Overview

Dataset statistics

Number of variables29
Number of observations183
Missing cells208
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.4 KiB
Average record size in memory242.7 B

Variable types

Text2
Categorical13
Numeric9
DateTime2
Boolean3

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15028202/standard.do

Alerts

보행자사망사고건수 is highly imbalanced (67.5%)Imbalance
교통안내시설 is highly imbalanced (57.5%)Imbalance
보행안전시설 is highly imbalanced (58.7%)Imbalance
보행약자지원시설 is highly imbalanced (68.8%)Imbalance
보행자편익시설 is highly imbalanced (78.2%)Imbalance
보행자우선도로지정일자 has 54 (29.5%) missing valuesMissing
보행자교통사고발생건수 has 154 (84.2%) missing valuesMissing
자동차운행속도제한속도 has 11 (6.0%) zerosZeros
보행자교통사고발생건수 has 15 (8.2%) zerosZeros

Reproduction

Analysis started2024-05-11 10:04:29.971025
Analysis finished2024-05-11 10:04:31.038262
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

보행자우선도로명
Text

Distinct159
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T10:04:31.416924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length9.6939891
Min length3

Characters and Unicode

Total characters1774
Distinct characters175
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

Unique143 ?
Unique (%)78.1%

Sample

1st row거안1길
2nd row광진 능동로17길
3rd row광진 군자로
4th row광진 군자로3길
5th row광진 동일로52길
ValueCountFrequency (%)
광진 21
 
6.6%
보행자우선도로 17
 
5.3%
강남구 6
 
1.9%
서대문 6
 
1.9%
서울특별시 6
 
1.9%
금천구 6
 
1.9%
시흥대로 6
 
1.9%
해운대로608번길 5
 
1.6%
부산광역시 5
 
1.6%
어린이보호구역 4
 
1.2%
Other values (195) 238
74.4%
2024-05-11T10:04:32.462061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 176
 
9.9%
길 148
 
8.3%
137
 
7.7%
1 71
 
4.0%
2 67
 
3.8%
5 47
 
2.6%
3 37
 
2.1%
대 32
 
1.8%
서 30
 
1.7%
구 29
 
1.6%
Other values (165) 1000
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1261
71.1%
Decimal Number 328
 
18.5%
Space Separator 137
 
7.7%
Close Punctuation 15
 
0.8%
Open Punctuation 15
 
0.8%
Math Symbol 14
 
0.8%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 176
 
14.0%
길 148
 
11.7%
대 32
 
2.5%
서 30
 
2.4%
구 29
 
2.3%
광 28
 
2.2%
자 26
 
2.1%
동 25
 
2.0%
진 25
 
2.0%
보 25
 
2.0%
Other values (149) 717
56.9%
Decimal Number
ValueCountFrequency (%)
1 71
21.6%
2 67
20.4%
5 47
14.3%
3 37
11.3%
7 22
 
6.7%
0 21
 
6.4%
4 19
 
5.8%
6 17
 
5.2%
8 15
 
4.6%
9 12
 
3.7%
Math Symbol
ValueCountFrequency (%)
~ 12
85.7%
+ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1261
71.1%
Common 513
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 176
 
14.0%
길 148
 
11.7%
대 32
 
2.5%
서 30
 
2.4%
구 29
 
2.3%
광 28
 
2.2%
자 26
 
2.1%
동 25
 
2.0%
진 25
 
2.0%
보 25
 
2.0%
Other values (149) 717
56.9%
Common
ValueCountFrequency (%)
137
26.7%
1 71
13.8%
2 67
13.1%
5 47
 
9.2%
3 37
 
7.2%
7 22
 
4.3%
0 21
 
4.1%
4 19
 
3.7%
6 17
 
3.3%
8 15
 
2.9%
Other values (6) 60
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1261
71.1%
ASCII 513
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 176
 
14.0%
길 148
 
11.7%
대 32
 
2.5%
서 30
 
2.4%
구 29
 
2.3%
광 28
 
2.2%
자 26
 
2.1%
동 25
 
2.0%
진 25
 
2.0%
보 25
 
2.0%
Other values (149) 717
56.9%
ASCII
ValueCountFrequency (%)
137
26.7%
1 71
13.8%
2 67
13.1%
5 47
 
9.2%
3 37
 
7.2%
7 22
 
4.3%
0 21
 
4.1%
4 19
 
3.7%
6 17
 
3.3%
8 15
 
2.9%
Other values (6) 60
11.7%

시도명
Categorical

Distinct11
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
서울특별시
98 
부산광역시
33 
충청북도
24 
전라북도
12 
대전광역시
 
5
Other values (6)
11 

Length

Max length7
Median length5
Mean length4.7650273
Min length3

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row충청북도
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 98
53.6%
부산광역시 33
 
18.0%
충청북도 24
 
13.1%
전라북도 12
 
6.6%
대전광역시 5
 
2.7%
경상남도 3
 
1.6%
인천광역시 3
 
1.6%
충청남도 2
 
1.1%
강원특별자치도 1
 
0.5%
경기도 1
 
0.5%

Length

2024-05-11T10:04:33.061885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 98
53.6%
부산광역시 33
 
