Overview

Dataset statistics

Number of variables22
Number of observations6235
Missing cells8338
Missing cells (%)6.1%
Duplicate rows310
Duplicate rows (%)5.0%
Total size in memory1.1 MiB
Average record size in memory185.0 B

Variable types

Text5
Categorical7
Numeric6
Boolean3
DateTime1

Dataset

Description과속방지턱 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=88A8DXW0P4IXM75BVZDF26896310&infSeq=1

Alerts

시도명 has constant value ""Constant
Dataset has 310 (5.0%) duplicate rowsDuplicates
과속방지턱재료 is highly imbalanced (84.6%)Imbalance
과속방지턱형태구분 is highly imbalanced (84.4%)Imbalance
규격여부 is highly imbalanced (64.6%)Imbalance
과속방지턱관리번호 has 108 (1.7%) missing valuesMissing
소재지도로명주소 has 2698 (43.3%) missing valuesMissing
과속방지턱설치연도 has 5532 (88.7%) missing valuesMissing
과속방지턱높이 has 326 (5.2%) zerosZeros

Reproduction

Analysis started2024-03-12 23:54:30.905972
Analysis finished2024-03-12 23:54:31.725724
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과속방지턱관리번호
Text

MISSING 

Distinct2008
Distinct (%)32.8%
Missing108
Missing (%)1.7%
Memory size48.8 KiB
2024-03-13T08:54:32.089211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length3.1266525
Min length1

Characters and Unicode

Total characters19157
Distinct characters48
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

Unique1577 ?
Unique (%)25.7%

Sample

1st row2018-01-01
2nd row2018-02-01
3rd row2018-03-01
4th row2018-04-01
5th row2018-05-01
ValueCountFrequency (%)
15 22
 
0.4%
3 22
 
0.4%
20 22
 
0.4%
21 22
 
0.4%
14 22
 
0.4%
5 22
 
0.4%
29 22
 
0.4%
13 22
 
0.4%
7 22
 
0.4%
22 22
 
0.4%
Other values (1998) 5907
96.4%
2024-03-13T08:54:32.532809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3313
17.3%
0 1783
9.3%
2 1728
9.0%
3 1566
8.2%
4 1395
7.3%
5 1321
 
6.9%
6 1312
 
6.8%
7 1280
 
6.7%
8 1183
 
6.2%
- 1117
 
5.8%
Other values (38) 3159
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15852
82.7%
Other Letter 2188
 
11.4%
Dash Punctuation 1117
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
왕 225
 
10.3%
정 219
 
10.0%
천 203
 
9.3%
신 177
 
8.1%
곡 168
 
7.7%
연 146
 
6.7%
전 135
 
6.2%
군 93
 
4.3%
대 76
 
3.5%
야 76
 
3.5%
Other values (27) 670
30.6%
Decimal Number
ValueCountFrequency (%)
1 3313
20.9%
0 1783
11.2%
2 1728
10.9%
3 1566
9.9%
4 1395
8.8%
5 1321
 
8.3%
6 1312
 
8.3%
7 1280
 
8.1%
8 1183
 
7.5%
9 971
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 1117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16969
88.6%
Hangul 2188
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
왕 225
 
10.3%
정 219
 
10.0%
천 203
 
9.3%
신 177
 
8.1%
곡 168
 
7.7%
연 146
 
6.7%
전 135
 
6.2%
군 93
 
4.3%
대 76
 
3.5%
야 76
 
3.5%
Other values (27) 670
30.6%
Common
ValueCountFrequency (%)
1 3313
19.5%
0 1783
10.5%
2 1728
10.2%
3 1566
9.2%
4 1395
8.2%
5 1321
 
7.8%
6 1312
 
7.7%
7 1280
 
7.5%
8 1183
 
7.0%
- 1117
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16969
88.6%
Hangul 2188
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3313
19.5%
0 1783
10.5%
2 1728
10.2%
3 1566
9.2%
4 1395
8.2%
5 1321
 
7.8%
6 1312
 
7.7%
7 1280
 
7.5%
8 1183
 
7.0%
- 1117
 
6.6%
Hangul
ValueCountFrequency (%)
왕 225
 
10.3%
정 219
 
10.0%
천 203
 
9.3%
신 177
 
8.1%
곡 168
 
7.7%
연 146
 
6.7%
전 135
 
6.2%
군 93
 
4.3%
대 76
 
3.5%
야 76
 
3.5%
Other values (27) 670
30.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
경기도
6235 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 6235
100.0%

Length

2024-03-13T08:54:32.642555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:54:32.717735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 6235
100.0%

시군구명
Categorical

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
수원시
2944 
군포시
896 
시흥시
798 
하남시
431 
광주시
380 
Other values (7)
786 

Length

Max length4
Median length3
Mean length3.0141139
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 2944
47.2%
군포시 896
 
14.4%
시흥시 798
 
12.8%
하남시 431
 
6.9%
광주시 380
 
6.1%
연천군 294
 
4.7%
포천시 247
 
4.0%
화성시 109
 
1.7%
남양주시 88
 
1.4%
오산시 29
 
0.5%
Other values (2) 19
 
0.3%

Length

2024-03-13T08:54:32.793005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 2944
47.2%
군포시 896
 
