Overview

Dataset statistics

Number of variables6
Number of observations1068
Missing cells14
Missing cells (%)0.2%
Duplicate rows4
Duplicate rows (%)0.4%
Total size in memory50.2 KiB
Average record size in memory48.1 B

Variable types

Text5
DateTime1

Dataset

Description강원특별자치도 춘천시 도로굴착(점용) 허가 현황에 대한 노선별, 허가번호, 위치, 점용시작일, 점용종료(예정)일, 데이터기준일에 대한 자료.단, 점용허가 취소된 내역은 제외함.
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15043050/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 4 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-15 00:15:14.613420
Analysis finished2024-03-15 00:15:15.748113
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선별
Text

Distinct333
Distinct (%)31.2%
Missing1
Missing (%)0.1%
Memory size8.5 KiB
2024-03-15T09:15:16.544163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length10.522962
Min length2

Characters and Unicode

Total characters11228
Distinct characters48
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

Unique239 ?
Unique (%)22.4%

Sample

1st row도시계획도로(군도14)
2nd row농어촌도로(리도203)
3rd row도시계획도로(소류3류 221)
4th row도시계획도로(소류3류 241)
5th row도시계획도로(중로2류 61)
ValueCountFrequency (%)
도시계획도로 457
28.6%
도시계획도로(중로1류 92
 
5.8%
농어촌도로 59
 
3.7%
도시계획도로(대로3류 52
 
3.3%
도시계획도로(중로2류 41
 
2.6%
도시계획도로(소로2류 40
 
2.5%
군도 39
 
2.4%
도시계획도로(대로1류 33
 
2.1%
도시계획도로(소로3류 26
 
1.6%
2 26
 
1.6%
Other values (304) 732
45.8%
2024-03-15T09:15:17.909546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 2064
18.4%
로 1509
13.4%
시 917
 
8.2%
계 907
 
8.1%
획 907
 
8.1%
530
 
4.7%
( 519
 
4.6%
) 519
 
4.6%
1 493
 
4.4%
류 456
 
4.1%
Other values (38) 2407
21.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7909
70.4%
Decimal Number 1663
 
14.8%
Space Separator 530
 
4.7%
Open Punctuation 519
 
4.6%
Close Punctuation 519
 
4.6%
Other Punctuation 54
 
0.5%
Dash Punctuation 31
 
0.3%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2064
26.1%
로 1509
19.1%
시 917
11.6%
계 907
11.5%
획 907
11.5%
류 456
 
5.8%
중 209
 
2.6%
대 147
 
1.9%
소 129
 
1.6%
농 127
 
1.6%
Other values (21) 537
 
6.8%
Decimal Number
ValueCountFrequency (%)
1 493
29.6%
2 333
20.0%
3 260
15.6%
0 119
 
7.2%
6 106
 
6.4%
7 100
 
6.0%
5 78
 
4.7%
4 65
 
3.9%
8 55
 
3.3%
9 54
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 53
98.1%
/ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
530
100.0%
Open Punctuation
ValueCountFrequency (%)
( 519
100.0%
Close Punctuation
ValueCountFrequency (%)
) 519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7909
70.4%
Common 3319
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2064
26.1%
로 1509
19.1%
시 917
11.6%
계 907
11.5%
획 907
11.5%
류 456
 
5.8%
중 209
 
2.6%
대 147
 
1.9%
소 129
 
1.6%
농 127
 
1.6%
Other values (21) 537
 
6.8%
Common
ValueCountFrequency (%)
530
16.0%
( 519
15.6%
) 519
15.6%
1 493
14.9%
2 333
10.0%
3 260
7.8%
0 119
 
3.6%
6 106
 
3.2%
7 100
 
3.0%
5 78
 
2.4%
Other values (7) 262
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7909
70.4%
ASCII 3319
29.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 2064
26.1%
로 1509
19.1%
시 917
11.6%
계 907
11.5%
획 907
11.5%
류 456
 
