Overview

Dataset statistics

Number of variables62
Number of observations423
Missing cells3169
Missing cells (%)12.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory224.0 KiB
Average record size in memory542.3 B

Variable types

Categorical16
Numeric37
Text5
DateTime4

Dataset

Description시군구명,어린이집코드,어린이집명,어린이집유형,운영현황,우편번호,상세주소,전화번호,팩스번호,홈페이지주소,보육실수,보육실 면적,놀이터수,CCTV총설치수,보육교직원수,정원,현원,시설 위도(좌표값),시설 경도(좌표값),통학차량운영여부,인가일자,휴지시작일자,휴지종료일자,폐지일자,데이터기준일자,제공서비스,반수-만0세,반수-만1세,반수-만2세,반수-만3세,반수-만4세,반수-만5세,반수-영아혼합(만0~2세),반수-유아혼합(만3~5세),반수-특수장애,반수-총계,아동수-만0세,아동수-만1세,아동수-만2세,아동수-만3세,아동수-만4세,아동수-만5세,아동수-영아혼합(만0~2세),아동수-유아혼합(만3~5세),아동수-특수장애,아동수-총계,근속년수-1년미만,근속년수-1년이상~2년미만,근속년수-2년이상~4년미만,근속년수-4년이상~6년미만,근속년수-6년이상,교직원현황-원장,교직원현황-보육교사,교직원현황-특수교사,교직원현황-치료교사,교직원현황-영양사,교직원현황-간호사,교직원현황-간호조무사,교직원현황-조리원,교직원현황-사무직원,교직원현황-총계,데이터수집일
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20319/S/1/datasetView.do

Alerts

시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공서비스 is highly imbalanced (59.9%)Imbalance
반수-만5세 is highly imbalanced (64.6%)Imbalance
반수-특수장애 is highly imbalanced (91.3%)Imbalance
팩스번호 has 103 (24.3%) missing valuesMissing
홈페이지주소 has 327 (77.3%) missing valuesMissing
시설 위도(좌표값) has 50 (11.8%) missing valuesMissing
시설 경도(좌표값) has 50 (11.8%) missing valuesMissing
휴지시작일자 has 421 (99.5%) missing valuesMissing
휴지종료일자 has 421 (99.5%) missing valuesMissing
폐지일자 has 237 (56.0%) missing valuesMissing
근속년수-1년미만 has 195 (46.1%) missing valuesMissing
근속년수-1년이상~2년미만 has 195 (46.1%) missing valuesMissing
근속년수-2년이상~4년미만 has 195 (46.1%) missing valuesMissing
근속년수-4년이상~6년미만 has 195 (46.1%) missing valuesMissing
근속년수-6년이상 has 195 (46.1%) missing valuesMissing
교직원현황-보육교사 has 195 (46.1%) missing valuesMissing
교직원현황-조리원 has 195 (46.1%) missing valuesMissing
교직원현황-총계 has 195 (46.1%) missing valuesMissing
어린이집코드 has unique valuesUnique
보육실수 has 39 (9.2%) zerosZeros
보육실 면적 has 28 (6.6%) zerosZeros
놀이터수 has 244 (57.7%) zerosZeros
CCTV총설치수 has 90 (21.3%) zerosZeros
보육교직원수 has 195 (46.1%) zerosZeros
정원 has 8 (1.9%) zerosZeros
현원 has 194 (45.9%) zerosZeros
반수-만0세 has 229 (54.1%) zerosZeros
반수-만1세 has 125 (29.6%) zerosZeros
반수-만2세 has 107 (25.3%) zerosZeros
반수-만3세 has 302 (71.4%) zerosZeros
반수-만4세 has 370 (87.5%) zerosZeros
반수-영아혼합(만0~2세) has 234 (55.3%) zerosZeros
반수-유아혼합(만3~5세) has 306 (72.3%) zerosZeros
반수-총계 has 52 (12.3%) zerosZeros
아동수-만0세 has 293 (69.3%) zerosZeros
아동수-만1세 has 234 (55.3%) zerosZeros
아동수-만2세 has 233 (55.1%) zerosZeros
아동수-만3세 has 351 (83.0%) zerosZeros
아동수-만4세 has 381 (90.1%) zerosZeros
아동수-만5세 has 371 (87.7%) zerosZeros
아동수-영아혼합(만0~2세) has 349 (82.5%) zerosZeros
아동수-유아혼합(만3~5세) has 361 (85.3%) zerosZeros
아동수-특수장애 has 414 (97.9%) zerosZeros
아동수-총계 has 200 (47.3%) zerosZeros
근속년수-1년미만 has 17 (4.0%) zerosZeros
근속년수-1년이상~2년미만 has 84 (19.9%) zerosZeros
근속년수-2년이상~4년미만 has 61 (14.4%) zerosZeros
근속년수-4년이상~6년미만 has 116 (27.4%) zerosZeros
근속년수-6년이상 has 126 (29.8%) zerosZeros
교직원현황-조리원 has 85 (20.1%) zerosZeros

Reproduction

Analysis started2024-05-11 09:07:46.310550
Analysis finished2024-05-11 09:07:48.557527
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
영등포구
423 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영등포구 423
100.0%

Length

2024-05-11T09:07:48.857641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:49.365389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영등포구 423
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct423
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.156 × 1010
Minimum1.156 × 1010
Maximum1.156 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:07:50.042311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.156 × 1010
5-th percentile1.156 × 1010
Q11.156 × 1010
median1.156 × 1010
Q31.156 × 1010
95-th percentile1.156 × 1010
Maximum1.156 × 1010
Range496
Interquartile range (IQR)278

Descriptive statistics

Standard deviation152.34102
Coefficient of variation (CV)1.3178289 × 10-8
Kurtosis-1.3831295
Mean1.156 × 1010
Median Absolute Deviation (MAD)140
Skewness0.083963141
Sum4.8898801 × 1012
Variance23207.787
MonotonicityNot monotonic
2024-05-11T09:07:50.619544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11560000498 1
 
0.2%
11560000218 1
 
0.2%
11560000167 1
 
0.2%
11560000145 1
 
0.2%
11560000082 1
 
0.2%
11560000045 1
 
0.2%
11560000136 1
 
0.2%
11560000190 1
 
0.2%
11560000043 1
 
0.2%
11560000237 1
 
0.2%
Other values (413) 413
97.6%
ValueCountFrequency (%)
11560000002 1
0.2%
11560000004 1
0.2%
11560000005 1
0.2%
11560000006 1
0.2%
11560000008 1
0.2%
11560000009 1
0.2%
11560000010 1
0.2%
11560000011 1
0.2%
11560000012 1
0.2%
11560000013 1
0.2%
ValueCountFrequency (%)
11560000498 1
0.2%
11560000497 1
0.2%
11560000496 1
0.2%
11560000495 1
0.2%
11560000494 1
0.2%
11560000493 1
0.2%
11560000492 1
0.2%
11560000491 1
0.2%
11560000490 1
0.2%
11560000489 1
0.2%
Distinct402
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T09:07:51.603903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length8.1678487
Min length5

Characters and Unicode

Total characters3455
Distinct characters327
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)90.1%

Sample

1st row삼환어린이집
2nd rowLG 에너지솔루션 지정 어린이집
3rd row신길더샵해늘어린이집
4th row코스콤푸르니어린이집
5th row탁트인 맘스가든
ValueCountFrequency (%)
어린이집 40
 
8.1%
장난감도서관 3
 
0.6%
공동육아방 3
 
0.6%
맘든든센터 3
 
0.6%
삼환어린이집 2
 
0.4%
아너스빌어린이집 2
 
0.4%
아이꿈터어린이집 2
 
0.4%
lg 2
 
0.4%
kids 2
 
0.4%
the 2
 
0.4%
Other values (413) 433
87.7%
2024-05-11T09:07:52.931602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
 
13.5%
404
 
11.7%
403
 
11.7%
401
 
11.6%
71
 
2.1%
65
 
1.9%
39
 
1.1%
34
 
1.0%
33
 
1.0%
30
 
0.9%
Other values (317) 1507
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3302
95.6%
Space Separator 71
 
2.1%
Uppercase Letter 50
 
1.4%
Decimal Number 26
 
0.8%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
468
 
14.2%
404
 
12.2%
403
 
12.2%
401
 
12.1%
65
 
2.0%
39
 
1.2%
34
 
1.0%
33
 
1.0%
30
 
0.9%
25
 
0.8%
Other values (292) 1400
42.4%
Uppercase Letter
ValueCountFrequency (%)
K 10
20.0%
S 8
16.0%
D 6
12.0%
B 5
10.0%
G 4
 
8.0%
L 3
 
6.0%
I 3
 
6.0%
X 2
 
4.0%
N 2
 
4.0%
H 2
 
4.0%
Other values (5) 5
10.0%
Decimal Number
ValueCountFrequency (%)
2 11
42.3%
1 7
26.9%
3 4
 
15.4%
5 2
 
7.7%
4 1
 
3.8%
6 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
t 2
33.3%
h 2
33.3%
e 2
33.3%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3302
95.6%
Common 97
 
2.8%
Latin 56
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
468
 
14.2%
404
 
12.2%
403
 
12.2%
401
 
12.1%
65
 
2.0%
39
 
1.2%
34
 
1.0%
33
 
1.0%
30
 
0.9%
25
 
0.8%
Other values (292) 1400
42.4%
Latin
ValueCountFrequency (%)
K 10
17.9%
S 8
14.3%
D 6
10.7%
B 5
8.9%
G 4
 
7.1%
L 3
 
5.4%
I 3
 
5.4%
X 2
 
3.6%
N 2
 
3.6%
t 2
 
3.6%
Other values (8) 11
19.6%
Common
ValueCountFrequency (%)
71
73.2%
2 11
 
11.3%
1 7
 
7.2%
3 4
 
4.1%
5 2
 
2.1%
4 1
 
1.0%
6 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3302
95.6%
ASCII 153
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
468
 
