Overview

Dataset statistics

Number of variables7
Number of observations1943
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.2 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description인천광역시 서구 산업단지 현황 데이터입니다. 단지명, 회사명, 공장대표주소(도로명), 대표업종번호 등의 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15068278&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:09:29.007200
Analysis finished2024-01-28 14:09:30.056885
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1943
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean972
Minimum1
Maximum1943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2024-01-28T23:09:30.112233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile98.1
Q1486.5
median972
Q31457.5
95-th percentile1845.9
Maximum1943
Range1942
Interquartile range (IQR)971

Descriptive statistics

Standard deviation561.04011
Coefficient of variation (CV)0.57720175
Kurtosis-1.2
Mean972
Median Absolute Deviation (MAD)486
Skewness0
Sum1888596
Variance314766
MonotonicityStrictly increasing
2024-01-28T23:09:30.220590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1277 1
 
0.1%
1305 1
 
0.1%
1304 1
 
0.1%
1303 1
 
0.1%
1302 1
 
0.1%
1301 1
 
0.1%
1300 1
 
0.1%
1299 1
 
0.1%
1298 1
 
0.1%
Other values (1933) 1933
99.5%
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 (%)
1943 1
0.1%
1942 1
0.1%
1941 1
0.1%
1940 1
0.1%
1939 1
0.1%
1938 1
0.1%
1937 1
0.1%
1936 1
0.1%
1935 1
0.1%
1934 1
0.1%

단지명
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
뷰티풀파크
797 
한국수출산업(주안)국가산업단지
326 
인천서부일반산업단지
260 
인천일반산업단지
232 
IHP도시첨단산업단지
182 
Other values (3)
146 

Length

Max length17
Median length16
Mean length9.1662378
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천일반산업단지
2nd row한국수출산업(주안)국가산업단지
3rd row한국수출산업(주안)국가산업단지
4th row뷰티풀파크
5th rowI-Food Park일반산업단지

Common Values

ValueCountFrequency (%)
뷰티풀파크 797
41.0%
한국수출산업(주안)국가산업단지 326
16.8%
인천서부일반산업단지 260
 
13.4%
인천일반산업단지 232
 
11.9%
IHP도시첨단산업단지 182
 
9.4%
I-Food Park일반산업단지 56
 
2.9%
인천기계일반산업단지 51
 
2.6%
인천청라1지구일반산업단지 39
 
2.0%

Length

2024-01-28T23:09:30.325475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:09:30.413599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
뷰티풀파크 797
39.9%
한국수출산업(주안)국가산업단지 326
16.3%
인천서부일반산업단지 260
 
13.0%
인천일반산업단지 232
 
11.6%
ihp도시첨단산업단지 182
 
9.1%
i-food 56
 
2.8%
park일반산업단지 56
 
2.8%
인천기계일반산업단지 51
 
2.6%
인천청라1지구일반산업단지 39
 
2.0%
Distinct1893
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2024-01-28T23:09:30.611173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.8347916
Min length2

Characters and Unicode

Total characters13280
Distinct characters554
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1848 ?
Unique (%)95.1%

Sample

1st row(유)프리티스킨인터내셔널
2nd row(주)TPC메카트로닉스
3rd row(주)가람테크
4th row(주)가림목재
5th row(주)가림씨푸드
ValueCountFrequency (%)
주식회사 59
 
2.8%
인천공장 9
 
0.4%
대명금속 5
 
0.2%
인천지점 4
 
0.2%
알비코리아(주 3
 
0.1%
주)신한메탈 3
 
0.1%
농업회사법인 3
 
0.1%
유한회사 3
 
0.1%
그린페이퍼 3
 
0.1%
대경하이테크 2
 
0.1%
Other values (1923) 1978
95.5%
2024-01-28T23:09:30.913829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1155
 
8.7%
) 1091
 
8.2%
( 1091
 
8.2%
469
 
3.5%
425
 
3.2%
256
 
1.9%
195
 
1.5%
192
 
1.4%
171
 
1.3%
171
 
1.3%
Other values (544) 8064
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10625
80.0%
Close Punctuation 1091
 