5.8%
중 209
 
2.6%
대 147
 
1.9%
소 129
 
1.6%
농 127
 
1.6%
Other values (21) 537
 
6.8%
ASCII
ValueCountFrequency (%)
530
16.0%
( 519
15.6%
) 519
15.6%
1 493
14.9%
2 333
10.0%
3 260
7.8%
0 119
 
3.6%
6 106
 
3.2%
7 100
 
3.0%
5 78
 
2.4%
Other values (7) 262
7.9%

허가번호
Text

Distinct1029
Distinct (%)96.5%
Missing2
Missing (%)0.2%
Memory size8.5 KiB
2024-03-15T09:15:19.427797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.6754221
Min length6

Characters and Unicode

Total characters8182
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)93.2%

Sample

1st row21-Jan
2nd row21-Feb
3rd row21-Mar
4th row21-Apr
5th row21-May
ValueCountFrequency (%)
2022-237 3
 
0.3%
2021-58 3
 
0.3%
2022-153 2
 
0.2%
2021-56 2
 
0.2%
2022-16 2
 
0.2%
2022-312 2
 
0.2%
2021-35 2
 
0.2%
2021-125 2
 
0.2%
2022-155 2
 
0.2%
2022-83 2
 
0.2%
Other values (1019) 1044
97.9%
2024-03-15T09:15:21.618791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3003
36.7%
0 1220
14.9%
- 1067
 
13.0%
1 872
 
10.7%
3 701
 
8.6%
5 216
 
2.6%
4 211
 
2.6%
8 200
 
2.4%
6 197
 
2.4%
9 192
 
2.3%
Other values (23) 303
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7004
85.6%
Dash Punctuation 1067
 
13.0%
Lowercase Letter 74
 
0.9%
Uppercase Letter 37
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10
13.5%
u 9
12.2%
a 9
12.2%
p 6
8.1%
n 6
8.1%
r 6
8.1%
c 6
8.1%
b 4
 
5.4%
t 3
 
4.1%
o 3
 
4.1%
Other values (4) 12
16.2%
Decimal Number
ValueCountFrequency (%)
2 3003
42.9%
0 1220
17.4%
1 872
 
12.5%
3 701
 
10.0%
5 216
 
3.1%
4 211
 
3.0%
8 200
 
2.9%
6 197
 
2.8%
9 192
 
2.7%
7 192
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
J 9
24.3%
A 6
16.2%
M 6
16.2%
F 4
10.8%
D 3
 
8.1%
N 3
 
8.1%
S 3
 
8.1%
O 3
 
8.1%
Dash Punctuation
ValueCountFrequency (%)
- 1067
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8071
98.6%
Latin 111
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10
 
9.0%
J 9
 
8.1%
u 9
 
8.1%
a 9
 
8.1%
p 6
 
5.4%
n 6
 
5.4%
A 6
 
5.4%
r 6
 
5.4%
c 6
 
5.4%
M 6
 
5.4%
Other values (12) 38
34.2%
Common
ValueCountFrequency (%)
2 3003
37.2%
0 1220
15.1%
- 1067
 
13.2%
1 872
 
10.8%
3 701
 
8.7%
5 216
 
2.7%
4 211
 
2.6%
8 200
 
2.5%
6 197
 
2.4%
9 192
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3003
36.7%
0 1220
14.9%
- 1067
 
13.0%
1 872
 
10.7%
3 701
 
8.6%
5 216
 
2.6%
4 211
 
2.6%
8 200
 
2.4%
6 197
 
2.4%
9 192
 
2.3%
Other values (23) 303
 
3.7%

위치
Text

Distinct941
Distinct (%)88.2%
Missing1
Missing (%)0.1%
Memory size8.5 KiB
2024-03-15T09:15:22.961887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length278
Median length161
Mean length20.636364
Min length1

Characters and Unicode

Total characters22019
Distinct characters155
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

