Overview

Dataset statistics

Number of variables12
Number of observations104
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory100.2 B

Variable types

Numeric3
Text4
Categorical5

Dataset

Description서울특별시 금천구 무더위쉼터현황으로 쉼터명, 면적(제곱미터), 행정동, 주소, 운영시간, 위도, 경도, 전화번호, 데이터기준일자, 담당부서, 담당자 정보 등을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15116079/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
담당부서 has constant value ""Constant
담당자 has constant value ""Constant
연번 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 연번High correlation
행정동 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
쉼터명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 23:18:02.947231
Analysis finished2024-04-20 23:18:05.958034
Duration3.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.5
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-21T08:18:06.094093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile98.85
Maximum104
Range103
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation30.166206
Coefficient of variation (CV)0.5745944
Kurtosis-1.2
Mean52.5
Median Absolute Deviation (MAD)26
Skewness0
Sum5460
Variance910
MonotonicityStrictly increasing
2024-04-21T08:18:06.349281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
54 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

쉼터명
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-04-21T08:18:06.988249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.8557692
Min length4

Characters and Unicode

Total characters921
Distinct characters180
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st row가산동주민센터
2nd row상록경로당
3rd row우정경로당
4th row매봉경로당(일반쉼터)
5th row두산아파트 A지역경로당
ValueCountFrequency (%)
경로당 35
 
22.0%
주민센터 6
 
3.8%
벽산아파트 4
 
2.5%
두산아파트 2
 
1.3%
탑스빌아파트 1
 
0.6%
새재미마을활력소 1
 
0.6%
금천노인종합복지관 1
 
0.6%
금강아파트 1
 
0.6%
경남아파트 1
 
0.6%
장수경로당 1
 
0.6%
Other values (106) 106
66.7%
2024-04-21T08:18:07.839749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 73
 
7.9%
경 72
 
7.8%
당 71
 
7.7%
55
 
6.0%
파 39
 
4.2%
아 38
 
4.1%
트 38
 
4.1%
산 23
 
2.5%
지 20
 
2.2%
터 20
 
2.2%
Other values (170) 472
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 838
91.0%
Space Separator 55
 
6.0%
Decimal Number 22
 
2.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 73
 
8.7%
경 72
 
8.6%
당 71
 
8.5%
파 39
 
4.7%
아 38
 
4.5%
트 38
 
4.5%
산 23
 
2.7%
지 20
 
2.4%
터 20
 
2.4%
금 19
 
2.3%
Other values (159) 425
50.7%
Decimal Number
ValueCountFrequency (%)
1 7
31.8%
3 5
22.7%
2 4
18.2%
4 3
13.6%
5 2
 
9.1%
6 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 838
91.0%
Common 81
 
8.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 73
 
8.7%
경 72
 
8.6%
당 71
 
8.5%
파 39
 
4.7%
아 38
 
4.5%
트 38
 
4.5%
산 23
 
2.7%
지 20
 
2.4%
터 20
 
2.4%
금 19
 
2.3%
Other values (159) 425
50.7%
Common
ValueCountFrequency (%)
55
67.9%
1 7
 
8.6%
3 5
 
6.2%
2 4
 
4.9%
4 3
 
3.7%
5 2
 
2.5%
( 2
 
2.5%
) 2
 
2.5%
6 1
 
1.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 838
91.0%
ASCII 83
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 73
 
8.7%
경 72
 
8.6%
당 71
 
8.5%
파 39
 
4.7%
아 38
 
4.5%
트 38
 
4.5%
산 23
 
2.7%
지 20
 
2.4%
터 20
 
2.4%
금 19
 
2.3%
Other values (159) 425
50.7%
ASCII
ValueCountFrequency (%)
55
66.3%
1 7
 
8.4%
3 5
 
6.0%
2 4
 
4.8%
4 3
 
3.6%
5 2
 
2.4%
( 2
 
2.4%
) 2
 
2.4%
A 1
 
1.2%
C 1
 
1.2%

면적(제곱미터)
Text

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-04-21T08:18:08.674113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.6730769
Min length2