8.2%
Open Punctuation 1091
 
8.2%
Uppercase Letter 223
 
1.7%
Space Separator 143
 
1.1%
Other Punctuation 28
 
0.2%
Lowercase Letter 28
 
0.2%
Decimal Number 25
 
0.2%
Other Symbol 19
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1155
 
10.9%
469
 
4.4%
425
 
4.0%
256
 
2.4%
195
 
1.8%
192
 
1.8%
171
 
1.6%
171
 
1.6%
169
 
1.6%
143
 
1.3%
Other values (491) 7279
68.5%
Uppercase Letter
ValueCountFrequency (%)
E 31
13.9%
C 22
 
9.9%
T 22
 
9.9%
S 17
 
7.6%
N 15
 
6.7%
G 14
 
6.3%
K 12
 
5.4%
H 12
 
5.4%
M 9
 
4.0%
J 9
 
4.0%
Other values (14) 60
26.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
o 4
14.3%
a 3
10.7%
r 3
10.7%
i 2
 
7.1%
c 2
 
7.1%
l 1
 
3.6%
p 1
 
3.6%
m 1
 
3.6%
v 1
 
3.6%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
2 11
44.0%
1 6
24.0%
3 3
 
12.0%
4 2
 
8.0%
9 1
 
4.0%
7 1
 
4.0%
6 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 19
67.9%
& 9
32.1%
Close Punctuation
ValueCountFrequency (%)
) 1091
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1091
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Other Symbol
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10644
80.2%
Common 2385
 
18.0%
Latin 251
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1155
 
10.9%
469
 
4.4%
425
 
4.0%
256
 
2.4%
195
 
1.8%
192
 
1.8%
171
 
1.6%
171
 
1.6%
169
 
1.6%
143
 
1.3%
Other values (492) 7298
68.6%
Latin
ValueCountFrequency (%)
E 31
 
12.4%
C 22
 
8.8%
T 22
 
8.8%
S 17
 
6.8%
N 15
 
6.0%
G 14
 
5.6%
K 12
 
4.8%
H 12
 
4.8%
M 9
 
3.6%
J 9
 
3.6%
Other values (29) 88
35.1%
Common
ValueCountFrequency (%)
) 1091
45.7%
( 1091
45.7%
143
 
6.0%
. 19
 
0.8%
2 11
 
0.5%
& 9
 
0.4%
- 7
 
0.3%
1 6
 
0.3%
3 3
 
0.1%
4 2
 
0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10625
80.0%
ASCII 2636
 
19.8%
None 19
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1155
 
10.9%
469
 
4.4%
425
 
4.0%
256
 
2.4%
195
 
1.8%
192
 
1.8%
171
 
1.6%
171
 
1.6%
169
 
1.6%
143
 
1.3%
Other values (491) 7279
68.5%
ASCII
ValueCountFrequency (%)
) 1091
41.4%
( 1091
41.4%
143
 
5.4%
E 31
 
1.2%
C 22
 
0.8%
T 22
 
0.8%
. 19
 
0.7%
S 17
 
0.6%
N 15
 
0.6%
G 14
 
0.5%
Other values (42) 171
 
6.5%
None
ValueCountFrequency (%)
19
100.0%
Distinct1728
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2024-01-28T23:09:31.157543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length64
Mean length31.884714
Min length14

Characters and Unicode

Total characters61952
Distinct characters250
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1573 ?
Unique (%)81.0%

Sample

1st row인천광역시 서구 가정로38번길 18, 1동 2층 20호 (가좌동, 영창테크노타운)
2nd row인천광역시 서구 백범로603번길 24 (가좌동, A동)
3rd row인천광역시 서구 백범로701번길 7 (가좌동)
4th row인천광역시 서구 오류동 0 번지 검단일반산업단지 5-2
5th row인천광역시 서구 소담로 55(금곡동)
ValueCountFrequency (%)
서구 1944
 
15.2%
인천광역시 1943
 
15.2%
오류동 642
 
5.0%
가좌동 533
 
4.2%
1동 341
 
2.7%
경서동 209
 
1.6%
보듬로 203
 
1.6%
블루텍 174
 
1.4%
158 171
 
1.3%
14 169
 
1.3%
Other values (1414) 6427
50.4%
2024-01-28T23:09:31.759397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10814
 
17.5%
1 2746
 
4.4%
2612
 
4.2%
2208
 
3.6%
2089
 
3.4%
2067
 
3.3%
1949
 
3.1%
1945
 
3.1%
1945
 
3.1%
1944
 
3.1%
Other values (240) 31633
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34526
55.7%
Decimal Number 11123
 
