Overview

Dataset statistics

Number of variables13
Number of observations5043
Missing cells9984
Missing cells (%)15.2%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory541.9 KiB
Average record size in memory110.0 B

Variable types

Categorical6
Numeric6
Text1

Dataset

Description도시정보시스템의 장애인편의 도로시설에 대한 지형지물부호, 장애인편의시설구분, 장애인편의시설재질 등에 관한 정보
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15062698/fileData.do

Alerts

관리기관 has constant value ""Constant
대장초기화여부 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
관리번호 is highly overall correlated with 도로구간번호 and 1 other fieldsHigh correlation
도로구간번호 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
유도블럭연장(m) is highly overall correlated with 유도블럭면적(제곱미터) and 3 other fieldsHigh correlation
유도블럭면적(제곱미터) is highly overall correlated with 유도블럭연장(m) and 4 other fieldsHigh correlation
경도 is highly overall correlated with 행정읍면동High correlation
위도 is highly overall correlated with 행정읍면동High correlation
지형지물부호 is highly overall correlated with 유도블럭연장(m) and 2 other fieldsHigh correlation
행정읍면동 is highly overall correlated with 관리번호 and 4 other fieldsHigh correlation
장애인편의시설구분 is highly overall correlated with 유도블럭연장(m) and 2 other fieldsHigh correlation
장애인편의시설재질 is highly overall correlated with 유도블럭연장(m) and 3 other fieldsHigh correlation
유도블럭연장(m) has 4977 (98.7%) missing valuesMissing
유도블럭면적(제곱미터) has 5007 (99.3%) missing valuesMissing

Reproduction

Analysis started2024-03-14 19:11:31.252279
Analysis finished2024-03-14 19:11:42.932587
Duration11.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물부호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
보도턱
2898 
장애인편의시설
2124 
<NA>
 
21

Length

Max length7
Median length3
Mean length4.6888757
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인편의시설
2nd row보도턱
3rd row보도턱
4th row장애인편의시설
5th row보도턱

Common Values

ValueCountFrequency (%)
보도턱 2898
57.5%
장애인편의시설 2124
42.1%
<NA> 21
 
0.4%

Length

2024-03-15T04:11:43.160089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:11:43.453648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보도턱 2898
57.5%
장애인편의시설 2124
42.1%
na 21
 
0.4%

관리번호
Real number (ℝ)

HIGH CORRELATION 

Distinct4952
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26468115
Minimum1
Maximum2.02112 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-03-15T04:11:43.903152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile268.1
Q11316.5
median3007
Q34460.5
95-th percentile181122.9
Maximum2.02112 × 109
Range2.02112 × 109
Interquartile range (IQR)3144

Descriptive statistics

Standard deviation2.2971529 × 108
Coefficient of variation (CV)8.6789439
Kurtosis71.4944
Mean26468115
Median Absolute Deviation (MAD)1578
Skewness8.5712334
Sum1.334787 × 1011
Variance5.2769112 × 1016
MonotonicityNot monotonic
2024-03-15T04:11:44.289258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181003 2
 
< 0.1%
5035 2
 
< 0.1%
181101 2
 
< 0.1%
181103 2
 
< 0.1%
181105 2
 
< 0.1%
181108 2
 
< 0.1%
181104 2
 
< 0.1%
181111 2
 
< 0.1%
5015 2
 
< 0.1%
5213 2
 
< 0.1%
Other values (4942) 5023
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
2021120002 1
< 0.1%
2021120001 1
< 0.1%
2021080064 1
< 0.1%
2021080063 1
< 0.1%
2021080062 1
< 0.1%
2021080061 1
< 0.1%
2021080060 1
< 0.1%
2021080059 1
< 0.1%
2021080058 1
< 0.1%
2021080057 1
< 0.1%

도로구간번호
Real number (ℝ)

HIGH CORRELATION 

Distinct851
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26470166
Minimum0
Maximum2.02112 × 109
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-03-15T04:11:44.695380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile393
Q12387
median6106
Q38181
95-th percentile181104
Maximum2.02112 × 109
Range2.02112 × 109
Interquartile range (IQR)5794