14.2%
404
 
12.2%
403
 
12.2%
401
 
12.1%
65
 
2.0%
39
 
1.2%
34
 
1.0%
33
 
1.0%
30
 
0.9%
25
 
0.8%
Other values (292) 1400
42.4%
ASCII
ValueCountFrequency (%)
71
46.4%
2 11
 
7.2%
K 10
 
6.5%
S 8
 
5.2%
1 7
 
4.6%
D 6
 
3.9%
B 5
 
3.3%
G 4
 
2.6%
3 4
 
2.6%
L 3
 
2.0%
Other values (15) 24
 
15.7%
Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
가정
146 
민간
123 
국공립
93 
직장
42 
법인?단체등
 
13

Length

Max length6
Median length2
Mean length2.3995272
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국공립
2nd row직장
3rd row국공립
4th row직장
5th row국공립

Common Values

ValueCountFrequency (%)
가정 146
34.5%
민간 123
29.1%
국공립 93
22.0%
직장 42
 
9.9%
법인?단체등 13
 
3.1%
사회복지법인 6
 
1.4%

Length

2024-05-11T09:07:53.483522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:54.030263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 146
34.5%
민간 123
29.1%
국공립 93
22.0%
직장 42
 
9.9%
법인?단체등 13
 
3.1%
사회복지법인 6
 
1.4%

운영현황
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
정상
229 
폐지
189 
재개
 
3
휴지
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 229
54.1%
폐지 189
44.7%
재개 3
 
0.7%
휴지 2
 
0.5%

Length

2024-05-11T09:07:54.588018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:55.057912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 229
54.1%
폐지 189
44.7%
재개 3
 
0.7%
휴지 2
 
0.5%

우편번호
Real number (ℝ)

Distinct192
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23585.56
Minimum7201
Maximum150989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:07:55.534371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7201
5-th percentile7211
Q17269.5
median7355
Q37411.5
95-th percentile150818
Maximum150989
Range143788
Interquartile range (IQR)142

Descriptive statistics

Standard deviation45503.644
Coefficient of variation (CV)1.9293009
Kurtosis4.0019891
Mean23585.56
Median Absolute Deviation (MAD)72
Skewness2.4460168
Sum9976692
Variance2.0705816 × 109
MonotonicityNot monotonic
2024-05-11T09:07:56.100435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7365 11
 
2.6%
7217 9
 
2.1%
7362 8
 
1.9%
7295 7
 
1.7%
7283 6
 
1.4%
7390 6
 
1.4%
7258 6
 
1.4%
7215 6
 
1.4%
7355 5
 
1.2%
7210 5
 
1.2%
Other values (182) 354
83.7%
ValueCountFrequency (%)
7201 2
 
0.5%
7202 1
 
0.2%
7204 4
0.9%
7205 1
 
0.2%
7206 3
0.7%
7208 2
 
0.5%
7209 3
0.7%
7210 5
1.2%
7211 4
0.9%
7212 1
 
0.2%
ValueCountFrequency (%)
150989 1
 
0.2%
150977 1
 
0.2%
150907 1
 
0.2%
150900 1
 
0.2%
150857 1
 
0.2%
150856 1
 
0.2%
150854 1
 
0.2%
150853 1
 
0.2%
150847 4
0.9%
150841 1
 
0.2%
Distinct417
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T09:07:56.808998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length31.27896
Min length17

Characters and Unicode

Total characters13231
Distinct characters220
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

Unique411 ?
Unique (%)97.2%

Sample

1st row서울특별시 영등포구 영중로 145 영등포삼환아파트 104동 101호
2nd row서울특별시 영등포구 여의대로 108 파크원빌딩 3층
3rd row서울특별시 영등포구 가마산로79길 37 관리동
4th row서울특별시 영등포구 여의나루로4길 21 2층
5th row서울특별시 영등포구 신길로 204 2층
ValueCountFrequency (%)
영등포구 424
 
17.6%
서울특별시 382
 
15.9%
신길동 41
 
1.7%
서울 41
 
1.7%
101동 25
 
1.0%
1층 18
 
0.7%
대림동 17
 
0.7%
관리동 15
 
0.6%
9 15
 
0.6%
당산동4가 14
 
0.6%
Other values (682) 1411
58.7%
2024-05-11T09:07:58.225034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1983
 
15.0%
1 634
 
4.8%
516
 
3.9%
483
 
3.7%
482
 
3.6%
472
 
3.6%
439
 
3.3%
429
 
3.2%
428
 
3.2%
387
 
2.9%
Other values (210) 6978
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8242
62.3%
Decimal Number 2432
 
18.4%
Space Separator 1983
 
15.0%
Close Punctuation 197
 
1.5%
Open Punctuation 197
 
1.5%
Dash Punctuation 90
 
0.7%
Other Punctuation 82
 
0.6%
Uppercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
516
 
6.3%
483
 
5.9%
482
 
5.8%
472
 
5.7%
439
 
5.3%
429
 
5.2%
428
 
5.2%
387
 
4.7%
385
 
4.7%
383
 
4.6%
Other values (187) 3838
46.6%
Decimal Number
ValueCountFrequency (%)
1 634
26.1%
2 359
14.8%
0 304
12.5%
4 257
10.6%
3 247
 
10.2%
5 172
 
7.1%
6 139
 
5.7%
7 126
 
5.2%
9 99
 
4.1%
8 95
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
B 2
28.6%
L 1
14.3%
G 1
14.3%
A 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 80
97.6%
@ 1
 
1.2%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
1983
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8242
62.3%
Common 4982
37.7%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
516
 
6.3%
483
 
5.9%
482
 
5.8%
472
 
5.7%
439
 
5.3%
429
 
5.2%
428
 
5.2%
387
 
4.7%
385
 
4.7%
383
 
4.6%
Other values (187) 3838
46.6%
Common
ValueCountFrequency (%)
1983
39.8%
1 634
 
12.7%
2 359
 
7.2%
0 304
 
6.1%
4 257
 
5.2%
3 247
 
5.0%
) 197
 
4.0%
( 197
 
4.0%
5 172
 
3.5%
6 139
 
2.8%
Other values (8) 493
 
9.9%
Latin
ValueCountFrequency (%)
C 2
28.6%
B 2
28.6%
L 1
14.3%
G 1
14.3%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8242
62.3%
ASCII 4989
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1983
39.7%
1 634
 
12.7%
2 359
 
7.2%
0 304
 
6.1%
4 257
 
5.2%
3 247
 
5.0%
) 197
 
3.9%
( 197
 
3.9%
5 172
 
3.4%
6 139
 
2.8%
Other values (13) 500
 
10.0%
Hangul
ValueCountFrequency (%)
516
 
6.3%
483
 
5.9%
482
 
5.8%
472
 
5.7%
439
 
5.3%
429
 
5.2%
428
 
5.2%
387
 
4.7%
385
 
4.7%
383
 
4.6%
Other values (187) 3838
46.6%
Distinct381
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-05-11T09:07:58.933467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.520095
Min length9

Characters and Unicode

Total characters4873
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)81.8%

Sample

1st row02-2679-5967
2nd row02-2118-0700
3rd row02-6205-0707
4th row02-761-9881
5th row02-833-6022
ValueCountFrequency (%)
02-833-6022 7
 
1.7%
02-833-9600 3
 
0.7%
02-2068-3466 3
 
0.7%
02-2068-5515 2
 
0.5%
02-846-2131 2
 
0.5%
02-6269-3939 2
 
0.5%
02-849-4279 2
 
0.5%
02-841-8386 2
 
0.5%
02-2677-3927 2
 
0.5%
02-847-2243 2
 
0.5%
Other values (371) 396
93.6%
2024-05-11T09:08:00.155301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 846
17.4%
2 788
16.2%
0 719
14.8%
8 397
8.1%
3 395
8.1%
6 391
8.0%
7 323
 
6.6%
4 319
 
6.5%
1 258
 
5.3%
9 220
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4027
82.6%
Dash Punctuation 846
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 788
19.6%
0 719
17.9%
8 397
9.9%
3 395
9.8%
6 391
9.7%
7 323
8.0%
4 319
7.9%
1 258
 
6.4%
9 220
 
5.5%
5 217
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 846
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4873
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 846
17.4%
2 788
16.2%
0 719
14.8%
8 397
8.1%
3 395
8.1%
6 391
8.0%
7 323
 
6.6%
4 319
 
6.5%
1 258
 
5.3%
9 220
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 846
17.4%
2 788
16.2%
0 719
14.8%
8 397
8.1%
3 395
8.1%
6 391
8.0%
7 323
 
6.6%
4 319
 
6.5%
1 258
 
5.3%
9 220
 
4.5%

팩스번호
Text

MISSING 

Distinct296
Distinct (%)92.5%
Missing103
Missing (%)24.3%
Memory size3.4 KiB
2024-05-11T09:08:01.137781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.503125
Min length11

Characters and Unicode

Total characters3681
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)86.2%

Sample

1st row02-2118-0702
2nd row02-761-9882
3rd row02-6332-5052
4th row02-6269-1906
5th row02-6672-8334
ValueCountFrequency (%)
02-843-5002 4
 
1.2%
02-2068-5515 3
 
0.9%
02-846-2111 3
 
0.9%
02-842-1537 2
 
0.6%
02-846-0133 2
 
0.6%
02-2679-6831 2
 
0.6%
02-841-4453 2
 
0.6%
02-834-0317 2
 
0.6%
02-832-4982 2
 
0.6%
02-2677-3927 2
 
0.6%
Other values (286) 296
92.5%
2024-05-11T09:08:02.448237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 640
17.4%
2 590
16.0%
0 508
13.8%
8 306
8.3%
3 306
8.3%
6 281
7.6%
4 241
 
6.5%
7 241
 
6.5%
1 196
 
5.3%
5 186
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3041
82.6%
Dash Punctuation 640
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 590
19.4%
0 508
16.7%
8 306
10.1%
3 306
10.1%
6 281
9.2%
4 241
7.9%
7 241
7.9%
1 196
 
6.4%
5 186
 
6.1%
9 186
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 640
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3681
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 640
17.4%
2 590
16.0%
0 508
13.8%
8 306
8.3%
3 306
8.3%
6 281
7.6%
4 241
 
6.5%
7 241
 
6.5%
1 196
 
5.3%
5 186
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 640
17.4%
2 590
16.0%
0 508
13.8%
8 306
8.3%
3 306
8.3%
6 281
7.6%
4 241
 
