Overview

Dataset statistics

Number of variables13
Number of observations1480
Missing cells67
Missing cells (%)0.3%
Duplicate rows5
Duplicate rows (%)0.3%
Total size in memory151.9 KiB
Average record size in memory105.1 B

Variable types

Text7
Categorical4
DateTime1
Numeric1

Dataset

Description- 2023.12.06.자 도로점용(굴착) 현황 파일로 포항시의 현재 도로굴착 허가 내역을 정리하였음.- 공공데이터의 제공 및 이용 활성화에 관한 법률에 따라 공공데이트를 공개하고자 함.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15107965/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 5 (0.3%) duplicate rowsDuplicates
연장 is highly overall correlated with 폭High correlation
등록구명 is highly overall correlated with 작성일 and 1 other fieldsHigh correlation
작성일 is highly overall correlated with 등록구명High correlation
폭 is highly overall correlated with 연장 and 1 other fieldsHigh correlation
작성일 is highly imbalanced (65.3%)Imbalance
폭 is highly imbalanced (68.5%)Imbalance
연장 has 50 (3.4%) missing valuesMissing
연장 has 241 (16.3%) zerosZeros

Reproduction

Analysis started2024-04-20 23:26:26.349290
Analysis finished2024-04-20 23:26:28.810733
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

Distinct326
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-21T08:26:29.832296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length7.8317568
Min length7

Characters and Unicode

Total characters11591
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)9.8%

Sample

1st row2018_11, 2019_13
2nd row2018_11, 2019_13
3rd row2018_11, 2019_13
4th row2018_11, 2019_13
5th row2018_11, 2019_13
ValueCountFrequency (%)
2021-123 54
 
3.6%
2021-091 50
 
3.4%
2021-119 38
 
2.6%
2022-070 34
 
2.3%
2021-040 30
 
2.0%
2021-015 24
 
1.6%
2021_60 24
 
1.6%
2021-15 24
 
1.6%
2021_04 24
 
1.6%
2021_27 23
 
1.5%
Other values (317) 1161
78.1%
2024-04-21T08:26:31.467309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3718
32.1%
0 2832
24.4%
1 1420
 
12.3%
- 1192
 
10.3%
3 482
 
4.2%
6 317
 
2.7%
5 298
 
2.6%
_ 294
 
2.5%
7 280
 
2.4%
4 273
 
2.4%
Other values (5) 485
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10092
87.1%
Dash Punctuation 1192
 
10.3%
Connector Punctuation 294
 
2.5%
Other Punctuation 7
 
0.1%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3718
36.8%
0 2832
28.1%
1 1420
 
14.1%
3 482
 
4.8%
6 317
 
3.1%
5 298
 
3.0%
7 280
 
2.8%
4 273
 
2.7%
9 251
 
2.5%
8 221
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 1192
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 294
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3718
32.1%
0 2832
24.4%
1 1420
 
12.3%
- 1192
 
10.3%
3 482
 
4.2%
6 317
 
2.7%
5 298
 
2.6%
_ 294
 
2.5%
7 280
 
2.4%
4 273
 
2.4%
Other values (5) 485
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3718
32.1%
0 2832
24.4%
1 1420
 
12.3%
- 1192
 
10.3%
3 482
 
4.2%
6 317
 
2.7%
5 298
 
2.6%
_ 294
 
2.5%
7 280
 
2.4%
4 273
 
2.4%
Other values (5) 485
 
4.2%

등록구명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
포항시북구
936 
포항시 북구
347 
포항시 남구
197 

Length

Max length6
Median length5
Mean length5.3675676
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포항시 남구
2nd row포항시 남구
3rd row포항시 남구
4th row포항시 남구
5th row포항시 남구

Common Values

ValueCountFrequency (%)
포항시북구 936
63.2%
포항시 북구 347
 
23.4%
포항시 남구 197
 
13.3%

Length

2024-04-21T08:26:31.877992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:26:32.200478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포항시북구 936
46.2%
포항시 544
26.9%
북구 347
 
17.1%
남구 197
 
9.7%

공사명
Text

Distinct407
Distinct (%)27.6%
Missing6
Missing (%)0.4%
Memory size11.7 KiB
2024-04-21T08:26:33.192507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length18.222524
Min length5

Characters and Unicode

Total characters26860
Distinct characters313
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

Unique313 ?
Unique (%)21.2%

Sample

1st row포항블루밸리 국가산업단지 용수공급사업
2nd row포항블루밸리 국가산업단지 용수공급사업
3rd row포항블루밸리 국가산업단지 용수공급사업
4th row포항블루밸리 국가산업단지 용수공급사업
5th row포항블루밸리 국가산업단지 용수공급사업
ValueCountFrequency (%)
매설공사 548
 
10.3%
도시가스배관 482
 
9.0%
외 189
 
3.5%
노후하수관로 165
 
3.1%
인입관 104
 
1.9%
및 98
 
1.8%
정비공사 97
 
1.8%
흥해읍 88
 
1.6%
lpg배관매설공사 84
 
1.6%
하수관로 82
 
1.5%
Other values (570) 3409
63.8%
2024-04-21T08:26:34.702135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4955
 
