Overview

Dataset statistics

Number of variables13
Number of observations1439
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.5 KiB
Average record size in memory107.1 B

Variable types

Numeric3
Categorical7
Text1
DateTime1
Boolean1

Dataset

Description서울특별시 성동구에 위치한 과속방지턱(번호, 경도, 위도, 데이터명, 코드명, 어린이보호구역명, 시도명, 읍면동명 등)에 대한 현황 정보입니다.
Author서울특별시 성동구
URLhttps://www.data.go.kr/data/15111353/fileData.do

Alerts

데이터명 has constant value ""Constant
시도명 has constant value ""Constant
관할경찰서명 has constant value ""Constant
데이터 기준일 has constant value ""Constant
읍면동명 is highly overall correlated with 번호 and 5 other fieldsHigh correlation
시군구명 is highly overall correlated with 어린이보호구역명 and 2 other fieldsHigh correlation
어린이보호구역명 is highly overall correlated with 번호 and 5 other fieldsHigh correlation
번호 is highly overall correlated with 어린이보호구역명 and 2 other fieldsHigh correlation
X좌표(경도) is highly overall correlated with 어린이보호구역명 and 1 other fieldsHigh correlation
Y좌표(위도) is highly overall correlated with 어린이보호구역명 and 1 other fieldsHigh correlation
방지턱 종류 is highly overall correlated with 시군구명High correlation
연속형여부 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
시군구명 is highly imbalanced (87.8%)Imbalance
방지턱 종류 is highly imbalanced (50.6%)Imbalance
번호 has unique valuesUnique
코드명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:29:56.932812
Analysis finished2023-12-12 03:29:59.190845
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1439
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720
Minimum1
Maximum1439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T12:29:59.286311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.9
Q1360.5
median720
Q31079.5
95-th percentile1367.1
Maximum1439
Range1438
Interquartile range (IQR)719

Descriptive statistics

Standard deviation415.54783
Coefficient of variation (CV)0.57714977
Kurtosis-1.2
Mean720
Median Absolute Deviation (MAD)360
Skewness0
Sum1036080
Variance172680
MonotonicityStrictly increasing
2023-12-12T12:29:59.505920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
968 1
 
0.1%
966 1
 
0.1%
965 1
 
0.1%
964 1
 
0.1%
963 1
 
0.1%
962 1
 
0.1%
961 1
 
0.1%
960 1
 
0.1%
959 1
 
0.1%
Other values (1429) 1429
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 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%
ValueCountFrequency (%)
1439 1
0.1%
1438 1
0.1%
1437 1
0.1%
1436 1
0.1%
1435 1
0.1%
1434 1
0.1%
1433 1
0.1%
1432 1
0.1%
1431 1
0.1%
1430 1
0.1%

X좌표(경도)
Real number (ℝ)

HIGH CORRELATION 

Distinct1434
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03734
Minimum127.00963
Maximum127.07251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T12:29:59.744917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.00963
5-th percentile127.01508
Q1127.02672
median127.03406
Q3127.04892
95-th percentile127.06398
Maximum127.07251
Range0.0628762
Interquartile range (IQR)0.02219595

Descriptive statistics

Standard deviation0.01498747
Coefficient of variation (CV)0.00011797689
Kurtosis-0.791453
Mean127.03734
Median Absolute Deviation (MAD)0.0111678
Skewness0.33789509
Sum182806.73
Variance0.00022462426
MonotonicityNot monotonic
2023-12-12T12:29:59.963195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0328311 2
 
0.1%
127.0364011 2
 
0.1%
127.0339852 2
 
0.1%
127.0331041 2
 
0.1%
127.0342393 2
 
0.1%
127.0156476 1
 
0.1%
127.0163296 1
 
0.1%
127.0107578 1
 
0.1%
127.0163299 1
 
0.1%
127.0167283 1
 
0.1%
Other values (1424) 1424
99.0%
ValueCountFrequency (%)
127.0096347 1
0.1%
127.0099845 1
0.1%
127.0099887 1
0.1%
127.0100785 1
0.1%
127.0101761 1
0.1%
127.0103351 1
0.1%
127.0104356 1
0.1%
127.0105738 1
0.1%
127.0107448 1
0.1%
127.0107578 1
0.1%
ValueCountFrequency (%)
127.0725109 1
0.1%
127.0719079 1
0.1%
127.0713617 1
0.1%
127.0713166 1
0.1%
127.0711332 1
0.1%
127.0711271 1
0.1%
127.0708449 1
0.1%
127.070539 1
0.1%
127.0704275 1
0.1%
127.0701657 1
0.1%

Y좌표(위도)
Real number (ℝ)

