Overview

Dataset statistics

Number of variables22
Number of observations154
Missing cells153
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory178.8 B

Variable types

Numeric2
Text5
Categorical11
Boolean4

Dataset

Description대전광역시 중구에 위치한 무더위 및 한파쉼터의 정보를 포함하고 있습니다.It contains information on hot and cold weather shelters located in Jung-gu, Daejeon.
Author대전광역시 중구
URLhttps://www.data.go.kr/data/15126558/fileData.do

Alerts

평일개방여부 has constant value ""Constant
운영여부 is highly imbalanced (79.3%)Imbalance
무더위쉼터 공동활용여부 is highly imbalanced (90.0%)Imbalance
시설유형 is highly imbalanced (69.4%)Imbalance
비고 has 152 (98.7%) missing valuesMissing
No has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:07:44.642931
Analysis finished2024-03-14 19:07:45.307369
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.5
Minimum1
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T04:07:45.503553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.65
Q139.25
median77.5
Q3115.75
95-th percentile146.35
Maximum154
Range153
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation44.600075
Coefficient of variation (CV)0.57548484
Kurtosis-1.2
Mean77.5
Median Absolute Deviation (MAD)38.5
Skewness0
Sum11935
Variance1989.1667
MonotonicityStrictly increasing
2024-03-15T04:07:46.167079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
107 1
 
0.6%
100 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
Other values (144) 144
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%
145 1
0.6%

쉼터명칭
Text

Distinct153
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T04:07:47.047785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.6428571
Min length5

Characters and Unicode

Total characters1177
Distinct characters175
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

Unique152 ?
Unique (%)98.7%

Sample

1st row은행선화동주민센터
2nd row선화1경로당
3rd row선화3경로당
4th row현대아파트경로당
5th row푸른경로당
ValueCountFrequency (%)
경로당 21
 
10.9%
주민센터 4
 
2.1%
제2경로당 3
 
1.6%
행정복지센터 3
 
1.6%
유천1동 3
 
1.6%
제1경로당 2
 
1.0%
오류 2
 
1.0%
공원경로당 2
 
1.0%
선화2경로당 1
 
0.5%
평화아파트 1
 
0.5%
Other values (150) 150
78.1%
2024-03-15T04:07:48.360607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 134
 
11.4%
로 133
 
11.3%
경 132
 
11.2%
아 49
 
4.2%
38
 
3.2%
트 36
 
3.1%
파 35
 
3.0%
동 27
 
2.3%
지 24
 
2.0%
1 22
 
1.9%
Other values (165) 547
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1057
89.8%
Decimal Number 47
 
4.0%
Space Separator 38
 
3.2%
Open Punctuation 17
 
1.4%
Close Punctuation 17
 
1.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 134
 
12.7%
로 133
 
12.6%
경 132
 
12.5%
아 49
 
4.6%
트 36
 
3.4%
파 35
 
3.3%
동 27
 
2.6%
지 24
 
2.3%
센 22
 
2.1%
주 18
 
1.7%
Other values (156) 447
42.3%
Decimal Number
ValueCountFrequency (%)
1 22
46.8%
2 18
38.3%
3 5
 
10.6%
4 1
 
2.1%
5 1
 
2.1%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1057
89.8%
Common 120
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 134
 
12.7%
로 133
 
12.6%
경 132
 
12.5%
아 49
 
4.6%
트 36
 
3.4%
파 35
 
3.3%
동 27
 
2.6%
지 24
 
2.3%
센 22
 
2.1%
주 18
 
1.7%
Other values (156) 447
42.3%
Common
ValueCountFrequency (%)
38
31.7%
1 22
18.3%
2 18
15.0%
( 17
14.2%
) 17
14.2%
3 5
 
4.2%
4 1
 
0.8%
5 1
 
0.8%
@ 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1057
89.8%
ASCII 120
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 134
 
12.7%
로 133
 
12.6%
경 132
 
12.5%
아 49
 
4.6%
트 36
 
3.4%
파 35
 
3.3%
동 27
 
2.6%
지 24
 
2.3%
센 22
 
2.1%
주 18
 
1.7%
Other values (156) 447
42.3%
ASCII
ValueCountFrequency (%)
38
31.7%
1 22
18.3%
2 18
15.0%
( 17
14.2%
) 17
14.2%
3 5
 
