Overview

Dataset statistics

Number of variables62
Number of observations359
Missing cells2600
Missing cells (%)11.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory190.1 KiB
Average record size in memory542.4 B

Variable types

Categorical14
Numeric37
Text5
DateTime6

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-20323/S/1/datasetView.do

Alerts

시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공서비스 is highly imbalanced (60.8%)Imbalance
반수-만4세 is highly imbalanced (70.5%)Imbalance
교직원현황-특수교사 is highly imbalanced (53.3%)Imbalance
팩스번호 has 109 (30.4%) missing valuesMissing
홈페이지주소 has 257 (71.6%) missing valuesMissing
시설 위도(좌표값) has 42 (11.7%) missing valuesMissing
시설 경도(좌표값) has 42 (11.7%) missing valuesMissing
인가일자 has 5 (1.4%) missing valuesMissing
휴지시작일자 has 354 (98.6%) missing valuesMissing
휴지종료일자 has 355 (98.9%) missing valuesMissing
폐지일자 has 194 (54.0%) missing valuesMissing
근속년수-1년미만 has 178 (49.6%) missing valuesMissing
근속년수-1년이상~2년미만 has 178 (49.6%) missing valuesMissing
근속년수-2년이상~4년미만 has 178 (49.6%) missing valuesMissing
근속년수-4년이상~6년미만 has 178 (49.6%) missing valuesMissing
근속년수-6년이상 has 178 (49.6%) missing valuesMissing
교직원현황-보육교사 has 176 (49.0%) missing valuesMissing
교직원현황-총계 has 176 (49.0%) missing valuesMissing
어린이집코드 has unique valuesUnique
보육실수 has 24 (6.7%) zerosZeros
보육실 면적 has 14 (3.9%) zerosZeros
놀이터수 has 170 (47.4%) zerosZeros
CCTV총설치수 has 83 (23.1%) zerosZeros
보육교직원수 has 176 (49.0%) zerosZeros
정원 has 12 (3.3%) zerosZeros
현원 has 179 (49.9%) zerosZeros
반수-만0세 has 162 (45.1%) zerosZeros
반수-만1세 has 100 (27.9%) zerosZeros
반수-만2세 has 91 (25.3%) zerosZeros
반수-만3세 has 250 (69.6%) zerosZeros
반수-만5세 has 317 (88.3%) zerosZeros
반수-영아혼합(만0~2세) has 159 (44.3%) zerosZeros
반수-유아혼합(만3~5세) has 243 (67.7%) zerosZeros
반수-특수장애 has 343 (95.5%) zerosZeros
반수-총계 has 36 (10.0%) zerosZeros
아동수-만0세 has 253 (70.5%) zerosZeros
아동수-만1세 has 217 (60.4%) zerosZeros
아동수-만2세 has 211 (58.8%) zerosZeros
아동수-만3세 has 294 (81.9%) zerosZeros
아동수-만4세 has 333 (92.8%) zerosZeros
아동수-만5세 has 332 (92.5%) zerosZeros
아동수-영아혼합(만0~2세) has 292 (81.3%) zerosZeros
아동수-유아혼합(만3~5세) has 291 (81.1%) zerosZeros
아동수-특수장애 has 345 (96.1%) zerosZeros
아동수-총계 has 179 (49.9%) zerosZeros
근속년수-1년미만 has 5 (1.4%) zerosZeros
근속년수-1년이상~2년미만 has 79 (22.0%) zerosZeros
근속년수-2년이상~4년미만 has 52 (14.5%) zerosZeros
근속년수-4년이상~6년미만 has 83 (23.1%) zerosZeros
근속년수-6년이상 has 88 (24.5%) zerosZeros

Reproduction

Analysis started2024-05-11 08:24:35.643624
Analysis finished2024-05-11 08:24:36.404244
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
강남구
359 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구 359
100.0%

Length

2024-05-11T17:24:36.472612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:36.603253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구 359
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct359
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.168 × 1010
Minimum1.168 × 1010
Maximum1.1680001 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:36.723791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.168 × 1010
5-th percentile1.168 × 1010
Q11.168 × 1010
median1.168 × 1010
Q31.168 × 1010
95-th percentile1.168 × 1010
Maximum1.1680001 × 1010
Range511
Interquartile range (IQR)320

Descriptive statistics

Standard deviation168.09212
Coefficient of variation (CV)1.4391449 × 10-8
Kurtosis-1.5730332
Mean1.168 × 1010
Median Absolute Deviation (MAD)162
Skewness-0.03698651
Sum4.1931201 × 1012
Variance28254.962
MonotonicityNot monotonic
2024-05-11T17:24:36.892656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11680000513 1
 
0.3%
11680000098 1
 
0.3%
11680000060 1
 
0.3%
11680000085 1
 
0.3%
11680000017 1
 
0.3%
11680000076 1
 
0.3%
11680000177 1
 
0.3%
11680000162 1
 
0.3%
11680000105 1
 
0.3%
11680000032 1
 
0.3%
Other values (349) 349
97.2%
ValueCountFrequency (%)
11680000002 1
0.3%
11680000005 1
0.3%
11680000006 1
0.3%
11680000007 1
0.3%
11680000008 1
0.3%
11680000009 1
0.3%
11680000010 1
0.3%
11680000011 1
0.3%
11680000012 1
0.3%
11680000013 1
0.3%
ValueCountFrequency (%)
11680000513 1
0.3%
11680000512 1
0.3%
11680000511 1
0.3%
11680000510 1
0.3%
11680000509 1
0.3%
11680000508 1
0.3%
11680000507 1
0.3%
11680000506 1
0.3%
11680000505 1
0.3%
11680000504 1
0.3%
Distinct350
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T17:24:37.140217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.0835655
Min length2

Characters and Unicode

Total characters2902
Distinct characters302
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

Unique341 ?
Unique (%)95.0%

Sample

1st row케이티앤지 어린이집
2nd row강남데시앙포레어린이집
3rd row래미안라클래시어린이집
4th row크래프톤 역삼 어린이집
5th row현대백화점 직장어린이집
ValueCountFrequency (%)
어린이집 51
 
11.7%
직장어린이집 3
 
0.7%
새나라어린이집 2
 
0.5%
포스코 2
 
0.5%
강남어린이집 2
 
0.5%
아이월드놀이방 2
 
0.5%
강남구육아종합지원센터 2
 
0.5%
대치어린이집 2
 
0.5%
도토리소풍넥슨 2
 
0.5%
현대오토에버 2
 
0.5%
Other values (358) 365
83.9%
2024-05-11T17:24:37.514203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
 
13.5%
348
 
12.0%
347
 
12.0%
344
 
11.9%
76
 
2.6%
50
 
1.7%
32
 
1.1%
27
 
0.9%
27
 
0.9%
24
 
0.8%
Other values (292) 1234
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2786
96.0%
Space Separator 76
 
2.6%
Uppercase Letter 16
 
0.6%
Lowercase Letter 9
 
0.3%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Decimal Number 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
393
 
14.1%
348
 
12.5%
347
 
12.5%
344
 
12.3%
50
 
1.8%
32
 
1.1%
27
 
1.0%
27
 
1.0%
24
 
0.9%
23
 
0.8%
Other values (270) 1171
42.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
G 3
18.8%
L 3
18.8%
K 3
18.8%
D 1
 
6.2%
H 1
 
6.2%
B 1
 
6.2%
I 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
u 1
11.1%
d 1
11.1%
s 1
11.1%
e 1
11.1%
c 1
11.1%
o 1
11.1%
k 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2786
96.0%
Common 91
 
3.1%
Latin 25
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
393
 
14.1%
348
 
12.5%
347
 
12.5%
344
 
12.3%
50
 
1.8%
32
 
1.1%
27
 
1.0%
27
 
1.0%
24
 
0.9%
23
 
0.8%
Other values (270) 1171
42.0%
Latin
ValueCountFrequency (%)
S 3
12.0%
G 3
12.0%
L 3
12.0%
K 3
12.0%
i 2
 
8.0%
D 1
 
4.0%
u 1
 
4.0%
d 1
 
4.0%
s 1
 
4.0%
H 1
 
4.0%
Other values (6) 6
24.0%
Common
ValueCountFrequency (%)
76
83.5%
( 5
 
5.5%
) 5
 
5.5%
2 3
 
3.3%
1 1
 
1.1%
! 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2786
96.0%
ASCII 116
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
393
 
14.1%
348
 
12.5%
347
 
12.5%
344
 
12.3%
50
 
1.8%
32
 
1.1%
27
 
1.0%
27
 
1.0%
24
 
0.9%
23
 
0.8%
Other values (270) 1171
42.0%
ASCII
ValueCountFrequency (%)
76
65.5%
( 5
 
4.3%
) 5
 
4.3%
2 3
 
2.6%
S 3
 
2.6%
G 3
 
2.6%
L 3
 
2.6%
K 3
 
2.6%
i 2
 
1.7%
D 1
 
0.9%
Other values (12) 12
 
10.3%
Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
가정
128 
민간
107 
국공립
73 
직장
49 
법인?단체등
 
1

Length

Max length6
Median length2
Mean length2.2144847
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
가정 128
35.7%
민간 107
29.8%
국공립 73
20.3%
직장 49
 
13.6%
법인?단체등 1
 
0.3%
협동 1
 
0.3%

Length

2024-05-11T17:24:37.667248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:37.799661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 128
35.7%
민간 107
29.8%
국공립 73
20.3%
직장 49
 
13.6%
법인?단체등 1
 
0.3%
협동 1
 
0.3%

운영현황
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
정상
186 
폐지
165 
휴지
 
5
재개
 
3

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 186
51.8%
폐지 165
46.0%
휴지 5
 
1.4%
재개 3
 
0.8%

Length

2024-05-11T17:24:37.929987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:38.036952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 186
51.8%
폐지 165
46.0%
휴지 5
 