18.0%
Space Separator 10814
 
17.5%
Close Punctuation 1941
 
3.1%
Open Punctuation 1941
 
3.1%
Other Punctuation 1137
 
1.8%
Uppercase Letter 226
 
0.4%
Dash Punctuation 209
 
0.3%
Math Symbol 29
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2612
 
7.6%
2208
 
6.4%
2089
 
6.1%
2067
 
6.0%
1949
 
5.6%
1945
 
5.6%
1945
 
5.6%
1944
 
5.6%
1930
 
5.6%
1117
 
3.2%
Other values (203) 14720
42.6%
Uppercase Letter
ValueCountFrequency (%)
B 117
51.8%
A 43
 
19.0%
C 18
 
8.0%
T 17
 
7.5%
I 10
 
4.4%
E 5
 
2.2%
R 5
 
2.2%
D 3
 
1.3%
P 2
 
0.9%
O 2
 
0.9%
Other values (3) 4
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 2746
24.7%
2 1492
13.4%
4 1205
10.8%
5 1012
 
9.1%
3 982
 
8.8%
0 956
 
8.6%
8 798
 
7.2%
6 754
 
6.8%
9 663
 
6.0%
7 515
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
d 1
16.7%
a 1
16.7%
r 1
16.7%
k 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1120
98.5%
& 9
 
0.8%
. 6
 
0.5%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
10814
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1941
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34526
55.7%
Common 27194
43.9%
Latin 232
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2612
 
7.6%
2208
 
6.4%
2089
 
6.1%
2067
 
6.0%
1949
 
5.6%
1945
 
5.6%
1945
 
5.6%
1944
 
5.6%
1930
 
5.6%
1117
 
3.2%
Other values (203) 14720
42.6%
Common
ValueCountFrequency (%)
10814
39.8%
1 2746
 
10.1%
) 1941
 
7.1%
( 1941
 
7.1%
2 1492
 
5.5%
4 1205
 
4.4%
, 1120
 
4.1%
5 1012
 
3.7%
3 982
 
3.6%
0 956
 
3.5%
Other values (9) 2985
 
11.0%
Latin
ValueCountFrequency (%)
B 117
50.4%
A 43
 
18.5%
C 18
 
7.8%
T 17
 
7.3%
I 10
 
4.3%
E 5
 
2.2%
R 5
 
2.2%
D 3
 
1.3%
o 2
 
0.9%
P 2
 
0.9%
Other values (8) 10
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34526
55.7%
ASCII 27426
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10814
39.4%
1 2746
 
10.0%
) 1941
 
7.1%
( 1941
 
7.1%
2 1492
 
5.4%
4 1205
 
4.4%
, 1120
 
4.1%
5 1012
 
3.7%
3 982
 
3.6%
0 956
 
3.5%
Other values (27) 3217
 
11.7%
Hangul
ValueCountFrequency (%)
2612
 
7.6%
2208
 
6.4%
2089
 
6.1%
2067
 
6.0%
1949
 
5.6%
1945
 
5.6%
1945
 
5.6%
1944
 
5.6%
1930
 
5.6%
1117
 
3.2%
Other values (203) 14720
42.6%

대표업종번호
Real number (ℝ)

Distinct285
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25605.816
Minimum10121
Maximum68112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2024-01-28T23:09:31.865273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10121
5-th percentile10759
Q124132.5
median25992
Q329171
95-th percentile32029
Maximum68112
Range57991
Interquartile range (IQR)5038.5

Descriptive statistics

Standard deviation6874.8807
Coefficient of variation (CV)0.26848903
Kurtosis13.215352
Mean25605.816
Median Absolute Deviation (MAD)3150
Skewness1.564148
Sum49752101
Variance47263985
MonotonicityNot monotonic
2024-01-28T23:09:31.963068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25922 124
 