18.0%
충청북도 24
 
13.1%
전라북도 12
 
6.6%
대전광역시 5
 
2.7%
경상남도 3
 
1.6%
인천광역시 3
 
1.6%
충청남도 2
 
1.1%
강원특별자치도 1
 
0.5%
경기도 1
 
0.5%

시군구명
Categorical

Distinct33
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
진천군
23 
광진구
21 
은평구
13 
강서구
12 
연제구
12 
Other values (28)
102 

Length

Max length4
Median length3
Mean length3.0601093
Min length2

Unique

Unique6 ?
Unique (%)3.3%

Sample

1st row진천군
2nd row광진구
3rd row광진구
4th row광진구
5th row광진구

Common Values

ValueCountFrequency (%)
진천군 23
 
12.6%
광진구 21
 
11.5%
은평구 13
 
7.1%
강서구 12
 
6.6%
연제구 12
 
6.6%
남원시 10
 
5.5%
해운대구 9
 
4.9%
관악구 8
 
4.4%
구로구 7
 
3.8%
금천구 6
 
3.3%
Other values (23) 62
33.9%

Length

2024-05-11T10:04:33.554324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진천군 23
 
12.6%
광진구 21
 
11.5%
은평구 13
 
7.1%
강서구 12
 
6.6%
연제구 12
 
6.6%
남원시 10
 
5.5%
해운대구 9
 
4.9%
관악구 8
 
4.4%
구로구 7
 
3.8%
강남구 6
 
3.3%
Other values (23) 62
33.9%

보행자우선도로시작점위도
Real number (ℝ)

Distinct176
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.807758
Minimum35.060347
Maximum37.8741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:34.292158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.060347
5-th percentile35.159464
Q135.433098
median37.479646
Q337.547029
95-th percentile37.618053
Maximum37.8741
Range2.8137525
Interquartile range (IQR)2.1139314

Descriptive statistics

Standard deviation0.98825776
Coefficient of variation (CV)0.02684917
Kurtosis-1.0492469
Mean36.807758
Median Absolute Deviation (MAD)0.13533773
Skewness-0.85434088
Sum6735.8197
Variance0.9766534
MonotonicityNot monotonic
2024-05-11T10:04:34.868648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.40305279 2
 
1.1%
35.43309771 2
 
1.1%
37.8741 2
 
1.1%
35.40628851 2
 
1.1%
35.4049457 2
 
1.1%
35.40498916 2
 
1.1%
35.40429278 2
 
1.1%
36.779482 1
 
0.5%
37.537505 1
 
0.5%
37.535994 1
 
0.5%
Other values (166) 166
90.7%
ValueCountFrequency (%)
35.0603475 1
0.5%
35.06173793 1
0.5%
35.09884775 1
0.5%
35.09907879 1
0.5%
35.133302 1
0.5%
35.134351 1
0.5%
35.136055 1
0.5%
35.155329 1
0.5%
35.156446 1
0.5%
35.159347 1
0.5%
ValueCountFrequency (%)
37.8741 2
1.1%
37.62164882 1
0.5%
37.61983308 1
0.5%
37.61937889 1
0.5%
37.61927285 1
0.5%
37.61911641 1
0.5%
37.61845922 1
0.5%
37.61815075 1
0.5%
37.61808044 1
0.5%
37.61780706 1
0.5%

보행자우선도로시작점경도
Real number (ℝ)

Distinct175
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.48449
Minimum126.44878
Maximum129.15943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:35.381493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.44878
5-th percentile126.83194
Q1126.91927
median127.07818
Q3127.53199
95-th percentile129.11246
Maximum129.15943
Range2.710651
Interquartile range (IQR)0.6127166

Descriptive statistics

Standard deviation0.82189895
Coefficient of variation (CV)0.0064470508
Kurtosis-0.043695986
Mean127.48449
Median Absolute Deviation (MAD)0.2393977
Skewness1.241187
Sum23329.661
Variance0.67551788
MonotonicityNot monotonic
2024-05-11T10:04:36.001752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3808803 2
 
1.1%
126.695888 2
 
1.1%
126.936241 2
 
1.1%
127.7427 2
 
1.1%
127.380716 2
 
1.1%
127.3808167 2
 
1.1%
127.3807453 2
 
1.1%
127.3808626 2
 
1.1%
129.052965 1
 
0.5%
126.987335 1
 
0.5%
Other values (165) 165
90.2%
ValueCountFrequency (%)
126.448781 1
0.5%
126.467597 1
0.5%
126.695888 2
1.1%
126.735039 1
0.5%
126.752666 1
0.5%
126.753133 1
0.5%
126.8242 1
0.5%
126.826932 1
0.5%
126.8315532 1
0.5%
126.8353886 1
0.5%
ValueCountFrequency (%)
129.159432 1
0.5%
129.159032 1
0.5%
129.158715 1
0.5%
129.158382 1
0.5%
129.158045 1
0.5%
129.157953 1
0.5%
129.157952 1
0.5%
129.157805 1
0.5%
129.156843 1
0.5%
129.1153946 1
0.5%

