Overview

Dataset statistics

Number of variables13
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory110.9 B

Variable types

Categorical9
Text2
Numeric2

Dataset

Description평택시 물놀이안전시설 현황에 대한 데이터로 설치위치, 물놀이위험안내표지판개수, 사망사고안내표지판개수, 인명구조함개수 등의 항목을 제공합니다.※ 문의 : 평택시청 안전총괄과(031-8024-4913)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15101608/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 구분High correlation
경도 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
물놀이위험안내표지판개수 is highly overall correlated with 인명구조함개수High correlation
인명구조함개수 is highly overall correlated with 물놀이위험안내표지판개수High correlation
사망사고안내표지판개수 is highly imbalanced (73.3%)Imbalance

Reproduction

Analysis started2024-03-14 10:29:46.732662
Analysis finished2024-03-14 10:29:48.851933
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
경기도
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 66
100.0%

Length

2024-03-14T19:29:48.962651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:49.127069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 66
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
평택시
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평택시 66
100.0%

Length

2024-03-14T19:29:49.386866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:49.552799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평택시 66
100.0%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size656.0 B
진위천
26 
안성천
18 
평택호
13 
남양호
5 
저수지
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진위천 26
39.4%
안성천 18
27.3%
평택호 13
19.7%
남양호 5
 
7.6%
저수지 4
 
6.1%

Length

2024-03-14T19:29:49.722708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:49.907477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진위천 26
39.4%
안성천 18
27.3%
평택호 13
19.7%
남양호 5
 
7.6%
저수지 4
 
6.1%

소재지지번주소
Text

Distinct61
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-14T19:29:50.891493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.757576
Min length15

Characters and Unicode

Total characters1304
Distinct characters71
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

Unique57 ?
Unique (%)86.4%

Sample

1st row경기도 평택시 진위면 신리 384
2nd row경기도 평택시 진위면 견산리 639-8
3rd row경기도 평택시 진위면 신리 167
4th row경기도 평택시 진위면 봉남리 398
5th row경기도 평택시 진위면 견산리153
ValueCountFrequency (%)
경기도 66
20.6%
평택시 66
20.6%
진위면 18
 
5.6%
현덕면 14
 
4.4%
권관리 13
 
4.1%
봉남리 8
 
2.5%
오성면 5
 
1.6%
당거리 5
 
1.6%
도일동 4
 
1.2%
956 4
 
1.2%
Other values (86) 117
36.6%
2024-03-14T19:29:52.220688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
19.5%
도 70
 
5.4%
평 70
 
5.4%
택 69
 
5.3%
경 66
 
5.1%
시 66
 
5.1%
기 66
 
5.1%
리 53
 
4.1%
1 50
 
3.8%
- 44
 
3.4%
Other values (61) 496
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
58.1%
Space Separator 254
 
19.5%
Decimal Number 249
 
19.1%
Dash Punctuation 44
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 70
 
9.2%
평 70
 
9.2%
택 69
 
9.1%
경 66
 
8.7%
시 66
 
8.7%
기 66
 
8.7%
리 53
 
7.0%
면 41
 
5.4%
진 18
 
2.4%
위 18
 
2.4%
Other values (49) 220
29.1%
Decimal Number
ValueCountFrequency (%)
1 50
20.1%
2 33
13.3%
4 28
11.2%
3 25
10.0%
6 23
9.2%
0 22
8.8%
5 21
8.4%
7 19
 
7.6%
9 16
 
6.4%
8 12
 
4.8%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
58.1%
Common 547
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 70
 
9.2%
평 70
 
9.2%
택 69
 
9.1%
경 66
 
8.7%
시 66
 
8.7%
기 66
 
8.7%
리 53
 
7.0%
면 41
 
5.4%
진 18
 
2.4%
위 18
 
2.4%
Other values (49) 220
29.1%
Common
ValueCountFrequency (%)
254
46.4%
1 50
 
9.1%
- 44
 
8.0%
2 33
 
6.0%
4 28
 
5.1%
3 25
 
4.6%
6 23
 
4.2%
0 22
 
4.0%
5 21
 
3.8%
7 19
 
3.5%
Other values (2) 28
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 757
58.1%
ASCII 547
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
46.4%
1 50
 
