Overview

Dataset statistics

Number of variables27
Number of observations313
Missing cells902
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.2 KiB
Average record size in memory226.4 B

Variable types

Categorical7
Text3
Unsupported2
Boolean8
Numeric6
DateTime1

Dataset

Description경상남도 남해군에서 관리하는 횡단보도 현황으로 횡단보도별 횡단보도폭, 횡단보도연장, 보행자신호등유무, 보행자작동신호기유무, 음향신호기설치여부, 녹색신호시간, 적색신호시간 등에 대한 자료
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111799

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
횡단보도종류 has constant value ""Constant
고원식적용여부 has constant value ""Constant
보행자신호등유무 has constant value ""Constant
교통섬유무 has constant value ""Constant
점자블록유무 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
차로수 is highly imbalanced (78.4%)Imbalance
보행자작동신호기유무 is highly imbalanced (96.9%)Imbalance
음향신호기설치여부 is highly imbalanced (51.4%)Imbalance
소재지도로명주소 has 270 (86.3%) missing valuesMissing
자전거횡단도겸용여부 has 313 (100.0%) missing valuesMissing
Unnamed: 26 has 313 (100.0%) missing valuesMissing
횡단보도관리번호 has unique valuesUnique
자전거횡단도겸용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:49:08.871942
Analysis finished2023-12-10 22:49:09.236150
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
경상남도
313 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 313
100.0%

Length

2023-12-11T07:49:09.298164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:09.403522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 313
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
남해군
313 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남해군 313
100.0%

Length

2023-12-11T07:49:09.530975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:09.648670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남해군 313
100.0%

도로명
Categorical

Distinct26
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
남해대로
72 
동부대로
48 
화전로
30 
서부로
25 
남서대로
25 
Other values (21)
113 

Length

Max length9
Median length4
Mean length3.715655
Min length3

Unique

Unique9 ?
Unique (%)2.9%

Sample

1st row탑동로
2nd row남해대로
3rd row남해대로
4th row남해대로
5th row남해대로

Common Values

ValueCountFrequency (%)
남해대로 72
23.0%
동부대로 48
15.3%
화전로 30
9.6%
서부로 25
 
8.0%
남서대로 25
 
8.0%
남면로 20
 
6.4%
설천로 19
 
6.1%
스포츠로 15
 
4.8%
망운로 12
 
3.8%
삼이로 11
 
3.5%
Other values (16) 36
11.5%

Length

2023-12-11T07:49:09.748623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남해대로 72
23.0%
동부대로 48
15.3%
화전로 30
9.6%
서부로 25
 
8.0%
남서대로 25
 
8.0%
남면로 20
 
6.4%
설천로 19
 
6.1%
스포츠로 15
 
4.8%
망운로 12
 
3.8%
삼이로 11
 
3.5%
Other values (16) 36
11.5%

소재지도로명주소
Text

MISSING 

Distinct40
Distinct (%)93.0%
Missing270
Missing (%)86.3%
Memory size2.6 KiB
2023-12-11T07:49:09.972297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length22.488372
Min length17

Characters and Unicode

Total characters967
Distinct characters74
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

Unique37 ?
Unique (%)86.0%

Sample

1st row경상남도 남해군 남면 남서대로 763
2nd row경상남도 남해군 남면 남서대로 763
3rd row경상남도 남해군 남면 남서대로 1202
4th row경상남도 남해군 남면 고실로 6
5th row경상남도 남해군 남면 남면로 210
ValueCountFrequency (%)
경상남도 43
19.0%
남해군 43
19.0%
남면 18
 
8.0%
설천면 13
 
5.8%
설천로 12
 
5.3%
남해읍 11
 
4.9%
남면로 11
 
4.9%
남서대로 6
 
2.7%
망운로 3
 
1.3%
화전로95번길 2
 
0.9%
Other values (60) 64
28.3%
2023-12-11T07:49:10.319255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
18.9%
남 134
13.9%
해 55
 