18.4%
사 1460
 
5.4%
관 1415
 
5.3%
공 1256
 
4.7%
설 923
 
3.4%
매 778
 
2.9%
시 756
 
2.8%
스 754
 
2.8%
도 719
 
2.7%
가 693
 
2.6%
Other values (303) 13151
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19829
73.8%
Space Separator 4955
 
18.4%
Decimal Number 1309
 
4.9%
Uppercase Letter 455
 
1.7%
Dash Punctuation 176
 
0.7%
Other Punctuation 42
 
0.2%
Math Symbol 40
 
0.1%
Close Punctuation 25
 
0.1%
Open Punctuation 23
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1460
 
7.4%
관 1415
 
7.1%
공 1256
 
6.3%
설 923
 
4.7%
매 778
 
3.9%
시 756
 
3.8%
스 754
 
3.8%
도 719
 
3.6%
가 693
 
3.5%
배 688
 
3.5%
Other values (267) 10387
52.4%
Uppercase Letter
ValueCountFrequency (%)
L 139
30.5%
G 129
28.4%
P 126
27.7%
O 14
 
3.1%
K 10
 
2.2%
T 10
 
2.2%
W 6
 
1.3%
Y 6
 
1.3%
B 6
 
1.3%
E 4
 
0.9%
Other values (5) 5
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 320
24.4%
2 206
15.7%
3 151
11.5%
5 145
11.1%
4 110
 
8.4%
9 103
 
7.9%
8 87
 
6.6%
0 77
 
5.9%
6 60
 
4.6%
7 50
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
w 2
33.3%
k 2
33.3%
p 1
16.7%
c 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 24
96.0%
] 1
 
4.0%
Space Separator
ValueCountFrequency (%)
4955
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19829
73.8%
Common 6570
 
24.5%
Latin 461
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1460
 
7.4%
관 1415
 
7.1%
공 1256
 
6.3%
설 923
 
4.7%
매 778
 
3.9%
시 756
 
3.8%
스 754
 
3.8%
도 719
 
3.6%
가 693
 
3.5%
배 688
 
3.5%
Other values (267) 10387
52.4%
Latin
ValueCountFrequency (%)
L 139
30.2%
G 129
28.0%
P 126
27.3%
O 14
 
3.0%
K 10
 
2.2%
T 10
 
2.2%
W 6
 
1.3%
Y 6
 
1.3%
B 6
 
1.3%
E 4
 
0.9%
Other values (9) 11
 
2.4%
Common
ValueCountFrequency (%)
4955
75.4%
1 320
 
4.9%
2 206
 
3.1%
- 176
 
2.7%
3 151
 
2.3%
5 145
 
2.2%
4 110
 
1.7%
9 103
 
1.6%
8 87
 
1.3%
0 77
 
1.2%
Other values (7) 240
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19829
73.8%
ASCII 7031
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4955
70.5%
1 320
 
4.6%
2 206
 
2.9%
- 176
 
2.5%
3 151
 
2.1%
5 145
 
2.1%
L 139
 
2.0%
G 129
 
1.8%
P 126
 
1.8%
4 110
 
1.6%
Other values (26) 574
 
8.2%
Hangul
ValueCountFrequency (%)
사 1460
 
7.4%
관 1415
 
7.1%
공 1256
 
6.3%
설 923
 
4.7%
매 778
 
3.9%
시 756
 
3.8%
스 754
 
3.8%
도 719
 
3.6%
가 693
 
3.5%
배 688
 
3.5%
Other values (267) 10387
52.4%

공사위치
Text

Distinct1333
Distinct (%)90.3%
Missing3
Missing (%)0.2%
Memory size11.7 KiB
2024-04-21T08:26:35.683735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length39
Mean length15.655383
Min length3

Characters and Unicode

Total characters23123
Distinct characters295
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

Unique1221 ?
Unique (%)82.7%

Sample

1st row약전리 362-1
2nd row약전리 322-2
3rd row석리 215-1
4th row석리 201-4
5th row석리 141-1
ValueCountFrequency (%)
흥해읍 375
 
7.8%
장성동 201
 
4.2%
147
 
3.1%
죽도동 112
 
2.3%
양덕동 96
 
2.0%
일원 77
 
1.6%
앞 66
 
1.4%
초곡리 66
 
1.4%
두호동 66
 
1.4%
용흥동 61
 
1.3%
Other values (1917) 3551
73.7%
2024-04-21T08:26:37.130564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3375
 
14.6%
1 1867
 
8.1%
- 1323
 
5.7%
동 1114
 
4.8%
2 1004
 
4.3%
3 841
 
3.6%
5 707
 
3.1%
4 703
 
3.0%
6 675
 
2.9%
7 588
 
2.5%
Other values (285) 10926
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9398
40.6%
Decimal Number 7909
34.2%
Space Separator 3377
 