9.1%
- 44
 
8.0%
2 33
 
6.0%
4 28
 
5.1%
3 25
 
4.6%
6 23
 
4.2%
0 22
 
4.0%
5 21
 
3.8%
7 19
 
3.5%
Other values (2) 28
 
5.1%
Hangul
ValueCountFrequency (%)
도 70
 
9.2%
평 70
 
9.2%
택 69
 
9.1%
경 66
 
8.7%
시 66
 
8.7%
기 66
 
8.7%
리 53
 
7.0%
면 41
 
5.4%
진 18
 
2.4%
위 18
 
2.4%
Other values (49) 220
29.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.016759
Minimum36.91386
Maximum37.113176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-03-14T19:29:52.625362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.91386
5-th percentile36.917763
Q136.97188
median37.022018
Q337.097276
95-th percentile37.10138
Maximum37.113176
Range0.199316
Interquartile range (IQR)0.125396

Descriptive statistics

Standard deviation0.067970734
Coefficient of variation (CV)0.0018362151
Kurtosis-1.3861769
Mean37.016759
Median Absolute Deviation (MAD)0.072767
Skewness-0.09513213
Sum2443.1061
Variance0.0046200206
MonotonicityNot monotonic
2024-03-14T19:29:53.090223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.923318 4
 
6.1%
36.983372 2
 
3.0%
37.098321 2
 
3.0%
36.918202 2
 
3.0%
36.971843 1
 
1.5%
36.986762 1
 
1.5%
36.981246 1
 
1.5%
36.98498 1
 
1.5%
36.964775 1
 
1.5%
36.977509 1
 
1.5%
Other values (50) 50
75.8%
ValueCountFrequency (%)
36.91386 1
 
1.5%
36.914449 1
 
1.5%
36.915406 1
 
1.5%
36.917634 1
 
1.5%
36.918149 1
 
1.5%
36.918202 2
3.0%
36.918482 1
 
1.5%
36.923318 4
6.1%
36.923742 1
 
1.5%
36.931717 1
 
1.5%
ValueCountFrequency (%)
37.113176 1
1.5%
37.102419 1
1.5%
37.102224 1
1.5%
37.101979 1
1.5%
37.099585 1
1.5%
37.098737 1
1.5%
37.098641 1
1.5%
37.098493 1
1.5%
37.098321 2
3.0%
37.098302 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01745
Minimum126.86213
Maximum127.11936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-03-14T19:29:53.532934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.86213
5-th percentile126.88959
Q1126.92667
median127.04487
Q3127.08224
95-th percentile127.11419
Maximum127.11936
Range0.257227
Interquartile range (IQR)0.1555665

Descriptive statistics

Standard deviation0.080087456
Coefficient of variation (CV)0.00063052325
Kurtosis-1.3572519
Mean127.01745
Median Absolute Deviation (MAD)0.0593325
Skewness-0.42393426
Sum8383.1518
Variance0.0064140006
MonotonicityNot monotonic
2024-03-14T19:29:53.990035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.92667 4
 
6.1%
127.080624 2
 
3.0%
127.081857 2
 
3.0%
126.916889 2
 
3.0%
126.972846 1
 
1.5%
127.078157 1
 
1.5%
127.09319 1
 
1.5%
127.074516 1
 
1.5%
127.102479 1
 
1.5%
127.0373 1
 
1.5%
Other values (50) 50
75.8%
ValueCountFrequency (%)
126.862129 1
1.5%
126.876721 1
1.5%
126.876854 1
1.5%
126.88394 1
1.5%
126.906525 1
1.5%
126.906628 1
1.5%
126.909628 1
1.5%
126.910766 1
1.5%
126.912639 1
1.5%
126.915689 1
1.5%
ValueCountFrequency (%)
127.119356 1
1.5%
127.117268 1
1.5%
127.115123 1
1.5%
127.11456 1
1.5%
127.113096 1
1.5%
127.109933 1
1.5%
127.10922 1
1.5%
127.108219 1
1.5%
127.102479 1
1.5%
127.095176 1
1.5%

설치위치
Text

Distinct63
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-03-14T19:29:55.085234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length9.030303
Min length3

Characters and Unicode

Total characters596
Distinct characters135
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)90.9%

Sample

1st row진위교
2nd row진위교
3rd row신리 야구장 입구
4th row유원지 주차장 앞
5th row유원지 캠핑장 앞
ValueCountFrequency (%)
유원지 9
 
6.2%
앞 9
 
6.2%
진위천 8
 
5.5%
옆 7
 
4.8%
인근 6
 
4.1%
아래 4
 
2.8%
평택시 3
 
2.1%
경기도 3
 
2.1%
안성천교 3
 
2.1%
좌측 3
 
2.1%
Other values (78) 90
62.1%
2024-03-14T19:29:56.598107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
13.6%
수 25
 
4.2%
지 20
 
3.4%
) 18
 
3.0%
원 18
 
3.0%
( 18
 
3.0%
교 15
 
2.5%
장 15
 
2.5%
리 13
 
2.2%
천 12
 
2.0%
Other values (125) 361
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
74.5%
Space Separator 81
 
