Overview

Dataset statistics

Number of variables62
Number of observations330
Missing cells2498
Missing cells (%)12.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory175.4 KiB
Average record size in memory544.4 B

Variable types

Categorical16
Numeric35
Text5
DateTime4
Unsupported2

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-20322/S/1/datasetView.do

Alerts

시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
데이터수집일 has constant value ""Constant
제공서비스 is highly imbalanced (59.0%)Imbalance
반수-만4세 is highly imbalanced (72.3%)Imbalance
반수-만5세 is highly imbalanced (70.0%)Imbalance
교직원현황-특수교사 is highly imbalanced (52.7%)Imbalance
팩스번호 has 72 (21.8%) missing valuesMissing
홈페이지주소 has 266 (80.6%) missing valuesMissing
시설 위도(좌표값) has 24 (7.3%) missing valuesMissing
시설 경도(좌표값) has 24 (7.3%) missing valuesMissing
휴지시작일자 has 330 (100.0%) missing valuesMissing
휴지종료일자 has 330 (100.0%) missing valuesMissing
폐지일자 has 172 (52.1%) missing valuesMissing
근속년수-1년미만 has 160 (48.5%) missing valuesMissing
근속년수-1년이상~2년미만 has 160 (48.5%) missing valuesMissing
근속년수-2년이상~4년미만 has 160 (48.5%) missing valuesMissing
근속년수-4년이상~6년미만 has 160 (48.5%) missing valuesMissing
근속년수-6년이상 has 160 (48.5%) missing valuesMissing
교직원현황-보육교사 has 160 (48.5%) missing valuesMissing
교직원현황-조리원 has 160 (48.5%) missing valuesMissing
교직원현황-총계 has 160 (48.5%) missing valuesMissing
어린이집코드 has unique valuesUnique
휴지시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴지종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보육실수 has 10 (3.0%) zerosZeros
보육실 면적 has 5 (1.5%) zerosZeros
CCTV총설치수 has 59 (17.9%) zerosZeros
보육교직원수 has 160 (48.5%) zerosZeros
현원 has 160 (48.5%) zerosZeros
반수-만0세 has 141 (42.7%) zerosZeros
반수-만1세 has 65 (19.7%) zerosZeros
반수-만2세 has 52 (15.8%) zerosZeros
반수-만3세 has 218 (66.1%) zerosZeros
반수-영아혼합(만0~2세) has 162 (49.1%) zerosZeros
반수-특수장애 has 316 (95.8%) zerosZeros
반수-총계 has 16 (4.8%) zerosZeros
아동수-만0세 has 223 (67.6%) zerosZeros
아동수-만1세 has 178 (53.9%) zerosZeros
아동수-만2세 has 181 (54.8%) zerosZeros
아동수-만3세 has 260 (78.8%) zerosZeros
아동수-만4세 has 304 (92.1%) zerosZeros
아동수-만5세 has 298 (90.3%) zerosZeros
아동수-영아혼합(만0~2세) has 288 (87.3%) zerosZeros
아동수-유아혼합(만3~5세) has 275 (83.3%) zerosZeros
아동수-특수장애 has 316 (95.8%) zerosZeros
아동수-총계 has 161 (48.8%) zerosZeros
근속년수-1년이상~2년미만 has 61 (18.5%) zerosZeros
근속년수-2년이상~4년미만 has 45 (13.6%) zerosZeros
근속년수-4년이상~6년미만 has 90 (27.3%) zerosZeros
근속년수-6년이상 has 110 (33.3%) zerosZeros
교직원현황-조리원 has 40 (12.1%) zerosZeros

Reproduction

Analysis started2024-05-04 03:13:25.217837
Analysis finished2024-05-04 03:13:27.638010
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
서초구
330 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서초구 330
100.0%

Length

2024-05-04T03:13:27.985978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:13:28.385519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서초구 330
100.0%

어린이집코드
Real number (ℝ)

UNIQUE 

Distinct330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.165 × 1010
Minimum1.165 × 1010
Maximum1.165 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:29.051525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.165 × 1010
5-th percentile1.165 × 1010
Q11.165 × 1010
median1.165 × 1010
Q31.165 × 1010
95-th percentile1.165 × 1010
Maximum1.165 × 1010
Range461
Interquartile range (IQR)279.5

Descriptive statistics

Standard deviation148.06678
Coefficient of variation (CV)1.2709594 × 10-8
Kurtosis-1.5387259
Mean1.165 × 1010
Median Absolute Deviation (MAD)135
Skewness-0.098978792
Sum3.8445001 × 1012
Variance21923.771
MonotonicityNot monotonic
2024-05-04T03:13:29.748509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11650000460 1
 
0.3%
11650000129 1
 
0.3%
11650000114 1
 
0.3%
11650000128 1
 
0.3%
11650000127 1
 
0.3%
11650000147 1
 
0.3%
11650000094 1
 
0.3%
11650000091 1
 
0.3%
11650000060 1
 
0.3%
11650000111 1
 
0.3%
Other values (320) 320
97.0%
ValueCountFrequency (%)
11650000002 1
0.3%
11650000005 1
0.3%
11650000008 1
0.3%
11650000009 1
0.3%
11650000010 1
0.3%
11650000011 1
0.3%
11650000012 1
0.3%
11650000013 1
0.3%
11650000014 1
0.3%
11650000015 1
0.3%
ValueCountFrequency (%)
11650000463 1
0.3%
11650000462 1
0.3%
11650000461 1
0.3%
11650000460 1
0.3%
11650000459 1
0.3%
11650000458 1
0.3%
11650000457 1
0.3%
11650000456 1
0.3%
11650000455 1
0.3%
11650000454 1
0.3%
Distinct322
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-04T03:13:30.365539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length9.2636364
Min length5

Characters and Unicode

Total characters3057
Distinct characters301
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique314 ?
Unique (%)95.2%

Sample

1st row서초구립 서초교대e편한세상어린이집
2nd row무지개어린이집
3rd row스마트 서리풀노리학교
4th row서초구립 반포센트레빌어린이집
5th row서초지빈어린이집
ValueCountFrequency (%)
서초구립 62
 
14.8%
어린이집 17
 
4.1%
현대양재어린이집 2
 
0.5%
허니비어린이집 2
 
0.5%
꿈나무어린이집 2
 
0.5%
아람어린이집 2
 
0.5%
아르떼어린이집 2
 
0.5%
나래어린이집 2
 
0.5%
서리풀노리학교 2
 
0.5%
하늘어린이집 2
 
0.5%
Other values (315) 323
77.3%
2024-05-04T03:13:31.632553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
374
 
12.2%
328
 
10.7%
325
 
10.6%
325
 
10.6%
123
 
4.0%
118
 
3.9%
88
 
2.9%
75
 
2.5%
73
 
2.4%
45
 
1.5%
Other values (291) 1183
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2914
95.3%
Space Separator 88
 
2.9%
Decimal Number 29
 
0.9%
Uppercase Letter 22
 
0.7%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
374
 
12.8%
328
 
11.3%
325
 
11.2%
325
 
11.2%
123
 
4.2%
118
 
4.0%
75
 
2.6%
73
 
2.5%
45
 
1.5%
30
 
1.0%
Other values (269) 1098
37.7%
Uppercase Letter
ValueCountFrequency (%)
K 3
13.6%
T 3
13.6%
C 3
13.6%
S 3
13.6%
G 2
9.1%
L 2
9.1%
D 2
9.1%
J 1
 