5.7%
면 44
 
4.6%
경 43
 
4.4%
도 43
 
4.4%
군 43
 
4.4%
상 43
 
4.4%
로 43
 
4.4%
1 28
 
2.9%
Other values (64) 308
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
64.0%
Space Separator 183
 
18.9%
Decimal Number 155
 
16.0%
Dash Punctuation 10
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 134
21.6%
해 55
8.9%
면 44
 
7.1%
경 43
 
6.9%
도 43
 
6.9%
군 43
 
6.9%
상 43
 
6.9%
로 43
 
6.9%
천 27
 
4.4%
설 27
 
4.4%
Other values (52) 117
18.9%
Decimal Number
ValueCountFrequency (%)
1 28
18.1%
6 19
12.3%
3 18
11.6%
7 18
11.6%
2 17
11.0%
5 13
8.4%
4 12
7.7%
8 12
7.7%
9 11
 
7.1%
0 7
 
4.5%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
64.0%
Common 348
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 134
21.6%
해 55
8.9%
면 44
 
7.1%
경 43
 
6.9%
도 43
 
6.9%
군 43
 
6.9%
상 43
 
6.9%
로 43
 
6.9%
천 27
 
4.4%
설 27
 
4.4%
Other values (52) 117
18.9%
Common
ValueCountFrequency (%)
183
52.6%
1 28
 
8.0%
6 19
 
5.5%
3 18
 
5.2%
7 18
 
5.2%
2 17
 
4.9%
5 13
 
3.7%
4 12
 
3.4%
8 12
 
3.4%
9 11
 
3.2%
Other values (2) 17
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
64.0%
ASCII 348
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
52.6%
1 28
 
8.0%
6 19
 
5.5%
3 18
 
5.2%
7 18
 
5.2%
2 17
 
4.9%
5 13
 
3.7%
4 12
 
3.4%
8 12
 
3.4%
9 11
 
3.2%
Other values (2) 17
 
4.9%
Hangul
ValueCountFrequency (%)
남 134
21.6%
해 55
8.9%
면 44
 
7.1%
경 43
 
6.9%
도 43
 
6.9%
군 43
 
6.9%
상 43
 
6.9%
로 43
 
6.9%
천 27
 
4.4%
설 27
 
4.4%
Other values (52) 117
18.9%

소재지지번주소
Text

Distinct266
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T07:49:10.572386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.817891
Min length18

Characters and Unicode

Total characters6829
Distinct characters97
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

Unique226 ?
Unique (%)72.2%

Sample

1st row경상남도 남해군 고현면 대사리 689-3
2nd row경상남도 남해군 고현면 대사리 956-2
3rd row경상남도 남해군 고현면 대사리 956-2
4th row경상남도 남해군 고현면 도마리 119-1
5th row경상남도 남해군 고현면 도마리 119-1
ValueCountFrequency (%)
경상남도 313
19.8%
남해군 313
19.8%
남해읍 71
 
4.5%
창선면 51
 
3.2%
삼동면 33
 
2.1%
남면 32
 
2.0%
북변리 29
 
1.8%
고현면 25
 
1.6%
설천면 25
 
1.6%
이동면 22
 
1.4%
Other values (329) 665
42.1%
2023-12-11T07:49:10.958678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1266
18.5%
남 741
 
10.9%
해 384
 
5.6%
상 350
 
5.1%
도 330
 
4.8%
경 313
 
4.6%
군 313
 
4.6%
리 313
 
4.6%
- 249
 
3.6%
1 245
 
3.6%
Other values (87) 2325
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4029
59.0%
Decimal Number 1285
 
18.8%
Space Separator 1266
 
18.5%
Dash Punctuation 249
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 741
18.4%
해 384
9.5%
상 350
 
8.7%
도 330
 
8.2%
경 313
 
7.8%
군 313
 
7.8%
리 313
 
7.8%
면 243
 
6.0%
읍 71
 
1.8%
동 71
 
1.8%
Other values (75) 900
22.3%
Decimal Number
ValueCountFrequency (%)
1 245
19.1%
2 208
16.2%
5 123
9.6%
3 120
9.3%
4 114
8.9%
6 109
8.5%
0 103
8.0%
9 102
7.9%
7 81
 