4.2%
4 1
 
0.8%
5 1
 
0.8%
@ 1
 
0.8%

운영여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
운영
149 
미운영
 
5

Length

Max length3
Median length2
Mean length2.0324675
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 149
96.8%
미운영 5
 
3.2%

Length

2024-03-15T04:07:48.654000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:07:48.873514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 149
96.8%
미운영 5
 
3.2%

무더위쉼터 공동활용여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
활용
152 
비활용
 
2

Length

Max length3
Median length2
Mean length2.012987
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
활용 152
98.7%
비활용 2
 
1.3%

Length

2024-03-15T04:07:49.064509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:07:49.247701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활용 152
98.7%
비활용 2
 
1.3%

도로명주소
Text

Distinct151
Distinct (%)98.7%
Missing1
Missing (%)0.6%
Memory size1.3 KiB
2024-03-15T04:07:50.337090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length20.313725
Min length14

Characters and Unicode

Total characters3108
Distinct characters122
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)97.4%

Sample

1st row대전광역시 중구 보문로337번길 33 , 은행선화동주민센터 (선화동)
2nd row대전광역시 중구 중앙로59번길 82
3rd row대전광역시 중구 선화로97번길 29-3 (선화동)
4th row대전광역시 중구 보문로 341
5th row대전광역시 중구 동서대로1440번길 34
ValueCountFrequency (%)
대전광역시 153
23.5%
중구 153
23.5%
8
 
1.2%
대종로 6
 
0.9%
55 6
 
0.9%
태평로 6
 
0.9%
평촌로 4
 
0.6%
37 4
 
0.6%
산성동 4
 
0.6%
14 4
 
0.6%
Other values (244) 304
46.6%
2024-03-15T04:07:51.996598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
559
18.0%
대 186
 
6.0%
중 164
 
5.3%
로 156
 
5.0%
전 155
 
5.0%
구 154
 
5.0%
광 153
 
4.9%
역 153
 
4.9%
시 153
 
4.9%
1 124
 
4.0%
Other values (112) 1151
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1887
60.7%
Decimal Number 590
 
19.0%
Space Separator 559
 
18.0%
Dash Punctuation 21
 
0.7%
Close Punctuation 19
 
0.6%
Open Punctuation 19
 
0.6%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 186
9.9%
중 164
 
8.7%
로 156
 
8.3%
전 155
 
8.2%
구 154
 
8.2%
광 153
 
8.1%
역 153
 
8.1%
시 153
 
8.1%
길 90
 
4.8%
번 88
 
4.7%
Other values (97) 435
23.1%
Decimal Number
ValueCountFrequency (%)
1 124
21.0%
3 67
11.4%
6 62
10.5%
5 62
10.5%
2 60
10.2%
4 53
9.0%
8 49
 
8.3%
7 42
 
7.1%
9 40
 
6.8%
0 31
 
5.3%
Space Separator
ValueCountFrequency (%)
559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1887
60.7%
Common 1221
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 186
9.9%
중 164
 
8.7%
로 156
 
8.3%
전 155
 
8.2%
구 154
 
8.2%
광 153
 
8.1%
역 153
 
8.1%
시 153
 
8.1%
길 90
 
4.8%
번 88
 
4.7%
Other values (97) 435
23.1%
Common
ValueCountFrequency (%)
559
45.8%
1 124
 
10.2%
3 67
 
5.5%
6 62
 
5.1%
5 62
 
5.1%
2 60
 
4.9%
4 53
 
4.3%
8 49
 
4.0%
7 42
 
3.4%
9 40
 
3.3%
Other values (5) 103
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1887
60.7%
ASCII 1221
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
559
45.8%
1 124
 
10.2%
3 67
 
5.5%
6 62
 
5.1%
5 62
 
5.1%
2 60
 
4.9%
4 53
 
4.3%
8 49
 
4.0%
7 42
 
3.4%
9 40
 
3.3%
Other values (5) 103
 
8.4%
Hangul
ValueCountFrequency (%)
대 186
9.9%
중 164
 
8.7%
로 156
 
8.3%
전 155
 
8.2%
구 154
 
8.2%
광 153
 
8.1%
역 153
 
8.1%
시 153
 
8.1%
길 90
 
4.8%
번 88
 
4.7%
Other values (97) 435
23.1%

지번주소
Text

Distinct152
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T04:07:53.555091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.545455
Min length14