1.4%
재개 3
 
0.8%

우편번호
Real number (ℝ)

Distinct201
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23550.457
Minimum6001
Maximum135969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:38.170608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6001
5-th percentile6049.3
Q16188.5
median6321
Q36366
95-th percentile135877.3
Maximum135969
Range129968
Interquartile range (IQR)177.5

Descriptive statistics

Standard deviation44088.312
Coefficient of variation (CV)1.8720788
Kurtosis2.6876474
Mean23550.457
Median Absolute Deviation (MAD)56
Skewness2.1616151
Sum8454614
Variance1.9437792 × 109
MonotonicityNot monotonic
2024-05-11T17:24:38.339531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6330 10
 
2.8%
6366 9
 
2.5%
6370 9
 
2.5%
6375 8
 
2.2%
6365 8
 
2.2%
6362 7
 
1.9%
6341 6
 
1.7%
6372 6
 
1.7%
6090 5
 
1.4%
6339 5
 
1.4%
Other values (191) 286
79.7%
ValueCountFrequency (%)
6001 1
0.3%
6006 1
0.3%
6012 2
0.6%
6015 1
0.3%
6017 1
0.3%
6020 1
0.3%
6021 1
0.3%
6024 1
0.3%
6025 2
0.6%
6029 1
0.3%
ValueCountFrequency (%)
135969 1
0.3%
135968 1
0.3%
135967 1
0.3%
135965 1
0.3%
135963 2
0.6%
135962 1
0.3%
135957 1
0.3%
135955 1
0.3%
135950 1
0.3%
135945 1
0.3%
Distinct355
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T17:24:38.606644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length29.874652
Min length10

Characters and Unicode

Total characters10725
Distinct characters235
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

Unique352 ?
Unique (%)98.1%

Sample

1st row서울특별시 강남구 영동대로 416 케이티앤지타워 1층
2nd row서울특별시 강남구 광평로34길 55 강남데시앙포레 아파트 키즈센터1층
3rd row서울특별시 강남구 삼성로 651
4th row서울특별시 강남구 논현로99길 21
5th row서울특별시 강남구 테헤란로98길 12 3층(대치동,현대백화점 본사)
ValueCountFrequency (%)
강남구 362
 
17.6%
서울특별시 323
 
15.7%
서울 38
 
1.8%
관리동 36
 
1.7%
개포로 22
 
1.1%
1층 19
 
0.9%
자곡로 19
 
0.9%
21 17
 
0.8%
개포동 17
 
0.8%
헌릉로590길 16
 
0.8%
Other values (653) 1192
57.8%
2024-05-11T17:24:38.994259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1705
 
15.9%
1 578
 
5.4%
395
 
3.7%
392
 
3.7%
381
 
3.6%
372
 
3.5%
371
 
3.5%
364
 
3.4%
333
 
3.1%
325
 
3.0%
Other values (225) 5509
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6406
59.7%
Decimal Number 2111
 
19.7%
Space Separator 1705
 
15.9%
Open Punctuation 156
 
1.5%
Close Punctuation 156
 
1.5%
Other Punctuation 66
 
0.6%
Dash Punctuation 60
 
0.6%
Uppercase Letter 55
 
0.5%
Lowercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
395
 
6.2%
392
 
6.1%
381
 
5.9%
372
 
5.8%
371
 
5.8%
364
 
5.7%
333
 
5.2%
325
 
5.1%
324
 
5.1%
323
 
5.0%
Other values (183) 2826
44.1%
Uppercase Letter
ValueCountFrequency (%)
H 15
27.3%
L 14
25.5%
S 5
 
9.1%
E 3
 
5.5%
W 2
 
3.6%
K 2
 
3.6%
D 2
 
3.6%
R 2
 
3.6%
A 2
 
3.6%
J 1
 
1.8%
Other values (7) 7
12.7%
Decimal Number
ValueCountFrequency (%)
1 578
27.4%
0 306
14.5%
2 285
13.5%
5 184
 
8.7%
4 159
 
7.5%
3 157
 
7.4%
6 149
 
7.1%
7 106
 
5.0%
9 101
 
4.8%
8 86
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
d 1
 
10.0%
a 1
 
10.0%
n 1
 
10.0%
t 1
 
10.0%
f 1
 
10.0%
o 1
 
10.0%
s 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 60
90.9%
. 4
 
6.1%
@ 2
 
3.0%
Space Separator
ValueCountFrequency (%)
1705
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6406
59.7%
Common 4254
39.7%
Latin 65
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
395
 
6.2%
392
 
6.1%
381
 
5.9%
372
 
5.8%
371
 
5.8%
364
 
5.7%
333
 
5.2%
325
 
5.1%
324
 
5.1%
323
 
5.0%
Other values (183) 2826
44.1%
Latin
ValueCountFrequency (%)
H 15
23.1%
L 14
21.5%
S 5
 
7.7%
e 3
 
4.6%
E 3
 
4.6%
W 2
 
3.1%
K 2
 
3.1%
D 2
 
3.1%
R 2
 
3.1%
A 2
 
3.1%
Other values (15) 15
23.1%
Common
ValueCountFrequency (%)
1705
40.1%
1 578
 
13.6%
0 306
 
7.2%
2 285
 
6.7%
5 184
 
4.3%
4 159
 
3.7%
3 157
 
3.7%
( 156
 
3.7%
) 156
 
3.7%
6 149
 
3.5%
Other values (7) 419
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6406
59.7%
ASCII 4319
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1705
39.5%
1 578
 
13.4%
0 306
 
7.1%
2 285
 
6.6%
5 184
 
4.3%
4 159
 
3.7%
3 157
 
3.6%
( 156
 
3.6%
) 156
 
3.6%
6 149
 
3.4%
Other values (32) 484
 
11.2%
Hangul
ValueCountFrequency (%)
395
 
6.2%
392
 
6.1%
381
 
5.9%
372
 
5.8%
371
 
5.8%
364
 
5.7%
333
 
5.2%
325
 
5.1%
324
 
5.1%
323
 
5.0%
Other values (183) 2826
44.1%
Distinct338
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-05-11T17:24:39.191302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.37883
Min length10

Characters and Unicode

Total characters4085
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

Unique324 ?
Unique (%)90.3%

Sample

1st row02-566-1696
2nd row02-459-2525
3rd row02-542-7177
4th row02-555-6645
5th row02-6904-0992
ValueCountFrequency (%)
02-546-1736 7
 
1.9%
02-516-1129 3
 
0.8%
02-546-3369 3
 
0.8%
02-3018-1004 2
 
0.6%
02-573-2895 2
 
0.6%
02-3461-1976 2
 
0.6%
02-445-4469 2
 
0.6%
02-576-4938 2
 
0.6%
02-3411-6227 2
 
0.6%
02-576-6105 2
 
0.6%
Other values (328) 332
92.5%
2024-05-11T17:24:39.522822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 718
17.6%
0 651
15.9%
2 575
14.1%
5 461
11.3%
4 331
8.1%
1 306
7.5%
6 255
 
6.2%
3 255
 
6.2%
7 242
 
5.9%
8 148
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3367
82.4%
Dash Punctuation 718
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 651
19.3%
2 575
17.1%
5 461
13.7%
4 331
9.8%
1 306
9.1%
6 255
 
7.6%
3 255
 
7.6%
7 242
 
7.2%
8 148
 
4.4%
9 143
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 718
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 718
17.6%
0 651
15.9%
2 575
14.1%
5 461
11.3%
4 331
8.1%
1 306
7.5%
6 255
 
6.2%
3 255
 
6.2%
7 242
 
5.9%
8 148
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 718
17.6%
0 651
15.9%
2 575
14.1%
5 461
11.3%
4 331
8.1%
1 306
7.5%
6 255
 
6.2%
3 255
 
6.2%
7 242
 
5.9%
8 148
 
3.6%

팩스번호
Text

MISSING 

Distinct242
Distinct (%)96.8%
Missing109
Missing (%)30.4%
Memory size2.9 KiB
2024-05-11T17:24:39.766679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.384
Min length9

Characters and Unicode

Total characters2846
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

Unique234 ?
Unique (%)93.6%

Sample

1st row02-459-6113
2nd row02-3411-3143
3rd row02-3457-6593
4th row02-501-3137
5th row02-6230-0201
ValueCountFrequency (%)
02-575-5663 2
 
0.8%
02-573-0332 2
 
0.8%
02-543-9875 2
 
0.8%
02-573-6104 2
 
0.8%
070-8118-3362 2
 
0.8%
02-573-2898 2
 
0.8%
02-567-1271 2
 
0.8%
02-2226-0277 2
 
0.8%
02-552-1991 1
 
0.4%
02-2040-1795 1
 
0.4%
Other values (232) 232
92.8%
2024-05-11T17:24:40.175511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 500
17.6%
2 426
15.0%
0 415
14.6%
5 296
10.4%
4 241
8.5%
1 223
7.8%
3 189
 
6.6%
7 170
 
6.0%
6 165
 
5.8%
8 130
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2346
82.4%
Dash Punctuation 500
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 426
18.2%
0 415
17.7%
5 296
12.6%
4 241
10.3%
1 223
9.5%
3 189
8.1%
7 170
 
7.2%
6 165
 
7.0%
8 130
 
5.5%
9 91
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2846
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 500
17.6%
2 426
15.0%
0 415
14.6%
5 296
10.4%
4 241
8.5%
1 223
7.8%
3 189
 
6.6%
7 170
 
6.0%
6 165
 
5.8%
8 130
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 500
17.6%
2 426
15.0%
0 415
14.6%
5 296
10.4%
4 241
8.5%
1 223
7.8%
3 189
 