6.5%
7 241
 
6.5%
1 196
 
5.3%
5 186
 
5.1%

홈페이지주소
Text

MISSING 

Distinct93
Distinct (%)96.9%
Missing327
Missing (%)77.3%
Memory size3.4 KiB
2024-05-11T09:08:03.773079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length31
Mean length22.645833
Min length4

Characters and Unicode

Total characters2174
Distinct characters69
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

Unique91 ?
Unique (%)94.8%

Sample

1st rowwww.puruni.com
2nd rowhttp://www.puruni.com/kbyeouido
3rd rowhttp://cafe.daum.net/ydpdd
4th rowhttps://www.puruni.com/hanayu
5th rowhttp://cafe.daum.net/No-Ah
ValueCountFrequency (%)
www.puruni.com 3
 
3.0%
ye843@hanmail.net 2
 
2.0%
nilpurun.co.kr 1
 
1.0%
https://cafe.naver.com/bbiyagibaby 1
 
1.0%
http://haenarakid.dum 1
 
1.0%
taehamam@hanmail.net 1
 
1.0%
hyun00724@hananet.net 1
 
1.0%
good33love@hanmail.net 1
 
1.0%
kidsworld.mypepe.com 1
 
1.0%
키즈노트 1
 
1.0%
Other values (87) 87
87.0%
2024-05-11T09:08:05.481844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 167
 
7.7%
a 140
 
6.4%
t 130
 
6.0%
n 129
 
5.9%
/ 125
 
5.7%
e 123
 
5.7%
o 105
 
4.8%
m 104
 
4.8%
c 94
 
4.3%
h 84
 
3.9%
Other values (59) 973
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1638
75.3%
Other Punctuation 352
 
16.2%
Decimal Number 141
 
6.5%
Other Letter 29
 
1.3%
Dash Punctuation 6
 
0.3%
Space Separator 4
 
0.2%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 140
 
8.5%
t 130
 
7.9%
n 129
 
7.9%
e 123
 
7.5%
o 105
 
6.4%
m 104
 
6.3%
c 94
 
5.7%
h 84
 
5.1%
i 79
 
4.8%
u 78
 
4.8%
Other values (15) 572
34.9%
Other Letter
ValueCountFrequency (%)
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (13) 13
44.8%
Decimal Number
ValueCountFrequency (%)
0 27
19.1%
3 24
17.0%
2 21
14.9%
4 12
8.5%
1 12
8.5%
8 12
8.5%
6 10
 
7.1%
5 9
 
6.4%
7 7
 
5.0%
9 7
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 167
47.4%
/ 125
35.5%
: 37
 
10.5%
@ 22
 
6.2%
; 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
D 1
33.3%
N 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1641
75.5%
Common 504
 
23.2%
Hangul 29
 
1.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 140
 
8.5%
t 130
 
7.9%
n 129
 
7.9%
e 123
 
7.5%
o 105
 
6.4%
m 104
 
6.3%
c 94
 
5.7%
h 84
 
5.1%
i 79
 
4.8%
u 78
 
4.8%
Other values (18) 575
35.0%
Hangul
ValueCountFrequency (%)
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (13) 13
44.8%
Common
ValueCountFrequency (%)
. 167
33.1%
/ 125
24.8%
: 37
 
7.3%
0 27
 
5.4%
3 24
 
4.8%
@ 22
 
4.4%
2 21
 
4.2%
4 12
 
2.4%
1 12
 
2.4%
8 12
 
2.4%
Other values (8) 45
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2145
98.7%
Hangul 29
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 167
 
7.8%
a 140
 
6.5%
t 130
 
6.1%
n 129
 
6.0%
/ 125
 
5.8%
e 123
 
5.7%
o 105
 
4.9%
m 104
 
4.8%
c 94
 
4.4%
h 84
 
3.9%
Other values (36) 944
44.0%
Hangul
ValueCountFrequency (%)
3
 
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Other values (13) 13
44.8%

보육실수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9054374
Minimum0
Maximum22
Zeros39
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:06.046050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q35
95-th percentile8
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5528617
Coefficient of variation (CV)0.65366859
Kurtosis9.5507121
Mean3.9054374
Median Absolute Deviation (MAD)1
Skewness2.0645564
Sum1652
Variance6.5171031
MonotonicityNot monotonic
2024-05-11T09:08:06.558029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 148
35.0%
4 91
21.5%
0 39
 
9.2%
5 39
 
9.2%
2 32
 
7.6%
6 23
 
5.4%
7 18
 
4.3%
9 10
 
2.4%
8 10
 
2.4%
12 4
 
0.9%
Other values (6) 9
 
2.1%
ValueCountFrequency (%)
0 39
 
9.2%
1 2
 
0.5%
2 32
 
7.6%
3 148
35.0%
4 91
21.5%
5 39
 
9.2%
6 23
 
5.4%
7 18
 
4.3%
8 10
 
2.4%
9 10
 
2.4%
ValueCountFrequency (%)
22 1
 
0.2%
19 1
 
0.2%
13 3
 
0.7%
12 4
 
0.9%
11 1
 
0.2%
10 1
 
0.2%
9 10
2.4%
8 10
2.4%
7 18
4.3%
6 23
5.4%

보육실 면적
Real number (ℝ)

ZEROS 

Distinct196
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.95035
Minimum0
Maximum750
Zeros28
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:07.092736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q157
median90
Q3180
95-th percentile374.9
Maximum750
Range750
Interquartile range (IQR)123

Descriptive statistics

Standard deviation119.71156
Coefficient of variation (CV)0.91417515
Kurtosis5.5112551
Mean130.95035
Median Absolute Deviation (MAD)38
Skewness2.1010263
Sum55392
Variance14330.858
MonotonicityNot monotonic
2024-05-11T09:08:07.565932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
6.6%
58 9
 
2.1%
84 9
 
2.1%
54 8
 
1.9%
62 7
 
1.7%
52 7
 
1.7%
53 7
 
1.7%
55 7
 
1.7%
70 6
 
1.4%
57 6
 
1.4%
Other values (186) 329
77.8%
ValueCountFrequency (%)
0 28
6.6%
26 1
 
0.2%
27 4
 
0.9%
32 1
 
0.2%
34 2
 
0.5%
35 1
 
0.2%
36 1
 
0.2%
37 2
 
0.5%
38 1
 
0.2%
39 1
 
0.2%
ValueCountFrequency (%)
750 1
0.2%
691 1
0.2%
659 1
0.2%
643 1
0.2%
615 1
0.2%
571 1
0.2%
545 1
0.2%
531 1
0.2%
527 1
0.2%
495 1
0.2%

놀이터수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6713948
Minimum0
Maximum7
Zeros244
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:08.053564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0226393
Coefficient of variation (CV)1.5231565
Kurtosis8.2637381
Mean0.6713948
Median Absolute Deviation (MAD)0
Skewness2.348881
Sum284
Variance1.0457912
MonotonicityNot monotonic
2024-05-11T09:08:08.579980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 244
57.7%
1 111
26.2%
2 47
 
11.1%
3 15
 
3.5%
6 3
 
0.7%
4 1
 
0.2%
7 1
 
0.2%
5 1
 
0.2%
ValueCountFrequency (%)
0 244
57.7%
1 111
26.2%
2 47
 
11.1%
3 15
 
3.5%
4 1
 
0.2%
5 1
 
0.2%
6 3
 
0.7%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
6 3
 
0.7%
5 1
 
0.2%
4 1
 
0.2%
3 15
 
3.5%
2 47
 
11.1%
1 111
26.2%
0 244
57.7%

CCTV총설치수
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0212766
Minimum0
Maximum55
Zeros90
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:09.198385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q38
95-th percentile24
Maximum55
Range55
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.0500226
Coefficient of variation (CV)1.1465184
Kurtosis8.1140102
Mean7.0212766
Median Absolute Deviation (MAD)4
Skewness2.4707877
Sum2970
Variance64.802864
MonotonicityNot monotonic
2024-05-11T09:08:09.766355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 102
24.1%
0 90
21.3%
8 36
 
8.5%
5 36
 
8.5%
3 24
 
5.7%
7 17
 
4.0%
6 17
 
4.0%
13 12
 
2.8%
15 10
 
2.4%
16 10
 
2.4%
Other values (25) 69
16.3%
ValueCountFrequency (%)
0 90
21.3%
1 1
 
0.2%
2 3
 
0.7%
3 24
 
5.7%
4 102
24.1%
5 36
 
8.5%
6 17
 
4.0%
7 17
 
4.0%
8 36
 
8.5%
9 8
 
1.9%
ValueCountFrequency (%)
55 1
 
0.2%
51 1
 
0.2%
43 1
 
0.2%
42 2
0.5%
41 1
 
0.2%
32 2
0.5%
31 4
0.9%
29 2
0.5%
28 3
0.7%
26 1
 
0.2%

보육교직원수
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5910165
Minimum0
Maximum53
Zeros195
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:10.290540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q310
95-th percentile23
Maximum53
Range53
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.8674074
Coefficient of variation (CV)1.3453778
Kurtosis6.115042
Mean6.5910165
Median Absolute Deviation (MAD)6
Skewness2.1464109
Sum2788
Variance78.630914
MonotonicityNot monotonic
2024-05-11T09:08:10.975789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 195
46.1%
6 30
 
7.1%
7 28
 
6.6%
9 23
 
5.4%
10 20
 
4.7%
8 17
 
4.0%
12 15
 
3.5%
13 12
 
2.8%
14 11
 
2.6%
11 10
 
2.4%
Other values (28) 62
 
14.7%
ValueCountFrequency (%)
0 195
46.1%
1 4
 
0.9%
3 2
 
0.5%
4 2
 
0.5%
5 7
 
1.7%
6 30
 
7.1%
7 28
 
6.6%
8 17
 
4.0%
9 23
 
5.4%
10 20
 
4.7%
ValueCountFrequency (%)
53 1
0.2%
49 1
0.2%
47 1
0.2%
45 1
0.2%
43 2
0.5%
40 2
0.5%
38 1
0.2%
32 1
0.2%
31 1
0.2%
30 1
0.2%

정원
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.628842
Minimum0
Maximum240
Zeros8
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:11.587087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q120
median27
Q349
95-th percentile109.8
Maximum240
Range240
Interquartile range (IQR)29

