Overview

Dataset statistics

Number of variables19
Number of observations42
Missing cells8
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory159.1 B

Variable types

Numeric3
Categorical11
Text3
DateTime2

Dataset

Description경기도 여주시의 안전비상벨위치 현황입니다. 안전비상벨관리번호,설치목적,설치장소유형,설치위치,소재지도로명주소,소재지지번주소,위도,경도,연계방식,경찰연계유무,경비업체연계유무,관리사무소연계유무,부가기능,안전비상벨설치년도,최종점검일자,최종점검결과구분,관리기관명,관리기관전화번호 등의 데이터를 제공합니다.
Author경기도 여주시
URLhttps://www.data.go.kr/data/15105031/fileData.do

Alerts

설치목적 has constant value ""Constant
설치장소유형 has constant value ""Constant
연계방식 has constant value ""Constant
경찰연계유무 has constant value ""Constant
경비업체연계유무 has constant value ""Constant
관리사무소연계유무 has constant value ""Constant
부가기능 has constant value ""Constant
최종점검일자 has constant value ""Constant
최종점검결과구분 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
안전비상벨관리번호 is highly overall correlated with 안전비상벨설치년도High correlation
위도 is highly overall correlated with 안전비상벨설치년도High correlation
안전비상벨설치년도 is highly overall correlated with 안전비상벨관리번호 and 1 other fieldsHigh correlation
소재지도로명주소 has 8 (19.0%) missing valuesMissing
안전비상벨관리번호 has unique valuesUnique
설치위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:58:48.669538
Analysis finished2023-12-12 12:58:50.728012
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안전비상벨관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:58:50.813677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-12T21:58:50.978499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

설치목적
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
약자보호
42 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약자보호 42
100.0%

Length

2023-12-12T21:58:51.123237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:51.232643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약자보호 42
100.0%

설치장소유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
공원
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공원 42
100.0%

Length

2023-12-12T21:58:51.341964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:51.455048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원 42
100.0%

설치위치
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T21:58:51.714455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.7619048
Min length4

Characters and Unicode

Total characters368
Distinct characters114
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

Unique42 ?
Unique (%)100.0%

Sample

1st row하동 어린이공원
2nd row홍문동 개방화장실
3rd row세종산림욕장
4th row동부고속터미널
5th row시외버스터미널
ValueCountFrequency (%)
여흥체육공원 3
 
5.6%
강천섬 2
 
3.7%
옆 2
 
3.7%
하동 1
 
1.9%
대신체육공원 1
 
1.9%
가남시장 1
 
1.9%
법무화장실 1
 
1.9%
오학삼거리 1
 
1.9%
오학체육공원 1
 
1.9%
북내면체육공원 1
 
1.9%
Other values (40) 40
74.1%
2023-12-12T21:58:52.193388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 24
 
6.5%
공 23
 
6.2%
장 18
 
4.9%
) 16
 
4.3%
( 16
 
4.3%
여 15
 
4.1%
체 14
 
3.8%
육 14
 
3.8%
12
 
3.3%
실 9
 
2.4%
Other values (104) 207
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
88.0%
Close Punctuation 16
 
4.3%
Open Punctuation 16
 
4.3%
Space Separator 12
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
7.4%
공 23
 
7.1%
장 18
 
5.6%
여 15
 
4.6%
체 14
 
4.3%
육 14
 
4.3%
실 9
 
2.8%
화 9
 
2.8%
산 7
 
2.2%
동 6
 
1.9%
Other values (101) 185
57.1%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
88.0%
Common 44
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
7.4%
공 23
 
7.1%
장 18
 
5.6%
여 15
 
4.6%
체 14
 
4.3%
육 14
 
4.3%
실 9
 
2.8%
화 9
 
2.8%
산 7
 
2.2%
동 6
 
1.9%
Other values (101) 185
57.1%
Common
ValueCountFrequency (%)
) 16
36.4%
( 16
36.4%
12
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
88.0%
ASCII 44
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 24
 
7.4%
공 23
 
7.1%
장 18
 
5.6%
여 15
 
4.6%
체 14
 
4.3%
육 14
 
4.3%
실 9
 
2.8%
화 9
 
2.8%
산 7
 
2.2%
동 6
 
1.9%
Other values (101) 185
57.1%
ASCII
ValueCountFrequency (%)
) 16
36.4%
( 16
36.4%
12
27.3%