6.6%
7 170
 
6.0%
6 165
 
5.8%
8 130
 
4.6%

홈페이지주소
Text

MISSING 

Distinct101
Distinct (%)99.0%
Missing257
Missing (%)71.6%
Memory size2.9 KiB
2024-05-11T17:24:40.446731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length35.5
Mean length26.392157
Min length5

Characters and Unicode

Total characters2692
Distinct characters58
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

Unique100 ?
Unique (%)98.0%

Sample

1st rowwww.daum.net/ktng2022
2nd rowhttps://blog.naver.com/dotorisopoong
3rd rowhttps://blog.naver.com/dotorisopoong
4th rowwww.puruni.com/posco4
5th rowhttp://hansol-fastfive.kidsnote.ac
ValueCountFrequency (%)
https://blog.naver.com/dotorisopoong 2
 
1.9%
https://cafe.naver.com/hyunjiahansol 1
 
1.0%
www.gndongsan-ch.co.kr 1
 
1.0%
http://gncare.go.kr/nonhyeon 1
 
1.0%
http://gncare.go.kr/gsunga 1
 
1.0%
http://gncare.go.kr/ghanti 1
 
1.0%
cafe.daum.net/summerhillkn 1
 
1.0%
http://gncare.go.kr/gmokryun 1
 
1.0%
http://gncare.go.kr/preschool/html_skin1/main/index.php?psid=nahana 1
 
1.0%
bbochild@hanmail.net 1
 
1.0%
Other values (94) 94
89.5%
2024-05-11T17:24:40.828120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 222
 
8.2%
/ 186
 
6.9%
n 169
 
6.3%
a 169
 
6.3%
o 163
 
6.1%
g 147
 
5.5%
e 146
 
5.4%
t 144
 
5.3%
r 141
 
5.2%
w 139
 
5.2%
Other values (48) 1066
39.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2090
77.6%
Other Punctuation 474
 
17.6%
Decimal Number 96
 
3.6%
Dash Punctuation 12
 
0.4%
Other Letter 12
 
0.4%
Space Separator 3
 
0.1%
Math Symbol 3
 
0.1%
Connector Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 169
 
8.1%
a 169
 
8.1%
o 163
 
7.8%
g 147
 
7.0%
e 146
 
7.0%
t 144
 
6.9%
r 141
 
6.7%
w 139
 
6.7%
c 118
 
5.6%
h 103
 
4.9%
Other values (14) 651
31.1%
Other Letter
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%
Decimal Number
ValueCountFrequency (%)
0 18
18.8%
2 14
14.6%
1 13
13.5%
5 10
10.4%
3 9
9.4%
6 9
9.4%
4 8
8.3%
7 8
8.3%
8 4
 
4.2%
9 3
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 222
46.8%
/ 186
39.2%
: 52
 
11.0%
@ 11
 
2.3%
? 2
 
0.4%
, 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
~ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2091
77.7%
Common 589
 
21.9%
Hangul 12
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 169
 
8.1%
a 169
 
8.1%
o 163
 
7.8%
g 147
 
7.0%
e 146
 
7.0%
t 144
 
6.9%
r 141
 
6.7%
w 139
 
6.6%
c 118
 
5.6%
h 103
 
4.9%
Other values (15) 652
31.2%
Common
ValueCountFrequency (%)
. 222
37.7%
/ 186
31.6%
: 52
 
8.8%
0 18
 
3.1%
2 14
 
2.4%
1 13
 
2.2%
- 12
 
2.0%
@ 11
 
1.9%
5 10
 
1.7%
3 9
 
1.5%
Other values (11) 42
 
7.1%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2680
99.6%
Hangul 12
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 222
 
8.3%
/ 186
 
6.9%
n 169
 
6.3%
a 169
 
6.3%
o 163
 
6.1%
g 147
 
5.5%
e 146
 
5.4%
t 144
 
5.4%
r 141
 
5.3%
w 139
 
5.2%
Other values (36) 1054
39.3%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%

보육실수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0167131
Minimum0
Maximum15
Zeros24
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:40.934568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile8
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1454771
Coefficient of variation (CV)0.53413749
Kurtosis3.5581855
Mean4.0167131
Median Absolute Deviation (MAD)1
Skewness1.109658
Sum1442
Variance4.6030718
MonotonicityNot monotonic
2024-05-11T17:24:41.033867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 124
34.5%
4 76
21.2%
5 42
 
11.7%
6 33
 
9.2%
0 24
 
6.7%
2 22
 
6.1%
7 14
 
3.9%
8 11
 
3.1%
9 5
 
1.4%
10 3
 
0.8%
Other values (5) 5
 
1.4%
ValueCountFrequency (%)
0 24
 
6.7%
1 1
 
0.3%
2 22
 
6.1%
3 124
34.5%
4 76
21.2%
5 42
 
11.7%
6 33
 
9.2%
7 14
 
3.9%
8 11
 
3.1%
9 5
 
1.4%
ValueCountFrequency (%)
15 1
 
0.3%
14 1
 
0.3%
12 1
 
0.3%
11 1
 
0.3%
10 3
 
0.8%
9 5
 
1.4%
8 11
 
3.1%
7 14
 
3.9%
6 33
9.2%
5 42
11.7%

보육실 면적
Real number (ℝ)

ZEROS 

Distinct193
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.04178
Minimum0
Maximum783
Zeros14
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:41.155910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.9
Q165
median100
Q3208.5
95-th percentile381.5
Maximum783
Range783
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation121.46975
Coefficient of variation (CV)0.81500469
Kurtosis4.0321872
Mean149.04178
Median Absolute Deviation (MAD)51
Skewness1.6846284
Sum53506
Variance14754.9
MonotonicityNot monotonic
2024-05-11T17:24:41.304379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
3.9%
84 12
 
3.3%
80 6
 
1.7%
99 5
 
1.4%
180 5
 
1.4%
55 5
 
1.4%
87 5
 
1.4%
65 5
 
1.4%
75 5
 
1.4%
92 5
 
1.4%
Other values (183) 292
81.3%
ValueCountFrequency (%)
0 14
3.9%
1 3
 
0.8%
22 1
 
0.3%
23 1
 
0.3%
25 1
 
0.3%
26 2
 
0.6%
27 1
 
0.3%
29 2
 
0.6%
30 1
 
0.3%
31 2
 
0.6%
ValueCountFrequency (%)
783 1
0.3%
692 1
0.3%
685 1
0.3%
600 1
0.3%
551 1
0.3%
528 1
0.3%
472 1
0.3%
467 1
0.3%
455 1
0.3%
417 1
0.3%

놀이터수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93314763
Minimum0
Maximum8
Zeros170
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:41.417081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.196358
Coefficient of variation (CV)1.2820672
Kurtosis4.7791673
Mean0.93314763
Median Absolute Deviation (MAD)1
Skewness1.7927881
Sum335
Variance1.4312725
MonotonicityNot monotonic
2024-05-11T17:24:41.740285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 170
47.4%
1 102
28.4%
2 50
 
13.9%
3 25
 
7.0%
4 7
 
1.9%
6 2
 
0.6%
5 2
 
0.6%
8 1
 
0.3%
ValueCountFrequency (%)
0 170
47.4%
1 102
28.4%
2 50
 
13.9%
3 25
 
7.0%
4 7
 
1.9%
5 2
 
0.6%
6 2
 
0.6%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
6 2
 
0.6%
5 2
 
0.6%
4 7
 
1.9%
3 25
 
7.0%
2 50
 
13.9%
1 102
28.4%
0 170
47.4%

CCTV총설치수
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1532033
Minimum0
Maximum61
Zeros83
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:41.865793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q313
95-th percentile26
Maximum61
Range61
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9826919
Coefficient of variation (CV)1.1017377
Kurtosis4.7574184
Mean8.1532033
Median Absolute Deviation (MAD)4
Skewness1.8661101
Sum2927
Variance80.688754
MonotonicityNot monotonic
2024-05-11T17:24:41.978179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 83
23.1%
4 67
18.7%
3 30
 
8.4%
8 23
 
6.4%
16 22
 
6.1%
5 14
 
3.9%
6 13
 
3.6%
13 11
 
3.1%
14 11
 
3.1%
10 9
 
2.5%
Other values (26) 76
21.2%
ValueCountFrequency (%)
0 83
23.1%
1 1
 
0.3%
2 1
 
0.3%
3 30
 
8.4%
4 67
18.7%
5 14
 
3.9%
6 13
 
3.6%
7 7
 
1.9%
8 23
 
6.4%
9 5
 
1.4%
ValueCountFrequency (%)
61 1
 
0.3%
44 1
 
0.3%
38 1
 
0.3%
37 4
1.1%
35 2
0.6%
32 4
1.1%
31 2
0.6%
30 1
 
0.3%
29 1
 
0.3%
26 2
0.6%

보육교직원수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3816156
Minimum0
Maximum45
Zeros176
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:42.088797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q311
95-th percentile20.1
Maximum45
Range45
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.837868
Coefficient of variation (CV)1.2281949
Kurtosis1.2827081
Mean6.3816156
Median Absolute Deviation (MAD)4
Skewness1.1901987
Sum2291
Variance61.432175
MonotonicityNot monotonic
2024-05-11T17:24:42.210377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 176
49.0%
7 20
 