Descriptive statistics

Standard deviation2.2971505 × 108
Coefficient of variation (CV)8.6782623
Kurtosis71.4944
Mean26470166
Median Absolute Deviation (MAD)3572
Skewness8.5712334
Sum1.3348905 × 1011
Variance5.2769002 × 1016
MonotonicityNot monotonic
2024-03-15T04:11:45.186536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181007 62
 
1.2%
2795 53
 
1.1%
201001 44
 
0.9%
2767 36
 
0.7%
7068 36
 
0.7%
1809 34
 
0.7%
2788 33
 
0.7%
14104 30
 
0.6%
8844 30
 
0.6%
2618 29
 
0.6%
Other values (841) 4656
92.3%
ValueCountFrequency (%)
0 4
0.1%
2 7
0.1%
7 7
0.1%
11 7
0.1%
12 5
0.1%
13 3
0.1%
17 3
0.1%
21 2
 
< 0.1%
23 6
0.1%
29 3
0.1%
ValueCountFrequency (%)
2021120005 1
 
< 0.1%
2021120001 1
 
< 0.1%
2021080012 8
 
0.2%
2021080011 4
 
0.1%
2021080009 16
0.3%
2021080008 23
0.5%
2021080004 7
 
0.1%
2021080001 6
 
0.1%
201201 8
 
0.2%
201005 2
 
< 0.1%

행정읍면동
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
광도면
1298 
무전동
655 
봉평동
529 
북신동
524 
도천동
422 
Other values (9)
1615 

Length

Max length3
Median length3
Mean length2.9984136
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광도면 1298
25.7%
무전동 655
13.0%
봉평동 529
10.5%
북신동 524
10.4%
도천동 422
 
8.4%
도산면 390
 
7.7%
정량동 388
 
7.7%
중앙동 261
 
5.2%
명정동 189
 
3.7%
미수동 143
 
2.8%
Other values (4) 244
 
4.8%

Length

2024-03-15T04:11:45.638841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광도면 1298
25.7%
무전동 655
13.0%
봉평동 529
10.5%
북신동 524
10.4%
도천동 422
 
8.4%
도산면 390
 
7.7%
정량동 388
 
7.7%
중앙동 261
 
5.2%
명정동 189
 
3.7%
미수동 143
 
2.8%
Other values (4) 244
 
4.8%

도엽번호
Text

Distinct297
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
2024-03-15T04:11:46.711919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters50430
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.8%

Sample

1st row348021435C
2nd row348021434D
3rd row348021434D
4th row348021434D
5th row348021434D
ValueCountFrequency (%)
348021434d 118
 
2.3%
348021915b 117
 
2.3%
348021315b 115
 
2.3%
348021486d 114
 
2.3%
348021475c 110
 
2.2%
348021496b 96
 
1.9%
348021435c 90
 
1.8%
348021434b 78
 
1.5%
348021305c 72
 
1.4%
348021935c 66
 
1.3%
Other values (287) 4067
80.6%
2024-03-15T04:11:48.023123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 9143
18.1%
3 6773
13.4%
0 6103
12.1%
8 6060
12.0%
2 5743
11.4%
1 5558
11.0%
9 2593
 
5.1%
5 1563
 
3.1%
C 1397
 
2.8%
B 1277
 
2.5%
Other values (4) 4220
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45387
90.0%
Uppercase Letter 5043
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 9143
20.1%
3 6773
14.9%
0 6103
13.4%
8 6060
13.4%
2 5743
12.7%
1 5558
12.2%
9 2593
 
5.7%
5 1563
 
3.4%
6 951
 
2.1%
7 900
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
C 1397
27.7%
B 1277
25.3%
D 1274
25.3%
A 1095
21.7%

Most occurring scripts

ValueCountFrequency (%)
Common 45387
90.0%
Latin 5043
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 9143
20.1%
3 6773
14.9%
0 6103
13.4%
8 6060
13.4%
2 5743
12.7%
1 5558
12.2%
9 2593
 
5.7%
5 1563
 
3.4%
6 951
 
2.1%
7 900
 
2.0%
Latin
ValueCountFrequency (%)
C 1397
27.7%
B 1277
25.3%
D 1274
25.3%
A 1095
21.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 9143
18.1%
3 6773
13.4%
0 6103
12.1%
8 6060
12.0%
2 5743
11.4%
1 5558
11.0%
9 2593
 