4.5%
R 1
 
4.5%
B 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 8
27.6%
2 6
20.7%
3 6
20.7%
4 5
17.2%
6 2
 
6.9%
7 1
 
3.4%
5 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2914
95.3%
Common 119
 
3.9%
Latin 24
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
374
 
12.8%
328
 
11.3%
325
 
11.2%
325
 
11.2%
123
 
4.2%
118
 
4.0%
75
 
2.6%
73
 
2.5%
45
 
1.5%
30
 
1.0%
Other values (269) 1098
37.7%
Latin
ValueCountFrequency (%)
K 3
12.5%
T 3
12.5%
C 3
12.5%
S 3
12.5%
G 2
8.3%
L 2
8.3%
D 2
8.3%
e 1
 
4.2%
J 1
 
4.2%
R 1
 
4.2%
Other values (3) 3
12.5%
Common
ValueCountFrequency (%)
88
73.9%
1 8
 
6.7%
2 6
 
5.0%
3 6
 
5.0%
4 5
 
4.2%
& 2
 
1.7%
6 2
 
1.7%
7 1
 
0.8%
5 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2914
95.3%
ASCII 143
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
374
 
12.8%
328
 
11.3%
325
 
11.2%
325
 
11.2%
123
 
4.2%
118
 
4.0%
75
 
2.6%
73
 
2.5%
45
 
1.5%
30
 
1.0%
Other values (269) 1098
37.7%
ASCII
ValueCountFrequency (%)
88
61.5%
1 8
 
5.6%
2 6
 
4.2%
3 6
 
4.2%
4 5
 
3.5%
K 3
 
2.1%
T 3
 
2.1%
C 3
 
2.1%
S 3
 
2.1%
& 2
 
1.4%
Other values (12) 16
 
11.2%
Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
가정
126 
국공립
96 
민간
75 
직장
30 
협동
 
2

Length

Max length6
Median length2
Mean length2.3030303
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
가정 126
38.2%
국공립 96
29.1%
민간 75
22.7%
직장 30
 
9.1%
협동 2
 
0.6%
법인?단체등 1
 
0.3%

Length

2024-05-04T03:13:32.235611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:13:32.674271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 126
38.2%
국공립 96
29.1%
민간 75
22.7%
직장 30
 
9.1%
협동 2
 
0.6%
법인?단체등 1
 
0.3%

운영현황
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정상
169 
폐지
158 
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 169
51.2%
폐지 158
47.9%
재개 3
 
0.9%

Length

2024-05-04T03:13:33.140759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:13:33.607209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 169
51.2%
폐지 158
47.9%
재개 3
 
0.9%

우편번호
Real number (ℝ)

Distinct160
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17786.209
Minimum6502
Maximum137950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:34.029199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6502
5-th percentile6509
Q16567.75
median6678
Q36766.5
95-th percentile137814.65
Maximum137950
Range131448
Interquartile range (IQR)198.75

Descriptive statistics

Standard deviation36604.528
Coefficient of variation (CV)2.0580287
Kurtosis7.0021202
Mean17786.209
Median Absolute Deviation (MAD)90
Skewness2.9932614
Sum5869449
Variance1.3398915 × 109
MonotonicityNot monotonic
2024-05-04T03:13:34.551269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6764 18
 
5.5%
6521 7
 
2.1%
6762 7
 
2.1%
6767 7
 
2.1%
6800 7
 
2.1%
6509 7
 
2.1%
6802 6
 
1.8%
6798 6
 
1.8%
6768 6
 
1.8%
6642 5
 
1.5%
Other values (150) 254
77.0%
ValueCountFrequency (%)
6502 2
 
0.6%
6503 3
0.9%
6504 2
 
0.6%
6505 3
0.9%
6508 1
 
0.3%
6509 7
2.1%
6511 3
0.9%
6514 1
 
0.3%
6515 3
0.9%
6516 3
0.9%
ValueCountFrequency (%)
137950 2
0.6%
137907 3
0.9%
137905 1
 
0.3%
137899 1
 
0.3%
137897 1
 
0.3%
137848 1
 
0.3%
137846 1
 
0.3%
137844 2
0.6%
137840 1
 
0.3%
137839 1
 
0.3%
Distinct328
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-04T03:13:35.254867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length30.566667
Min length16

Characters and Unicode

Total characters10087
Distinct characters252
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)98.8%

Sample

1st row서울특별시 서초구 서초중앙로24길 33 교대e편한세상아파트 관리동
2nd row서울특별시 서초구 신흥말길 79-3 103동 1층(내곡동, 무지개아파트)
3rd row서울특별시 서초구 방배천로24길 8 1층
4th row서울특별시 서초구 사평대로 310-4
5th row서울특별시 서초구 청계산로11길 10 101호
ValueCountFrequency (%)
서초구 330
 
17.5%
서울특별시 308
 
16.4%
1층 27
 
1.4%
방배동 26
 
1.4%
서울 22
 
1.2%
서초동 18
 
1.0%
태봉로2길 18
 
1.0%
양재대로2길 13
 
0.7%
반포동 13
 
0.7%
관리동 12
 
0.6%
Other values (602) 1095
58.2%
2024-05-04T03:13:36.584282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1554
 
15.4%
787
 
7.8%
1 507
 
5.0%
437
 
4.3%
358
 
3.5%
337
 
3.3%
335
 
3.3%
311
 
3.1%
311
 
3.1%
308
 
3.1%
Other values (242) 4842
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6074
60.2%
Decimal Number 1888
 
18.7%
Space Separator 1554
 
15.4%
Close Punctuation 185
 
1.8%
Open Punctuation 185
 
1.8%
Other Punctuation 105
 
1.0%
Dash Punctuation 77
 
0.8%
Uppercase Letter 13
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
787
 
13.0%
437
 
7.2%
358
 
5.9%
337
 
5.5%
335
 
5.5%
311
 
5.1%
311
 
5.1%
308
 
5.1%
282
 
4.6%
226
 
3.7%
Other values (213) 2382
39.2%
Decimal Number
ValueCountFrequency (%)
1 507
26.9%
0 270
14.3%
2 254
13.5%
3 215
11.4%
4 151
 
8.0%
5 148
 
7.8%
6 97
 
5.1%
8 93
 
4.9%
7 79
 
4.2%
9 74
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
L 4
30.8%
H 4
30.8%
B 2
15.4%
A 2
15.4%
T 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
d 1
16.7%
t 1
16.7%
k 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 100
95.2%
. 4
 
3.8%
@ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 184
99.5%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 184
99.5%
[ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6073
60.2%
Common 3994
39.6%
Latin 19
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
787
 
13.0%
437
 
7.2%
358
 
5.9%
337
 
5.5%
335
 
5.5%
311
 
5.1%
311
 
5.1%
308
 
5.1%
282
 
4.6%
226
 
3.7%
Other values (212) 2381
39.2%
Common
ValueCountFrequency (%)
1554
38.9%
1 507
 
12.7%
0 270
 
6.8%
2 254
 
6.4%
3 215
 
5.4%
) 184
 
4.6%
( 184
 
4.6%
4 151
 
3.8%
5 148
 
3.7%
, 100
 
2.5%
Other values (9) 427
 
10.7%
Latin
ValueCountFrequency (%)
L 4
21.1%
H 4
21.1%
B 2
10.5%
A 2
10.5%
e 2
10.5%
T 1
 
