Overview

Dataset statistics

Number of variables6
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory50.3 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description인천광역시 서구의 폭염 무더위 쉼터 현황에 관한 데이터입니다. 폭염 취약계층의 온열질환 예방을 위한 무더위쉼터입니다.이용시간 : 평일 (09시~18시 기관 운영시)폭염경보 발효시 무더위쉼터 중 동행정복지센터(23개소)와 노인복지관(4개소) 휴일 (13시~17시) 운영
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15121249&srcSe=7661IVAWM27C61E190

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
쉼터명칭 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:46:51.369272
Analysis finished2024-01-28 09:46:51.831095
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-01-28T18:46:51.907864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2024-01-28T18:46:52.016319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
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 (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
인천
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천 99
100.0%

Length

2024-01-28T18:46:52.114219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:46:52.184838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천 99
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
서구
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 99
100.0%

Length

2024-01-28T18:46:52.256001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:46:52.337698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 99
100.0%

지번주소
Text

Distinct94
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-01-28T18:46:52.603026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length18.111111
Min length14

Characters and Unicode

Total characters1793
Distinct characters58
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

Unique91 ?
Unique (%)91.9%

Sample

1st row인천광역시 서구 검암동 606-8 검암경서동 주민센터
2nd row인천광역시 서구 경서동 722-1
3rd row인천광역시 서구 경서동 744-13
4th row인천광역시 서구 심곡동 244
5th row인천광역시 서구 심곡동 247-1
ValueCountFrequency (%)
인천광역시 99
24.4%
서구 99
24.4%
가좌동 24
 
5.9%
석남동 14
 
3.5%
청라동 13
 
3.2%
가정동 10
 
2.5%
0 5
 
1.2%
당하동 5
 
1.2%
심곡동 5
 
1.2%
신현동 4
 
1.0%
Other values (110) 127
31.4%
2024-01-28T18:46:52.982169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
306
17.1%
서 103
 
5.7%
동 102
 
5.7%
시 100
 
5.6%
인 99
 
5.5%
광 99
 
5.5%
역 99
 
5.5%
구 99
 
5.5%
천 99
 
5.5%
1 80
 
4.5%
Other values (48) 607
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1029
57.4%
Decimal Number 385
 
21.5%
Space Separator 306
 
17.1%
Dash Punctuation 73
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 103
10.0%
동 102
9.9%
시 100
9.7%
인 99
9.6%
광 99
9.6%
역 99
9.6%
구 99
9.6%
천 99
9.6%
가 35
 
3.4%
좌 25
 
2.4%
Other values (36) 169
16.4%
Decimal Number
ValueCountFrequency (%)
1 80
20.8%
2 59
15.3%
3 46
11.9%
5 39
10.1%
0 38
9.9%
4 35
9.1%
7 26
 
6.8%
9 22
 
5.7%
8 21
 
5.5%
6 19
 
4.9%
Space Separator
ValueCountFrequency (%)
306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1029
57.4%
Common 764
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 103
10.0%
동 102
9.9%
시 100
9.7%
인 99
9.6%
광 99
9.6%
역 99
9.6%
구 99
9.6%
천 99
9.6%
가 35
 
3.4%
좌 25
 
2.4%
Other values (36) 169
16.4%
Common
ValueCountFrequency (%)
306
40.1%
1 80
 
10.5%
- 73
 
9.6%
2 59
 
7.7%
3 46
 
6.0%
5 39
 
5.1%
0 38
 
5.0%
4 35
 
4.6%
7 26
 
3.4%
9 22
 
2.9%
Other values (2) 40
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1029
57.4%
ASCII 764
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
306
40.1%
1 80
 
10.5%
- 73
 
9.6%
2 59
 
7.7%
3 46
 
6.0%
5 39
 
5.1%
0 38
 
5.0%
4 35
 
4.6%
7 26
 
3.4%
9 22
 
2.9%
Other values (2) 40
 
5.2%
Hangul
ValueCountFrequency (%)
서 103
10.0%
동 102
9.9%
시 100
9.7%
인 99
9.6%
광 99
9.6%
역 99
9.6%
구 99
9.6%
천 99
9.6%
가 35
 
3.4%
좌 25
 
2.4%
Other values (36) 169
16.4%

쉼터명칭
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-01-28T18:46:53.208904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.8888889
Min length4

Characters and Unicode

Total characters979
Distinct characters152
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

Unique99 ?
Unique (%)100.0%

Sample

1st row검암경서동 행정복지센터
2nd row태평샹베르1차경로당
3rd row경서동경로당
4th row하나은행 인천서구청지점
5th row신한은행 인천서구청지점
ValueCountFrequency (%)
행정복지센터 23
 
14.1%
경로당 14
 
8.6%
하나은행 6
 
3.7%
농협 5
 
3.1%
진주아파트 3
 
1.8%
신한은행 3
 
1.8%
가정3동 2
 
1.2%
검단농협 2
 
1.2%
가좌4동 2
 
1.2%
가정1동 2
 
1.2%
Other values (100) 101
62.0%
2024-01-28T18:46:53.527724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
7.4%
당 55
 