13.6%
Decimal Number 32
 
5.4%
Close Punctuation 18
 
3.0%
Open Punctuation 18
 
3.0%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 25
 
5.6%
지 20
 
4.5%
원 18
 
4.1%
교 15
 
3.4%
장 15
 
3.4%
리 13
 
2.9%
천 12
 
2.7%
진 11
 
2.5%
유 11
 
2.5%
위 10
 
2.3%
Other values (112) 294
66.2%
Decimal Number
ValueCountFrequency (%)
2 10
31.2%
1 9
28.1%
4 4
 
12.5%
3 3
 
9.4%
5 2
 
6.2%
7 1
 
3.1%
8 1
 
3.1%
0 1
 
3.1%
6 1
 
3.1%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
74.5%
Common 152
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 25
 
5.6%
지 20
 
4.5%
원 18
 
4.1%
교 15
 
3.4%
장 15
 
3.4%
리 13
 
2.9%
천 12
 
2.7%
진 11
 
2.5%
유 11
 
2.5%
위 10
 
2.3%
Other values (112) 294
66.2%
Common
ValueCountFrequency (%)
81
53.3%
) 18
 
11.8%
( 18
 
11.8%
2 10
 
6.6%
1 9
 
5.9%
4 4
 
2.6%
3 3
 
2.0%
- 3
 
2.0%
5 2
 
1.3%
7 1
 
0.7%
Other values (3) 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
74.5%
ASCII 152
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
53.3%
) 18
 
11.8%
( 18
 
11.8%
2 10
 
6.6%
1 9
 
5.9%
4 4
 
2.6%
3 3
 
2.0%
- 3
 
2.0%
5 2
 
1.3%
7 1
 
0.7%
Other values (3) 3
 
2.0%
Hangul
ValueCountFrequency (%)
수 25
 
5.6%
지 20
 
4.5%
원 18
 
4.1%
교 15
 
3.4%
장 15
 
3.4%
리 13
 
2.9%
천 12
 
2.7%
진 11
 
2.5%
유 11
 
2.5%
위 10
 
2.3%
Other values (112) 294
66.2%

물놀이위험안내표지판개수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
1
41 
0
25 

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 41
62.1%
0 25
37.9%

Length

2024-03-14T19:29:56.822802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:57.197588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
62.1%
0 25
37.9%

사망사고안내표지판개수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
0
63 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 63
95.5%
1 3
 
4.5%

Length

2024-03-14T19:29:57.446761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:57.762533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
95.5%
1 3
 
4.5%

인명구조함개수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size656.0 B
0
39 
1
25 
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 39
59.1%
1 25
37.9%
3 1
 
1.5%
2 1
 
1.5%

Length

2024-03-14T19:29:58.090116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:58.414197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
59.1%
1 25
37.9%
3 1
 
1.5%
2 1
 
1.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
경기도 평택시청
66 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 평택시청
2nd row경기도 평택시청
3rd row경기도 평택시청
4th row경기도 평택시청
5th row경기도 평택시청

Common Values

ValueCountFrequency (%)
경기도 평택시청 66
100.0%

Length

2024-03-14T19:29:58.775592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:59.082951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 66
50.0%
평택시청 66
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
031-8024-4913
66 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8024-4913
2nd row031-8024-4913
3rd row031-8024-4913
4th row031-8024-4913
5th row031-8024-4913

Common Values

ValueCountFrequency (%)
031-8024-4913 66
100.0%

Length

2024-03-14T19:29:59.405326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:29:59.713493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8024-4913 66
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-02-20
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2024-02-20 66
100.0%

Length

2024-03-14T19:30:00.049166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:30:00.358883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-20 66
100.0%

Interactions

2024-03-14T19:29:47.975791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:29:47.450640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:29:48.205992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:29:47.722591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:30:00.544978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분소재지지번주소위도경도설치위치물놀이위험안내표지판개수사망사고안내표지판개수인명구조함개수
구분1.0001.0000.8850.8591.0000.0950.2180.525
소재지지번주소1.0001.0001.0001.0000.9570.9021.0000.991
위도0.8851.0001.0000.8091.0000.2450.2930.838
경도0.8591.0000.8091.0001.0000.3200.0000.351
설치위치1.0000.9571.0001.0001.0001.0001.0001.000
물놀이위험안내표지판개수0.0950.9020.2450.3201.0001.0000.2560.916
사망사고안내표지판개수0.2181.0000.2930.0001.0000.2561.0000.000
인명구조함개수0.5250.9910.8380.3511.0000.9160.0001.000
2024-03-14T19:30:00.843359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사망사고안내표지판개수인명구조함개수물놀이위험안내표지판개수
구분1.0000.2580.4480.109
사망사고안내표지판개수0.2581.0000.0000.164
인명구조함개수0.4480.0001.0000.725
물놀이위험안내표지판개수0.1090.1640.7251.000
2024-03-14T19:30:01.112811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분물놀이위험안내표지판개수사망사고안내표지판개수인명구조함개수
위도1.0000.4180.7800.1700.2050.493
경도0.4181.0000.6940.2990.0000.217
구분0.7800.6941.0000.1090.2580.448
물놀이위험안내표지판개수0.1700.2990.1091.0000.1640.725
사망사고안내표지판개수0.2050.0000.2580.1641.0000.000
인명구조함개수0.4930.2170.4480.7250.0001.000

