Overview

Dataset statistics

Number of variables24
Number of observations4135
Missing cells3335
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory832.0 KiB
Average record size in memory206.0 B

Variable types

Numeric13
Categorical1
Text4
Boolean4
DateTime2

Dataset

Description시설번호,년도,지역코드,시설유형,쉼터명칭,도로명주소,지번상세주소,면적,이용가능인원,선풍기보유대수,에어컨보유대수,야간개방,휴일개방,숙박가능여부,입력시간,수정시간,사용여부,비고,운영시작일,운영종료일,경도,위도,X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21065/S/1/datasetView.do

Alerts

년도 has constant value ""Constant
입력시간 has constant value ""Constant
수정시간 has constant value ""Constant
야간개방 is highly imbalanced (60.8%)Imbalance
휴일개방 is highly imbalanced (59.0%)Imbalance
사용여부 is highly imbalanced (91.0%)Imbalance
비고 has 3149 (76.2%) missing valuesMissing
운영시작일 has 93 (2.2%) missing valuesMissing
운영종료일 has 93 (2.2%) missing valuesMissing
면적 is highly skewed (γ1 = 22.14753685)Skewed
운영종료일 is highly skewed (γ1 = 44.93863053)Skewed
면적 has 48 (1.2%) zerosZeros
선풍기보유대수 has 492 (11.9%) zerosZeros
에어컨보유대수 has 96 (2.3%) zerosZeros

Reproduction

Analysis started2024-05-11 05:52:10.471805
Analysis finished2024-05-11 05:52:12.063316
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

Distinct4134
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.661875 × 108
Minimum11110002
Maximum1.1740003 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:12.189857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110002
5-th percentile11170090
Q111305046
median11530216
Q31.1380002 × 109
95-th percentile1.1650001 × 109
Maximum1.1740003 × 109
Range1.1628903 × 109
Interquartile range (IQR)1.1266951 × 109

Descriptive statistics

Standard deviation5.2421621 × 108
Coefficient of variation (CV)1.4315514
Kurtosis-1.3139778
Mean3.661875 × 108
Median Absolute Deviation (MAD)270206
Skewness0.82517703
Sum1.5141853 × 1012
Variance2.7480263 × 1017
MonotonicityNot monotonic
2024-05-11T14:52:12.470627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1129000255 2
 
< 0.1%
11200002 1
 
< 0.1%
11500182 1
 
< 0.1%
11500087 1
 
< 0.1%
11500088 1
 
< 0.1%
11500089 1
 
< 0.1%
11500090 1
 
< 0.1%
11500092 1
 
< 0.1%
11500093 1
 
< 0.1%
11500094 1
 
< 0.1%
Other values (4124) 4124
99.7%
ValueCountFrequency (%)
11110002 1
< 0.1%
11110003 1
< 0.1%
11110004 1
< 0.1%
11110005 1
< 0.1%
11110007 1
< 0.1%
11110008 1
< 0.1%
11110009 1
< 0.1%
11110010 1
< 0.1%
11110011 1
< 0.1%
11110012 1
< 0.1%
ValueCountFrequency (%)
1174000275 1
< 0.1%
1174000274 1
< 0.1%
1174000273 1
< 0.1%
1174000272 1
< 0.1%
1174000271 1
< 0.1%
1174000270 1
< 0.1%
1174000269 1
< 0.1%
1174000268 1
< 0.1%
1174000267 1
< 0.1%
1174000266 1
< 0.1%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024
4135 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024
2nd row2024
3rd row2024
4th row2024
5th row2024

Common Values

ValueCountFrequency (%)
2024 4135
100.0%

Length

2024-05-11T14:52:12.700892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:12.885917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024 4135
100.0%

지역코드
Real number (ℝ)

Distinct508
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1429165 × 109
Minimum1.1110168 × 109
Maximum1.17407 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:13.079779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110168 × 109
5-th percentile1.117063 × 109
Q11.129064 × 109
median1.141071 × 109
Q31.1560585 × 109
95-th percentile1.1740516 × 109
Maximum1.17407 × 109
Range63053200
Interquartile range (IQR)26994500

Descriptive statistics

Standard deviation17416994
Coefficient of variation (CV)0.015239078
Kurtosis-1.0273492
Mean1.1429165 × 109
Median Absolute Deviation (MAD)13491000
Skewness0.14633102
Sum4.7259598 × 1012
Variance3.0335169 × 1014
MonotonicityNot monotonic
2024-05-11T14:52:13.345417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1138069000 40
 
1.0%
1135060000 31
 
0.7%
1147060000 30
 
0.7%
1174051500 30
 
0.7%
1153078000 29
 
0.7%
1129070500 28
 
0.7%
1150063000 27
 
0.7%
1135063000 26
 
0.6%
1147064000 25
 
0.6%
1154561000 25
 
0.6%
Other values (498) 3844
93.0%
ValueCountFrequency (%)
1111016800 1
 
< 0.1%
1111051500 3
0.1%
1111053000 3
0.1%
1111054000 3
0.1%
1111055000 3
0.1%
1111056000 4
0.1%
1111057000 5
0.1%
1111058000 3
0.1%
1111060000 4
0.1%
1111061500 5
0.1%
ValueCountFrequency (%)
1174070000 16
0.4%
1174068500 4
 
0.1%
1174067000 21
0.5%
1174066000 12
0.3%
1174065000 10
0.2%
1174064000 12
0.3%
1174062000 15
0.4%
1174061000 16
0.4%
1174060000 9
0.2%
1174059000 8
 
0.2%

시설유형
Real number (ℝ)

