Overview

Dataset statistics

Number of variables32
Number of observations1304
Missing cells7701
Missing cells (%)18.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory352.9 KiB
Average record size in memory277.1 B

Variable types

Numeric17
Categorical3
Text2
Boolean9
Unsupported1

Dataset

Description공간정보관리번호,X좌표최소값,Y좌표최소값,X좌표최대값,Y좌표최대값,시설코드,년도,시설유형,쉼터명칭,상세주소,면적,이용가능인원,난방기보유(열풍기),난방기보유(히터),난방기보유(난로),난방기보유(라디에이터),점검사항(냉방기기구비),점검사항(휴식공간),점검사항(야간개방),점검사항(적정온도),점검사항(전기료지원),점검사항(간판부착),점검사항(홍보물비치),점검사항(숙박가능),점검사항(휴일개방),사용여부,한파쉼터운영시작일,한파쉼터운영종료일,한파쉼터평일시작시간,한파쉼터평일종료시간,한파쉼터주말시작시간,한파쉼터주말종료시간
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21066/S/1/datasetView.do

Alerts

년도 is highly imbalanced (99.1%)Imbalance
점검사항(적정온도) is highly imbalanced (50.1%)Imbalance
점검사항(간판부착) is highly imbalanced (51.0%)Imbalance
점검사항(숙박가능) is highly imbalanced (94.0%)Imbalance
점검사항(휴일개방) is highly imbalanced (65.2%)Imbalance
사용여부 is highly imbalanced (99.1%)Imbalance
한파쉼터운영종료일 is highly imbalanced (91.5%)Imbalance
면적 has 20 (1.5%) missing valuesMissing
난방기보유(열풍기) has 937 (71.9%) missing valuesMissing
난방기보유(히터) has 541 (41.5%) missing valuesMissing
난방기보유(난로) has 1221 (93.6%) missing valuesMissing
난방기보유(라디에이터) has 1217 (93.3%) missing valuesMissing
점검사항(야간개방) has 1304 (100.0%) missing valuesMissing
한파쉼터주말시작시간 has 1219 (93.5%) missing valuesMissing
한파쉼터주말종료시간 has 1219 (93.5%) missing valuesMissing
면적 is highly skewed (γ1 = 35.03750139)Skewed
공간정보관리번호 has unique valuesUnique
점검사항(야간개방) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:17:00.289114
Analysis finished2024-05-11 00:17:01.961939
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보관리번호
Real number (ℝ)

UNIQUE 

Distinct1304
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41575.5
Minimum40924
Maximum42227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:02.346007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40924
5-th percentile40989.15
Q141249.75
median41575.5
Q341901.25
95-th percentile42161.85
Maximum42227
Range1303
Interquartile range (IQR)651.5

Descriptive statistics

Standard deviation376.57669
Coefficient of variation (CV)0.0090576586
Kurtosis-1.2
Mean41575.5
Median Absolute Deviation (MAD)326
Skewness0
Sum54214452
Variance141810
MonotonicityNot monotonic
2024-05-11T00:17:02.974563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41179 1
 
0.1%
41849 1
 
0.1%
41867 1
 
0.1%
41866 1
 
0.1%
41865 1
 
0.1%
41864 1
 
0.1%
41863 1
 
0.1%
41862 1
 
0.1%
41861 1
 
0.1%
41860 1
 
0.1%
Other values (1294) 1294
99.2%
ValueCountFrequency (%)
40924 1
0.1%
40925 1
0.1%
40926 1
0.1%
40927 1
0.1%
40928 1
0.1%
40929 1
0.1%
40930 1
0.1%
40931 1
0.1%
40932 1
0.1%
40933 1
0.1%
ValueCountFrequency (%)
42227 1
0.1%
42226 1
0.1%
42225 1
0.1%
42224 1
0.1%
42223 1
0.1%
42222 1
0.1%
42221 1
0.1%
42220 1
0.1%
42219 1
0.1%
42218 1
0.1%

X좌표최소값
Real number (ℝ)

Distinct1297
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19994488
Minimum18222680
Maximum21554067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:03.531442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18222680
5-th percentile18612398
Q119361864
median20150212
Q320603728
95-th percentile21177163
Maximum21554067
Range3331387
Interquartile range (IQR)1241864.2

Descriptive statistics

Standard deviation772030.96
Coefficient of variation (CV)0.038612189
Kurtosis-0.80776747
Mean19994488
Median Absolute Deviation (MAD)578372
Skewness-0.28088663
Sum2.6072813 × 1010
Variance5.960318 × 1011
MonotonicityNot monotonic
2024-05-11T00:17:04.081293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19510920 2
 
0.2%
21271468 2
 
0.2%
18508920 2
 
0.2%
20669445 2
 
0.2%
20367366 2
 
0.2%
20401171 2
 
0.2%
20318075 2
 
0.2%
20717128 1
 
0.1%
19541791 1
 
0.1%
19648398 1
 
0.1%
Other values (1287) 1287
98.7%
ValueCountFrequency (%)
18222680 1
0.1%
18247265 1
0.1%
18247520 1
0.1%
18280171 1
0.1%
18295480 1
0.1%
18301640 1
0.1%
18302511 1
0.1%
18313360 1
0.1%
18329299 1
0.1%
18334280 1
0.1%
ValueCountFrequency (%)
21554067 1
0.1%
21536596 1
0.1%
21516267 1
0.1%
21512411 1
0.1%
21498636 1
0.1%
21490913 1
0.1%
21487305 1
0.1%
21452252 1
0.1%
21437379 1
0.1%
21399539 1
0.1%

