Overview

Dataset statistics

Number of variables6
Number of observations1170
Missing cells311
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.1 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text5

Dataset

Description충청남도 당진시 관내에 입주한 공장등록 현황입니다(연번, 회사명, 전화번호,팩스번호, 생산품, 공장대표주소)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=432&beforeMenuCd=DOM_000000201001001000&publicdatapk=15052053

Alerts

전화번호 has 109 (9.3%) missing valuesMissing
팩스번호 has 197 (16.8%) missing valuesMissing

Reproduction

Analysis started2024-01-09 22:37:20.188509
Analysis finished2024-01-09 22:37:21.073914
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct1168
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean584.60085
Minimum1
Maximum1168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T07:37:21.137537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.45
Q1293.25
median585.5
Q3875.75
95-th percentile1109.55
Maximum1168
Range1167
Interquartile range (IQR)582.5

Descriptive statistics

Standard deviation337.03701
Coefficient of variation (CV)0.576525
Kurtosis-1.197092
Mean584.60085
Median Absolute Deviation (MAD)291.5
Skewness-0.00089005946
Sum683983
Variance113593.95
MonotonicityNot monotonic
2024-01-10T07:37:21.257789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
643 2
 
0.2%
644 2
 
0.2%
1 1
 
0.1%
780 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
782 1
 
0.1%
781 1
 
0.1%
779 1
 
0.1%
Other values (1158) 1158
99.0%
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 (%)
1168 1
0.1%
1167 1
0.1%
1166 1
0.1%
1165 1
0.1%
1164 1
0.1%
1163 1
0.1%
1162 1
0.1%
1161 1
0.1%
1160 1
0.1%
1159 1
0.1%
Distinct1103
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-01-10T07:37:21.453956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length7.9837607
Min length2

Characters and Unicode

Total characters9341
Distinct characters446
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1046 ?
Unique (%)89.4%

Sample

1st row (주)알비에스
2nd row 주식회사 아산레미콘
3rd row(유)제이씨테크
4th row(주)SIMPAC 당진공장
5th row(주)강원엔티에스
ValueCountFrequency (%)
주식회사 91
 
6.8%
당진공장 14
 
1.0%
농업회사법인 8
 
0.6%
현대제철(주 6
 
0.4%
당진2공장 5
 
0.4%
영농조합법인 4
 
0.3%
주)해나루싱싱닭 3
 
0.2%
주)에스피에스엔에이 3
 
0.2%
영진철강(주 3
 
0.2%
제이엔케이히터(주 3
 
0.2%
Other values (1108) 1195
89.5%
2024-01-10T07:37:22.054096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
977
 
10.5%
( 861
 
9.2%
) 861
 
9.2%
281
 
3.0%
252
 
2.7%
178
 
1.9%
177
 
1.9%
169
 
1.8%
155
 
1.7%
137
 
1.5%
Other values (436) 5293
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7356
78.7%
Open Punctuation 861
 
9.2%
Close Punctuation 861
 
9.2%
Space Separator 169
 
1.8%
Uppercase Letter 44
 
0.5%
Decimal Number 37
 
0.4%
Other Punctuation 9
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
977
 
13.3%
281
 
3.8%
252
 
3.4%
178
 
2.4%
177
 
2.4%
155
 
2.1%
137
 
1.9%
127
 
1.7%
122
 
1.7%
118
 
1.6%
Other values (407) 4832
65.7%
Uppercase Letter
ValueCountFrequency (%)
N 6
13.6%
E 5
11.4%
M 5
11.4%
C 5
11.4%
S 4
9.1%
G 4
9.1%
A 3
6.8%
T 2
 
4.5%
P 2
 
4.5%
H 2
 
4.5%
Other values (6) 6
13.6%
Decimal Number
ValueCountFrequency (%)
2 13
35.1%
1 11
29.7%
3 10
27.0%
5 1
 
2.7%
6 1
 
2.7%
4 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
& 2
 
22.2%
, 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 861
100.0%
Close Punctuation
ValueCountFrequency (%)
) 861
100.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7360
78.8%
Common 1937
 
