Overview

Dataset statistics

Number of variables8
Number of observations153
Missing cells27
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory66.9 B

Variable types

Numeric2
Text4
Categorical1
DateTime1

Dataset

Description충청남도 보령시 산업단지입주기업체현황(산업단지명, 기업명, 사업자등록번호, 전화번호)에 관한 데이터를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=422&beforeMenuCd=DOM_000000201001001000&publicdatapk=15030526

Alerts

최초등록일 has 26 (17.0%) missing valuesMissing
순번 has unique valuesUnique
종업원수 has 2 (1.3%) zerosZeros

Reproduction

Analysis started2024-01-09 21:43:04.314577
Analysis finished2024-01-09 21:43:05.313468
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.705882
Minimum2
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T06:43:05.366769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10.6
Q142
median84
Q3128
95-th percentile159.4
Maximum170
Range168
Interquartile range (IQR)86

Descriptive statistics

Standard deviation48.678711
Coefficient of variation (CV)0.57467922
Kurtosis-1.2210115
Mean84.705882
Median Absolute Deviation (MAD)43
Skewness0.017195936
Sum12960
Variance2369.6169
MonotonicityStrictly increasing
2024-01-10T06:43:05.470985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
0.7%
117 1
 
0.7%
109 1
 
0.7%
111 1
 
0.7%
112 1
 
0.7%
113 1
 
0.7%
114 1
 
0.7%
115 1
 
0.7%
116 1
 
0.7%
118 1
 
0.7%
Other values (143) 143
93.5%
ValueCountFrequency (%)
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
11 1
0.7%
12 1
0.7%
ValueCountFrequency (%)
170 1
0.7%
168 1
0.7%
167 1
0.7%
166 1
0.7%
164 1
0.7%
162 1
0.7%
161 1
0.7%
160 1
0.7%
159 1
0.7%
158 1
0.7%
Distinct149
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T06:43:05.657000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length8.2026144
Min length2

Characters and Unicode

Total characters1255
Distinct characters201
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)94.8%

Sample

1st row(주) 에스아이판
2nd row(주)강남에너텍
3rd row(주)광암섬유 2공장
4th row(주)나웅테크
5th row(주)다이스
ValueCountFrequency (%)
주식회사 34
 
17.1%
2공장 3
 
1.5%
한국후꼬꾸(주 2
 
1.0%
주)동방메디컬 2
 
1.0%
인강 2
 
1.0%
주)대성테크 2
 
1.0%
대천김 2
 
1.0%
대천맛김 2
 
1.0%
엠텍(주)2공장 1
 
0.5%
에스엔에스아이엔씨 1
 
0.5%
Other values (148) 148
74.4%
2024-01-10T06:43:06.252024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
9.6%
( 83
 
6.6%
) 83
 
6.6%
48
 
3.8%
47
 
3.7%
42
 
3.3%
42
 
3.3%
34
 
2.7%
33
 
2.6%
31
 
2.5%
Other values (191) 691
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
81.8%
Open Punctuation 83
 
6.6%
Close Punctuation 83
 
6.6%
Space Separator 48
 
3.8%
Decimal Number 7
 
0.6%
Uppercase Letter 7
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
121
 
11.8%
47
 
4.6%
42
 
4.1%
42
 
4.1%
34
 
3.3%
33
 
3.2%
31
 
3.0%
24
 
2.3%
16
 
1.6%
15
 
1.5%
Other values (178) 621
60.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
14.3%
S 1
14.3%
O 1
14.3%
L 1
14.3%
Z 1
14.3%
H 1
14.3%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 6
85.7%
3 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
81.8%
Common 222
 
17.7%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
121
 
11.8%
47
 
4.6%
42
 
4.1%
42
 
4.1%
34
 
3.3%
33
 
3.2%
31
 
3.0%
24
 
2.3%
16
 
1.6%
15
 
1.5%
Other values (178) 621
60.5%
Latin
ValueCountFrequency (%)
T 1
14.3%
S 1
14.3%
O 1
14.3%
L 1
14.3%
Z 1
14.3%
H 1
14.3%
A 1
14.3%
Common
ValueCountFrequency (%)
( 83
37.4%
) 83
37.4%
48
21.6%
2 6
 