14.6%
Dash Punctuation 1323
 
5.7%
Open Punctuation 453
 
2.0%
Close Punctuation 452
 
2.0%
Math Symbol 179
 
0.8%
Uppercase Letter 25
 
0.1%
Other Punctuation 5
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1114
 
11.9%
흥 546
 
5.8%
리 539
 
5.7%
해 429
 
4.6%
읍 406
 
4.3%
로 390
 
4.1%
성 356
 
3.8%
길 310
 
3.3%
장 286
 
3.0%
번 279
 
3.0%
Other values (250) 4743
50.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
12.0%
U 3
12.0%
E 3
12.0%
S 3
12.0%
B 2
8.0%
T 2
8.0%
P 2
8.0%
G 2
8.0%
K 1
 
4.0%
F 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
1 1867
23.6%
2 1004
12.7%
3 841
10.6%
5 707
 
8.9%
4 703
 
8.9%
6 675
 
8.5%
7 588
 
7.4%
9 543
 
6.9%
0 492
 
6.2%
8 489
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
, 1
20.0%
. 1
20.0%
/ 1
20.0%
Space Separator
ValueCountFrequency (%)
3375
99.9%
　 2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1323
100.0%
Open Punctuation
ValueCountFrequency (%)
( 453
100.0%
Close Punctuation
ValueCountFrequency (%)
) 452
100.0%
Math Symbol
ValueCountFrequency (%)
~ 179
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13699
59.2%
Hangul 9399
40.6%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1114
 
11.9%
흥 546
 
5.8%
리 539
 
5.7%
해 429
 
4.6%
읍 406
 
4.3%
로 390
 
4.1%
성 356
 
3.8%
길 310
 
3.3%
장 286
 
3.0%
번 279
 
3.0%
Other values (251) 4744
50.5%
Common
ValueCountFrequency (%)
3375
24.6%
1 1867
13.6%
- 1323
 
9.7%
2 1004
 
7.3%
3 841
 
6.1%
5 707
 
5.2%
4 703
 
5.1%
6 675
 
4.9%
7 588
 
4.3%
9 543
 
4.0%
Other values (11) 2073
15.1%
Latin
ValueCountFrequency (%)
C 3
12.0%
U 3
12.0%
E 3
12.0%
S 3
12.0%
B 2
8.0%
T 2
8.0%
P 2
8.0%
G 2
8.0%
K 1
 
4.0%
F 1
 
4.0%
Other values (3) 3
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13722
59.3%
Hangul 9398
40.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3375
24.6%
1 1867
13.6%
- 1323
 
9.6%
2 1004
 
7.3%
3 841
 
6.1%
5 707
 
5.2%
4 703
 
5.1%
6 675
 
4.9%
7 588
 
4.3%
9 543
 
4.0%
Other values (23) 2096
15.3%
Hangul
ValueCountFrequency (%)
동 1114
 
11.9%
흥 546
 
5.8%
리 539
 
5.7%
해 429
 
4.6%
읍 406
 
4.3%
로 390
 
4.1%
성 356
 
3.8%
길 310
 
3.3%
장 286
 
3.0%
번 279
 
3.0%
Other values (250) 4743
50.5%
None
ValueCountFrequency (%)
　 2
66.7%
㈜ 1
33.3%

공사기간
Text

Distinct369
Distinct (%)25.0%
Missing5
Missing (%)0.3%
Memory size11.7 KiB
2024-04-21T08:26:38.075735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length20.76339
Min length9

Characters and Unicode

Total characters30626
Distinct characters34
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)15.5%

Sample

1st row2018-02~2021-10-19
2nd row2018-02~2021-10-19
3rd row2018-02~2021-10-19
4th row2018-02~2021-10-19
5th row2018-02~2021-10-19
ValueCountFrequency (%)
착공일로부터 743
20.3%
489
 
13.4%
각 299
 
8.2%
3일 124
 
3.4%
2021-12 107
 
2.9%
2021-10 76
 
2.1%
2일 70
 
1.9%
2022-01 54
 
1.5%
2022-03 54
 
1.5%
2021-11 46
 
1.3%
Other values (372) 1599
43.7%
2024-04-21T08:26:39.488782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6063
19.8%
0 4878
15.9%
- 3662
12.0%
1 2930
9.6%
2207
 
7.2%
일 1454
 
4.7%
~ 1227
 
4.0%
3 1047
 
3.4%
공 752
 
2.5%
로 752
 
2.5%
Other values (24) 5654
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17137
56.0%
Other Letter 5730
 
18.7%
Dash Punctuation 3662
 
12.0%
Space Separator 2207
 
7.2%
Math Symbol 1227
 
4.0%
Open Punctuation 331
 
1.1%
Close Punctuation 331
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1454
25.4%
공 752
13.1%
로 752
13.1%
부 752
13.1%
터 752
13.1%
착 744
13.0%
각 299
 
5.2%
간 88
 
1.5%
개 58
 
1.0%
월 58
 
1.0%
Other values (8) 21
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 6063
35.4%
0 4878
28.5%
1 2930
17.1%
3 1047
 
