Overview

Dataset statistics

Number of variables7
Number of observations476
Missing cells236
Missing cells (%)7.1%
Duplicate rows8
Duplicate rows (%)1.7%
Total size in memory26.2 KiB
Average record size in memory56.3 B

Variable types

Text5
Categorical2

Dataset

Description당진시 대기배출시설 설치현황(3,4,5종)에 관한 데이터입니다. 대기환경보전법에 따른 대기오염물질 배출시설 당진시 현황입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=339&beforeMenuCd=DOM_000000201001001000&publicdatapk=15083595

Alerts

Dataset has 8 (1.7%) duplicate rowsDuplicates
기타업종 is highly imbalanced (97.8%)Imbalance
전화번호 has 236 (49.6%) missing valuesMissing

Reproduction

Analysis started2024-01-09 20:22:51.259292
Analysis finished2024-01-09 20:22:51.928267
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct459
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T05:22:52.077480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.039916
Min length2

Characters and Unicode

Total characters3827
Distinct characters336
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique446 ?
Unique (%)93.7%

Sample

1st row(주)영화엔지니어링
2nd row(주)대성에스앤피
3rd row대경무역
4th row당진축산업협동조합
5th row대호목욕탕
ValueCountFrequency (%)
당진공장 12
 
2.2%
주식회사 11
 
2.1%
주)폴리피아 5
 
0.9%
당진지점 3
 
0.6%
당진군청 3
 
0.6%
미곡종합처리장 2
 
0.4%
미주엔비켐(주 2
 
0.4%
주)서연오토비전 2
 
0.4%
주)태화정공 2
 
0.4%
주)영진에스지 2
 
0.4%
Other values (480) 491
91.8%
2024-01-10T05:22:52.397949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
 
8.4%
( 298
 
7.8%
) 298
 
7.8%
98
 
2.6%
87
 
2.3%
79
 
2.1%
77
 
2.0%
76
 
2.0%
60
 
1.6%
58
 
1.5%
Other values (326) 2375
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3117
81.4%
Open Punctuation 299
 
7.8%
Close Punctuation 299
 
7.8%
Space Separator 60
 
1.6%
Other Symbol 29
 
0.8%
Uppercase Letter 15
 
0.4%
Decimal Number 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
321
 
10.3%
98
 
3.1%
87
 
2.8%
79
 
2.5%
77
 
2.5%
76
 
2.4%
58
 
1.9%
54
 
1.7%
54
 
1.7%
51
 
1.6%
Other values (307) 2162
69.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
T 2
13.3%
I 2
13.3%
N 2
13.3%
J 1
 
6.7%
M 1
 
6.7%
F 1
 
6.7%
G 1
 
6.7%
P 1
 
6.7%
R 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 3
37.5%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 298
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 298
99.7%
] 1
 
0.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Symbol
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3146
82.2%
Common 666
 
17.4%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
321
 
10.2%
98
 
3.1%
87
 
2.8%
79
 
2.5%
77
 
2.4%
76
 
2.4%
58
 
1.8%
54
 
1.7%
54
 
1.7%
51
 
1.6%
Other values (308) 2191
69.6%
Latin
ValueCountFrequency (%)
A 3
20.0%
T 2
13.3%
I 2
13.3%
N 2
13.3%
J 1
 
6.7%
M 1
 
6.7%
F 1
 
6.7%
G 1
 
6.7%
P 1
 
6.7%
R 1
 
6.7%
Common
ValueCountFrequency (%)
( 298
44.7%
) 298
44.7%
60
 
9.0%
2 4
 
0.6%
1 3
 
0.5%
3 1
 
0.2%
] 1
 
0.2%
[ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3117
81.4%
ASCII 681
 
17.8%
None 29
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
321
 
10.3%
98
 
3.1%
87
 
2.8%
79
 
2.5%
77
 
2.5%
76
 
2.4%
58
 
1.9%
54
 
1.7%
54
 
1.7%
51
 
1.6%
Other values (307) 2162
69.4%
ASCII
ValueCountFrequency (%)
( 298
43.8%
) 298
43.8%
60
 
8.8%
2 4
 
0.6%
A 3
 
0.4%
1 3
 
0.4%
T 2
 
0.3%
I 2
 
0.3%
N 2
 
0.3%
3 1
 
0.1%
Other values (8) 8
 
1.2%
None
ValueCountFrequency (%)
29
100.0%
Distinct407
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T05:22:52.687939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.844538
Min length1

