Overview

Dataset statistics

Number of variables11
Number of observations654
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.2 KiB
Average record size in memory91.2 B

Variable types

Numeric3
Categorical7
Text1

Dataset

Description서울특별시 성동구에 위치한 보호구역 표지판(번호, 경도, 위도, 데이터명, 코드명, 어린이보호구역명, 시도명, 읍면동명 등)에 대한 현황 정보입니다.
Author서울특별시 성동구
URLhttps://www.data.go.kr/data/15111356/fileData.do

Alerts

관할경찰서명 is highly overall correlated with 데이터명 and 5 other fieldsHigh correlation
읍면동명 is highly overall correlated with 번호 and 8 other fieldsHigh correlation
시도명 is highly overall correlated with 데이터명 and 3 other fieldsHigh correlation
어린이보호구역명 is highly overall correlated with 번호 and 8 other fieldsHigh correlation
데이터 기준일 is highly overall correlated with 데이터명 and 3 other fieldsHigh correlation
데이터명 is highly overall correlated with 번호 and 8 other fieldsHigh correlation
시군구명 is highly overall correlated with 데이터명 and 3 other fieldsHigh correlation
번호 is highly overall correlated with 데이터명 and 2 other fieldsHigh correlation
X좌표(경도) is highly overall correlated with 데이터명 and 2 other fieldsHigh correlation
Y좌표(위도) is highly overall correlated with 데이터명 and 2 other fieldsHigh correlation
데이터명 is highly imbalanced (98.3%)Imbalance
시도명 is highly imbalanced (98.3%)Imbalance
시군구명 is highly imbalanced (98.3%)Imbalance
관할경찰서명 is highly imbalanced (94.9%)Imbalance
데이터 기준일 is highly imbalanced (98.3%)Imbalance
번호 has unique valuesUnique
코드명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:46:22.950848
Analysis finished2023-12-12 00:46:25.590199
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct654
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.5
Minimum1
Maximum654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:46:25.696584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.65
Q1164.25
median327.5
Q3490.75
95-th percentile621.35
Maximum654
Range653
Interquartile range (IQR)326.5

Descriptive statistics

Standard deviation188.93782
Coefficient of variation (CV)0.57690938
Kurtosis-1.2
Mean327.5
Median Absolute Deviation (MAD)163.5
Skewness0
Sum214185
Variance35697.5
MonotonicityStrictly increasing
2023-12-12T09:46:25.869839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
451 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
437 1
 
0.2%
438 1
 
0.2%
439 1
 
0.2%
440 1
 
0.2%
Other values (644) 644
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
654 1
0.2%
653 1
0.2%
652 1
0.2%
651 1
0.2%
650 1
0.2%
649 1
0.2%
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%

X좌표(경도)
Real number (ℝ)

HIGH CORRELATION 

Distinct641
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03612
Minimum127.01072
Maximum127.0703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:46:26.045042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01072
5-th percentile127.01467
Q1127.02238
median127.03417
Q3127.04844
95-th percentile127.06352
Maximum127.0703
Range0.0595729
Interquartile range (IQR)0.026057925

Descriptive statistics

Standard deviation0.015630679
Coefficient of variation (CV)0.00012304122
Kurtosis-0.99721289
Mean127.03612
Median Absolute Deviation (MAD)0.013422
Skewness0.30491134
Sum83081.62
Variance0.00024431812
MonotonicityNot monotonic
2023-12-12T09:46:26.208066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0624194 3
 
0.5%
127.0575828 2
 
0.3%
127.0165499 2
 
0.3%
127.0577823 2
 
0.3%
127.0290746 2
 
0.3%
127.0199516 2
 
0.3%
127.029934 2
 
0.3%
127.0346639 2
 
0.3%
127.0109653 2
 
0.3%
127.0603638 2
 
0.3%
Other values (631) 633
96.8%
ValueCountFrequency (%)
127.010725 1
0.2%
127.0109653 2
0.3%
127.0112202 1
0.2%
127.011243 1
0.2%
127.0114923 1
0.2%
127.0118363 1
0.2%
127.0120513 1
0.2%
127.0121051 1
0.2%
127.0122629 1
0.2%
127.012367 1
0.2%
ValueCountFrequency (%)
127.0702979 1
0.2%
127.0700838 1
0.2%
127.0699202 1
0.2%
127.0699041 1
0.2%
127.0698858 1
0.2%
127.0698542 1
0.2%
127.069853 1
0.2%
127.0696735 1
0.2%
127.0696545 1
0.2%
127.069345 1
0.2%

Y좌표(위도)
Real number (ℝ)