6.1%
6 456
 
2.7%
7 446
 
2.6%
4 397
 
2.3%
8 329
 
1.9%
9 323
 
1.9%
5 268
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 3662
100.0%
Space Separator
ValueCountFrequency (%)
2207
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24896
81.3%
Hangul 5730
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1454
25.4%
공 752
13.1%
로 752
13.1%
부 752
13.1%
터 752
13.1%
착 744
13.0%
각 299
 
5.2%
간 88
 
1.5%
개 58
 
1.0%
월 58
 
1.0%
Other values (8) 21
 
0.4%
Common
ValueCountFrequency (%)
2 6063
24.4%
0 4878
19.6%
- 3662
14.7%
1 2930
11.8%
2207
 
8.9%
~ 1227
 
4.9%
3 1047
 
4.2%
6 456
 
1.8%
7 446
 
1.8%
4 397
 
1.6%
Other values (6) 1583
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24896
81.3%
Hangul 5730
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6063
24.4%
0 4878
19.6%
- 3662
14.7%
1 2930
11.8%
2207
 
8.9%
~ 1227
 
4.9%
3 1047
 
4.2%
6 456
 
1.8%
7 446
 
1.8%
4 397
 
1.6%
Other values (6) 1583
 
6.4%
Hangul
ValueCountFrequency (%)
일 1454
25.4%
공 752
13.1%
로 752
13.1%
부 752
13.1%
터 752
13.1%
착 744
13.0%
각 299
 
5.2%
간 88
 
1.5%
개 58
 
1.0%
월 58
 
1.0%
Other values (8) 21
 
0.4%

점용신청기관(업체)
Text

Distinct106
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-21T08:26:40.231225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length9.6297297
Min length3

Characters and Unicode

Total characters14252
Distinct characters184
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)4.1%

Sample

1st row한국수자원공사 포항지사
2nd row한국수자원공사 포항지사
3rd row한국수자원공사 포항지사
4th row한국수자원공사 포항지사
5th row한국수자원공사 포항지사
ValueCountFrequency (%)
영남에너지서비스㈜ 534
29.1%
하수도과 217
11.8%
영남에너지서비스(주 187
 
10.2%
맑은물사업본부 178
 
9.7%
포항시 125
 
6.8%
일자리경제노동과 122
 
6.7%
상수도과 110
 
6.0%
맑은물사업본부장(상수도과 44
 
2.4%
국가철도공단동해북부사업단 38
 
2.1%
맑은물사업본부장(하수도과 25
 
1.4%
Other values (103) 254
13.8%
2024-04-21T08:26:41.413738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 766
 
5.4%
스 739
 
5.2%
에 734
 
5.2%
너 731
 
5.1%
영 730
 
5.1%
비 723
 
5.1%
남 722
 
5.1%
서 722
 
5.1%
㈜ 602
 
4.2%
과 583
 
4.1%
Other values (174) 7200
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12665
88.9%
Other Symbol 602
 
4.2%
Space Separator 354
 
2.5%
Close Punctuation 286
 
2.0%
Open Punctuation 286
 
2.0%
Uppercase Letter 45
 
0.3%
Lowercase Letter 10
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 766
 
6.0%
스 739
 
5.8%
에 734
 
5.8%
너 731
 
5.8%
영 730
 
5.8%
비 723
 
5.7%
남 722
 
5.7%
서 722
 
5.7%
과 583
 
4.6%
도 475
 
3.8%
Other values (155) 5740
45.3%
Uppercase Letter
ValueCountFrequency (%)
L 12
26.7%
G 12
26.7%
K 8
17.8%
S 8
17.8%
I 2
 
4.4%
H 1
 
2.2%
C 1
 
2.2%
N 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
r 2
20.0%
f 2
20.0%
n 2
20.0%
s 1
10.0%
k 1
10.0%
Other Symbol
ValueCountFrequency (%)
㈜ 602
100.0%
Space Separator
ValueCountFrequency (%)
354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Math Symbol
ValueCountFrequency (%)
→ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13267
93.1%
Common 930
 
6.5%
Latin 55
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 766
 
5.8%
스 739
 
5.6%
에 734
 
5.5%
너 731
 
5.5%
영 730
 
5.5%
비 723
 
5.4%
남 722
 
5.4%
서 722
 
5.4%
㈜ 602
 
4.5%
과 583
 
4.4%
Other values (156) 6215
46.8%
Latin
ValueCountFrequency (%)
L 12
21.8%
G 12
21.8%
K 8
14.5%
S 8
14.5%
a 2
 
3.6%
r 2
 
3.6%
f 2
 
3.6%
n 2
 
3.6%
I 2
 
3.6%
H 1
 
1.8%
Other values (4) 4
 
7.3%
Common
ValueCountFrequency (%)
354
38.1%
) 286
30.8%
( 286
30.8%
→ 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12665
88.9%
ASCII 981
 