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.262636
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:13.581018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile13
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.293759
Coefficient of variation (CV)3.2404501
Kurtosis16.756237
Mean6.262636
Median Absolute Deviation (MAD)0
Skewness4.3054687
Sum25896
Variance411.83667
MonotonicityNot monotonic
2024-05-11T14:52:13.785076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 3166
76.6%
5 423
 
10.2%
99 187
 
4.5%
2 172
 
4.2%
8 116
 
2.8%
12 23
 
0.6%
11 16
 
0.4%
13 11
 
0.3%
7 8
 
0.2%
15 7
 
0.2%
Other values (2) 6
 
0.1%
ValueCountFrequency (%)
1 3166
76.6%
2 172
 
4.2%
4 1
 
< 0.1%
5 423
 
10.2%
7 8
 
0.2%
8 116
 
2.8%
11 16
 
0.4%
12 23
 
0.6%
13 11
 
0.3%
14 5
 
0.1%
ValueCountFrequency (%)
99 187
4.5%
15 7
 
0.2%
14 5
 
0.1%
13 11
 
0.3%
12 23
 
0.6%
11 16
 
0.4%
8 116
 
2.8%
7 8
 
0.2%
5 423
10.2%
4 1
 
< 0.1%

쉼터명칭
Text

Distinct3947
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-05-11T14:52:14.320349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length9.4938331
Min length3

Characters and Unicode

Total characters39257
Distinct characters537
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3828 ?
Unique (%)92.6%

Sample

1st row무학경로당
2nd row한신무학(아) 경로당
3rd row풍림아파트 경로당
4th row극동미라주아파트 경로당
5th row극동미라주아파트 제2경로당
ValueCountFrequency (%)
경로당 549
 
10.3%
주민센터 130
 
2.4%
제2경로당 27
 
0.5%
새마을금고 26
 
0.5%
어르신사랑방 23
 
0.4%
작은도서관 16
 
0.3%
인근 14
 
0.3%
제1경로당 13
 
0.2%
중랑천 11
 
0.2%
서초구립 11
 
0.2%
Other values (4023) 4513
84.6%
2024-05-11T14:52:14.958579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 3058
 
7.8%
경 3040
 
7.7%
당 3028
 
7.7%
아 1545
 
3.9%
1212
 
3.1%
동 1156
 
2.9%
파 973
 
2.5%
트 918
 
2.3%
( 736
 
1.9%
) 734
 
1.9%
Other values (527) 22857
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34514
87.9%
Decimal Number 1570
 
4.0%
Space Separator 1212
 
3.1%
Open Punctuation 736
 
1.9%
Close Punctuation 734
 
1.9%
Uppercase Letter 362
 
0.9%
Other Punctuation 79
 
0.2%
Lowercase Letter 36
 
0.1%
Dash Punctuation 11
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3058
 
8.9%
경 3040
 
8.8%
당 3028
 
8.8%
아 1545
 
4.5%
동 1156
 
3.3%
파 973
 
2.8%
트 918
 
2.7%
지 730
 
2.1%
터 555
 
1.6%
센 537
 
1.6%
Other values (479) 18974
55.0%
Uppercase Letter
ValueCountFrequency (%)
A 182
50.3%
S 26
 
7.2%
C 24
 
6.6%
P 22
 
6.1%
T 21
 
5.8%
K 18
 
5.0%
H 13
 
3.6%
M 11
 
3.0%
D 11
 
3.0%
L 9
 
2.5%
Other values (8) 25
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 499
31.8%
2 481
30.6%
3 193
 
12.3%
4 121
 
7.7%
5 75
 
4.8%
6 53
 
3.4%
0 51
 
3.2%
7 46
 
2.9%
9 29
 
1.8%
8 22
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 26
72.2%
s 3
 
8.3%
k 2
 
5.6%
l 2
 
5.6%
i 1
 
2.8%
h 1
 
2.8%
v 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
@ 49
62.0%
. 16
 
20.3%
, 11
 
13.9%
& 1
 
1.3%
? 1
 
1.3%
: 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
1212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 736
100.0%
Close Punctuation
ValueCountFrequency (%)
) 734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34514
87.9%
Common 4345
 
11.1%
Latin 398
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3058
 
8.9%
경 3040
 
8.8%
당 3028
 
8.8%
아 1545
 
4.5%
동 1156
 
3.3%
파 973
 
2.8%
트 918
 
2.7%
지 730
 
2.1%
터 555
 
1.6%
센 537
 
1.6%
Other values (479) 18974
55.0%
Latin
ValueCountFrequency (%)
A 182
45.7%
e 26
 
6.5%
S 26
 
6.5%
C 24
 
6.0%
P 22
 
5.5%
T 21
 
5.3%
K 18
 
4.5%
H 13
 
3.3%
M 11
 
2.8%
D 11
 
2.8%
Other values (15) 44
 
11.1%
Common
ValueCountFrequency (%)
1212
27.9%
( 736
16.9%
) 734
16.9%
1 499
11.5%
2 481
 
11.1%
3 193
 
4.4%
4 121
 
2.8%
5 75
 
1.7%
6 53
 
1.2%
0 51
 
1.2%
Other values (13) 190
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34514
87.9%
ASCII 4742
 
12.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 3058
 
8.9%
경 3040
 
8.8%
당 3028
 
8.8%
아 1545
 
4.5%
동 1156
 
3.3%
파 973
 
2.8%
트 918
 
2.7%
지 730
 
2.1%
터 555
 
1.6%
센 537
 
1.6%
Other values (479) 18974
55.0%
ASCII
ValueCountFrequency (%)
1212
25.6%
( 736
15.5%
) 734
15.5%
1 499
10.5%
2 481
 