소재지도로명주소
Text

MISSING 

Distinct28
Distinct (%)82.4%
Missing8
Missing (%)19.0%
Memory size468.0 B
2023-12-12T21:58:52.436221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.558824
Min length14

Characters and Unicode

Total characters597
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

Unique24 ?
Unique (%)70.6%

Sample

1st row경기도 여주시 강변로 25
2nd row경기도 여주시 세종로13번길 4
3rd row경기도 여주시 세종대왕면 영릉로 232
4th row경기도 여주시 세종로 81
5th row경기도 여주시 세종로 69
ValueCountFrequency (%)
경기도 34
23.0%
여주시 34
23.0%
신륵사길 5
 
3.4%
73 4
 
2.7%
가남읍 3
 
2.0%
강변유원지길 3
 
2.0%
221 3
 
2.0%
명성로 3
 
2.0%
세종로 3
 
2.0%
남한강자전거길 2
 
1.4%
Other values (50) 54
36.5%
2023-12-12T21:58:53.136390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
19.1%
여 37
 
6.2%
주 35
 
5.9%
경 34
 
5.7%
기 34
 
5.7%
도 34
 
5.7%
시 34
 
5.7%
2 21
 
3.5%
1 18
 
3.0%
길 18
 
3.0%
Other values (64) 218
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
64.2%
Space Separator 114
 
19.1%
Decimal Number 97
 
16.2%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 37
 
9.7%
주 35
 
9.1%
경 34
 
8.9%
기 34
 
8.9%
도 34
 
8.9%
시 34
 
8.9%
길 18
 
4.7%
로 18
 
4.7%
면 9
 
2.3%
강 7
 
1.8%
Other values (52) 123
32.1%
Decimal Number
ValueCountFrequency (%)
2 21
21.6%
1 18
18.6%
3 15
15.5%
7 11
11.3%
0 9
9.3%
5 5
 
5.2%
8 5
 
5.2%
6 5
 
5.2%
4 4
 
4.1%
9 4
 
4.1%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
64.2%
Common 214
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 37
 
9.7%
주 35
 
9.1%
경 34
 
8.9%
기 34
 
8.9%
도 34
 
8.9%
시 34
 
8.9%
길 18
 
4.7%
로 18
 
4.7%
면 9
 
2.3%
강 7
 
1.8%
Other values (52) 123
32.1%
Common
ValueCountFrequency (%)
114
53.3%
2 21
 
9.8%
1 18
 
8.4%
3 15
 
7.0%
7 11
 
5.1%
0 9
 
4.2%
5 5
 
2.3%
8 5
 
2.3%
6 5
 
2.3%
4 4
 
1.9%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
64.2%
ASCII 214
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
53.3%
2 21
 
9.8%
1 18
 
8.4%
3 15
 
7.0%
7 11
 
5.1%
0 9
 
4.2%
5 5
 
2.3%
8 5
 
2.3%
6 5
 
2.3%
4 4
 
1.9%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
여 37
 
9.7%
주 35
 
9.1%
경 34
 
8.9%
기 34
 
8.9%
도 34
 
8.9%
시 34
 
8.9%
길 18
 
4.7%
로 18
 
4.7%
면 9
 
2.3%
강 7
 
1.8%
Other values (52) 123
32.1%

소재지지번주소
Text

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T21:58:53.411727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.642857
Min length13

Characters and Unicode

Total characters741
Distinct characters68
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

Unique34 ?
Unique (%)81.0%

Sample

1st row경기도 여주시 하동 121-4
2nd row경기도 여주시 홍문동 112
3rd row경기도 여주시 세종대왕면 왕대리 933-15
4th row경기도 여주시 홍문동 274
5th row경기도 여주시 홍문동 269
ValueCountFrequency (%)
경기도 42
22.0%
여주시 42
22.0%
산 6
 
3.1%
천송동 5
 
2.6%
282 5
 
2.6%
연양동 4
 
2.1%
홍문동 4
 
2.1%
강천면 4
 
2.1%
태평리 3
 
1.6%
대신면 3
 
1.6%
Other values (60) 73
38.2%
2023-12-12T21:58:53.835221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
20.1%
경 42
 