Characters and Unicode

Total characters2702
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

Unique150 ?
Unique (%)97.4%

Sample

1st row대전광역시 중구 선화동 194-1
2nd row대전광역시 중구 선화동 404-12
3rd row대전광역시 중구 선화동 190-40
4th row대전광역시 중구 선화동 151-1
5th row대전광역시 중구 선화동 162-1
ValueCountFrequency (%)
대전광역시 154
25.0%
중구 154
25.0%
문화동 24
 
3.9%
태평동 19
 
3.1%
중촌동 11
 
1.8%
유천동 9
 
1.5%
대흥동 9
 
1.5%
산성동 9
 
1.5%
목동 8
 
1.3%
부사동 8
 
1.3%
Other values (168) 211
34.3%
2024-03-15T04:07:55.617996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
17.1%
대 167
 
6.2%
중 165
 
6.1%
구 155
 
5.7%
동 154
 
5.7%
전 154
 
5.7%
시 154
 
5.7%
역 154
 
5.7%
광 154
 
5.7%
1 136
 
5.0%
Other values (48) 847
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1529
56.6%
Decimal Number 590
 
21.8%
Space Separator 462
 
17.1%
Dash Punctuation 121
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 167
10.9%
중 165
10.8%
구 155
10.1%
동 154
10.1%
전 154
10.1%
시 154
10.1%
역 154
10.1%
광 154
10.1%
화 32
 
2.1%
문 28
 
1.8%
Other values (36) 212
13.9%
Decimal Number
ValueCountFrequency (%)
1 136
23.1%
3 78
13.2%
2 76
12.9%
4 69
11.7%
7 51
 
8.6%
5 45
 
7.6%
6 34
 
5.8%
9 34
 
5.8%
8 34
 
5.8%
0 33
 
5.6%
Space Separator
ValueCountFrequency (%)
462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1529
56.6%
Common 1173
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 167
10.9%
중 165
10.8%
구 155
10.1%
동 154
10.1%
전 154
10.1%
시 154
10.1%
역 154
10.1%
광 154
10.1%
화 32
 
2.1%
문 28
 
1.8%
Other values (36) 212
13.9%
Common
ValueCountFrequency (%)
462
39.4%
1 136
 
11.6%
- 121
 
10.3%
3 78
 
6.6%
2 76
 
6.5%
4 69
 
5.9%
7 51
 
4.3%
5 45
 
3.8%
6 34
 
2.9%
9 34
 
2.9%
Other values (2) 67
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1529
56.6%
ASCII 1173
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
39.4%
1 136
 
11.6%
- 121
 
10.3%
3 78
 
6.6%
2 76
 
6.5%
4 69
 
5.9%
7 51
 
4.3%
5 45
 
3.8%
6 34
 
2.9%
9 34
 
2.9%
Other values (2) 67
 
5.7%
Hangul
ValueCountFrequency (%)
대 167
10.9%
중 165
10.8%
구 155
10.1%
동 154
10.1%
전 154
10.1%
시 154
10.1%
역 154
10.1%
광 154
10.1%
화 32
 
2.1%
문 28
 
1.8%
Other values (36) 212
13.9%

시설유형
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
노인시설
133 
주민센터
17 
복지회관
 
2
기타
 
1
보건소
 
1

Length

Max length4
Median length4
Mean length3.9805195
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row주민센터
2nd row노인시설
3rd row노인시설
4th row노인시설
5th row노인시설

Common Values

ValueCountFrequency (%)
노인시설 133
86.4%
주민센터 17
 
11.0%
복지회관 2
 
1.3%
기타 1
 
0.6%
보건소 1
 
0.6%

Length

2024-03-15T04:07:56.086971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:07:56.488339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인시설 133
86.4%
주민센터 17
 
11.0%
복지회관 2
 
1.3%
기타 1
 
0.6%
보건소 1
 
0.6%

시설면적
Text

Distinct133
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T04:07:58.160262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.6363636
Min length5