HIGH CORRELATION 

Distinct640
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.553653
Minimum37.538012
Maximum37.571075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:46:26.377163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.538012
5-th percentile37.53989
Q137.545168
median37.553488
Q337.562059
95-th percentile37.568448
Maximum37.571075
Range0.0330636
Interquartile range (IQR)0.016891075

Descriptive statistics

Standard deviation0.0095562845
Coefficient of variation (CV)0.00025447017
Kurtosis-1.2914925
Mean37.553653
Median Absolute Deviation (MAD)0.00839315
Skewness0.10195476
Sum24560.089
Variance9.1322574 × 10-5
MonotonicityNot monotonic
2023-12-12T09:46:26.530474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5440992 3
 
0.5%
37.5481073 2
 
0.3%
37.5601153 2
 
0.3%
37.5576509 2
 
0.3%
37.5405888 2
 
0.3%
37.5392502 2
 
0.3%
37.5604234 2
 
0.3%
37.5640028 2
 
0.3%
37.5552715 2
 
0.3%
37.5689391 2
 
0.3%
Other values (630) 633
96.8%
ValueCountFrequency (%)
37.5380116 1
0.2%
37.5381719 1
0.2%
37.5381735 1
0.2%
37.53832 1
0.2%
37.5383396 1
0.2%
37.5384483 1
0.2%
37.5385914 1
0.2%
37.5386009 1
0.2%
37.5386039 1
0.2%
37.5386079 1
0.2%
ValueCountFrequency (%)
37.5710752 1
0.2%
37.5709443 1
0.2%
37.5702371 1
0.2%
37.5701303 1
0.2%
37.5701208 1
0.2%
37.5701085 1
0.2%
37.5698375 1
0.2%
37.5697894 1
0.2%
37.5696586 1
0.2%
37.5695103 1
0.2%

데이터명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
보호구역표지판
653 
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9954128
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
보호구역표지판 653
99.8%
<NA> 1
 
0.2%

Length

2023-12-12T09:46:26.731543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:46:26.869248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호구역표지판 653
99.8%
na 1
 
0.2%

코드명
Text

UNIQUE 

Distinct654
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-12T09:46:27.194880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.4663609
Min length7

Characters and Unicode

Total characters5537
Distinct characters44
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique654 ?
Unique (%)100.0%

Sample

1st rowAI_E_0001
2nd rowAI_E_0002
3rd rowAI_E_0003
4th rowAI_E_0004
5th rowAI_E_0005
ValueCountFrequency (%)
ai_e_0001 1
 
0.2%
ag_e_0128 1
 
0.2%
ae_e_0110 1
 
0.2%
ae_e_0118 1
 
0.2%
ae_e_0111 1
 
0.2%
ae_e_0112 1
 
0.2%
ae_e_0113 1
 
0.2%
ae_e_0114 1
 
0.2%
ae_e_0115 1
 
0.2%
ae_e_0116 1
 
0.2%
Other values (644) 644
98.5%
2023-12-12T09:46:27.782000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 1306
23.6%
0 1297
23.4%
E 690
12.5%
A 355
 
6.4%
1 328
 
5.9%
2 158
 
2.9%
3 148
 
2.7%
4 128
 
2.3%
5 115
 
2.1%
7 115
 
2.1%
Other values (34) 897
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2612
47.2%
Uppercase Letter 1612
29.1%
Connector Punctuation 1306
23.6%
Other Letter 7
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 690
42.8%
A 355
22.0%
M 54
 
3.3%
L 44
 
2.7%
C 40
 
2.5%
X 40
 
2.5%
B 39
 
2.4%
D 39
 
2.4%
U 38
 
2.4%
T 31
 
1.9%
Other values (16) 242
 
15.0%
Decimal Number
ValueCountFrequency (%)
0 1297
49.7%
1 328
 
12.6%
2 158
 
6.0%
3 148
 
5.7%
4 128
 
4.9%
5 115
 
4.4%
7 115
 
4.4%
6 114
 
4.4%
8 105
 
4.0%
9 104
 
4.0%
Other Letter
ValueCountFrequency (%)
표 1
14.3%
판 1
14.3%
역 1
14.3%
구 1
14.3%
호 1
14.3%
보 1
14.3%
지 1
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3918
70.8%
Latin 1612
29.1%
Hangul 7
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 690
42.8%
A 355
22.0%
M 54
 