5.6%
6 15
 
4.2%
11 13
 
3.6%
9 12
 
3.3%
12 11
 
3.1%
10 11
 
3.1%
8 11
 
3.1%
16 9
 
2.5%
17 8
 
2.2%
Other values (19) 73
20.3%
ValueCountFrequency (%)
0 176
49.0%
1 3
 
0.8%
4 5
 
1.4%
5 6
 
1.7%
6 15
 
4.2%
7 20
 
5.6%
8 11
 
3.1%
9 12
 
3.3%
10 11
 
3.1%
11 13
 
3.6%
ValueCountFrequency (%)
45 1
 
0.3%
29 2
0.6%
28 2
0.6%
27 3
0.8%
26 2
0.6%
25 2
0.6%
24 1
 
0.3%
23 1
 
0.3%
22 3
0.8%
21 1
 
0.3%

정원
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.83844
Minimum0
Maximum250
Zeros12
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:42.328540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q120
median28
Q356.5
95-th percentile107.2
Maximum250
Range250
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation35.374478
Coefficient of variation (CV)0.82576485
Kurtosis4.2131941
Mean42.83844
Median Absolute Deviation (MAD)15
Skewness1.7213591
Sum15379
Variance1251.3537
MonotonicityNot monotonic
2024-05-11T17:24:42.453980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 62
 
17.3%
19 28
 
7.8%
49 25
 
7.0%
0 12
 
3.3%
21 10
 
2.8%
39 9
 
2.5%
9 7
 
1.9%
11 7
 
1.9%
37 5
 
1.4%
10 5
 
1.4%
Other values (91) 189
52.6%
ValueCountFrequency (%)
0 12
3.3%
6 1
 
0.3%
7 2
 
0.6%
8 1
 
0.3%
9 7
1.9%
10 5
1.4%
11 7
1.9%
12 3
 
0.8%
13 4
 
1.1%
14 4
 
1.1%
ValueCountFrequency (%)
250 1
0.3%
175 1
0.3%
170 1
0.3%
162 1
0.3%
160 1
0.3%
159 1
0.3%
145 1
0.3%
140 1
0.3%
138 1
0.3%
135 1
0.3%

현원
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.933148
Minimum0
Maximum157
Zeros179
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:42.570872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330.5
95-th percentile80
Maximum157
Range157
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation27.245542
Coefficient of variation (CV)1.4390392
Kurtosis3.5612737
Mean18.933148
Median Absolute Deviation (MAD)3
Skewness1.8004359
Sum6797
Variance742.31954
MonotonicityNot monotonic
2024-05-11T17:24:42.703198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
49.9%
20 9
 
2.5%
14 7
 
1.9%
10 6
 
1.7%
18 6
 
1.7%
16 5
 
1.4%
50 5
 
1.4%
9 5
 
1.4%
17 5
 
1.4%
19 4
 
1.1%
Other values (65) 128
35.7%
ValueCountFrequency (%)
0 179
49.9%
3 1
 
0.3%
5 2
 
0.6%
6 3
 
0.8%
7 2
 
0.6%
8 2
 
0.6%
9 5
 
1.4%
10 6
 
1.7%
11 1
 
0.3%
12 2
 
0.6%
ValueCountFrequency (%)
157 1
0.3%
146 1
0.3%
112 1
0.3%
102 1
0.3%
101 2
0.6%
99 1
0.3%
97 1
0.3%
95 1
0.3%
92 1
0.3%
88 2
0.6%

시설 위도(좌표값)
Real number (ℝ)

MISSING 

Distinct283
Distinct (%)89.3%
Missing42
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean37.494764
Minimum37.460214
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:42.862499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.460214
5-th percentile37.466077
Q137.481833
median37.493772
Q337.506468
95-th percentile37.524138
Maximum37.56647
Range0.1062557
Interquartile range (IQR)0.024635486

Descriptive statistics

Standard deviation0.019138546
Coefficient of variation (CV)0.0005104325
Kurtosis1.5062371
Mean37.494764
Median Absolute Deviation (MAD)0.012461935
Skewness0.77363301
Sum11885.84
Variance0.00036628395
MonotonicityNot monotonic
2024-05-11T17:24:43.013024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46764440054545 7
 
1.9%
37.56647 5
 
1.4%
37.48297905 4
 
1.1%
37.4939874 4
 
1.1%
37.47856925 3
 
0.8%
37.48469403 3
 
0.8%
37.474250435088166 3
 
0.8%
37.4643883571 2
 
0.6%
37.48618295356334 2
 
0.6%
37.46607656689434 2
 
0.6%
Other values (273) 282
78.6%
(Missing) 42
 
11.7%
ValueCountFrequency (%)
37.4602142981964 1
0.3%
37.4603378345816 1
0.3%
37.46040011829032 1
0.3%
37.46069683 1
0.3%
37.46248212676547 1
0.3%
37.464145909723534 1
0.3%
37.46430375507898 1
0.3%
37.46436664 1
0.3%
37.4643883571 2
0.6%
37.4645049844 1
0.3%
ValueCountFrequency (%)
37.56647 5
1.4%
37.52934822388158 1
 
0.3%
37.52750295 1
 
0.3%
37.52725508 1
 
0.3%
37.52688944 1
 
0.3%
37.5257341 1
 
0.3%
37.52532703 1
 
0.3%
37.5250924507104 1
 
0.3%
37.5250905785 1
 
0.3%
37.5246866253269 1
 
0.3%

시설 경도(좌표값)
Real number (ℝ)

MISSING 

Distinct283
Distinct (%)89.3%
Missing42
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean127.06336
Minimum126.97796
Maximum127.11242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:43.151899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile127.02666
Q1127.04701
median127.05866
Q3127.08532
95-th percentile127.10465
Maximum127.11242
Range0.13445719
Interquartile range (IQR)0.038305791

Descriptive statistics

Standard deviation0.026469254
Coefficient of variation (CV)0.0002083154
Kurtosis0.23444738
Mean127.06336
Median Absolute Deviation (MAD)0.016587227
Skewness-0.15003759
Sum40279.085
Variance0.00070062142
MonotonicityNot monotonic
2024-05-11T17:24:43.278471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.09274936299404 7
 
1.9%
126.977963 5
 
1.4%
127.0589853 4
 
1.1%
127.0750955 4
 
1.1%
127.0518792 3
 
0.8%
127.0873914 3
 
0.8%
127.10254159431408 3
 
0.8%
127.104164884 2
 
0.6%
127.06824831769634 2
 
0.6%
127.10992012344464 2
 
0.6%
Other values (273) 282
78.6%
(Missing) 42
 
11.7%
ValueCountFrequency (%)
126.977963 5
1.4%
127.0227401 1
 
0.3%
127.02290298189229 1
 
0.3%
127.0229843066999 1
 
0.3%
127.02399152308732 1
 
0.3%
127.0240571 1
 
0.3%
127.0242658 1
 
0.3%
127.0243892 1
 
0.3%
127.0245807 1
 
0.3%
127.025437 1
 
0.3%
ValueCountFrequency (%)
127.1124201892562 1
0.3%
127.11232993558156 1
0.3%
127.11171128875051 2
0.6%
127.111607161 1
0.3%
127.1110130980708 1
0.3%
127.11082206850824 1
0.3%
127.11022579474874 1
0.3%
127.10992012344464 2
0.6%
127.10837189953524 1
0.3%
127.10774761405152 1
0.3%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
미운영
268 
<NA>
53 
운영
38 

Length

Max length4
Median length3
Mean length3.0417827
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미운영 268
74.7%
<NA> 53
 
14.8%
운영 38
 
10.6%

Length

2024-05-11T17:24:43.414586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:43.512122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 268
74.7%
na 53
 
14.8%
운영 38
 
10.6%

인가일자
Date

MISSING 

Distinct310
Distinct (%)87.6%
Missing5
Missing (%)1.4%
Memory size2.9 KiB
Minimum1977-04-01 00:00:00
Maximum2022-08-23 00:00:00
2024-05-11T17:24:43.634822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:24:43.761852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing354
Missing (%)98.6%
Memory size2.9 KiB
Minimum2008-11-11 00:00:00
Maximum2022-10-05 00:00:00
2024-05-11T17:24:43.864122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:24:43.953460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴지종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing355
Missing (%)98.9%
Memory size2.9 KiB
Minimum2022-10-31 00:00:00
Maximum2023-10-04 00:00:00
2024-05-11T17:24:44.025160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:24:44.109732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

폐지일자
Date

MISSING 

Distinct127
Distinct (%)77.0%
Missing194
Missing (%)54.0%
Memory size2.9 KiB
Minimum1990-09-20 00:00:00
Maximum2022-07-18 00:00:00
2024-05-11T17:24:44.243156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:24:44.385612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-10-26 00:00:00
Maximum2022-10-26 00:00:00
2024-05-11T17:24:44.485634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:24:44.571013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

제공서비스
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
일반
263 
야간연장
64 
장애아통합,야간연장
 
12
시간제보육
 
8
<NA>
 
4
Other values (5)
 
8

Length

Max length17
Median length2
Mean length2.8802228
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반 263
73.3%
야간연장 64
 
17.8%
장애아통합,야간연장 12
 
3.3%
시간제보육 8
 
2.2%
<NA> 4
 
1.1%
야간연장,시간제보육 2
 
0.6%
방과후 전담 2
 
0.6%
장애아통합,방과후 통합,야간연장 2
 
0.6%
방과후 통합 1
 
0.3%
영아전담 1
 
0.3%

Length

2024-05-11T17:24:44.687249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:44.797856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 263
72.3%
야간연장 64
 
17.6%
장애아통합,야간연장 12
 
3.3%
시간제보육 8
 
2.2%
na 4
 
1.1%
방과후 3
 
0.8%
야간연장,시간제보육 2
 
0.5%
전담 2
 
0.5%
장애아통합,방과후 2
 
0.5%
통합,야간연장 2
 
0.5%
Other values (2) 2
 
0.5%

반수-만0세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1922006
Minimum0
Maximum5
Zeros162
Zeros (%)45.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:44.911844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3346878
Coefficient of variation (CV)1.1195162
Kurtosis-0.39040128
Mean1.1922006
Median Absolute Deviation (MAD)1
Skewness0.81367927
Sum428
Variance1.7813915
MonotonicityNot monotonic
2024-05-11T17:24:45.012518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 162
45.1%
1 64
 