6.9%
None 602
 
4.2%
Arrows 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 766
 
6.0%
스 739
 
5.8%
에 734
 
5.8%
너 731
 
5.8%
영 730
 
5.8%
비 723
 
5.7%
남 722
 
5.7%
서 722
 
5.7%
과 583
 
4.6%
도 475
 
3.8%
Other values (155) 5740
45.3%
None
ValueCountFrequency (%)
㈜ 602
100.0%
ASCII
ValueCountFrequency (%)
354
36.1%
) 286
29.2%
( 286
29.2%
L 12
 
1.2%
G 12
 
1.2%
K 8
 
0.8%
S 8
 
0.8%
a 2
 
0.2%
r 2
 
0.2%
f 2
 
0.2%
Other values (7) 9
 
0.9%
Arrows
ValueCountFrequency (%)
→ 4
100.0%

작성일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023.11.29.
1100 
2021-07-09
254 
2023.11.30.
 
26
2023.11.31.
 
22
2023.11.32.
 
20
Other values (9)
 
58

Length

Max length11
Median length11
Mean length10.828378
Min length10

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row2021-07-09
2nd row2021-07-09
3rd row2021-07-09
4th row2021-07-09
5th row2021-07-09

Common Values

ValueCountFrequency (%)
2023.11.29. 1100
74.3%
2021-07-09 254
 
17.2%
2023.11.30. 26
 
1.8%
2023.11.31. 22
 
1.5%
2023.11.32. 20
 
1.4%
2023.11.33. 15
 
1.0%
2023.11.34. 13
 
0.9%
2023.11.35. 10
 
0.7%
2023.11.36. 8
 
0.5%
2023.11.37. 5
 
0.3%
Other values (4) 7
 
0.5%

Length

2024-04-21T08:26:41.824531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023.11.29 1100
74.3%
2021-07-09 254
 
17.2%
2023.11.30 26
 
1.8%
2023.11.31 22
 
1.5%
2023.11.32 20
 
1.4%
2023.11.33 15
 
1.0%
2023.11.34 13
 
0.9%
2023.11.35 10
 
0.7%
2023.11.36 8
 
0.5%
2023.11.37 5
 
0.3%
Other values (4) 7
 
0.5%

허가일
Date

Distinct330
Distinct (%)22.3%
Missing3
Missing (%)0.2%
Memory size11.7 KiB
Minimum2021-01-18 00:00:00
Maximum2023-11-24 00:00:00
2024-04-21T08:26:42.200563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:26:42.611067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사목적
Text

Distinct132
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-21T08:26:43.515965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.9141892
Min length3

Characters and Unicode

Total characters11713
Distinct characters140
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

Unique47 ?
Unique (%)3.2%

Sample

1st row용수관매설
2nd row용수관매설
3rd row용수관매설
4th row용수관매설
5th row용수관매설
ValueCountFrequency (%)
매설 539
19.2%
도시가스배관매설 221
 
7.9%
가스관 219
 
7.8%
교체 174
 
6.2%
lpg배관 111
 
3.9%
오수관로 90
 
3.2%
설치 86
 
3.1%
노후하수관로 75
 
2.7%
가스관매설 70
 
2.5%
하수관로 69
 
2.5%
Other values (145) 1158
41.2%
2024-04-21T08:26:44.886866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1340
 
11.4%
관 1240
 
10.6%
설 1069
 
9.1%
매 924
 
7.9%
스 583
 
5.0%
수 576
 
4.9%
가 562
 
4.8%
로 541
 
4.6%
배 370
 
3.2%
시 259
 
2.2%
Other values (130) 4249
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9794
83.6%
Space Separator 1340
 
11.4%
Uppercase Letter 404
 
3.4%
Other Punctuation 82
 
0.7%
Open Punctuation 34
 
0.3%
Close Punctuation 34
 
0.3%
Decimal Number 20
 
0.2%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1240
 
12.7%
설 1069
 
10.9%
매 924
 
9.4%
스 583
 
6.0%
수 576
 
5.9%
가 562
 
5.7%
로 541
 
5.5%
배 370
 
3.8%
시 259
 
2.6%
도 246
 
2.5%
Other values (111) 3424
35.0%
Uppercase Letter
ValueCountFrequency (%)
L 133
32.9%
P 129
31.9%
G 128
31.7%
D 8
 
2.0%
B 2
 
0.5%
O 1
 
0.2%
X 1
 
0.2%
C 1
 
0.2%
V 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 76
92.7%
· 4
 
4.9%
. 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 10
50.0%
5 6
30.0%
1 4
 
20.0%
Space Separator
ValueCountFrequency (%)
1340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9794
83.6%
Common 1510
 
12.9%
Latin 409
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1240
 
12.7%
설 1069
 
10.9%
매 924
 
9.4%
스 583
 
6.0%
수 576
 
5.9%
가 562
 
5.7%
로 541
 
5.5%
배 370
 
3.8%
시 259
 
2.6%
도 246
 
2.5%
Other values (111) 3424
35.0%
Latin
ValueCountFrequency (%)
L 133
32.5%
P 129
31.5%
G 128
31.3%
D 8
 