20.7%
Latin 44
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
977
 
13.3%
281
 
3.8%
252
 
3.4%
178
 
2.4%
177
 
2.4%
155
 
2.1%
137
 
1.9%
127
 
1.7%
122
 
1.7%
118
 
1.6%
Other values (408) 4836
65.7%
Latin
ValueCountFrequency (%)
N 6
13.6%
E 5
11.4%
M 5
11.4%
C 5
11.4%
S 4
9.1%
G 4
9.1%
A 3
6.8%
T 2
 
4.5%
P 2
 
4.5%
H 2
 
4.5%
Other values (6) 6
13.6%
Common
ValueCountFrequency (%)
( 861
44.5%
) 861
44.5%
169
 
8.7%
2 13
 
0.7%
1 11
 
0.6%
3 10
 
0.5%
. 6
 
0.3%
& 2
 
0.1%
, 1
 
0.1%
5 1
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7356
78.7%
ASCII 1981
 
21.2%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
977
 
13.3%
281
 
3.8%
252
 
3.4%
178
 
2.4%
177
 
2.4%
155
 
2.1%
137
 
1.9%
127
 
1.7%
122
 
1.7%
118
 
1.6%
Other values (407) 4832
65.7%
ASCII
ValueCountFrequency (%)
( 861
43.5%
) 861
43.5%
169
 
8.5%
2 13
 
0.7%
1 11
 
0.6%
3 10
 
0.5%
N 6
 
0.3%
. 6
 
0.3%
E 5
 
0.3%
M 5
 
0.3%
Other values (18) 34
 
1.7%
None
ValueCountFrequency (%)
4
100.0%

전화번호
Text

MISSING 

Distinct971
Distinct (%)91.5%
Missing109
Missing (%)9.3%
Memory size9.3 KiB
2024-01-10T07:37:22.288760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.017908
Min length11

Characters and Unicode

Total characters12751
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

Unique894 ?
Unique (%)84.3%

Sample

1st row041-358-2010
2nd row041-352-6781
3rd row041-355-8735
4th row041-360-0122
5th row02-2624-0970
ValueCountFrequency (%)
041-356-5961 4
 
0.4%
041-357-4692 4
 
0.4%
041-354-2231 3
 
0.3%
041-363-3521 3
 
0.3%
041-354-8801 3
 
0.3%
041-355-4695 3
 
0.3%
041-355-2851 3
 
0.3%
041-358-9908 3
 
0.3%
041-355-3321 3
 
0.3%
041-357-4671 3
 
0.3%
Other values (961) 1029
97.0%
2024-01-10T07:37:22.651650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2122
16.6%
0 1866
14.6%
1 1572
12.3%
3 1512
11.9%
4 1336
10.5%
5 1131
8.9%
2 784
 
6.1%
6 777
 
6.1%
7 635
 
5.0%
8 608
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10629
83.4%
Dash Punctuation 2122
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1866
17.6%
1 1572
14.8%
3 1512
14.2%
4 1336
12.6%
5 1131
10.6%
2 784
7.4%
6 777
7.3%
7 635
 
6.0%
8 608
 
5.7%
9 408
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 2122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12751
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2122
16.6%
0 1866
14.6%
1 1572
12.3%
3 1512
11.9%
4 1336
10.5%
5 1131
8.9%
2 784
 
6.1%
6 777
 
6.1%
7 635
 
5.0%
8 608
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12751
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2122
16.6%
0 1866
14.6%
1 1572
12.3%
3 1512
11.9%
4 1336
10.5%
5 1131
8.9%
2 784
 
6.1%
6 777
 
6.1%
7 635
 
5.0%
8 608
 
4.8%

팩스번호
Text

MISSING 

Distinct868
Distinct (%)89.2%
Missing197
Missing (%)16.8%
Memory size9.3 KiB
2024-01-10T07:37:22.868008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.014388
Min length11

Characters and Unicode

Total characters11690
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

Unique781 ?
Unique (%)80.3%

Sample

1st row041-362-1005
2nd row041-352-6780
3rd row041-355-8736
4th row041-360-0190
5th row02-2624-0985
ValueCountFrequency (%)
041-357-4674 7
 