보행자우선도로종료점위도
Real number (ℝ)

Distinct176
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.806419
Minimum35.060344
Maximum37.8727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:36.518443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.060344
5-th percentile35.157885
Q135.419018
median37.479248
Q337.547233
95-th percentile37.618958
Maximum37.8727
Range2.8123562
Interquartile range (IQR)2.1282151

Descriptive statistics

Standard deviation0.99244894
Coefficient of variation (CV)0.026964018
Kurtosis-1.0602563
Mean36.806419
Median Absolute Deviation (MAD)0.13611109
Skewness-0.8555446
Sum6735.5746
Variance0.98495489
MonotonicityNot monotonic
2024-05-11T10:04:37.154879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.40314529 2
 
1.1%
35.43302084 2
 
1.1%
37.8727 2
 
1.1%
35.40501589 2
 
1.1%
35.4026071 2
 
1.1%
35.40485879 2
 
1.1%
35.40431838 2
 
1.1%
36.777312 1
 
0.5%
37.538818 1
 
0.5%
37.5351798 1
 
0.5%
Other values (166) 166
90.7%
ValueCountFrequency (%)
35.06034383 1
0.5%
35.06150468 1
0.5%
35.09771152 1
0.5%
35.09933107 1
0.5%
35.134066 1
0.5%
35.135745 1
0.5%
35.136483 1
0.5%
35.154566 1
0.5%
35.1547507 1
0.5%
35.157882 1
0.5%
ValueCountFrequency (%)
37.8727 2
1.1%
37.62254159 1
0.5%
37.62009041 1
0.5%
37.61979101 1
0.5%
37.61978358 1
0.5%
37.61957057 1
0.5%
37.61941825 1
0.5%
37.61922408 1
0.5%
37.6189769 1
0.5%
37.6187904 1
0.5%

보행자우선도로종료점경도
Real number (ℝ)

Distinct176
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.48488
Minimum126.44914
Maximum129.16062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:37.722989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.44914
5-th percentile126.83005
Q1126.91992
median127.07552
Q3127.53372
95-th percentile129.11549
Maximum129.16062
Range2.711474
Interquartile range (IQR)0.6138012

Descriptive statistics

Standard deviation0.82200405
Coefficient of variation (CV)0.0064478554
Kurtosis-0.041904778
Mean127.48488
Median Absolute Deviation (MAD)0.231991
Skewness1.2425321
Sum23329.732
Variance0.67569066
MonotonicityNot monotonic
2024-05-11T10:04:38.306401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3819945 2
 
1.1%
126.7012008 2
 
1.1%
127.7466 2
 
1.1%
127.3807049 2
 
1.1%
127.380855 2
 
1.1%
127.3849055 2
 
1.1%
127.382399 2
 
1.1%
126.449144 1
 
0.5%
126.988763 1
 
0.5%
126.988202 1
 
0.5%
Other values (166) 166
90.7%
ValueCountFrequency (%)
126.449144 1
0.5%
126.465059 1
0.5%
126.7012008 2
1.1%
126.737605 1
0.5%
126.756959 1
0.5%
126.757419 1
0.5%
126.825446 1
0.5%
126.82668 1
0.5%
126.8294627 1
0.5%
126.8353642 1
0.5%
ValueCountFrequency (%)
129.160618 1
0.5%
129.160194 1
0.5%
129.159857 1
0.5%
129.159547 1
0.5%
129.159327 1
0.5%
129.159222 1
0.5%
129.159094 1
0.5%
129.158123 1
0.5%
129.158117 1
0.5%
129.1186311 1
0.5%

보행자우선도로지정일자
Date

MISSING 

Distinct50
Distinct (%)38.8%
Missing54
Missing (%)29.5%
Memory size1.6 KiB
Minimum2014-09-22 00:00:00
Maximum2023-10-13 00:00:00
2024-05-11T10:04:38.798371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:04:39.386696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연장거리
Real number (ℝ)

Distinct88
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339.0765
Minimum40
Maximum3500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:40.015662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile55.1
Q1120
median200
Q3375
95-th percentile963
Maximum3500
Range3460
Interquartile range (IQR)255

Descriptive statistics

Standard deviation461.29982
Coefficient of variation (CV)1.3604594
Kurtosis25.211851
Mean339.0765
Median Absolute Deviation (MAD)100
Skewness4.5079839
Sum62051
Variance212797.52
MonotonicityNot monotonic
2024-05-11T10:04:40.546739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 11
 
6.0%
500 7
 
3.8%
300 6
 
3.3%
200 6
 
3.3%
220 6
 
3.3%
400 5
 
2.7%
110 5
 
2.7%
180 5
 
2.7%
260 4
 
2.2%
120 4
 
2.2%
Other values (78) 124
67.8%
ValueCountFrequency (%)
40 3
1.6%
46 1
 
0.5%
47 1
 
0.5%
50 3
1.6%
55 2
1.1%
56 1
 
0.5%
60 3
1.6%
68 1
 
0.5%
70 2
1.1%
80 4
2.2%
ValueCountFrequency (%)
3500 2
1.1%
2200 1
0.5%
1800 1
0.5%
1643 1
0.5%
1600 1
0.5%
1500 1
0.5%
1300 1
0.5%
1142 1
0.5%
970 1
0.5%
900 1
0.5%