Descriptive statistics

Standard deviation35.748355
Coefficient of variation (CV)0.85874007
Kurtosis6.0209532
Mean41.628842
Median Absolute Deviation (MAD)10
Skewness2.2235664
Sum17609
Variance1277.9449
MonotonicityNot monotonic
2024-05-11T09:08:12.221208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 84
 
19.9%
19 35
 
8.3%
49 20
 
4.7%
17 12
 
2.8%
39 11
 
2.6%
27 10
 
2.4%
18 10
 
2.4%
45 9
 
2.1%
32 9
 
2.1%
15 8
 
1.9%
Other values (86) 215
50.8%
ValueCountFrequency (%)
0 8
 
1.9%
10 5
 
1.2%
12 5
 
1.2%
13 5
 
1.2%
14 3
 
0.7%
15 8
 
1.9%
16 6
 
1.4%
17 12
 
2.8%
18 10
 
2.4%
19 35
8.3%
ValueCountFrequency (%)
240 1
0.2%
207 1
0.2%
200 1
0.2%
187 1
0.2%
173 1
0.2%
170 2
0.5%
165 1
0.2%
160 1
0.2%
159 1
0.2%
156 1
0.2%

현원
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.992908
Minimum0
Maximum144
Zeros194
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:12.800018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q329
95-th percentile78.9
Maximum144
Range144
Interquartile range (IQR)29

Descriptive statistics

Standard deviation28.931893
Coefficient of variation (CV)1.3781746
Kurtosis3.4271406
Mean20.992908
Median Absolute Deviation (MAD)15
Skewness1.8329202
Sum8880
Variance837.05445
MonotonicityNot monotonic
2024-05-11T09:08:13.423326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 194
45.9%
20 20
 
4.7%
18 17
 
4.0%
19 15
 
3.5%
17 13
 
3.1%
16 9
 
2.1%
15 7
 
1.7%
30 6
 
1.4%
42 5
 
1.2%
27 5
 
1.2%
Other values (69) 132
31.2%
ValueCountFrequency (%)
0 194
45.9%
7 2
 
0.5%
8 4
 
0.9%
9 1
 
0.2%
10 4
 
0.9%
12 2
 
0.5%
13 2
 
0.5%
15 7
 
1.7%
16 9
 
2.1%
17 13
 
3.1%
ValueCountFrequency (%)
144 1
0.2%
137 1
0.2%
134 2
0.5%
129 1
0.2%
127 1
0.2%
124 1
0.2%
120 1
0.2%
119 1
0.2%
117 1
0.2%
113 1
0.2%

시설 위도(좌표값)
Real number (ℝ)

MISSING 

Distinct336
Distinct (%)90.1%
Missing50
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean37.514684
Minimum37.48729
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:14.086789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.48729
5-th percentile37.493303
Q137.504201
median37.514548
Q337.525223
95-th percentile37.533924
Maximum37.56647
Range0.0791802
Interquartile range (IQR)0.021022406

Descriptive statistics

Standard deviation0.013693357
Coefficient of variation (CV)0.00036501325
Kurtosis-0.18595176
Mean37.514684
Median Absolute Deviation (MAD)0.01056397
Skewness0.20467017
Sum13992.977
Variance0.00018750802
MonotonicityNot monotonic
2024-05-11T09:08:14.742489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51181664 5
 
1.2%
37.5004198781 3
 
0.7%
37.5307754 3
 
0.7%
37.54013232 3
 
0.7%
37.52963147 3
 
0.7%
37.51041002 3
 
0.7%
37.53146213 2
 
0.5%
37.5314959813 2
 
0.5%
37.5162769232 2
 
0.5%
37.50506040196341 2
 
0.5%
Other values (326) 345
81.6%
(Missing) 50
 
11.8%
ValueCountFrequency (%)
37.4872898 1
0.2%
37.48835064 1
0.2%
37.48912755 1
0.2%
37.48924133 1
0.2%
37.49034098 1
0.2%
37.49098469 1
0.2%
37.49101579272708 1
0.2%
37.49101787856108 1
0.2%
37.49109041 1
0.2%
37.49109741 1
0.2%
ValueCountFrequency (%)
37.56647 2
0.5%
37.542485810758144 1
 
0.2%
37.5418879646 1
 
0.2%
37.540923956938485 1
 
0.2%
37.54013232 3
0.7%
37.53937762783361 1
 
0.2%
37.53869219 1
 
0.2%
37.53809703 1
 
0.2%
37.53809531 1
 
0.2%
37.53776608 1
 
0.2%

시설 경도(좌표값)
Real number (ℝ)

MISSING 

Distinct336
Distinct (%)90.1%
Missing50
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean126.90552
Minimum126.88257
Maximum126.97796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:15.443101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.88257
5-th percentile126.8871
Q1126.89641
median126.90367
Q3126.91329
95-th percentile126.92757
Maximum126.97796
Range0.0953913
Interquartile range (IQR)0.0168882

Descriptive statistics

Standard deviation0.013097512
Coefficient of variation (CV)0.00010320679
Kurtosis3.8719163
Mean126.90552
Median Absolute Deviation (MAD)0.0081464
Skewness1.1455817
Sum47335.76
Variance0.00017154482
MonotonicityNot monotonic
2024-05-11T09:08:15.901324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9036672 5
 
1.2%
126.9115453356 3
 
0.7%
126.9017323 3
 
0.7%
126.8921478 3
 
0.7%
126.9008055 3
 
0.7%
126.9045305 3
 
0.7%
126.8967214 2
 
0.5%
126.8966243298 2
 
0.5%
126.8973918801 2
 
0.5%
126.90962173205078 2
 
0.5%
Other values (326) 345
81.6%
(Missing) 50
 
11.8%
ValueCountFrequency (%)
126.8825717 1
0.2%
126.882662 1
0.2%
126.8828535983516 1
0.2%
126.88292196255074 1
0.2%
126.882965 1
0.2%
126.8830515 1
0.2%
126.8830719 1
0.2%
126.88405337225043 1
0.2%
126.88439546685 1
0.2%
126.88445623057927 1
0.2%
ValueCountFrequency (%)
126.977963 2
0.5%
126.9370282 1
0.2%
126.9360868 1
0.2%
126.9350836 1
0.2%
126.9345949 1
0.2%
126.9340679 1
0.2%
126.93372772682926 1
0.2%
126.93365889150579 1
0.2%
126.93298282867129 1
0.2%
126.9324966 1
0.2%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
미운영
313 
<NA>
57 
운영
53 

Length

Max length4
Median length3
Mean length3.0094563
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미운영 313
74.0%
<NA> 57
 
13.5%
운영 53
 
12.5%

Length

2024-05-11T09:08:16.514533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:17.012671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 313
74.0%
na 57
 
13.5%
운영 53
 
12.5%
Distinct370
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1982-03-01 00:00:00
Maximum2022-10-01 00:00:00
2024-05-11T09:08:17.539618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:18.220358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing421
Missing (%)99.5%
Memory size3.4 KiB
Minimum2020-12-04 00:00:00
Maximum2022-02-21 00:00:00
2024-05-11T09:08:18.571121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:18.892481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴지종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing421
Missing (%)99.5%
Memory size3.4 KiB
Minimum2022-11-30 00:00:00
Maximum2023-02-15 00:00:00
2024-05-11T09:08:19.211185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:19.533886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

폐지일자
Date

MISSING 

Distinct148
Distinct (%)79.6%
Missing237
Missing (%)56.0%
Memory size3.4 KiB
Minimum2005-03-15 00:00:00
Maximum2022-09-30 00:00:00
2024-05-11T09:08:19.928802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:08:20.383524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2022-10-26
423 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-26
2nd row2022-10-26
3rd row2022-10-26
4th row2022-10-26
5th row2022-10-26

Common Values

ValueCountFrequency (%)
2022-10-26 423
100.0%

Length

2024-05-11T09:08:20.780236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:21.110247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-26 423
100.0%

제공서비스
Categorical

IMBALANCE 

Distinct12
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
일반
274 
야간연장
112 
방과후 전담
 
14
시간제보육
 
8
장애아통합,야간연장
 
8
Other values (7)
 
7

Length

Max length27
Median length2
Mean length2.9905437
Min length2

Unique

Unique7 ?
Unique (%)1.7%

Sample

1st row일반
2nd row일반
3rd row야간연장
4th row일반
5th row시간제보육

Common Values

ValueCountFrequency (%)
일반 274
64.8%
야간연장 112
26.5%
방과후 전담 14
 
3.3%
시간제보육 8
 
1.9%
장애아통합,야간연장 8
 
1.9%
장애아통합 1
 
0.2%
영아전담 1
 
0.2%
야간연장,휴일보육 1
 
0.2%
야간연장,24시간 1
 
0.2%
장애아통합,방과후 통합,야간연장,휴일보육,24시간 1
 
0.2%
Other values (2) 2
 
0.5%

Length

2024-05-11T09:08:21.447965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 274
62.6%
야간연장 112
25.6%
방과후 14
 
3.2%
전담 14
 
3.2%
시간제보육 8
 
1.8%
장애아통합,야간연장 8
 
1.8%
장애아통합 1
 
0.2%
영아전담 1
 
0.2%
야간연장,휴일보육 1
 
0.2%
야간연장,24시간 1
 
0.2%
Other values (4) 4
 
0.9%

반수-만0세
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95035461
Minimum0
Maximum10
Zeros229
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:21.960388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3366484
Coefficient of variation (CV)1.4064733
Kurtosis7.9433119
Mean0.95035461
Median Absolute Deviation (MAD)0
Skewness2.1369088
Sum402
Variance1.786629
MonotonicityNot monotonic
2024-05-11T09:08:22.359933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 229
54.1%
2 83
 
19.6%
1 65
 
15.4%
3 32
 
7.6%
4 7
 
1.7%
5 3
 
0.7%
8 2
 
0.5%
10 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
0 229
54.1%
1 65
 
15.4%
2 83
 
19.6%
3 32
 
7.6%
4 7
 
1.7%
5 3
 
0.7%
6 1
 
0.2%
8 2
 
0.5%
10 1
 
0.2%
ValueCountFrequency (%)
10 1
 
0.2%
8 2
 
0.5%
6 1
 
0.2%
5 3
 
0.7%
4 7
 
1.7%
3 32
 
7.6%
2 83
 
19.6%
1 65
 
15.4%
0 229
54.1%

반수-만1세
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5224586
Minimum0
Maximum9
Zeros125
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:22.771006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4583772
Coefficient of variation (CV)0.95790925
Kurtosis4.730654
Mean1.5224586
Median Absolute Deviation (MAD)1
Skewness1.5581541
Sum644
Variance2.1268641
MonotonicityNot monotonic
2024-05-11T09:08:23.497620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 125
29.6%
2 121
28.6%
1 93
22.0%
3 58
13.7%
4 16
 