10.1%
3 193
 
4.1%
A 182
 
3.8%
4 121
 
2.6%
5 75
 
1.6%
6 53
 
1.1%
Other values (37) 456
 
9.6%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

도로명주소
Text

Distinct3895
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-05-11T14:52:15.743218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length21.761306
Min length15

Characters and Unicode

Total characters89983
Distinct characters384
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3696 ?
Unique (%)89.4%

Sample

1st row서울특별시 성동구 왕십리로31길 29
2nd row서울특별시 성동구 왕십리로31나길 22
3rd row서울특별시 성동구 난계로 84
4th row서울특별시 성동구 난계로 73
5th row서울특별시 성동구 난계로 67
ValueCountFrequency (%)
서울특별시 4135
 
23.0%
노원구 289
 
1.6%
성북구 268
 
1.5%
구로구 258
 
1.4%
강동구 238
 
1.3%
강서구 221
 
1.2%
성동구 208
 
1.2%
송파구 197
 
1.1%
양천구 197
 
1.1%
은평구 188
 
1.0%
Other values (3895) 11754
65.5%
2024-05-11T14:52:16.777574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16726
18.6%
서 4790
 
5.3%
구 4507
 
5.0%
로 4270
 
4.7%
시 4260
 
4.7%
울 4156
 
4.6%
특 4135
 
4.6%
별 4135
 
4.6%
1 3086
 
3.4%
길 2617
 
2.9%
Other values (374) 37301
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55635
61.8%
Space Separator 16726
 
18.6%
Decimal Number 15078
 
16.8%
Dash Punctuation 727
 
0.8%
Close Punctuation 707
 
0.8%
Open Punctuation 707
 
0.8%
Other Punctuation 389
 
0.4%
Uppercase Letter 11
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 4790
 
8.6%
구 4507
 
8.1%
로 4270
 
7.7%
시 4260
 
7.7%
울 4156
 
7.5%
특 4135
 
7.4%
별 4135
 
7.4%
길 2617
 
4.7%
동 2175
 
3.9%
대 823
 
1.5%
Other values (355) 19767
35.5%
Decimal Number
ValueCountFrequency (%)
1 3086
20.5%
2 2211
14.7%
3 1769
11.7%
5 1419
9.4%
4 1381
9.2%
6 1164
 
7.7%
7 1103
 
7.3%
0 1085
 
7.2%
8 941
 
6.2%
9 919
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
45.5%
C 4
36.4%
K 2
 
18.2%
Space Separator
ValueCountFrequency (%)
16726
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 727
100.0%
Close Punctuation
ValueCountFrequency (%)
) 707
100.0%
Open Punctuation
ValueCountFrequency (%)
( 707
100.0%
Other Punctuation
ValueCountFrequency (%)
, 389
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55635
61.8%
Common 34334
38.2%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 4790
 
8.6%
구 4507
 
8.1%
로 4270
 
7.7%
시 4260
 
7.7%
울 4156
 
7.5%
특 4135
 
7.4%
별 4135
 
7.4%
길 2617
 
4.7%
동 2175
 
3.9%
대 823
 
1.5%
Other values (355) 19767
35.5%
Common
ValueCountFrequency (%)
16726
48.7%
1 3086
 
9.0%
2 2211
 
6.4%
3 1769
 
5.2%
5 1419
 
4.1%
4 1381
 
4.0%
6 1164
 
3.4%
7 1103
 
3.2%
0 1085
 
3.2%
8 941
 
2.7%
Other values (5) 3449
 
10.0%
Latin
ValueCountFrequency (%)
A 5
35.7%
C 4
28.6%
e 3
21.4%
K 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55635
61.8%
ASCII 34348
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16726
48.7%
1 3086
 
9.0%
2 2211
 
6.4%
3 1769
 
5.2%
5 1419
 
4.1%
4 1381
 
4.0%
6 1164
 
3.4%
7 1103
 
3.2%
0 1085
 
3.2%
8 941
 
2.7%
Other values (9) 3463
 
10.1%
Hangul
ValueCountFrequency (%)
서 4790
 
8.6%
구 4507
 
8.1%
로 4270
 
7.7%
시 4260
 
7.7%
울 4156
 
7.5%
특 4135
 
7.4%
별 4135
 
7.4%
길 2617
 
4.7%
동 2175
 
3.9%
대 823
 
1.5%
Other values (355) 19767
35.5%

지번상세주소
Text

Distinct3913
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2024-05-11T14:52:17.344773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length18.87231
Min length15

Characters and Unicode

Total characters78037
Distinct characters272
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3725 ?
Unique (%)90.1%

Sample

1st row서울특별시 성동구 하왕십리동 990-7
2nd row서울특별시 성동구 하왕십리동 990
3rd row서울특별시 성동구 하왕십리동 1061
4th row서울특별시 성동구 하왕십리동 1058
5th row서울특별시 성동구 하왕십리동 1058
ValueCountFrequency (%)
서울특별시 4135
 
24.7%
노원구 289
 
1.7%
성북구 268
 
1.6%
구로구 258
 
1.5%
강동구 238
 
1.4%
강서구 221
 
1.3%
성동구 208
 
1.2%
송파구 197
 
1.2%
양천구 197
 
1.2%
은평구 188
 
1.1%
Other values (3482) 10571
63.0%
2024-05-11T14:52:18.147239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12635
16.2%
동 5003
 
6.4%
서 4648
 
6.0%
구 4522
 
5.8%
시 4200
 
5.4%
울 4137
 
5.3%
특 4135
 
5.3%
별 4135
 
5.3%
1 3074
 
3.9%
- 2169
 
2.8%
Other values (262) 29379
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47370
60.7%
Decimal Number 15818
 