Characters and Unicode

Total characters382
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)68.3%

Sample

1st row163.1
2nd row129
3rd row180.21
4th row117
5th row154.5
ValueCountFrequency (%)
151.8 6
 
5.8%
150 5
 
4.8%
117 3
 
2.9%
33 3
 
2.9%
110 2
 
1.9%
126 2
 
1.9%
167 2
 
1.9%
110.7 2
 
1.9%
25 2
 
1.9%
199 2
 
1.9%
Other values (73) 75
72.1%
2024-04-21T08:18:10.007539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 80
20.9%
. 45
11.8%
0 34
8.9%
3 33
8.6%
4 32
 
8.4%
8 31
 
8.1%
2 31
 
8.1%
5 29
 
7.6%
9 26
 
6.8%
7 20
 
5.2%
Other values (2) 21
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
88.0%
Other Punctuation 46
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 80
23.8%
0 34
10.1%
3 33
9.8%
4 32
 
9.5%
8 31
 
9.2%
2 31
 
9.2%
5 29
 
8.6%
9 26
 
7.7%
7 20
 
6.0%
6 20
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 45
97.8%
, 1
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 80
20.9%
. 45
11.8%
0 34
8.9%
3 33
8.6%
4 32
 
8.4%
8 31
 
8.1%
2 31
 
8.1%
5 29
 
7.6%
9 26
 
6.8%
7 20
 
5.2%
Other values (2) 21
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 80
20.9%
. 45
11.8%
0 34
8.9%
3 33
8.6%
4 32
 
8.4%
8 31
 
8.1%
2 31
 
8.1%
5 29
 
7.6%
9 26
 
6.8%
7 20
 
5.2%
Other values (2) 21
 
5.5%

행정동
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size960.0 B
독산1동
27 
시흥1동
14 
시흥2동
12 
가산동
10 
시흥5동
9 
Other values (5)
32 

Length

Max length4
Median length4
Mean length3.9038462
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
독산1동 27
26.0%
시흥1동 14
13.5%
시흥2동 12
11.5%
가산동 10
 
9.6%
시흥5동 9
 
8.7%
독산3동 7
 
6.7%
독산4동 7
 
6.7%
시흥3동 7
 
6.7%
시흥4동 7
 
6.7%
독산2동 4
 
3.8%

Length

2024-04-21T08:18:10.415591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:18:10.765667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
독산1동 27
26.0%
시흥1동 14
13.5%
시흥2동 12
11.5%
가산동 10
 
9.6%
시흥5동 9
 
8.7%
독산3동 7
 
6.7%
독산4동 7
 
6.7%
시흥3동 7
 
6.7%
시흥4동 7
 
6.7%
독산2동 4
 
3.8%

주소
Text

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-04-21T08:18:11.871467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length25.240385
Min length16

Characters and Unicode

Total characters2625
Distinct characters161
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)90.4%

Sample

1st row서울특별시 금천구 가산동 144-3 가산동주민센터
2nd row서울특별시 금천구 가산동 602-71 가산어린이집,상록경록당
3rd row서울특별시 금천구 가산동 238-3 가산동제2경노당
4th row서울특별시 금천구 가산동 148-11 가산매봉노인정
5th row서울특별시 금천구 가산동 769 두산위브아파트
ValueCountFrequency (%)
서울특별시 104
20.8%
금천구 104
20.8%
시흥동 43
 
8.6%
독산동 36
 
7.2%
가산동 9
 
1.8%
22 3
 
0.6%
경로당 3
 
0.6%
1010 3
 
0.6%
30 2
 
0.4%
시흥대로 2
 
0.4%
Other values (181) 190
38.1%
2024-04-21T08:18:13.566966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
15.0%
시 164
 