Unique851 ?
Unique (%)79.8%

Sample

1st row사북면 지암리 418-2번지 일원
2nd row북산면 내평리 413-2번지 일원
3rd row근화동 784번지 일원
4th row효자동 172-96번지 일원
5th row동면 지내리 237-22번지 외 4개소
ValueCountFrequency (%)
일원 887
 
18.2%
후평동 154
 
3.2%
효자동 120
 
2.5%
석사동 117
 
2.4%
퇴계동 112
 
2.3%
동면 104
 
2.1%
온의동 86
 
1.8%
근화동 79
 
1.6%
인근 71
 
1.5%
우두동 70
 
1.4%
Other values (1545) 3080
63.1%
2024-03-15T09:15:24.437672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3818
17.3%
1 1414
 
6.4%
- 1301
 
5.9%
동 1287
 
5.8%
원 961
 
4.4%
일 943
 
4.3%
2 867
 
3.9%
3 685
 
3.1%
7 675
 
3.1%
6 659
 
3.0%
Other values (145) 9409
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8931
40.6%
Decimal Number 7095
32.2%
Space Separator 3818
17.3%
Dash Punctuation 1301
 
5.9%
Other Punctuation 614
 
2.8%
Close Punctuation 114
 
0.5%
Open Punctuation 113
 
0.5%
Math Symbol 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1287
 
14.4%
원 961
 
10.8%
일 943
 
10.6%
리 492
 
5.5%
면 371
 
4.2%
지 232
 
2.6%
산 228
 
2.6%
사 224
 
2.5%
번 181
 
2.0%
평 173
 
1.9%
Other values (127) 3839
43.0%
Decimal Number
ValueCountFrequency (%)
1 1414
19.9%
2 867
12.2%
3 685
9.7%
7 675
9.5%
6 659
9.3%
4 608
8.6%
5 599
8.4%
9 574
8.1%
8 553
 
7.8%
0 461
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 609
99.2%
: 4
 
0.7%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3818
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13088
59.4%
Hangul 8931
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1287
 
14.4%
원 961
 
10.8%
일 943
 
10.6%
리 492
 
5.5%
면 371
 
4.2%
지 232
 
2.6%
산 228
 
2.6%
사 224
 
2.5%
번 181
 
2.0%
평 173
 
1.9%
Other values (127) 3839
43.0%
Common
ValueCountFrequency (%)
3818
29.2%
1 1414
 
10.8%
- 1301
 
9.9%
2 867
 
6.6%
3 685
 
5.2%
7 675
 
5.2%
6 659
 
5.0%
, 609
 
4.7%
4 608
 
4.6%
5 599
 
4.6%
Other values (8) 1853
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13088
59.4%
Hangul 8931
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3818
29.2%
1 1414
 
10.8%
- 1301
 
9.9%
2 867
 
6.6%
3 685
 
5.2%
7 675
 
5.2%
6 659
 
5.0%
, 609
 
4.7%
4 608
 
4.6%
5 599
 
4.6%
Other values (8) 1853
14.2%
Hangul
ValueCountFrequency (%)
동 1287
 
14.4%
원 961
 
10.8%
일 943
 
10.6%
리 492
 
5.5%
면 371
 
4.2%
지 232
 
2.6%
산 228
 
2.6%
사 224
 
2.5%
번 181
 
2.0%
평 173
 
1.9%
Other values (127) 3839
43.0%

점용시작일
Text

Distinct394
Distinct (%)37.1%
Missing5
Missing (%)0.5%
Memory size8.5 KiB
2024-03-15T09:15:25.427802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9887112
Min length4

Characters and Unicode

Total characters10618
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)16.2%

Sample

1st row2021-01-12
2nd row2021-01-12
3rd row2021-02-01
4th row2021-01-21
5th row2021-01-28
ValueCountFrequency (%)
2021-03-22 17
 
1.6%
2021-11-15 14
 
1.3%
2021-03-29 13
 
1.2%
2023-03-20 13
 
1.2%
2021-06-04 12
 
1.1%
2021-04-19 11
 
1.0%
2022-05-06 11
 
1.0%
2021-09-15 10
 
0.9%
2022-05-23 9
 
0.8%
2023-05-08 9
 
0.8%
Other values (384) 944
88.8%
2024-03-15T09:15:26.709238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3053
28.8%
0 2338
22.0%
- 2153
20.3%
1 1214
 