도로폭
Real number (ℝ)

Distinct25
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.945355
Minimum3.8
Maximum6115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:40.956284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5
Q16
median6
Q38
95-th percentile11.8
Maximum6115
Range6111.2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation455.06774
Coefficient of variation (CV)10.124911
Kurtosis176.76344
Mean44.945355
Median Absolute Deviation (MAD)1
Skewness13.209926
Sum8225
Variance207086.65
MonotonicityNot monotonic
2024-05-11T10:04:41.366925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6.0 70
38.3%
8.0 41
22.4%
10.0 13
 
7.1%
7.0 12
 
6.6%
5.0 9
 
4.9%
7.5 6
 
3.3%
15.0 3
 
1.6%
4.0 3
 
1.6%
12.0 3
 
1.6%
5.1 2
 
1.1%
Other values (15) 21
 
11.5%
ValueCountFrequency (%)
3.8 1
 
0.5%
4.0 3
 
1.6%
4.5 2
 
1.1%
5.0 9
 
4.9%
5.1 2
 
1.1%
5.5 1
 
0.5%
5.7 2
 
1.1%
5.9 2
 
1.1%
6.0 70
38.3%
6.5 2
 
1.1%
ValueCountFrequency (%)
6115.0 1
 
0.5%
810.0 1
 
0.5%
18.0 1
 
0.5%
15.0 3
 
1.6%
14.0 1
 
0.5%
12.0 3
 
1.6%
10.0 13
7.1%
9.6 1
 
0.5%
9.5 1
 
0.5%
8.8 1
 
0.5%

보행자우선도로지정목적
Categorical

Distinct29
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
보행환경개선
33 
보행자의 안전과 편의 우선
13 
상가밀집지역 보행안전
13 
안전 확보
12 
교통사고 예방 및 보행자 안전 확보
12 
Other values (24)
100 

Length

Max length87
Median length25
Mean length14.437158
Min length4

Unique

Unique6 ?
Unique (%)3.3%

Sample

1st row보행환경개선
2nd row상가밀집지역 보행안전
3rd row상가밀집지역 보행안전
4th row통학로 보행안전
5th row통학로 보행안전

Common Values

ValueCountFrequency (%)
보행환경개선 33
18.0%
보행자의 안전과 편의 우선 13
 
7.1%
상가밀집지역 보행안전 13
 
7.1%
안전 확보 12
 
6.6%
교통사고 예방 및 보행자 안전 확보 12
 
6.6%
보행자 중심의 쾌적한 도로환경 조성 10
 
5.5%
전통문화 환경보전 및 안전 확보 10
 
5.5%
안전한 보행환경 조성 10
 
5.5%
보행자 안전사고 예방 및 이용편의 증진 8
 
4.4%
통학로 보행안전 8
 
4.4%
Other values (19) 54
29.5%

Length

2024-05-11T10:04:41.900192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안전 50
 
7.3%
및 44
 
6.4%
확보 43
 
6.3%
보행자 37
 
5.4%
보행환경개선 35
 
5.1%
조성 25
 
3.7%
보행환경 21
 
3.1%
보행안전 21
 
3.1%
예방 20
 
2.9%
보행자의 19
 
2.8%
Other values (73) 369
53.9%

보호구역지정여부
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size315.0 B
False
144 
True
39 
ValueCountFrequency (%)
False 144
78.7%
True 39
 
21.3%
2024-05-11T10:04:42.195272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동차운행속도제한속도
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.530055
Minimum0
Maximum80
Zeros11
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:42.480550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median30
Q330
95-th percentile60
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.142834
Coefficient of variation (CV)0.45161971
Kurtosis0.79602544
Mean33.530055
Median Absolute Deviation (MAD)0
Skewness0.45759034
Sum6136
Variance229.30541
MonotonicityNot monotonic
2024-05-11T10:04:42.952843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
30 124
67.8%
60 34
 
18.6%
0 11
 
6.0%
20 10
 
5.5%
31 1
 
0.5%
32 1
 
0.5%
33 1
 
0.5%
80 1
 
0.5%
ValueCountFrequency (%)
0 11
 
6.0%
20 10
 
5.5%
30 124
67.8%
31 1
 
0.5%
32 1
 
0.5%
33 1
 
0.5%
60 34
 
18.6%
80 1
 
0.5%
ValueCountFrequency (%)
80 1
 
0.5%
60 34
 
18.6%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 124
67.8%
20 10
 
5.5%
0 11
 
6.0%

일방통행적용여부
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size315.0 B
False
146 
True
37 
ValueCountFrequency (%)
False 146
79.8%
True 37
 
20.2%
2024-05-11T10:04:43.373623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

통행제한차량
Categorical

Distinct8
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
없음
128 
N
16 
제한없음
13 
해당사항 없음
 