14.4%
시흥시 798
 
12.8%
하남시 431
 
6.9%
광주시 380
 
6.1%
연천군 294
 
4.7%
포천시 247
 
4.0%
화성시 109
 
1.7%
남양주시 88
 
1.4%
오산시 29
 
0.5%
Other values (2) 19
 
0.3%

도로명
Text

Distinct898
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
2024-03-13T08:54:33.085365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.2030473
Min length2

Characters and Unicode

Total characters32441
Distinct characters244
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

Unique276 ?
Unique (%)4.4%

Sample

1st row영당로
2nd row자경로
3rd row덕단이로
4th row덕단이로
5th row광명로 887번길
ValueCountFrequency (%)
광교산로 656
 
9.5%
매여울로 368
 
5.3%
권광로 304
 
4.4%
동수원로 272
 
3.9%
중부대로 224
 
3.2%
매봉로 224
 
3.2%
산남로 176
 
2.5%
광교산로140번길 128
 
1.9%
도시계획도로 126
 
1.8%
해당없음 107
 
1.5%
Other values (910) 4323
62.6%
2024-03-13T08:54:33.426965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 5664
 
17.5%
길 2295
 
7.1%
번 2034
 
6.3%
산 1399
 
4.3%
광 1152
 
3.6%
1 1041
 
3.2%
교 804
 
2.5%
3 758
 
2.3%
673
 
2.1%
매 650
 
2.0%
Other values (234) 15971
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26080
80.4%
Decimal Number 5687
 
17.5%
Space Separator 673
 
2.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 5664
21.7%
길 2295
 
8.8%
번 2034
 
7.8%
산 1399
 
5.4%
광 1152
 
4.4%
교 804
 
3.1%
매 650
 
2.5%
수 553
 
2.1%
대 476
 
1.8%
도 471
 
1.8%
Other values (222) 10582
40.6%
Decimal Number
ValueCountFrequency (%)
1 1041
18.3%
3 758
13.3%
2 620
10.9%
7 614
10.8%
4 581
10.2%
6 543
9.5%
0 479
8.4%
5 473
8.3%
8 343
 
6.0%
9 235
 
4.1%
Space Separator
ValueCountFrequency (%)
673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26080
80.4%
Common 6361
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 5664
21.7%
길 2295
 
8.8%
번 2034
 
7.8%
산 1399
 
5.4%
광 1152
 
4.4%
교 804
 
3.1%
매 650
 
2.5%
수 553
 
2.1%
대 476
 
1.8%
도 471
 
1.8%
Other values (222) 10582
40.6%
Common
ValueCountFrequency (%)
1 1041
16.4%
3 758
11.9%
673
10.6%
2 620
9.7%
7 614
9.7%
4 581
9.1%
6 543
8.5%
0 479
7.5%
5 473
7.4%
8 343
 
5.4%
Other values (2) 236
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26080
80.4%
ASCII 6361
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 5664
21.7%
길 2295
 
8.8%
번 2034
 
7.8%
산 1399
 
5.4%
광 1152
 
4.4%
교 804
 
3.1%
매 650
 
2.5%
수 553
 
2.1%
대 476
 
1.8%
도 471
 
1.8%
Other values (222) 10582
40.6%
ASCII
ValueCountFrequency (%)
1 1041
16.4%
3 758
11.9%
673
10.6%
2 620
9.7%
7 614
9.7%
4 581
9.1%
6 543
8.5%
0 479
7.5%
5 473
7.4%
8 343
 
5.4%
Other values (2) 236
 
3.7%

소재지도로명주소
Text

MISSING 

Distinct1276
Distinct (%)36.1%
Missing2698
Missing (%)43.3%
Memory size48.8 KiB
2024-03-13T08:54:33.684510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length17.992084
Min length11

Characters and Unicode

Total characters63638
Distinct characters238
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

Unique1127 ?
Unique (%)31.9%

Sample

1st row경기도 광명시 영당로 18
2nd row경기도 광명시 자경로 19
3rd row경기도 광명시 덕단이로 9
4th row경기도 광명시 덕단이로 13
5th row경기도 광명시 광명로887번길 33
ValueCountFrequency (%)
경기도 3537
22.6%
수원시 1264
 
8.1%
6 905
 
5.8%
군포시 896
 
5.7%
청백리길 896
 
5.7%
영통구 688
 
4.4%
시흥시 543
 
3.5%
광주시 380
 
2.4%
포천시 247
 
1.6%
권선구 216
 
1.4%
Other values (1265) 6090
38.9%
2024-03-13T08:54:34.066937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12129
19.1%
시 4077
 
6.4%
도 3645
 
5.7%
경 3568
 
5.6%
기 3543
 
5.6%
길 2385
 
3.7%
로 2177
 
3.4%
1 1839
 
2.9%
수 1561
 
2.5%
6 1522
 
2.4%
Other values (228) 27192
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41740
65.6%
Space Separator 12129
 