11.4%
3 573
 
5.4%
5 256
 
2.4%
4 222
 
2.1%
9 209
 
2.0%
8 204
 
1.9%
6 196
 
1.8%
Other values (5) 200
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8457
79.6%
Dash Punctuation 2153
 
20.3%
Other Letter 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3053
36.1%
0 2338
27.6%
1 1214
 
14.4%
3 573
 
6.8%
5 256
 
3.0%
4 222
 
2.6%
9 209
 
2.5%
8 204
 
2.4%
6 196
 
2.3%
7 192
 
2.3%
Other Letter
ValueCountFrequency (%)
해 2
25.0%
당 2
25.0%
없 2
25.0%
음 2
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10610
99.9%
Hangul 8
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3053
28.8%
0 2338
22.0%
- 2153
20.3%
1 1214
 
11.4%
3 573
 
5.4%
5 256
 
2.4%
4 222
 
2.1%
9 209
 
2.0%
8 204
 
1.9%
6 196
 
1.8%
Hangul
ValueCountFrequency (%)
해 2
25.0%
당 2
25.0%
없 2
25.0%
음 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10610
99.9%
Hangul 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3053
28.8%
0 2338
22.0%
- 2153
20.3%
1 1214
 
11.4%
3 573
 
5.4%
5 256
 
2.4%
4 222
 
2.1%
9 209
 
2.0%
8 204
 
1.9%
6 196
 
1.8%
Hangul
ValueCountFrequency (%)
해 2
25.0%
당 2
25.0%
없 2
25.0%
음 2
25.0%

점용종료(예정)일
Text

Distinct407
Distinct (%)38.3%
Missing5
Missing (%)0.5%
Memory size8.5 KiB
2024-03-15T09:15:27.752734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9896519
Min length4

Characters and Unicode

Total characters10619
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)22.0%

Sample

1st row2021-01-16
2nd row2021-02-10
3rd row2021-02-05
4th row2021-01-30
5th row2021-01-29
ValueCountFrequency (%)
2021-12-31 53
 
5.0%
2023-12-31 50
 
4.7%
2022-12-31 44
 
4.1%
2023-06-30 39
 
3.7%
2022-06-30 35
 
3.3%
2023-10-31 17
 
1.6%
2021-08-31 15
 
1.4%
2022-11-30 14
 
1.3%
2022-09-30 13
 
1.2%
2021-06-30 13
 
1.2%
Other values (397) 770
72.4%
2024-03-15T09:15:29.184341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3019
28.4%
0 2183
20.6%
- 2127
20.0%
1 1388
13.1%
3 903
 
8.5%
6 201
 
1.9%
8 192
 
1.8%
9 164
 
1.5%
7 155
 
1.5%
4 137
 
1.3%
Other values (7) 150
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8478
79.8%
Dash Punctuation 2127
 
20.0%
Other Letter 8
 
0.1%
Space Separator 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3019
35.6%
0 2183
25.7%
1 1388
16.4%
3 903
 
10.7%
6 201
 
2.4%
8 192
 
2.3%
9 164
 
1.9%
7 155
 
1.8%
4 137
 
1.6%
5 136
 
1.6%
Other Letter
ValueCountFrequency (%)
해 2
25.0%
당 2
25.0%
없 2
25.0%
음 2
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2127
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10611
99.9%
Hangul 8
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3019
28.5%
0 2183
20.6%
- 2127
20.0%
1 1388
13.1%
3 903
 
8.5%
6 201
 
1.9%
8 192
 
1.8%
9 164
 
1.5%
7 155
 
1.5%
4 137
 
1.3%
Other values (3) 142
 
1.3%
Hangul
ValueCountFrequency (%)
해 2
25.0%
당 2
25.0%
없 2
25.0%
음 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10611
99.9%
Hangul 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3019
28.5%
0 2183
20.6%
- 2127
20.0%
1 1388
13.1%
3 903
 