12
해당없음
 
7
Other values (3)
 
7

Length

Max length7
Median length2
Mean length2.5956284
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 128
69.9%
N 16
 
8.7%
제한없음 13
 
7.1%
해당사항 없음 12
 
6.6%
해당없음 7
 
3.8%
대형차+화물차 3
 
1.6%
대형화물차량 2
 
1.1%
대형차 2
 
1.1%

Length

2024-05-11T10:04:43.813871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:44.258308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 140
71.8%
n 16
 
8.2%
제한없음 13
 
6.7%
해당사항 12
 
6.2%
해당없음 7
 
3.6%
대형차+화물차 3
 
1.5%
대형화물차량 2
 
1.0%
대형차 2
 
1.0%

노상주차허용여부
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size315.0 B
False
153 
True
30 
ValueCountFrequency (%)
False 153
83.6%
True 30
 
16.4%
2024-05-11T10:04:44.615252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보행자통행유발시설현황
Text

Distinct56
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T10:04:45.199527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.1693989
Min length1

Characters and Unicode

Total characters946
Distinct characters108
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)17.5%

Sample

1st row없음
2nd row지하철역+먹자골목
3rd row지하철역+먹자골목
4th row학교
5th row학교
ValueCountFrequency (%)
학교 25
 
12.0%
편의시설 19
 
9.1%
없음 15
 
7.2%
등 14
 
6.7%
상가밀집 12
 
5.7%
지하철역+먹자골목 11
 
5.3%
문화관광시설 10
 
4.8%
주택가 9
 
4.3%
상가 7
 
3.3%
문화관광시설+편의시설 6
 
2.9%
Other values (48) 81
38.8%
2024-05-11T10:04:46.342639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 59
 
6.2%
설 56
 
5.9%
+ 48
 
5.1%
교 41
 
4.3%
학 40
 
4.2%
가 36
 
3.8%
상 30
 
3.2%
역 28
 
3.0%
편 28
 
3.0%
의 28
 
3.0%
Other values (98) 552
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 870
92.0%
Math Symbol 48
 
5.1%
Space Separator 26
 
2.7%
Decimal Number 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 59
 
6.8%
설 56
 
6.4%
교 41
 
4.7%
학 40
 
4.6%
가 36
 
4.1%
상 30
 
3.4%
역 28
 
3.2%
편 28
 
3.2%
의 28
 
3.2%
등 21
 
2.4%
Other values (94) 503
57.8%
Math Symbol
ValueCountFrequency (%)
+ 48
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 870
92.0%
Common 75
 
7.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 59
 
6.8%
설 56
 
6.4%
교 41
 
4.7%
학 40
 
4.6%
가 36
 
4.1%
상 30
 
3.4%
역 28
 
3.2%
편 28
 
3.2%
의 28
 
3.2%
등 21
 
2.4%
Other values (94) 503
57.8%
Common
ValueCountFrequency (%)
+ 48
64.0%
26
34.7%
7 1
 
1.3%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 870
92.0%
ASCII 76
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 59
 
6.8%
설 56
 
6.4%
교 41
 
4.7%
학 40
 
4.6%
가 36
 
4.1%
상 30
 
3.4%
역 28
 
3.2%
편 28
 
3.2%
의 28
 
3.2%
등 21
 
2.4%
Other values (94) 503
57.8%
ASCII
ValueCountFrequency (%)
+ 48
63.2%
26
34.2%
7 1
 
1.3%
N 1
 
1.3%

보행자교통사고발생건수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)31.0%
Missing154
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean11.586207
Minimum0
Maximum111
Zeros15
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:46.790012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile73.4
Maximum111
Range111
Interquartile range (IQR)8

Descriptive statistics

Standard deviation28.16852
Coefficient of variation (CV)2.4312115
Kurtosis10.404342
Mean11.586207
Median Absolute Deviation (MAD)0
Skewness3.3282408
Sum336
Variance793.46552
MonotonicityNot monotonic
2024-05-11T10:04:47.064355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 15
 
8.2%
17 3
 
1.6%
111 2
 
1.1%
1 2
 
1.1%
6 2
 
1.1%
7 2
 
1.1%
8 1
 
0.5%
14 1
 
0.5%
13 1
 
0.5%
(Missing) 154
84.2%
ValueCountFrequency (%)
0 15
8.2%
1 2
 
1.1%
6 2
 
1.1%
7 2
 
1.1%
8 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
17 3
 
1.6%
111 2
 
1.1%
ValueCountFrequency (%)
111 2
 
1.1%
17 3
 
1.6%
14 1
 
0.5%
13 1
 
0.5%
8 1
 
0.5%
7 2
 
1.1%
6 2
 
1.1%
1 2
 
1.1%
0 15
8.2%

보행자사망사고건수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
154 
0
25 
2
 
2
13
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.5300546
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 154
84.2%
0 25
 
13.7%
2 2
 
1.1%
13 1
 
0.5%
1 1
 
0.5%

Length

2024-05-11T10:04:47.608417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:48.003305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
84.2%
0 25
 
13.7%
2 2
 
1.1%
13 1
 
0.5%
1 1
 
0.5%

속도저감시설
Categorical

Distinct21
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
106 
디자인 도막포장
21 
스텐실포장
12 
과속방지턱
 