Characters and Unicode

Total characters10398
Distinct characters164
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

Unique369 ?
Unique (%)77.5%

Sample

1st row충청남도 당진시 면천면 문봉리 898
2nd row
3rd row충청남도 당진시 면천면 문봉리 904
4th row충청남도 당진시 읍내동 106-5
5th row충청남도 당진시 읍내동 232-35
ValueCountFrequency (%)
충청남도 448
19.6%
당진시 447
19.6%
송악읍 87
 
3.8%
합덕읍 60
 
2.6%
신평면 52
 
2.3%
순성면 43
 
1.9%
석문면 38
 
1.7%
송산면 38
 
1.7%
면천면 31
 
1.4%
30
 
1.3%
Other values (533) 1012
44.3%
2024-01-10T05:22:53.057652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2312
22.2%
484
 
4.7%
467
 
4.5%
465
 
4.5%
458
 
4.4%
457
 
4.4%
449
 
4.3%
448
 
4.3%
413
 
4.0%
1 367
 
3.5%
Other values (154) 4078
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5952
57.2%
Space Separator 2312
 
22.2%
Decimal Number 1777
 
17.1%
Dash Punctuation 330
 
3.2%
Uppercase Letter 13
 
0.1%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
484
 
8.1%
467
 
7.8%
465
 
7.8%
458
 
7.7%
457
 
7.7%
449
 
7.5%
448
 
7.5%
413
 
6.9%
295
 
5.0%
161
 
2.7%
Other values (133) 1855
31.2%
Decimal Number
ValueCountFrequency (%)
1 367
20.7%
4 216
12.2%
2 208
11.7%
3 201
11.3%
5 166
9.3%
6 161
9.1%
8 123
 
6.9%
0 115
 
6.5%
9 112
 
6.3%
7 108
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
38.5%
B 2
 
15.4%
L 2
 
15.4%
P 1
 
7.7%
E 1
 
7.7%
T 1
 
7.7%
S 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5952
57.2%
Common 4433
42.6%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
484
 
8.1%
467
 
7.8%
465
 
7.8%
458
 
7.7%
457
 
7.7%
449
 
7.5%
448
 
7.5%
413
 
6.9%
295
 
5.0%
161
 
2.7%
Other values (133) 1855
31.2%
Common
ValueCountFrequency (%)
2312
52.2%
1 367
 
8.3%
- 330
 
7.4%
4 216
 
4.9%
2 208
 
4.7%
3 201
 
4.5%
5 166
 
3.7%
6 161
 
3.6%
8 123
 
2.8%
0 115
 
2.6%
Other values (4) 234
 
5.3%
Latin
ValueCountFrequency (%)
A 5
38.5%
B 2
 
15.4%
L 2
 
15.4%
P 1
 
7.7%
E 1
 
7.7%
T 1
 
7.7%
S 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5952
57.2%
ASCII 4446
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2312
52.0%
1 367
 
8.3%
- 330
 
7.4%
4 216
 
4.9%
2 208
 
4.7%
3 201
 
4.5%
5 166
 
3.7%
6 161
 
3.6%
8 123
 
2.8%
0 115
 
2.6%
Other values (11) 247
 
5.6%
Hangul
ValueCountFrequency (%)
484
 
8.1%
467
 
7.8%
465
 
7.8%
458
 
7.7%
457
 
7.7%
449
 
7.5%
448
 
7.5%
413
 
6.9%
295
 
5.0%
161
 
2.7%
Other values (133) 1855
31.2%
Distinct389
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T05:22:53.279119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length20.941176
Min length1

Characters and Unicode

Total characters9968
Distinct characters227
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

Unique348 ?
Unique (%)73.1%

Sample

1st row충청남도 당진시 면천면 산업단지길 40
2nd row충청남도 당진시 송산면 들기울길 5
3rd row충청남도 당진시 면천면 산업단지길 39
4th row충청남도 당진시 무수동7길 42 (읍내동)
5th row충청남도 당진시 당진중앙2로 122 (읍내동)
ValueCountFrequency (%)
충청남도 433
19.4%
당진시 431
19.3%
송악읍 92
 