8.5%
6 201
 
1.9%
8 192
 
1.8%
9 164
 
1.5%
7 155
 
1.5%
4 137
 
1.3%
Other values (3) 142
 
1.3%
Hangul
ValueCountFrequency (%)
해 2
25.0%
당 2
25.0%
없 2
25.0%
음 2
25.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2024-01-30 00:00:00
Maximum2024-01-30 00:00:00
2024-03-15T09:15:29.381324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:15:29.599504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-15T09:15:15.060639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:15:15.258127image/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.
2024-03-15T09:15:15.633268image/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

노선별허가번호위치점용시작일점용종료(예정)일데이터기준일
0도시계획도로(군도14)21-Jan사북면 지암리 418-2번지 일원2021-01-122021-01-162024-01-30
1농어촌도로(리도203)21-Feb북산면 내평리 413-2번지 일원2021-01-122021-02-102024-01-30
2도시계획도로(소류3류 221)21-Mar근화동 784번지 일원2021-02-012021-02-052024-01-30
3도시계획도로(소류3류 241)21-Apr효자동 172-96번지 일원2021-01-212021-01-302024-01-30
4도시계획도로(중로2류 61)21-May동면 지내리 237-22번지 외 4개소2021-01-282021-01-292024-01-30
5도시계획도로(소로2류 177)21-Jun근화동 780번지 일원(747-3)2021-02-222021-02-262024-01-30
6도시계획도로(중로2류 112)21-Jul남산면 창촌리 666번지 일원(636)2021-03-022021-03-112024-01-30
7도시계획도로(중로1류 16)21-Aug삼천동 421-7번지 일원2021-02-152021-02-162024-01-30
8도시계획도로(대로1류 2)21-Sep온의동 345-3, 송암동 86-2번지 일원2021-02-082021-04-082024-01-30
9도시계획도로(소로1류 36)21-Oct교동 170번지(144-1), 소양로2가 172, 소양로3가 70-1번지 일원2021-02-082021-03-092024-01-30
노선별허가번호위치점용시작일점용종료(예정)일데이터기준일
1058도시계획도로2023-337소양로4가 119 일원2023-12-082023-12-152024-01-30
1059도시계획도로2023-338칠전동 산23 일원2023-12-082023-12-192024-01-30
1060군도2023-339남면 추곡리 산 93-3 일원2023-12-082023-12-312024-01-30
1061도시계획도로2023-340퇴계동 874-1 일원2023-12-112023-12-152024-01-30
1062도시계획도로2023-341효자동 217-3 일원2023-12-202023-12-292024-01-30
1063도시계획도로2023-342효자동 652-16 일원2023-12-192023-12-222024-01-30
1064도시계획도로2023-343동면 장학리 858-3, 96-3 일원2023-12-222023-12-312024-01-30
1065군도2023-344남산면 백양리 421-2 일원 외 3개소2023-12-282024-01-312024-01-30
1066도시계획도로2023-345소양로3가 185-1 일원2023-06-012024-08-312024-01-30
1067도시계획도로2023-346소양로2가 168 일원2023-06-012024-08-312024-01-30

Duplicate rows

Most frequently occurring

노선별허가번호위치점용시작일점용종료(예정)일데이터기준일# duplicates
0농어촌도로(면도 101호선, 리도 201호선, 리도 302호선)2021-254춘천시 신북처리분구 외 1개소 하수관로 정비사업2021-10-252023-12-312024-01-302
1도시계획도로(중로1류 10 소양1교, 대로1류 6 소양2교)2022-83소양1교, 소양2교2022-04-262022-06-302024-01-302
2도시계획도로(중로2류 127)2022-16옥천동 111-2 일원2022-3-28-2022-04-082024-01-302
3도시계획도로(중로2류78)2021-93온의동 575번지 일원2021-05-012021-06-302024-01-302