2.0%
u 5
 
1.2%
B 2
 
0.5%
O 1
 
0.2%
X 1
 
0.2%
C 1
 
0.2%
V 1
 
0.2%
Common
ValueCountFrequency (%)
1340
88.7%
, 76
 
5.0%
( 34
 
2.3%
) 34
 
2.3%
0 10
 
0.7%
5 6
 
0.4%
· 4
 
0.3%
1 4
 
0.3%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9794
83.6%
ASCII 1915
 
16.3%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1340
70.0%
L 133
 
6.9%
P 129
 
6.7%
G 128
 
6.7%
, 76
 
4.0%
( 34
 
1.8%
) 34
 
1.8%
0 10
 
0.5%
D 8
 
0.4%
5 6
 
0.3%
Other values (8) 17
 
0.9%
Hangul
ValueCountFrequency (%)
관 1240
 
12.7%
설 1069
 
10.9%
매 924
 
9.4%
스 583
 
6.0%
수 576
 
5.9%
가 562
 
5.7%
로 541
 
5.5%
배 370
 
3.8%
시 259
 
2.6%
도 246
 
2.5%
Other values (111) 3424
35.0%
None
ValueCountFrequency (%)
· 4
100.0%

공작물구조
Text

Distinct211
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-21T08:26:45.642650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length6.1608108
Min length2

Characters and Unicode

Total characters9118
Distinct characters135
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

Unique123 ?
Unique (%)8.3%

Sample

1st row용수관(D700)
2nd row용수관(D700)
3rd row용수관(D700)
4th row용수관(D700)
5th row용수관(D700)
ValueCountFrequency (%)
가스관 309
 
15.9%
도시가스배관 176
 
9.0%
lpg배관 111
 
5.7%
교체 93
 
4.8%
오수관 90
 
4.6%
오수관로 77
 
4.0%
밸브 59
 
3.0%
상수관로 59
 
3.0%
노후하수관로 51
 
2.6%
유량계실 49
 
2.5%
Other values (203) 872
44.8%
2024-04-21T08:26:46.726258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 1263
 
13.9%
908
 
10.0%
스 613
 
6.7%
가 609
 
6.7%
수 539
 
5.9%
로 400
 
4.4%
배 328
 
3.6%
오 263
 
2.9%
0 259
 
2.8%
( 219
 
2.4%
Other values (125) 3717
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6520
71.5%
Space Separator 908
 
10.0%
Decimal Number 609
 
6.7%
Uppercase Letter 568
 
6.2%
Open Punctuation 219
 
2.4%
Close Punctuation 219
 
2.4%
Other Punctuation 45
 
0.5%
Math Symbol 25
 
0.3%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 1263
19.4%
스 613
 
9.4%
가 609
 
9.3%
수 539
 
8.3%
로 400
 
6.1%
배 328
 
5.0%
오 263
 
4.0%
도 211
 
3.2%
시 205
 
3.1%
설 110
 
1.7%
Other values (97) 1979
30.4%
Decimal Number
ValueCountFrequency (%)
0 259
42.5%
5 115
18.9%
1 55
 
9.0%
2 50
 
8.2%
7 26
 
4.3%
4 25
 
4.1%
3 22
 
3.6%
8 19
 
3.1%
9 19
 
3.1%
6 19
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
D 203
35.7%
L 120
21.1%
P 115
20.2%
G 114
20.1%
B 5
 
0.9%
V 4
 
0.7%
X 3
 
0.5%
U 2
 
0.4%
C 1
 
0.2%
O 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 35
77.8%
. 6
 
13.3%
· 4
 
8.9%
Space Separator
ValueCountFrequency (%)
908
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6520
71.5%
Common 2025
 
22.2%
Latin 573
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 1263
19.4%
스 613
 
9.4%
가 609
 
9.3%
수 539
 
8.3%
로 400
 
6.1%
배 328
 
5.0%
오 263
 
4.0%
도 211
 
3.2%
시 205
 
3.1%
설 110
 
1.7%
Other values (97) 1979
30.4%
Common
ValueCountFrequency (%)
908
44.8%
0 259
 
12.8%
( 219
 
10.8%
) 219
 
10.8%
5 115
 
5.7%
1 55
 
2.7%
2 50
 
2.5%
, 35
 
1.7%
7 26
 
1.3%
~ 25
 
1.2%
Other values (7) 114
 
5.6%
Latin
ValueCountFrequency (%)
D 203
35.4%
L 120
20.9%
P 115
20.1%
G 114
19.9%
u 5
 
0.9%
B 5
 
0.9%
V 4
 
0.7%
X 3
 
0.5%
U 2
 
0.3%
C 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6520
71.5%
ASCII 2594
 