3.8%
8 5
 
1.2%
6 2
 
0.5%
5 2
 
0.5%
9 1
 
0.2%
ValueCountFrequency (%)
0 125
29.6%
1 93
22.0%
2 121
28.6%
3 58
13.7%
4 16
 
3.8%
5 2
 
0.5%
6 2
 
0.5%
8 5
 
1.2%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
8 5
 
1.2%
6 2
 
0.5%
5 2
 
0.5%
4 16
 
3.8%
3 58
13.7%
2 121
28.6%
1 93
22.0%
0 125
29.6%

반수-만2세
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.498818
Minimum0
Maximum8
Zeros107
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:23.825875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3937482
Coefficient of variation (CV)0.92989827
Kurtosis2.7387213
Mean1.498818
Median Absolute Deviation (MAD)1
Skewness1.3980747
Sum634
Variance1.9425341
MonotonicityNot monotonic
2024-05-11T09:08:24.457301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 130
30.7%
2 123
29.1%
0 107
25.3%
4 26
 
6.1%
3 23
 
5.4%
6 8
 
1.9%
5 3
 
0.7%
7 2
 
0.5%
8 1
 
0.2%
ValueCountFrequency (%)
0 107
25.3%
1 130
30.7%
2 123
29.1%
3 23
 
5.4%
4 26
 
6.1%
5 3
 
0.7%
6 8
 
1.9%
7 2
 
0.5%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
7 2
 
0.5%
6 8
 
1.9%
5 3
 
0.7%
4 26
 
6.1%
3 23
 
5.4%
2 123
29.1%
1 130
30.7%
0 107
25.3%

반수-만3세
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42080378
Minimum0
Maximum7
Zeros302
Zeros (%)71.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:24.862614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.81032573
Coefficient of variation (CV)1.9256617
Kurtosis13.760626
Mean0.42080378
Median Absolute Deviation (MAD)0
Skewness2.929473
Sum178
Variance0.65662779
MonotonicityNot monotonic
2024-05-11T09:08:25.542339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 302
71.4%
1 79
 
18.7%
2 35
 
8.3%
3 3
 
0.7%
4 2
 
0.5%
7 1
 
0.2%
5 1
 
0.2%
ValueCountFrequency (%)
0 302
71.4%
1 79
 
18.7%
2 35
 
8.3%
3 3
 
0.7%
4 2
 
0.5%
5 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
5 1
 
0.2%
4 2
 
0.5%
3 3
 
0.7%
2 35
 
8.3%
1 79
 
18.7%
0 302
71.4%

반수-만4세
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19858156
Minimum0
Maximum6
Zeros370
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:26.007191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.64821876
Coefficient of variation (CV)3.2642445
Kurtosis28.922261
Mean0.19858156
Median Absolute Deviation (MAD)0
Skewness4.7645054
Sum84
Variance0.42018756
MonotonicityNot monotonic
2024-05-11T09:08:26.362308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 370
87.5%
1 35
 
8.3%
2 12
 
2.8%
3 2
 
0.5%
4 2
 
0.5%
6 1
 
0.2%
5 1
 
0.2%
ValueCountFrequency (%)
0 370
87.5%
1 35
 
8.3%
2 12
 
2.8%
3 2
 
0.5%
4 2
 
0.5%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 2
 
0.5%
3 2
 
0.5%
2 12
 
2.8%
1 35
 
8.3%
0 370
87.5%

반수-만5세
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
358 
1
40 
2
 
19
3
 
5
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 358
84.6%
1 40
 
9.5%
2 19
 
4.5%
3 5
 
1.2%
5 1
 
0.2%

Length

2024-05-11T09:08:26.858068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:27.301310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 358
84.6%
1 40
 
9.5%
2 19
 
4.5%
3 5
 
1.2%
5 1
 
0.2%

반수-영아혼합(만0~2세)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.212766
Minimum0
Maximum11
Zeros234
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:27.875612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8154491
Coefficient of variation (CV)1.4969493
Kurtosis4.1482864
Mean1.212766
Median Absolute Deviation (MAD)0
Skewness1.8893736
Sum513
Variance3.2958556
MonotonicityNot monotonic
2024-05-11T09:08:28.511648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 234
55.3%
2 59
 
13.9%
1 53
 
12.5%
3 26
 
6.1%
4 23
 
5.4%
5 13
 
3.1%
6 7
 
1.7%
7 4
 
0.9%
8 2
 
0.5%
10 1
 
0.2%
ValueCountFrequency (%)
0 234
55.3%
1 53
 
12.5%
2 59
 
13.9%
3 26
 
6.1%
4 23
 
5.4%
5 13
 
3.1%
6 7
 
1.7%
7 4
 
0.9%
8 2
 
0.5%
10 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
10 1
 
0.2%
8 2
 
0.5%
7 4
 
0.9%
6 7
 
1.7%
5 13
 
3.1%
4 23
 
5.4%
3 26
6.1%
2 59
13.9%
1 53
12.5%

반수-유아혼합(만3~5세)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4893617
Minimum0
Maximum9
Zeros306
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:28.932015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0345937
Coefficient of variation (CV)2.1141698
Kurtosis17.924426
Mean0.4893617
Median Absolute Deviation (MAD)0
Skewness3.4922094
Sum207
Variance1.0703842
MonotonicityNot monotonic
2024-05-11T09:08:29.332799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 306
72.3%
1 64
 
15.1%
2 35
 
8.3%
3 11
 
2.6%
4 3
 
0.7%
6 2
 
0.5%
9 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
0 306
72.3%
1 64
 
15.1%
2 35
 
8.3%
3 11
 
2.6%
4 3
 
0.7%
6 2
 
0.5%
7 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
7 1
 
0.2%
6 2
 
0.5%
4 3
 
0.7%
3 11
 
2.6%
2 35
 
8.3%
1 64
 
15.1%
0 306
72.3%

반수-특수장애
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
413 
1
 
5
3
 
3
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 413
97.6%
1 5
 
1.2%
3 3
 
0.7%
2 1
 
0.2%
5 1
 
0.2%

Length

2024-05-11T09:08:29.756739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:30.128619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 413
97.6%
1 5
 
1.2%
3 3
 
0.7%
2 1
 
0.2%
5 1
 
0.2%

반수-총계
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5744681
Minimum0
Maximum33
Zeros52
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:30.458685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q38
95-th percentile16
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.9536726
Coefficient of variation (CV)0.75347124
Kurtosis5.4177633
Mean6.5744681
Median Absolute Deviation (MAD)2
Skewness1.7209422
Sum2781
Variance24.538873
MonotonicityNot monotonic
2024-05-11T09:08:30.851632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5 61
14.4%
0 52
12.3%
4 51
12.1%
7 49
11.6%
6 41
9.7%
8 39
9.2%
9 21
 
5.0%
10 18
 
4.3%
3 18
 
4.3%
11 16
 
3.8%
Other values (17) 57
13.5%
ValueCountFrequency (%)
0 52
12.3%
1 5
 
1.2%
2 9
 
2.1%
3 18
 
4.3%
4 51
12.1%
5 61
14.4%
6 41
9.7%
7 49
11.6%
8 39
9.2%
9 21
 
5.0%
ValueCountFrequency (%)
33 2
0.5%
28 1
 
0.2%
25 2
0.5%
24 1
 
0.2%
23 2
0.5%
21 2
0.5%
20 1
 
0.2%
19 3
0.7%
18 3
0.7%
17 1
 
0.2%

아동수-만0세
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.751773
Minimum0
Maximum20
Zeros293
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:31.290587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile7
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0442768
Coefficient of variation (CV)1.737826
Kurtosis4.6185695
Mean1.751773
Median Absolute Deviation (MAD)0
Skewness1.9489025
Sum741
Variance9.2676213
MonotonicityNot monotonic
2024-05-11T09:08:31.832248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 293
69.3%
6 57
 
13.5%
3 36
 
8.5%
9 15
 
3.5%
5 10
 
2.4%
2 4
 
0.9%
7 2
 
0.5%
15 2
 
0.5%
20 1
 
0.2%
8 1
 
0.2%
Other values (2) 2
 
0.5%
ValueCountFrequency (%)
0 293
69.3%
2 4
 
0.9%
3 36
 
8.5%
5 10
 
2.4%
6 57
 
13.5%
7 2
 
0.5%
8 1
 
0.2%
9 15
 
3.5%
12 1
 
0.2%
14 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
15 2
 
0.5%
14 1
 
0.2%
12 1
 
0.2%
9 15
 
3.5%
8 1
 
0.2%
7 2
 
0.5%
6 57
13.5%
5 10
 
2.4%
3 36
8.5%

아동수-만1세
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0567376
Minimum0
Maximum29
Zeros234
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:32.399386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile15
Maximum29
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4868732
Coefficient of variation (CV)1.3525334
Kurtosis1.3144443
Mean4.0567376
Median Absolute Deviation (MAD)0
Skewness1.3253756
Sum1716
Variance30.105778
MonotonicityNot monotonic
2024-05-11T09:08:32.867265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 234
55.3%
5 53
 
12.5%
10 49
 
11.6%
15 15
 
3.5%
4 12
 
2.8%
8 11
 
2.6%
14 11
 
2.6%
7 9
 
2.1%
20 7
 
1.7%
9 6
 
1.4%
Other values (9) 16
 
3.8%
ValueCountFrequency (%)
0 234
55.3%
2 1
 
0.2%
3 2
 
0.5%
4 12
 
2.8%
5 53
 
12.5%
6 5
 
1.2%
7 9
 
2.1%
8 11
 
2.6%
9 6
 
1.4%
10 49
 
11.6%
ValueCountFrequency (%)
29 1
 
0.2%
22 2
 
0.5%
20 7
 
1.7%
19 2
 
0.5%
17 1
 
0.2%
15 15
 
3.5%
14 11
 
2.6%
12 1
 
0.2%
11 1
 
0.2%
10 49
11.6%

아동수-만2세
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3546099
Minimum0
Maximum33
Zeros233
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:33.309245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile21
Maximum33
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.3385964
Coefficient of variation (CV)1.3705193
Kurtosis1.4465214
Mean5.3546099
Median Absolute Deviation (MAD)0
Skewness1.394805
Sum2265
Variance53.854996
MonotonicityNot monotonic
2024-05-11T09:08:33.813530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 233
55.1%
7 44
 