Y좌표최소값
Real number (ℝ)

Distinct1296
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55062909
Minimum53729880
Maximum56577197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:04.516857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53729880
5-th percentile54120496
Q154479719
median55024878
Q355589418
95-th percentile56198269
Maximum56577197
Range2847317
Interquartile range (IQR)1109699.2

Descriptive statistics

Standard deviation657765.2
Coefficient of variation (CV)0.011945704
Kurtosis-0.94477678
Mean55062909
Median Absolute Deviation (MAD)553177
Skewness0.23600017
Sum7.1802033 × 1010
Variance4.3265505 × 1011
MonotonicityNot monotonic
2024-05-11T00:17:05.081525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54259595 2
 
0.2%
54810955 2
 
0.2%
54814280 2
 
0.2%
54370771 2
 
0.2%
55881954 2
 
0.2%
55853412 2
 
0.2%
55927228 2
 
0.2%
54331667 2
 
0.2%
54308587 1
 
0.1%
54313880 1
 
0.1%
Other values (1286) 1286
98.6%
ValueCountFrequency (%)
53729880 1
0.1%
53818380 1
0.1%
53865854 1
0.1%
53887571 1
0.1%
53898733 1
0.1%
53900320 1
0.1%
53904880 1
0.1%
53912520 1
0.1%
53927877 1
0.1%
53930814 1
0.1%
ValueCountFrequency (%)
56577197 1
0.1%
56545885 1
0.1%
56502491 1
0.1%
56499868 1
0.1%
56481386 1
0.1%
56478045 1
0.1%
56464296 1
0.1%
56451159 1
0.1%
56447560 1
0.1%
56413528 1
0.1%

X좌표최대값
Real number (ℝ)

Distinct1297
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19994488
Minimum18222680
Maximum21554067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:05.692165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18222680
5-th percentile18612398
Q119361864
median20150212
Q320603728
95-th percentile21177163
Maximum21554067
Range3331387
Interquartile range (IQR)1241864.2

Descriptive statistics

Standard deviation772030.96
Coefficient of variation (CV)0.038612189
Kurtosis-0.80776747
Mean19994488
Median Absolute Deviation (MAD)578372
Skewness-0.28088663
Sum2.6072813 × 1010
Variance5.960318 × 1011
MonotonicityNot monotonic
2024-05-11T00:17:06.217158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19510920 2
 
0.2%
21271468 2
 
0.2%
18508920 2
 
0.2%
20669445 2
 
0.2%
20367366 2
 
0.2%
20401171 2
 
0.2%
20318075 2
 
0.2%
20717128 1
 
0.1%
19541791 1
 
0.1%
19648398 1
 
0.1%
Other values (1287) 1287
98.7%
ValueCountFrequency (%)
18222680 1
0.1%
18247265 1
0.1%
18247520 1
0.1%
18280171 1
0.1%
18295480 1
0.1%
18301640 1
0.1%
18302511 1
0.1%
18313360 1
0.1%
18329299 1
0.1%
18334280 1
0.1%
ValueCountFrequency (%)
21554067 1
0.1%
21536596 1
0.1%
21516267 1
0.1%
21512411 1
0.1%
21498636 1
0.1%
21490913 1
0.1%
21487305 1
0.1%
21452252 1
0.1%
21437379 1
0.1%
21399539 1
0.1%

Y좌표최대값
Real number (ℝ)

Distinct1296
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55062909
Minimum53729880
Maximum56577197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:07.012934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53729880
5-th percentile54120496
Q154479719
median55024878
Q355589418
95-th percentile56198269
Maximum56577197
Range2847317
Interquartile range (IQR)1109699.2

Descriptive statistics

Standard deviation657765.2
Coefficient of variation (CV)0.011945704
Kurtosis-0.94477678
Mean55062909
Median Absolute Deviation (MAD)553177
Skewness0.23600017
Sum7.1802033 × 1010
Variance4.3265505 × 1011
MonotonicityNot monotonic
2024-05-11T00:17:07.689520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54259595 2
 
0.2%
54810955 2
 
0.2%
54814280 2
 
0.2%
54370771 2
 
0.2%
55881954 2
 
0.2%
55853412 2
 
0.2%
55927228 2
 
0.2%
54331667 2
 
0.2%
54308587 1
 
0.1%
54313880 1
 
0.1%
Other values (1286) 1286
98.6%
ValueCountFrequency (%)
53729880 1
0.1%
53818380 1
0.1%
53865854 1
0.1%
53887571 1
0.1%
53898733 1
0.1%
53900320 1
0.1%
53904880 1
0.1%
53912520 1
0.1%
53927877 1
0.1%
53930814 1
0.1%
ValueCountFrequency (%)
56577197 1
0.1%
56545885 1
0.1%
56502491 1
0.1%
56499868 1
0.1%
56481386 1
0.1%
56478045 1
0.1%
56464296 1
0.1%
56451159 1
0.1%
56447560 1
0.1%
56413528 1
0.1%

시설코드
Real number (ℝ)

Distinct1303
Distinct (%)100.0%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.4600502 × 108
Minimum11110001
Maximum1.1740003 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:08.269553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110001
5-th percentile11140041
Q111305086
median11530131
Q311710151
95-th percentile1.1590002 × 109
Maximum1.1740003 × 109
Range1.1628903 × 109
Interquartile range (IQR)405064.5