5.3%
s 1
 
5.3%
d 1
 
5.3%
t 1
 
5.3%
k 1
 
5.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6073
60.2%
ASCII 4013
39.8%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1554
38.7%
1 507
 
12.6%
0 270
 
6.7%
2 254
 
6.3%
3 215
 
5.4%
) 184
 
4.6%
( 184
 
4.6%
4 151
 
3.8%
5 148
 
3.7%
, 100
 
2.5%
Other values (19) 446
 
11.1%
Hangul
ValueCountFrequency (%)
787
 
13.0%
437
 
7.2%
358
 
5.9%
337
 
5.5%
335
 
5.5%
311
 
5.1%
311
 
5.1%
308
 
5.1%
282
 
4.6%
226
 
3.7%
Other values (212) 2381
39.2%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct321
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-04T03:13:37.482662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.333333
Min length9

Characters and Unicode

Total characters3740
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

Unique312 ?
Unique (%)94.5%

Sample

1st row02-591-1011
2nd row02-2226-9377
3rd row02-523-9340
4th row02-536-3104
5th row02-578-5111
ValueCountFrequency (%)
02-536-3567 2
 
0.6%
02-3473-1757 2
 
0.6%
02-532-6707 2
 
0.6%
02-591-3009 2
 
0.6%
02-581-5345 2
 
0.6%
02-594-8291 2
 
0.6%
02-535-7957 2
 
0.6%
02-3461-7942 2
 
0.6%
02-537-3921 2
 
0.6%
02-523-6085 1
 
0.3%
Other values (311) 311
94.2%
2024-05-04T03:13:38.723017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 660
17.6%
2 581
15.5%
0 547
14.6%
5 411
11.0%
7 276
7.4%
3 270
7.2%
9 207
 
5.5%
6 202
 
5.4%
4 199
 
5.3%
1 195
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3080
82.4%
Dash Punctuation 660
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 581
18.9%
0 547
17.8%
5 411
13.3%
7 276
9.0%
3 270
8.8%
9 207
 
6.7%
6 202
 
6.6%
4 199
 
6.5%
1 195
 
6.3%
8 192
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 660
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 660
17.6%
2 581
15.5%
0 547
14.6%
5 411
11.0%
7 276
7.4%
3 270
7.2%
9 207
 
5.5%
6 202
 
5.4%
4 199
 
5.3%
1 195
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 660
17.6%
2 581
15.5%
0 547
14.6%
5 411
11.0%
7 276
7.4%
3 270
7.2%
9 207
 
5.5%
6 202
 
5.4%
4 199
 
5.3%
1 195
 
5.2%

팩스번호
Text

MISSING 

Distinct247
Distinct (%)95.7%
Missing72
Missing (%)21.8%
Memory size2.7 KiB
2024-05-04T03:13:39.493455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.372093
Min length11

Characters and Unicode

Total characters2934
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

Unique236 ?
Unique (%)91.5%

Sample

1st row02-592-1101
2nd row02-536-3105
3rd row02-523-2045
4th row0504-375-3921
5th row02-534-2123
ValueCountFrequency (%)
02-536-3565 2
 
0.8%
02-593-6196 2
 
0.8%
02-581-5347 2
 
0.8%
02-597-8272 2
 
0.8%
02-525-5162 2
 
0.8%
02-579-6226 2
 
0.8%
02-592-8525 2
 
0.8%
02-586-9869 2
 
0.8%
02-585-3735 2
 
0.8%
02-591-3911 2
 
0.8%
Other values (237) 238
92.2%
2024-05-04T03:13:40.999397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 516
17.6%
2 452
15.4%
0 418
14.2%
5 328
11.2%
7 241
8.2%
3 218
7.4%
1 163
 
5.6%
6 154
 
5.2%
4 152
 
5.2%
8 146
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2418
82.4%
Dash Punctuation 516
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 452
18.7%
0 418
17.3%
5 328
13.6%
7 241
10.0%
3 218
9.0%
1 163
 
6.7%
6 154
 
6.4%
4 152
 
6.3%
8 146
 
6.0%
9 146
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 516
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 516
17.6%
2 452
15.4%
0 418
14.2%
5 328
11.2%
7 241
8.2%
3 218
7.4%
1 163
 
5.6%
6 154
 
5.2%
4 152
 
5.2%
8 146
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 516
17.6%
2 452
15.4%
0 418
14.2%
5 328
11.2%
7 241
8.2%
3 218
7.4%
1 163
 
5.6%
6 154
 
5.2%
4 152
 
5.2%
8 146
 
5.0%

홈페이지주소
Text

MISSING 

Distinct64
Distinct (%)100.0%
Missing266
Missing (%)80.6%
Memory size2.7 KiB
2024-05-04T03:13:42.120388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length31.5
Mean length25.21875
Min length2

Characters and Unicode

Total characters1614
Distinct characters81
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

Unique64 ?
Unique (%)100.0%

Sample

1st rowhttps://iseoul.seoul.go.kr/homepage/community/newsLetterList.do?stCode=11650000439
2nd rowhttps://cafe.naver.com/pilsc/1966
3rd rowhttp://naver.com/sahyang6688
4th rowhttps://iseoul.seoul.go,kr/homepage/main.do?stCode=11650000401
5th rowhttp://cafe.daum.net/acrosun3
ValueCountFrequency (%)
https://iseoul.seoul.go.kr/homepage/community/newsletterlist.do?stcode=11650000439 1
 
1.5%
www.puruni.com 1
 
1.5%
https://cafe.naver.com/hebronkids 1
 
1.5%
강남기쁜어린이집 1
 
1.5%
seochowc.or.kr 1
 
1.5%
wr4987@hanmail.net 1
 
1.5%
www.gunha.co.kr 1
 
1.5%
kalvite@hanmail.net 1
 
1.5%
myjeon1@hotmail.com 1
 
1.5%
https://cafe.naver.com/pilsc/1966 1
 
1.5%
Other values (58) 58
85.3%
2024-05-04T03:13:43.594180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 119
 
7.4%
o 117
 
7.2%
e 102
 
6.3%
a 94
 
5.8%
t 91
 
5.6%
/ 83
 
5.1%
n 80
 
5.0%
c 69
 
4.3%
r 64
 
4.0%
h 63
 
3.9%
Other values (71) 732
45.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1204
74.6%
Other Punctuation 243
 
15.1%
Decimal Number 105
 
6.5%
Other Letter 36
 
2.2%
Uppercase Letter 12
 
0.7%
Dash Punctuation 6
 
0.4%
Space Separator 4
 
0.2%
Math Symbol 3
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
11.1%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
Other values (18) 18
50.0%
Lowercase Letter
ValueCountFrequency (%)
o 117
 
9.7%
e 102
 
8.5%
a 94
 
7.8%
t 91
 
7.6%
n 80
 
6.6%
c 69
 
5.7%
r 64
 
5.3%
h 63
 
5.2%
s 62
 
5.1%
m 60
 
5.0%
Other values (14) 402
33.4%
Decimal Number
ValueCountFrequency (%)
0 21
20.0%
1 13
12.4%
3 12
11.4%
5 12
11.4%
2 10
9.5%
6 10
9.5%
7 9
8.6%
4 6
 