19.1%
Decimal Number 9263
 
14.6%
Dash Punctuation 503
 
0.8%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4077
 
9.8%
도 3645
 
8.7%
경 3568
 
8.5%
기 3543
 
8.5%
길 2385
 
5.7%
로 2177
 
5.2%
수 1561
 
3.7%
원 1500
 
3.6%
구 1273
 
3.0%
번 1223
 
2.9%
Other values (214) 16788
40.2%
Decimal Number
ValueCountFrequency (%)
1 1839
19.9%
6 1522
16.4%
3 949
10.2%
4 870
9.4%
2 831
9.0%
5 761
8.2%
7 730
 
7.9%
9 711
 
7.7%
0 567
 
6.1%
8 483
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
12129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 503
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41740
65.6%
Common 21898
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4077
 
9.8%
도 3645
 
8.7%
경 3568
 
8.5%
기 3543
 
8.5%
길 2385
 
5.7%
로 2177
 
5.2%
수 1561
 
3.7%
원 1500
 
3.6%
구 1273
 
3.0%
번 1223
 
2.9%
Other values (214) 16788
40.2%
Common
ValueCountFrequency (%)
12129
55.4%
1 1839
 
8.4%
6 1522
 
7.0%
3 949
 
4.3%
4 870
 
4.0%
2 831
 
3.8%
5 761
 
3.5%
7 730
 
3.3%
9 711
 
3.2%
0 567
 
2.6%
Other values (4) 989
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41740
65.6%
ASCII 21898
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12129
55.4%
1 1839
 
8.4%
6 1522
 
7.0%
3 949
 
4.3%
4 870
 
4.0%
2 831
 
3.8%
5 761
 
3.5%
7 730
 
3.3%
9 711
 
3.2%
0 567
 
2.6%
Other values (4) 989
 
4.5%
Hangul
ValueCountFrequency (%)
시 4077
 
9.8%
도 3645
 
8.7%
경 3568
 
8.5%
기 3543
 
8.5%
길 2385
 
5.7%
로 2177
 
5.2%
수 1561
 
3.7%
원 1500
 
3.6%
구 1273
 
3.0%
번 1223
 
2.9%
Other values (214) 16788
40.2%

소재지지번주소
Text

Distinct2204
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
2024-03-13T08:54:34.400817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length19.946271
Min length14

Characters and Unicode

Total characters124365
Distinct characters276
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1878 ?
Unique (%)30.1%

Sample

1st row경기도 광명시 소하동 937-2번지
2nd row경기도 광명시 일직동 502-1번지
3rd row경기도 광명시 광명동 747-16번지 명보빌라
4th row경기도 광명시 광명동 746-15번지 제일빌라
5th row경기도 광명시 광명동 180-7번지 한국맨션
ValueCountFrequency (%)
경기도 6235
21.5%
수원시 2944
 
10.2%
영통구 1312
 
4.5%
매탄동 1312
 
4.5%
장안구 992
 
3.4%
금정동 896
 
3.1%
844번지 896
 
3.1%
군포시 896
 
3.1%
시흥시 798
 
2.8%
하남시 431
 
1.5%
Other values (2589) 12277
42.4%
2024-03-13T08:54:34.783502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22754
18.3%
시 6750
 
5.4%
도 6393
 
5.1%
경 6251
 
5.0%
기 6248
 
5.0%
동 5453
 
4.4%
1 4803
 
3.9%
4 4173
 
3.4%
- 4121
 
3.3%
수 3032
 
2.4%
Other values (266) 54387
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74154
59.6%
Decimal Number 23333
 
18.8%
Space Separator 22754
 
18.3%
Dash Punctuation 4121
 
3.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6750
 
9.1%
도 6393
 
8.6%
경 6251
 
8.4%
기 6248
 
8.4%
동 5453
 
7.4%
수 3032
 
4.1%
원 2978
 
4.0%
구 2974
 
4.0%
지 2284
 
3.1%
번 2198
 
3.0%
Other values (251) 29593
39.9%
Decimal Number
ValueCountFrequency (%)
1 4803
20.6%
4 4173
17.9%
2 2508
10.7%
5 2156
9.2%
3 2056
8.8%
8 1951
8.4%
9 1885
 
8.1%
6 1285
 
5.5%
7 1272
 
5.5%
0 1244
 
5.3%
Space Separator
ValueCountFrequency (%)
22754
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74154
59.6%
Common 50211
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6750
 
9.1%
도 6393
 
8.6%
경 6251
 
8.4%
기 6248
 
8.4%
동 5453
 
7.4%
수 3032
 
4.1%
원 2978
 
4.0%
구 2974
 
4.0%
지 2284
 
3.1%
번 2198
 
3.0%
Other values (251) 29593
39.9%
Common
ValueCountFrequency (%)
22754
45.3%
1 4803
 
9.6%
4 4173
 
8.3%
- 4121
 
8.2%
2 2508
 
5.0%
5 2156
 
4.3%
3 2056
 
4.1%
8 1951
 
3.9%
9 1885
 
3.8%
6 1285
 
2.6%
Other values (5) 2519
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74154
59.6%
ASCII 50211
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22754
45.3%
1 4803
 