5.1%
5 1563
 
3.1%
C 1397
 
2.8%
B 1277
 
2.5%
Other values (4) 4220
8.4%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
통영시
5043 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통영시 5043
100.0%

Length

2024-03-15T04:11:48.248056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:11:48.429113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통영시 5043
100.0%

유도블럭연장(m)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct57
Distinct (%)86.4%
Missing4977
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean5.3757576
Minimum0.87
Maximum17.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-03-15T04:11:48.744160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.87
5-th percentile0.91
Q11.9625
median4.425
Q36.085
95-th percentile15.0025
Maximum17.1
Range16.23
Interquartile range (IQR)4.1225

Descriptive statistics

Standard deviation4.284112
Coefficient of variation (CV)0.79693177
Kurtosis1.0806682
Mean5.3757576
Median Absolute Deviation (MAD)2.34
Skewness1.3280836
Sum354.8
Variance18.353616
MonotonicityNot monotonic
2024-03-15T04:11:49.178227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.91 3
 
0.1%
3.65 2
 
< 0.1%
11.1 2
 
< 0.1%
6.04 2
 
< 0.1%
0.92 2
 
< 0.1%
1.8 2
 
< 0.1%
4.24 2
 
< 0.1%
0.9 2
 
< 0.1%
1.91 1
 
< 0.1%
4.41 1
 
< 0.1%
Other values (47) 47
 
0.9%
(Missing) 4977
98.7%
ValueCountFrequency (%)
0.87 1
 
< 0.1%
0.9 2
< 0.1%
0.91 3
0.1%
0.92 2
< 0.1%
1.21 1
 
< 0.1%
1.32 1
 
< 0.1%
1.59 1
 
< 0.1%
1.8 2
< 0.1%
1.81 1
 
< 0.1%
1.82 1
 
< 0.1%
ValueCountFrequency (%)
17.1 1
< 0.1%
16.72 1
< 0.1%
15.86 1
< 0.1%
15.16 1
< 0.1%
14.53 1
< 0.1%
14.18 1
< 0.1%
13.48 1
< 0.1%
12.55 1
< 0.1%
11.1 2
< 0.1%
7.89 1
< 0.1%

유도블럭면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)72.2%
Missing5007
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.5475
Minimum0.19
Maximum9.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-03-15T04:11:49.659009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile0.19
Q10.86
median1.385
Q32.8875
95-th percentile9.5075
Maximum9.86
Range9.67
Interquartile range (IQR)2.0275

Descriptive statistics

Standard deviation2.7592363
Coefficient of variation (CV)1.0831153
Kurtosis2.7688473
Mean2.5475
Median Absolute Deviation (MAD)1.085
Skewness1.8997785
Sum91.71
Variance7.613385
MonotonicityNot monotonic
2024-03-15T04:11:50.138067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.19 3
 
0.1%
9.86 2
 
< 0.1%
2.55 2
 
< 0.1%
1.45 2
 
< 0.1%
9.39 2
 
< 0.1%
1.32 2
 
< 0.1%
3.93 2
 
< 0.1%
1.31 2
 
< 0.1%
0.86 2
 
< 0.1%
0.37 1
 
< 0.1%
Other values (16) 16
 
0.3%
(Missing) 5007
99.3%
ValueCountFrequency (%)
0.19 3
0.1%
0.37 1
 
< 0.1%
0.55 1
 
< 0.1%
0.59 1
 
< 0.1%
0.74 1
 
< 0.1%
0.84 1
 
< 0.1%
0.86 2
< 0.1%
0.9 1
 
< 0.1%
0.95 1
 
< 0.1%
0.96 1
 
< 0.1%
ValueCountFrequency (%)
9.86 2
< 0.1%
9.39 2
< 0.1%
3.93 2
< 0.1%
3.66 1
< 0.1%
3.34 1
< 0.1%
3.15 1
< 0.1%
2.8 1
< 0.1%
2.75 1
< 0.1%
2.67 1
< 0.1%
2.55 2
< 0.1%

대장초기화여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
속성입력완료
5043 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
속성입력완료 5043
100.0%

Length

2024-03-15T04:11:50.570922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:11:50.908981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
속성입력완료 5043
100.0%