Missing values

2024-03-14T19:29:48.416046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:29:48.727148image/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

시도명시군구명구분소재지지번주소위도경도설치위치물놀이위험안내표지판개수사망사고안내표지판개수인명구조함개수관리기관명관리기관전화번호데이터기준일자
0경기도평택시진위천경기도 평택시 진위면 신리 38437.096763127.066737진위교100경기도 평택시청031-8024-49132024-02-20
1경기도평택시진위천경기도 평택시 진위면 견산리 639-837.102224127.064425진위교100경기도 평택시청031-8024-49132024-02-20
2경기도평택시진위천경기도 평택시 진위면 신리 16737.101979127.067563신리 야구장 입구100경기도 평택시청031-8024-49132024-02-20
3경기도평택시진위천경기도 평택시 진위면 봉남리 39837.098302127.083173유원지 주차장 앞100경기도 평택시청031-8024-49132024-02-20
4경기도평택시진위천경기도 평택시 진위면 견산리15337.098737127.079642유원지 캠핑장 앞100경기도 평택시청031-8024-49132024-02-20
5경기도평택시진위천경기도 평택시 진위면 견산리 60137.099585127.077415유원지 인근100경기도 평택시청031-8024-49132024-02-20
6경기도평택시진위천경기도 평택시 진위면 마산리 915-437.095522127.090246봉남교 아래100경기도 평택시청031-8024-49132024-02-20
7경기도평택시진위천경기도 평택시 진위면 봉남리 58-237.097888127.095176세월교 진입부분100경기도 평택시청031-8024-49132024-02-20
8경기도평택시진위천경기도 평택시 진위면 봉남리 432-137.09803127.085963유원지 주차장 앞100경기도 평택시청031-8024-49132024-02-20
9경기도평택시진위천경기도 평택시 진위면 봉남리 40237.098321127.081857진위천 펌프장 앞100경기도 평택시청031-8024-49132024-02-20
시도명시군구명구분소재지지번주소위도경도설치위치물놀이위험안내표지판개수사망사고안내표지판개수인명구조함개수관리기관명관리기관전화번호데이터기준일자
56경기도평택시평택호경기도 평택시 현덕면 권관리 407-1236.918202126.916889뱃머리 아래001경기도 평택시청031-8024-49132024-02-20
57경기도평택시평택호경기도 평택시 현덕면 권관리 564-2336.91386126.906525권관항 부잔교001경기도 평택시청031-8024-49132024-02-20
58경기도평택시평택호경기도 평택시 현덕면 권관리 410-636.917634126.915689수변데크(1)001경기도 평택시청031-8024-49132024-02-20
59경기도평택시평택호경기도 평택시 현덕면 권관리 407-1236.918202126.916889수변데크(2)001경기도 평택시청031-8024-49132024-02-20
60경기도평택시평택호경기도 평택시 현덕면 권관리 407-1036.918149126.917518수변데크(3)001경기도 평택시청031-8024-49132024-02-20
61경기도평택시평택호경기도 평택시 현덕면 권관리 95636.923318126.92667수변데크(4)001경기도 평택시청031-8024-49132024-02-20
62경기도평택시저수지경기도 평택시 청북읍 고잔리 2-1 인근37.06617126.906628고잔저수지100경기도 평택시청031-8024-49132024-02-20
63경기도평택시저수지경기도 평택시 청북읍 고잔리 1-137.067938126.909628고잔저수지 내003경기도 평택시청031-8024-49132024-02-20
64경기도평택시저수지경기도 평택시 서탄면 수월암리 461-1037.113176127.031952새말저수지100경기도 평택시청031-8024-49132024-02-20
65경기도평택시저수지경기도 평택시 죽백동 80037.000713127.119356배다리저수지002경기도 평택시청031-8024-49132024-02-20