10
보행친화적도로포장
 
9
Other values (16)
25 

Length

Max length18
Median length4
Mean length5.5901639
Min length1

Unique

Unique9 ?
Unique (%)4.9%

Sample

1st row<NA>
2nd row디자인 도막포장
3rd row디자인 도막포장
4th row디자인 도막포장
5th row디자인 도막포장

Common Values

ValueCountFrequency (%)
<NA> 106
57.9%
디자인 도막포장 21
 
11.5%
스텐실포장 12
 
6.6%
과속방지턱 10
 
5.5%
보행친화적도로포장 9
 
4.9%
고원식횡단보도 4
 
2.2%
고원식횡단보도+도로 스템프포장 2
 
1.1%
과속방지턱(4개소) 2
 
1.1%
교차로 디자인 2
 
1.1%
노면시설 2
 
1.1%
Other values (11) 13
 
7.1%

Length

2024-05-11T10:04:48.463279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 106
50.0%
디자인 23
 
10.8%
도막포장 21
 
9.9%
스텐실포장 12
 
5.7%
과속방지턱 11
 
5.2%
보행친화적도로포장 9
 
4.2%
고원식횡단보도 4
 
1.9%
노면시설 2
 
0.9%
과속방지턱(2개소 2
 
0.9%
스템프포장+과속방지턱 2
 
0.9%
Other values (14) 20
 
9.4%

교통안내시설
Categorical

IMBALANCE 

Distinct16
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
136 
표지판+노면표시
 
12
안내표지
 
8
보행자 우선도로 표지판
 
4
보행자 우선도로 알림 표지판 등
 
4
Other values (11)
19 

Length

Max length19
Median length4
Mean length5.2131148
Min length1

Unique

Unique5 ?
Unique (%)2.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 136
74.3%
표지판+노면표시 12
 
6.6%
안내표지 8
 
4.4%
보행자 우선도로 표지판 4
 
2.2%
보행자 우선도로 알림 표지판 등 4
 
2.2%
보행자안내표지판 3
 
1.6%
표지판 3
 
1.6%
도막포장 2
 
1.1%
보행자우선도로표지판 2
 
1.1%
발광형교통표지판 2
 
1.1%
Other values (6) 7
 
3.8%

Length

2024-05-11T10:04:48.936265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 136
65.7%
표지판+노면표시 12
 
5.8%
표지판 11
 
5.3%
안내표지 8
 
3.9%
보행자 8
 
3.9%
우선도로 8
 
3.9%
알림 4
 
1.9%
등 4
 
1.9%
보행자안내표지판 3
 
1.4%
발광형교통표지판 2
 
1.0%
Other values (8) 11
 
5.3%

보행안전시설
Categorical

IMBALANCE 

Distinct9
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
142 
표지판(보행자 우선도로 시작/해제 표지판)
 
12
스텐실포장
 
12
보행자우선도로 조성
 
9
CCTV+방호울타리
 
2
Other values (4)
 
6

Length

Max length23
Median length4
Mean length5.7595628
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 142
77.6%
표지판(보행자 우선도로 시작/해제 표지판) 12
 
6.6%
스텐실포장 12
 
6.6%
보행자우선도로 조성 9
 
4.9%
CCTV+방호울타리 2
 
1.1%
규제봉+볼라드 2
 
1.1%
과속방지턱 2
 
1.1%
CCTV 1
 
0.5%
CCTV+볼라드+지중등 1
 
0.5%

Length

2024-05-11T10:04:49.512486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:49.928952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
62.3%
표지판(보행자 12
 
5.3%
우선도로 12
 
5.3%
시작/해제 12
 
5.3%
표지판 12
 
5.3%
스텐실포장 12
 
5.3%
보행자우선도로 9
 
3.9%
조성 9
 
3.9%
cctv+방호울타리 2
 
0.9%
규제봉+볼라드 2
 
0.9%
Other values (3) 4
 
1.8%

보행약자지원시설
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
164 
보행친화적 도로포장
 
9
없음
 
8
벤치
 
2

Length

Max length10
Median length4
Mean length4.1857923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 164
89.6%
보행친화적 도로포장 9
 
4.9%
없음 8
 
4.4%
벤치 2
 
1.1%

Length

2024-05-11T10:04:50.526093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:50.940278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
85.4%
보행친화적 9
 
4.7%
도로포장 9
 
4.7%
없음 8
 
4.2%
벤치 2
 
1.0%

보행자편익시설
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
173 
없음
 
8
벤치
 
2

Length

Max length4
Median length4
Mean length3.8907104
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 173
94.5%
없음 8
 
4.4%
벤치 2
 
1.1%

Length

2024-05-11T10:04:51.513333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:04:52.017951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
94.5%
없음 8
 
4.4%
벤치 2
 
1.1%

관리기관명
Categorical

Distinct34
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
충청북도 진천군 지역개발과
23 
서울특별시 광진구
21 
서울특별시 은평구청
13 
부산광역시 연제구청
12 
서울특별시 강서구청
12 
Other values (29)
102 