4.1%
합덕읍 58
 
2.6%
신평면 53
 
2.4%
순성면 41
 
1.8%
송산면 37
 
1.7%
석문면 33
 
1.5%
부곡공단4길 28
 
1.3%
면천면 26
 
1.2%
Other values (548) 999
44.8%
2024-01-10T05:22:53.909116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1856
18.6%
470
 
4.7%
459
 
4.6%
449
 
4.5%
443
 
4.4%
440
 
4.4%
437
 
4.4%
433
 
4.3%
1 330
 
3.3%
291
 
2.9%
Other values (217) 4360
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6167
61.9%
Space Separator 1856
 
18.6%
Decimal Number 1615
 
16.2%
Dash Punctuation 175
 
1.8%
Close Punctuation 74
 
0.7%
Open Punctuation 74
 
0.7%
Uppercase Letter 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
470
 
7.6%
459
 
7.4%
449
 
7.3%
443
 
7.2%
440
 
7.1%
437
 
7.1%
433
 
7.0%
291
 
4.7%
290
 
4.7%
166
 
2.7%
Other values (195) 2289
37.1%
Decimal Number
ValueCountFrequency (%)
1 330
20.4%
2 230
14.2%
3 193
12.0%
7 149
9.2%
4 147
9.1%
5 140
8.7%
6 117
 
7.2%
8 115
 
7.1%
0 115
 
7.1%
9 79
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
T 1
25.0%
E 1
25.0%
A 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 73
98.6%
] 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 73
98.6%
[ 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
* 1
33.3%
Space Separator
ValueCountFrequency (%)
1856
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6167
61.9%
Common 3797
38.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
470
 
7.6%
459
 
7.4%
449
 
7.3%
443
 
7.2%
440
 
7.1%
437
 
7.1%
433
 
7.0%
291
 
4.7%
290
 
4.7%
166
 
2.7%
Other values (195) 2289
37.1%
Common
ValueCountFrequency (%)
1856
48.9%
1 330
 
8.7%
2 230
 
6.1%
3 193
 
5.1%
- 175
 
4.6%
7 149
 
3.9%
4 147
 
3.9%
5 140
 
3.7%
6 117
 
3.1%
8 115
 
3.0%
Other values (8) 345
 
9.1%
Latin
ValueCountFrequency (%)
S 1
25.0%
T 1
25.0%
E 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6167
61.9%
ASCII 3801
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1856
48.8%
1 330
 
8.7%
2 230
 
6.1%
3 193
 
5.1%
- 175
 
4.6%
7 149
 
3.9%
4 147
 
3.9%
5 140
 
3.7%
6 117
 
3.1%
8 115
 
3.0%
Other values (12) 349
 
9.2%
Hangul
ValueCountFrequency (%)
470
 
7.6%
459
 
7.4%
449
 
7.3%
443
 
7.2%
440
 
7.1%
437
 
7.1%
433
 
7.0%
291
 
4.7%
290
 
4.7%
166
 
2.7%
Other values (195) 2289
37.1%

전화번호
Text

MISSING 

Distinct232
Distinct (%)96.7%
Missing236
Missing (%)49.6%
Memory size3.8 KiB
2024-01-10T05:22:54.126031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.716667
Min length2

Characters and Unicode

Total characters2812
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)93.8%

Sample

1st row041 356 8981
2nd row'0413505537
3rd row'0413629028
4th row'0413628840
5th row'0413628797
ValueCountFrequency (%)
041 6
 
2.4%
0413639508 3
 
1.2%
0413573815 2
 
0.8%
0413550479 2
 
0.8%
070-7628-0229 2
 
0.8%
041-362-9323 2
 
0.8%
0413575101 2
 
0.8%
355 2
 
0.8%
041-363-3439 2
 
0.8%
0413589400 1
 
0.4%
Other values (230) 230
90.6%
2024-01-10T05:22:54.480386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 439
15.6%
3 362
12.9%
1 349
12.4%
4 299
10.6%
5 258
9.2%
' 239
8.5%
- 210
7.5%
2 173
 
6.2%
6 149
 
5.3%
7 126
 
4.5%
Other values (3) 208
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2348
83.5%
Other Punctuation 239
 
8.5%
Dash Punctuation 210
 
7.5%
Space Separator 15
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 439
18.7%
3 362
15.4%
1 349
14.9%
4 299
12.7%
5 258
11.0%
2 173
 