0.7%
041-357-0440 4
 
0.4%
041-356-5559 3
 
0.3%
031-8041-1849 3
 
0.3%
041-680-1198 3
 
0.3%
041-356-5965 3
 
0.3%
041-358-9995 3
 
0.3%
041-363-3520 3
 
0.3%
041-354-8803 3
 
0.3%
041-355-3224 3
 
0.3%
Other values (858) 938
96.4%
2024-01-10T07:37:23.203227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1946
16.6%
0 1548
13.2%
3 1416
12.1%
1 1336
11.4%
4 1306
11.2%
5 1041
8.9%
6 748
 
6.4%
2 687
 
5.9%
7 608
 
5.2%
8 563
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9744
83.4%
Dash Punctuation 1946
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1548
15.9%
3 1416
14.5%
1 1336
13.7%
4 1306
13.4%
5 1041
10.7%
6 748
7.7%
2 687
7.1%
7 608
 
6.2%
8 563
 
5.8%
9 491
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11690
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1946
16.6%
0 1548
13.2%
3 1416
12.1%
1 1336
11.4%
4 1306
11.2%
5 1041
8.9%
6 748
 
6.4%
2 687
 
5.9%
7 608
 
5.2%
8 563
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1946
16.6%
0 1548
13.2%
3 1416
12.1%
1 1336
11.4%
4 1306
11.2%
5 1041
8.9%
6 748
 
6.4%
2 687
 
5.9%
7 608
 
5.2%
8 563
 
4.8%
Distinct1001
Distinct (%)85.9%
Missing5
Missing (%)0.4%
Memory size9.3 KiB
2024-01-10T07:37:23.469105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length46
Mean length9.6901288
Min length1

Characters and Unicode

Total characters11289
Distinct characters571
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

Unique916 ?
Unique (%)78.6%

Sample

1st row특수목적용 기계제작
2nd row레미콘
3rd row철구조물
4th row가공철판, 합금철
5th row산업용보일러, 플랜트 설비
ValueCountFrequency (%)
79
 
3.3%
57
 
2.4%
철구조물 45
 
1.9%
자동차 26
 
1.1%
부품 22
 
0.9%
가공 19
 
0.8%
알루미늄 17
 
0.7%
산업용 15
 
0.6%
14
 
0.6%
제조 12
 
0.5%
Other values (1427) 2088
87.2%
2024-01-10T07:37:23.878058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1241
 
11.0%
, 594
 
5.3%
307
 
2.7%
220
 
1.9%
200
 
1.8%
198
 
1.8%
178
 
1.6%
163
 
1.4%
156
 
1.4%
132
 
1.2%
Other values (561) 7900
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8591
76.1%
Space Separator 1241
 
11.0%
Other Punctuation 618
 
5.5%
Uppercase Letter 425
 
3.8%
Lowercase Letter 247
 
2.2%
Open Punctuation 67
 
0.6%
Close Punctuation 67
 
0.6%
Dash Punctuation 16
 
0.1%
Decimal Number 16
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
307
 
3.6%
220
 
2.6%
200
 
2.3%
198
 
2.3%
178
 
2.1%
163
 
1.9%
156
 
1.8%
132
 
1.5%
122
 
1.4%
121
 
1.4%
Other values (498) 6794
79.1%
Lowercase Letter
ValueCountFrequency (%)
e 35
14.2%
l 26
 
10.5%
t 18
 
7.3%
a 17
 
6.9%
o 16
 
6.5%
r 16
 
6.5%
i 14
 
5.7%
s 13
 
5.3%
p 11
 
4.5%
b 9
 
3.6%
Other values (14) 72
29.1%
Uppercase Letter
ValueCountFrequency (%)
P 48
 
11.3%
E 46
 
10.8%
C 37
 
8.7%
A 32
 
7.5%
R 26
 
6.1%
L 26
 
6.1%
H 25
 
5.9%
T 24
 
5.6%
B 19
 
4.5%
S 19
 
4.5%
Other values (12) 123
28.9%
Decimal Number
ValueCountFrequency (%)
1 7
43.8%
0 2
 
12.5%
4 2
 
12.5%
2 2
 
12.5%
7 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 594
96.1%
/ 15
 
2.4%
. 7
 
1.1%
% 1
 
0.2%
' 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8591
76.1%
Common 2026
 