HIGH CORRELATION 

Distinct1434
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.554325
Minimum37.536776
Maximum37.571706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T12:30:00.192295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.536776
5-th percentile37.539817
Q137.545729
median37.554689
Q337.562284
95-th percentile37.569153
Maximum37.571706
Range0.0349298
Interquartile range (IQR)0.0165547

Descriptive statistics

Standard deviation0.0095229786
Coefficient of variation (CV)0.00025357875
Kurtosis-1.1890749
Mean37.554325
Median Absolute Deviation (MAD)0.008229
Skewness-0.0079633562
Sum54040.673
Variance9.0687121 × 10-5
MonotonicityNot monotonic
2023-12-12T12:30:00.397900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5639946 2
 
0.1%
37.5542867 2
 
0.1%
37.5631354 2
 
0.1%
37.565409 2
 
0.1%
37.5520809 2
 
0.1%
37.5411292 1
 
0.1%
37.5412266 1
 
0.1%
37.540154 1
 
0.1%
37.539824 1
 
0.1%
37.5405141 1
 
0.1%
Other values (1424) 1424
99.0%
ValueCountFrequency (%)
37.5367758 1
0.1%
37.5370915 1
0.1%
37.537207 1
0.1%
37.5372518 1
0.1%
37.5372924 1
0.1%
37.5373998 1
0.1%
37.5374238 1
0.1%
37.5374404 1
0.1%
37.537634 1
0.1%
37.5376844 1
0.1%
ValueCountFrequency (%)
37.5717056 1
0.1%
37.5715966 1
0.1%
37.571579 1
0.1%
37.5715173 1
0.1%
37.5712189 1
0.1%
37.5711545 1
0.1%
37.5710171 1
0.1%
37.5709969 1
0.1%
37.5709706 1
0.1%
37.5709175 1
0.1%

데이터명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
과속방지턱
1439 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과속방지턱 1439
100.0%

Length

2023-12-12T12:30:00.600320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:00.750396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과속방지턱 1439
100.0%

코드명
Text

UNIQUE 

Distinct1439
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T12:30:01.214140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5830438
Min length8

Characters and Unicode

Total characters12351
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1439 ?
Unique (%)100.0%

Sample

1st rowAK_A_0001
2nd rowAK_A_0002
3rd rowAK_A_0003
4th rowAJ_A_0004
5th rowAJ_A_0005
ValueCountFrequency (%)
ak_a_0001 1
 
0.1%
ae_a_0203 1
 
0.1%
ae_a_0178 1
 
0.1%
ae_a_0177 1
 
0.1%
ae_a_0176 1
 
0.1%
ae_a_0175 1
 
0.1%
ae_a_0174 1
 
0.1%
ah_a_0173 1
 
0.1%
ah_a_0172 1
 
0.1%
ah_a_0171 1
 
0.1%
Other values (1429) 1429
99.3%
2023-12-12T12:30:01.883930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 2878
23.3%
A 2398
19.4%
0 2296
18.6%
1 807
 
6.5%
2 682
 
5.5%
3 316
 
2.6%
4 297
 
2.4%
5 291
 
2.4%
6 275
 
2.2%
7 268
 
2.2%
Other values (27) 1843
14.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5756
46.6%
Uppercase Letter 3717
30.1%
Connector Punctuation 2878
23.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2398
64.5%
X 191
 
5.1%
M 96
 
2.6%
U 87
 
2.3%
Z 85
 
2.3%
L 80
 
2.2%
H 73
 
2.0%
O 69
 
1.9%
E 64
 
1.7%
I 51
 
1.4%
Other values (16) 523
 
14.1%
Decimal Number
ValueCountFrequency (%)
0 2296
39.9%
1 807
 
14.0%
2 682
 
11.8%
3 316
 
5.5%
4 297
 
5.2%
5 291
 
5.1%
6 275
 
4.8%
7 268
 
4.7%
8 263
 
4.6%
9 261
 
4.5%
Connector Punctuation
ValueCountFrequency (%)
_ 2878
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8634
69.9%
Latin 3717
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2398
64.5%
X 191
 
5.1%
M 96
 
2.6%
U 87
 
2.3%
Z 85
 
2.3%
L 80
 
2.2%
H 73
 
2.0%
O 69
 
1.9%
E 64
 
1.7%
I 51
 
1.4%
Other values (16) 523
 
14.1%
Common
ValueCountFrequency (%)
_ 2878
33.3%
0 2296
26.6%
1 807
 
9.3%
2 682
 
7.9%
3 316
 
3.7%
4 297
 
3.4%
5 291
 
3.4%
6 275
 
3.2%
7 268
 
3.1%
8 263
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 2878
23.3%
A 2398
19.4%
0 2296
18.6%
1 807
 