17.8%
2 61
 
17.0%
3 51
 
14.2%
4 16
 
4.5%
5 5
 
1.4%
ValueCountFrequency (%)
0 162
45.1%
1 64
 
17.8%
2 61
 
17.0%
3 51
 
14.2%
4 16
 
4.5%
5 5
 
1.4%
ValueCountFrequency (%)
5 5
 
1.4%
4 16
 
4.5%
3 51
 
14.2%
2 61
 
17.0%
1 64
 
17.8%
0 162
45.1%

반수-만1세
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6713092
Minimum0
Maximum8
Zeros100
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:45.109531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5474023
Coefficient of variation (CV)0.92586237
Kurtosis2.2508373
Mean1.6713092
Median Absolute Deviation (MAD)1
Skewness1.1932868
Sum600
Variance2.3944539
MonotonicityNot monotonic
2024-05-11T17:24:45.202105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 100
27.9%
2 94
26.2%
1 76
21.2%
3 52
14.5%
4 23
 
6.4%
6 6
 
1.7%
8 4
 
1.1%
5 4
 
1.1%
ValueCountFrequency (%)
0 100
27.9%
1 76
21.2%
2 94
26.2%
3 52
14.5%
4 23
 
6.4%
5 4
 
1.1%
6 6
 
1.7%
8 4
 
1.1%
ValueCountFrequency (%)
8 4
 
1.1%
6 6
 
1.7%
5 4
 
1.1%
4 23
 
6.4%
3 52
14.5%
2 94
26.2%
1 76
21.2%
0 100
27.9%

반수-만2세
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5487465
Minimum0
Maximum10
Zeros91
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:45.306276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4190414
Coefficient of variation (CV)0.91625157
Kurtosis4.5890136
Mean1.5487465
Median Absolute Deviation (MAD)1
Skewness1.5048998
Sum556
Variance2.0136786
MonotonicityNot monotonic
2024-05-11T17:24:45.394936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 101
28.1%
1 101
28.1%
0 91
25.3%
3 33
 
9.2%
4 24
 
6.7%
6 3
 
0.8%
5 3
 
0.8%
7 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
ValueCountFrequency (%)
0 91
25.3%
1 101
28.1%
2 101
28.1%
3 33
 
9.2%
4 24
 
6.7%
5 3
 
0.8%
6 3
 
0.8%
7 1
 
0.3%
8 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 3
 
0.8%
5 3
 
0.8%
4 24
 
6.7%
3 33
 
9.2%
2 101
28.1%
1 101
28.1%
0 91
25.3%

반수-만3세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42339833
Minimum0
Maximum5
Zeros250
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:45.494310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75049975
Coefficient of variation (CV)1.7725619
Kurtosis5.9263575
Mean0.42339833
Median Absolute Deviation (MAD)0
Skewness2.1571164
Sum152
Variance0.56324987
MonotonicityNot monotonic
2024-05-11T17:24:45.586124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 250
69.6%
1 76
 
21.2%
2 26
 
7.2%
3 5
 
1.4%
4 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
0 250
69.6%
1 76
 
21.2%
2 26
 
7.2%
3 5
 
1.4%
4 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 1
 
0.3%
3 5
 
1.4%
2 26
 
7.2%
1 76
 
21.2%
0 250
69.6%

반수-만4세
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
313 
1
34 
2
 
10
5
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 313
87.2%
1 34
 
9.5%
2 10
 
2.8%
5 1
 
0.3%
3 1
 
0.3%

Length

2024-05-11T17:24:45.707607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:45.808881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 313
87.2%
1 34
 
9.5%
2 10
 
2.8%
5 1
 
0.3%
3 1
 
0.3%

반수-만5세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1643454
Minimum0
Maximum5
Zeros317
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:45.910330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.53717558
Coefficient of variation (CV)3.2685768
Kurtosis28.839791
Mean0.1643454
Median Absolute Deviation (MAD)0
Skewness4.68394
Sum59
Variance0.2885576
MonotonicityNot monotonic
2024-05-11T17:24:46.033212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 317
88.3%
1 31
 
8.6%
2 8
 
2.2%
4 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
0 317
88.3%
1 31
 
8.6%
2 8
 
2.2%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 1
 
0.3%
3 1
 
0.3%
2 8
 
2.2%
1 31
 
8.6%
0 317
88.3%

반수-영아혼합(만0~2세)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6128134
Minimum0
Maximum24
Zeros159
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:46.405261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.5
95-th percentile5
Maximum24
Range24
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.2492588
Coefficient of variation (CV)1.3946181
Kurtosis28.139329
Mean1.6128134
Median Absolute Deviation (MAD)1
Skewness3.6922222
Sum579
Variance5.059165
MonotonicityNot monotonic
2024-05-11T17:24:46.498769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 159
44.3%
2 66
18.4%
1 44
 
12.3%
3 40
 
11.1%
4 19
 
5.3%
5 16
 
4.5%
6 6
 
1.7%
7 3
 
0.8%
9 2
 
0.6%
8 2
 
0.6%
Other values (2) 2
 
0.6%
ValueCountFrequency (%)
0 159
44.3%
1 44
 
12.3%
2 66
18.4%
3 40
 
11.1%
4 19
 
5.3%
5 16
 
4.5%
6 6
 
1.7%
7 3
 
0.8%
8 2
 
0.6%
9 2
 
0.6%
ValueCountFrequency (%)
24 1
 
0.3%
12 1
 
0.3%
9 2
 
0.6%
8 2
 
0.6%
7 3
 
0.8%
6 6
 
1.7%
5 16
 
4.5%
4 19
 
5.3%
3 40
11.1%
2 66
18.4%

반수-유아혼합(만3~5세)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48746518
Minimum0
Maximum9
Zeros243
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:46.588538image/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 deviation0.92103536
Coefficient of variation (CV)1.8894382
Kurtosis22.39022
Mean0.48746518
Median Absolute Deviation (MAD)0
Skewness3.5638353
Sum175
Variance0.84830613
MonotonicityNot monotonic
2024-05-11T17:24:46.677663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 243
67.7%
1 79
 
22.0%
2 25
 
7.0%
3 8
 
2.2%
4 2
 
0.6%
9 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
0 243
67.7%
1 79
 
22.0%
2 25
 
7.0%
3 8
 
2.2%
4 2
 
0.6%
5 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
9 1
 
0.3%
5 1
 
0.3%
4 2
 
0.6%
3 8
 
2.2%
2 25
 
7.0%
1 79
 
22.0%
0 243
67.7%

반수-특수장애
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1448468
Minimum0
Maximum7
Zeros343
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:46.763154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75573777
Coefficient of variation (CV)5.2174973
Kurtosis40.487159
Mean0.1448468
Median Absolute Deviation (MAD)0
Skewness6.0786107
Sum52
Variance0.57113957
MonotonicityNot monotonic
2024-05-11T17:24:46.857976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 343
95.5%
3 7
 
1.9%
2 3
 
0.8%
1 2
 
0.6%
5 2
 
0.6%
7 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
0 343
95.5%
1 2
 
0.6%
2 3
 
0.8%
3 7
 
1.9%
5 2
 
0.6%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.6%
3 7
 
1.9%
2 3
 
0.8%
1 2
 
0.6%
0 343
95.5%

반수-총계
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4178273
Minimum0
Maximum35
Zeros36
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:46.969335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median7
Q310
95-th percentile16
Maximum35
Range35
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.9785366
Coefficient of variation (CV)0.67115833
Kurtosis5.3719893
Mean7.4178273
Median Absolute Deviation (MAD)3
Skewness1.4070376
Sum2663
Variance24.785827
MonotonicityNot monotonic
2024-05-11T17:24:47.072604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7 42
11.7%
8 38
10.6%
0 36
10.0%
6 32
8.9%
5 31
8.6%
9 27
 
7.5%
4 25
 
7.0%
10 22
 
6.1%
11 21
 
5.8%
3 15
 
4.2%
Other values (15) 70
19.5%
ValueCountFrequency (%)
0 36
10.0%
1 3
 
0.8%
2 13
 
3.6%
3 15
 
4.2%
4 25
7.0%
5 31
8.6%
6 32
8.9%
7 42
11.7%
8 38
10.6%
9 27
7.5%
ValueCountFrequency (%)
35 1
 
0.3%
34 1
 
0.3%
31 1
 
0.3%
24 1
 
0.3%
21 1
 
0.3%
19 1
 
0.3%
18 4
1.1%
17 4
1.1%
16 5
1.4%
15 5
1.4%

아동수-만0세
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8440111
Minimum0
Maximum12
Zeros253
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:47.183875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1970939
Coefficient of variation (CV)1.7337715
Kurtosis1.1843341
Mean1.8440111
Median Absolute Deviation (MAD)0
Skewness1.5520052
Sum662
Variance10.22141
MonotonicityNot monotonic
2024-05-11T17:24:47.302299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 253
70.5%
6 33
 
9.2%
3 24
 
6.7%
9 23
 
6.4%
12 6
 
1.7%
5 6
 
1.7%
4 5
 
1.4%
8 3
 
0.8%
7 2
 
0.6%
2 2
 
0.6%
Other values (2) 2
 
0.6%
ValueCountFrequency (%)
0 253
70.5%
2 2
 
0.6%
3 24
 
6.7%
4 5
 
1.4%
5 6
 
1.7%
6 33
 
9.2%
7 2
 
0.6%
8 3
 
0.8%
9 23
 
6.4%
10 1
 
0.3%
ValueCountFrequency (%)
12 6
 
1.7%
11 1
 
0.3%
10 1
 
0.3%
9 23
6.4%
8 3
 
0.8%
7 2
 
0.6%
6 33
9.2%
5 6
 
1.7%
4 5
 
1.4%
3 24
6.7%

아동수-만1세
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0167131
Minimum0
Maximum30
Zeros217
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:47.418492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile15
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.0491238
Coefficient of variation (CV)1.5059885
Kurtosis1.9740191
Mean4.0167131
Median Absolute Deviation (MAD)0
Skewness1.548286
Sum1442
Variance36.591899
MonotonicityNot monotonic
2024-05-11T17:24:47.534275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 217
60.4%
5 34
 