Descriptive statistics

Standard deviation4.5905524 × 108
Coefficient of variation (CV)1.8660402
Kurtosis0.097018324
Mean2.4600502 × 108
Median Absolute Deviation (MAD)210069
Skewness1.447461
Sum3.2054454 × 1011
Variance2.1073172 × 1017
MonotonicityNot monotonic
2024-05-11T00:17:08.791004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11260034 1
 
0.1%
1159000176 1
 
0.1%
11620135 1
 
0.1%
11620016 1
 
0.1%
11620018 1
 
0.1%
11620017 1
 
0.1%
11620014 1
 
0.1%
11620132 1
 
0.1%
11620011 1
 
0.1%
11620019 1
 
0.1%
Other values (1293) 1293
99.2%
ValueCountFrequency (%)
11110001 1
0.1%
11110003 1
0.1%
11110005 1
0.1%
11110006 1
0.1%
11110007 1
0.1%
11110009 1
0.1%
11110010 1
0.1%
11110012 1
0.1%
11110013 1
0.1%
11110014 1
0.1%
ValueCountFrequency (%)
1174000276 1
0.1%
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%

년도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2024
1303 
<NA>
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2024 1303
99.9%
<NA> 1
 
0.1%

Length

2024-05-11T00:17:09.245675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:09.545422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024 1303
99.9%
na 1
 
0.1%

시설유형
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
1
857 
5
346 
2
 
51
9
 
49
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0023006
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row5
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 857
65.7%
5 346
26.5%
2 51
 
3.9%
9 49
 
3.8%
<NA> 1
 
0.1%

Length

2024-05-11T00:17:09.953596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:10.402174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 857
65.7%
5 346
26.5%
2 51
 
3.9%
9 49
 
3.8%
na 1
 
0.1%

쉼터명칭
Text

Distinct1275
Distinct (%)97.9%
Missing1
Missing (%)0.1%
Memory size10.3 KiB
2024-05-11T00:17:11.142352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.8879509
Min length3

Characters and Unicode

Total characters10278
Distinct characters378
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

Unique1255 ?
Unique (%)96.3%

Sample

1st row중화1동통합경로당
2nd row중화2동주민센터
3rd row묵1동주민센터
4th row상봉2동구립경로당
5th row봉화경로당
ValueCountFrequency (%)
경로당 139
 
8.5%
주민센터 114
 
7.0%
어르신사랑방 22
 
1.4%
장수경로당 7
 
0.4%
어울누리 5
 
0.3%
한파쉼터 4
 
0.2%
어르신복지관 3
 
0.2%
응급구호시설(노숙인 3
 
0.2%
송암경로당 3
 
0.2%
용마경로당 3
 
0.2%
Other values (1281) 1324
81.4%
2024-05-11T00:17:12.739551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 807
 
7.9%
로 796
 
7.7%
경 787
 
7.7%
동 512
 
5.0%
터 386
 
3.8%
센 371
 
3.6%
주 355
 
3.5%
민 346
 
3.4%
324
 
3.2%
신 170
 
1.7%
Other values (368) 5424
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9126
88.8%
Decimal Number 497
 
4.8%
Space Separator 324
 
3.2%
Close Punctuation 155
 
1.5%
Open Punctuation 155
 
1.5%
Other Punctuation 10
 
0.1%
Uppercase Letter 7
 
0.1%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 807
 
8.8%
로 796
 
8.7%
경 787
 
8.6%
동 512
 
5.6%
터 386
 
4.2%
센 371
 
4.1%
주 355
 
3.9%
민 346
 
3.8%
신 170
 
1.9%
아 163
 
1.8%
Other values (347) 4433
48.6%
Decimal Number
ValueCountFrequency (%)
1 162
32.6%
2 153
30.8%
3 65
13.1%
4 44
 
8.9%
5 25
 
5.0%
7 13
 
2.6%
6 13
 
2.6%
0 11
 
2.2%
9 8
 
1.6%
8 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
H 2
28.6%
S 2
28.6%
A 2
28.6%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 6
60.0%
. 4
40.0%
Space Separator
ValueCountFrequency (%)
324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9126
88.8%
Common 1143
 
11.1%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 807
 
8.8%
로 796
 
8.7%
경 787
 
8.6%
동 512
 
5.6%
터 386
 
4.2%
센 371
 
4.1%
주 355
 
3.9%
민 346
 
3.8%
신 170
 
1.9%
아 163
 
1.8%
Other values (347) 4433
48.6%
Common
ValueCountFrequency (%)
324
28.3%
1 162
14.2%
) 155
13.6%
( 155
13.6%
2 153
13.4%
3 65
 
5.7%
4 44
 
3.8%
5 25
 
2.2%
7 13
 
1.1%
6 13
 
1.1%
Other values (6) 34
 
3.0%
Latin
ValueCountFrequency (%)
H 2
22.2%
S 2
22.2%
e 2
22.2%
A 2
22.2%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9126
88.8%
ASCII 1152
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 807
 
8.8%
로 796
 
8.7%
경 787
 
8.6%
동 512
 
5.6%
터 386
 
4.2%
센 371
 
4.1%
주 355
 
3.9%
민 346
 
3.8%
신 170
 
1.9%
아 163
 
1.8%
Other values (347) 4433
48.6%
ASCII
ValueCountFrequency (%)
324
28.1%
1 162
14.1%
) 155
13.5%
( 155
13.5%
2 153
13.3%
3 65
 