Length

Max length16
Median length10
Mean length10.322404
Min length8

Unique

Unique8 ?
Unique (%)4.4%

Sample

1st row충청북도 진천군 지역개발과
2nd row서울특별시 광진구
3rd row서울특별시 광진구
4th row서울특별시 광진구
5th row서울특별시 광진구

Common Values

ValueCountFrequency (%)
충청북도 진천군 지역개발과 23
 
12.6%
서울특별시 광진구 21
 
11.5%
서울특별시 은평구청 13
 
7.1%
부산광역시 연제구청 12
 
6.6%
서울특별시 강서구청 12
 
6.6%
전라북도 남원시청 10
 
5.5%
부산광역시 해운대구청 9
 
4.9%
서울특별시 관악구청 8
 
4.4%
서울특별시 구로구청 7
 
3.8%
서울특별시 서대문구 6
 
3.3%
Other values (24) 62
33.9%

Length

2024-05-11T10:04:52.682942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 98
25.1%
부산광역시 33
 
8.5%
충청북도 24
 
6.2%
진천군 23
 
5.9%
지역개발과 23
 
5.9%
광진구 21
 
5.4%
은평구청 13
 
3.3%
연제구청 12
 
3.1%
강서구청 12
 
3.1%
전라북도 12
 
3.1%
Other values (36) 119
30.5%

관리기관전화번호
Categorical

Distinct39
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
043-539-3715
23 
02-450-7917
21 
02-351-7772
13 
02-2600-4136
12 
051-665-4552
12 
Other values (34)
102 

Length

Max length13
Median length12
Mean length11.693989
Min length11

Unique

Unique10 ?
Unique (%)5.5%

Sample

1st row043-539-3715
2nd row02-450-7917
3rd row02-450-7917
4th row02-450-7917
5th row02-450-7917

Common Values

ValueCountFrequency (%)
043-539-3715 23
 
12.6%
02-450-7917 21
 
11.5%
02-351-7772 13
 
7.1%
02-2600-4136 12
 
6.6%
051-665-4552 12
 
6.6%
063-620-6461 10
 
5.5%
02-860-2453 7
 
3.8%
02-330-1797 6
 
3.3%
02-3423-6407 6
 
3.3%
02-2627-1722 6
 
3.3%
Other values (29) 67
36.6%

Length

2024-05-11T10:04:53.563098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
043-539-3715 23
 
12.6%
02-450-7917 21
 
11.5%
02-351-7772 13
 
7.1%
02-2600-4136 12
 
6.6%
051-665-4552 12
 
6.6%
063-620-6461 10
 
5.5%
02-860-2453 7
 
3.8%
02-330-1797 6
 
3.3%
02-3423-6407 6
 
3.3%
02-2627-1722 6
 
3.3%
Other values (29) 67
36.6%

데이터기준일자
Date

Distinct30
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2021-11-01 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T10:04:54.171926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:04:54.784062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

제공기관코드
Real number (ℝ)

Distinct36
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3529655.7
Minimum3020000
Maximum5480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T10:04:55.355315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3020000
5-th percentile3040000
Q13120000
median3220000
Q33660000
95-th percentile4700900
Maximum5480000
Range2460000
Interquartile range (IQR)540000

Descriptive statistics

Standard deviation613990.66
Coefficient of variation (CV)0.173952
Kurtosis0.28539062
Mean3529655.7
Median Absolute Deviation (MAD)150000
Skewness1.2862201
Sum6.45927 × 108
Variance3.7698453 × 1011
MonotonicityNot monotonic
2024-05-11T10:04:56.010525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4450000 23
 
12.6%
3040000 21
 
11.5%
3110000 13
 
7.1%
3370000 12
 
6.6%
3150000 12
 
6.6%
3330000 9
 
4.9%
3200000 8
 
4.4%
3160000 7
 
3.8%
3120000 6
 
3.3%
3220000 6
 
3.3%
Other values (26) 66
36.1%
ValueCountFrequency (%)
3020000 3
 
1.6%
3030000 3
 
1.6%
3040000 21
11.5%
3060000 3
 
1.6%
3110000 13
7.1%
3120000 6
 
3.3%
3140000 4
 
2.2%
3150000 12
6.6%
3160000 7
 
3.8%
3170000 6
 
3.3%
ValueCountFrequency (%)
5480000 1
 
0.5%
5380000 1
 
0.5%
5350000 1
 
0.5%
4781000 1
 
0.5%
4780000 1
 
0.5%
4701000 5
 
2.7%
4700000 5
 
2.7%
4530000 2
 
1.1%
4450000 23
12.6%
4400000 1
 
0.5%

제공기관명
Categorical

Distinct36
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
충청북도 진천군
23 
서울특별시 광진구
21 
서울특별시 은평구
13 
부산광역시 연제구
12 
서울특별시 강서구
12 
Other values (31)
102 

Length

Max length11
Median length9
Mean length8.9234973
Min length7

Unique

Unique10 ?
Unique (%)5.5%

Sample

1st row충청북도 진천군
2nd row서울특별시 광진구
3rd row서울특별시 광진구
4th row서울특별시 광진구
5th row서울특별시 광진구