2.7%
3 1
 
0.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
81.8%
ASCII 229
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
121
 
11.8%
47
 
4.6%
42
 
4.1%
42
 
4.1%
34
 
3.3%
33
 
3.2%
31
 
3.0%
24
 
2.3%
16
 
1.6%
15
 
1.5%
Other values (178) 621
60.5%
ASCII
ValueCountFrequency (%)
( 83
36.2%
) 83
36.2%
48
21.0%
2 6
 
2.6%
3 1
 
0.4%
T 1
 
0.4%
& 1
 
0.4%
S 1
 
0.4%
O 1
 
0.4%
L 1
 
0.4%
Other values (3) 3
 
1.3%

단지명
Categorical

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
보령웅천농공단지
40 
보령관창지방산업단지
21 
보령주포농공단지
19 
보령청소농공단지
19 
보령요암농공단지
17 
Other values (3)
37 

Length

Max length10
Median length8
Mean length8.7189542
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보령웅천농공단지
2nd row보령요암농공단지
3rd row보령주포농공단지
4th row보령웅천농공단지
5th row보령청소농공단지

Common Values

ValueCountFrequency (%)
보령웅천농공단지 40
26.1%
보령관창지방산업단지 21
13.7%
보령주포농공단지 19
12.4%
보령청소농공단지 19
12.4%
보령요암농공단지 17
11.1%
보령주포제2농공단지 17
11.1%
보령웅천석재농공단지 17
11.1%
보령주산농공단지 3
 
2.0%

Length

2024-01-10T06:43:06.364207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:06.458601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령웅천농공단지 40
26.1%
보령관창지방산업단지 21
13.7%
보령주포농공단지 19
12.4%
보령청소농공단지 19
12.4%
보령요암농공단지 17
11.1%
보령주포제2농공단지 17
11.1%
보령웅천석재농공단지 17
11.1%
보령주산농공단지 3
 
2.0%

최초등록일
Date

MISSING 

Distinct122
Distinct (%)96.1%
Missing26
Missing (%)17.0%
Memory size1.3 KiB
Minimum1991-05-01 00:00:00
Maximum2019-05-23 00:00:00
2024-01-10T06:43:06.567687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:06.667654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct137
Distinct (%)90.1%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2024-01-10T06:43:06.862416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019737
Min length11

Characters and Unicode

Total characters1827
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

Unique126 ?
Unique (%)82.9%

Sample

1st row041-934-3652
2nd row041-935-4177
3rd row041-932-3678
4th row041-931-7012
5th row041-936-8860
ValueCountFrequency (%)
041-935-8595 4
 
2.6%
041-932-3678 3
 
2.0%
031-494-9271 3
 
2.0%
041-931-6320 2
 
1.3%
041-934-3652 2
 
1.3%
041-933-9592 2
 
1.3%
041-936-8136 2
 
1.3%
041-931-6356 2
 
1.3%
041-931-6282 2
 
1.3%
041-933-4227 2
 
1.3%
Other values (127) 128
84.2%
2024-01-10T06:43:07.181318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 304
16.6%
1 253
13.8%
0 242
13.2%
3 232
12.7%
4 209
11.4%
9 194
10.6%
6 92
 
5.0%
5 84
 
4.6%
8 76
 
4.2%
2 76
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1523
83.4%
Dash Punctuation 304
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 253
16.6%
0 242
15.9%
3 232
15.2%
4 209
13.7%
9 194
12.7%
6 92
 
6.0%
5 84
 
5.5%
8 76
 
5.0%
2 76
 
5.0%
7 65
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 304
16.6%
1 253
13.8%
0 242
13.2%
3 232
12.7%
4 209
11.4%
9 194
10.6%
6 92
 
5.0%
5 84
 
4.6%
8 76
 
4.2%
2 76
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 304
16.6%
1 253
13.8%
0 242
13.2%
3 232
12.7%
4 209
11.4%
9 194
10.6%
6 92
 