5.6%
4 44
 
3.8%
5 25
 
2.2%
7 13
 
1.1%
6 13
 
1.1%
Other values (11) 43
 
3.7%

상세주소
Text

Distinct1251
Distinct (%)96.5%
Missing8
Missing (%)0.6%
Memory size10.3 KiB
2024-05-11T00:17:14.001559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length20.973765
Min length15

Characters and Unicode

Total characters27182
Distinct characters280
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1212 ?
Unique (%)93.5%

Sample

1st row서울특별시 중랑구 동일로138길 28
2nd row서울특별시 중랑구 동일로129길 1
3rd row서울특별시 중랑구 공릉로2가길 5
4th row서울특별시 중랑구 동일로112길 27
5th row서울특별시 중랑구 봉화산로3길 40-5
ValueCountFrequency (%)
서울특별시 1296
 
23.7%
관악구 130
 
2.4%
강북구 113
 
2.1%
노원구 92
 
1.7%
양천구 77
 
1.4%
송파구 75
 
1.4%
광진구 69
 
1.3%
중구 68
 
1.2%
강동구 65
 
1.2%
강서구 65
 
1.2%
Other values (1688) 3413
62.5%
2024-05-11T00:17:15.720064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4819
17.7%
서 1500
 
5.5%
구 1337
 
4.9%
시 1327
 
4.9%
울 1297
 
4.8%
특 1296
 
4.8%
별 1296
 
4.8%
로 1280
 
4.7%
길 970
 
3.6%
1 968
 
3.6%
Other values (270) 11092
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16751
61.6%
Decimal Number 4906
 
18.0%
Space Separator 4819
 
17.7%
Dash Punctuation 297
 
1.1%
Close Punctuation 192
 
0.7%
Open Punctuation 192
 
0.7%
Other Punctuation 24
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1500
 
9.0%
구 1337
 
8.0%
시 1327
 
7.9%
울 1297
 
7.7%
특 1296
 
7.7%
별 1296
 
7.7%
로 1280
 
7.6%
길 970
 
5.8%
동 504
 
3.0%
강 312
 
1.9%
Other values (254) 5632
33.6%
Decimal Number
ValueCountFrequency (%)
1 968
19.7%
2 725
14.8%
3 628
12.8%
4 464
9.5%
5 443
9.0%
6 393
8.0%
7 378
 
7.7%
9 308
 
6.3%
8 302
 
6.2%
0 297
 
6.1%
Space Separator
ValueCountFrequency (%)
4819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16751
61.6%
Common 10430
38.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1500
 
9.0%
구 1337
 
8.0%
시 1327
 
7.9%
울 1297
 
7.7%
특 1296
 
7.7%
별 1296
 
7.7%
로 1280
 
7.6%
길 970
 
5.8%
동 504
 
3.0%
강 312
 
1.9%
Other values (254) 5632
33.6%
Common
ValueCountFrequency (%)
4819
46.2%
1 968
 
9.3%
2 725
 
7.0%
3 628
 
6.0%
4 464
 
4.4%
5 443
 
4.2%
6 393
 
3.8%
7 378
 
3.6%
9 308
 
3.0%
8 302
 
2.9%
Other values (5) 1002
 
9.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16751
61.6%
ASCII 10431
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4819
46.2%
1 968
 
9.3%
2 725
 
7.0%
3 628
 
6.0%
4 464
 
4.4%
5 443
 
4.2%
6 393
 
3.8%
7 378
 
3.6%
9 308
 
3.0%
8 302
 
2.9%
Other values (6) 1003
 
9.6%
Hangul
ValueCountFrequency (%)
서 1500
 
9.0%
구 1337
 
8.0%
시 1327
 
7.9%
울 1297
 
7.7%
특 1296
 
7.7%
별 1296
 
7.7%
로 1280
 
7.6%
길 970
 
5.8%
동 504
 
3.0%
강 312
 
1.9%
Other values (254) 5632
33.6%

면적
Real number (ℝ)

MISSING  SKEWED 

Distinct726
Distinct (%)56.5%
Missing20
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean515.85467
Minimum4.16
Maximum260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:16.305711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.16
5-th percentile42
Q192
median144.14
Q3250.325
95-th percentile998.3415
Maximum260000
Range259995.84
Interquartile range (IQR)158.325

Descriptive statistics

Standard deviation7304.1765
Coefficient of variation (CV)14.159369
Kurtosis1244.3945
Mean515.85467
Median Absolute Deviation (MAD)64.14
Skewness35.037501
Sum662357.39
Variance53350994
MonotonicityNot monotonic
2024-05-11T00:17:16.956386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 21
 
1.6%
136.43 17
 
1.3%
50.0 16
 
1.2%
90.0 14
 
1.1%
198.0 14
 
1.1%
200.0 13
 
1.0%
400.0 13
 
1.0%
66.0 12
 
0.9%
120.0 10
 
0.8%
60.0 10
 
0.8%
Other values (716) 1144
87.7%
(Missing) 20
 
1.5%
ValueCountFrequency (%)
4.16 1
0.1%
13.41 1
0.1%
16.5 1
0.1%
19.0 1
0.1%
21.0 1
0.1%
23.0 1
0.1%
23.04 1
0.1%
24.6 2
0.2%
24.9 1
0.1%
25.0 1
0.1%
ValueCountFrequency (%)
260000.0 1
0.1%
26318.0 1
0.1%
10672.0 1
0.1%
5666.0 1
0.1%
4901.6 1
0.1%
3582.0 2
0.2%
3580.0 1
0.1%
3515.1 1
0.1%
3402.6 1
0.1%
3217.0 1
0.1%