9.5%
10 33
 
9.2%
15 16
 
4.5%
8 10
 
2.8%
20 8
 
2.2%
9 7
 
1.9%
3 5
 
1.4%
14 5
 
1.4%
6 4
 
1.1%
Other values (12) 20
 
5.6%
ValueCountFrequency (%)
0 217
60.4%
2 1
 
0.3%
3 5
 
1.4%
4 3
 
0.8%
5 34
 
9.5%
6 4
 
1.1%
7 2
 
0.6%
8 10
 
2.8%
9 7
 
1.9%
10 33
 
9.2%
ValueCountFrequency (%)
30 1
 
0.3%
29 1
 
0.3%
26 1
 
0.3%
21 2
 
0.6%
20 8
2.2%
19 2
 
0.6%
18 2
 
0.6%
15 16
4.5%
14 5
 
1.4%
13 2
 
0.6%

아동수-만2세
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2172702
Minimum0
Maximum42
Zeros211
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:47.667192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile21
Maximum42
Range42
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.7771067
Coefficient of variation (CV)1.4906467
Kurtosis2.5248491
Mean5.2172702
Median Absolute Deviation (MAD)0
Skewness1.6283095
Sum1873
Variance60.483388
MonotonicityNot monotonic
2024-05-11T17:24:47.792008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 211
58.8%
14 28
 
7.8%
6 21
 
5.8%
7 15
 
4.2%
13 13
 
3.6%
5 9
 
2.5%
21 8
 
2.2%
12 7
 
1.9%
9 5
 
1.4%
10 5
 
1.4%
Other values (19) 37
 
10.3%
ValueCountFrequency (%)
0 211
58.8%
2 1
 
0.3%
3 3
 
0.8%
4 1
 
0.3%
5 9
 
2.5%
6 21
 
5.8%
7 15
 
4.2%
8 4
 
1.1%
9 5
 
1.4%
10 5
 
1.4%
ValueCountFrequency (%)
42 1
 
0.3%
35 1
 
0.3%
33 1
 
0.3%
32 1
 
0.3%
31 1
 
0.3%
28 3
 
0.8%
25 3
 
0.8%
24 4
1.1%
22 1
 
0.3%
21 8
2.2%

아동수-만3세
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2479109
Minimum0
Maximum39
Zeros294
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:47.901725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.1
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6015102
Coefficient of variation (CV)2.4918738
Kurtosis9.9029762
Mean2.2479109
Median Absolute Deviation (MAD)0
Skewness2.9551329
Sum807
Variance31.376916
MonotonicityNot monotonic
2024-05-11T17:24:48.018496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 294
81.9%
13 9
 
2.5%
11 8
 
2.2%
8 7
 
1.9%
15 6
 
1.7%
12 5
 
1.4%
10 4
 
1.1%
5 3
 
0.8%
7 3
 
0.8%
4 2
 
0.6%
Other values (16) 18
 
5.0%
ValueCountFrequency (%)
0 294
81.9%
1 1
 
0.3%
2 1
 
0.3%
3 1
 
0.3%
4 2
 
0.6%
5 3
 
0.8%
6 2
 
0.6%
7 3
 
0.8%
8 7
 
1.9%
9 1
 
0.3%
ValueCountFrequency (%)
39 1
0.3%
28 1
0.3%
27 1
0.3%
26 1
0.3%
25 2
0.6%
23 1
0.3%
22 1
0.3%
20 1
0.3%
19 1
0.3%
17 1
0.3%

아동수-만4세
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98050139
Minimum0
Maximum34
Zeros333
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:48.137008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9511202
Coefficient of variation (CV)4.0296936
Kurtosis25.36907
Mean0.98050139
Median Absolute Deviation (MAD)0
Skewness4.7303039
Sum352
Variance15.611351
MonotonicityNot monotonic
2024-05-11T17:24:48.254232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 333
92.8%
15 3
 
0.8%
17 3
 
0.8%
11 3
 
0.8%
5 2
 
0.6%
6 2
 
0.6%
16 2
 
0.6%
12 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
Other values (8) 8
 
2.2%
ValueCountFrequency (%)
0 333
92.8%
4 1
 
0.3%
5 2
 
0.6%
6 2
 
0.6%
8 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
11 3
 
0.8%
12 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
34 1
 
0.3%
28 1
 
0.3%
19 1
 
0.3%
18 1
 
0.3%
17 3
0.8%
16 2
0.6%
15 3
0.8%
14 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%

아동수-만5세
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1476323
Minimum0
Maximum35
Zeros332
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:48.388401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.2
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5591015
Coefficient of variation (CV)3.9726151
Kurtosis20.80431
Mean1.1476323
Median Absolute Deviation (MAD)0
Skewness4.4337157
Sum412
Variance20.785406
MonotonicityNot monotonic
2024-05-11T17:24:48.513076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 332
92.5%
20 3
 
0.8%
17 3
 
0.8%
18 3
 
0.8%
5 3
 
0.8%
8 2
 
0.6%
3 2
 
0.6%
14 2
 
0.6%
15 2
 
0.6%
23 1
 
0.3%
Other values (6) 6
 
1.7%
ValueCountFrequency (%)
0 332
92.5%
3 2
 
0.6%
5 3
 
0.8%
8 2
 
0.6%
11 1
 
0.3%
12 1
 
0.3%
14 2
 
0.6%
15 2
 
0.6%
16 1
 
0.3%
17 3
 
0.8%
ValueCountFrequency (%)
35 1
 
0.3%
31 1
 
0.3%
24 1
 
0.3%
23 1
 
0.3%
20 3
0.8%
18 3
0.8%
17 3
0.8%
16 1
 
0.3%
15 2
0.6%
14 2
0.6%

아동수-영아혼합(만0~2세)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1281337
Minimum0
Maximum16
Zeros292
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:48.625700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6521341
Coefficient of variation (CV)2.350904
Kurtosis6.470796
Mean1.1281337
Median Absolute Deviation (MAD)0
Skewness2.5434276
Sum405
Variance7.0338152
MonotonicityNot monotonic
2024-05-11T17:24:48.749546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 292
81.3%
3 15
 
4.2%
7 9
 
2.5%
5 9
 
2.5%
6 8
 
2.2%
4 7
 
1.9%
8 7
 
1.9%
9 5
 
1.4%
10 2
 
0.6%
12 1
 
0.3%
Other values (4) 4
 
1.1%
ValueCountFrequency (%)
0 292
81.3%
2 1
 
0.3%
3 15
 
4.2%
4 7
 
1.9%
5 9
 
2.5%
6 8
 
2.2%
7 9
 
2.5%
8 7
 
1.9%
9 5
 
1.4%
10 2
 
0.6%
ValueCountFrequency (%)
16 1
 
0.3%
14 1
 
0.3%
12 1
 
0.3%
11 1
 
0.3%
10 2
 
0.6%
9 5
1.4%
8 7
1.9%
7 9
2.5%
6 8
2.2%
5 9
2.5%

아동수-유아혼합(만3~5세)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9805014
Minimum0
Maximum43
Zeros291
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:48.879520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.1
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.9072013
Coefficient of variation (CV)2.477757
Kurtosis16.413441
Mean1.9805014
Median Absolute Deviation (MAD)0
Skewness3.377749
Sum711
Variance24.080624
MonotonicityNot monotonic
2024-05-11T17:24:49.009295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 291
81.1%
12 8
 
2.2%
11 7
 
1.9%
13 6
 
1.7%
10 6
 
1.7%
8 5
 
1.4%
5 5
 
1.4%
3 5
 
1.4%
6 4
 
1.1%
7 4
 
1.1%
Other values (11) 18
 
5.0%
ValueCountFrequency (%)
0 291
81.1%
2 1
 
0.3%
3 5
 
1.4%
4 3
 
0.8%
5 5
 
1.4%
6 4
 
1.1%
7 4
 
1.1%
8 5
 
1.4%
9 2
 
0.6%
10 6
 
1.7%
ValueCountFrequency (%)
43 1
 
0.3%
25 1
 
0.3%
23 1
 
0.3%
20 1
 
0.3%
18 1
 
0.3%
17 2
 
0.6%
15 3
 
0.8%
14 2
 
0.6%
13 6
1.7%
12 8
2.2%

아동수-특수장애
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3454039
Minimum0
Maximum20
Zeros345
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:49.117928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9166792
Coefficient of variation (CV)5.5490953
Kurtosis50.375894
Mean0.3454039
Median Absolute Deviation (MAD)0
Skewness6.642322
Sum124
Variance3.673659
MonotonicityNot monotonic
2024-05-11T17:24:49.232013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 345
96.1%
6 4
 
1.1%
9 4
 
1.1%
10 2
 
0.6%
20 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
0 345
96.1%
3 1
 
0.3%
5 1
 
0.3%
6 4
 
1.1%
9 4
 
1.1%
10 2
 
0.6%
16 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
16 1
 
0.3%
10 2
 
0.6%
9 4
 
1.1%
6 4
 
1.1%
5 1
 
0.3%
3 1
 
0.3%
0 345
96.1%

아동수-총계
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.908078
Minimum0
Maximum157
Zeros179
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:49.356089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330.5
95-th percentile80
Maximum157
Range157
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation27.237317
Coefficient of variation (CV)1.4405122
Kurtosis3.5755079
Mean18.908078
Median Absolute Deviation (MAD)3
Skewness1.804253
Sum6788
Variance741.87142
MonotonicityNot monotonic
2024-05-11T17:24:49.493675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
49.9%
20 9
 