Common Values

ValueCountFrequency (%)
충청북도 진천군 23
 
12.6%
서울특별시 광진구 21
 
11.5%
서울특별시 은평구 13
 
7.1%
부산광역시 연제구 12
 
6.6%
서울특별시 강서구 12
 
6.6%
부산광역시 해운대구 9
 
4.9%
서울특별시 관악구 8
 
4.4%
서울특별시 구로구 7
 
3.8%
서울특별시 금천구 6
 
3.3%
서울특별시 강남구 6
 
3.3%
Other values (26) 66
36.1%

Length

2024-05-11T10:04:56.443913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 98
26.8%
부산광역시 33
 
9.0%
충청북도 24
 
6.6%
진천군 23
 
6.3%
광진구 21
 
5.7%
은평구 13
 
3.6%
연제구 12
 
3.3%
강서구 12
 
3.3%
남원시 10
 
2.7%
해운대구 9
 
2.5%
Other values (35) 111
30.3%

Sample

보행자우선도로명시도명시군구명보행자우선도로시작점위도보행자우선도로시작점경도보행자우선도로종료점위도보행자우선도로종료점경도보행자우선도로지정일자연장거리도로폭보행자우선도로지정목적보호구역지정여부자동차운행속도제한속도일방통행적용여부통행제한차량노상주차허용여부보행자통행유발시설현황보행자교통사고발생건수보행자사망사고건수속도저감시설교통안내시설보행안전시설보행약자지원시설보행자편익시설관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
0거안1길충청북도진천군36.907079127.52810836.907331127.527352<NA>4006.0보행환경개선N60N없음N없음<NA><NA><NA><NA><NA><NA><NA>충청북도 진천군 지역개발과043-539-37152024-01-024450000충청북도 진천군
1광진 능동로17길서울특별시광진구37.546711127.07191737.546831127.0703092021-12-311506.0상가밀집지역 보행안전N30N없음Y지하철역+먹자골목<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
2광진 군자로서울특별시광진구37.547907127.07043137.544947127.0711662021-12-313006.0상가밀집지역 보행안전N30N없음N지하철역+먹자골목<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
3광진 군자로3길서울특별시광진구37.544935127.07117437.544111127.0697632021-12-311506.0통학로 보행안전Y30N없음N학교<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
4광진 동일로52길서울특별시광진구37.554202127.07292437.554763127.0714352021-12-312006.0통학로 보행안전N30N없음N학교<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
5광진 동일로50길서울특별시광진구37.552943127.07221637.554653127.0711422021-12-312506.0통학로 보행안전Y30N없음N학교<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
6광진 광나루로19길서울특별시광진구37.547958127.07288237.549431127.0729712021-12-311706.0통학로 보행안전N30N없음Y학교<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
7광진 뚝섬로32길서울특별시광진구37.53359127.06652537.535529127.0674652022-12-152206.0상가밀집지역 보행안전N30N없음N상가<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
8광진 천호대로129길서울특별시광진구37.552398127.08967337.552767127.0908992023-06-291106.0상가밀집지역 보행안전N30N없음N상가<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
9광진 광나루로50길서울특별시광진구37.542609127.09421237.541846127.0929792023-06-291306.0통학로 보행안전N30N없음Y학교<NA><NA>디자인 도막포장<NA><NA><NA><NA>서울특별시 광진구02-450-79172024-03-013040000서울특별시 광진구
보행자우선도로명시도명시군구명보행자우선도로시작점위도보행자우선도로시작점경도보행자우선도로종료점위도보행자우선도로종료점경도보행자우선도로지정일자연장거리도로폭보행자우선도로지정목적보호구역지정여부자동차운행속도제한속도일방통행적용여부통행제한차량노상주차허용여부보행자통행유발시설현황보행자교통사고발생건수보행자사망사고건수속도저감시설교통안내시설보행안전시설보행약자지원시설보행자편익시설관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
173고분로13번길 5-20~반송로 18부산광역시연제구35.186984129.08302635.186573129.0830332022-07-13474.0교통사고 예방 및 보행자 안전 확보N30N해당사항 없음N편의시설 등00<NA>표지판+노면표시표지판(보행자 우선도로 시작/해제 표지판)<NA><NA>부산광역시 연제구청051-665-45522024-01-093370000부산광역시 연제구
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175고척로27바길서울특별시구로구37.506691126.84541137.507011126.8464112022-12-1590810.0주거지역 환경 보전 및 안전N30N없음N주택가<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구청02-860-24532024-01-083160000서울특별시 구로구
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177디지털로32가길(문성골)서울특별시구로구37.478817126.89635737.478853126.8961882022-12-153305.0주거지역 환경 보전 및 안전N30N없음N주택가<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구청02-860-24532024-01-083160000서울특별시 구로구
178경인로35길서울특별시구로구37.503217126.85131537.497487126.8553352022-12-153307.0주거지역 환경 보전 및 안전N30N없음N주택가<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구청02-860-24532024-01-083160000서울특별시 구로구
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