이용가능인원
Real number (ℝ)

Distinct113
Distinct (%)8.7%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean46.09363
Minimum5
Maximum878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:17.521380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12
Q121
median33
Q350
95-th percentile100
Maximum878
Range873
Interquartile range (IQR)29

Descriptive statistics

Standard deviation61.273747
Coefficient of variation (CV)1.3293322
Kurtosis89.137068
Mean46.09363
Median Absolute Deviation (MAD)13
Skewness8.3170041
Sum60060
Variance3754.472
MonotonicityNot monotonic
2024-05-11T00:17:18.176850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 176
 
13.5%
20 157
 
12.0%
50 132
 
10.1%
40 88
 
6.7%
10 47
 
3.6%
60 43
 
3.3%
100 32
 
2.5%
15 32
 
2.5%
25 31
 
2.4%
36 23
 
1.8%
Other values (103) 542
41.6%
ValueCountFrequency (%)
5 2
 
0.2%
7 4
 
0.3%
8 6
 
0.5%
9 2
 
0.2%
10 47
3.6%
11 3
 
0.2%
12 9
 
0.7%
13 6
 
0.5%
14 5
 
0.4%
15 32
2.5%
ValueCountFrequency (%)
878 1
 
0.1%
800 2
0.2%
700 1
 
0.1%
657 1
 
0.1%
650 1
 
0.1%
500 1
 
0.1%
402 1
 
0.1%
358 1
 
0.1%
348 1
 
0.1%
300 4
0.3%

난방기보유(열풍기)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)3.3%
Missing937
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean2.239782
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:18.689642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum15
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0770008
Coefficient of variation (CV)0.92732273
Kurtosis8.0129537
Mean2.239782
Median Absolute Deviation (MAD)0
Skewness2.5304788
Sum822
Variance4.3139322
MonotonicityNot monotonic
2024-05-11T00:17:19.347627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 205
 
15.7%
2 59
 
4.5%
3 36
 
2.8%
4 27
 
2.1%
6 12
 
0.9%
5 11
 
0.8%
7 6
 
0.5%
10 5
 
0.4%
8 2
 
0.2%
12 2
 
0.2%
Other values (2) 2
 
0.2%
(Missing) 937
71.9%
ValueCountFrequency (%)
1 205
15.7%
2 59
 
4.5%
3 36
 
2.8%
4 27
 
2.1%
5 11
 
0.8%
6 12
 
0.9%
7 6
 
0.5%
8 2
 
0.2%
9 1
 
0.1%
10 5
 
0.4%
ValueCountFrequency (%)
15 1
 
0.1%
12 2
 
0.2%
10 5
 
0.4%
9 1
 
0.1%
8 2
 
0.2%
7 6
 
0.5%
6 12
 
0.9%
5 11
 
0.8%
4 27
2.1%
3 36
2.8%

난방기보유(히터)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)1.3%
Missing541
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean1.7627785
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:19.733699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4225697
Coefficient of variation (CV)0.80700423
Kurtosis8.6612536
Mean1.7627785
Median Absolute Deviation (MAD)0
Skewness2.6667149
Sum1345
Variance2.0237046
MonotonicityNot monotonic
2024-05-11T00:17:20.179571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 497
38.1%
2 123
 
9.4%
3 68
 
5.2%
4 34
 
2.6%
6 15
 
1.2%
5 13
 
1.0%
7 6
 
0.5%
10 4
 
0.3%
8 2
 
0.2%
9 1
 
0.1%
(Missing) 541
41.5%
ValueCountFrequency (%)
1 497
38.1%
2 123
 
9.4%
3 68
 
5.2%
4 34
 
2.6%
5 13
 
1.0%
6 15
 
1.2%
7 6
 
0.5%
8 2
 
0.2%
9 1
 
0.1%
10 4
 
0.3%
ValueCountFrequency (%)
10 4
 
0.3%
9 1
 
0.1%
8 2
 
0.2%
7 6
 
0.5%
6 15
 
1.2%
5 13
 
1.0%
4 34
 
2.6%
3 68
 
5.2%
2 123
 
9.4%
1 497
38.1%

난방기보유(난로)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)8.4%
Missing1221
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean1.5180723
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:20.599434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.9
Maximum14
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6918848
Coefficient of variation (CV)1.1144956
Kurtosis36.973748
Mean1.5180723
Median Absolute Deviation (MAD)0
Skewness5.5183121
Sum126
Variance2.8624743
MonotonicityNot monotonic
2024-05-11T00:17:21.061298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 68
 
5.2%
2 6
 
0.5%
3 4
 
0.3%
5 2
 
0.2%
6 1
 
0.1%
4 1
 
0.1%
14 1
 
0.1%
(Missing) 1221
93.6%
ValueCountFrequency (%)
1 68
5.2%
2 6
 
0.5%
3 4
 
0.3%
4 1
 
0.1%
5 2
 
0.2%
6 1
 
0.1%
14 1
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
6 1
 
0.1%
5 2
 
0.2%
4 1
 
0.1%
3 4
 
0.3%
2 6
 
0.5%
1 68
5.2%

난방기보유(라디에이터)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)6.9%
Missing1217
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean1.3333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:21.422002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.7
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2357717
Coefficient of variation (CV)0.9268288
Kurtosis20.871126
Mean1.3333333
Median Absolute Deviation (MAD)0
Skewness4.5182434
Sum116
Variance1.5271318
MonotonicityNot monotonic
2024-05-11T00:17:21.836958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 77
 