17.9%
Latin 672
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
307
 
3.6%
220
 
2.6%
200
 
2.3%
198
 
2.3%
178
 
2.1%
163
 
1.9%
156
 
1.8%
132
 
1.5%
122
 
1.4%
121
 
1.4%
Other values (498) 6794
79.1%
Latin
ValueCountFrequency (%)
P 48
 
7.1%
E 46
 
6.8%
C 37
 
5.5%
e 35
 
5.2%
A 32
 
4.8%
l 26
 
3.9%
R 26
 
3.9%
L 26
 
3.9%
H 25
 
3.7%
T 24
 
3.6%
Other values (36) 347
51.6%
Common
ValueCountFrequency (%)
1241
61.3%
, 594
29.3%
( 67
 
3.3%
) 67
 
3.3%
- 16
 
0.8%
/ 15
 
0.7%
. 7
 
0.3%
1 7
 
0.3%
0 2
 
0.1%
4 2
 
0.1%
Other values (7) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8591
76.1%
ASCII 2698
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1241
46.0%
, 594
22.0%
( 67
 
2.5%
) 67
 
2.5%
P 48
 
1.8%
E 46
 
1.7%
C 37
 
1.4%
e 35
 
1.3%
A 32
 
1.2%
l 26
 
1.0%
Other values (53) 505
18.7%
Hangul
ValueCountFrequency (%)
307
 
3.6%
220
 
2.6%
200
 
2.3%
198
 
2.3%
178
 
2.1%
163
 
1.9%
156
 
1.8%
132
 
1.5%
122
 
1.4%
121
 
1.4%
Other values (498) 6794
79.1%
Distinct994
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-01-10T07:37:24.191449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length23.165812
Min length14

Characters and Unicode

Total characters27104
Distinct characters246
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

Unique862 ?
Unique (%)73.7%

Sample

1st row충청남도 당진시 신평면 원신당로 168
2nd row충청남도 당진시 정미면 정미로 856-27
3rd row충청남도 당진시 순성면 틀모시로 187
4th row충청남도 당진시 정미면 정미로 438
5th row충청남도 당진시 순성면 백석길 6
ValueCountFrequency (%)
충청남도 1170
19.3%
당진시 1169
19.2%
송악읍 298
 
4.9%
석문면 204
 
3.4%
합덕읍 146
 
2.4%
신평면 108
 
1.8%
송산면 96
 
1.6%
순성면 94
 
1.5%
통정리 89
 
1.5%
부곡공단4길 81
 
1.3%
Other values (1127) 2619
43.1%
2024-01-10T07:37:24.646789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4913
18.1%
1233
 
4.5%
1211
 
4.5%
1189
 
4.4%
1187
 
4.4%
1179
 
4.3%
1175
 
4.3%
1171
 
4.3%
1 887
 
3.3%
803
 
3.0%
Other values (236) 12156
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16859
62.2%
Space Separator 4913
 
18.1%
Decimal Number 4493
 
16.6%
Dash Punctuation 485
 
1.8%
Close Punctuation 152
 
0.6%
Open Punctuation 152
 
0.6%
Other Punctuation 46
 
0.2%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1233
 
7.3%
1211
 
7.2%
1189
 
7.1%
1187
 
7.0%
1179
 
7.0%
1175
 
7.0%
1171
 
6.9%
803
 
4.8%
678
 
4.0%
461
 
2.7%
Other values (219) 6572
39.0%
Decimal Number
ValueCountFrequency (%)
1 887
19.7%
2 617
13.7%
3 604
13.4%
4 429
9.5%
5 411
9.1%
6 379
8.4%
8 326
 
7.3%
7 314
 
7.0%
0 296
 
6.6%
9 230
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 44
95.7%
. 2
 
4.3%
Space Separator
ValueCountFrequency (%)
4913
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16859
62.2%
Common 10241
37.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1233
 
7.3%
1211
 
7.2%
1189
 
7.1%
1187
 
7.0%
1179
 
7.0%
1175
 
7.0%
1171
 
6.9%
803
 
4.8%
678
 
4.0%
461
 
2.7%
Other values (219) 6572
39.0%
Common
ValueCountFrequency (%)
4913
48.0%
1 887
 