장애인편의시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
장애인유도블록
3000 
보도턱낮춤
1051 
횡단보도낮춤
928 
<NA>
 
60
미분류
 
4

Length

Max length7
Median length7
Mean length6.3603014
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인유도블록
2nd row장애인유도블록
3rd row장애인유도블록
4th row횡단보도낮춤
5th row장애인유도블록

Common Values

ValueCountFrequency (%)
장애인유도블록 3000
59.5%
보도턱낮춤 1051
 
20.8%
횡단보도낮춤 928
 
18.4%
<NA> 60
 
1.2%
미분류 4
 
0.1%

Length

2024-03-15T04:11:51.411244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:11:51.790823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인유도블록 3000
59.5%
보도턱낮춤 1051
 
20.8%
횡단보도낮춤 928
 
18.4%
na 60
 
1.2%
미분류 4
 
0.1%

장애인편의시설재질
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
기타
1612 
점자_콘크리트
1458 
유도_콘크리트
1351 
미분류
457 
점자_기타
 
85

Length

Max length10
Median length7
Mean length5.053143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row점자_콘크리트
2nd row점자_콘크리트
3rd row유도_콘크리트
4th row기타
5th row점자_콘크리트

Common Values

ValueCountFrequency (%)
기타 1612
32.0%
점자_콘크리트 1458
28.9%
유도_콘크리트 1351
26.8%
미분류 457
 
9.1%
점자_기타 85
 
1.7%
유도_콘크리트_기타 80
 
1.6%

Length

2024-03-15T04:11:52.231866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:11:52.673245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1612
32.0%
점자_콘크리트 1458
28.9%
유도_콘크리트 1351
26.8%
미분류 457
 
9.1%
점자_기타 85
 
1.7%
유도_콘크리트_기타 80
 
1.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct4533
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.41682
Minimum128.34942
Maximum128.47043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-03-15T04:11:53.111323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.34942
5-th percentile128.37351
Q1128.41334
median128.42025
Q3128.4265
95-th percentile128.43342
Maximum128.47043
Range0.121003
Interquartile range (IQR)0.013157

Descriptive statistics

Standard deviation0.016748558
Coefficient of variation (CV)0.0001304234
Kurtosis2.7266271
Mean128.41682
Median Absolute Deviation (MAD)0.006454
Skewness-1.4022301
Sum647606.04
Variance0.00028051421
MonotonicityNot monotonic
2024-03-15T04:11:53.667542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.418906 5
 
0.1%
128.423168 4
 
0.1%
128.420931 4
 
0.1%
128.428738 4
 
0.1%
128.41915 4
 
0.1%
128.428466 4
 
0.1%
128.428734 4
 
0.1%
128.420917 4
 
0.1%
128.420911 3
 
0.1%
128.426337 3
 
0.1%
Other values (4523) 5004
99.2%
ValueCountFrequency (%)
128.349424 1
< 0.1%
128.349588 1
< 0.1%
128.349602 1
< 0.1%
128.349668 1
< 0.1%
128.349682 1
< 0.1%
128.349738 1
< 0.1%
128.349755 1
< 0.1%
128.349797 1
< 0.1%
128.349814 1
< 0.1%
128.349887 1
< 0.1%
ValueCountFrequency (%)
128.470427 1
< 0.1%
128.46971 1
< 0.1%
128.468994 1
< 0.1%
128.468991 1
< 0.1%
128.468439 1
< 0.1%
128.468281 1
< 0.1%
128.467924 1
< 0.1%
128.467707 1
< 0.1%
128.467507 1
< 0.1%
128.467434 1
< 0.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct4686
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.863214
Minimum34.763756
Maximum34.960314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2024-03-15T04:11:53.958817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.763756
5-th percentile34.826189
Q134.841938
median34.8573
Q334.881435
95-th percentile34.948856
Maximum34.960314
Range0.196558
Interquartile range (IQR)0.0394975

Descriptive statistics

Standard deviation0.0323263
Coefficient of variation (CV)0.00092723234
Kurtosis1.6565709
Mean34.863214
Median Absolute Deviation (MAD)0.019891
Skewness1.1662127
Sum175815.19
Variance0.0010449897
MonotonicityNot monotonic
2024-03-15T04:11:54.336093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.900125 5
 