20.3%
Space Separator 12635
 
16.2%
Dash Punctuation 2169
 
2.8%
Close Punctuation 35
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5003
 
10.6%
서 4648
 
9.8%
구 4522
 
9.5%
시 4200
 
8.9%
울 4137
 
8.7%
특 4135
 
8.7%
별 4135
 
8.7%
강 685
 
1.4%
성 605
 
1.3%
천 476
 
1.0%
Other values (244) 14824
31.3%
Decimal Number
ValueCountFrequency (%)
1 3074
19.4%
2 1944
12.3%
3 1733
11.0%
4 1552
9.8%
5 1515
9.6%
6 1368
8.6%
7 1327
8.4%
0 1174
 
7.4%
8 1088
 
6.9%
9 1043
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
A 5
83.3%
B 1
 
16.7%
Space Separator
ValueCountFrequency (%)
12635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47370
60.7%
Common 30660
39.3%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5003
 
10.6%
서 4648
 
9.8%
구 4522
 
9.5%
시 4200
 
8.9%
울 4137
 
8.7%
특 4135
 
8.7%
별 4135
 
8.7%
강 685
 
1.4%
성 605
 
1.3%
천 476
 
1.0%
Other values (244) 14824
31.3%
Common
ValueCountFrequency (%)
12635
41.2%
1 3074
 
10.0%
- 2169
 
7.1%
2 1944
 
6.3%
3 1733
 
5.7%
4 1552
 
5.1%
5 1515
 
4.9%
6 1368
 
4.5%
7 1327
 
4.3%
0 1174
 
3.8%
Other values (5) 2169
 
7.1%
Latin
ValueCountFrequency (%)
A 5
71.4%
Ⅱ 1
 
14.3%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47370
60.7%
ASCII 30666
39.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12635
41.2%
1 3074
 
10.0%
- 2169
 
7.1%
2 1944
 
6.3%
3 1733
 
5.7%
4 1552
 
5.1%
5 1515
 
4.9%
6 1368
 
4.5%
7 1327
 
4.3%
0 1174
 
3.8%
Other values (7) 2175
 
7.1%
Hangul
ValueCountFrequency (%)
동 5003
 
10.6%
서 4648
 
9.8%
구 4522
 
9.5%
시 4200
 
8.9%
울 4137
 
8.7%
특 4135
 
8.7%
별 4135
 
8.7%
강 685
 
1.4%
성 605
 
1.3%
천 476
 
1.0%
Other values (244) 14824
31.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct648
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.98573
Minimum0
Maximum26318
Zeros48
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:18.400068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q165
median107
Q3185
95-th percentile690
Maximum26318
Range26318
Interquartile range (IQR)120

Descriptive statistics

Standard deviation619.57173
Coefficient of variation (CV)2.8685771
Kurtosis804.0754
Mean215.98573
Median Absolute Deviation (MAD)51
Skewness22.147537
Sum893101
Variance383869.13
MonotonicityNot monotonic
2024-05-11T14:52:18.653203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 124
 
3.0%
100 71
 
1.7%
60 53
 
1.3%
66 50
 
1.2%
0 48
 
1.2%
90 44
 
1.1%
120 43
 
1.0%
99 40
 
1.0%
200 40
 
1.0%
40 38
 
0.9%
Other values (638) 3584
86.7%
ValueCountFrequency (%)
0 48
1.2%
3 9
 
0.2%
4 1
 
< 0.1%
5 1
 
< 0.1%
10 8
 
0.2%
12 2
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
17 3
 
0.1%
18 2
 
< 0.1%
ValueCountFrequency (%)
26318 1
< 0.1%
10672 1
< 0.1%
8000 1
< 0.1%
7464 1
< 0.1%
6667 1
< 0.1%
6046 1
< 0.1%
5804 1
< 0.1%
5666 1
< 0.1%
5468 1
< 0.1%
4414 1
< 0.1%

이용가능인원
Real number (ℝ)

Distinct180
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.346796
Minimum0
Maximum2000
Zeros29
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:18.903378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median30
Q343
95-th percentile89
Maximum2000
Range2000
Interquartile range (IQR)23

Descriptive statistics

Standard deviation64.752057
Coefficient of variation (CV)1.6456755
Kurtosis301.87742
Mean39.346796
Median Absolute Deviation (MAD)10
Skewness14.06024
Sum162699
Variance4192.8289
MonotonicityNot monotonic
2024-05-11T14:52:19.152988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 413
 
10.0%
30 401
 
9.7%
50 238
 
5.8%
40 214
 
5.2%
10 199
 
4.8%
25 176
 
4.3%
15 143
 
3.5%
60 86
 
2.1%
22 84
 
2.0%
21 83
 
2.0%
Other values (170) 2098
50.7%
ValueCountFrequency (%)
0 29
 
0.7%
3 1
 
< 0.1%
4 3
 
0.1%
5 69
 
1.7%
6 18
 
0.4%
7 25
 
0.6%
8 30
 
0.7%
9 26
 
0.6%
10 199
4.8%
11 27
 
0.7%
ValueCountFrequency (%)
2000 1
< 0.1%
1371 1
< 0.1%
1057 1
< 0.1%
967 1
< 0.1%
848 1
< 0.1%
763 1
< 0.1%
752 1
< 0.1%
745 1
< 0.1%
700 1
< 0.1%
663 1
< 0.1%

선풍기보유대수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8785973
Minimum0
Maximum44
Zeros492
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:19.397043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum44
Range44
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8729363
Coefficient of variation (CV)0.9980334
Kurtosis26.838352
Mean2.8785973
Median Absolute Deviation (MAD)1
Skewness3.7784219
Sum11903
Variance8.2537629
MonotonicityNot monotonic
2024-05-11T14:52:19.621196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 1342
32.5%
3 609
14.7%
1 579
14.0%
4 496
 