5.7%
9 6
 
5.7%
8 6
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
L 2
16.7%
A 1
 
8.3%
R 1
 
8.3%
E 1
 
8.3%
I 1
 
8.3%
S 1
 
8.3%
W 1
 
8.3%
D 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 119
49.0%
/ 83
34.2%
: 24
 
9.9%
@ 13
 
5.3%
? 3
 
1.2%
, 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1216
75.3%
Common 362
 
22.4%
Hangul 36
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 117
 
9.6%
e 102
 
8.4%
a 94
 
7.7%
t 91
 
7.5%
n 80
 
6.6%
c 69
 
5.7%
r 64
 
5.3%
h 63
 
5.2%
s 62
 
5.1%
m 60
 
4.9%
Other values (23) 414
34.0%
Hangul
ValueCountFrequency (%)
4
 
11.1%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
Other values (18) 18
50.0%
Common
ValueCountFrequency (%)
. 119
32.9%
/ 83
22.9%
: 24
 
6.6%
0 21
 
5.8%
@ 13
 
3.6%
1 13
 
3.6%
3 12
 
3.3%
5 12
 
3.3%
2 10
 
2.8%
6 10
 
2.8%
Other values (10) 45
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1578
97.8%
Hangul 36
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 119
 
7.5%
o 117
 
7.4%
e 102
 
6.5%
a 94
 
6.0%
t 91
 
5.8%
/ 83
 
5.3%
n 80
 
5.1%
c 69
 
4.4%
r 64
 
4.1%
h 63
 
4.0%
Other values (43) 696
44.1%
Hangul
ValueCountFrequency (%)
4
 
11.1%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
Other values (18) 18
50.0%

보육실수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3181818
Minimum0
Maximum16
Zeros10
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:44.057294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile8
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1149281
Coefficient of variation (CV)0.48977281
Kurtosis6.5120711
Mean4.3181818
Median Absolute Deviation (MAD)1
Skewness1.8088787
Sum1425
Variance4.4729207
MonotonicityNot monotonic
2024-05-04T03:13:44.519479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 103
31.2%
4 97
29.4%
5 45
13.6%
6 33
 
10.0%
7 13
 
3.9%
0 10
 
3.0%
2 6
 
1.8%
8 5
 
1.5%
9 4
 
1.2%
1 4
 
1.2%
Other values (6) 10
 
3.0%
ValueCountFrequency (%)
0 10
 
3.0%
1 4
 
1.2%
2 6
 
1.8%
3 103
31.2%
4 97
29.4%
5 45
13.6%
6 33
 
10.0%
7 13
 
3.9%
8 5
 
1.5%
9 4
 
1.2%
ValueCountFrequency (%)
16 1
 
0.3%
14 2
 
0.6%
13 1
 
0.3%
12 1
 
0.3%
11 3
 
0.9%
10 2
 
0.6%
9 4
 
1.2%
8 5
 
1.5%
7 13
 
3.9%
6 33
10.0%

보육실 면적
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.3697
Minimum0
Maximum1450
Zeros5
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:44.924046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q164
median106.5
Q3186
95-th percentile393.15
Maximum1450
Range1450
Interquartile range (IQR)122

Descriptive statistics

Standard deviation163.81442
Coefficient of variation (CV)1.0409528
Kurtosis22.547055
Mean157.3697
Median Absolute Deviation (MAD)50.5
Skewness3.9696942
Sum51932
Variance26835.164
MonotonicityNot monotonic
2024-05-04T03:13:45.404299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 7
 
2.1%
60 7
 
2.1%
64 6
 
1.8%
56 6
 
1.8%
0 5
 
1.5%
70 5
 
1.5%
54 5
 
1.5%
85 5
 
1.5%
62 5
 
1.5%
58 5
 
1.5%
Other values (179) 274
83.0%
ValueCountFrequency (%)
0 5
1.5%
1 1
 
0.3%
10 1
 
0.3%
11 1
 
0.3%
26 1
 
0.3%
35 1
 
0.3%
38 1
 
0.3%
41 1
 
0.3%
45 3
0.9%
46 1
 
0.3%
ValueCountFrequency (%)
1450 1
0.3%
1250 1
0.3%
1174 1
0.3%
811 1
0.3%
806 1
0.3%
654 1
0.3%
626 1
0.3%
605 1
0.3%
567 1
0.3%
532 1
0.3%

놀이터수
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
205 
1
84 
2
31 
3
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 205
62.1%
1 84
25.5%
2 31
 
9.4%
3 10
 
3.0%

Length

2024-05-04T03:13:45.962354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:13:46.373760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 205
62.1%
1 84
25.5%
2 31
 
9.4%
3 10
 
3.0%

CCTV총설치수
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4060606
Minimum0
Maximum94
Zeros59
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:46.798524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median5
Q311
95-th percentile25
Maximum94
Range94
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.177391
Coefficient of variation (CV)1.2107207
Kurtosis23.964877
Mean8.4060606
Median Absolute Deviation (MAD)3
Skewness3.8421706
Sum2774
Variance103.57929
MonotonicityNot monotonic
2024-05-04T03:13:47.162329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4 89
27.0%
0 59
17.9%
5 22
 
6.7%
8 21
 
6.4%
6 15
 
4.5%
16 14
 
4.2%
7 12
 
3.6%
3 10
 
3.0%
9 10
 
3.0%
20 8
 
2.4%
Other values (21) 70
21.2%
ValueCountFrequency (%)
0 59
17.9%
3 10
 
3.0%
4 89
27.0%
5 22
 
6.7%
6 15
 
4.5%
7 12
 
3.6%
8 21
 
6.4%
9 10
 
3.0%
10 5
 
1.5%
11 7
 
2.1%
ValueCountFrequency (%)
94 1
 
0.3%
82 1
 
0.3%
48 3
0.9%
32 3
0.9%
31 2
0.6%
28 1
 
0.3%
27 1
 
0.3%
26 4
1.2%
25 3
0.9%
24 1
 
0.3%

보육교직원수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5454545
Minimum0
Maximum59
Zeros160
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:47.545432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q311
95-th percentile21
Maximum59
Range59
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.3188397
Coefficient of variation (CV)1.2709339
Kurtosis6.1639797
Mean6.5454545
Median Absolute Deviation (MAD)5
Skewness1.8784521
Sum2160
Variance69.203095
MonotonicityNot monotonic
2024-05-04T03:13:47.965072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 160
48.5%
8 20
 
6.1%
7 16
 
4.8%
10 15
 
4.5%
14 14
 
4.2%
13 13
 
3.9%
9 13
 
3.9%
12 13
 
3.9%
6 10
 
3.0%
11 8
 
2.4%
Other values (20) 48
 
14.5%
ValueCountFrequency (%)
0 160
48.5%
1 1
 
0.3%
4 2
 
0.6%
5 4
 
1.2%
6 10
 
3.0%
7 16
 
4.8%
8 20
 
6.1%
9 13
 
3.9%
10 15
 
4.5%
11 8
 
2.4%
ValueCountFrequency (%)
59 1
0.3%
44 1
0.3%
39 1
0.3%
37 1
0.3%
33 1
0.3%
31 1
0.3%
28 2
0.6%
26 1
0.3%
25 1
0.3%
23 2
0.6%

정원
Real number (ℝ)

Distinct94
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.081818
Minimum0
Maximum300
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:48.498541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q120
median30
Q354
95-th percentile123.3
Maximum300
Range300
Interquartile range (IQR)34