0.1%
34.859884 4
 
0.1%
34.896562 3
 
0.1%
34.857102 3
 
0.1%
34.839773 3
 
0.1%
34.857383 3
 
0.1%
34.860449 3
 
0.1%
34.844766 3
 
0.1%
34.860412 3
 
0.1%
34.881868 3
 
0.1%
Other values (4676) 5010
99.3%
ValueCountFrequency (%)
34.763756 1
< 0.1%
34.764139 2
< 0.1%
34.767519 1
< 0.1%
34.76812 1
< 0.1%
34.801073 1
< 0.1%
34.801077 1
< 0.1%
34.801091 1
< 0.1%
34.801156 1
< 0.1%
34.801157 1
< 0.1%
34.801174 1
< 0.1%
ValueCountFrequency (%)
34.960314 1
< 0.1%
34.960309 1
< 0.1%
34.9603 1
< 0.1%
34.960296 1
< 0.1%
34.960152 1
< 0.1%
34.96015 1
< 0.1%
34.96014 1
< 0.1%
34.960123 1
< 0.1%
34.960115 1
< 0.1%
34.960104 1
< 0.1%

Interactions

2024-03-15T04:11:39.960575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:32.275051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:33.928530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:35.603825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:36.981007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:38.506249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:40.167788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:32.572902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:34.222180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:35.780056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:37.226243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:38.791830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:40.532075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:33.049099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:34.509031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:35.955931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:37.491453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:39.073956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:40.796482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:33.237982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:34.780200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:36.213911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:37.736087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:39.341185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:41.105155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:33.447897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:35.036025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:36.454107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:37.985124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:39.594091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:41.370934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:33.636981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:35.313984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:36.730767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:38.253098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:11:39.780592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:11:54.629087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지형지물부호관리번호도로구간번호행정읍면동유도블럭연장(m)유도블럭면적(제곱미터)장애인편의시설구분장애인편의시설재질경도위도
지형지물부호1.0000.0360.0360.2440.686NaN0.5690.8180.2090.170
관리번호0.0361.0001.0000.650NaNNaN0.0690.3680.1560.149
도로구간번호0.0361.0001.0000.650NaNNaN0.0690.3680.1560.149
행정읍면동0.2440.6500.6501.0000.4590.6670.2750.3640.8470.853
유도블럭연장(m)0.686NaNNaN0.4591.0000.7200.8750.8660.5810.642
유도블럭면적(제곱미터)NaNNaNNaN0.6670.7201.000NaN0.6380.6670.667
장애인편의시설구분0.5690.0690.0690.2750.875NaN1.0000.7280.2680.249
장애인편의시설재질0.8180.3680.3680.3640.8660.6380.7281.0000.3370.231
경도0.2090.1560.1560.8470.5810.6670.2680.3371.0000.892
위도0.1700.1490.1490.8530.6420.6670.2490.2310.8921.000
2024-03-15T04:11:54.912500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정읍면동장애인편의시설재질장애인편의시설구분지형지물부호
행정읍면동1.0000.1880.1580.190
장애인편의시설재질0.1881.0000.5630.623
장애인편의시설구분0.1580.5631.0000.390
지형지물부호0.1900.6230.3901.000
2024-03-15T04:11:55.104049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호도로구간번호유도블럭연장(m)유도블럭면적(제곱미터)경도위도지형지물부호행정읍면동장애인편의시설구분장애인편의시설재질
관리번호1.0000.7930.075-0.343-0.3610.2410.0230.5140.0460.265
도로구간번호0.7931.0000.306-0.163-0.3450.3630.0230.5140.0460.265
유도블럭연장(m)0.0750.3061.0000.5800.133-0.3000.6560.2950.5690.558
유도블럭면적(제곱미터)-0.343-0.1630.5801.000-0.4590.1221.0000.7621.0000.731
경도-0.361-0.3450.133-0.4591.000-0.1980.1600.5540.1640.184
위도0.2410.363-0.3000.122-0.1981.0000.1300.5650.1510.123
지형지물부호0.0230.0230.6561.0000.1600.1301.0000.1900.3900.623
행정읍면동0.5140.5140.2950.7620.5540.5650.1901.0000.1580.188
장애인편의시설구분0.0460.0460.5691.0000.1640.1510.3900.1581.0000.563
장애인편의시설재질0.2650.2650.5580.7310.1840.1230.6230.1880.5631.000