5.7%
도 42
 
5.7%
여 42
 
5.7%
주 42
 
5.7%
시 42
 
5.7%
기 42
 
5.7%
2 32
 
4.3%
동 26
 
3.5%
4 23
 
3.1%
Other values (58) 259
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
58.6%
Space Separator 149
 
20.1%
Decimal Number 139
 
18.8%
Dash Punctuation 19
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 42
 
9.7%
도 42
 
9.7%
여 42
 
9.7%
주 42
 
9.7%
시 42
 
9.7%
기 42
 
9.7%
동 26
 
6.0%
리 17
 
3.9%
면 14
 
3.2%
천 13
 
3.0%
Other values (46) 112
25.8%
Decimal Number
ValueCountFrequency (%)
2 32
23.0%
4 23
16.5%
1 22
15.8%
3 12
 
8.6%
8 11
 
7.9%
5 10
 
7.2%
6 9
 
6.5%
7 8
 
5.8%
0 7
 
5.0%
9 5
 
3.6%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 434
58.6%
Common 307
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 42
 
9.7%
도 42
 
9.7%
여 42
 
9.7%
주 42
 
9.7%
시 42
 
9.7%
기 42
 
9.7%
동 26
 
6.0%
리 17
 
3.9%
면 14
 
3.2%
천 13
 
3.0%
Other values (46) 112
25.8%
Common
ValueCountFrequency (%)
149
48.5%
2 32
 
10.4%
4 23
 
7.5%
1 22
 
7.2%
- 19
 
6.2%
3 12
 
3.9%
8 11
 
3.6%
5 10
 
3.3%
6 9
 
2.9%
7 8
 
2.6%
Other values (2) 12
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 434
58.6%
ASCII 307
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
48.5%
2 32
 
10.4%
4 23
 
7.5%
1 22
 
7.2%
- 19
 
6.2%
3 12
 
3.9%
8 11
 
3.6%
5 10
 
3.3%
6 9
 
2.9%
7 8
 
2.6%
Other values (2) 12
 
3.9%
Hangul
ValueCountFrequency (%)
경 42
 
9.7%
도 42
 
9.7%
여 42
 
9.7%
주 42
 
9.7%
시 42
 
9.7%
기 42
 
9.7%
동 26
 
6.0%
리 17
 
3.9%
면 14
 
3.2%
천 13
 
3.0%
Other values (46) 112
25.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.295422
Minimum37.199405
Maximum37.400875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:58:54.014067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.199405
5-th percentile37.202459
Q137.279462
median37.294782
Q337.310346
95-th percentile37.389205
Maximum37.400875
Range0.2014697
Interquartile range (IQR)0.030883925

Descriptive statistics

Standard deviation0.048016668
Coefficient of variation (CV)0.0012874681
Kurtosis0.73555207
Mean37.295422
Median Absolute Deviation (MAD)0.016647185
Skewness0.13217444
Sum1566.4077
Variance0.0023056004
MonotonicityNot monotonic
2023-12-12T21:58:54.170671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
37.26773203 3
 
7.1%
37.2974269 3
 
7.1%
37.2347638 2
 
4.8%
37.3120478 1
 
2.4%
37.2016646 1
 
2.4%
37.313659 1
 
2.4%
37.3138289 1
 
2.4%
37.3138036 1
 
2.4%
37.3369907 1
 
2.4%
37.2738935 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
37.1994051 1
 
2.4%
37.2016646 1
 
2.4%
37.2023628 1
 
2.4%
37.2042919 1
 
2.4%
37.2347638 2
4.8%
37.26773203 3
7.1%
37.2738935 1
 
2.4%
37.27875343 1
 
2.4%
37.28158909 1
 
2.4%
37.28937608 1
 
2.4%
ValueCountFrequency (%)
37.4008748 1
2.4%
37.3935812 1
2.4%
37.3892299 1
2.4%
37.3887268 1
2.4%
37.3733989 1
2.4%
37.3369907 1
2.4%
37.3306669 1
2.4%
37.3138289 1
2.4%
37.3138036 1
2.4%
37.313659 1
2.4%

경도
Real number (ℝ)