5.9%
2 5
 
0.4%
8 2
 
0.2%
6 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
(Missing) 1217
93.3%
ValueCountFrequency (%)
1 77
5.9%
2 5
 
0.4%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
8 2
 
0.2%
ValueCountFrequency (%)
8 2
 
0.2%
6 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
2 5
 
0.4%
1 77
5.9%

점검사항(냉방기기구비)
Boolean

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
True
1012 
False
291 
(Missing)
 
1
ValueCountFrequency (%)
True 1012
77.6%
False 291
 
22.3%
(Missing) 1
 
0.1%
2024-05-11T00:17:22.184725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(휴식공간)
Boolean

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
True
1076 
False
227 
(Missing)
 
1
ValueCountFrequency (%)
True 1076
82.5%
False 227
 
17.4%
(Missing) 1
 
0.1%
2024-05-11T00:17:22.500621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(야간개방)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1304
Missing (%)100.0%
Memory size11.6 KiB

점검사항(적정온도)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
True
1160 
False
143 
(Missing)
 
1
ValueCountFrequency (%)
True 1160
89.0%
False 143
 
11.0%
(Missing) 1
 
0.1%
2024-05-11T00:17:22.813266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(전기료지원)
Boolean

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
False
807 
True
496 
(Missing)
 
1
ValueCountFrequency (%)
False 807
61.9%
True 496
38.0%
(Missing) 1
 
0.1%
2024-05-11T00:17:23.110221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(간판부착)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
True
1164 
False
139 
(Missing)
 
1
ValueCountFrequency (%)
True 1164
89.3%
False 139
 
10.7%
(Missing) 1
 
0.1%
2024-05-11T00:17:23.403208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(홍보물비치)
Boolean

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
True
847 
False
456 
(Missing)
 
1
ValueCountFrequency (%)
True 847
65.0%
False 456
35.0%
(Missing) 1
 
0.1%
2024-05-11T00:17:23.693788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(숙박가능)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
False
1294 
True
 
9
(Missing)
 
1
ValueCountFrequency (%)
False 1294
99.2%
True 9
 
0.7%
(Missing) 1
 
0.1%
2024-05-11T00:17:23.970054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점검사항(휴일개방)
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
False
1218 
True
 
85
(Missing)
 
1
ValueCountFrequency (%)
False 1218
93.4%
True 85
 
6.5%
(Missing) 1
 
0.1%
2024-05-11T00:17:24.330604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing1
Missing (%)0.1%
Memory size2.7 KiB
True
1302 
False
 
1
(Missing)
 
1
ValueCountFrequency (%)
True 1302
99.8%
False 1
 
0.1%
(Missing) 1
 
0.1%
2024-05-11T00:17:24.597286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

한파쉼터운영시작일
Real number (ℝ)

Distinct22
Distinct (%)1.7%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean20230153
Minimum20190520
Maximum20240116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:24.955034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190520
5-th percentile20221115
Q120231115
median20231115
Q320231115
95-th percentile20231115
Maximum20240116
Range49596
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4713.1471
Coefficient of variation (CV)0.00023297635
Kurtosis40.162094
Mean20230153
Median Absolute Deviation (MAD)0
Skewness-5.7637765
Sum2.635989 × 1010
Variance22213756
MonotonicityNot monotonic
2024-05-11T00:17:25.447332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20231115 1192
91.4%
20221115 32
 
2.5%
20211122 18
 
1.4%
20221201 16
 
1.2%
20231201 11
 
0.8%
20190520 10
 
0.8%
20221004 5
 
0.4%
20240115 5
 
0.4%
20231221 1
 
0.1%
20231214 1
 
0.1%
Other values (12) 12
 
0.9%
ValueCountFrequency (%)
20190520 10
 
0.8%
20211115 1
 
0.1%
20211122 18
 
1.4%
20220104 1
 
0.1%
20221004 5
 
0.4%
20221115 32
 
2.5%
20221201 16
 
1.2%
20230314 1
 
0.1%
20231105 1
 
0.1%
20231115 1192
91.4%
ValueCountFrequency (%)
20240116 1
 
0.1%
20240115 5
0.4%
20240104 1
 
0.1%
20240103 1
 
0.1%
20231229 1
 
0.1%
20231227 1
 
0.1%
20231222 1
 
0.1%
20231221 1
 
0.1%
20231214 1
 
0.1%
20231201 11
0.8%

한파쉼터운영종료일
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
20240315
1274 
20230315
 
27
20250315
 
2
<NA>
 
1

Length

Max length8
Median length8
Mean length7.9969325
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row20240315
2nd row20240315
3rd row20240315
4th row20240315
5th row20240315

Common Values

ValueCountFrequency (%)
20240315 1274
97.7%
20230315 27
 
2.1%
20250315 2
 
0.2%
<NA> 1
 
0.1%

Length

2024-05-11T00:17:25.944979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:17:26.301163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20240315 1274
97.7%
20230315 27
 
2.1%
20250315 2
 
0.2%
na 1
 
0.1%

한파쉼터평일시작시간
Real number (ℝ)