28.4%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 1263
19.4%
스 613
 
9.4%
가 609
 
9.3%
수 539
 
8.3%
로 400
 
6.1%
배 328
 
5.0%
오 263
 
4.0%
도 211
 
3.2%
시 205
 
3.1%
설 110
 
1.7%
Other values (97) 1979
30.4%
ASCII
ValueCountFrequency (%)
908
35.0%
0 259
 
10.0%
( 219
 
8.4%
) 219
 
8.4%
D 203
 
7.8%
L 120
 
4.6%
P 115
 
4.4%
5 115
 
4.4%
G 114
 
4.4%
1 55
 
2.1%
Other values (17) 267
 
10.3%
None
ValueCountFrequency (%)
· 4
100.0%

연장
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct448
Distinct (%)31.3%
Missing50
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean146.11526
Minimum0
Maximum12283
Zeros241
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T08:26:47.133554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q339
95-th percentile589.7
Maximum12283
Range12283
Interquartile range (IQR)37

Descriptive statistics

Standard deviation726.02411
Coefficient of variation (CV)4.9688453
Kurtosis121.53324
Mean146.11526
Median Absolute Deviation (MAD)6
Skewness10.189605
Sum208944.82
Variance527111.02
MonotonicityNot monotonic
2024-04-21T08:26:47.580960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 241
 
16.3%
3.0 85
 
5.7%
2.0 82
 
5.5%
5.0 80
 
5.4%
4.0 66
 
4.5%
1.0 61
 
4.1%
6.0 44
 
3.0%
7.0 35
 
2.4%
9.0 31
 
2.1%
8.0 27
 
1.8%
Other values (438) 678
45.8%
(Missing) 50
 
3.4%
ValueCountFrequency (%)
0.0 241
16.3%
0.79 1
 
0.1%
1.0 61
 
4.1%
1.01 1
 
0.1%
1.2 1
 
0.1%
1.39 1
 
0.1%
1.5 1
 
0.1%
1.51 1
 
0.1%
1.64 1
 
0.1%
1.85 1
 
0.1%
ValueCountFrequency (%)
12283.0 1
 
0.1%
8069.0 6
0.4%
6463.4 1
 
0.1%
5470.8 1
 
0.1%
5373.0 1
 
0.1%
4746.5 1
 
0.1%
3132.0 1
 
0.1%
2699.0 1
 
0.1%
2540.1 1
 
0.1%
2430.0 1
 
0.1%

폭
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct48
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
1
1082 
0
160 
<NA>
 
54
1.5
 
35
3
 
30
Other values (43)
119 

Length

Max length7
Median length1
Mean length1.3810811
Min length1

Unique

Unique28 ?
Unique (%)1.9%

Sample

1st row3.5
2nd row3.5
3rd row3.5
4th row3.5
5th row3.5

Common Values

ValueCountFrequency (%)
1 1082
73.1%
0 160
 
10.8%
<NA> 54
 
3.6%
1.5 35
 
2.4%
3 30
 
2.0%
1.4 17
 
1.1%
1.2 13
 
0.9%
1.7 10
 
0.7%
0.8 8
 
0.5%
1.3 8
 
0.5%
Other values (38) 63
 
4.3%

Length

2024-04-21T08:26:48.014719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 1082
73.1%
0 160
 
10.8%
na 54
 
3.6%
1.5 35
 
2.4%
3 30
 
2.0%
1.4 17
 
1.1%
1.2 13
 
0.9%
1.7 10
 
0.7%
1.3 8
 
0.5%
0.8 8
 
0.5%
Other values (38) 63
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023-12-06
1480 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-06
2nd row2023-12-06
3rd row2023-12-06
4th row2023-12-06
5th row2023-12-06

Common Values

ValueCountFrequency (%)
2023-12-06 1480
100.0%

Length

2024-04-21T08:26:48.404475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:26:48.713285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-06 1480
100.0%

Interactions

2024-04-21T08:26:27.924924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T08:26:49.110278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록구명작성일연장폭
등록구명1.0000.7870.1790.789
작성일0.7871.0000.0000.453
연장0.1790.0001.0000.873
폭0.7890.4530.8731.000
2024-04-21T08:26:49.362227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성일등록구명폭
작성일1.0000.6280.146
등록구명0.6281.0000.555
폭0.1460.5551.000
2024-04-21T08:26:49.605053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연장등록구명작성일폭
연장1.0000.1150.0000.555
등록구명0.1151.0000.6280.555
작성일0.0000.6281.0000.146
폭0.5550.5550.1461.000

Missing values

2024-04-21T08:26:28.154593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T08:26:28.459286image/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.
2024-04-21T08:26:28.686832image/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