12.0%
0 492
 
11.9%
5 228
 
5.5%
6 120
 
2.9%
10 84
 
2.0%
7 49
 
1.2%
8 37
 
0.9%
Other values (18) 99
 
2.4%
ValueCountFrequency (%)
0 492
 
11.9%
1 579
14.0%
2 1342
32.5%
3 609
14.7%
4 496
 
12.0%
5 228
 
5.5%
6 120
 
2.9%
7 49
 
1.2%
8 37
 
0.9%
9 19
 
0.5%
ValueCountFrequency (%)
44 1
 
< 0.1%
33 1
 
< 0.1%
30 2
 
< 0.1%
28 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
21 1
 
< 0.1%
20 11
0.3%
18 4
 
0.1%

에어컨보유대수
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2009674
Minimum0
Maximum104
Zeros96
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:19.841174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum104
Range104
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4654978
Coefficient of variation (CV)1.5745339
Kurtosis351.41237
Mean2.2009674
Median Absolute Deviation (MAD)1
Skewness15.756424
Sum9101
Variance12.009675
MonotonicityNot monotonic
2024-05-11T14:52:20.010767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1713
41.4%
2 1458
35.3%
3 404
 
9.8%
4 198
 
4.8%
5 96
 
2.3%
0 96
 
2.3%
6 66
 
1.6%
10 20
 
0.5%
7 18
 
0.4%
8 18
 
0.4%
Other values (24) 48
 
1.2%
ValueCountFrequency (%)
0 96
 
2.3%
1 1713
41.4%
2 1458
35.3%
3 404
 
9.8%
4 198
 
4.8%
5 96
 
2.3%
6 66
 
1.6%
7 18
 
0.4%
8 18
 
0.4%
9 10
 
0.2%
ValueCountFrequency (%)
104 1
< 0.1%
79 1
< 0.1%
77 1
< 0.1%
69 1
< 0.1%
54 1
< 0.1%
50 1
< 0.1%
32 2
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%

야간개방
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
True
3816 
False
 
319
ValueCountFrequency (%)
True 3816
92.3%
False 319
 
7.7%
2024-05-11T14:52:20.184202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴일개방
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
True
3795 
False
 
340
ValueCountFrequency (%)
True 3795
91.8%
False 340
 
8.2%
2024-05-11T14:52:20.335843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

숙박가능여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
False
3649 
True
486 
ValueCountFrequency (%)
False 3649
88.2%
True 486
 
11.8%
2024-05-11T14:52:20.465529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

입력시간
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum2023-10-16 17:24:29
Maximum2023-10-16 17:24:29
2024-05-11T14:52:20.564331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:52:20.694732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수정시간
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
Minimum2023-10-16 17:24:29
Maximum2023-10-16 17:24:29
2024-05-11T14:52:20.894778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:52:21.071611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
True
4088 
False
 
47
ValueCountFrequency (%)
True 4088
98.9%
False 47
 
1.1%
2024-05-11T14:52:21.230178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고
Text

MISSING 

Distinct65
Distinct (%)6.6%
Missing3149
Missing (%)76.2%
Memory size32.4 KiB
2024-05-11T14:52:21.478982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length92
Mean length38.595335
Min length3

Characters and Unicode

Total characters38055
Distinct characters179
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.8%

Sample

1st row폭염 특보 시 추가운영 평일 : 09:00~21:00 주말 공휴일 : 12:00~16:00
2nd row폭염 특보 시 추가운영 평일 : 09:00~21:00 주말 공휴일 : 09:00~21:00
3rd row폭염 특보 시 추가운영 평일 : 09:00~21:00 주말 공휴일 : 12:00~16:00
4th row폭염 특보 시 추가운영 평일 : 09:00~21:00 주말 공휴일 : 12:00~16:00
5th row 경로당 노후화로 이전 준비 중
ValueCountFrequency (%)
1488
17.6%
평일 773
9.1%
시 773
9.1%
폭염 772
9.1%
특보 772
9.1%
추가운영 772
9.1%
주말 695
8.2%
공휴일 695
8.2%
09:00~18:00 452
 
5.3%
18:00~21:00 431
 
5.1%
Other values (135) 839
9.9%
2024-05-11T14:52:21.999908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7691
20.2%
0 6672
17.5%
: 4405
11.6%
1 2126
 
5.6%
일 1510
 
4.0%
~ 1471
 
3.9%
8 972
 
2.6%
9 835
 
2.2%
2 820
 
2.2%
시 808
 
2.1%
Other values (169) 10745
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12573
33.0%
Decimal Number 11801
31.0%
Space Separator 7691
20.2%
Other Punctuation 4468
 
11.7%
Math Symbol 1471
 
3.9%
Lowercase Letter 18
 
< 0.1%
Close Punctuation 15
 
< 0.1%
Open Punctuation 15
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1510
 
12.0%
시 808
 
6.4%
운 787
 
6.3%
영 786
 
6.3%
염 776
 
6.2%
폭 776
 
6.2%
보 776
 
6.2%
특 774
 
6.2%
가 774
 
6.2%
평 773
 
6.1%
Other values (135) 4033
32.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
11.1%
v 2
11.1%
a 2
11.1%
l 2
11.1%
d 1
 
5.6%
n 1
 
5.6%
j 1
 
5.6%
s 1
 
5.6%
c 1
 
5.6%
r 1
 
5.6%
Other values (4) 4
22.2%
Decimal Number
ValueCountFrequency (%)
0 6672
56.5%
1 2126
 