5.6%
경 55
 
5.6%
로 53
 
5.4%
지 44
 
4.5%
동 41
 
4.2%
행 33
 
3.4%
정 30
 
3.1%
아 27
 
2.8%
센 27
 
2.8%
Other values (142) 542
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
88.0%
Space Separator 72
 
7.4%
Decimal Number 35
 
3.6%
Uppercase Letter 6
 
0.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 55
 
6.4%
경 55
 
6.4%
로 53
 
6.1%
지 44
 
5.1%
동 41
 
4.8%
행 33
 
3.8%
정 30
 
3.5%
아 27
 
3.1%
센 27
 
3.1%
터 27
 
3.1%
Other values (128) 470
54.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
16.7%
S 1
16.7%
I 1
16.7%
V 1
16.7%
E 1
16.7%
W 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 12
34.3%
2 11
31.4%
3 8
22.9%
4 3
 
8.6%
5 1
 
2.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
88.0%
Common 111
 
11.3%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 55
 
6.4%
경 55
 
6.4%
로 53
 
6.1%
지 44
 
5.1%
동 41
 
4.8%
행 33
 
3.8%
정 30
 
3.5%
아 27
 
3.1%
센 27
 
3.1%
터 27
 
3.1%
Other values (128) 470
54.5%
Common
ValueCountFrequency (%)
72
64.9%
1 12
 
10.8%
2 11
 
9.9%
3 8
 
7.2%
4 3
 
2.7%
) 2
 
1.8%
( 2
 
1.8%
5 1
 
0.9%
Latin
ValueCountFrequency (%)
K 1
16.7%
S 1
16.7%
I 1
16.7%
V 1
16.7%
E 1
16.7%
W 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
88.0%
ASCII 117
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
61.5%
1 12
 
10.3%
2 11
 
9.4%
3 8
 
6.8%
4 3
 
2.6%
) 2
 
1.7%
( 2
 
1.7%
5 1
 
0.9%
K 1
 
0.9%
S 1
 
0.9%
Other values (4) 4
 
3.4%
Hangul
ValueCountFrequency (%)
당 55
 
6.4%
경 55
 
6.4%
로 53
 
6.1%
지 44
 
5.1%
동 41
 
4.8%
행 33
 
3.8%
정 30
 
3.5%
아 27
 
3.1%
센 27
 
3.1%
터 27
 
3.1%
Other values (128) 470
54.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-07-28
99 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-28
2nd row2023-07-28
3rd row2023-07-28
4th row2023-07-28
5th row2023-07-28

Common Values

ValueCountFrequency (%)
2023-07-28 99
100.0%

Length

2024-01-28T18:46:53.627538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:46:53.694656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-28 99
100.0%

Interactions

2024-01-28T18:46:51.590479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:46:53.737584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지번주소쉼터명칭
연번1.0000.9921.000
지번주소0.9921.0001.000
쉼터명칭1.0001.0001.000

Missing values

2024-01-28T18:46:51.694544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:46:51.795063image/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

연번시도시군구지번주소쉼터명칭데이터기준일자
01인천서구인천광역시 서구 검암동 606-8 검암경서동 주민센터검암경서동 행정복지센터2023-07-28
12인천서구인천광역시 서구 경서동 722-1태평샹베르1차경로당2023-07-28
23인천서구인천광역시 서구 경서동 744-13경서동경로당2023-07-28
34인천서구인천광역시 서구 심곡동 244하나은행 인천서구청지점2023-07-28
45인천서구인천광역시 서구 심곡동 247-1신한은행 인천서구청지점2023-07-28
56인천서구인천광역시 서구 심곡동 325-1연희노인문화센터2023-07-28
67인천서구인천광역시 서구 연희동 712 연희동 주민센터연희동 행정복지센터2023-07-28
78인천서구인천광역시 서구 연희동 740-3연희동분회경로당2023-07-28
89인천서구인천광역시 서구 심곡동 261-2 심곡경로당심곡경로당2023-07-28
910인천서구인천광역시 서구 공촌동 312-4 서주시니어고현경로당2023-07-28
연번시도시군구지번주소쉼터명칭데이터기준일자
8990인천서구인천광역시 서구 원당동 824-11검단선사박물관 1층2023-07-28
9091인천서구인천광역시 서구 당하동 1027-3동문굿모닝힐아파트경로당2023-07-28
9192인천서구인천광역시 서구 당하동 1092-10하나은행 검단지점2023-07-28
9293인천서구인천광역시 서구 당하동 1097-4당하동 행정복지센터2023-07-28
9394인천서구인천광역시 서구 당하동 820-1태평아파트 경로당2023-07-28
9495인천서구인천광역시 서구 왕길동 692-5오류왕길동 행정복지센터2023-07-28
9596인천서구인천광역시 서구 오류동 1720-10검단농협 오왕지점 2층2023-07-28
9697인천서구인천광역시 서구 오류동 1714-6오류성당2023-07-28
9798인천서구인천광역시 서구 마전동 1008-8마전동 행정복지센터2023-07-28
9899인천서구인천광역시 서구 원당동 1033-10아라동 행정복지센터2023-07-28