6.2%
1 121
 
4.6%
금 115
 
4.4%
천 112
 
4.3%
구 107
 
4.1%
동 107
 
4.1%
서 105
 
4.0%
울 105
 
4.0%
특 104
 
4.0%
Other values (151) 1190
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1713
65.3%
Decimal Number 457
 
17.4%
Space Separator 395
 
15.0%
Dash Punctuation 55
 
2.1%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 164
 
9.6%
금 115
 
6.7%
천 112
 
6.5%
구 107
 
6.2%
동 107
 
6.2%
서 105
 
6.1%
울 105
 
6.1%
특 104
 
6.1%
별 104
 
6.1%
산 75
 
4.4%
Other values (135) 615
35.9%
Decimal Number
ValueCountFrequency (%)
1 121
26.5%
0 54
11.8%
3 50
10.9%
2 49
10.7%
8 41
 
9.0%
4 40
 
8.8%
9 30
 
6.6%
5 28
 
6.1%
6 22
 
4.8%
7 22
 
4.8%
Space Separator
ValueCountFrequency (%)
395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1713
65.3%
Common 911
34.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 164
 
9.6%
금 115
 
6.7%
천 112
 
6.5%
구 107
 
6.2%
동 107
 
6.2%
서 105
 
6.1%
울 105
 
6.1%
특 104
 
6.1%
별 104
 
6.1%
산 75
 
4.4%
Other values (135) 615
35.9%
Common
ValueCountFrequency (%)
395
43.4%
1 121
 
13.3%
- 55
 
6.0%
0 54
 
5.9%
3 50
 
5.5%
2 49
 
5.4%
8 41
 
4.5%
4 40
 
4.4%
9 30
 
3.3%
5 28
 
3.1%
Other values (5) 48
 
5.3%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1713
65.3%
ASCII 911
34.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
43.4%
1 121
 
13.3%
- 55
 
6.0%
0 54
 
5.9%
3 50
 
5.5%
2 49
 
5.4%
8 41
 
4.5%
4 40
 
4.4%
9 30
 
3.3%
5 28
 
3.1%
Other values (5) 48
 
5.3%
Hangul
ValueCountFrequency (%)
시 164
 
9.6%
금 115
 
6.7%
천 112
 
6.5%
구 107
 
6.2%
동 107
 
6.2%
서 105
 
6.1%
울 105
 
6.1%
특 104
 
6.1%
별 104
 
6.1%
산 75
 
4.4%
Other values (135) 615
35.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

운영시간
Categorical

Distinct7
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size960.0 B
무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:00
68 
무더위쉼터 운영시간 : 평일 09:00 ~ 18:00
16 
무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 연장운영 (평일 21시까지, 주말/휴일 09:00~18:00)
12 
코로나19로 무더위쉼터 미운영
 
5
무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 평일 21시까지 연장운영, 주말/휴일 09:00~18:00
 
1
Other values (2)
 
2

Length

Max length73
Median length34
Mean length37.326923
Min length16

Unique

Unique3 ?
Unique (%)2.9%

Sample

1st row무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 연장운영 (평일 21시까지, 주말/휴일 09:00~18:00)
2nd row무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:00
3rd row무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:00
4th row무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:00
5th row무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:00

Common Values

ValueCountFrequency (%)
무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:00 68
65.4%
무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 16
 
15.4%
무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 연장운영 (평일 21시까지, 주말/휴일 09:00~18:00) 12
 
11.5%
코로나19로 무더위쉼터 미운영 5
 
4.8%
무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 평일 21시까지 연장운영, 주말/휴일 09:00~18:00 1
 
1.0%
무더위쉼터 운영시간 : 평일 13:00 ~ 17:00 1
 
1.0%
폭염특보 집중기간 한시적 운영 폭염특보 발령 시 평일/주말/휴일 18:00~익일 10:00 1
 
1.0%

Length

2024-04-21T08:18:13.976424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:18:14.311181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
196
20.9%
무더위쉼터 103
11.0%
운영시간 98
10.4%
13:00 69
 