2.5%
14 8
 
2.2%
10 6
 
1.7%
18 6
 
1.7%
16 5
 
1.4%
50 5
 
1.4%
9 5
 
1.4%
51 4
 
1.1%
30 4
 
1.1%
Other values (65) 128
35.7%
ValueCountFrequency (%)
0 179
49.9%
3 1
 
0.3%
5 2
 
0.6%
6 3
 
0.8%
7 2
 
0.6%
8 2
 
0.6%
9 5
 
1.4%
10 6
 
1.7%
11 1
 
0.3%
12 2
 
0.6%
ValueCountFrequency (%)
157 1
0.3%
146 1
0.3%
112 1
0.3%
102 1
0.3%
101 2
0.6%
99 1
0.3%
97 1
0.3%
95 1
0.3%
92 1
0.3%
88 2
0.6%

근속년수-1년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)27.6%
Missing178
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean47.966851
Minimum0
Maximum100
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:49.646128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q131
median47
Q362
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)31

Descriptive statistics

Standard deviation24.173884
Coefficient of variation (CV)0.50397063
Kurtosis-0.19727592
Mean47.966851
Median Absolute Deviation (MAD)16
Skewness0.44014811
Sum8682
Variance584.37667
MonotonicityNot monotonic
2024-05-11T17:24:49.793216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 19
 
5.3%
100 13
 
3.6%
33 12
 
3.3%
25 11
 
3.1%
60 11
 
3.1%
40 11
 
3.1%
67 9
 
2.5%
31 7
 
1.9%
57 6
 
1.7%
0 5
 
1.4%
Other values (40) 77
21.4%
(Missing) 178
49.6%
ValueCountFrequency (%)
0 5
1.4%
9 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
16 1
 
0.3%
17 4
1.1%
18 1
 
0.3%
20 3
0.8%
ValueCountFrequency (%)
100 13
3.6%
92 2
 
0.6%
91 1
 
0.3%
88 1
 
0.3%
80 4
 
1.1%
79 1
 
0.3%
75 2
 
0.6%
73 1
 
0.3%
71 3
 
0.8%
70 2
 
0.6%

근속년수-1년이상~2년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)14.9%
Missing178
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean11.265193
Minimum0
Maximum78
Zeros79
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:49.918456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q317
95-th percentile36
Maximum78
Range78
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.099502
Coefficient of variation (CV)1.2515987
Kurtosis3.9100098
Mean11.265193
Median Absolute Deviation (MAD)8
Skewness1.725471
Sum2039
Variance198.79595
MonotonicityNot monotonic
2024-05-11T17:24:50.056764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 79
22.0%
20 10
 
2.8%
14 9
 
2.5%
8 9
 
2.5%
13 8
 
2.2%
17 7
 
1.9%
25 6
 
1.7%
33 5
 
1.4%
29 4
 
1.1%
10 4
 
1.1%
Other values (17) 40
 
11.1%
(Missing) 178
49.6%
ValueCountFrequency (%)
0 79
22.0%
5 2
 
0.6%
6 2
 
0.6%
7 4
 
1.1%
8 9
 
2.5%
9 4
 
1.1%
10 4
 
1.1%
11 4
 
1.1%
13 8
 
2.2%
14 9
 
2.5%
ValueCountFrequency (%)
78 1
 
0.3%
69 1
 
0.3%
56 1
 
0.3%
50 3
0.8%
40 3
0.8%
36 1
 
0.3%
33 5
1.4%
31 2
 
0.6%
30 3
0.8%
29 4
1.1%

근속년수-2년이상~4년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)19.9%
Missing178
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean18.337017
Minimum0
Maximum82
Zeros52
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:50.189052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q330
95-th percentile50
Maximum82
Range82
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.540933
Coefficient of variation (CV)0.90205147
Kurtosis0.3916187
Mean18.337017
Median Absolute Deviation (MAD)16
Skewness0.79553922
Sum3319
Variance273.60246
MonotonicityNot monotonic
2024-05-11T17:24:50.339411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 52
 
14.5%
20 14
 
3.9%
33 13
 
3.6%
14 11
 
3.1%
25 10
 
2.8%
17 10
 
2.8%
50 6
 
1.7%
30 5
 
1.4%
15 5
 
1.4%
38 4
 
1.1%
Other values (26) 51
 
14.2%
(Missing) 178
49.6%
ValueCountFrequency (%)
0 52
14.5%
5 1
 
0.3%
6 2
 
0.6%
7 1
 
0.3%
8 4
 
1.1%
9 2
 
0.6%
10 2
 
0.6%
11 2
 
0.6%
13 4
 
1.1%
14 11
 
3.1%
ValueCountFrequency (%)
82 1
 
0.3%
60 1
 
0.3%
58 1
 
0.3%
56 2
 
0.6%
53 1
 
0.3%
50 6
1.7%
46 3
0.8%
44 2
 
0.6%
43 2
 
0.6%
40 2
 
0.6%

근속년수-4년이상~6년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)15.5%
Missing178
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean10.138122
Minimum0
Maximum100
Zeros83
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:50.475495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q315
95-th percentile33
Maximum100
Range100
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.423659
Coefficient of variation (CV)1.4227151
Kurtosis10.732543
Mean10.138122
Median Absolute Deviation (MAD)6
Skewness2.6705581
Sum1835
Variance208.04193
MonotonicityNot monotonic
2024-05-11T17:24:50.609503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 83
23.1%
17 10
 
2.8%
14 10
 
2.8%
8 10
 
2.8%
11 8
 
2.2%
20 7
 
1.9%
6 6
 
1.7%
15 6
 
1.7%
33 5
 
1.4%
13 5
 
1.4%
Other values (18) 31
 
8.6%
(Missing) 178
49.6%
ValueCountFrequency (%)
0 83
23.1%
5 3
 
0.8%
6 6
 
1.7%
7 3
 
0.8%
8 10
 
2.8%
10 4
 
1.1%
11 8
 
2.2%
13 5
 
1.4%
14 10
 
2.8%
15 6
 
1.7%
ValueCountFrequency (%)
100 1
 
0.3%
75 1
 
0.3%
67 1
 
0.3%
50 1
 
0.3%
44 1
 
0.3%
43 1
 
0.3%
40 3
0.8%
33 5
1.4%
31 1
 
0.3%
30 1
 
0.3%

근속년수-6년이상
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)18.2%
Missing178
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean12.364641
Minimum0
Maximum67
Zeros88
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:50.736720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q320
95-th percentile43
Maximum67
Range67
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.673391
Coefficient of variation (CV)1.2675978
Kurtosis1.2613768
Mean12.364641
Median Absolute Deviation (MAD)6
Skewness1.3125814
Sum2238
Variance245.65519
MonotonicityNot monotonic
2024-05-11T17:24:50.853778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 88
24.5%
17 13
 
3.6%
20 8
 
2.2%
33 8
 
2.2%
14 8
 
2.2%
25 6
 
1.7%
40 4
 
1.1%
8 4
 
1.1%
15 3
 
0.8%
10 3
 
0.8%
Other values (23) 36
 
10.0%
(Missing) 178
49.6%
ValueCountFrequency (%)
0 88
24.5%
6 3
 
0.8%
7 1
 
0.3%
8 4
 
1.1%
9 1
 
0.3%
10 3
 
0.8%
11 2
 
0.6%
12 1
 
0.3%
13 3
 
0.8%
14 8
 
2.2%
ValueCountFrequency (%)
67 2
0.6%
60 1
 
0.3%
57 1
 
0.3%
53 1
 
0.3%
50 2
0.6%
46 1
 
0.3%
44 1
 
0.3%
43 2
0.6%
40 4
1.1%
38 1
 
0.3%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
1
182 
<NA>
176 
0
 
1

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 182
50.7%
<NA> 176
49.0%
0 1
 
0.3%

Length

2024-05-11T17:24:50.991117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:51.097649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 182
50.7%
na 176
49.0%
0 1
 
0.3%

교직원현황-보육교사
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)12.0%
Missing176
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean9.0601093
Minimum0
Maximum34
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:51.190468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median8
Q313
95-th percentile17.9
Maximum34
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.014451
Coefficient of variation (CV)0.55346473
Kurtosis2.4808232
Mean9.0601093
Median Absolute Deviation (MAD)3
Skewness1.0685855
Sum1658
Variance25.144719
MonotonicityNot monotonic
2024-05-11T17:24:51.312365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 21
 
5.8%
4 19
 
5.3%
13 18
 
5.0%
6 16
 
4.5%
9 15
 
4.2%
7 14
 
3.9%
10 12
 
3.3%
12 11
 
3.1%
8 8
 
2.2%
3 7
 
1.9%
Other values (12) 42
 
11.7%
(Missing) 176
49.0%
ValueCountFrequency (%)
0 2
 
0.6%
1 1
 
0.3%
2 4
 
1.1%
3 7
 
1.9%
4 19
5.3%
5 21
5.8%
6 16
4.5%
7 14
3.9%
8 8
 
2.2%
9 15
4.2%
ValueCountFrequency (%)
34 1
 
0.3%
21 5
 
1.4%
20 1
 
0.3%
18 3
 
0.8%
17 2
 
0.6%
16 6
 
1.7%
15 5
 
1.4%
14 6
 
1.7%
13 18
5.0%
12 11
3.1%

교직원현황-특수교사
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
176 
0
173 
3
 
4
2
 
3
1
 
2

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
49.0%
0 173
48.2%
3 4
 
1.1%
2 3
 
0.8%
1 2
 
0.6%
7 1
 
0.3%

Length

2024-05-11T17:24:51.443504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:51.858941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
49.0%
0 173
48.2%
3 4
 