10.4%
14 39
 
9.2%
6 26
 
6.1%
13 20
 
4.7%
28 9
 
2.1%
11 6
 
1.4%
12 5
 
1.2%
21 5
 
1.2%
9 4
 
0.9%
Other values (16) 32
 
7.6%
ValueCountFrequency (%)
0 233
55.1%
3 2
 
0.5%
4 4
 
0.9%
5 4
 
0.9%
6 26
 
6.1%
7 44
 
10.4%
8 2
 
0.5%
9 4
 
0.9%
10 2
 
0.5%
11 6
 
1.4%
ValueCountFrequency (%)
33 1
 
0.2%
32 1
 
0.2%
28 9
2.1%
26 2
 
0.5%
24 2
 
0.5%
23 1
 
0.2%
22 2
 
0.5%
21 5
1.2%
20 3
 
0.7%
19 2
 
0.5%

아동수-만3세
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4728132
Minimum0
Maximum37
Zeros351
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:34.306433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1604605
Coefficient of variation (CV)2.4912761
Kurtosis7.5350916
Mean2.4728132
Median Absolute Deviation (MAD)0
Skewness2.7404824
Sum1046
Variance37.951273
MonotonicityNot monotonic
2024-05-11T09:08:34.851785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 351
83.0%
14 11
 
2.6%
15 10
 
2.4%
11 5
 
1.2%
6 4
 
0.9%
20 4
 
0.9%
9 4
 
0.9%
13 4
 
0.9%
12 4
 
0.9%
10 4
 
0.9%
Other values (14) 22
 
5.2%
ValueCountFrequency (%)
0 351
83.0%
4 1
 
0.2%
5 1
 
0.2%
6 4
 
0.9%
7 3
 
0.7%
8 4
 
0.9%
9 4
 
0.9%
10 4
 
0.9%
11 5
 
1.2%
12 4
 
0.9%
ValueCountFrequency (%)
37 1
 
0.2%
30 2
0.5%
29 2
0.5%
27 1
 
0.2%
26 2
0.5%
25 1
 
0.2%
24 1
 
0.2%
23 1
 
0.2%
21 1
 
0.2%
20 4
0.9%

아동수-만4세
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.643026
Minimum0
Maximum36
Zeros381
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:35.296034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4444843
Coefficient of variation (CV)3.3136933
Kurtosis12.681554
Mean1.643026
Median Absolute Deviation (MAD)0
Skewness3.5591591
Sum695
Variance29.64241
MonotonicityNot monotonic
2024-05-11T09:08:35.882955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 381
90.1%
16 4
 
0.9%
12 4
 
0.9%
18 3
 
0.7%
13 3
 
0.7%
17 2
 
0.5%
28 2
 
0.5%
19 2
 
0.5%
5 2
 
0.5%
14 2
 
0.5%
Other values (16) 18
 
4.3%
ValueCountFrequency (%)
0 381
90.1%
3 1
 
0.2%
5 2
 
0.5%
7 1
 
0.2%
8 1
 
0.2%
9 1
 
0.2%
10 1
 
0.2%
11 2
 
0.5%
12 4
 
0.9%
13 3
 
0.7%
ValueCountFrequency (%)
36 1
0.2%
30 1
0.2%
29 1
0.2%
28 2
0.5%
25 1
0.2%
24 1
0.2%
23 1
0.2%
22 1
0.2%
21 1
0.2%
20 2
0.5%

아동수-만5세
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0236407
Minimum0
Maximum40
Zeros371
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:36.401328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9356269
Coefficient of variation (CV)2.9331428
Kurtosis10.019411
Mean2.0236407
Median Absolute Deviation (MAD)0
Skewness3.1270469
Sum856
Variance35.231667
MonotonicityNot monotonic
2024-05-11T09:08:36.853073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 371
87.7%
20 7
 
1.7%
17 7
 
1.7%
14 6
 
1.4%
19 4
 
0.9%
12 3
 
0.7%
24 3
 
0.7%
8 3
 
0.7%
16 3
 
0.7%
11 2
 
0.5%
Other values (10) 14
 
3.3%
ValueCountFrequency (%)
0 371
87.7%
2 2
 
0.5%
4 1
 
0.2%
8 3
 
0.7%
9 2
 
0.5%
11 2
 
0.5%
12 3
 
0.7%
13 1
 
0.2%
14 6
 
1.4%
15 2
 
0.5%
ValueCountFrequency (%)
40 1
 
0.2%
35 1
 
0.2%
29 1
 
0.2%
26 1
 
0.2%
24 3
0.7%
20 7
1.7%
19 4
0.9%
18 2
 
0.5%
17 7
1.7%
16 3
0.7%

아동수-영아혼합(만0~2세)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0283688
Minimum0
Maximum19
Zeros349
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:37.292860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5199016
Coefficient of variation (CV)2.4503871
Kurtosis8.8962133
Mean1.0283688
Median Absolute Deviation (MAD)0
Skewness2.7694056
Sum435
Variance6.3499042
MonotonicityNot monotonic
2024-05-11T09:08:37.824347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 349
82.5%
8 18
 
4.3%
5 18
 
4.3%
3 13
 
3.1%
6 7
 
1.7%
4 5
 
1.2%
2 3
 
0.7%
10 2
 
0.5%
11 2
 
0.5%
7 2
 
0.5%
Other values (3) 4
 
0.9%
ValueCountFrequency (%)
0 349
82.5%
1 1
 
0.2%
2 3
 
0.7%
3 13
 
3.1%
4 5
 
1.2%
5 18
 
4.3%
6 7
 
1.7%
7 2
 
0.5%
8 18
 
4.3%
9 2
 
0.5%
ValueCountFrequency (%)
19 1
 
0.2%
11 2
 
0.5%
10 2
 
0.5%
9 2
 
0.5%
8 18
4.3%
7 2
 
0.5%
6 7
 
1.7%
5 18
4.3%
4 5
 
1.2%
3 13
3.1%

아동수-유아혼합(만3~5세)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0969267
Minimum0
Maximum41
Zeros361
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:38.438405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8938127
Coefficient of variation (CV)2.8106908
Kurtosis12.247661
Mean2.0969267
Median Absolute Deviation (MAD)0
Skewness3.3162135
Sum887
Variance34.737028
MonotonicityNot monotonic
2024-05-11T09:08:39.022136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 361
85.3%
14 9
 
2.1%
5 6
 
1.4%
15 6
 
1.4%
10 3
 
0.7%
19 3
 
0.7%
7 3
 
0.7%
9 3
 
0.7%
13 3
 
0.7%
18 2
 
0.5%
Other values (16) 24
 
5.7%
ValueCountFrequency (%)
0 361
85.3%
3 1
 
0.2%
4 2
 
0.5%
5 6
 
1.4%
6 1
 
0.2%
7 3
 
0.7%
8 2
 
0.5%
9 3
 
0.7%
10 3
 
0.7%
11 2
 
0.5%
ValueCountFrequency (%)
41 1
 
0.2%
38 1
 
0.2%
32 1
 
0.2%
29 1
 
0.2%
26 2
0.5%
23 1
 
0.2%
22 2
0.5%
21 1
 
0.2%
20 2
0.5%
19 3
0.7%

아동수-특수장애
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12765957
Minimum0
Maximum14
Zeros414
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:39.516594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0200669
Coefficient of variation (CV)7.9905239
Kurtosis110.44904
Mean0.12765957
Median Absolute Deviation (MAD)0
Skewness9.916893
Sum54
Variance1.0405365
MonotonicityNot monotonic
2024-05-11T09:08:39.850581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 414
97.9%
3 4
 
0.9%
9 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%
14 1
 
0.2%
ValueCountFrequency (%)
0 414
97.9%
3 4
 
0.9%
4 1
 
0.2%
6 1
 
0.2%
9 2
 
0.5%
14 1
 
0.2%
ValueCountFrequency (%)
14 1
 
0.2%
9 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%
3 4
 
0.9%
0 414
97.9%

아동수-총계
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.555556
Minimum0
Maximum144
Zeros200
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:40.368944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q328
95-th percentile78.9
Maximum144
Range144
Interquartile range (IQR)28

Descriptive statistics

Standard deviation28.913519
Coefficient of variation (CV)1.4066036
Kurtosis3.5396465
Mean20.555556
Median Absolute Deviation (MAD)12
Skewness1.8644485
Sum8695
Variance835.99157
MonotonicityNot monotonic
2024-05-11T09:08:40.992221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 200
47.3%
20 20
 
4.7%
18 17
 
4.0%
19 15
 
3.5%
17 12
 
2.8%
16 9
 
2.1%
15 7
 
1.7%
30 6
 
1.4%
28 5
 
1.2%
42 5
 
1.2%
Other values (69) 127
30.0%
ValueCountFrequency (%)
0 200
47.3%
7 2
 
0.5%
8 3
 
0.7%
9 1
 
0.2%
10 4
 
0.9%
12 2
 
0.5%
13 2
 
0.5%
15 7
 
1.7%
16 9
 
2.1%
17 12
 
2.8%
ValueCountFrequency (%)
144 1
0.2%
137 1
0.2%
134 2
0.5%
129 1
0.2%
127 1
0.2%
124 1
0.2%
120 1
0.2%
119 1
0.2%
117 1
0.2%
113 1
0.2%

근속년수-1년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)22.8%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean45.092105
Minimum0
Maximum100
Zeros17
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:41.546331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median46
Q361.25
95-th percentile86
Maximum100
Range100
Interquartile range (IQR)32.25

Descriptive statistics

Standard deviation24.48546
Coefficient of variation (CV)0.5430099
Kurtosis-0.37838228
Mean45.092105
Median Absolute Deviation (MAD)17
Skewness0.10081005
Sum10281
Variance599.53773
MonotonicityNot monotonic
2024-05-11T09:08:42.211942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 26
 