3.3%
L 44
 
2.7%
C 40
 
2.5%
X 40
 
2.5%
B 39
 
2.4%
D 39
 
2.4%
U 38
 
2.4%
T 31
 
1.9%
Other values (16) 242
 
15.0%
Common
ValueCountFrequency (%)
_ 1306
33.3%
0 1297
33.1%
1 328
 
8.4%
2 158
 
4.0%
3 148
 
3.8%
4 128
 
3.3%
5 115
 
2.9%
7 115
 
2.9%
6 114
 
2.9%
8 105
 
2.7%
Hangul
ValueCountFrequency (%)
표 1
14.3%
판 1
14.3%
역 1
14.3%
구 1
14.3%
호 1
14.3%
보 1
14.3%
지 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5530
99.9%
Hangul 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 1306
23.6%
0 1297
23.5%
E 690
12.5%
A 355
 
6.4%
1 328
 
5.9%
2 158
 
2.9%
3 148
 
2.7%
4 128
 
2.3%
5 115
 
2.1%
7 115
 
2.1%
Other values (27) 890
16.1%
Hangul
ValueCountFrequency (%)
표 1
14.3%
판 1
14.3%
역 1
14.3%
구 1
14.3%
호 1
14.3%
보 1
14.3%
지 1
14.3%

어린이보호구역명
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
금호 초등학교
 
40
성수 초등학교
 
39
마장 초등학교
 
36
경동(성수) 유치원
 
34
경수 초등학교
 
32
Other values (36)
473 

Length

Max length12
Median length7
Mean length7.4541284
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row무학 초등학교
2nd row무학 초등학교
3rd row무학 초등학교
4th row무학 초등학교
5th row무학 초등학교

Common Values

ValueCountFrequency (%)
금호 초등학교 40
 
6.1%
성수 초등학교 39
 
6.0%
마장 초등학교 36
 
5.5%
경동(성수) 유치원 34
 
5.2%
경수 초등학교 32
 
4.9%
동호 초등학교 31
 
4.7%
행당 초등학교 28
 
4.3%
옥수 초등학교 27
 
4.1%
동명 초등학교 26
 
4.0%
신금호자이 어린이집 24
 
3.7%
Other values (31) 337
51.5%

Length

2023-12-12T09:46:27.992424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초등학교 431
34.2%
유치원 89
 
7.1%
어린이집 79
 
6.3%
마장 43
 
3.4%
금호 40
 
3.2%
성수 39
 
3.1%
경동(성수 34
 
2.7%
경수 32
 
2.5%
동호 31
 
2.5%
행당 28
 
2.2%
Other values (33) 414
32.9%

시도명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
서울특별시
653 
숭신 초등학교
 
1

Length

Max length7
Median length5
Mean length5.0030581
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 653
99.8%
숭신 초등학교 1
 
0.2%

Length

2023-12-12T09:46:28.186867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:46:28.329350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 653
99.7%
숭신 1
 
0.2%
초등학교 1
 
0.2%

시군구명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
성동구
653 
서울특별시
 
1

Length

Max length5
Median length3
Mean length3.0030581
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
성동구 653
99.8%
서울특별시 1
 
0.2%

Length

2023-12-12T09:46:28.481885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:46:28.648984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동구 653
99.8%
서울특별시 1
 
0.2%

읍면동명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
마장동
95 
금호4가동
66 
성수2가3동
57 
옥수동
54 
왕십리2동
41 
Other values (17)
341 

Length

Max length7
Median length6
Mean length4.5412844
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
마장동 95
14.5%
금호4가동 66
 
10.1%
성수2가3동 57
 
8.7%
옥수동 54
 
8.3%
왕십리2동 41
 
6.3%
금호2,3가동 40
 
6.1%
성수1가1동 33
 
5.0%
사근동 31
 
4.7%
행당1동 30
 
4.6%
응봉동 27
 
4.1%
Other values (12) 180
27.5%

Length

2023-12-12T09:46:28.821312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마장동 95
14.5%
금호4가동 66
 
10.1%
성수2가3동 57
 
8.7%
옥수동 54
 
8.3%
왕십리2동 41
 
6.3%
금호2,3가동 40
 
6.1%
성수1가1동 33
 
5.0%
사근동 31
 
4.7%
행당1동 30
 
4.6%
응봉동 27
 
4.1%
Other values (12) 180
27.5%

관할경찰서명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
성동경찰서
648 
성동경찰서
 
5
왕십리도선동
 
1

Length

Max length6
Median length5
Mean length5.0091743
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
성동경찰서 648
99.1%
성동경찰서 5
 
0.8%
왕십리도선동 1
 
0.2%

Length

2023-12-12T09:46:28.992456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:46:29.134302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동경찰서 653
99.8%
왕십리도선동 1
 
0.2%

데이터 기준일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2022-12-15
653 
성동경찰서
 
1

Length

Max length10
Median length10
Mean length9.9923547
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2022-12-15
2nd row2022-12-15
3rd row2022-12-15
4th row2022-12-15
5th row2022-12-15