Characters and Unicode

Total characters868
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

Unique119 ?
Unique (%)77.3%

Sample

1st row206.80
2nd row100.59
3rd row126.40
4th row99.50
5th row139.21
ValueCountFrequency (%)
100.00 5
 
3.2%
99.00 4
 
2.6%
122.00 3
 
1.9%
165.00 3
 
1.9%
66.00 2
 
1.3%
90.00 2
 
1.3%
99.50 2
 
1.3%
84.48 2
 
1.3%
82.00 2
 
1.3%
132.00 2
 
1.3%
Other values (123) 127
82.5%
2024-03-15T04:07:59.984816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
26.3%
. 154
17.7%
1 105
12.1%
2 67
 
7.7%
9 56
 
6.5%
8 50
 
5.8%
5 48
 
5.5%
6 47
 
5.4%
4 44
 
5.1%
3 37
 
4.3%
Other values (2) 32
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 713
82.1%
Other Punctuation 155
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 228
32.0%
1 105
14.7%
2 67
 
9.4%
9 56
 
7.9%
8 50
 
7.0%
5 48
 
6.7%
6 47
 
6.6%
4 44
 
6.2%
3 37
 
5.2%
7 31
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 154
99.4%
, 1
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 868
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 228
26.3%
. 154
17.7%
1 105
12.1%
2 67
 
7.7%
9 56
 
6.5%
8 50
 
5.8%
5 48
 
5.5%
6 47
 
5.4%
4 44
 
5.1%
3 37
 
4.3%
Other values (2) 32
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 868
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
26.3%
. 154
17.7%
1 105
12.1%
2 67
 
7.7%
9 56
 
6.5%
8 50
 
5.8%
5 48
 
5.5%
6 47
 
5.4%
4 44
 
5.1%
3 37
 
4.3%
Other values (2) 32
 
3.7%

이용가능인원(명)
Real number (ℝ)

Distinct53
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.409091
Minimum5
Maximum292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T04:08:00.403863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.3
Q124
median31.5
Q350
95-th percentile100
Maximum292
Range287
Interquartile range (IQR)26

Descriptive statistics

Standard deviation34.816158
Coefficient of variation (CV)0.84078538
Kurtosis25.303785
Mean41.409091
Median Absolute Deviation (MAD)11.5
Skewness4.3156881
Sum6377
Variance1212.1649
MonotonicityNot monotonic
2024-03-15T04:08:00.944295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 19
 
12.3%
20 15
 
9.7%
50 13
 
8.4%
25 10
 
6.5%
60 8
 
5.2%
40 7
 
4.5%
24 7
 
4.5%
10 5
 
3.2%
22 4
 
2.6%
100 4
 
2.6%
Other values (43) 62
40.3%
ValueCountFrequency (%)
5 2
 
1.3%
9 1
 
0.6%
10 5
 
3.2%
12 1
 
0.6%
13 1
 
0.6%
15 2
 
1.3%
16 1
 
0.6%
18 1
 
0.6%
20 15
9.7%
22 4
 
2.6%
ValueCountFrequency (%)
292 1
 
0.6%
249 1
 
0.6%
160 1
 
0.6%
123 1
 
0.6%
104 1
 
0.6%
100 4
2.6%
80 1
 
0.6%
77 1
 
0.6%
75 1
 
0.6%
73 1
 
0.6%

평일개방여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size282.0 B
True
154 
ValueCountFrequency (%)
True 154
100.0%
2024-03-15T04:08:01.378832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평일시작시간
Categorical

Distinct9
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
09:00:00
85 
13:00:00
33 
10:00:00
14 
14:00:00
9 
12:00:00
 
5
Other values (4)
 
8

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row09:00:00
2nd row10:00:00
3rd row10:00:00
4th row10:00:00
5th row09:00:00

Common Values

ValueCountFrequency (%)
09:00:00 85
55.2%
13:00:00 33
 
21.4%
10:00:00 14
 
9.1%
14:00:00 9
 
5.8%
12:00:00 5
 
3.2%
13:30:00 3
 
1.9%
11:00:00 3
 
1.9%
10:30:00 1
 
0.6%
09:30:00 1
 
0.6%

Length

2024-03-15T04:08:01.759534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:02.125019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00:00 85
55.2%
13:00:00 33
 