Descriptive statistics

Standard deviation39.710533
Coefficient of variation (CV)0.900837
Kurtosis9.5592014
Mean44.081818
Median Absolute Deviation (MAD)11
Skewness2.6809903
Sum14547
Variance1576.9264
MonotonicityNot monotonic
2024-05-04T03:13:49.083808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 86
26.1%
19 14
 
4.2%
18 12
 
3.6%
30 10
 
3.0%
17 9
 
2.7%
16 9
 
2.7%
42 8
 
2.4%
39 8
 
2.4%
49 7
 
2.1%
54 5
 
1.5%
Other values (84) 162
49.1%
ValueCountFrequency (%)
0 2
 
0.6%
11 2
 
0.6%
12 1
 
0.3%
13 2
 
0.6%
14 2
 
0.6%
15 4
 
1.2%
16 9
2.7%
17 9
2.7%
18 12
3.6%
19 14
4.2%
ValueCountFrequency (%)
300 1
0.3%
237 1
0.3%
230 1
0.3%
200 1
0.3%
198 1
0.3%
185 1
0.3%
175 1
0.3%
162 2
0.6%
157 1
0.3%
146 1
0.3%

현원
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.493939
Minimum0
Maximum212
Zeros160
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:49.709485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.5
Q333.75
95-th percentile72.55
Maximum212
Range212
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation30.996739
Coefficient of variation (CV)1.4421153
Kurtosis8.4190312
Mean21.493939
Median Absolute Deviation (MAD)9.5
Skewness2.3860752
Sum7093
Variance960.79784
MonotonicityNot monotonic
2024-05-04T03:13:50.298914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
48.5%
20 16
 
4.8%
18 8
 
2.4%
24 7
 
2.1%
29 6
 
1.8%
17 6
 
1.8%
19 5
 
1.5%
15 5
 
1.5%
40 4
 
1.2%
33 4
 
1.2%
Other values (62) 109
33.0%
ValueCountFrequency (%)
0 160
48.5%
4 1
 
0.3%
8 3
 
0.9%
9 1
 
0.3%
10 2
 
0.6%
11 1
 
0.3%
13 2
 
0.6%
14 1
 
0.3%
15 5
 
1.5%
16 4
 
1.2%
ValueCountFrequency (%)
212 1
0.3%
186 1
0.3%
173 1
0.3%
147 1
0.3%
121 1
0.3%
119 1
0.3%
113 1
0.3%
103 1
0.3%
96 2
0.6%
88 1
0.3%

시설 위도(좌표값)
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)88.6%
Missing24
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean37.487869
Minimum37.443748
Maximum37.56647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:50.908961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.443748
5-th percentile37.454909
Q137.472356
median37.487749
Q337.502212
95-th percentile37.516277
Maximum37.56647
Range0.12272205
Interquartile range (IQR)0.029855848

Descriptive statistics

Standard deviation0.022152441
Coefficient of variation (CV)0.00059092291
Kurtosis1.9633326
Mean37.487869
Median Absolute Deviation (MAD)0.014831979
Skewness0.79469865
Sum11471.288
Variance0.00049073063
MonotonicityNot monotonic
2024-05-04T03:13:51.393165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56647 7
 
2.1%
37.46565137338146 6
 
1.8%
37.45760529511508 5
 
1.5%
37.48857204 3
 
0.9%
37.45912995209635 3
 
0.9%
37.50958767 3
 
0.9%
37.44968392165928 2
 
0.6%
37.45611531776572 2
 
0.6%
37.45324519832108 2
 
0.6%
37.51328057 2
 
0.6%
Other values (261) 271
82.1%
(Missing) 24
 
7.3%
ValueCountFrequency (%)
37.44374795 1
0.3%
37.44401897798263 1
0.3%
37.447366072393805 1
0.3%
37.44749671118255 1
0.3%
37.44968392165928 2
0.6%
37.44974119890253 1
0.3%
37.45114286811606 1
0.3%
37.45190234034128 1
0.3%
37.45318114 1
0.3%
37.45324519832108 2
0.6%
ValueCountFrequency (%)
37.56647 7
2.1%
37.54759008044978 1
 
0.3%
37.52054052 1
 
0.3%
37.52016872 1
 
0.3%
37.51995969 1
 
0.3%
37.51967717 1
 
0.3%
37.51904534349191 1
 
0.3%
37.51779289076051 1
 
0.3%
37.51633536228992 2
 
0.6%
37.51610298 1
 
0.3%

시설 경도(좌표값)
Real number (ℝ)

MISSING 

Distinct271
Distinct (%)88.6%
Missing24
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean127.01421
Minimum126.97796
Maximum127.07075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:51.988687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97796
5-th percentile126.98384
Q1126.99688
median127.01358
Q3127.02558
95-th percentile127.05716
Maximum127.07075
Range0.092788
Interquartile range (IQR)0.028696378

Descriptive statistics

Standard deviation0.021269384
Coefficient of variation (CV)0.00016745673
Kurtosis-0.14525867
Mean127.01421
Median Absolute Deviation (MAD)0.012780805
Skewness0.47431358
Sum38866.348
Variance0.00045238668
MonotonicityNot monotonic
2024-05-04T03:13:52.519620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.977963 7
 
2.1%
127.02718099282652 6
 
1.8%
127.01757113113038 5
 
1.5%
126.9838361 3
 
0.9%
127.02553981704536 3
 
0.9%
127.0105368 3
 
0.9%
127.05624020107132 2
 
0.6%
127.01378434712484 2
 
0.6%
127.06247700507754 2
 
0.6%
127.0090809 2
 
0.6%
Other values (261) 271
82.1%
(Missing) 24
 
7.3%
ValueCountFrequency (%)
126.977963 7
2.1%
126.9825992517 1
 
0.3%
126.9827743 1
 
0.3%
126.9828056 1
 
0.3%
126.9828739 1
 
0.3%
126.98310358024327 1
 
0.3%
126.9836885 1
 
0.3%
126.98373874653883 1
 
0.3%
126.9838361 3
0.9%
126.9838589809336 1
 
0.3%
ValueCountFrequency (%)
127.070751 1
0.3%
127.07042957979829 1
0.3%
127.06642018673132 1
0.3%
127.0654599 1
0.3%
127.0647962591456 1
0.3%
127.06470748859124 1
0.3%
127.06269231445305 1
0.3%
127.06247700507754 2
0.6%
127.06217099875767 1
0.3%
127.06186282963584 1
0.3%
Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
미운영
277 
<NA>
30 
운영
 
23

Length

Max length4
Median length3
Mean length3.0212121
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미운영 277
83.9%
<NA> 30
 
9.1%
운영 23
 
7.0%

Length

2024-05-04T03:13:53.021004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:13:53.562500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미운영 277
83.9%
na 30
 
9.1%
운영 23
 
7.0%
Distinct276
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1982-12-20 00:00:00
Maximum2022-03-01 00:00:00
2024-05-04T03:13:54.065754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T03:13:54.612785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴지시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

휴지종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing330
Missing (%)100.0%
Memory size3.0 KiB

폐지일자
Date

MISSING 

Distinct102
Distinct (%)64.6%
Missing172
Missing (%)52.1%
Memory size2.7 KiB
Minimum2008-03-17 00:00:00
Maximum2022-08-01 00:00:00
2024-05-04T03:13:55.151020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T03:13:55.771930image/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 size2.7 KiB
Minimum2022-10-26 00:00:00
Maximum2022-10-26 00:00:00
2024-05-04T03:13:56.114692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T03:13:56.512941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