9.6%
4 4173
 
8.3%
- 4121
 
8.2%
2 2508
 
5.0%
5 2156
 
4.3%
3 2056
 
4.1%
8 1951
 
3.9%
9 1885
 
3.8%
6 1285
 
2.6%
Other values (5) 2519
 
5.0%
Hangul
ValueCountFrequency (%)
시 6750
 
9.1%
도 6393
 
8.6%
경 6251
 
8.4%
기 6248
 
8.4%
동 5453
 
7.4%
수 3032
 
4.1%
원 2978
 
4.0%
구 2974
 
4.0%
지 2284
 
3.1%
번 2198
 
3.0%
Other values (251) 29593
39.9%

설치장소
Text

Distinct786
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
2024-03-13T08:54:35.086675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length4.9746592
Min length2

Characters and Unicode

Total characters31017
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)10.5%

Sample

1st row도로
2nd row도로
3rd row도로
4th row도로
5th row도로
ValueCountFrequency (%)
도로 1583
18.8%
근처 798
 
9.5%
해당지번 798
 
9.5%
광교산로 432
 
5.1%
매여울로 368
 
4.4%
매봉로 224
 
2.7%
동수원로 192
 
2.3%
산남로 176
 
2.1%
부근 172
 
2.0%
권광로 144
 
1.7%
Other values (849) 3519
41.9%
2024-03-13T08:54:35.524983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 3477
 
11.2%
2171
 
7.0%
도 1871
 
6.0%
근 970
 
3.1%
동 912
 
2.9%
교 874
 
2.8%
지 834
 
2.7%
당 832
 
2.7%
번 830
 
2.7%
해 799
 
2.6%
Other values (278) 17447
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25234
81.4%
Decimal Number 3036
 
9.8%
Space Separator 2171
 
7.0%
Dash Punctuation 552
 
1.8%
Lowercase Letter 9
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3477
 
13.8%
도 1871
 
7.4%
근 970
 
3.8%
동 912
 
3.6%
교 874
 
3.5%
지 834
 
3.3%
당 832
 
3.3%
번 830
 
3.3%
해 799
 
3.2%
처 798
 
3.2%
Other values (259) 13037
51.7%
Decimal Number
ValueCountFrequency (%)
2 504
16.6%
1 495
16.3%
3 362
11.9%
4 353
11.6%
5 346
11.4%
6 240
7.9%
7 233
7.7%
0 198
 
6.5%
8 175
 
5.8%
9 130
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
m 8
88.9%
k 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
D 2
50.0%
Space Separator
ValueCountFrequency (%)
2171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 552
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25234
81.4%
Common 5770
 
18.6%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3477
 
13.8%
도 1871
 
7.4%
근 970
 
3.8%
동 912
 
3.6%
교 874
 
3.5%
지 834
 
3.3%
당 832
 
3.3%
번 830
 
3.3%
해 799
 
3.2%
처 798
 
3.2%
Other values (259) 13037
51.7%
Common
ValueCountFrequency (%)
2171
37.6%
- 552
 
9.6%
2 504
 
8.7%
1 495
 
8.6%
3 362
 
6.3%
4 353
 
6.1%
5 346
 
6.0%
6 240
 
4.2%
7 233
 
4.0%
0 198
 
3.4%
Other values (5) 316
 
5.5%
Latin
ValueCountFrequency (%)
m 8
61.5%
J 2
 
15.4%
D 2
 
15.4%
k 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25234
81.4%
ASCII 5783
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 3477
 
13.8%
도 1871
 
7.4%
근 970
 
3.8%
동 912
 
3.6%
교 874
 
3.5%
지 834
 
3.3%
당 832
 
3.3%
번 830
 
3.3%
해 799
 
3.2%
처 798
 
3.2%
Other values (259) 13037
51.7%
ASCII
ValueCountFrequency (%)
2171
37.5%
- 552
 
9.5%
2 504
 
8.7%
1 495
 
8.6%
3 362
 
6.3%
4 353
 
6.1%
5 346
 
6.0%
6 240
 
4.2%
7 233
 
4.0%
0 198
 
3.4%
Other values (9) 329
 
5.7%

과속방지턱재료
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
1
5986 
2
 
248
99
 
1

Length

Max length2
Median length1
Mean length1.0001604
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5986
96.0%
2 248
 
4.0%
99 1
 
< 0.1%

Length

2024-03-13T08:54:35.636234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:54:35.716727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5986
96.0%
2 248
 
4.0%
99 1
 
< 0.1%

과속방지턱형태구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
1
5926 
3
 
272
2
 
35
99
 
2

Length

Max length2
Median length1
Mean length1.0003208
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5926
95.0%
3 272
 
4.4%
2 35
 
0.6%
99 2
 
< 0.1%

Length

2024-03-13T08:54:35.805656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:54:35.886122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5926
95.0%
3 272
 