6.3%
8 80
 
6.2%
Space Separator
ValueCountFrequency (%)
1266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4029
59.0%
Common 2800
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 741
18.4%
해 384
9.5%
상 350
 
8.7%
도 330
 
8.2%
경 313
 
7.8%
군 313
 
7.8%
리 313
 
7.8%
면 243
 
6.0%
읍 71
 
1.8%
동 71
 
1.8%
Other values (75) 900
22.3%
Common
ValueCountFrequency (%)
1266
45.2%
- 249
 
8.9%
1 245
 
8.8%
2 208
 
7.4%
5 123
 
4.4%
3 120
 
4.3%
4 114
 
4.1%
6 109
 
3.9%
0 103
 
3.7%
9 102
 
3.6%
Other values (2) 161
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4029
59.0%
ASCII 2800
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1266
45.2%
- 249
 
8.9%
1 245
 
8.8%
2 208
 
7.4%
5 123
 
4.4%
3 120
 
4.3%
4 114
 
4.1%
6 109
 
3.9%
0 103
 
3.7%
9 102
 
3.6%
Other values (2) 161
 
5.8%
Hangul
ValueCountFrequency (%)
남 741
18.4%
해 384
9.5%
상 350
 
8.7%
도 330
 
8.2%
경 313
 
7.8%
군 313
 
7.8%
리 313
 
7.8%
면 243
 
6.0%
읍 71
 
1.8%
동 71
 
1.8%
Other values (75) 900
22.3%

횡단보도관리번호
Text

UNIQUE 

Distinct313
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T07:49:11.243641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6549521
Min length4

Characters and Unicode

Total characters1770
Distinct characters13
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

Unique313 ?
Unique (%)100.0%

Sample

1st row남해-1
2nd row남해-2
3rd row남해-3
4th row남해-4
5th row남해-5
ValueCountFrequency (%)
남해-1 1
 
0.3%
남해-206 1
 
0.3%
남해-213 1
 
0.3%
남해-212 1
 
0.3%
남해-211 1
 
0.3%
남해-210 1
 
0.3%
남해-209 1
 
0.3%
남해-208 1
 
0.3%
남해-219 1
 
0.3%
남해-205 1
 
0.3%
Other values (303) 303
96.8%
2023-12-11T07:49:11.718122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 313
17.7%
해 313
17.7%
- 313
17.7%
1 166
9.4%
2 162
9.2%
3 76
 
4.3%
0 61
 
3.4%
4 61
 
3.4%
5 61
 
3.4%
6 61
 
3.4%
Other values (3) 183
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 831
46.9%
Other Letter 626
35.4%
Dash Punctuation 313
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 166
20.0%
2 162
19.5%
3 76
9.1%
0 61
 
7.3%
4 61
 
7.3%
5 61
 
7.3%
6 61
 
7.3%
7 61
 
7.3%
8 61
 
7.3%
9 61
 
7.3%
Other Letter
ValueCountFrequency (%)
남 313
50.0%
해 313
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 313
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1144
64.6%
Hangul 626
35.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 313
27.4%
1 166
14.5%
2 162
14.2%
3 76
 
6.6%
0 61
 
5.3%
4 61
 
5.3%
5 61
 
5.3%
6 61
 
5.3%
7 61
 
5.3%
8 61
 
5.3%
Hangul
ValueCountFrequency (%)
남 313
50.0%
해 313
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1144
64.6%
Hangul 626
35.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 313
50.0%
해 313
50.0%
ASCII
ValueCountFrequency (%)
- 313
27.4%
1 166
14.5%
2 162
14.2%
3 76
 
