 
4.2%
Other values (258) 56518
50.9%
Latin
ValueCountFrequency (%)
B 900
30.5%
A 268
 
9.1%
T 237
 
8.0%
S 199
 
6.7%
I 187
 
6.3%
K 155
 
5.3%
O 150
 
5.1%
V 102
 
3.5%
C 98
 
3.3%
W 76
 
2.6%
Other values (29) 579
19.6%
Common
ValueCountFrequency (%)
39594
45.8%
1 11207
 
13.0%
2 5125
 
5.9%
) 4941
 
5.7%
( 4941
 
5.7%
0 3644
 
4.2%
4 2794
 
3.2%
3 2709
 
3.1%
6 2472
 
2.9%
8 2248
 
2.6%
Other values (8) 6834
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111070
55.4%
ASCII 89408
44.6%
Number Forms 52
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39594
44.3%
1 11207
 
12.5%
2 5125
 
5.7%
) 4941
 
5.5%
( 4941
 
5.5%
0 3644
 
4.1%
4 2794
 
3.1%
3 2709
 
3.0%
6 2472
 
2.8%
8 2248
 
2.5%
Other values (44) 9733
 
10.9%
Hangul
ValueCountFrequency (%)
산 8215
 
7.4%
가 7130
 
6.4%
동 5688
 
5.1%
시 5025
 
4.5%
서 4935
 
4.4%
지 4826
 
4.3%
금 4695
 
4.2%
천 4685
 
4.2%
울 4677
 
4.2%
구 4676
 
4.2%
Other values (258) 56518
50.9%
Number Forms
ValueCountFrequency (%)
Ⅲ 43
82.7%
Ⅱ 8
 
15.4%
Ⅰ 1
 
1.9%

업종명
Text

Distinct861
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2024-03-14T22:22:39.505880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length16.975391
Min length6

Characters and Unicode

Total characters79326
Distinct characters334
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)8.1%

Sample

1st row근무복 작업복 및 유사의복 제조업 외 5 종
2nd row방송장비 제조업 외 6 종
3rd row방송장비 제조업 외 2 종
4th row방송장비 제조업
5th row전시용 모형 제조업 외 1 종
ValueCountFrequency (%)
제조업 4670
18.1%
외 2739
 
10.6%
종 2064
 
8.0%
및 1826
 
7.1%
기타 1406
 
5.5%
1 1282
 
5.0%
그 675
 
2.6%
2 368
 
1.4%
전기 325
 
1.3%
전자부품 218
 
0.8%
Other values (563) 10220
39.6%
2024-03-14T22:22:41.078309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21692
27.3%
제 5727
 
7.2%
조 5004
 
6.3%
업 4869
 
6.1%
기 4137
 
5.2%
외 2796
 
3.5%
종 2129
 
2.7%
및 1828
 
2.3%
타 1416
 
1.8%
1 1342
 
1.7%
Other values (324) 28386
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55498
70.0%
Space Separator 21692
 
27.3%
Decimal Number 2124
 
2.7%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 5727
 
10.3%
조 5004
 
9.0%
업 4869
 
8.8%
기 4137
 
7.5%
외 2796
 
5.0%
종 2129
 
3.8%
및 1828
 
3.3%
타 1416
 
2.6%
용 1318
 
2.4%
전 1309
 
2.4%
Other values (312) 24965
45.0%
Decimal Number
ValueCountFrequency (%)
1 1342
63.2%
2 387
 
18.2%
3 174
 
8.2%
4 86
 
4.0%
5 52
 
2.4%
6 28
 
1.3%
8 18
 
0.8%
7 18
 
0.8%
9 11
 
0.5%
0 8
 
0.4%
Space Separator
ValueCountFrequency (%)
21692
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55498
70.0%
Common 23828
30.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 5727
 
10.3%
조 5004
 
9.0%
업 4869
 
8.8%
기 4137
 
7.5%
외 2796
 
5.0%
종 2129
 
3.8%
및 1828
 
3.3%
타 1416
 
2.6%
용 1318
 
2.4%
전 1309
 
2.4%
Other values (312) 24965
45.0%
Common
ValueCountFrequency (%)
21692
91.0%
1 1342
 
5.6%
2 387
 
1.6%
3 174
 
0.7%
4 86
 
0.4%
5 52
 
0.2%
6 28
 
0.1%
8 18
 
0.1%
7 18
 
0.1%
. 12
 
0.1%
Other values (2) 19
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55488
69.9%
ASCII 23828
30.0%
Compat Jamo 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21692
91.0%
1 1342
 