6.4%
29294 58
 
3.0%
25929 58
 
3.0%
25924 48
 
2.5%
28123 42
 
2.2%
20423 40
 
2.1%
26299 40
 
2.1%
29299 35
 
1.8%
29133 29
 
1.5%
32029 28
 
1.4%
Other values (275) 1441
74.2%
ValueCountFrequency (%)
10121 3
 
0.2%
10122 5
 
0.3%
10129 17
0.9%
10211 3
 
0.2%
10212 5
 
0.3%
10213 2
 
0.1%
10219 8
0.4%
10220 2
 
0.1%
10301 1
 
0.1%
10302 1
 
0.1%
ValueCountFrequency (%)
68112 19
1.0%
38322 1
 
0.1%
38321 2
 
0.1%
38311 2
 
0.1%
34020 1
 
0.1%
34019 2
 
0.1%
33999 13
0.7%
33993 2
 
0.1%
33992 1
 
0.1%
33932 5
 
0.3%
Distinct578
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2024-01-28T23:09:32.235006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length16.216161
Min length3

Characters and Unicode

Total characters31508
Distinct characters313
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

Unique294 ?
Unique (%)15.1%

Sample

1st row화장품 제조업
2nd row공기 조화장치 제조업
3rd row플라스틱 적층, 도포 및 기타 표면처리 제품 제조업
4th row일반 제재업
5th row수산동물 건조 및 염장품 제조업
ValueCountFrequency (%)
제조업 1538
 
15.2%
1001
 
9.9%
712
 
7.0%
683
 
6.7%
기타 569
 
5.6%
1 438
 
4.3%
318
 
3.1%
금속 175
 
1.7%
도금업 124
 
1.2%
2 109
 
1.1%
Other values (505) 4453
44.0%
2024-01-28T23:09:32.621869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8177
26.0%
2007
 
6.4%
1993
 
6.3%
1766
 
5.6%
1375
 
4.4%
1024
 
3.2%
712
 
2.3%
696
 
2.2%
573
 
1.8%
540
 
1.7%
Other values (303) 12645
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22370
71.0%
Space Separator 8177
 
26.0%
Decimal Number 700
 
2.2%
Other Punctuation 217
 
0.7%
Open Punctuation 22
 
0.1%
Close Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2007
 
9.0%
1993
 
8.9%
1766
 
7.9%
1375
 
6.1%
1024
 
4.6%
712
 
3.2%
696
 
3.1%
573
 
2.6%
540
 
2.4%
537
 
2.4%
Other values (289) 11147
49.8%
Decimal Number
ValueCountFrequency (%)
1 456
65.1%
2 110
 
15.7%
3 57
 
8.1%
4 34
 
4.9%
5 17
 
2.4%
6 16
 
2.3%
7 6
 
0.9%
8 3
 
0.4%
9 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 201
92.6%
. 16
 
7.4%
Space Separator
ValueCountFrequency (%)
8177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22370
71.0%
Common 9138
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2007
 
9.0%
1993
 
8.9%
1766
 
7.9%
1375
 
6.1%
1024
 
4.6%
712
 
3.2%
696
 
3.1%
573
 
2.6%
540
 
2.4%
537
 
2.4%
Other values (289) 11147
49.8%
Common
ValueCountFrequency (%)
8177
89.5%
1 456
 
5.0%
, 201
 
2.2%
2 110
 
1.2%
3 57
 
0.6%
4 34
 
0.4%
( 22
 
0.2%
) 22
 
0.2%
5 17
 
0.2%
6 16
 
0.2%
Other values (4) 26
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22359
71.0%
ASCII 9138
29.0%
Compat Jamo 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8177
89.5%
1 456
 
5.0%
, 201
 
2.2%
2 110
 
1.2%
3 57
 
0.6%
4 34
 
0.4%
( 22
 
0.2%
) 22
 
0.2%
5 17
 
0.2%
6 16
 
0.2%
Other values (4) 26
 
0.3%
Hangul
ValueCountFrequency (%)
2007
 
9.0%
1993
 
8.9%
1766
 
7.9%
1375
 
6.1%
1024
 
4.6%
712
 
3.2%
696
 
3.1%
573
 
2.6%
540
 
2.4%
537
 
2.4%
Other values (288) 11136
49.8%
Compat Jamo
ValueCountFrequency (%)
11
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-08-03
1943 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-03
2nd row2023-08-03
3rd row2023-08-03
4th row2023-08-03
5th row2023-08-03

Common Values

ValueCountFrequency (%)
2023-08-03 1943
100.0%

Length

2024-01-28T23:09:32.735705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:09:32.811199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-03 1943
100.0%