4.4%
2 35
 
0.6%
99 2
 
< 0.1%

과속방지턱높이
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0800321
Minimum0
Maximum11
Zeros326
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2024-03-13T08:54:35.955980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10
Q310
95-th percentile10
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3520571
Coefficient of variation (CV)0.25903621
Kurtosis8.8186259
Mean9.0800321
Median Absolute Deviation (MAD)0
Skewness-3.0738023
Sum56614
Variance5.5321726
MonotonicityNot monotonic
2024-03-13T08:54:36.039159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10.0 4990
80.0%
7.5 718
 
11.5%
0.0 326
 
5.2%
7.0 106
 
1.7%
8.0 33
 
0.5%
6.0 21
 
0.3%
4.0 16
 
0.3%
5.0 14
 
0.2%
3.0 4
 
0.1%
9.0 4
 
0.1%
Other values (2) 3
 
< 0.1%
ValueCountFrequency (%)
0.0 326
5.2%
2.0 2
 
< 0.1%
3.0 4
 
0.1%
4.0 16
 
0.3%
5.0 14
 
0.2%
6.0 21
 
0.3%
7.0 106
 
1.7%
7.5 718
11.5%
8.0 33
 
0.5%
9.0 4
 
0.1%
ValueCountFrequency (%)
11.0 1
 
< 0.1%
10.0 4990
80.0%
9.0 4
 
0.1%
8.0 33
 
0.5%
7.5 718
 
11.5%
7.0 106
 
1.7%
6.0 21
 
0.3%
5.0 14
 
0.2%
4.0 16
 
0.3%
3.0 4
 
0.1%

과속방지턱폭
Real number (ℝ)

Distinct36
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.44725
Minimum2
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2024-03-13T08:54:36.150880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q1360
median360
Q3600
95-th percentile760
Maximum1000
Range998
Interquartile range (IQR)240

Descriptive statistics

Standard deviation208.46756
Coefficient of variation (CV)0.4877036
Kurtosis-0.41539443
Mean427.44725
Median Absolute Deviation (MAD)110
Skewness-0.062271584
Sum2665133.6
Variance43458.724
MonotonicityNot monotonic
2024-03-13T08:54:36.529931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
360.0 2597
41.7%
600.0 976
 
15.7%
760.0 784
 
12.6%
250.0 627
 
10.1%
640.0 416
 
6.7%
2.0 357
 
5.7%
3.6 161
 
2.6%
320.0 120
 
1.9%
300.0 31
 
0.5%
800.0 23
 
0.4%
Other values (26) 143
 
2.3%
ValueCountFrequency (%)
2.0 357
5.7%
3.6 161
 
2.6%
200.0 12
 
0.2%
220.0 6
 
0.1%
230.0 4
 
0.1%
240.0 2
 
< 0.1%
250.0 627
10.1%
260.0 5
 
0.1%
270.0 6
 
0.1%
280.0 11
 
0.2%
ValueCountFrequency (%)
1000.0 2
 
< 0.1%
900.0 16
 
0.3%
800.0 23
 
0.4%
760.0 784
12.6%
640.0 416
6.7%
600.0 976
15.7%
520.0 1
 
< 0.1%
500.0 2
 
< 0.1%
480.0 1
 
< 0.1%
470.0 3
 
< 0.1%

과속방지턱연장
Real number (ℝ)

Distinct82
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.45646
Minimum4.3
Maximum2200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2024-03-13T08:54:36.636085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile6
Q1360
median360
Q3500
95-th percentile720
Maximum2200
Range2195.7
Interquartile range (IQR)140

Descriptive statistics

Standard deviation188.54464
Coefficient of variation (CV)0.45382527
Kurtosis4.5231719
Mean415.45646
Median Absolute Deviation (MAD)60
Skewness0.50740891
Sum2590371
Variance35549.08
MonotonicityNot monotonic
2024-03-13T08:54:36.741792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
360.0 2859
45.9%
500.0 1192
19.1%
600.0 548
 
8.8%
6.0 493
 
7.9%
720.0 276
 
4.4%
400.0 172
 
2.8%
300.0 148
 
2.4%
200.0 97
 
1.6%
700.0 87
 
1.4%
650.0 26
 
0.4%
Other values (72) 337
 
5.4%
ValueCountFrequency (%)
4.3 1
 
< 0.1%
4.4 1
 
< 0.1%
5.0 2
 
< 0.1%
5.4 5
 
0.1%
5.8 2
 
< 0.1%
6.0 493
7.9%
6.2 1
 
< 0.1%
6.3 5
 
0.1%
6.4 2
 
< 0.1%
6.5 3
 
< 0.1%
ValueCountFrequency (%)
2200.0 1
 
< 0.1%
1800.0 1
 
< 0.1%
1500.0 2
 
< 0.1%
1400.0 1
 
< 0.1%
1300.0 7
 
0.1%
1280.0 1
 
< 0.1%
1250.0 6
 
0.1%
1200.0 23
0.4%
1150.0 2
 
< 0.1%
1100.0 13
0.2%

도로유형구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
1
5035 
2
1200 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5035
80.8%
2 1200
 
19.2%

Length

2024-03-13T08:54:36.849291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:54:36.928298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5035
80.8%
2 1200
 