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.62757
Minimum127.44515
Maximum127.73236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:58:54.324288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.44515
5-th percentile127.53543
Q1127.59024
median127.64204
Q3127.65993
95-th percentile127.69364
Maximum127.73236
Range0.2872073
Interquartile range (IQR)0.06968975

Descriptive statistics

Standard deviation0.058051629
Coefficient of variation (CV)0.00045485178
Kurtosis1.0490237
Mean127.62757
Median Absolute Deviation (MAD)0.0229204
Skewness-0.99002639
Sum5360.3581
Variance0.0033699916
MonotonicityNot monotonic
2023-12-12T21:58:54.449011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
127.6579024 3
 
7.1%
127.6599307 3
 
7.1%
127.6936425 2
 
4.8%
127.7323617 1
 
2.4%
127.534909 1
 
2.4%
127.6307843 1
 
2.4%
127.6274778 1
 
2.4%
127.6579957 1
 
2.4%
127.6778663 1
 
2.4%
127.7052644 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
127.4451544 1
2.4%
127.5322769 1
2.4%
127.534909 1
2.4%
127.5453252 1
2.4%
127.5455164 1
2.4%
127.5482873 1
2.4%
127.5484712 1
2.4%
127.54896 1
2.4%
127.5755394 1
2.4%
127.580858 1
2.4%
ValueCountFrequency (%)
127.7323617 1
 
2.4%
127.7052644 1
 
2.4%
127.6936425 2
4.8%
127.6905592 1
 
2.4%
127.6778663 1
 
2.4%
127.6719504 1
 
2.4%
127.6669094 1
 
2.4%
127.665837 1
 
2.4%
127.6640909 1
 
2.4%
127.6599307 3
7.1%

연계방식
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
양방향
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양방향 42
100.0%

Length

2023-12-12T21:58:54.581413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:54.674482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양방향 42
100.0%

경찰연계유무
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
연계
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연계 42
100.0%

Length

2023-12-12T21:58:54.766842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:54.868379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연계 42
100.0%

경비업체연계유무
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
미연계
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미연계 42
100.0%

Length

2023-12-12T21:58:54.963683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:55.060530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미연계 42
100.0%

관리사무소연계유무
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
미연계
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미연계 42
100.0%

Length

2023-12-12T21:58:55.177332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:55.280033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미연계 42
100.0%

부가기능
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
경보등+경보음
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경보등+경보음
2nd row경보등+경보음
3rd row경보등+경보음
4th row경보등+경보음
5th row경보등+경보음

Common Values

ValueCountFrequency (%)
경보등+경보음 42
100.0%

Length

2023-12-12T21:58:55.376233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:55.490558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경보등+경보음 42
100.0%

안전비상벨설치년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2017
31 
2021
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 31
73.8%
2021 11
 
26.2%

Length

2023-12-12T21:58:55.628244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:55.720534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 31
73.8%
2021 11
 
26.2%

최종점검일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2023-11-01 00:00:00
Maximum2023-11-01 00:00:00
2023-12-12T21:58:55.798967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:55.898647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

최종점검결과구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
정상
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 42
100.0%

Length

2023-12-12T21:58:55.989401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:56.070901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 42
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
경기도 여주시청
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 여주시청 42
100.0%

Length

2023-12-12T21:58:56.167778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:56.260001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 42
50.0%
여주시청 42
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
031-887-3517
42 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-887-3517
2nd row031-887-3517
3rd row031-887-3517
4th row031-887-3517
5th row031-887-3517

Common Values

ValueCountFrequency (%)
031-887-3517 42
100.0%

Length

2023-12-12T21:58:56.371046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:58:56.476575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-887-3517 42
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2023-11-15 00:00:00
Maximum2023-11-15 00:00:00
2023-12-12T21:58:56.563509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:56.669247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:58:49.923841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.239685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.596260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:50.026119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.354359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.704039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:50.157701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.462857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:49.832774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:58:56.747527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전비상벨관리번호설치위치소재지도로명주소소재지지번주소위도경도안전비상벨설치년도
안전비상벨관리번호1.0001.0000.9270.9520.7330.6710.991
설치위치1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.9271.0001.0001.0001.0001.0001.000
소재지지번주소0.9521.0001.0001.0001.0001.0001.000
위도0.7331.0001.0001.0001.0000.8640.716
경도0.6711.0001.0001.0000.8641.0000.199
안전비상벨설치년도0.9911.0001.0001.0000.7160.1991.000
2023-12-12T21:58:56.854730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전비상벨관리번호위도경도안전비상벨설치년도
안전비상벨관리번호1.000-0.1000.2110.821
위도-0.1001.000-0.3190.502
경도0.211-0.3191.0000.122
안전비상벨설치년도0.8210.5020.1221.000