5.0%
5 84
 
4.6%
8 76
 
4.2%
2 76
 
4.2%

종업원수
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.294118
Minimum0
Maximum405
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T06:43:07.298449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q327
95-th percentile102.4
Maximum405
Range405
Interquartile range (IQR)23

Descriptive statistics

Standard deviation50.871728
Coefficient of variation (CV)1.9347189
Kurtosis30.621219
Mean26.294118
Median Absolute Deviation (MAD)8
Skewness4.9652419
Sum4023
Variance2587.9327
MonotonicityNot monotonic
2024-01-10T06:43:07.410312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 20
 
13.1%
4 12
 
7.8%
6 8
 
5.2%
10 8
 
5.2%
2 8
 
5.2%
7 7
 
4.6%
8 7
 
4.6%
15 5
 
3.3%
5 5
 
3.3%
50 4
 
2.6%
Other values (43) 69
45.1%
ValueCountFrequency (%)
0 2
 
1.3%
1 20
13.1%
2 8
 
5.2%
3 4
 
2.6%
4 12
7.8%
5 5
 
3.3%
6 8
 
5.2%
7 7
 
4.6%
8 7
 
4.6%
9 2
 
1.3%
ValueCountFrequency (%)
405 1
0.7%
350 1
0.7%
200 1
0.7%
130 1
0.7%
125 1
0.7%
120 2
1.3%
103 1
0.7%
102 1
0.7%
100 1
0.7%
69 1
0.7%
Distinct130
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T06:43:07.584046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length10.294118
Min length2

Characters and Unicode

Total characters1575
Distinct characters302
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)77.1%

Sample

1st row그 외 기타고무제품 제조업
2nd row태양열집열판
3rd row나이론 D.T.Y 가공사
4th row계장·계측제어장치, 자동제어반, 프로세스제어반, 분전반, 폐쇄형배전반, 영상감시장치 등
5th row드라이아이스, 세척장비 및 부대시설
ValueCountFrequency (%)
조미김 9
 
3.0%
8
 
2.7%
석제품 5
 
1.7%
5
 
1.7%
자동차부품 5
 
1.7%
알루미늄 4
 
1.3%
영상감시장치 4
 
1.3%
가로등주 3
 
1.0%
방송장비 3
 
1.0%
cctv 3
 
1.0%
Other values (214) 248
83.5%
2024-01-10T06:43:07.865311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
9.2%
, 115
 
7.3%
36
 
2.3%
36
 
2.3%
31
 
2.0%
25
 
1.6%
25
 
1.6%
24
 
1.5%
24
 
1.5%
21
 
1.3%
Other values (292) 1093
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1195
75.9%
Space Separator 145
 
9.2%
Other Punctuation 121
 
7.7%
Uppercase Letter 67
 
4.3%
Lowercase Letter 24
 
1.5%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Decimal Number 7
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
3.0%
36
 
3.0%
31
 
2.6%
25
 
2.1%
25
 
2.1%
24
 
2.0%
24
 
2.0%
21
 
1.8%
21
 
1.8%
20
 
1.7%
Other values (253) 932
78.0%
Uppercase Letter
ValueCountFrequency (%)
C 16
23.9%
T 8
11.9%
V 8
11.9%
D 7
10.4%
E 5
 
7.5%
R 3
 
4.5%
L 3
 
4.5%
P 3
 
4.5%
S 3
 
4.5%
I 2
 
3.0%
Other values (9) 9
13.4%
Lowercase Letter
ValueCountFrequency (%)
p 4
16.7%
e 4
16.7%
l 4
16.7%
m 2
8.3%
a 2
8.3%
y 2
8.3%
u 2
8.3%
r 2
8.3%
c 2
8.3%
Decimal Number
ValueCountFrequency (%)
6 4
57.1%
0 1
 
14.3%
1 1
 
14.3%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 115
95.0%
. 5
 
4.1%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1195
75.9%
Common 289
 
18.3%
Latin 91
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
3.0%
36
 
3.0%
31
 
2.6%
25
 
2.1%
25
 
2.1%
24
 
2.0%
24
 
2.0%
21
 
1.8%
21
 
1.8%
20
 
1.7%
Other values (253) 932
78.0%
Latin
ValueCountFrequency (%)
C 16
17.6%
T 8
 
8.8%
V 8
 
8.8%
D 7
 
7.7%
E 5
 
5.5%
p 4
 
4.4%
e 4
 
4.4%
l 4
 
4.4%
R 3
 
3.3%
L 3
 
3.3%
Other values (18) 29
31.9%
Common
ValueCountFrequency (%)
145
50.2%
, 115
39.8%
( 7
 