18.0%
8 972
 
8.2%
9 835
 
7.1%
2 820
 
6.9%
3 164
 
1.4%
7 145
 
1.2%
5 43
 
0.4%
6 21
 
0.2%
4 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 4405
98.6%
, 32
 
0.7%
※ 20
 
0.4%
. 10
 
0.2%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7691
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1471
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25464
66.9%
Hangul 12573
33.0%
Latin 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1510
 
12.0%
시 808
 
6.4%
운 787
 
6.3%
영 786
 
6.3%
염 776
 
6.2%
폭 776
 
6.2%
보 776
 
6.2%
특 774
 
6.2%
가 774
 
6.2%
평 773
 
6.1%
Other values (135) 4033
32.1%
Common
ValueCountFrequency (%)
7691
30.2%
0 6672
26.2%
: 4405
17.3%
1 2126
 
8.3%
~ 1471
 
5.8%
8 972
 
3.8%
9 835
 
3.3%
2 820
 
3.2%
3 164
 
0.6%
7 145
 
0.6%
Other values (10) 163
 
0.6%
Latin
ValueCountFrequency (%)
i 2
11.1%
v 2
11.1%
a 2
11.1%
l 2
11.1%
d 1
 
5.6%
n 1
 
5.6%
j 1
 
5.6%
s 1
 
5.6%
c 1
 
5.6%
r 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25462
66.9%
Hangul 12573
33.0%
Punctuation 20
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7691
30.2%
0 6672
26.2%
: 4405
17.3%
1 2126
 
8.3%
~ 1471
 
5.8%
8 972
 
3.8%
9 835
 
3.3%
2 820
 
3.2%
3 164
 
0.6%
7 145
 
0.6%
Other values (23) 161
 
0.6%
Hangul
ValueCountFrequency (%)
일 1510
 
12.0%
시 808
 
6.4%
운 787
 
6.3%
영 786
 
6.3%
염 776
 
6.2%
폭 776
 
6.2%
보 776
 
6.2%
특 774
 
6.2%
가 774
 
6.2%
평 773
 
6.1%
Other values (135) 4033
32.1%
Punctuation
ValueCountFrequency (%)
※ 20
100.0%

운영시작일
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.6%
Missing93
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean20229659
Minimum20220502
Maximum20230825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:22.534014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20220502
5-th percentile20220520
Q120230520
median20230520
Q320230520
95-th percentile20230522
Maximum20230825
Range10323
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2813.6957
Coefficient of variation (CV)0.00013908765
Kurtosis6.6518842
Mean20229659
Median Absolute Deviation (MAD)0
Skewness-2.9406767
Sum8.1768282 × 1010
Variance7916883.6
MonotonicityNot monotonic
2024-05-11T14:52:22.758579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20230520 3469
83.9%
20220520 344
 
8.3%
20230601 146
 
3.5%
20230522 26
 
0.6%
20230605 6
 
0.1%
20230607 6
 
0.1%
20230515 6
 
0.1%
20230825 6
 
0.1%
20220701 4
 
0.1%
20230703 4
 
0.1%
Other values (14) 25
 
0.6%
(Missing) 93
 
2.2%
ValueCountFrequency (%)
20220502 2
 
< 0.1%
20220520 344
 
8.3%
20220701 4
 
0.1%
20230515 6
 
0.1%
20230520 3469
83.9%
20230522 26
 
0.6%
20230530 3
 
0.1%
20230601 146
 
3.5%
20230605 6
 
0.1%
20230607 6
 
0.1%
ValueCountFrequency (%)
20230825 6
0.1%
20230822 1
 
< 0.1%
20230808 1
 
< 0.1%
20230801 2
 
< 0.1%
20230725 1
 
< 0.1%
20230724 1
 
< 0.1%
20230720 1
 
< 0.1%
20230710 2
 
< 0.1%
20230704 3
0.1%
20230703 4
0.1%

운영종료일
Real number (ℝ)

MISSING  SKEWED 

Distinct9
Distinct (%)0.2%
Missing93
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean20269579
Minimum20220831
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:22.955648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20220831
5-th percentile20220930
Q120230930
median20230930
Q320230930
95-th percentile20230930
Maximum99991231
Range79770400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1774005.7
Coefficient of variation (CV)0.087520596
Kurtosis2018.4855
Mean20269579
Median Absolute Deviation (MAD)0
Skewness44.938631
Sum8.192964 × 1010
Variance3.1470961 × 1012
MonotonicityNot monotonic
2024-05-11T14:52:23.233774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20230930 3690
89.2%
20220930 336
 
8.1%
20231015 6
 
0.1%
20220831 3
 
0.1%
20230920 2
 
< 0.1%
99991231 2
 
< 0.1%
20230713 1
 
< 0.1%
20231030 1
 
< 0.1%
20320930 1
 
< 0.1%
(Missing) 93
 
2.2%
ValueCountFrequency (%)
20220831 3
 
0.1%
20220930 336
 
8.1%
20230713 1
 
< 0.1%
20230920 2
 
< 0.1%
20230930 3690
89.2%
20231015 6
 
0.1%
20231030 1
 
< 0.1%
20320930 1
 
< 0.1%
99991231 2
 
< 0.1%
ValueCountFrequency (%)
99991231 2
 
< 0.1%
20320930 1
 
< 0.1%
20231030 1
 
< 0.1%
20231015 6
 
0.1%
20230930 3690
89.2%
20230920 2
 
< 0.1%
20230713 1
 
< 0.1%
20220930 336
 
8.1%
20220831 3
 
0.1%

경도
Real number (ℝ)