21.4%
10:00:00 14
 
9.1%
14:00:00 9
 
5.8%
12:00:00 5
 
3.2%
13:30:00 3
 
1.9%
11:00:00 3
 
1.9%
10:30:00 1
 
0.6%
09:30:00 1
 
0.6%

평일종료시간
Categorical

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
18:00:00
81 
17:00:00
56 
15:00:00
 
7
17:30:00
 
4
16:00:00
 
2
Other values (3)
 
4

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row18:00:00
2nd row18:00:00
3rd row17:00:00
4th row17:00:00
5th row17:00:00

Common Values

ValueCountFrequency (%)
18:00:00 81
52.6%
17:00:00 56
36.4%
15:00:00 7
 
4.5%
17:30:00 4
 
2.6%
16:00:00 2
 
1.3%
16:30:00 2
 
1.3%
19:00:00 1
 
0.6%
18:30:00 1
 
0.6%

Length

2024-03-15T04:08:02.604637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:03.014236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:00:00 81
52.6%
17:00:00 56
36.4%
15:00:00 7
 
4.5%
17:30:00 4
 
2.6%
16:00:00 2
 
1.3%
16:30:00 2
 
1.3%
19:00:00 1
 
0.6%
18:30:00 1
 
0.6%

토요일개방여부
Boolean

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size282.0 B
False
94 
True
60 
ValueCountFrequency (%)
False 94
61.0%
True 60
39.0%
2024-03-15T04:08:03.265010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

토요일시작시간
Categorical

Distinct8
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
94 
09:00:00
35 
13:00:00
11 
10:00:00
10 
12:00:00
 
1
Other values (3)
 
3

Length

Max length8
Median length4
Mean length5.5584416
Min length4

Unique

Unique4 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row10:00:00
3rd row10:00:00
4th row<NA>
5th row09:00:00

Common Values

ValueCountFrequency (%)
<NA> 94
61.0%
09:00:00 35
 
22.7%
13:00:00 11
 
7.1%
10:00:00 10
 
6.5%
12:00:00 1
 
0.6%
11:00:00 1
 
0.6%
14:00:00 1
 
0.6%
10:30:00 1
 
0.6%

Length

2024-03-15T04:08:03.674054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:04.085987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
61.0%
09:00:00 35
 
22.7%
13:00:00 11
 
7.1%
10:00:00 10
 
6.5%
12:00:00 1
 
0.6%
11:00:00 1
 
0.6%
14:00:00 1
 
0.6%
10:30:00 1
 
0.6%

토요일종료시간
Categorical

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
94 
18:00:00
33 
17:00:00
23 
19:00:00
 
1
18:30:00
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length5.5584416
Min length4

Unique

Unique4 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row18:00:00
3rd row17:00:00
4th row<NA>
5th row17:00:00

Common Values

ValueCountFrequency (%)
<NA> 94
61.0%
18:00:00 33
 
21.4%
17:00:00 23
 
14.9%
19:00:00 1
 
0.6%
18:30:00 1
 
0.6%
17:30:00 1
 
0.6%
16:00:00 1
 
0.6%

Length

2024-03-15T04:08:04.596309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:05.038072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
61.0%
18:00:00 33
 
21.4%
17:00:00 23
 
14.9%
19:00:00 1
 
0.6%
18:30:00 1
 
0.6%
17:30:00 1
 
0.6%
16:00:00 1
 
0.6%

일요일개방여부
Boolean

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size282.0 B
False
108 
True
46 
ValueCountFrequency (%)
False 108
70.1%
True 46
29.9%
2024-03-15T04:08:05.423343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일요일시작시간
Categorical

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
108 
09:00:00
30 
13:00:00
 
8
10:00:00
 
6
14:00:00
 
1

Length

Max length8
Median length4
Mean length5.1948052
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row10:00:00
3rd row<NA>
4th row<NA>
5th row09:00:00

Common Values

ValueCountFrequency (%)
<NA> 108
70.1%
09:00:00 30
 
19.5%
13:00:00 8
 
5.2%
10:00:00 6
 
3.9%
14:00:00 1
 
0.6%
10:30:00 1
 
0.6%

Length

2024-03-15T04:08:05.828903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:06.224166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
70.1%
09:00:00 30
 