2.4%
) 7
 
2.4%
. 5
 
1.7%
6 4
 
1.4%
- 2
 
0.7%
0 1
 
0.3%
1 1
 
0.3%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1195
75.9%
ASCII 379
 
24.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
38.3%
, 115
30.3%
C 16
 
4.2%
T 8
 
2.1%
V 8
 
2.1%
( 7
 
1.8%
) 7
 
1.8%
D 7
 
1.8%
E 5
 
1.3%
. 5
 
1.3%
Other values (28) 56
 
14.8%
Hangul
ValueCountFrequency (%)
36
 
3.0%
36
 
3.0%
31
 
2.6%
25
 
2.1%
25
 
2.1%
24
 
2.0%
24
 
2.0%
21
 
1.8%
21
 
1.8%
20
 
1.7%
Other values (253) 932
78.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct100
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T06:43:08.139056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length18.411765
Min length1

Characters and Unicode

Total characters2817
Distinct characters177
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

Unique74 ?
Unique (%)48.4%

Sample

1st row그 외 기타 고무제품 제조업
2nd row산업용 오븐, 노 및 노용 버너 제조업 외 1 종
3rd row연사 및 가공사 제조업
4th row기타 무선 통신장비 제조업 외 6 종
5th row산업용 가스 제조업
ValueCountFrequency (%)
제조업 129
 
13.7%
110
 
11.7%
88
 
9.4%
59
 
6.3%
기타 34
 
3.6%
1 31
 
3.3%
22
 
2.3%
금속 21
 
2.2%
신품 15
 
1.6%
석제품 13
 
1.4%
Other values (155) 419
44.5%
2024-01-10T06:43:08.529827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
790
28.0%
182
 
6.5%
171
 
6.1%
155
 
5.5%
110
 
3.9%
88
 
3.1%
74
 
2.6%
60
 
2.1%
58
 
2.1%
52
 
1.8%
Other values (167) 1077
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1909
67.8%
Space Separator 790
28.0%
Decimal Number 94
 
3.3%
Other Punctuation 24
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
182
 
9.5%
171
 
9.0%
155
 
8.1%
110
 
5.8%
88
 
4.6%
74
 
3.9%
60
 
3.1%
58
 
3.0%
52
 
2.7%
37
 
1.9%
Other values (156) 922
48.3%
Decimal Number
ValueCountFrequency (%)
1 36
38.3%
4 12
 
12.8%
2 11
 
11.7%
3 11
 
11.7%
5 10
 
10.6%
8 5
 
5.3%
6 4
 
4.3%
7 3
 
3.2%
9 2
 
2.1%
Space Separator
ValueCountFrequency (%)
790
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1909
67.8%
Common 908
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
182
 
9.5%
171
 
9.0%
155
 
8.1%
110
 
5.8%
88
 
4.6%
74
 
3.9%
60
 
3.1%
58
 
3.0%
52
 
2.7%
37
 
1.9%
Other values (156) 922
48.3%
Common
ValueCountFrequency (%)
790
87.0%
1 36
 
4.0%
, 24
 
2.6%
4 12
 
1.3%
2 11
 
1.2%
3 11
 
1.2%
5 10
 
1.1%
8 5
 
0.6%
6 4
 
0.4%
7 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1909
67.8%
ASCII 908
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
790
87.0%
1 36
 