6.6%
0 61
 
5.3%
4 61
 
5.3%
5 61
 
5.3%
6 61
 
5.3%
7 61
 
5.3%
8 61
 
5.3%

횡단보도종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
313 

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 (%)
1 313
100.0%

Length

2023-12-11T07:49:11.843019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:11.932065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 313
100.0%

자전거횡단도겸용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing313
Missing (%)100.0%
Memory size2.9 KiB

고원식적용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
313 
ValueCountFrequency (%)
False 313
100.0%
2023-12-11T07:49:12.043647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct281
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.828048
Minimum34.706725
Maximum34.940246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T07:49:12.391412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.706725
5-th percentile34.724954
Q134.788539
median34.836039
Q334.8672
95-th percentile34.91874
Maximum34.940246
Range0.23352108
Interquartile range (IQR)0.07866077

Descriptive statistics

Standard deviation0.056099876
Coefficient of variation (CV)0.0016107672
Kurtosis-0.51123954
Mean34.828048
Median Absolute Deviation (MAD)0.03426943
Skewness-0.21627485
Sum10901.179
Variance0.0031471961
MonotonicityNot monotonic
2023-12-11T07:49:12.526834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.84737619 4
 
1.3%
34.9333126 3
 
1.0%
34.84112149 3
 
1.0%
34.83791868 2
 
0.6%
34.83336203 2
 
0.6%
34.88001782 2
 
0.6%
34.88853643 2
 
0.6%
34.90252572 2
 
0.6%
34.7236326 2
 
0.6%
34.89501794 2
 
0.6%
Other values (271) 289
92.3%
ValueCountFrequency (%)
34.70672467 1
0.3%
34.70702294 1
0.3%
34.70741847 1
0.3%
34.71331328 1
0.3%
34.71443139 1
0.3%
34.71597351 1
0.3%
34.71599206 1
0.3%
34.72157068 1
0.3%
34.72244501 1
0.3%
34.72272444 1
0.3%
ValueCountFrequency (%)
34.94024575 1
 
0.3%
34.93969752 1
 
0.3%
34.93789279 1
 
0.3%
34.93333983 1
 
0.3%
34.9333126 3
1.0%
34.93045845 1
 
0.3%
34.92913963 1
 
0.3%
34.92785637 1
 
0.3%
34.92505426 1
 
0.3%
34.92388276 1
 
0.3%

경도
Real number (ℝ)

Distinct280
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.93488
Minimum127.81982
Maximum128.06924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T07:49:12.661713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.81982
5-th percentile127.84944
Q1127.88977
median127.90381
Q3127.99865
95-th percentile128.04136
Maximum128.06924
Range0.2494274
Interquartile range (IQR)0.1088894

Descriptive statistics

Standard deviation0.064992363
Coefficient of variation (CV)0.00050801127
Kurtosis-1.2475475
Mean127.93488
Median Absolute Deviation (MAD)0.0434252
Skewness0.34744128
Sum40043.619
Variance0.0042240072
MonotonicityNot monotonic
2023-12-11T07:49:12.798425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.8948367 4
 
1.3%
127.8968018 3
 
1.0%
127.8734378 3
 
1.0%
127.925599 2
 
0.6%
127.8946591 2
 
0.6%
127.8996977 2
 
0.6%
127.8701491 2
 
0.6%
128.0006681 2
 
0.6%
127.8938317 2
 
0.6%
127.8941118 2
 
0.6%
Other values (270) 289
92.3%
ValueCountFrequency (%)
127.8198164 1
0.3%
127.8235024 1
0.3%
127.8238699 1
0.3%
127.8243249 1
0.3%
127.8258075 1
0.3%
127.8319543 1
0.3%
127.833854 1
0.3%
127.8361013 1
0.3%
127.8361231 1
0.3%
127.8369111 1
0.3%
ValueCountFrequency (%)
128.0692438 1
0.3%
128.0524184 1
0.3%
128.051531 1
0.3%
128.050536 1
0.3%
128.0502429 1
0.3%
128.0497271 1
0.3%
128.0491472 1
0.3%
128.0459877 1
0.3%
128.0457118 1
0.3%
128.0454533 1
0.3%