6.5%
2 682
 
5.5%
3 316
 
2.6%
4 297
 
2.4%
5 291
 
2.4%
6 275
 
2.2%
7 268
 
2.2%
Other values (27) 1843
14.9%

어린이보호구역명
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
행응 어린이집
124 
성수 초등학교
 
80
경동(성수) 유치원
 
67
경수 초등학교
 
63
마장 초등학교
 
53
Other values (36)
1052 

Length

Max length12
Median length7
Mean length7.3752606
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구립왕십리하나 어린이집
2nd row구립왕십리하나 어린이집
3rd row구립왕십리하나 어린이집
4th row무학 유치원
5th row무학 유치원

Common Values

ValueCountFrequency (%)
행응 어린이집 124
 
8.6%
성수 초등학교 80
 
5.6%
경동(성수) 유치원 67
 
4.7%
경수 초등학교 63
 
4.4%
마장 초등학교 53
 
3.7%
송곡유치원 52
 
3.6%
아이들세상유치원 50
 
3.5%
행현 초등학교 49
 
3.4%
동명 초등학교 47
 
3.3%
율화유치원 46
 
3.2%
Other values (31) 808
56.2%

Length

2023-12-12T12:30:02.106880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초등학교 750
27.7%
어린이집 300
 
11.1%
유치원 209
 
7.7%
행응 124
 
4.6%
마장 82
 
3.0%
성수 80
 
3.0%
경동(성수 67
 
2.5%
경수 63
 
2.3%
송곡유치원 52
 
1.9%
아이들세상유치원 50
 
1.8%
Other values (33) 930
34.4%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
서울특별시
1439 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 1439
100.0%

Length

2023-12-12T12:30:02.248725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:02.365001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 1439
100.0%

시군구명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
성동구
1415 
성동구
 
24

Length

Max length4
Median length3
Mean length3.0166782
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동구 1415
98.3%
성동구 24
 
1.7%

Length

2023-12-12T12:30:02.489094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:02.980295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동구 1439
100.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
마장동
144 
성수2가3동
122 
행당2동
116 
용답동
114 
응봉동
107 
Other values (21)
836 

Length

Max length7
Median length6
Mean length4.4246004
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row왕십리동
2nd row왕십리동
3rd row왕십리동
4th row왕십리2동
5th row왕십리2동

Common Values

ValueCountFrequency (%)
마장동 144
 
10.0%
성수2가3동 122
 
8.5%
행당2동 116
 
8.1%
용답동 114
 
7.9%
응봉동 107
 
7.4%
금호4가동 99
 
6.9%
옥수동 99
 
6.9%
성수1가1동 78
 
5.4%
왕십리2동 74
 
5.1%
왕십리도선동 67
 
4.7%
Other values (16) 419
29.1%

Length

2023-12-12T12:30:03.141869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마장동 144
 
10.0%
성수2가3동 122
 
8.5%
행당2동 116
 
8.1%
용답동 114
 
7.9%
응봉동 107
 
7.4%
금호4가동 101
 
7.0%
옥수동 99
 
6.9%
금호1가동 86
 
6.0%
성수1가1동 78
 
5.4%
왕십리2동 74
 
5.1%
Other values (14) 398
27.7%

관할경찰서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
성동경찰서
1439 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동경찰서 1439
100.0%

Length

2023-12-12T12:30:03.298372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:03.427996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동경찰서 1439
100.0%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2022-12-15 00:00:00
Maximum2022-12-15 00:00:00
2023-12-12T12:30:03.528095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:30:03.656186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

방지턱 종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
원호형 과속방지턱
905 
착시 가상 과속방지턱
174 
횡단보도형 과속방지턱
98 
원호형 과속 방지턱
97 
조립식 과속방지턱
 
83
Other values (10)
 
82

Length

Max length12
Median length9
Mean length9.4544823
Min length8

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row원호형 과속방지턱
2nd row횡단보도형 과속방지턱
3rd row원호형 과속방지턱
4th row원호형 과속방지턱
5th row원호형 과속방지턱

Common Values

ValueCountFrequency (%)
원호형 과속방지턱 905
62.9%
착시 가상 과속방지턱 174
 
12.1%
횡단보도형 과속방지턱 98
 
6.8%
원호형 과속 방지턱 97
 
6.7%
조립식 과속방지턱 83
 
5.8%
원호형과속방지턱 37
 
2.6%
횡단보도형과속방지턱 10
 
0.7%
조립식 과속방지턱 10
 
0.7%
착시가상과속방지턱 9
 
0.6%
원호형 과속 방지턱 9
 
0.6%
Other values (5) 7
 
0.5%

Length

2023-12-12T12:30:03.827731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과속방지턱 1277
41.1%
원호형 1013
32.6%
착시 176
 