4.0%
, 24
 
2.6%
4 12
 
1.3%
2 11
 
1.2%
3 11
 
1.2%
5 10
 
1.1%
8 5
 
0.6%
6 4
 
0.4%
7 3
 
0.3%
Hangul
ValueCountFrequency (%)
182
 
9.5%
171
 
9.0%
155
 
8.1%
110
 
5.8%
88
 
4.6%
74
 
3.9%
60
 
3.1%
58
 
3.0%
52
 
2.7%
37
 
1.9%
Other values (156) 922
48.3%

Interactions

2024-01-10T06:43:04.924214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:04.777941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:04.997203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:04.852514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:43:08.609290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명종업원수업종명
순번1.0000.2340.2700.712
단지명0.2341.0000.2110.972
종업원수0.2700.2111.0000.000
업종명0.7120.9720.0001.000
2024-01-10T06:43:08.679220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수단지명
순번1.0000.1390.109
종업원수0.1391.0000.112
단지명0.1090.1121.000

Missing values

2024-01-10T06:43:05.108282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:43:05.204098image/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.
2024-01-10T06:43:05.276316image/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

순번회사명단지명최초등록일전화번호종업원수생산품업종명
02(주) 에스아이판보령웅천농공단지2014-06-10041-934-36521그 외 기타고무제품 제조업그 외 기타 고무제품 제조업
13(주)강남에너텍보령요암농공단지2010-01-18041-935-41776태양열집열판산업용 오븐, 노 및 노용 버너 제조업 외 1 종
24(주)광암섬유 2공장보령주포농공단지2013-12-12041-932-367812나이론 D.T.Y 가공사연사 및 가공사 제조업
35(주)나웅테크보령웅천농공단지2015-03-03041-931-70125계장·계측제어장치, 자동제어반, 프로세스제어반, 분전반, 폐쇄형배전반, 영상감시장치 등기타 무선 통신장비 제조업 외 6 종
47(주)다이스보령청소농공단지2018-03-30041-936-886011드라이아이스, 세척장비 및 부대시설산업용 가스 제조업
58(주)대동하이텍보령청소농공단지2015-02-16031-314-85337전열기구금속 단조제품 제조업
69(주)대륜파워보령주포농공단지2009-04-10041-933-61821발전기 코일, 알루미늄 봉알루미늄 압연, 압출 및 연신제품 제조업 외 1 종
710(주)대보에스앤보령웅천농공단지2011-10-17041-931-62821폐쇄회로CCTV방송장비 제조업
811(주)대성이앤지보령요암농공단지2012-01-06041-633-018910태양광전기벌전기,가로등,지지대일반용 전기 조명장치 제조업 외 7 종
912(주)대성테크보령웅천농공단지2005-09-06041-931-96651SCK(촉매반응기)구조용 금속 판제품 및 공작물 제조업 외 1 종
순번회사명단지명최초등록일전화번호종업원수생산품업종명
143158큰양지석재보령웅천석재농공단지2012-03-16041-931-22412건설용석재품건설용 석제품 제조업 외 1 종
144159탑아이티(주)보령웅천농공단지2017-07-03041-935-61010가로등주, CC-TV, 전광판 등육상 금속 골조 구조재 제조업 외 5 종
145160태양하우징보령웅천석재농공단지2013-06-27041-931-33372컨테이너트레일러 및 세미트레일러 제조업
146161태호식품보령웅천농공단지<NA>041-934-87143멸치분, 건조홉합조각, 황태분수산동물 훈제, 조리 및 유사 조제식품 제조업
147162한국메가와트보령요암농공단지<NA>041-952-60015폐쇄형배전반 외 6종배전반 및 전기 자동제어반 제조업 외 6 종
148164한국지엠 주식회사보령관창지방산업단지2004-10-14041-939-5045405자동변속기자동차용 신품 동력전달장치 제조업 외 4 종
149166한국후꼬꾸(주)보령관창지방산업단지2011-03-22031-494-9271350자동차부품(댐퍼플리,와이퍼블래이드)자동차 엔진용 신품 부품 제조업 외 5 종
150167한국후꼬꾸(주)보령관창지방산업단지<NA>031-494-9271120Damper Pulley용 주물그 외 자동차용 신품 부품 제조업 외 3 종
151168한일석재기계보령웅천석재농공단지2003-07-04041-934-64455묘비석건설용 석제품 제조업 외 1 종
152170화림보령청소농공단지2018-05-23041-936-42436톰슨나이프(박스 절단칼)날붙이 제조업