차로수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2
289 
4
 
16
5
 
3
3
 
3
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row4
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 289
92.3%
4 16
 
5.1%
5 3
 
1.0%
3 3
 
1.0%
1 2
 
0.6%

Length

2023-12-11T07:49:12.939977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:13.042460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 289
92.3%
4 16
 
5.1%
5 3
 
1.0%
3 3
 
1.0%
1 2
 
0.6%

횡단보도폭
Real number (ℝ)

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7763578
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T07:49:13.130944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16
median6
Q38
95-th percentile8
Maximum10
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3848367
Coefficient of variation (CV)0.20436298
Kurtosis-0.34977456
Mean6.7763578
Median Absolute Deviation (MAD)2
Skewness-0.17618195
Sum2121
Variance1.9177726
MonotonicityNot monotonic
2023-12-11T07:49:13.254954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 135
43.1%
8 130
41.5%
4 28
 
8.9%
10 9
 
2.9%
7 7
 
2.2%
5 4
 
1.3%
ValueCountFrequency (%)
4 28
 
8.9%
5 4
 
1.3%
6 135
43.1%
7 7
 
2.2%
8 130
41.5%
10 9
 
2.9%
ValueCountFrequency (%)
10 9
 
2.9%
8 130
41.5%
7 7
 
2.2%
6 135
43.1%
5 4
 
1.3%
4 28
 
8.9%

횡단보도연장
Real number (ℝ)

Distinct15
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.169329
Minimum6
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T07:49:13.394348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q112
median15
Q315
95-th percentile21.2
Maximum35
Range29
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.1472004
Coefficient of variation (CV)0.36326352
Kurtosis4.5388205
Mean14.169329
Median Absolute Deviation (MAD)3
Skewness1.5080877
Sum4435
Variance26.493672
MonotonicityNot monotonic
2023-12-11T07:49:13.509017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
15 121
38.7%
12 86
27.5%
20 27
 
8.6%
6 21
 
6.7%
10 13
 
4.2%
7 10
 
3.2%
8 9
 
2.9%
18 8
 
2.6%
35 6
 
1.9%
30 4
 
1.3%
Other values (5) 8
 
2.6%
ValueCountFrequency (%)
6 21
 
6.7%
7 10
 
3.2%
8 9
 
2.9%
10 13
 
4.2%
12 86
27.5%
13 1
 
0.3%
15 121
38.7%
16 1
 
0.3%
18 8
 
2.6%
20 27
 
8.6%
ValueCountFrequency (%)
35 6
 
1.9%
30 4
 
1.3%
26 1
 
0.3%
25 3
 
1.0%
23 2
 
0.6%
20 27
 
8.6%
18 8
 
2.6%
16 1
 
0.3%
15 121
38.7%
13 1
 
0.3%

보행자신호등유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
313 
ValueCountFrequency (%)
False 313
100.0%
2023-12-11T07:49:13.633656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보행자작동신호기유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
312 
True
 
1
ValueCountFrequency (%)
False 312
99.7%
True 1
 
0.3%
2023-12-11T07:49:13.730767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음향신호기설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
280 
True
33 
ValueCountFrequency (%)
False 280
89.5%
True 33
 
10.5%
2023-12-11T07:49:13.834952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

녹색신호시간
Real number (ℝ)

Distinct9
Distinct (%)2.9%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean21.683871
Minimum19
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T07:49:13.946864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile20
Q120
median20
Q324
95-th percentile28
Maximum33
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7181634
Coefficient of variation (CV)0.12535416
Kurtosis1.479554
Mean21.683871
Median Absolute Deviation (MAD)0
Skewness1.4569554
Sum6722
Variance7.3884122
MonotonicityNot monotonic
2023-12-11T07:49:14.081149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20 208
66.5%
25 41
 