19.2%

규격여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
True
5819 
False
 
416
ValueCountFrequency (%)
True 5819
93.3%
False 416
 
6.7%
2024-03-13T08:54:36.996470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct2102
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.396545
Minimum37.027161
Maximum38.180656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2024-03-13T08:54:37.176887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.027161
5-th percentile37.264792
Q137.273823
median37.336756
Q337.399851
95-th percentile37.977882
Maximum38.180656
Range1.1534955
Interquartile range (IQR)0.12602799

Descriptive statistics

Standard deviation0.20209912
Coefficient of variation (CV)0.005404219
Kurtosis4.2405896
Mean37.396545
Median Absolute Deviation (MAD)0.06293261
Skewness2.2005888
Sum233167.46
Variance0.040844055
MonotonicityNot monotonic
2024-03-13T08:54:37.337111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3623695182 896
 
14.4%
37.2707132 224
 
3.6%
37.27132395 192
 
3.1%
37.27092803 128
 
2.1%
37.27184834 128
 
2.1%
37.29893402 112
 
1.8%
37.26834611 80
 
1.3%
37.27826706 64
 
1.0%
37.30001054 64
 
1.0%
37.27382319 64
 
1.0%
Other values (2092) 4283
68.7%
ValueCountFrequency (%)
37.02716071 1
< 0.1%
37.03394526 1
< 0.1%
37.03981488 1
< 0.1%
37.0400365 1
< 0.1%
37.04171009 1
< 0.1%
37.04284328 1
< 0.1%
37.04404032 1
< 0.1%
37.04534931 1
< 0.1%
37.049649 1
< 0.1%
37.06395838 1
< 0.1%
ValueCountFrequency (%)
38.18065622 1
 
< 0.1%
38.17603333 1
 
< 0.1%
38.17430062 1
 
< 0.1%
38.17417723 1
 
< 0.1%
38.15722236 1
 
< 0.1%
38.15606641 4
0.1%
38.15591544 1
 
< 0.1%
38.15591306 1
 
< 0.1%
38.15154518 1
 
< 0.1%
38.14768691 1
 
< 0.1%

경도
Real number (ℝ)

Distinct2114
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.02184
Minimum126.6729
Maximum127.42395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2024-03-13T08:54:37.482581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6729
5-th percentile126.78017
Q1126.93523
median127.03413
Q3127.05186
95-th percentile127.25871
Maximum127.42395
Range0.7510506
Interquartile range (IQR)0.11663111

Descriptive statistics

Standard deviation0.13637857
Coefficient of variation (CV)0.0010736624
Kurtosis0.20553026
Mean127.02184
Median Absolute Deviation (MAD)0.0545263
Skewness0.04028683
Sum791981.17
Variance0.018599115
MonotonicityNot monotonic
2024-03-13T08:54:37.605659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9352272862 896
 
14.4%
127.046886 224
 
3.6%
127.0518584 192
 
3.1%
127.0505616 128
 
2.1%
127.0473039 128
 
2.1%
127.0264864 112
 
1.8%
127.0391732 80
 
1.3%
127.0303909 64
 
1.0%
127.0370582 64
 
1.0%
127.0428289 64
 
1.0%
Other values (2104) 4283
68.7%
ValueCountFrequency (%)
126.6728976 1
< 0.1%
126.6740217 1
< 0.1%
126.6765683 1
< 0.1%
126.6780904 1
< 0.1%
126.6878403 1
< 0.1%
126.6878473 1
< 0.1%
126.687855 1
< 0.1%
126.6879945 1
< 0.1%
126.6881203 1
< 0.1%
126.6881384 1
< 0.1%
ValueCountFrequency (%)
127.4239482 1
< 0.1%
127.4063066 1
< 0.1%
127.4047009 2
< 0.1%
127.403733 1
< 0.1%
127.4036688 1
< 0.1%
127.3981473 2
< 0.1%
127.3981382 2
< 0.1%
127.3963371 2
< 0.1%
127.396159 1
< 0.1%
127.3956497 2
< 0.1%

보차분리여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
True
4065 
False
2170 
ValueCountFrequency (%)
True 4065
65.2%
False 2170
34.8%
2024-03-13T08:54:37.714327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

연속형여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
False
5383 
True
852 
ValueCountFrequency (%)
False 5383
86.3%
True 852
 
13.7%
2024-03-13T08:54:37.777548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

과속방지턱설치연도
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)1.7%
Missing5532
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean2018.2603
Minimum2009
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2024-03-13T08:54:37.854556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2010
Q12014
median2022
Q32022
95-th percentile2022
Maximum2022
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.7057828
Coefficient of variation (CV)0.0023316035
Kurtosis-1.1192202
Mean2018.2603
Median Absolute Deviation (MAD)0
Skewness-0.74175599
Sum1418837
Variance22.144391
MonotonicityNot monotonic
2024-03-13T08:54:37.944313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2022 381
 