Distinct9
Distinct (%)0.7%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean919.80046
Minimum0
Maximum1800
Zeros6
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:26.861468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile900
Q1900
median900
Q3900
95-th percentile1000
Maximum1800
Range1800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110.05217
Coefficient of variation (CV)0.11964788
Kurtosis35.589393
Mean919.80046
Median Absolute Deviation (MAD)0
Skewness0.087245351
Sum1198500
Variance12111.481
MonotonicityNot monotonic
2024-05-11T00:17:27.254094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
900 1135
87.0%
1000 111
 
8.5%
1300 42
 
3.2%
0 6
 
0.5%
600 3
 
0.2%
1800 3
 
0.2%
1600 1
 
0.1%
1100 1
 
0.1%
1500 1
 
0.1%
(Missing) 1
 
0.1%
ValueCountFrequency (%)
0 6
 
0.5%
600 3
 
0.2%
900 1135
87.0%
1000 111
 
8.5%
1100 1
 
0.1%
1300 42
 
3.2%
1500 1
 
0.1%
1600 1
 
0.1%
1800 3
 
0.2%
ValueCountFrequency (%)
1800 3
 
0.2%
1600 1
 
0.1%
1500 1
 
0.1%
1300 42
 
3.2%
1100 1
 
0.1%
1000 111
 
8.5%
900 1135
87.0%
600 3
 
0.2%
0 6
 
0.5%

한파쉼터평일종료시간
Real number (ℝ)

Distinct10
Distinct (%)0.8%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1815.3031
Minimum1100
Maximum2359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:27.749922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1700
Q11800
median1800
Q31800
95-th percentile2100
Maximum2359
Range1259
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.10095
Coefficient of variation (CV)0.05789719
Kurtosis10.150817
Mean1815.3031
Median Absolute Deviation (MAD)0
Skewness2.4639222
Sum2365340
Variance11046.21
MonotonicityNot monotonic
2024-05-11T00:17:28.177548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1800 1065
81.7%
1700 133
 
10.2%
2100 68
 
5.2%
2200 20
 
1.5%
2359 10
 
0.8%
2000 2
 
0.2%
1500 2
 
0.2%
1600 1
 
0.1%
1100 1
 
0.1%
2150 1
 
0.1%
(Missing) 1
 
0.1%
ValueCountFrequency (%)
1100 1
 
0.1%
1500 2
 
0.2%
1600 1
 
0.1%
1700 133
 
10.2%
1800 1065
81.7%
2000 2
 
0.2%
2100 68
 
5.2%
2150 1
 
0.1%
2200 20
 
1.5%
2359 10
 
0.8%
ValueCountFrequency (%)
2359 10
 
0.8%
2200 20
 
1.5%
2150 1
 
0.1%
2100 68
 
5.2%
2000 2
 
0.2%
1800 1065
81.7%
1700 133
 
10.2%
1600 1
 
0.1%
1500 2
 
0.2%
1100 1
 
0.1%

한파쉼터주말시작시간
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)10.6%
Missing1219
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean917.64706
Minimum0
Maximum1800
Zeros6
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:28.687122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1900
median900
Q31000
95-th percentile1460
Maximum1800
Range1800
Interquartile range (IQR)100

Descriptive statistics

Standard deviation332.0845
Coefficient of variation (CV)0.36188695
Kurtosis3.7158785
Mean917.64706
Median Absolute Deviation (MAD)0
Skewness-0.65378168
Sum78000
Variance110280.11
MonotonicityNot monotonic
2024-05-11T00:17:29.166478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
900 52
 
4.0%
1100 13
 
1.0%
0 6
 
0.5%
1000 4
 
0.3%
600 3
 
0.2%
1800 3
 
0.2%
1300 2
 
0.2%
1600 1
 
0.1%
1500 1
 
0.1%
(Missing) 1219
93.5%
ValueCountFrequency (%)
0 6
 
0.5%
600 3
 
0.2%
900 52
4.0%
1000 4
 
0.3%
1100 13
 
1.0%
1300 2
 
0.2%
1500 1
 
0.1%
1600 1
 
0.1%
1800 3
 
0.2%
ValueCountFrequency (%)
1800 3
 
0.2%
1600 1
 
0.1%
1500 1
 
0.1%
1300 2
 
0.2%
1100 13
 
1.0%
1000 4
 
0.3%
900 52
4.0%
600 3
 
0.2%
0 6
 
0.5%

한파쉼터주말종료시간
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)10.6%
Missing1219
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean1846.3529
Minimum1100
Maximum2359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2024-05-11T00:17:29.650320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1400
Q11700
median1800
Q31800
95-th percentile2359
Maximum2359
Range1259
Interquartile range (IQR)100

Descriptive statistics

Standard deviation256.68861
Coefficient of variation (CV)0.13902467
Kurtosis0.70441301
Mean1846.3529
Median Absolute Deviation (MAD)100
Skewness0.47091516
Sum156940
Variance65889.041
MonotonicityNot monotonic
2024-05-11T00:17:30.209421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1800 42
 