Common Values

ValueCountFrequency (%)
2022-12-15 653
99.8%
성동경찰서 1
 
0.2%

Length

2023-12-12T09:46:29.267245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:46:29.400260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-15 653
99.8%
성동경찰서 1
 
0.2%

Interactions

2023-12-12T09:46:24.521231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:23.753596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:24.105514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:24.971037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:23.868868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:24.239018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:25.103798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:23.996605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:46:24.380317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:46:29.492743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호X좌표(경도)Y좌표(위도)어린이보호구역명시도명시군구명읍면동명관할경찰서명데이터 기준일
번호1.0000.9370.9060.9910.0140.0140.9480.2050.014
X좌표(경도)0.9371.0000.8300.9850.0000.0000.9500.0980.000
Y좌표(위도)0.9060.8301.0000.9680.0000.0000.9130.1340.000
어린이보호구역명0.9910.9850.9681.0001.0001.0000.9970.9111.000
시도명0.0140.0000.0001.0001.0000.7051.0001.0000.705
시군구명0.0140.0000.0001.0000.7051.0001.0001.0000.705
읍면동명0.9480.9500.9130.9971.0001.0001.0000.8951.000
관할경찰서명0.2050.0980.1340.9111.0001.0000.8951.0001.000
데이터 기준일0.0140.0000.0001.0000.7050.7051.0001.0001.000
2023-12-12T09:46:29.661289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할경찰서명읍면동명시도명어린이보호구역명데이터 기준일데이터명시군구명
관할경찰서명1.0000.7460.9990.7300.9991.0000.999
읍면동명0.7461.0000.9850.9200.9851.0000.985
시도명0.9990.9851.0000.9700.4981.0000.498
어린이보호구역명0.7300.9200.9701.0000.9701.0000.970
데이터 기준일0.9990.9850.4980.9701.0001.0000.498
데이터명1.0001.0001.0001.0001.0001.0001.000
시군구명0.9990.9850.4980.9700.4981.0001.000
2023-12-12T09:46:29.818956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호X좌표(경도)Y좌표(위도)데이터명어린이보호구역명시도명시군구명읍면동명관할경찰서명데이터 기준일
번호1.0000.358-0.4101.0000.8930.0100.0100.7460.1240.010
X좌표(경도)0.3581.0000.0161.0000.8550.0000.0000.7550.0570.000
Y좌표(위도)-0.4100.0161.0001.0000.7710.0000.0000.6460.0800.000
데이터명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이보호구역명0.8930.8550.7711.0001.0000.9700.9700.9200.7300.970
시도명0.0100.0000.0001.0000.9701.0000.4980.9850.9990.498
시군구명0.0100.0000.0001.0000.9700.4981.0000.9850.9990.498
읍면동명0.7460.7550.6461.0000.9200.9850.9851.0000.7460.985
관할경찰서명0.1240.0570.0801.0000.7300.9990.9990.7461.0000.999
데이터 기준일0.0100.0000.0001.0000.9700.4980.4980.9850.9991.000

Missing values

2023-12-12T09:46:25.291247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:46:25.490763image/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 기준일
01127.03027637.563607보호구역표지판AI_E_0001무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
12127.03037737.563732보호구역표지판AI_E_0002무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
23127.03029837.563346보호구역표지판AI_E_0003무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
34127.03062437.563006보호구역표지판AI_E_0004무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
45127.03078337.562821보호구역표지판AI_E_0005무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
56127.03071637.562383보호구역표지판AI_E_0006무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
67127.03072437.562165보호구역표지판AI_E_0007무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
78127.03084537.561622보호구역표지판AI_E_0008무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
89127.03084437.561608보호구역표지판AI_E_0009무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
910127.03102637.561436보호구역표지판AI_E_0010무학 초등학교서울특별시성동구왕십리2동성동경찰서2022-12-15
번호X좌표(경도)Y좌표(위도)데이터명코드명어린이보호구역명시도명시군구명읍면동명관할경찰서명데이터 기준일
644645127.06241937.544099보호구역표지판AA_E_0123성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
645646127.06241937.544099보호구역표지판AA_E_0124성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
646647127.06241937.544099보호구역표지판AA_E_0125성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
647648127.06270437.544566보호구역표지판AA_E_0126성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
648649127.06036437.545583보호구역표지판AA_E_0127성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
649650127.06036437.545583보호구역표지판AA_E_0128성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
650651127.05957737.545815보호구역표지판AA_E_0129성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
651652127.05958137.545814보호구역표지판AA_E_0130성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
652653127.05878937.546051보호구역표지판AA_E_0131성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15
653654127.05878937.546053보호구역표지판AA_E_0132성수 초등학교서울특별시성동구성수2가3동성동경찰서2022-12-15