6.1%
2010 96
 
1.5%
2018 47
 
0.8%
2015 46
 
0.7%
2012 43
 
0.7%
2013 22
 
0.4%
2020 18
 
0.3%
2014 17
 
0.3%
2017 17
 
0.3%
2021 10
 
0.2%
Other values (2) 6
 
0.1%
(Missing) 5532
88.7%
ValueCountFrequency (%)
2009 3
 
< 0.1%
2010 96
1.5%
2011 3
 
< 0.1%
2012 43
0.7%
2013 22
 
0.4%
2014 17
 
0.3%
2015 46
0.7%
2017 17
 
0.3%
2018 47
0.8%
2020 18
 
0.3%
ValueCountFrequency (%)
2022 381
6.1%
2021 10
 
0.2%
2020 18
 
0.3%
2018 47
 
0.8%
2017 17
 
0.3%
2015 46
 
0.7%
2014 17
 
0.3%
2013 22
 
0.4%
2012 43
 
0.7%
2011 3
 
< 0.1%

관리기관명
Categorical

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
수원시 영통구 건설과
1312 
수원시 장안구 건설과
992 
군포시청건설과
896 
경기도 시흥시청
798 
경기도 하남시
431 
Other values (10)
1806 

Length

Max length11
Median length9
Mean length8.6596632
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광명시 도시교통과
2nd row광명시 도시교통과
3rd row광명시 도시교통과
4th row광명시 도시교통과
5th row광명시 도시교통과

Common Values

ValueCountFrequency (%)
수원시 영통구 건설과 1312
21.0%
수원시 장안구 건설과 992
15.9%
군포시청건설과 896
14.4%
경기도 시흥시청 798
12.8%
경기도 하남시 431
 
6.9%
경기도 광주시청 380
 
6.1%
수원시 팔달구 건설과 352
 
5.6%
연천군 294
 
4.7%
수원시 권선구 건설과 288
 
4.6%
포천시 247
 
4.0%
Other values (5) 245
 
3.9%

Length

2024-03-13T08:54:38.059012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 2944
21.4%
건설과 2944
21.4%
경기도 1644
11.9%
영통구 1312
9.5%
장안구 992
 
7.2%
군포시청건설과 896
 
6.5%
시흥시청 798
 
5.8%
하남시 431
 
3.1%
광주시청 380
 
2.8%
팔달구 352
 
2.6%
Other values (9) 1087
 
7.9%

관리기관전화번호
Categorical

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
031-228-8964
1312 
031-228-5502
992 
031-390-0487
896 
031-310-2436
798 
031-790-5821
403 
Other values (11)
1834 

Length

Max length13
Median length12
Mean length12.022133
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2680-2918
2nd row02-2680-2918
3rd row02-2680-2918
4th row02-2680-2918
5th row02-2680-2918

Common Values

ValueCountFrequency (%)
031-228-8964 1312
21.0%
031-228-5502 992
15.9%
031-390-0487 896
14.4%
031-310-2436 798
12.8%
031-790-5821 403
 
6.5%
031-760-4867 380
 
6.1%
031-228-7468 352
 
5.6%
031-839-2372 294
 
4.7%
031-228-6487 288
 
4.6%
031-538-3461 247
 
4.0%
Other values (6) 273
 
4.4%

Length

2024-03-13T08:54:38.163049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-228-8964 1312
21.0%
031-228-5502 992
15.9%
031-390-0487 896
14.4%
031-310-2436 798
12.8%
031-790-5821 403
 
6.5%
031-760-4867 380
 
6.1%
031-228-7468 352
 
5.6%
031-839-2372 294
 
4.7%
031-228-6487 288
 
4.6%
031-538-3461 247
 
4.0%
Other values (6) 273
 
4.4%

데이터기준일자
Date

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
Minimum2020-01-20 00:00:00
Maximum2024-02-26 00:00:00
2024-03-13T08:54:38.245821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:54:38.332476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