7.4%
17:00 69
 
7.4%
월 68
 
7.2%
수 68
 
7.2%
금 68
 
7.2%
평일 43
 
4.6%
09:00 29
 
3.1%
Other values (17) 127
13.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.460028
Minimum37.435045
Maximum37.482858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-21T08:18:14.738641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.435045
5-th percentile37.445006
Q137.451446
median37.458893
Q337.4676
95-th percentile37.476908
Maximum37.482858
Range0.0478123
Interquartile range (IQR)0.0161542

Descriptive statistics

Standard deviation0.010606423
Coefficient of variation (CV)0.00028313976
Kurtosis-0.71145149
Mean37.460028
Median Absolute Deviation (MAD)0.00825915
Skewness0.083770864
Sum3895.8429
Variance0.00011249621
MonotonicityNot monotonic
2024-04-21T08:18:15.174966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4695164 2
 
1.9%
37.467483 2
 
1.9%
37.4752372 2
 
1.9%
37.4506334 2
 
1.9%
37.4487957 2
 
1.9%
37.4546437 1
 
1.0%
37.4628402 1
 
1.0%
37.4636755 1
 
1.0%
37.4447571 1
 
1.0%
37.4396345 1
 
1.0%
Other values (89) 89
85.6%
ValueCountFrequency (%)
37.4350453 1
1.0%
37.4385758 1
1.0%
37.4396345 1
1.0%
37.4402733 1
1.0%
37.4413152 1
1.0%
37.4447571 1
1.0%
37.4464185 1
1.0%
37.4465938 1
1.0%
37.4479118 1
1.0%
37.4482097 1
1.0%
ValueCountFrequency (%)
37.4828576 1
1.0%
37.4791854 1
1.0%
37.4779437 1
1.0%
37.4775304 1
1.0%
37.4772453 1
1.0%
37.4769094 1
1.0%
37.4768978 1
1.0%
37.4760725 1
1.0%
37.4757387 1
1.0%
37.4756257 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.90134
Minimum126.87734
Maximum126.91921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-21T08:18:15.582797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.87734
5-th percentile126.88759
Q1126.89445
median126.90113
Q3126.90722
95-th percentile126.9165
Maximum126.91921
Range0.0418729
Interquartile range (IQR)0.0127707

Descriptive statistics

Standard deviation0.0088647897
Coefficient of variation (CV)6.985576 × 10-5
Kurtosis-0.45475342
Mean126.90134
Median Absolute Deviation (MAD)0.00636995
Skewness0.057494761
Sum13197.74
Variance7.8584497 × 10-5
MonotonicityNot monotonic
2024-04-21T08:18:16.019013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9064499 2
 
1.9%
126.8944524 2
 
1.9%
126.8922806 2
 
1.9%
126.9190491 2
 
1.9%
126.919212 2
 
1.9%
126.9063696 1
 
1.0%
126.9076142 1
 
1.0%
126.9094546 1
 
1.0%
126.9065143 1
 
1.0%
126.9019646 1
 
1.0%
Other values (89) 89
85.6%
ValueCountFrequency (%)
126.8773391 1
1.0%
126.884267 1
1.0%
126.8863376 1
1.0%
126.8871143 1
1.0%
126.8871946 1
1.0%
126.8873951 1
1.0%
126.8887196 1
1.0%
126.8888941 1
1.0%
126.8896494 1
1.0%
126.8897219 1
1.0%
ValueCountFrequency (%)
126.919212 2
1.9%
126.9190491 2
1.9%
126.9176126 1
1.0%
126.9166447 1
1.0%
126.9157047 1
1.0%
126.9156965 1
1.0%
126.9147886 1
1.0%
126.9141297 1
1.0%
126.9140559 1
1.0%
126.9138934 1
1.0%

전화번호
Text

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-04-21T08:18:16.998679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.230769
Min length11