허가번호등록구명공사명공사위치공사기간점용신청기관(업체)작성일허가일공사목적공작물구조연장폭데이터기준일자
02018_11, 2019_13포항시 남구포항블루밸리 국가산업단지 용수공급사업약전리 362-12018-02~2021-10-19한국수자원공사 포항지사2021-07-092021-06-29용수관매설용수관(D700)8069.03.52023-12-06
12018_11, 2019_13포항시 남구포항블루밸리 국가산업단지 용수공급사업약전리 322-22018-02~2021-10-19한국수자원공사 포항지사2021-07-092021-06-29용수관매설용수관(D700)8069.03.52023-12-06
22018_11, 2019_13포항시 남구포항블루밸리 국가산업단지 용수공급사업석리 215-12018-02~2021-10-19한국수자원공사 포항지사2021-07-092021-06-29용수관매설용수관(D700)8069.03.52023-12-06
32018_11, 2019_13포항시 남구포항블루밸리 국가산업단지 용수공급사업석리 201-42018-02~2021-10-19한국수자원공사 포항지사2021-07-092021-06-29용수관매설용수관(D700)8069.03.52023-12-06
42018_11, 2019_13포항시 남구포항블루밸리 국가산업단지 용수공급사업석리 141-12018-02~2021-10-19한국수자원공사 포항지사2021-07-092021-06-29용수관매설용수관(D700)8069.03.52023-12-06
52018_11, 2019_13포항시 남구포항블루밸리 국가산업단지 용수공급사업석리 29-12018-02~2021-10-19한국수자원공사 포항지사2021-07-092021-06-29용수관매설용수관(D700)8069.03.52023-12-06
62020_51포항시 남구포항 남구지역 전기공급시설 전력구공사(남포항분기)포항시 남구 대잠동 1008-16 ~ 이동 산 114-12020-06~2022-08한국전력공사 대구경북건설지사2021-07-092021-07-05지중송전계통연결맨홀 7개소, 수직구 1개소2699.02.0~8.02023-12-06
72021_04포항시 남구연일읍 하수관로 정비사업 3차경북자동차학원 앞 ~ GS슈퍼마켓 앞2021-01~2021-07포항시 맑은물사업본부 하수도과2021-07-092021-01-27연일읍 하수관로 정비사업오수관로150.01.62023-12-06
82021_04포항시 남구연일읍 하수관로 정비사업 3차삼도한솔타운 앞 ~ 형산초등학교 앞2021-01~2021-07포항시 맑은물사업본부 하수도과2021-07-092021-01-27연일읍 하수관로 정비사업오수관로390.01.52023-12-06
92021_04포항시 남구연일읍 하수관로 정비사업 3차미즈스타일 앞 ~ 생지리경로당 앞2021-01~2021-07포항시 맑은물사업본부 하수도과2021-07-092021-01-27연일읍 하수관로 정비사업오수관로360.01.22023-12-06
허가번호등록구명공사명공사위치공사기간점용신청기관(업체)작성일허가일공사목적공작물구조연장폭데이터기준일자
14702023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사용흥동 618-2칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관6.012023-12-06
14712023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사장성동 1376-2칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관5.012023-12-06
14722023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사장성동1434-13칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관5.012023-12-06
14732023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사장성동 1434-14칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관5.012023-12-06
14742023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사장성동 1434-6칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관5.012023-12-06
14752023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사장성동 1511-7칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관5.012023-12-06
14762023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사흥해 중성리 181/ 흥해로 74번길 19-1칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관6.012023-12-06
14772023-087포항시북구용흥동 618-2단독주택 인입관 외 7건 도시가스배관 매설 공사흥해읍 초곡리 1122칙공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.20도시가스배관매설도시가스배관5.012023-12-06
14782023-088포항시북구초곡힐스테이트 인입관로 공사흥해읍 초곡리 1812착공일로부터 1일간sk텔레콤㈜동부2023.11.29.2023.11.20인입관로 공사인입관로15.012023-12-06
14792023-089포항시북구상가 인입관 캡마감 1건 도시가스배관철거공사장성동 1458-11착공일로부터 3일간영남에너지서비스㈜2023.11.29.2023.11.24도시가스배관철거공사도시가스배관철거5.012023-12-06

Duplicate rows

Most frequently occurring

허가번호등록구명공사명공사위치공사기간점용신청기관(업체)작성일허가일공사목적공작물구조연장폭데이터기준일자# duplicates
32021_47포항시 남구스마트 관망관리 인프라 구축사업남구 해도동 2362021-06-01~2021-12-01포항시 맑은물사업본부 상수도과2021-07-092021-05-20유량계실 설치유량계실3.832023-12-063
02021-091포항시 북구노후하수관로 정비공사환호동 516-92021-10 ~ 2021-12영남에너지서비스㈜2023.11.29.2021.10.01.노후하수관로 교체노후하수관로 교체<NA><NA>2023-12-062
12021-123포항시 북구노후하수관로 및 암거보수 -보강교체환호동516-92022-01 ~ 2022-03맑은물사업본부 하수도과2023.11.29.2021.12.29.오수관로 교체오수관0.012023-12-062
22021_47포항시 남구스마트 관망관리 인프라 구축사업남구 대도동 1752021-06-01~2021-12-01포항시 맑은물사업본부 상수도과2021-07-092021-05-20유량계실 설치유량계실3.832023-12-062
42022-020포항시북구용흥동 서부종합시장 일원 노후관 교체공사용흥동 161 ~ 죽도동 196-5착공일로부터 6개월간(2022-04-07 ~ 2022-10-03)상수도과2023.11.29.2022-04-21노후 상수관로 교체노후 상수관로 교체111.012023-12-062