7.4%
6 149
 
6.3%
7 126
 
5.4%
8 109
 
4.6%
9 84
 
3.6%
Other Punctuation
ValueCountFrequency (%)
' 239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2812
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 439
15.6%
3 362
12.9%
1 349
12.4%
4 299
10.6%
5 258
9.2%
' 239
8.5%
- 210
7.5%
2 173
 
6.2%
6 149
 
5.3%
7 126
 
4.5%
Other values (3) 208
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 439
15.6%
3 362
12.9%
1 349
12.4%
4 299
10.6%
5 258
9.2%
' 239
8.5%
- 210
7.5%
2 173
 
6.2%
6 149
 
5.3%
7 126
 
4.5%
Other values (3) 208
7.4%
Distinct72
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T05:22:54.682729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length1
Mean length3.5336134
Min length1

Characters and Unicode

Total characters1682
Distinct characters156
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

Unique58 ?
Unique (%)12.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
제조업 64
 
18.0%
36
 
10.1%
기타 22
 
6.2%
폐기물 9
 
2.5%
자동차 8
 
2.3%
지정외 7
 
2.0%
처리업 7
 
2.0%
금속 7
 
2.0%
조립구조재 6
 
1.7%
그외 5
 
1.4%
Other values (132) 184
51.8%
2024-01-10T05:22:55.014635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
655
38.9%
97
 
5.8%
94
 
5.6%
85
 
5.1%
51
 
3.0%
37
 
2.2%
30
 
1.8%
25
 
1.5%
24
 
1.4%
23
 
1.4%
Other values (146) 561
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
60.9%
Space Separator 655
38.9%
Other Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
97
 
9.5%
94
 
9.2%
85
 
8.3%
51
 
5.0%
37
 
3.6%
30
 
2.9%
25
 
2.4%
24
 
2.3%
23
 
2.2%
21
 
2.1%
Other values (143) 537
52.4%
Space Separator
ValueCountFrequency (%)
655
100.0%
Other Punctuation
ValueCountFrequency (%)
; 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
60.9%
Common 658
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
97
 
9.5%
94
 
9.2%
85
 
8.3%
51
 
5.0%
37
 
3.6%
30
 
2.9%
25
 
2.4%
24
 
2.3%
23
 
2.2%
21
 
2.1%
Other values (143) 537
52.4%
Common
ValueCountFrequency (%)
655
99.5%
; 2
 
0.3%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
60.9%
ASCII 658
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
655
99.5%
; 2
 
0.3%
1 1
 
0.2%
Hangul
ValueCountFrequency (%)
97
 
9.5%
94
 
9.2%
85
 
8.3%
51
 
5.0%
37
 
3.6%
30
 
2.9%
25
 
2.4%
24
 
2.3%
23
 
2.2%
21
 
2.1%
Other values (143) 537
52.4%

기타업종
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
475 
아스콘제조업
 
1

Length

Max length6
Median length1
Mean length1.0105042
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
475
99.8%
아스콘제조업 1
 
0.2%

Length

2024-01-10T05:22:55.134317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:55.214585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아스콘제조업 1
100.0%


Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
5종
278 
4종
172 
3종
 
26

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4종
2nd row4종
3rd row4종
4th row3종
5th row5종

Common Values

ValueCountFrequency (%)
5종 278
58.4%
4종 172
36.1%
3종 26
 
5.5%

Length

2024-01-10T05:22:55.298947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:22:55.379896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 278
58.4%
4종 172
36.1%
3종 26
 
5.5%

Correlations

2024-01-10T05:22:55.437273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표업종기타업종
대표업종1.0000.0000.236
기타업종0.0001.0000.109
0.2360.1091.000
2024-01-10T05:22:55.512585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타업종
1.0000.180
기타업종0.1801.000
2024-01-10T05:22:55.585483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타업종
기타업종1.0000.180
0.1801.000

Missing values

2024-01-10T05:22:51.803555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:22:51.891815image/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