Missing values

2024-03-15T04:11:41.782037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:11:42.362859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-15T04:11:42.816966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지형지물부호관리번호도로구간번호행정읍면동도엽번호관리기관유도블럭연장(m)유도블럭면적(제곱미터)대장초기화여부장애인편의시설구분장애인편의시설재질경도위도
0장애인편의시설556914104광도면348021435C통영시<NA><NA>속성입력완료장애인유도블록점자_콘크리트128.42006634.882143
1보도턱36466993광도면348021434D통영시<NA><NA>속성입력완료장애인유도블록점자_콘크리트128.41936934.882148
2보도턱25057272광도면348021434D통영시<NA><NA>속성입력완료장애인유도블록유도_콘크리트128.41973234.8822
3장애인편의시설31776993광도면348021434D통영시<NA><NA>속성입력완료횡단보도낮춤기타128.41927834.882162
4보도턱36476993광도면348021434D통영시<NA><NA>속성입력완료장애인유도블록점자_콘크리트128.41927334.882162
5보도턱36426993광도면348021434D통영시<NA><NA>속성입력완료장애인유도블록유도_콘크리트128.41937534.882148
6보도턱36436993광도면348021434D통영시<NA><NA>속성입력완료장애인유도블록유도_콘크리트128.41926734.882163
7장애인편의시설31757272광도면348021434D통영시<NA><NA>속성입력완료횡단보도낮춤기타128.41956234.882243
8보도턱181094181005광도면348021434D통영시<NA><NA>속성입력완료횡단보도낮춤기타128.41878934.882315
9장애인편의시설181025181005광도면348021434D통영시<NA><NA>속성입력완료장애인유도블록유도_콘크리트_기타128.41878734.882285
지형지물부호관리번호도로구간번호행정읍면동도엽번호관리기관유도블럭연장(m)유도블럭면적(제곱미터)대장초기화여부장애인편의시설구분장애인편의시설재질경도위도
5033보도턱20210800192021080008중앙동348021915B통영시11.1<NA>속성입력완료횡단보도낮춤미분류128.42337534.844564
5034보도턱20210800202021080008중앙동348021915B통영시16.72<NA>속성입력완료횡단보도낮춤미분류128.42344634.844734
5035보도턱20210800212021080009중앙동348021915B통영시15.16<NA>속성입력완료횡단보도낮춤미분류128.42283434.843217
5036보도턱20210800222021080009중앙동348021915B통영시13.48<NA>속성입력완료횡단보도낮춤미분류128.42324134.843
5037보도턱20210800232021080009중앙동348021915B통영시14.18<NA>속성입력완료횡단보도낮춤미분류128.42313634.842844
5038보도턱20210800242021080009중앙동348021915B통영시15.86<NA>속성입력완료횡단보도낮춤미분류128.42275634.843019
5039장애인편의시설20210800252021080008중앙동348021915B통영시3.323.93속성입력완료장애인유도블록기타128.42337334.844554
5040장애인편의시설20210800262021080009중앙동348021915B통영시1.910.95속성입력완료장애인유도블록기타128.42284334.84324
5041장애인편의시설20210800272021080009중앙동348021915B통영시5.563.34속성입력완료장애인유도블록점자_기타128.42283334.843246
5042장애인편의시설20210800282021080009중앙동348021915B통영시1.930.96속성입력완료장애인유도블록기타128.42286234.843198

Duplicate rows

Most frequently occurring

지형지물부호관리번호도로구간번호행정읍면동도엽번호관리기관유도블럭연장(m)유도블럭면적(제곱미터)대장초기화여부장애인편의시설구분장애인편의시설재질경도위도# duplicates
0보도턱208412127도천동348021921A통영시<NA><NA>속성입력완료장애인유도블록점자_콘크리트128.40047734.8391762
1보도턱208512127도천동348021921A통영시<NA><NA>속성입력완료장애인유도블록유도_콘크리트128.40047234.8391752
2장애인편의시설118012127도천동348021921A통영시<NA><NA>속성입력완료횡단보도낮춤기타128.40048134.8391792