제공서비스
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
일반
217 
야간연장
84 
장애아통합,야간연장
 
8
장애아통합
 
5
방과후 전담
 
4
Other values (7)
 
12

Length

Max length11
Median length2
Mean length3
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
일반 217
65.8%
야간연장 84
 
25.5%
장애아통합,야간연장 8
 
2.4%
장애아통합 5
 
1.5%
방과후 전담 4
 
1.2%
야간연장,휴일보육 3
 
0.9%
시간제보육 2
 
0.6%
일반,시간제보육 2
 
0.6%
휴일보육 2
 
0.6%
장애아통합,시간제보육 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-05-04T03:13:57.117898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 217
65.0%
야간연장 84
 
25.1%
장애아통합,야간연장 8
 
2.4%
장애아통합 5
 
1.5%
방과후 4
 
1.2%
전담 4
 
1.2%
야간연장,휴일보육 3
 
0.9%
시간제보육 2
 
0.6%
일반,시간제보육 2
 
0.6%
휴일보육 2
 
0.6%
Other values (3) 3
 
0.9%

반수-만0세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1818182
Minimum0
Maximum5
Zeros141
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:57.504948image/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 deviation1.2776913
Coefficient of variation (CV)1.0811234
Kurtosis-0.46551265
Mean1.1818182
Median Absolute Deviation (MAD)1
Skewness0.77272441
Sum390
Variance1.6324952
MonotonicityNot monotonic
2024-05-04T03:13:58.185053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 141
42.7%
1 69
20.9%
2 59
17.9%
3 43
 
13.0%
4 16
 
4.8%
5 2
 
0.6%
ValueCountFrequency (%)
0 141
42.7%
1 69
20.9%
2 59
17.9%
3 43
 
13.0%
4 16
 
4.8%
5 2
 
0.6%
ValueCountFrequency (%)
5 2
 
0.6%
4 16
 
4.8%
3 43
 
13.0%
2 59
17.9%
1 69
20.9%
0 141
42.7%

반수-만1세
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8060606
Minimum0
Maximum15
Zeros65
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:58.711066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6498944
Coefficient of variation (CV)0.91353215
Kurtosis16.754801
Mean1.8060606
Median Absolute Deviation (MAD)1
Skewness2.8498411
Sum596
Variance2.7221516
MonotonicityNot monotonic
2024-05-04T03:13:59.498666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 117
35.5%
1 77
23.3%
0 65
19.7%
3 40
 
12.1%
4 19
 
5.8%
6 6
 
1.8%
8 2
 
0.6%
5 2
 
0.6%
15 1
 
0.3%
12 1
 
0.3%
ValueCountFrequency (%)
0 65
19.7%
1 77
23.3%
2 117
35.5%
3 40
 
12.1%
4 19
 
5.8%
5 2
 
0.6%
6 6
 
1.8%
8 2
 
0.6%
12 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
15 1
 
0.3%
12 1
 
0.3%
8 2
 
0.6%
6 6
 
1.8%
5 2
 
0.6%
4 19
 
5.8%
3 40
 
12.1%
2 117
35.5%
1 77
23.3%
0 65
19.7%

반수-만2세
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7121212
Minimum0
Maximum10
Zeros52
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:13:59.997051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3965345
Coefficient of variation (CV)0.81567501
Kurtosis5.5759521
Mean1.7121212
Median Absolute Deviation (MAD)1
Skewness1.7436853
Sum565
Variance1.9503086
MonotonicityNot monotonic
2024-05-04T03:14:00.592402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 114
34.5%
1 107
32.4%
0 52
15.8%
3 29
 
8.8%
4 12
 
3.6%
5 8
 
2.4%
6 5
 
1.5%
10 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
0 52
15.8%
1 107
32.4%
2 114
34.5%
3 29
 
8.8%
4 12
 
3.6%
5 8
 
2.4%
6 5
 
1.5%
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 5
 
1.5%
5 8
 
2.4%
4 12
 
3.6%
3 29
 
8.8%
2 114
34.5%
1 107
32.4%
0 52
15.8%

반수-만3세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum7
Zeros218
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:01.073911image/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 deviation0.88296957
Coefficient of variation (CV)1.7659391
Kurtosis13.226191
Mean0.5
Median Absolute Deviation (MAD)0
Skewness2.8652776
Sum165
Variance0.77963526
MonotonicityNot monotonic
2024-05-04T03:14:01.391194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 218
66.1%
1 77
 
23.3%
2 24
 
7.3%
3 9
 
2.7%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
0 218
66.1%
1 77
 
23.3%
2 24
 
7.3%
3 9
 
2.7%
6 1
 
0.3%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
6 1
 
0.3%
3 9
 
2.7%
2 24
 
7.3%
1 77
 
23.3%
0 218
66.1%

반수-만4세
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
292 
1
 
27
2
 
9
4
 
1
8
 
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 (%)
0 292
88.5%
1 27
 
8.2%
2 9
 
2.7%
4 1
 
0.3%
8 1
 
0.3%

Length

2024-05-04T03:14:02.164579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:02.516116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 292
88.5%
1 27
 
8.2%
2 9
 
2.7%
4 1
 
0.3%
8 1
 
0.3%

반수-만5세
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
286 
1
35 
2
 
6
4
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 286
86.7%
1 35
 
10.6%
2 6
 
1.8%
4 2
 
0.6%
3 1
 
0.3%

Length

2024-05-04T03:14:02.940269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:03.276843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 286
86.7%
1 35
 
10.6%
2 6
 
1.8%
4 2
 
0.6%
3 1
 
0.3%

반수-영아혼합(만0~2세)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1333333
Minimum0
Maximum8
Zeros162
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:03.569011image/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 deviation1.4753634
Coefficient of variation (CV)1.3017912
Kurtosis3.0232946
Mean1.1333333
Median Absolute Deviation (MAD)1
Skewness1.5852582
Sum374
Variance2.1766971
MonotonicityNot monotonic
2024-05-04T03:14:03.891274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 162
49.1%
2 60
 
18.2%
1 58
 
17.6%
3 23
 
7.0%
4 17
 
5.2%
5 6
 
1.8%
8 2
 
0.6%
7 1
 
0.3%
6 1
 
0.3%
ValueCountFrequency (%)
0 162
49.1%
1 58
 
17.6%
2 60
 
18.2%
3 23
 
7.0%
4 17
 
5.2%
5 6
 
1.8%
6 1
 
0.3%
7 1
 
0.3%
8 2
 
0.6%
ValueCountFrequency (%)
8 2
 
0.6%
7 1
 
0.3%
6 1
 
0.3%
5 6
 
1.8%
4 17
 
5.2%
3 23
 
7.0%
2 60
 
18.2%
1 58
 
17.6%
0 162
49.1%
Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
234 
1
65 
2
 
23
3
 
7
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 234
70.9%
1 65
 
19.7%
2 23
 
7.0%
3 7
 
2.1%
6 1
 
0.3%

Length

2024-05-04T03:14:04.268920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:04.633809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 234
70.9%
1 65
 