Characters and Unicode

Total characters1168
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)96.2%

Sample

1st row02-2627-2502
2nd row02-869-1513
3rd row02-862-4898
4th row02-868-6405
5th row02-863-0888
ValueCountFrequency (%)
02-807-3100 2
 
1.9%
070-4472-9110 2
 
1.9%
02-809-2037 1
 
1.0%
02-2627-2300 1
 
1.0%
02-2627-2502 1
 
1.0%
02-808-8795 1
 
1.0%
02-808-4047 1
 
1.0%
02-806-3332 1
 
1.0%
02-807-8954 1
 
1.0%
02-896-5820 1
 
1.0%
Other values (92) 92
88.5%
2024-04-21T08:18:18.371264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 214
18.3%
- 208
17.8%
2 183
15.7%
8 136
11.6%
6 81
 
6.9%
5 71
 
6.1%
9 68
 
5.8%
7 59
 
5.1%
4 54
 
4.6%
3 49
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
82.2%
Dash Punctuation 208
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 214
22.3%
2 183
19.1%
8 136
14.2%
6 81
 
8.4%
5 71
 
7.4%
9 68
 
7.1%
7 59
 
6.1%
4 54
 
5.6%
3 49
 
5.1%
1 45
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 214
18.3%
- 208
17.8%
2 183
15.7%
8 136
11.6%
6 81
 
6.9%
5 71
 
6.1%
9 68
 
5.8%
7 59
 
5.1%
4 54
 
4.6%
3 49
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 214
18.3%
- 208
17.8%
2 183
15.7%
8 136
11.6%
6 81
 
6.9%
5 71
 
6.1%
9 68
 
5.8%
7 59
 
5.1%
4 54
 
4.6%
3 49
 
4.2%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2023-06-29
104 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-29
2nd row2023-06-29
3rd row2023-06-29
4th row2023-06-29
5th row2023-06-29

Common Values

ValueCountFrequency (%)
2023-06-29 104
100.0%

Length

2024-04-21T08:18:18.781249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:18:19.068853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-29 104
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
어르신장애인과
104 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어르신장애인과 104
100.0%

Length

2024-04-21T08:18:19.368152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:18:19.656724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어르신장애인과 104
100.0%

담당자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
최은규
104 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
최은규 104
100.0%

Length

2024-04-21T08:18:19.957018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:18:20.245411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최은규 104
100.0%

Interactions

2024-04-21T08:18:05.096608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:04.277254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:04.685048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:05.232351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:04.411009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:04.828779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:05.367946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:04.549604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T08:18:04.961959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T08:18:20.421046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)행정동주소운영시간위도경도
연번1.0000.8710.9520.9740.5430.7560.786
면적(제곱미터)0.8711.0000.7610.9620.5940.8500.872
행정동0.9520.7611.0001.0000.0000.9080.893
주소0.9740.9621.0001.0000.9671.0001.000
운영시간0.5430.5940.0000.9671.0000.0000.000
위도0.7560.8500.9081.0000.0001.0000.732
경도0.7860.8720.8931.0000.0000.7321.000
2024-04-21T08:18:20.693481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동운영시간
행정동1.0000.000
운영시간0.0001.000
2024-04-21T08:18:20.934788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도행정동운영시간
연번1.000-0.5310.5490.6300.306
위도-0.5311.000-0.4910.5140.000
경도0.549-0.4911.0000.4860.000
행정동0.6300.5140.4861.0000.000
운영시간0.3060.0000.0000.0001.000

Missing values

2024-04-21T08:18:05.564313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T08:18:05.850184image/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