Distinct3997
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98948
Minimum126.79878
Maximum127.1807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:23.475825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79878
5-th percentile126.84174
Q1126.91113
median127.00996
Q3127.06045
95-th percentile127.13541
Maximum127.1807
Range0.381916
Interquartile range (IQR)0.1493195

Descriptive statistics

Standard deviation0.091655497
Coefficient of variation (CV)0.00072175664
Kurtosis-1.029822
Mean126.98948
Median Absolute Deviation (MAD)0.072321
Skewness-0.07757147
Sum525101.48
Variance0.0084007302
MonotonicityNot monotonic
2024-05-11T14:52:23.743847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.013987 4
 
0.1%
126.9201 3
 
0.1%
126.858535 3
 
0.1%
126.9167 3
 
0.1%
126.9343 3
 
0.1%
126.924 3
 
0.1%
126.8476 3
 
0.1%
126.8302 3
 
0.1%
127.046596 3
 
0.1%
126.8817 3
 
0.1%
Other values (3987) 4104
99.3%
ValueCountFrequency (%)
126.798783 1
< 0.1%
126.801554 1
< 0.1%
126.80158 1
< 0.1%
126.8054 1
< 0.1%
126.8059 1
< 0.1%
126.806 1
< 0.1%
126.806052 1
< 0.1%
126.806973 1
< 0.1%
126.807083 1
< 0.1%
126.807733 1
< 0.1%
ValueCountFrequency (%)
127.180699 1
< 0.1%
127.1806 1
< 0.1%
127.18049 1
< 0.1%
127.18046 1
< 0.1%
127.18041 1
< 0.1%
127.1801 1
< 0.1%
127.179531 1
< 0.1%
127.178656 1
< 0.1%
127.1786 1
< 0.1%
127.178306 1
< 0.1%

위도
Real number (ℝ)

Distinct3962
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.556196
Minimum37.435028
Maximum37.68986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:23.991530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.435028
5-th percentile37.475753
Q137.510465
median37.552961
Q337.596516
95-th percentile37.654388
Maximum37.68986
Range0.254832
Interquartile range (IQR)0.0860515

Descriptive statistics

Standard deviation0.054668732
Coefficient of variation (CV)0.0014556515
Kurtosis-0.70923089
Mean37.556196
Median Absolute Deviation (MAD)0.042976
Skewness0.22791879
Sum155294.87
Variance0.0029886703
MonotonicityNot monotonic
2024-05-11T14:52:24.241868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.644 4
 
0.1%
37.5221 4
 
0.1%
37.5386 4
 
0.1%
37.5382 4
 
0.1%
37.5344 3
 
0.1%
37.5218 3
 
0.1%
37.5946 3
 
0.1%
37.5119 3
 
0.1%
37.5199 3
 
0.1%
37.5289 3
 
0.1%
Other values (3952) 4101
99.2%
ValueCountFrequency (%)
37.435028 1
< 0.1%
37.435042 1
< 0.1%
37.438696 1
< 0.1%
37.440076 1
< 0.1%
37.440256 1
< 0.1%
37.441274 1
< 0.1%
37.442917 1
< 0.1%
37.442963 1
< 0.1%
37.444447 1
< 0.1%
37.446542 1
< 0.1%
ValueCountFrequency (%)
37.68986 1
< 0.1%
37.688969 1
< 0.1%
37.688893 1
< 0.1%
37.687926 1
< 0.1%
37.687531 1
< 0.1%
37.686996 1
< 0.1%
37.686359 1
< 0.1%
37.685265 1
< 0.1%
37.684636 1
< 0.1%
37.684625 1
< 0.1%

X좌표
Real number (ℝ)

Distinct4097
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199068.25
Minimum182227.02
Maximum215965.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:24.465143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182227.02
5-th percentile186012.43
Q1192145.34
median200878.85
Q3205339.54
95-th percentile211971.65
Maximum215965.73
Range33738.711
Interquartile range (IQR)13194.195

Descriptive statistics

Standard deviation8100.2917
Coefficient of variation (CV)0.040691027
Kurtosis-1.029443
Mean199068.25
Median Absolute Deviation (MAD)6388.6791
Skewness-0.077428216
Sum8.2314723 × 108
Variance65614726
MonotonicityNot monotonic
2024-05-11T14:52:24.715920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201236.111767 3
 
0.1%
187489.589342 3
 
0.1%
201972.153838 2
 
< 0.1%
205531.78125 2
 
< 0.1%
212089.196035 2
 
< 0.1%
186808.683336 2
 
< 0.1%
204003.35714 2
 
< 0.1%
190204.195766 2
 
< 0.1%
187150.865745 2
 
< 0.1%
191681.757936 2
 
< 0.1%
Other values (4087) 4113
99.5%
ValueCountFrequency (%)
182227.017345 1
< 0.1%
182472.64609 1
< 0.1%
182472.757221 1
< 0.1%
182808.821066 1
< 0.1%
182852.51022 1
< 0.1%
182861.344587 1
< 0.1%
182866.793739 1
< 0.1%
182947.654833 1
< 0.1%
182956.407956 1
< 0.1%
183015.37275 1
< 0.1%
ValueCountFrequency (%)
215965.728 1
< 0.1%
215957.857478 1
< 0.1%
215948.474551 1
< 0.1%
215945.124803 1
< 0.1%
215940.305587 1
< 0.1%
215914.549143 1
< 0.1%
215862.47585 1
< 0.1%
215783.329423 1
< 0.1%
215780.567483 1
< 0.1%
215752.956144 1
< 0.1%

Y좌표
Real number (ℝ)