3.2%
1700 16
 
1.2%
2359 10
 
0.8%
1400 5
 
0.4%
2200 4
 
0.3%
2100 4
 
0.3%
1600 2
 
0.2%
1100 1
 
0.1%
2050 1
 
0.1%
(Missing) 1219
93.5%
ValueCountFrequency (%)
1100 1
 
0.1%
1400 5
 
0.4%
1600 2
 
0.2%
1700 16
 
1.2%
1800 42
3.2%
2050 1
 
0.1%
2100 4
 
0.3%
2200 4
 
0.3%
2359 10
 
0.8%
ValueCountFrequency (%)
2359 10
 
0.8%
2200 4
 
0.3%
2100 4
 
0.3%
2050 1
 
0.1%
1800 42
3.2%
1700 16
 
1.2%
1600 2
 
0.2%
1400 5
 
0.4%
1100 1
 
0.1%

Sample

공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값시설코드년도시설유형쉼터명칭상세주소면적이용가능인원난방기보유(열풍기)난방기보유(히터)난방기보유(난로)난방기보유(라디에이터)점검사항(냉방기기구비)점검사항(휴식공간)점검사항(야간개방)점검사항(적정온도)점검사항(전기료지원)점검사항(간판부착)점검사항(홍보물비치)점검사항(숙박가능)점검사항(휴일개방)사용여부한파쉼터운영시작일한파쉼터운영종료일한파쉼터평일시작시간한파쉼터평일종료시간한파쉼터주말시작시간한파쉼터주말종료시간
041179207171285559726520717128555972651126003420241중화1동통합경로당서울특별시 중랑구 동일로138길 28105.059<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
14118020702486555538562070248655553856112600013820245중화2동주민센터서울특별시 중랑구 동일로129길 1450.020<NA>3<NA><NA>YY<NA>YNYYNNY20231115202403159002100<NA><NA>
24118120693033556982302069303355698230112600013920245묵1동주민센터서울특별시 중랑구 공릉로2가길 550.010<NA>3<NA><NA>YY<NA>YNYYNNY20231115202403159002100<NA><NA>
341182207271925548530520727192554853051126003020241상봉2동구립경로당서울특별시 중랑구 동일로112길 27102.031<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
441183206713155559968020671315555996801126003520241봉화경로당서울특별시 중랑구 봉화산로3길 40-5170.035<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
541184206722455554180320672245555418031126003720241학구경로당서울특별시 중랑구 동일로123길 69-5155.056<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
641185206452695551207220645269555120721126003820241백학경로당서울특별시 중랑구 중랑천로20길 6-1473.051<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
741186207794125550803420779412555080341126003220241봉황경로당서울특별시 중랑구 봉우재로33길 55-1094.050<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
84118720896508555672752089650855567275112600014120245망우본동주민센터서울특별시 중랑구 망우로67길 10280.020<NA>3<NA><NA>YY<NA>YNYYNNY20231115202403159002100<NA><NA>
941188208530905553465920853090555346591126004220241우림경로당서울특별시 중랑구 용마산로115나길 8297.090<NA>1<NA><NA>YY<NA>YYYYNNY20231115202403159001800<NA><NA>
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값시설코드년도시설유형쉼터명칭상세주소면적이용가능인원난방기보유(열풍기)난방기보유(히터)난방기보유(난로)난방기보유(라디에이터)점검사항(냉방기기구비)점검사항(휴식공간)점검사항(야간개방)점검사항(적정온도)점검사항(전기료지원)점검사항(간판부착)점검사항(홍보물비치)점검사항(숙박가능)점검사항(휴일개방)사용여부한파쉼터운영시작일한파쉼터운영종료일한파쉼터평일시작시간한파쉼터평일종료시간한파쉼터주말시작시간한파쉼터주말종료시간
129441401202940015636011020294001563601101132013120242방아골종합사회복지관서울특별시 도봉구 시루봉로17길 42 (방학동)3217.0200<NA><NA><NA><NA>NY<NA>YYYYNNY20231115202403159001800<NA><NA>
129541402204640605581140020464060558114001135004320241벼루마을경로당서울특별시 노원구 월계로44길 62125.025<NA><NA><NA><NA>NY<NA>YYYYNNY20231115202403159001800<NA><NA>
129641403205454815578954420545481557895441135000620241장은하이빌아파트 경로당서울특별시 노원구 석계로13길 6-936.026<NA><NA><NA><NA>NY<NA>YYYYNNY20231115202403159001800<NA><NA>
129741404202535465624753720253546562475371132013920245방학3동 주민센터서울특별시 도봉구 시루봉로 94 (방학동)1572.63150<NA><NA><NA><NA>NY<NA>YNYYNNY20231115202403159001800<NA><NA>
129841405205216995584081320521699558408131135001120241광운경로당서울특별시 노원구 광운로19가길 5356.023<NA><NA><NA><NA>NY<NA>YYYYNNY20231115202403159001800<NA><NA>
129941406203183895630431620318389563043161132013820241성삼경로당서울특별시 도봉구 도당로15길 3636.09<NA><NA><NA><NA>NY<NA>YYYYNNY202311152024031513001700<NA><NA>
130041407205615055581295420561505558129541135001020245월계1동주민센터서울특별시 노원구 월계동 석계로 59 (월계동)<NA>20<NA><NA><NA><NA>NY<NA>YYYYNNY20231115202403159001800<NA><NA>
130141408201962555622904920196255562290491132014120241원당 경로당서울특별시 도봉구 해등로32가길 16199.650<NA><NA><NA><NA>NY<NA>YYYYNNY202311152024031513001700<NA><NA>
130241409205355365578963220535536557896321135000720241세양청마루아파트경로당서울특별시 노원구 광운로 2072.031<NA><NA><NA><NA>NY<NA>YYYYNNY20231115202403159001800<NA><NA>
130341410202115545618876620211554561887661132014220241세심천 경로당서울특별시 도봉구 시루봉로 65-5954.014<NA><NA><NA><NA>NY<NA>YYYYNYY20231115202403151300170011001700