연번쉼터명면적(제곱미터)행정동주소운영시간위도경도전화번호데이터 기준일자담당부서담당자
01가산동주민센터163.1가산동서울특별시 금천구 가산동 144-3 가산동주민센터무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 연장운영 (평일 21시까지, 주말/휴일 09:00~18:00)37.476898126.89178602-2627-25022023-06-29어르신장애인과최은규
12상록경로당129가산동서울특별시 금천구 가산동 602-71 가산어린이집,상록경록당무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:0037.482858126.88426702-869-15132023-06-29어르신장애인과최은규
23우정경로당180.21가산동서울특별시 금천구 가산동 238-3 가산동제2경노당무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:0037.472692126.8887202-862-48982023-06-29어르신장애인과최은규
34매봉경로당(일반쉼터)117가산동서울특별시 금천구 가산동 148-11 가산매봉노인정무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:0037.475626126.89558302-868-64052023-06-29어르신장애인과최은규
45두산아파트 A지역경로당154.5가산동서울특별시 금천구 가산동 769 두산위브아파트무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:0037.475237126.89228102-863-08882023-06-29어르신장애인과최은규
56우창경로당32.03가산동서울특별시 금천구 가산동 547-44 우창연립무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.477944126.87733902-857-25592023-06-29어르신장애인과최은규
67두산아파트 C지역 경로당110.43가산동서울특별시 금천구 가산동 769 두산위브아파트무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.475237126.89228102-839-33032023-06-29어르신장애인과최은규
78가산삼익아파트 경로당59.4가산동서울특별시 금천구 가산동 234-46 가산삼익아파트무더위쉼터 운영시간 : 월, 수, 금 13:00 ~ 17:0037.472991126.89307602-852-45072023-06-29어르신장애인과최은규
89금천글로벌빌리지센터30가산동서울특별시 금천구 가산동 151-30코로나19로 무더위쉼터 미운영37.476073126.89315202-2627-28842023-06-29어르신장애인과최은규
910독산1동주민센터108독산1동서울특별시 금천구 독산동 289-5 독산1동주민센터무더위쉼터 운영시간 : 평일 09:00 ~ 18:00 폭염특보 발령시 평일 21시까지 연장운영, 주말/휴일 09:00~18:0037.470215126.89703502-2627-25042023-06-29어르신장애인과최은규
연번쉼터명면적(제곱미터)행정동주소운영시간위도경도전화번호데이터 기준일자담당부서담당자
9495금천구립독산도서관33독산4동서울특별시 금천구 독산로54길 114무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.467572126.90806802-863-95442023-06-29어르신장애인과최은규
9596금천문화회관33시흥3동서울특별시 금천구 시흥대로38길 61무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.446419126.90444602-896-85522023-06-29어르신장애인과최은규
9697금천마을활력소 어울샘150시흥5동서울특별시 금천구 탑골로 22무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.451809126.91166202-809-78602023-06-29어르신장애인과최은규
9798서울시립금천청소년센터87.4시흥2동서울특별시 금천구 금하로30길 54무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.44822126.91569602-803-13182023-06-29어르신장애인과최은규
9899동네방네 마을이음센터50시흥3동서울특별시 금천구 시흥대로12길 10-5무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.438576126.90432202-803-56872023-06-29어르신장애인과최은규
99100금천구마을공동체지원센터119시흥5동서울특별시 금천구 은행나무로 45무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.451055126.9075102-809-88262023-06-29어르신장애인과최은규
100101금천누리종합사회복지관40가산동서울특별시 금천구 가산로 129무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.476909126.89173302-868-68562023-06-29어르신장애인과최은규
101102금천어르신복지센터60독산1동서울특별시 금천구 범안로17길 22무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.467483126.89445202-807-50702023-06-29어르신장애인과최은규
102103금천어울림복지센터60.19시흥1동서울특별시 금천구 시흥대로73길 30무더위쉼터 운영시간 : 평일 09:00 ~ 18:0037.457013126.89762502-6956-34202023-06-29어르신장애인과최은규
103104스타즈호텔 독산22독산1동서울특별시 금천구 시흥대로 315폭염특보 집중기간 한시적 운영 폭염특보 발령 시 평일/주말/휴일 18:00~익일 10:0037.460991126.89626502-2096-40002023-06-29어르신장애인과최은규