Distinct4097
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550745.2
Minimum537295.38
Maximum565577.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2024-05-11T14:52:24.978875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum537295.38
5-th percentile541816.99
Q1545670.79
median550384.12
Q3555217.26
95-th percentile561641.69
Maximum565577.2
Range28281.814
Interquartile range (IQR)9546.4726

Descriptive statistics

Standard deviation6066.3205
Coefficient of variation (CV)0.01101475
Kurtosis-0.70880743
Mean550745.2
Median Absolute Deviation (MAD)4770.8793
Skewness0.22759708
Sum2.2773314 × 109
Variance36800244
MonotonicityNot monotonic
2024-05-11T14:52:25.239774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
549178.118211 3
 
0.1%
543623.752266 3
 
0.1%
550834.234242 2
 
< 0.1%
554686.421998 2
 
< 0.1%
549509.595795 2
 
< 0.1%
551196.05423 2
 
< 0.1%
551330.604894 2
 
< 0.1%
543317.986423 2
 
< 0.1%
545073.419129 2
 
< 0.1%
544006.28563 2
 
< 0.1%
Other values (4087) 4113
99.5%
ValueCountFrequency (%)
537295.382144 1
< 0.1%
537298.802251 1
< 0.1%
537704.506648 1
< 0.1%
537857.766545 1
< 0.1%
537877.456541 1
< 0.1%
537990.399494 1
< 0.1%
538170.279495 1
< 0.1%
538175.356722 1
< 0.1%
538342.58153 1
< 0.1%
538575.333587 1
< 0.1%
ValueCountFrequency (%)
565577.196148 1
< 0.1%
565478.920602 1
< 0.1%
565469.972975 1
< 0.1%
565362.860997 1
< 0.1%
565319.336057 1
< 0.1%
565259.387101 1
< 0.1%
565189.245159 1
< 0.1%
565067.566042 1
< 0.1%
564997.610641 1
< 0.1%
564996.572606 1
< 0.1%

Sample

시설번호년도지역코드시설유형쉼터명칭도로명주소지번상세주소면적이용가능인원선풍기보유대수에어컨보유대수야간개방휴일개방숙박가능여부입력시간수정시간사용여부비고운영시작일운영종료일경도위도X좌표Y좌표
011200002202411200520001무학경로당서울특별시 성동구 왕십리로31길 29서울특별시 성동구 하왕십리동 990-7982442YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02735737.561712202417.062659551353.743135
111200003202411200520001한신무학(아) 경로당서울특별시 성동구 왕십리로31나길 22서울특별시 성동구 하왕십리동 990401022YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02854737.562203202522.185738551408.236317
211200004202411200520001풍림아파트 경로당서울특별시 성동구 난계로 84서울특별시 성동구 하왕십리동 10611333342YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02468637.5586202181.163532551008.238209
311200005202411200520001극동미라주아파트 경로당서울특별시 성동구 난계로 73서울특별시 성동구 하왕십리동 1058902232YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02328237.558465202057.114998550993.234254
411200006202411200520001극동미라주아파트 제2경로당서울특별시 성동구 난계로 67서울특별시 성동구 하왕십리동 105834821YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02328237.558465202057.114998550993.234254
511200007202411200520001안정경로당서울특별시 성동구 무학봉12길 3-11서울특별시 성동구 하왕십리동 980-5401021YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02958737.560401202614.134831551208.241809
611200008202411200520001왕십리제일경로당서울특별시 성동구 왕십리로31가길 12 (하왕십리동)서울특별시 성동구 하왕십리동 890-981042621YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02860437.563942202527.163066551601.235279
711200009202411200520001일심할머니경로당서울특별시 성동구 무학봉25길 9-9서울특별시 성동구 하왕십리동 971-7481132YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.03123937.562575202759.998047551449.599576
811200010202411200520001왕십리제2경로당서울특별시 성동구 무학봉길 40서울특별시 성동구 하왕십리동 1015-11451121YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02724437.560275202407.125046551194.239108
911200011202411200520001무학현대아파트 경로당서울특별시 성동구 무학봉길 49서울특별시 성동구 하왕십리동 992862121YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930127.02785637.56114202461.169443551290.237539
시설번호년도지역코드시설유형쉼터명칭도로명주소지번상세주소면적이용가능인원선풍기보유대수에어컨보유대수야간개방휴일개방숙박가능여부입력시간수정시간사용여부비고운영시작일운영종료일경도위도X좌표Y좌표
412511500006202411500510001염창현대1차(아)어르신사랑방서울특별시 강서구 양천로75길 57서울특별시 강서구 염창동 2881324011YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930126.87529837.552913188980.98015550384.093299
412611500007202411500510001염창동아1차(아)청솔어르신사랑방서울특별시 강서구 양천로69길 58서울특별시 강서구 염창동 292-11053211YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930126.87236937.55411188722.283343550517.360112
412711500008202411500510001신동아(아)어르신사랑방서울특별시 강서구 양천로67길 32서울특별시 강서구 염창동 2891063222YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930126.86909237.554984188432.857166550614.673151
412811500009202411500510001강변한솔솔파크(아)어르신사랑방서울특별시 강서구 양천로63길 38서울특별시 강서구 염창동 3001073221YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930126.86642937.556695188197.893351550804.904829
412911500010202411500510001염창삼성하나로(아)어르신사랑방서울특별시 강서구 양천로73길 5서울특별시 강서구 염창동 248-31083311YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930126.87189137.551597188679.70172550238.504411
413011500011202411500510001쌍용예가(아)어르신사랑방서울특별시 강서구 양천로 613서울특별시 강서구 염창동 3081083311YYN2023-10-16 17:24:292023-10-16 17:24:29Y<NA>2023052020230930126.86640937.555387188195.849188550659.746012
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