6.1%
0 17
 
4.0%
67 15
 
3.5%
29 12
 
2.8%
43 12
 
2.8%
33 11
 
2.6%
20 8
 
1.9%
100 8
 
1.9%
80 7
 
1.7%
40 7
 
1.7%
Other values (42) 105
24.8%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 17
4.0%
10 2
 
0.5%
11 2
 
0.5%
13 2
 
0.5%
14 4
 
0.9%
17 5
 
1.2%
18 1
 
0.2%
19 1
 
0.2%
20 8
1.9%
22 2
 
0.5%
ValueCountFrequency (%)
100 8
1.9%
92 1
 
0.2%
90 1
 
0.2%
86 4
0.9%
83 1
 
0.2%
80 7
1.7%
78 1
 
0.2%
77 1
 
0.2%
76 2
 
0.5%
75 3
 
0.7%

근속년수-1년이상~2년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)15.4%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean13.276316
Minimum0
Maximum89
Zeros84
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:42.686841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q320
95-th percentile40
Maximum89
Range89
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.959209
Coefficient of variation (CV)1.1267591
Kurtosis4.0903965
Mean13.276316
Median Absolute Deviation (MAD)11
Skewness1.6790386
Sum3027
Variance223.77794
MonotonicityNot monotonic
2024-05-11T09:08:43.108520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 84
19.9%
14 21
 
5.0%
20 15
 
3.5%
17 15
 
3.5%
25 10
 
2.4%
10 7
 
1.7%
11 7
 
1.7%
33 6
 
1.4%
13 6
 
1.4%
22 6
 
1.4%
Other values (25) 51
 
12.1%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 84
19.9%
4 1
 
0.2%
5 5
 
1.2%
6 2
 
0.5%
7 2
 
0.5%
8 4
 
0.9%
9 4
 
0.9%
10 7
 
1.7%
11 7
 
1.7%
13 6
 
1.4%
ValueCountFrequency (%)
89 1
 
0.2%
73 1
 
0.2%
64 1
 
0.2%
60 1
 
0.2%
56 1
 
0.2%
55 2
 
0.5%
50 2
 
0.5%
46 1
 
0.2%
43 1
 
0.2%
40 5
1.2%

근속년수-2년이상~4년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)18.0%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean19.175439
Minimum0
Maximum100
Zeros61
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:43.604834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q327
95-th percentile55.3
Maximum100
Range100
Interquartile range (IQR)27

Descriptive statistics

Standard deviation17.777254
Coefficient of variation (CV)0.92708461
Kurtosis2.6362455
Mean19.175439
Median Absolute Deviation (MAD)12
Skewness1.3348506
Sum4372
Variance316.03076
MonotonicityNot monotonic
2024-05-11T09:08:44.077725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 61
 
14.4%
20 25
 
5.9%
17 20
 
4.7%
14 16
 
3.8%
29 12
 
2.8%
33 11
 
2.6%
25 8
 
1.9%
22 6
 
1.4%
13 6
 
1.4%
40 5
 
1.2%
Other values (31) 58
 
13.7%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 61
14.4%
6 1
 
0.2%
7 1
 
0.2%
8 2
 
0.5%
9 3
 
0.7%
10 5
 
1.2%
11 1
 
0.2%
13 6
 
1.4%
14 16
 
3.8%
15 1
 
0.2%
ValueCountFrequency (%)
100 1
 
0.2%
83 1
 
0.2%
80 1
 
0.2%
71 1
 
0.2%
67 3
0.7%
60 3
0.7%
57 1
 
0.2%
56 1
 
0.2%
54 1
 
0.2%
50 4
0.9%

근속년수-4년이상~6년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)11.8%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean10.473684
Minimum0
Maximum60
Zeros116
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:44.511855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile43
Maximum60
Range60
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.170585
Coefficient of variation (CV)1.3529704
Kurtosis1.6003448
Mean10.473684
Median Absolute Deviation (MAD)0
Skewness1.4782842
Sum2388
Variance200.80547
MonotonicityNot monotonic
2024-05-11T09:08:44.955031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 116
27.4%
14 16
 
3.8%
20 14
 
3.3%
17 13
 
3.1%
50 8
 
1.9%
10 7
 
1.7%
29 6
 
1.4%
25 5
 
1.2%
11 5
 
1.2%
38 4
 
0.9%
Other values (17) 34
 
8.0%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 116
27.4%
3 1
 
0.2%
4 2
 
0.5%
5 2
 
0.5%
7 2
 
0.5%
8 4
 
0.9%
9 3
 
0.7%
10 7
 
1.7%
11 5
 
1.2%
12 1
 
0.2%
ValueCountFrequency (%)
60 1
 
0.2%
56 1
 
0.2%
50 8
1.9%
47 1
 
0.2%
43 3
 
0.7%
40 1
 
0.2%
38 4
0.9%
33 3
 
0.7%
29 6
1.4%
27 1
 
0.2%

근속년수-6년이상
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)14.0%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean12.135965
Minimum0
Maximum100
Zeros126
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:45.420267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319.25
95-th percentile43.65
Maximum100
Range100
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation19.441858
Coefficient of variation (CV)1.6020035
Kurtosis6.9499982
Mean12.135965
Median Absolute Deviation (MAD)0
Skewness2.4048296
Sum2767
Variance377.98584
MonotonicityNot monotonic
2024-05-11T09:08:45.923917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 126
29.8%
20 13
 
3.1%
17 12
 
2.8%
33 10
 
2.4%
14 8
 
1.9%
29 7
 
1.7%
40 5
 
1.2%
10 5
 
1.2%
8 4
 
0.9%
100 4
 
0.9%
Other values (22) 34
 
8.0%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 126
29.8%
5 2
 
0.5%
7 1
 
0.2%
8 4
 
0.9%
9 3
 
0.7%
10 5
 
1.2%
11 3
 
0.7%
12 1
 
0.2%
13 3
 
0.7%
14 8
 
1.9%
ValueCountFrequency (%)
100 4
0.9%
80 1
 
0.2%
75 1
 
0.2%
71 1
 
0.2%
60 1
 
0.2%
57 2
0.5%
56 1
 
0.2%
44 1
 
0.2%
43 1
 
0.2%
41 1
 
0.2%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
1
225 
<NA>
195 
0
 
3

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 225
53.2%
<NA> 195
46.1%
0 3
 
0.7%

Length

2024-05-11T09:08:46.373400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:46.745924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 225
53.2%
na 195
46.1%
0 3
 
0.7%

교직원현황-보육교사
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)14.5%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean9.1096491
Minimum0
Maximum40
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:47.527884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q311
95-th percentile22
Maximum40
Range40
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.8257929
Coefficient of variation (CV)0.74929262
Kurtosis5.4781967
Mean9.1096491
Median Absolute Deviation (MAD)3
Skewness2.1772193
Sum2077
Variance46.591448
MonotonicityNot monotonic
2024-05-11T09:08:48.143972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 33
 
7.8%
5 33
 
7.8%
4 31
 
7.3%
6 20
 
4.7%
10 15
 
3.5%
11 13
 
3.1%
9 13
 
3.1%
8 11
 
2.6%
3 8
 
1.9%
13 5
 
1.2%
Other values (23) 46
 
10.9%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 1
 
0.2%
1 4
 
0.9%
2 1
 
0.2%
3 8
 
1.9%
4 31
7.3%
5 33
7.8%
6 20
4.7%
7 33
7.8%
8 11
 
2.6%
9 13
 
3.1%
ValueCountFrequency (%)
40 2
0.5%
36 1
0.2%
34 1
0.2%
32 1
0.2%
31 1
0.2%
30 1
0.2%
28 1
0.2%
27 1
0.2%
26 1
0.2%
23 1
0.2%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
225 
<NA>
195 
1
 
3

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 225
53.2%
<NA> 195
46.1%
1 3
 
0.7%

Length

2024-05-11T09:08:48.785402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:49.160999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 225
53.2%
na 195
46.1%
1 3
 
0.7%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
228 
<NA>
195 

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 228
53.9%
<NA> 195
46.1%

Length

2024-05-11T09:08:49.605250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:50.019862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 228
53.9%
na 195
46.1%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
205 
<NA>
195 
1
23 

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 205
48.5%
<NA> 195
46.1%
1 23
 
5.4%

Length

2024-05-11T09:08:50.451469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:50.946229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 205
48.5%
na 195
46.1%
1 23
 
5.4%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
218 
<NA>
195 
1
 
10

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 218
51.5%
<NA> 195
46.1%
1 10
 
2.4%

Length

2024-05-11T09:08:51.539374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:51.935752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 218
51.5%
na 195
46.1%
1 10
 
2.4%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
222 
<NA>
195 
1
 
6

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 222
52.5%
<NA> 195
46.1%
1 6
 
1.4%

Length

2024-05-11T09:08:52.446027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:52.826107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 222
52.5%
na 195
46.1%
1 6
 
1.4%

교직원현황-조리원
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.6%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean0.87280702
Minimum0
Maximum5
Zeros85
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:53.154984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2.65
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89863186
Coefficient of variation (CV)1.0295883
Kurtosis2.743388
Mean0.87280702
Median Absolute Deviation (MAD)1
Skewness1.3560195
Sum199
Variance0.80753922
MonotonicityNot monotonic
2024-05-11T09:08:53.517491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 104
24.6%
0 85
20.1%
2 27
 
6.4%
3 8
 
1.9%
4 3
 
0.7%
5 1
 
0.2%
(Missing) 195
46.1%
ValueCountFrequency (%)
0 85
20.1%
1 104
24.6%
2 27
 
6.4%
3 8
 
1.9%
4 3
 
0.7%
5 1
 
0.2%
ValueCountFrequency (%)
5 1
 
0.2%
4 3
 
0.7%
3 8
 
1.9%
2 27
 
6.4%
1 104
24.6%
0 85
20.1%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
0
212 
<NA>
195 
1
 
16

Length

Max length4
Median length1
Mean length2.3829787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 212
50.1%
<NA> 195
46.1%
1 16
 
3.8%

Length

2024-05-11T09:08:53.911284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:54.252851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 212
50.1%
na 195
46.1%
1 16
 