Interactions

2024-01-28T23:09:29.748799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:09:29.592962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:09:29.830586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:09:29.673401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:09:32.866117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명대표업종번호
순번1.0000.1610.111
단지명0.1611.0000.453
대표업종번호0.1110.4531.000
2024-01-28T23:09:32.949183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대표업종번호단지명
순번1.0000.0550.077
대표업종번호0.0551.0000.274
단지명0.0770.2741.000

Missing values

2024-01-28T23:09:29.924818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:09:30.016405image/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

순번단지명회사명공장대표주소(도로명)대표업종번호업종명데이터기준일
01인천일반산업단지(유)프리티스킨인터내셔널인천광역시 서구 가정로38번길 18, 1동 2층 20호 (가좌동, 영창테크노타운)20423화장품 제조업2023-08-03
12한국수출산업(주안)국가산업단지(주)TPC메카트로닉스인천광역시 서구 백범로603번길 24 (가좌동, A동)29172공기 조화장치 제조업2023-08-03
23한국수출산업(주안)국가산업단지(주)가람테크인천광역시 서구 백범로701번길 7 (가좌동)22292플라스틱 적층, 도포 및 기타 표면처리 제품 제조업2023-08-03
34뷰티풀파크(주)가림목재인천광역시 서구 오류동 0 번지 검단일반산업단지 5-216101일반 제재업2023-08-03
45I-Food Park일반산업단지(주)가림씨푸드인천광역시 서구 소담로 55(금곡동)10212수산동물 건조 및 염장품 제조업2023-08-03
56뷰티풀파크(주)가야인천광역시 서구 가람로 33 (오류동)23322레미콘 제조업 외 3 종2023-08-03
67인천기계일반산업단지(주)가온인천광역시 서구 장고개로126번길 17-7 (가좌동)26222경성 인쇄회로기판 제조업 외 2 종2023-08-03
78뷰티풀파크(주)가온세정인천광역시 서구 가람로 14, 1층 인천표면처리센터 코아텍 109호 (오류동) 1층 인천표면처리센터 코아텍 109호25922도금업 외 1 종2023-08-03
89뷰티풀파크(주)가온세정 제2공장지점인천광역시 서구 가람로 14, 1동 7층 702호(오류동, 인천표면처리센터 요진코아텍) 1동 7층 702호 외 1필지25922도금업 외 1 종2023-08-03
910인천서부일반산업단지(주)가온프라텍인천광역시 서구 원전로 5 (경서동)22299그 외 기타 플라스틱 제품 제조업2023-08-03
순번단지명회사명공장대표주소(도로명)대표업종번호업종명데이터기준일
19331934뷰티풀파크화성금속인천광역시 서구 가람로 14, 1동 5층 522호(오류동, 인천표면처리센터 요진코아텍) 1동 5층 522호 외 1필지25922도금업2023-08-03
19341935인천일반산업단지화신프레스인천광역시 서구 건지로250번길 105, 1동 및 2동 (가좌동)25924절삭가공 및 유사처리업 외 1 종2023-08-03
19351936한국수출산업(주안)국가산업단지화인화학(주)인천광역시 서구 가좌로12번길 35 (가좌동, 5동) 외 1필지20202합성수지 및 기타 플라스틱 물질 제조업2023-08-03
19361937인천서부일반산업단지환금주공인천광역시 서구 사렴로21번길 7 (경서동)24311선철주물 주조업2023-08-03
19371938인천기계일반산업단지효림열처리인천광역시 서구 가좌동 507-3번지25921금속 열처리업 외 1 종2023-08-03
19381939인천서부일반산업단지효성산업인천광역시 서구 사렴로9번길 24 (경서동)25929그 외 기타 금속가공업2023-08-03
19391940한국수출산업(주안)국가산업단지훈필레이저시스템인천광역시 서구 가좌로29번길 14 (가좌동) 1동 1층 106호29294주형 및 금형 제조업2023-08-03
19401941한국수출산업(주안)국가산업단지휴먼시스템인천광역시 서구 가좌로 54, 3층 303호 (가좌동) 3층 303호28123배전반 및 전기 자동제어반 제조업2023-08-03
19411942IHP도시첨단산업단지휴미텍코리아(주)인천광역시 서구 파랑로466번길 76 (청라동)29171산업용 냉장 및 냉동 장비 제조업 외 4 종2023-08-03
19421943IHP도시첨단산업단지휴코스메딕인천광역시 서구 파랑로 495, 1동 501호(청라동) 1동 501호 외 1필지20423화장품 제조업2023-08-03