1.1%
2 3
 
0.8%
1 2
 
0.6%
7 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
183 
<NA>
176 

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 183
51.0%
<NA> 176
49.0%

Length

2024-05-11T17:24:52.003254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:52.110975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
51.0%
na 176
49.0%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
176 
0
171 
1
 
12

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
49.0%
0 171
47.6%
1 12
 
3.3%

Length

2024-05-11T17:24:52.229592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:52.346291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
49.0%
0 171
47.6%
1 12
 
3.3%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
176 
0
169 
1
 
14

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
49.0%
0 169
47.1%
1 14
 
3.9%

Length

2024-05-11T17:24:52.460586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:52.569658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
49.0%
0 169
47.1%
1 14
 
3.9%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
176 
0
170 
1
 
13

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
49.0%
0 170
47.4%
1 13
 
3.6%

Length

2024-05-11T17:24:52.704135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:52.816210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
49.0%
0 170
47.4%
1 13
 
3.6%
Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
176 
1
72 
2
54 
0
52 
3
 
3

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 176
49.0%
1 72
20.1%
2 54
 
15.0%
0 52
 
14.5%
3 3
 
0.8%
4 2
 
0.6%

Length

2024-05-11T17:24:52.930073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:53.042124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
49.0%
1 72
20.1%
2 54
 
15.0%
0 52
 
14.5%
3 3
 
0.8%
4 2
 
0.6%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
176 
<NA>
176 
1
 
6
2
 
1

Length

Max length4
Median length1
Mean length2.4707521
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 176
49.0%
<NA> 176
49.0%
1 6
 
1.7%
2 1
 
0.3%

Length

2024-05-11T17:24:53.161230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:24:53.277521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 176
49.0%
na 176
49.0%
1 6
 
1.7%
2 1
 
0.3%

교직원현황-총계
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)15.3%
Missing176
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean12.52459
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T17:24:53.380584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median11
Q316.5
95-th percentile25.9
Maximum45
Range44
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation6.6098658
Coefficient of variation (CV)0.52775107
Kurtosis2.5262803
Mean12.52459
Median Absolute Deviation (MAD)4
Skewness1.1845283
Sum2292
Variance43.690326
MonotonicityNot monotonic
2024-05-11T17:24:53.490291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7 20
 
5.6%
6 15
 
4.2%
11 13
 
3.6%
9 12
 
3.3%
8 11
 
3.1%
10 11
 
3.1%
12 11
 
3.1%
16 9
 
2.5%
17 8
 
2.2%
18 8
 
2.2%
Other values (18) 65
 
18.1%
(Missing) 176
49.0%
ValueCountFrequency (%)
1 3
 
0.8%
4 5
 
1.4%
5 6
 
1.7%
6 15
4.2%
7 20
5.6%
8 11
3.1%
9 12
3.3%
10 11
3.1%
11 13
3.6%
12 11
3.1%
ValueCountFrequency (%)
45 1
 
0.3%
29 2
0.6%
28 2
0.6%
27 3
0.8%
26 2
0.6%
25 2
0.6%
24 1
 
0.3%
23 2
0.6%
22 2
0.6%
21 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-10-26 09:13:35
Maximum2022-10-26 09:13:36
2024-05-11T17:24:53.596047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:24:53.700523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

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
0강남구11680000513케이티앤지 어린이집직장정상6176서울특별시 강남구 영동대로 416 케이티앤지타워 1층02-566-1696<NA>www.daum.net/ktng20224159087491037.506468127.065089미운영2022-08-23<NA><NA><NA>2022-10-26일반300000100470000030010100000015000001072022-10-26 09:13:35.0
1강남구11680000505강남데시앙포레어린이집국공립정상6362서울특별시 강남구 광평로34길 55 강남데시앙포레 아파트 키즈센터1층02-459-2525<NA><NA>926511618914037.483567127.094254미운영2021-11-18<NA><NA><NA>2022-10-26야간연장42200020010128130007004010000001140000020182022-10-26 09:13:35.0
2강남구11680000504래미안라클래시어린이집국공립정상6091서울특별시 강남구 삼성로 65102-542-7177<NA><NA>519411916654637.51891127.053663미운영2021-11-01<NA><NA><NA>2022-10-26야간연장442000000101220140000004610000001130000010162022-10-26 09:13:35.0
3강남구11680000502크래프톤 역삼 어린이집직장정상6126서울특별시 강남구 논현로99길 2102-555-6645<NA><NA>5223144977937.503313127.033664미운영2021-08-27<NA><NA><NA>2022-10-26일반00200020040050004009100000016000001092022-10-26 09:13:35.0
4강남구11680000501현대백화점 직장어린이집직장정상6181서울특별시 강남구 테헤란로98길 12 3층(대치동,현대백화점 본사)02-6904-0992<NA><NA>427901610491437.507452127.06216<NA>2021-08-27<NA><NA><NA>2022-10-26일반3000002106400000730141000000170000010102022-10-26 09:13:36.0
5강남구11680000503디에이치자이개포어린이집국공립정상6346서울특별시 강남구 영동대로 2202-459-611102-459-6113<NA>632802015926437.56647126.977963미운영2021-08-01<NA><NA><NA>2022-10-26야간연장3321100001091514151100006410000001130000010152022-10-26 09:13:35.0
6강남구11680000499도토리소풍넥슨 대치어린이집직장정상6187서울특별시 강남구 역삼로90길 2502-565-7900<NA>https://blog.naver.com/dotorisopoong519813511491037.56647126.977963미운영2021-03-30<NA><NA><NA>2022-10-26일반0122200007043300000101000000160010020112022-10-26 09:13:35.0
7강남구11680000498쿠키즈(coukids) 어린이집직장정상6212서울특별시 강남구 테헤란로 332 HJ타워 3층02-6204-2114<NA><NA>418801814492137.50389127.048167미운영2021-03-26<NA><NA><NA>2022-10-26일반0231000107098100030212278000190000020142022-10-26 09:13:35.0
8강남구11680000497삼성서울병원2 어린이집직장정상6341서울특별시 강남구 양재대로55길 1202-3411-314002-3411-3143<NA>7362238231206637.492334127.088464미운영2021-02-25<NA><NA><NA>2022-10-26일반064220000140212412900006631690001160011021232022-10-26 09:13:35.0
9강남구11680000495도토리소풍넥슨 강남어린이집직장정상6124서울특별시 강남구 강남대로110길 36 (역삼동)02-538-1026<NA>https://blog.naver.com/dotorisopoong524023719741937.503913127.028005운영2020-10-23<NA><NA><NA>2022-10-26일반0211210007052453000199280001130001020192022-10-26 09:13:35.0
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
349강남구11680000190삼성어린이집국공립정상6080서울특별시 강남구 영동대로122길 7-602-514-675202-514-6755http://gncare.go.kr/gsamsung83812162716010237.517214127.059648운영1990-04-01<NA><NA><NA>2022-10-26장애아통합,야간연장06432201321026211711180091022552015351182001020272022-10-26 09:13:35.0
350강남구11680000023방죽어린이집국공립정상6377서울특별시 강남구 밤고개로24길 75 (율현동)02-451-237402-451-5002<NA>722421620976337.469913127.104566미운영1988-03-08<NA><NA><NA>2022-10-26장애아통합,방과후 통합,야간연장022100016120101411000121663316386191151000020202022-10-26 09:13:35.0
351강남구11680000040다솔어린이집국공립정상6310서울특별시 강남구 개포로 264 단지 내 다솔어린이집(개포동, 개포래미안포레스트)02-575-257702-573-2577http://www.gncare.go.kr/gdasol6304132291029937.476506127.05447미운영1985-01-17<NA><NA><NA>2022-10-26장애아통합,야간연장3322110031591514151720009992451914381183011020292022-10-26 09:13:35.0
352강남구11680000030수서어린이집국공립정상6362서울특별시 강남구 광평로 242 (수서동)02-3412-420802-451-4208www.gncare.go.kr/gsuseo618621415856237.486157127.099052미운영1982-12-19<NA><NA><NA>2022-10-26야간연장22211100096101311111100062360918361110000020152022-10-26 09:13:35.0
353강남구11680000175역삼가애어린이집국공립정상6229서울특별시 강남구 도곡로37길 15 (역삼동)02-568-162302-568-7036www.gncare.go.kr/gadong10455316201389537.494831127.044734미운영1977-04-01<NA><NA><NA>2022-10-26야간연장,시간제보육224212000136102822141500095311366441160001020202022-10-26 09:13:35.0
354강남구11680000347아이월드놀이방가정폐지135240서울 강남구 개포동 1200-402-00-0000<NA><NA>0000000<NA><NA><NA><NA><NA><NA>2008-04-232022-10-26<NA>00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 09:13:35.0
355강남구11680000372언북몬테소리어린이집민간폐지135100서울 강남구 청담동02-546-3369070-8118-3362<NA>416200000<NA><NA><NA><NA><NA><NA>1997-04-242022-10-26일반00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 09:13:35.0
356강남구11680000349사라어린이집직장폐지135010서울 강남구 논현동 191-602-542-9001<NA><NA>0000000<NA><NA><NA><NA><NA><NA>2010-08-312022-10-26<NA>00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 09:13:35.0
357강남구11680000351개포새마을유아원국공립폐지135967서울 강남구 일원동 공무원아파트 8단지내02-000-0000<NA><NA>0000000<NA><NA><NA><NA><NA><NA>2000-01-012022-10-26<NA>00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 09:13:35.0
358강남구11680000348새나라어린이집민간폐지135230서울 강남구 일원동 64402-445-446902-2226-0277<NA>475000390<NA><NA><NA><NA><NA><NA>2010-09-302022-10-26<NA>00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 09:13:35.0