3.8%

교직원현황-총계
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)16.2%
Missing195
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean12.236842
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-05-11T09:08:54.611161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median10
Q314
95-th percentile29.65
Maximum53
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.7900651
Coefficient of variation (CV)0.7183279
Kurtosis5.8708438
Mean12.236842
Median Absolute Deviation (MAD)3
Skewness2.2887351
Sum2790
Variance77.265245
MonotonicityNot monotonic
2024-05-11T09:08:55.049803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 30
 
7.1%
7 28
 
6.6%
9 23
 
5.4%
10 20
 
4.7%
8 17
 
4.0%
12 15
 
3.5%
13 12
 
2.8%
14 11
 
2.6%
11 10
 
2.4%
5 7
 
1.7%
Other values (27) 55
 
13.0%
(Missing) 195
46.1%
ValueCountFrequency (%)
1 4
 
0.9%
3 2
 
0.5%
4 2
 
0.5%
5 7
 
1.7%
6 30
7.1%
7 28
6.6%
8 17
4.0%
9 23
5.4%
10 20
4.7%
11 10
 
2.4%
ValueCountFrequency (%)
53 1
0.2%
49 1
0.2%
47 1
0.2%
45 1
0.2%
43 2
0.5%
40 2
0.5%
38 1
0.2%
33 1
0.2%
31 1
0.2%
30 1
0.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2022-10-26 22:04:35.0
226 
2022-10-26 22:04:36.0
197 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-26 22:04:35.0
2nd row2022-10-26 22:04:35.0
3rd row2022-10-26 22:04:35.0
4th row2022-10-26 22:04:36.0
5th row2022-10-26 22:04:36.0

Common Values

ValueCountFrequency (%)
2022-10-26 22:04:35.0 226
53.4%
2022-10-26 22:04:36.0 197
46.6%

Length

2024-05-11T09:08:55.455875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:08:55.859273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-26 423
50.0%
22:04:35.0 226
26.7%
22:04:36.0 197
23.3%

Sample

시군구명어린이집코드어린이집명어린이집유형운영현황우편번호상세주소전화번호팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV총설치수보육교직원수정원현원시설 위도(좌표값)시설 경도(좌표값)통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자데이터기준일자제공서비스반수-만0세반수-만1세반수-만2세반수-만3세반수-만4세반수-만5세반수-영아혼합(만0~2세)반수-유아혼합(만3~5세)반수-특수장애반수-총계아동수-만0세아동수-만1세아동수-만2세아동수-만3세아동수-만4세아동수-만5세아동수-영아혼합(만0~2세)아동수-유아혼합(만3~5세)아동수-특수장애아동수-총계근속년수-1년미만근속년수-1년이상~2년미만근속년수-2년이상~4년미만근속년수-4년이상~6년미만근속년수-6년이상교직원현황-원장교직원현황-보육교사교직원현황-특수교사교직원현황-치료교사교직원현황-영양사교직원현황-간호사교직원현황-간호조무사교직원현황-조리원교직원현황-사무직원교직원현황-총계데이터수집일
0영등포구11560000498삼환어린이집국공립정상7227서울특별시 영등포구 영중로 145 영등포삼환아파트 104동 101호02-2679-5967<NA><NA>360047201837.529653126.904724미운영2022-10-01<NA><NA><NA>2022-10-26일반212000000564800000018100000015000001072022-10-26 22:04:35.0
1영등포구11560000497LG 에너지솔루션 지정 어린이집직장정상7335서울특별시 영등포구 여의대로 108 파크원빌딩 3층02-2118-070002-2118-0702<NA>9375142431086237.526592126.927348<NA>2022-08-24<NA><NA><NA>2022-10-26일반1065210000242012187500006210000001340011031432022-10-26 22:04:35.0
2영등포구11560000496신길더샵해늘어린이집국공립정상7361서울특별시 영등포구 가마산로79길 37 관리동02-6205-0707<NA><NA>41270011453537.56647126.977963<NA>2022-07-01<NA><NA><NA>2022-10-26야간연장222100000761014500000351000000180000010112022-10-26 22:04:35.0
3영등포구11560000487코스콤푸르니어린이집직장정상7330서울특별시 영등포구 여의나루로4길 21 2층02-761-988102-761-9882www.puruni.com732231814802837.56647126.977963미운영2022-02-23<NA><NA><NA>2022-10-26일반03211100080878320002810000001100000020142022-10-26 22:04:36.0
4영등포구11560000494탁트인 맘스가든국공립정상7347서울특별시 영등포구 신길로 204 2층02-833-6022<NA><NA>038300000<NA><NA><NA>2021-10-01<NA><NA><NA>2022-10-26시간제보육00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:04:36.0
5영등포구11560000493맘든든센터 공동육아방 6호점국공립정상7377서울특별시 영등포구 도신로4길 20 1층02-833-6022<NA><NA>018000000<NA><NA><NA>2021-06-22<NA><NA><NA>2022-10-26시간제보육00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:04:35.0
6영등포구11560000486라온어린이집국공립정상7440서울특별시 영등포구 신길로 2902-842-9376<NA><NA>49701613353537.493814126.902344미운영2021-03-24<NA><NA><NA>2022-10-26일반332000000861514000000351000000190000010132022-10-26 22:04:35.0
7영등포구11560000485KB여의도어린이집직장정상7331서울특별시 영등포구 국제금융로8길 26 1층02-6332-505102-6332-5052http://www.puruni.com/kbyeouido416011614493137.520849126.927902미운영2021-02-24<NA><NA><NA>2022-10-26일반032000040908900001403136640001110000020142022-10-26 22:04:35.0
8영등포구11560000492맘든든센터 공동육아방 5호점국공립정상7295서울특별시 영등포구 문래로20길 60 602호02-833-6022<NA><NA>010200000<NA><NA><NA>2021-02-04<NA><NA><NA>2022-10-26시간제보육00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:04:35.0
9영등포구11560000483신길파크자이솔숲어린이집국공립정상7389서울특별시 영등포구 신길로28길 2502-6269-190002-6269-1906<NA>37701511292937.502567126.912948미운영2020-12-04<NA><NA><NA>2022-10-26일반32200000076914000000294456000190000010112022-10-26 22:04:35.0
시군구명어린이집코드어린이집명어린이집유형운영현황우편번호상세주소전화번호팩스번호홈페이지주소보육실수보육실 면적놀이터수CCTV총설치수보육교직원수정원현원시설 위도(좌표값)시설 경도(좌표값)통학차량운영여부인가일자휴지시작일자휴지종료일자폐지일자데이터기준일자제공서비스반수-만0세반수-만1세반수-만2세반수-만3세반수-만4세반수-만5세반수-영아혼합(만0~2세)반수-유아혼합(만3~5세)반수-특수장애반수-총계아동수-만0세아동수-만1세아동수-만2세아동수-만3세아동수-만4세아동수-만5세아동수-영아혼합(만0~2세)아동수-유아혼합(만3~5세)아동수-특수장애아동수-총계근속년수-1년미만근속년수-1년이상~2년미만근속년수-2년이상~4년미만근속년수-4년이상~6년미만근속년수-6년이상교직원현황-원장교직원현황-보육교사교직원현황-특수교사교직원현황-치료교사교직원현황-영양사교직원현황-간호사교직원현황-간호조무사교직원현황-조리원교직원현황-사무직원교직원현황-총계데이터수집일
413영등포구11560000037양평3가어린이집국공립정상7270서울특별시 영등포구 선유서로34길 10 (양평동3가)02-2678-833602-2677-6797khky3@naver.com926431621998737.526851126.887357미운영1989-06-20<NA><NA><NA>2022-10-26야간연장3222110001191014201420000871862412411170000020212022-10-26 22:04:36.0
414영등포구11560000027대림3동어린이집국공립폐지7415서울특별시 영등포구 도림로31길 14-102-844-005002-848-1059<NA>429317064037.493661126.895533미운영1989-06-02<NA><NA>2018-02-282022-10-26야간연장02210001060000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:04:35.0
415영등포구11560000030늘푸른 어린이집민간폐지150853서울 영등포구 신길1동 459-5000--229802-846-2267nilpurun.co.kr00000390<NA><NA><NA>1988-11-07<NA><NA>2008-09-082022-10-26일반00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:04:35.0
416영등포구11560000022하정어린이집국공립정상7359서울특별시 영등포구 여의대방로43나길 6 (신길동)02-841-595902-842-5297<NA>730813214877737.506003126.922238미운영1988-09-01<NA><NA><NA>2022-10-26장애아통합,야간연장0221110018010131418190037755927901110000010142022-10-26 22:04:36.0
417영등포구11560000016영삼어린이집국공립정상7251서울특별시 영등포구 영등포로35길 13 (영등포동6가)02-2634-785902-2631-3834http://03song.ukid.kr41971913454337.521326126.904162미운영1988-03-02<NA><NA><NA>2022-10-26장애아통합,야간연장1220000117310130000143436010010201100000010132022-10-26 22:04:36.0
418영등포구11560000038양평동교회어린이집사회복지법인폐지7206서울특별시 영등포구 양평로20길 11 (양평동4가)02-2631-961002-2632-1931moying203@hanmail.net412525044037.538097126.895819미운영1987-03-03<NA><NA>2022-02-282022-10-26야간연장01200000030000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:04:36.0
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420영등포구11560000032양평1동 어린이집국공립정상7272서울특별시 영등포구 양평동1가 선유서로24길 21 양평1동어린이집02-2677-778102-2632-8500<NA>42321511595437.523625126.888382미운영1985-08-01<NA><NA><NA>2022-10-26야간연장01210001050514150002005463025013180000010112022-10-26 22:04:36.0
421영등포구11560000020대림1동어린이집국공립정상7428서울특별시 영등포구 디지털로 441 (대림동)02-845-058902-833-5901<NA>412011210594837.495484126.905946미운영1984-04-06<NA><NA><NA>2022-10-26야간연장02210002070101410000140482513251325180000010102022-10-26 22:04:35.0
422영등포구11560000015양평2동어린이집국공립정상7206서울특별시 영등포구 선유로53길 20-7 (양평동4가)02-2634-738302-2634-7364<NA>42171712645237.538095126.896406미운영1982-03-01<NA><NA><NA>2022-10-26야간연장022110010701014140001405267112200190000010122022-10-26 22:04:36.0