5.6%
2 387
 
1.6%
3 174
 
0.7%
4 86
 
0.4%
5 52
 
0.2%
6 28
 
0.1%
8 18
 
0.1%
7 18
 
0.1%
. 12
 
0.1%
Other values (2) 19
 
0.1%
Hangul
ValueCountFrequency (%)
제 5727
 
10.3%
조 5004
 
9.0%
업 4869
 
8.8%
기 4137
 
7.5%
외 2796
 
5.0%
종 2129
 
3.8%
및 1828
 
3.3%
타 1416
 
2.6%
용 1318
 
2.4%
전 1309
 
2.4%
Other values (311) 24955
45.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.6 KiB
2024-01-31
4673 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 4673
100.0%

Length

2024-03-14T22:22:41.481419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:22:41.760304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 4673
100.0%

Interactions

2024-03-14T22:22:29.158114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-14T22:22:29.490677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:22:29.843282image/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

연번회사명전화번호공장주소업종명데이터기준일자
01(사)대한민국공무원 공상유공자회 섬유사업부02-2082-5394서울특별시 금천구 벚꽃로 244 14층 9호 (가산동 벽산디지털밸리V)근무복 작업복 및 유사의복 제조업 외 5 종2024-01-31
12(사)대한장애인복지협회CSI시스템02-2629-4641서울특별시 금천구 가산디지털1로 19 7층 701호(가산동 대륭테크노타운18차)방송장비 제조업 외 6 종2024-01-31
23(사)장애인동반성장협회02-2269-5565서울특별시 금천구 가산디지털1로 33-33 5층 505-1호 (가산동 대륭테크노타운2) 외 1필지방송장비 제조업 외 2 종2024-01-31
34(사)장애인동반성장협회 우리사업장070-4607-5880서울특별시 금천구 가산디지털1로 25 7층 708호 (가산동 대륭테크노타운17차)방송장비 제조업2024-01-31
45(사)한국장애인기업협회 함께하는사람들서울특별시 금천구 가산디지털2로 184 벽산디지털밸리2 1023 (가산동)전시용 모형 제조업 외 1 종2024-01-31
56(유)다드코아시아02-6679-0088서울특별시 금천구 가산디지털1로 151 10층 1005호 (가산동)금속 스프링 제조업2024-01-31
67(유)홍석02-943-6530서울특별시 금천구 가산디지털1로 5 15층 1호 대륭테크노타운20 (가산동)비디오 및 기타 영상기기 제조업2024-01-31
78(주) 동명이엔에스02-8618-140서울특별시 금천구 디지털로 178 A동 9층 OA-920호 (가산동) 외 1필지배전반 및 전기 자동제어반 제조업2024-01-31
89(주) 에이피알팩토리070-4139-6684서울특별시 금천구 가산디지털2로 107 (가산동 (주)송윤사)기타 가정용 전기기기 제조업2024-01-31
910(주) 케이앤디시스템02-851-8410서울특별시 금천구 범안로 1130 디지털엠파이어 7층 10호 (가산동)그 외 기타 특수목적용 기계 제조업2024-01-31
연번회사명전화번호공장주소업종명데이터기준일자
46634664주식회사 한국밸콘02-3486-3005서울특별시 금천구 시흥대로 97 21동 129호 229호 (시흥동 시흥산업용재유통센타)기기용 자동측정 및 제어장치 제조업 외 1 종2024-01-31
46644665준애드02-895-6986서울특별시 금천구 금하로29길 20-1 (시흥동 준애드빌딩)간판 및 광고물 제조업2024-01-31
46654666첨단오트콘스주식회사02-806-4166서울특별시 금천구 시흥대로 281 503호 (시흥동)기기용 자동측정 및 제어장치 제조업 외 1 종2024-01-31
46664667한국센서공업(주)02-806-8553서울특별시 금천구 시흥대로 281 B201호 (시흥동)그 외 기타 전자부품 제조업 외 1 종2024-01-31
46674668한국엔디이(주)02-895-4255서울특별시 금천구 시흥대로 106-1 (시흥동 유영빌딩)기기용 자동측정 및 제어장치 제조업 외 4 종2024-01-31
46684669한국정밀부품(주)02-805-3000서울특별시 금천구 시흥대로77길 24-9 (시흥동)비디오 및 기타 영상기기 제조업2024-01-31
46694670한별전자02-895-8460서울특별시 금천구 시흥대로77길 24-9 (시흥동)일반용 전기 조명장치 제조업2024-01-31
46704671현대기공02-896-2138서울특별시 금천구 시흥대로47길 21 (시흥동)기타 구조용 금속제품 제조업2024-01-31
46714672흐름테크02-892-2210서울특별시 금천구 시흥대로 97 21동 207호 (시흥동 시흥산업용재유통센타)액체 여과기 제조업2024-01-31
46724673희성계전(주)02-869-6933서울특별시 금천구 시흥대로 65 (시흥동)배전반 및 전기 자동제어반 제조업2024-01-31