19.5%
13:00:00 8
 
5.2%
10:00:00 6
 
3.9%
14:00:00 1
 
0.6%
10:30:00 1
 
0.6%

일요일종료시간
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
108 
18:00:00
31 
17:00:00
14 
16:00:00
 
1

Length

Max length8
Median length4
Mean length5.1948052
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row18:00:00
3rd row<NA>
4th row<NA>
5th row17:00:00

Common Values

ValueCountFrequency (%)
<NA> 108
70.1%
18:00:00 31
 
20.1%
17:00:00 14
 
9.1%
16:00:00 1
 
0.6%

Length

2024-03-15T04:08:06.564818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:06.895871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
70.1%
18:00:00 31
 
20.1%
17:00:00 14
 
9.1%
16:00:00 1
 
0.6%

공휴일개방여부
Boolean

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size282.0 B
False
107 
True
47 
ValueCountFrequency (%)
False 107
69.5%
True 47
30.5%
2024-03-15T04:08:07.209458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공휴일시작시간
Categorical

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
107 
09:00:00
30 
13:00:00
 
10
10:00:00
 
5
14:00:00
 
1

Length

Max length8
Median length4
Mean length5.2207792
Min length4

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
69.5%
09:00:00 30
 
19.5%
13:00:00 10
 
6.5%
10:00:00 5
 
3.2%
14:00:00 1
 
0.6%
10:30:00 1
 
0.6%

Length

2024-03-15T04:08:07.569160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:07.964411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
69.5%
09:00:00 30
 
19.5%
13:00:00 10
 
6.5%
10:00:00 5
 
3.2%
14:00:00 1
 
0.6%
10:30:00 1
 
0.6%

공휴일종료시간
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
107 
18:00:00
31 
17:00:00
15 
16:00:00
 
1

Length

Max length8
Median length4
Mean length5.2207792
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
69.5%
18:00:00 31
 
20.1%
17:00:00 15
 
9.7%
16:00:00 1
 
0.6%

Length

2024-03-15T04:08:08.384444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:08.701817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
69.5%
18:00:00 31
 
20.1%
17:00:00 15
 
9.7%
16:00:00 1
 
0.6%

비고
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing152
Missing (%)98.7%
Memory size1.3 KiB
2024-03-15T04:08:09.159069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8
Min length7

Characters and Unicode

Total characters16
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row월,수,금만 운영
2nd row신축 공사 중
ValueCountFrequency (%)
월,수,금만 1
20.0%
운영 1
20.0%
신축 1
20.0%
공사 1
20.0%
중 1
20.0%
2024-03-15T04:08:10.130977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
18.8%
, 2
12.5%
월 1
 
6.2%
수 1
 
6.2%
금 1
 
6.2%
만 1
 
6.2%
운 1
 
6.2%
영 1
 
6.2%
신 1
 
6.2%
축 1
 
6.2%
Other values (3) 3
18.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
68.8%
Space Separator 3
 
18.8%
Other Punctuation 2
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 1
9.1%
수 1
9.1%
금 1
9.1%
만 1
9.1%
운 1
9.1%
영 1
9.1%
신 1
9.1%
축 1
9.1%
공 1
9.1%
사 1
9.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
68.8%
Common 5
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 1
9.1%
수 1
9.1%
금 1
9.1%
만 1
9.1%
운 1
9.1%
영 1
9.1%
신 1
9.1%
축 1
9.1%
공 1
9.1%
사 1
9.1%
Common
ValueCountFrequency (%)
3
60.0%
, 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
68.8%
ASCII 5
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
60.0%
, 2
40.0%
Hangul
ValueCountFrequency (%)
월 1
9.1%
수 1
9.1%
금 1
9.1%
만 1
9.1%
운 1
9.1%
영 1
9.1%
신 1
9.1%
축 1
9.1%
공 1
9.1%
사 1
9.1%