Sample

과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부과속방지턱설치연도관리기관명관리기관전화번호데이터기준일자
02018-01-01경기도광명시영당로경기도 광명시 영당로 18경기도 광명시 소하동 937-2번지도로117.5360.0800.01Y37.434859126.877661YN2018광명시 도시교통과02-2680-29182022-08-03
12018-02-01경기도광명시자경로경기도 광명시 자경로 19경기도 광명시 일직동 502-1번지도로117.5360.0700.01Y37.422102126.891917YN2018광명시 도시교통과02-2680-29182022-08-03
22018-03-01경기도광명시덕단이로경기도 광명시 덕단이로 9경기도 광명시 광명동 747-16번지 명보빌라도로117.5360.0600.01Y37.467219126.848843NY2018광명시 도시교통과02-2680-29182022-08-03
32018-04-01경기도광명시덕단이로경기도 광명시 덕단이로 13경기도 광명시 광명동 746-15번지 제일빌라도로117.5360.0600.01Y37.46706126.849229NY2018광명시 도시교통과02-2680-29182022-08-03
42018-05-01경기도광명시광명로 887번길경기도 광명시 광명로887번길 33경기도 광명시 광명동 180-7번지 한국맨션도로117.5360.0700.01Y37.47934126.850188NN2018광명시 도시교통과02-2680-29182022-08-03
52018-06-01경기도광명시오리로949번길경기도 광명시 오리로949번길 24경기도 광명시 광명동 158-457번지도로117.5360.0640.01Y37.476501126.856433NN2018광명시 도시교통과02-2680-29182022-08-03
62018-07-01경기도광명시가락골길경기도 광명시 가락골길 34경기도 광명시 노온사동 187번지도로117.5360.0400.01Y37.451121126.848477NN2018광명시 도시교통과02-2680-29182022-08-03
72018-08-01경기도광명시농로경기도 광명시 장절로61번길 7경기도 광명시 노온사동 763-2번지도로117.5360.0300.01Y37.4287126.8513NN2018광명시 도시교통과02-2680-29182022-08-03
82018-09-01경기도광명시장절로경기도 광명시 장절로 14경기도 광명시 노온사동 933번지도로117.5360.0300.01Y37.426071126.847108NN2018광명시 도시교통과02-2680-29182022-08-03
92018-10-01경기도광명시가학로경기도 광명시 가학로 7경기도 광명시 가학동 478-6번지도로117.5360.0570.01Y37.417105126.850525NN2018광명시 도시교통과02-2680-29182022-08-03
과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부과속방지턱설치연도관리기관명관리기관전화번호데이터기준일자
6225<NA>경기도화성시해당없음<NA>경기도 화성시 매송면 어천리 223농도 303호선117.53.66.01Y37.253933126.919628NN<NA>화성시청031-5189-69512024-01-15
6226<NA>경기도화성시해당없음<NA>경기도 화성시 남양읍 신외리 631-2시도 19호선117.53.66.01Y37.266872126.816694NN<NA>화성시청031-5189-69512024-01-15
6227<NA>경기도화성시해당없음<NA>경기도 화성시 마도면 석교리 243-2리도 201호선117.53.66.01Y37.205014126.770216NN<NA>화성시청031-5189-69512024-01-15
6228<NA>경기도화성시해당없음<NA>경기도 화성시 서신면 상안리 879-11도시계획도로117.53.66.01Y37.168665126.701506NN<NA>화성시청031-5189-69512024-01-15
6229<NA>경기도화성시해당없음<NA>경기도 화성시 마도면 청원리 228-38리도205호선117.53.66.01Y37.187239126.762089NN<NA>화성시청031-5189-69512024-01-15
6230<NA>경기도화성시해당없음<NA>경기도 화성시 장안면 노진리 949비법정도로117.53.66.01Y37.04404126.814756NN<NA>화성시청031-5189-69512024-01-15
6231<NA>경기도화성시해당없음경기도 화성시 송산면 마도북로 40경기도 화성시 송산면 봉가리 473-1번지리도 206호선117.53.66.01Y37.209136126.739196NN<NA>화성시청031-5189-69512024-01-15
6232<NA>경기도화성시해당없음<NA>경기도 화성시 향남읍 증거리 196-1리도 209호선117.53.66.01Y37.1395126.977288NN<NA>화성시청031-5189-69512024-01-15
6233<NA>경기도화성시해당없음<NA>경기도 화성시 장안면 독정리 493-2도시계획도로117.53.66.01Y37.071731126.853359NN<NA>화성시청031-5189-69512024-01-15
6234<NA>경기도화성시해당없음경기도 화성시 우정읍 조암북로19번길 25-5경기도 화성시 우정읍 조암리 205-12번지도시계획도로117.53.66.01Y37.087394126.817849NN<NA>화성시청031-5189-69512024-01-15

Duplicate rows

Most frequently occurring

과속방지턱관리번호시도명시군구명도로명소재지도로명주소소재지지번주소설치장소과속방지턱재료과속방지턱형태구분과속방지턱높이과속방지턱폭과속방지턱연장도로유형구분규격여부위도경도보차분리여부연속형여부과속방지턱설치연도관리기관명관리기관전화번호데이터기준일자# duplicates
01경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 70-1광교산 마루화원1110.0600.0360.01Y37.333729127.016784YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
110경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 144-1광교산로1110.0600.0360.01Y37.327179127.014785YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
2211경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 144-1광교산로1110.0600.0360.01Y37.327179127.014785YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
35116경기도수원시중부대로경기도 수원시 영통구 중부대로 320-1경기도 수원시 영통구 매탄동 105-6중부대로1110.0760.0360.01Y37.273258127.050808YN<NA>수원시 영통구 건설과031-228-89642023-01-0616
4212경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 200-2광교산로1110.0600.0360.01Y37.326062127.014887YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
6313경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 200-7광교산로1110.0600.0360.01Y37.325152127.015146YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
66131경기도수원시동수원로경기도 수원시 영통구 동수원로 520-1경기도 수원시 영통구 매탄동 910동수원로1110.0760.0360.01Y37.273101127.047459YN<NA>수원시 영통구 건설과031-228-89642023-01-0616
8314경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 409-35광교산로1110.0600.0360.01Y37.323259127.015507YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
10415경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 429광교산로1110.0600.0360.01Y37.322313127.015507YN<NA>수원시 장안구 건설과031-228-55022023-01-0616
12516경기도수원시광교산로<NA>경기도 수원시 장안구 상광교동 218-5광교산로1110.0600.0360.01Y37.322088127.015586YN<NA>수원시 장안구 건설과031-228-55022023-01-0616