8.7%
2 617
 
6.0%
3 604
 
5.9%
- 485
 
4.7%
4 429
 
4.2%
5 411
 
4.0%
6 379
 
3.7%
8 326
 
3.2%
7 314
 
3.1%
Other values (6) 876
 
8.6%
Latin
ValueCountFrequency (%)
A 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16859
62.2%
ASCII 10245
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4913
48.0%
1 887
 
8.7%
2 617
 
6.0%
3 604
 
5.9%
- 485
 
4.7%
4 429
 
4.2%
5 411
 
4.0%
6 379
 
3.7%
8 326
 
3.2%
7 314
 
3.1%
Other values (7) 880
 
8.6%
Hangul
ValueCountFrequency (%)
1233
 
7.3%
1211
 
7.2%
1189
 
7.1%
1187
 
7.0%
1179
 
7.0%
1175
 
7.0%
1171
 
6.9%
803
 
4.8%
678
 
4.0%
461
 
2.7%
Other values (219) 6572
39.0%

Interactions

2024-01-10T07:37:20.752594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-10T07:37:20.854935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:37:20.942943image/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.
2024-01-10T07:37:21.028314image/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

연번회사명전화번호팩스번호생산품공장대표주소
01(주)알비에스041-358-2010041-362-1005특수목적용 기계제작충청남도 당진시 신평면 원신당로 168
12주식회사 아산레미콘041-352-6781041-352-6780레미콘충청남도 당진시 정미면 정미로 856-27
23(유)제이씨테크041-355-8735041-355-8736철구조물충청남도 당진시 순성면 틀모시로 187
34(주)SIMPAC 당진공장041-360-0122041-360-0190가공철판, 합금철충청남도 당진시 정미면 정미로 438
45(주)강원엔티에스02-2624-097002-2624-0985산업용보일러, 플랜트 설비충청남도 당진시 순성면 백석길 6
56(주)건하041-357-7711041-357-7744구조용 강제충청남도 당진시 송악읍 송악로 414
67(주)경성플랜트041-357-3655041-357-3656철골조립구조재, 금속절삭가공기계충청남도 당진시 송악읍 월곡로 242
78(주)경수제철건설041-360-0751041-360-0729강구조물충청남도 당진시 신평면 신평길 313-27
89(주)경인041-354-2022041-354-2025음료용방청제,탈청제,냉각수처리제,중화방청제,보일러수처리제충청남도 당진시 순성면 매실로 431-11
910(주)경일엔텍041-358-2318041-358-2314산업기계제작충청남도 당진시 송악읍 순성로 822-53
연번회사명전화번호팩스번호생산품공장대표주소
11601159진일금속032-426-2730<NA>단조품충청남도 당진시 합덕읍 합덕산단4로 105
11611160케이엠텍(주)041-363-1522041-363-1523방범창충청남도 당진시 합덕읍 합덕산단4로 75
11621161케이티씨(주)041-362-9323<NA>크레인충청남도 당진시 합덕읍 합덕산단2로 68
11631162켑코솔라 주식회사02-1522-8869054-465-7480태양광 발전충청남도 당진시 합덕읍 합덕산단4로 105
11641163코리아스틸(주)041-363-5700041-363-4411스틸보빈충청남도 당진시 합덕읍 합덕산단4로 63
11651164태성몰드산업(주)041-363-9497041-363-9496자동차부품 BRKT류충청남도 당진시 합덕읍 합덕산단3로 29
11661165한국메탈주식회사041-363-1544041-363-1533기계제작, 철망충청남도 당진시 합덕읍 합덕산단4로 75
11671166한국약품(주)031-858-1523031-858-1523액상홍삼음료 등충청남도 당진시 합덕읍 합덕산단3로 123
11681167한국자산관리공사051-794-38440502-927-2842공장임대충청남도 당진시 합덕읍 합덕산단2로 86 외 1필지
11691168현대제철(주)041-680-0114041-680-1199슬라브, 열연강판, 후판 등충청남도 당진시 송악읍 북부산업로 1480 (송악읍)