사업장명소재지도로명소재지전화번호대표업종기타업종
0(주)영화엔지니어링충청남도 당진시 면천면 문봉리 898충청남도 당진시 면천면 산업단지길 40<NA>4종
1(주)대성에스앤피충청남도 당진시 송산면 들기울길 5<NA>4종
2대경무역충청남도 당진시 면천면 문봉리 904충청남도 당진시 면천면 산업단지길 39041 356 89814종
3당진축산업협동조합충청남도 당진시 읍내동 106-5충청남도 당진시 무수동7길 42 (읍내동)'04135055373종
4대호목욕탕충청남도 당진시 읍내동 232-35충청남도 당진시 당진중앙2로 122 (읍내동)<NA>5종
5신원목욕탕충청남도 당진시 합덕읍 운산리 256-36충청남도 당진시 합덕읍 버그내1길 167-1<NA>5종
6청수장목욕탕충청남도 당진시 읍내동 543-18충청남도 당진군 당진읍 당진중앙2로 72-5<NA>5종
7(주)삼표산업 당진공장충청남도 당진시 신평면 도성리 산 130-1충청남도 당진시 신평면 신평길 225-206<NA>5종
8당진군청충청남도 당진시 읍내동 515충청남도 당진시 서문2길 4 (읍내동)<NA>5종
9농어촌진흥공사삽교천사업소충청남도 당진시 읍내동 306-8충청남도 당진시 무수동로 333 (읍내동)<NA>5종
사업장명소재지도로명소재지전화번호대표업종기타업종
466드림모터스충청남도 당진시 송악읍 가학리 507충청남도 당진시 송악읍 송악로 127-4<NA>5종
467(주)한내포티충청남도 당진시 석문면 통정리 1502충청남도 당진시 석문면 산단3로5길 22'041-430-8302지정외 폐기물 처리업4종
468모리린파이버코리아(주)충청남도 당진시 합덕읍 소소리 602충청남도 당진시 합덕읍 합덕산단1로 100<NA>합성섬유 제조업5종
469㈜제이엠디피충청남도 당진시 합덕읍 석우리 991-4충청남도 당진시 합덕읍 예덕로 21'070-4640-6555기타 기초 무기화합물 제조업5종
470에이치피에프미네럴스테크 유한회사충청남도 당진시 송산면 동곡리 381충청남도 당진시 송산면 가곡로 58'02-6490-9977그외 기타 분류안된 비금속 광물제품 제조업5종
471주식회사 케이피씨충청남도 당진시 고대면 옥현리 616-2충청남도 당진시 고대면 당미로 323'0413561331콘크리트관 및 기타 구조용 콘크리트제품 제조업5종
472중앙금속㈜ 청금리지점충청남도 당진시 송악읍 청금리 316-19충청남도 당진시 송악읍 순성로 822-37<NA>알루미늄 제련 정련 및 합금 제조업4종
473한일화학공업(주)충청남도 당진시 석문면 통정리 1515충청남도 당진시 석문면 산단3로6길 47<NA>지정외 폐기물 처리업3종
474당진시 가축분뇨공공처리시설충청남도 당진시 송산면 가곡리 499-3 당진시자원순환센터충청남도 당진시 송산면 석문방조제로 525 당진시자원순환센터'0413504340일반 공공 행정5종
475당진시농협쌀조합공동사업법인충청남도 당진시 우강면 성원리 243-5충청남도 당진시 우강면 평야2로 251-35'041-362-1274곡물 도정업4종

Duplicate rows

Most frequently occurring

사업장명소재지도로명소재지전화번호대표업종기타업종# duplicates
1(주)폴리피아충청남도 당진시 신평면 신흥리 42-11충청남도 당진시 신평면 원신당로 171'04136395085종3
0(주)서울경금속충청남도 당진시 순성면 봉소리 609-18충청남도 당진시 순성면 순성로 383-1<NA>3종2
2(주)폴리피아충청남도 당진시 신평면 신흥리 42-11충청남도 당진시 신평면 원신당로 171<NA>5종2
3당진군청충청남도 당진시 읍내동 515충청남도 당진시 서문2길 4 (읍내동)<NA>5종2
4면천농협 미곡종합처리장충청남도 당진시 면천면 문봉리 273-3충청남도 당진시 면천면 칠거리로 24-1<NA>4종2
5영진농산충청남도 당진시 원당동 774-3충청남도 당진시 원당로 85 (원당동)<NA>5종2
6태종면업충청남도 당진시 합덕읍 석우리 640-1 외1필지충청남도 당진시 합덕읍 석우길 101<NA>5종2
7현대케이블(주)충청남도 당진시 송산면 가곡리 41-2충청남도 당진시 송산면 송산로 1248<NA>5종2