Sample

No쉼터명칭운영여부무더위쉼터 공동활용여부도로명주소지번주소시설유형시설면적이용가능인원(명)평일개방여부평일시작시간평일종료시간토요일개방여부토요일시작시간토요일종료시간일요일개방여부일요일시작시간일요일종료시간공휴일개방여부공휴일시작시간공휴일종료시간비고
01은행선화동주민센터운영활용대전광역시 중구 보문로337번길 33 , 은행선화동주민센터 (선화동)대전광역시 중구 선화동 194-1주민센터206.8052Y09:00:0018:00:00N<NA><NA>N<NA><NA>N<NA><NA><NA>
12선화1경로당운영활용대전광역시 중구 중앙로59번길 82대전광역시 중구 선화동 404-12노인시설100.5925Y10:00:0018:00:00Y10:00:0018:00:00Y10:00:0018:00:00N<NA><NA><NA>
23선화3경로당운영활용대전광역시 중구 선화로97번길 29-3 (선화동)대전광역시 중구 선화동 190-40노인시설126.4031Y10:00:0017:00:00Y10:00:0017:00:00N<NA><NA>N<NA><NA><NA>
34현대아파트경로당운영활용대전광역시 중구 보문로 341대전광역시 중구 선화동 151-1노인시설99.5024Y10:00:0017:00:00N<NA><NA>N<NA><NA>N<NA><NA><NA>
45푸른경로당운영활용대전광역시 중구 동서대로1440번길 34대전광역시 중구 선화동 162-1노인시설139.2130Y09:00:0017:00:00Y09:00:0017:00:00Y09:00:0017:00:00N<NA><NA><NA>
56은행경로당운영활용대전광역시 중구 목척6길 14대전광역시 중구 은행동 112-7노인시설190.6847Y10:00:0017:00:00N<NA><NA>N<NA><NA>N<NA><NA><NA>
67선화2경로당운영활용대전광역시 중구 우암로 14대전광역시 중구 선화동 77-15노인시설265.5066Y10:00:0017:00:00N<NA><NA>N<NA><NA>N<NA><NA><NA>
78선호아파트경로당운영활용대전광역시 중구 대종로 583대전광역시 중구 선화동 152-1노인시설101.1025Y09:00:0017:00:00N<NA><NA>N<NA><NA>N<NA><NA>월,수,금만 운영
89센트럴뷰아파트 경로당운영활용대전광역시 중구 중앙로 45대전광역시 중구 선화동 877노인시설163.4950Y10:00:0017:00:00Y10:00:0017:00:00Y10:00:0017:00:00Y10:00:0017:00:00<NA>
910방축골경로당운영활용대전광역시 중구 목동로8번길 54-1대전광역시 중구 목동 5-17노인시설120.2840Y13:00:0015:00:00N<NA><NA>N<NA><NA>N<NA><NA><NA>
No쉼터명칭운영여부무더위쉼터 공동활용여부도로명주소지번주소시설유형시설면적이용가능인원(명)평일개방여부평일시작시간평일종료시간토요일개방여부토요일시작시간토요일종료시간일요일개방여부일요일시작시간일요일종료시간공휴일개방여부공휴일시작시간공휴일종료시간비고
144145사정경로당운영활용대전광역시 중구 대둔산로350번길 122대전광역시 중구 사정동 405-6노인시설169.2560Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
145146정생1동경로당운영활용대전광역시 중구 정생로 13대전광역시 중구 정생동 280-1노인시설142.0060Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
146147안영경로당운영활용대전광역시 중구 대둔산로159번길 50대전광역시 중구 안영동 390-2노인시설205.2960Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
147148목달경로당운영활용대전광역시 중구 남달미로 85대전광역시 중구 목달동 104-3노인시설312.4850Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
148149본동경로당운영활용대전광역시 중구 대둔산로373번길 16대전광역시 중구 산성동 124-21노인시설184.8050Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
149150공원경로당운영활용대전광역시 중구 보문산로141번길 11대전광역시 중구 산성동 330-3노인시설152.3730Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
150151현암경로당운영활용대전광역시 중구 대둔산로31번길 61대전광역시 중구 안영동 167노인시설150.7430Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
151152구완경로당운영활용대전광역시 중구 운남로293번길 81-8대전광역시 중구 구완동 124-1노인시설50.0015Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
152153정생2동경로당운영활용대전광역시 중구 산서로 739대전광역시 중구 정생동 674-3노인시설118.8040Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>
153154만수정경로당운영활용대전광역시 중구 대둔산로346번길 55대전광역시 중구 사정동 433-29노인시설80.6450Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00Y09:00:0018:00:00<NA>