13.1%
24 29
 
9.3%
28 18
 
5.8%
22 8
 
2.6%
19 2
 
0.6%
33 2
 
0.6%
27 1
 
0.3%
30 1
 
0.3%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
19 2
 
0.6%
20 208
66.5%
22 8
 
2.6%
24 29
 
9.3%
25 41
 
13.1%
27 1
 
0.3%
28 18
 
5.8%
30 1
 
0.3%
33 2
 
0.6%
ValueCountFrequency (%)
33 2
 
0.6%
30 1
 
0.3%
28 18
 
5.8%
27 1
 
0.3%
25 41
 
13.1%
24 29
 
9.3%
22 8
 
2.6%
20 208
66.5%
19 2
 
0.6%

적색신호시간
Real number (ℝ)

Distinct24
Distinct (%)7.7%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean134.56774
Minimum67
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T07:49:14.195920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile115
Q1120
median130
Q3145
95-th percentile165
Maximum170
Range103
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.89669
Coefficient of variation (CV)0.13299391
Kurtosis0.49939161
Mean134.56774
Median Absolute Deviation (MAD)10
Skewness0.17978133
Sum41716
Variance320.29151
MonotonicityNot monotonic
2023-12-11T07:49:14.335718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
120 80
25.6%
130 52
16.6%
165 40
12.8%
140 25
 
8.0%
115 20
 
6.4%
125 19
 
6.1%
145 14
 
4.5%
135 8
 
2.6%
138 8
 
2.6%
150 7
 
2.2%
Other values (14) 37
11.8%
ValueCountFrequency (%)
67 1
 
0.3%
70 2
 
0.6%
110 1
 
0.3%
115 20
 
6.4%
120 80
25.6%
122 5
 
1.6%
125 19
 
6.1%
130 52
16.6%
133 2
 
0.6%
135 8
 
2.6%
ValueCountFrequency (%)
170 1
 
0.3%
168 2
 
0.6%
165 40
12.8%
162 7
 
2.2%
161 1
 
0.3%
160 4
 
1.3%
157 2
 
0.6%
156 2
 
0.6%
155 5
 
1.6%
150 7
 
2.2%

교통섬유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
313 
ValueCountFrequency (%)
False 313
100.0%
2023-12-11T07:49:14.470254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보도턱낮춤여부
Boolean

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size445.0 B
True
158 
False
155 
ValueCountFrequency (%)
True 158
50.5%
False 155
49.5%
2023-12-11T07:49:14.568852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점자블록유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
313 
ValueCountFrequency (%)
False 313
100.0%
2023-12-11T07:49:14.666268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

집중조명시설유무
Boolean

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size445.0 B
False
223 
True
90 
ValueCountFrequency (%)
False 223
71.2%
True 90
28.8%
2023-12-11T07:49:14.762322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
경상남도 남해군
313 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 남해군
2nd row경상남도 남해군
3rd row경상남도 남해군
4th row경상남도 남해군
5th row경상남도 남해군

Common Values

ValueCountFrequency (%)
경상남도 남해군 313
100.0%

Length

2023-12-11T07:49:14.864376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:14.965653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 313
50.0%
남해군 313
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
055-860-3454
313 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-860-3454
2nd row055-860-3454
3rd row055-860-3454
4th row055-860-3454
5th row055-860-3454

Common Values

ValueCountFrequency (%)
055-860-3454 313
100.0%

Length

2023-12-11T07:49:15.071459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:49:15.157845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-860-3454 313
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2023-01-10 00:00:00
Maximum2023-01-10 00:00:00
2023-12-11T07:49:15.224611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:49:15.329853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing313
Missing (%)100.0%
Memory size2.9 KiB