5.7%
가상 176
 
5.7%
과속 106
 
3.4%
방지턱 106
 
3.4%
횡단보도형 99
 
3.2%
조립식 93
 
3.0%
원호형과속방지턱 37
 
1.2%
횡단보도형과속방지턱 10
 
0.3%
Other values (3) 11
 
0.4%

연속형여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
855 
True
584 
ValueCountFrequency (%)
False 855
59.4%
True 584
40.6%
2023-12-12T12:30:03.976579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T12:29:58.327065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:57.642020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:58.005305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:58.471395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:57.761214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:58.107459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:58.614429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:57.896162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:58.215854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:30:04.074894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호X좌표(경도)Y좌표(위도)어린이보호구역명시군구명읍면동명방지턱 종류연속형여부
번호1.0000.8870.8770.9910.4530.9430.6100.679
X좌표(경도)0.8871.0000.7830.9780.3590.9430.4750.436
Y좌표(위도)0.8770.7831.0000.9580.2810.9120.4690.316
어린이보호구역명0.9910.9780.9581.0000.9840.9910.8210.731
시군구명0.4530.3590.2810.9841.0001.0000.7790.024
읍면동명0.9430.9430.9120.9911.0001.0000.8370.696
방지턱 종류0.6100.4750.4690.8210.7790.8371.0000.265
연속형여부0.6790.4360.3160.7310.0240.6960.2651.000
2023-12-12T12:30:04.226235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명시군구명연속형여부방지턱 종류어린이보호구역명
읍면동명1.0000.9920.5590.4300.818
시군구명0.9921.0000.0150.7310.944
연속형여부0.5590.0151.0000.2400.620
방지턱 종류0.4300.7310.2401.0000.385
어린이보호구역명0.8180.9440.6200.3851.000
2023-12-12T12:30:04.350431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호X좌표(경도)Y좌표(위도)어린이보호구역명시군구명읍면동명방지턱 종류연속형여부
번호1.0000.263-0.4400.9060.3470.7250.2770.528
X좌표(경도)0.2631.0000.0370.8290.2740.7250.1970.334
Y좌표(위도)-0.4400.0371.0000.7430.2150.6370.1940.242
어린이보호구역명0.9060.8290.7431.0000.9440.8180.3850.620
시군구명0.3470.2740.2150.9441.0000.9920.7310.015
읍면동명0.7250.7250.6370.8180.9921.0000.4300.559
방지턱 종류0.2770.1970.1940.3850.7310.4301.0000.240
연속형여부0.5280.3340.2420.6200.0150.5590.2401.000

Missing values

2023-12-12T12:29:58.829148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:29:59.082556image/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.

Sample

번호X좌표(경도)Y좌표(위도)데이터명코드명어린이보호구역명시도명시군구명읍면동명관할경찰서명데이터 기준일방지턱 종류연속형여부
01127.03247937.562948과속방지턱AK_A_0001구립왕십리하나 어린이집서울특별시성동구왕십리동성동경찰서2022-12-15원호형 과속방지턱Y
12127.0322237.562513과속방지턱AK_A_0002구립왕십리하나 어린이집서울특별시성동구왕십리동성동경찰서2022-12-15횡단보도형 과속방지턱N
23127.03311437.562027과속방지턱AK_A_0003구립왕십리하나 어린이집서울특별시성동구왕십리동성동경찰서2022-12-15원호형 과속방지턱N
34127.03214837.56199과속방지턱AJ_A_0004무학 유치원서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
45127.03201537.562056과속방지턱AJ_A_0005무학 유치원서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
56127.03143537.562862과속방지턱AJ_A_0006무학 유치원서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
67127.03126637.563112과속방지턱AJ_A_0007무학 유치원서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
78127.03028237.563615과속방지턱AI_A_0008무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
89127.03037437.563741과속방지턱AI_A_0009무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
910127.03046637.563144과속방지턱AI_A_0010무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15원호형 과속방지턱N
번호X좌표(경도)Y좌표(위도)데이터명코드명어린이보호구역명시도명시군구명읍면동명관할경찰서명데이터 기준일방지턱 종류연속형여부
14291430127.05750837.545683과속방지턱AA_A_0265성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14301431127.05763137.546207과속방지턱AA_A_0266성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14311432127.05855437.545998과속방지턱AA_A_0267성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14321433127.05801137.544675과속방지턱AA_A_0268성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14331434127.05923837.544201과속방지턱AA_A_0269성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14341435127.05958137.544943과속방지턱AA_A_0270성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14351436127.05986637.545544과속방지턱AA_A_0271성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14361437127.06056737.544677과속방지턱AA_A_0272성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14371438127.06108237.544629과속방지턱AA_A_0273성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N
14381439127.06136737.54522과속방지턱AA_A_0274성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15원호형 과속방지턱N