Missing values

2023-12-12T21:58:50.305259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:58:50.614199image/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

안전비상벨관리번호설치목적설치장소유형설치위치소재지도로명주소소재지지번주소위도경도연계방식경찰연계유무경비업체연계유무관리사무소연계유무부가기능안전비상벨설치년도최종점검일자최종점검결과구분관리기관명관리기관전화번호데이터기준일자
01약자보호공원하동 어린이공원경기도 여주시 강변로 25경기도 여주시 하동 121-437.301146127.628905양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
12약자보호공원홍문동 개방화장실경기도 여주시 세종로13번길 4경기도 여주시 홍문동 11237.296252127.637456양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
23약자보호공원세종산림욕장경기도 여주시 세종대왕면 영릉로 232경기도 여주시 세종대왕면 왕대리 933-1537.293001127.575539양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
34약자보호공원동부고속터미널경기도 여주시 세종로 81경기도 여주시 홍문동 27437.290632127.635295양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
45약자보호공원시외버스터미널경기도 여주시 세종로 69경기도 여주시 홍문동 26937.291533127.635595양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
56약자보호공원영월루공원경기도 여주시 주내로 13경기도 여주시 상동 13237.294417127.647661양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
67약자보호공원신륵사공원화장실(관광안내소옆)경기도 여주시 신륵사길 73경기도 여주시 천송동 28237.297427127.659931양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
78약자보호공원여주도자명품관 옆경기도 여주시 신륵사길 7경기도 여주시 천송동 297-137.30392127.603589양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
89약자보호공원연양리화장실(박광길상점앞강변)경기도 여주시 강변유원지길 105경기도 여주시 연양동 30437.293253127.665837양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
910약자보호공원금은모래(신륵원옆)<NA>경기도 여주시 연양동 33237.29278127.664091양방향연계미연계미연계경보등+경보음20172023-11-01정상경기도 여주시청031-887-35172023-11-15
안전비상벨관리번호설치목적설치장소유형설치위치소재지도로명주소소재지지번주소위도경도연계방식경찰연계유무경비업체연계유무관리사무소연계유무부가기능안전비상벨설치년도최종점검일자최종점검결과구분관리기관명관리기관전화번호데이터기준일자
3233약자보호공원강천섬 화장실(여)경기도 여주시 남한강자전거길 7330경기도 여주시 강천면 강천리 62737.234764127.693642양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3334약자보호공원강천섬 화장실(정자옆)(여)경기도 여주시 남한강자전거길 7330경기도 여주시 강천면 강천리 62737.234764127.693642양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3435약자보호공원금은모래강변공원(여)경기도 여주시 강변유원지길 164경기도 여주시 연양동 837.289376127.67195양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3536약자보호공원양섬지구공원(여)<NA>경기도 여주시 하동 3-11237.305242127.620335양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3637약자보호공원여주근린공원(여)경기도 여주시 여흥로160번길 27경기도 여주시 상동 35237.293956127.640454양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3738약자보호공원여흥체육공원 복합체육관(여)경기도 여주시 명성로 221경기도 여주시 능현동 산 24-437.267732127.657902양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3839약자보호공원여흥체육공원 운동장(여)경기도 여주시 명성로 221경기도 여주시 능현동 산 24-437.267732127.657902양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
3940약자보호공원여흥체육공원 풋살장(여)경기도 여주시 명성로 221경기도 여주시 능현동 산 24-437.267732127.657902양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
4041약자보호공원한글마당(여)<NA>경기도 여주시 오학동 400-237.301961127.643633양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15
4142약자보호공원황학산수목원관리동(여)경기도 여주시 황학산수목원길 73경기도 여주시 매룡동 28237.278753127.647036양방향연계미연계미연계경보등+경보음20212023-11-01정상경기도 여주시청031-887-35172023-11-15