19.7%
2 23
 
7.0%
3 7
 
2.1%
6 1
 
0.3%

반수-특수장애
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11818182
Minimum0
Maximum8
Zeros316
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:05.076202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67159229
Coefficient of variation (CV)5.682704
Kurtosis70.376721
Mean0.11818182
Median Absolute Deviation (MAD)0
Skewness7.610419
Sum39
Variance0.4510362
MonotonicityNot monotonic
2024-05-04T03:14:05.604531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 316
95.8%
3 5
 
1.5%
2 4
 
1.2%
1 3
 
0.9%
8 1
 
0.3%
5 1
 
0.3%
ValueCountFrequency (%)
0 316
95.8%
1 3
 
0.9%
2 4
 
1.2%
3 5
 
1.5%
5 1
 
0.3%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
5 1
 
0.3%
3 5
 
1.5%
2 4
 
1.2%
1 3
 
0.9%
0 316
95.8%

반수-총계
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2181818
Minimum0
Maximum39
Zeros16
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:06.024212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median6
Q39
95-th percentile15
Maximum39
Range39
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.5450434
Coefficient of variation (CV)0.62966596
Kurtosis9.1437382
Mean7.2181818
Median Absolute Deviation (MAD)2
Skewness2.0777675
Sum2382
Variance20.657419
MonotonicityNot monotonic
2024-05-04T03:14:06.434718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6 50
15.2%
5 44
13.3%
7 41
12.4%
4 31
9.4%
8 28
8.5%
10 22
6.7%
9 22
6.7%
0 16
 
4.8%
3 14
 
4.2%
11 12
 
3.6%
Other values (15) 50
15.2%
ValueCountFrequency (%)
0 16
 
4.8%
1 2
 
0.6%
2 11
 
3.3%
3 14
 
4.2%
4 31
9.4%
5 44
13.3%
6 50
15.2%
7 41
12.4%
8 28
8.5%
9 22
6.7%
ValueCountFrequency (%)
39 1
 
0.3%
28 1
 
0.3%
24 1
 
0.3%
23 1
 
0.3%
22 2
 
0.6%
20 1
 
0.3%
19 2
 
0.6%
18 4
1.2%
16 2
 
0.6%
15 5
1.5%

아동수-만0세
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8787879
Minimum0
Maximum12
Zeros223
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:06.801701image/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 deviation3.0800621
Coefficient of variation (CV)1.6393879
Kurtosis0.78732023
Mean1.8787879
Median Absolute Deviation (MAD)0
Skewness1.4283036
Sum620
Variance9.4867827
MonotonicityNot monotonic
2024-05-04T03:14:07.347250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 223
67.6%
6 35
 
10.6%
3 27
 
8.2%
9 25
 
7.6%
5 8
 
2.4%
2 3
 
0.9%
12 3
 
0.9%
4 3
 
0.9%
1 2
 
0.6%
8 1
 
0.3%
ValueCountFrequency (%)
0 223
67.6%
1 2
 
0.6%
2 3
 
0.9%
3 27
 
8.2%
4 3
 
0.9%
5 8
 
2.4%
6 35
 
10.6%
8 1
 
0.3%
9 25
 
7.6%
12 3
 
0.9%
ValueCountFrequency (%)
12 3
 
0.9%
9 25
 
7.6%
8 1
 
0.3%
6 35
 
10.6%
5 8
 
2.4%
4 3
 
0.9%
3 27
 
8.2%
2 3
 
0.9%
1 2
 
0.6%
0 223
67.6%

아동수-만1세
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8393939
Minimum0
Maximum52
Zeros178
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:07.823525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile15
Maximum52
Range52
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.0943464
Coefficient of variation (CV)1.4659576
Kurtosis11.028957
Mean4.8393939
Median Absolute Deviation (MAD)0
Skewness2.5392713
Sum1597
Variance50.32975
MonotonicityNot monotonic
2024-05-04T03:14:08.302649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 178
53.9%
10 57
 
17.3%
5 23
 
7.0%
15 12
 
3.6%
9 12
 
3.6%
4 11
 
3.3%
20 10
 
3.0%
3 6
 
1.8%
6 4
 
1.2%
8 4
 
1.2%
Other values (8) 13
 
3.9%
ValueCountFrequency (%)
0 178
53.9%
3 6
 
1.8%
4 11
 
3.3%
5 23
 
7.0%
6 4
 
1.2%
8 4
 
1.2%
9 12
 
3.6%
10 57
 
17.3%
12 3
 
0.9%
13 1
 
0.3%
ValueCountFrequency (%)
52 1
 
0.3%
50 1
 
0.3%
34 1
 
0.3%
30 2
 
0.6%
20 10
3.0%
19 1
 
0.3%
15 12
3.6%
14 3
 
0.9%
13 1
 
0.3%
12 3
 
0.9%

아동수-만2세
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6090909
Minimum0
Maximum57
Zeros181
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:08.653578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile21
Maximum57
Range57
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.1469357
Coefficient of variation (CV)1.4524521
Kurtosis6.6033288
Mean5.6090909
Median Absolute Deviation (MAD)0
Skewness2.0767159
Sum1851
Variance66.372561
MonotonicityNot monotonic
2024-05-04T03:14:09.069968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 181
54.8%
14 39
 
11.8%
7 22
 
6.7%
6 16
 
4.8%
13 11
 
3.3%
10 6
 
1.8%
5 6
 
1.8%
4 6
 
1.8%
8 5
 
1.5%
11 4
 
1.2%
Other values (20) 34
 
10.3%
ValueCountFrequency (%)
0 181
54.8%
2 1
 
0.3%
3 2
 
0.6%
4 6
 
1.8%
5 6
 
1.8%
6 16
 
4.8%
7 22
 
6.7%
8 5
 
1.5%
9 3
 
0.9%
10 6
 
1.8%
ValueCountFrequency (%)
57 1
0.3%
42 1
0.3%
38 1
0.3%
37 1
0.3%
35 1
0.3%
28 2
0.6%
27 1
0.3%
26 1
0.3%
24 1
0.3%
23 2
0.6%

아동수-만3세
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1454545
Minimum0
Maximum48
Zeros260
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:09.625433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.3155159
Coefficient of variation (CV)2.325742
Kurtosis11.119226
Mean3.1454545
Median Absolute Deviation (MAD)0
Skewness3.0383097
Sum1038
Variance53.516773
MonotonicityNot monotonic
2024-05-04T03:14:10.109437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 260
78.8%
10 9
 
2.7%
14 9
 
2.7%
12 8
 
2.4%
11 7
 
2.1%
15 4
 
1.2%
7 4
 
1.2%
13 3
 
0.9%
18 2
 
0.6%
29 2
 
0.6%
Other values (16) 22
 
6.7%
ValueCountFrequency (%)
0 260
78.8%
2 1
 
0.3%
4 1
 
0.3%
5 2
 
0.6%
6 1
 
0.3%
7 4
 
1.2%
8 1
 
0.3%
9 2
 
0.6%
10 9
 
2.7%
11 7
 
2.1%
ValueCountFrequency (%)
48 1
0.3%
42 2
0.6%
39 1
0.3%
30 1
0.3%
29 2
0.6%
28 1
0.3%
24 1
0.3%
21 1
0.3%
20 2
0.6%
18 2
0.6%

아동수-만4세
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3484848
Minimum0
Maximum41
Zeros304
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:10.514910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11.55
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.231691
Coefficient of variation (CV)3.8796809
Kurtosis23.759917
Mean1.3484848
Median Absolute Deviation (MAD)0
Skewness4.6313009
Sum445
Variance27.37059
MonotonicityNot monotonic
2024-05-04T03:14:10.878412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 304
92.1%
11 4
 