Sample

시도명시군구명도로명소재지도로명주소소재지지번주소횡단보도관리번호횡단보도종류자전거횡단도겸용여부고원식적용여부위도경도차로수횡단보도폭횡단보도연장보행자신호등유무보행자작동신호기유무음향신호기설치여부녹색신호시간적색신호시간교통섬유무보도턱낮춤여부점자블록유무집중조명시설유무관리기관명관리기관전화번호데이터기준일자Unnamed: 26
0경상남도남해군탑동로<NA>경상남도 남해군 고현면 대사리 689-3남해-11<NA>N34.896216127.872969247NNN25165NYNY경상남도 남해군055-860-34542023-01-10<NA>
1경상남도남해군남해대로<NA>경상남도 남해군 고현면 대사리 956-2남해-21<NA>N34.895797127.8785524626NNN28162NYNN경상남도 남해군055-860-34542023-01-10<NA>
2경상남도남해군남해대로<NA>경상남도 남해군 고현면 대사리 956-2남해-31<NA>N34.902416127.871114835NNN25165NNNN경상남도 남해군055-860-34542023-01-10<NA>
3경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 119-1남해-41<NA>N34.868767127.8933268NNN25165NYNY경상남도 남해군055-860-34542023-01-10<NA>
4경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 119-1남해-51<NA>N34.868767127.89332620NNN25165NNNN경상남도 남해군055-860-34542023-01-10<NA>
5경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 145-2남해-61<NA>N34.870309127.8930912610NNY25165NYNN경상남도 남해군055-860-34542023-01-10<NA>
6경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 145-2남해-71<NA>N34.870309127.8930912618NNN25165NNNN경상남도 남해군055-860-34542023-01-10<NA>
7경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 226-2남해-81<NA>N34.871697127.8929252610NYN28122NYNN경상남도 남해군055-860-34542023-01-10<NA>
8경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 226-2남해-91<NA>N34.87139127.8929142615NNN25165NYNN경상남도 남해군055-860-34542023-01-10<NA>
9경상남도남해군남해대로<NA>경상남도 남해군 고현면 도마리 5002남해-101<NA>N34.880033127.889961268NNY28122NYNY경상남도 남해군055-860-34542023-01-10<NA>
시도명시군구명도로명소재지도로명주소소재지지번주소횡단보도관리번호횡단보도종류자전거횡단도겸용여부고원식적용여부위도경도차로수횡단보도폭횡단보도연장보행자신호등유무보행자작동신호기유무음향신호기설치여부녹색신호시간적색신호시간교통섬유무보도턱낮춤여부점자블록유무집중조명시설유무관리기관명관리기관전화번호데이터기준일자Unnamed: 26
303경상남도남해군동부대로<NA>경상남도 남해군 창선면 지족리 288-5남해-3041<NA>N34.836765128.0008852615NNN20165NNNY경상남도 남해군055-860-34542023-01-10<NA>
304경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 306-2남해-3051<NA>N34.836792127.9986552815NNN20150NYNY경상남도 남해군055-860-34542023-01-10<NA>
305경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 306-2남해-3061<NA>N34.836882127.9980422815NNN20140NNNN경상남도 남해군055-860-34542023-01-10<NA>
306경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 317-3남해-3071<NA>N34.837215127.9966642815NNN20140NNNN경상남도 남해군055-860-34542023-01-10<NA>
307경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 360-1남해-3081<NA>N34.837711127.9912082815NNN20120NYNN경상남도 남해군055-860-34542023-01-10<NA>
308경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 821-3남해-3091<NA>N34.846598127.9740072815NNN20130NNNY경상남도 남해군055-860-34542023-01-10<NA>
309경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 792-6남해-3101<NA>N34.84265127.9784372815NNN20120NNNY경상남도 남해군055-860-34542023-01-10<NA>
310경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 821-3남해-3111<NA>N34.84648127.9746962815NNN20125NNNN경상남도 남해군055-860-34542023-01-10<NA>
311경상남도남해군서부로<NA>경상남도 남해군 창선면 지족리 873남해-3121<NA>N34.837504127.9932642815NNN20120NNNN경상남도 남해군055-860-34542023-01-10<NA>
312경상남도남해군흥선로1505번길<NA>경상남도 남해군 창선면 진동리 1382남해-3131<NA>N34.838412128.0692442812NNN20120NNNN경상남도 남해군055-860-34542023-01-10<NA>