1.2%
8 3
 
0.9%
32 2
 
0.6%
15 2
 
0.6%
17 2
 
0.6%
10 2
 
0.6%
19 2
 
0.6%
13 2
 
0.6%
41 1
 
0.3%
Other values (6) 6
 
1.8%
ValueCountFrequency (%)
0 304
92.1%
8 3
 
0.9%
10 2
 
0.6%
11 4
 
1.2%
12 1
 
0.3%
13 2
 
0.6%
14 1
 
0.3%
15 2
 
0.6%
16 1
 
0.3%
17 2
 
0.6%
ValueCountFrequency (%)
41 1
0.3%
34 1
0.3%
32 2
0.6%
26 1
0.3%
22 1
0.3%
19 2
0.6%
17 2
0.6%
16 1
0.3%
15 2
0.6%
14 1
0.3%

아동수-만5세
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5575758
Minimum0
Maximum38
Zeros298
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:11.236902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.1845592
Coefficient of variation (CV)3.328608
Kurtosis14.933108
Mean1.5575758
Median Absolute Deviation (MAD)0
Skewness3.7136143
Sum514
Variance26.879654
MonotonicityNot monotonic
2024-05-04T03:14:11.612527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 298
90.3%
16 5
 
1.5%
15 4
 
1.2%
13 3
 
0.9%
11 2
 
0.6%
18 2
 
0.6%
9 2
 
0.6%
7 2
 
0.6%
28 2
 
0.6%
10 2
 
0.6%
Other values (8) 8
 
2.4%
ValueCountFrequency (%)
0 298
90.3%
7 2
 
0.6%
9 2
 
0.6%
10 2
 
0.6%
11 2
 
0.6%
12 1
 
0.3%
13 3
 
0.9%
14 1
 
0.3%
15 4
 
1.2%
16 5
 
1.5%
ValueCountFrequency (%)
38 1
 
0.3%
28 2
 
0.6%
26 1
 
0.3%
23 1
 
0.3%
20 1
 
0.3%
19 1
 
0.3%
18 2
 
0.6%
17 1
 
0.3%
16 5
1.5%
15 4
1.2%

아동수-영아혼합(만0~2세)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71212121
Minimum0
Maximum10
Zeros288
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:11.990256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.55
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0611116
Coefficient of variation (CV)2.8943269
Kurtosis8.468989
Mean0.71212121
Median Absolute Deviation (MAD)0
Skewness3.0314905
Sum235
Variance4.2481809
MonotonicityNot monotonic
2024-05-04T03:14:12.476892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 288
87.3%
3 10
 
3.0%
5 9
 
2.7%
8 6
 
1.8%
10 4
 
1.2%
7 4
 
1.2%
4 4
 
1.2%
2 2
 
0.6%
9 2
 
0.6%
6 1
 
0.3%
ValueCountFrequency (%)
0 288
87.3%
2 2
 
0.6%
3 10
 
3.0%
4 4
 
1.2%
5 9
 
2.7%
6 1
 
0.3%
7 4
 
1.2%
8 6
 
1.8%
9 2
 
0.6%
10 4
 
1.2%
ValueCountFrequency (%)
10 4
 
1.2%
9 2
 
0.6%
8 6
 
1.8%
7 4
 
1.2%
6 1
 
0.3%
5 9
 
2.7%
4 4
 
1.2%
3 10
 
3.0%
2 2
 
0.6%
0 288
87.3%

아동수-유아혼합(만3~5세)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0515152
Minimum0
Maximum33
Zeros275
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:12.782863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum33
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2320395
Coefficient of variation (CV)2.5503295
Kurtosis9.4996187
Mean2.0515152
Median Absolute Deviation (MAD)0
Skewness2.923831
Sum677
Variance27.374238
MonotonicityNot monotonic
2024-05-04T03:14:13.151733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 275
83.3%
11 7
 
2.1%
12 7
 
2.1%
5 6
 
1.8%
17 5
 
1.5%
14 4
 
1.2%
7 4
 
1.2%
6 3
 
0.9%
10 3
 
0.9%
13 3
 
0.9%
Other values (9) 13
 
3.9%
ValueCountFrequency (%)
0 275
83.3%
2 1
 
0.3%
5 6
 
1.8%
6 3
 
0.9%
7 4
 
1.2%
8 2
 
0.6%
10 3
 
0.9%
11 7
 
2.1%
12 7
 
2.1%
13 3
 
0.9%
ValueCountFrequency (%)
33 2
 
0.6%
25 1
 
0.3%
20 1
 
0.3%
19 1
 
0.3%
18 2
 
0.6%
17 5
1.5%
16 1
 
0.3%
15 2
 
0.6%
14 4
1.2%
13 3
0.9%

아동수-특수장애
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27272727
Minimum0
Maximum15
Zeros316
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:13.505072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.497165
Coefficient of variation (CV)5.4896052
Kurtosis44.87387
Mean0.27272727
Median Absolute Deviation (MAD)0
Skewness6.3822998
Sum90
Variance2.2415032
MonotonicityNot monotonic
2024-05-04T03:14:13.897002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 316
95.8%
9 4
 
1.2%
3 2
 
0.6%
4 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
2 1
 
0.3%
7 1
 
0.3%
15 1
 
0.3%
8 1
 
0.3%
ValueCountFrequency (%)
0 316
95.8%
1 1
 
0.3%
2 1
 
0.3%
3 2
 
0.6%
4 1
 
0.3%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
9 4
 
1.2%
ValueCountFrequency (%)
15 1
 
0.3%
9 4
1.2%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
4 1
 
0.3%
3 2
0.6%
2 1
 
0.3%
1 1
 
0.3%

아동수-총계
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.415152
Minimum0
Maximum212
Zeros161
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:14.525508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.5
Q333.75
95-th percentile72.55
Maximum212
Range212
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation31.018287
Coefficient of variation (CV)1.4484271
Kurtosis8.4124873
Mean21.415152
Median Absolute Deviation (MAD)8.5
Skewness2.3877458
Sum7067
Variance962.13412
MonotonicityNot monotonic
2024-05-04T03:14:14.974574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
48.8%
20 16
 
4.8%
18 8
 
2.4%
24 7
 
2.1%
29 6
 
1.8%
17 6
 
1.8%
15 5
 
1.5%
19 5
 
1.5%
40 4
 
1.2%
38 4
 
1.2%
Other values (62) 108
32.7%
ValueCountFrequency (%)
0 161
48.8%
4 1
 
0.3%
8 3
 
0.9%
9 1
 
0.3%
10 2
 
0.6%
11 1
 
0.3%
13 2
 
0.6%
14 1
 
0.3%
15 5
 
1.5%
16 4
 
1.2%
ValueCountFrequency (%)
212 1
0.3%
186 1
0.3%
173 1
0.3%
147 1
0.3%
121 1
0.3%
119 1
0.3%
113 1
0.3%
103 1
0.3%
96 2
0.6%
88 1
0.3%

근속년수-1년미만
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)28.2%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean50.894118
Minimum0
Maximum100
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:15.415888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q133
median46
Q367
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)34

Descriptive statistics

Standard deviation24.54655
Coefficient of variation (CV)0.48230622
Kurtosis-0.46134746
Mean50.894118
Median Absolute Deviation (MAD)16.5
Skewness0.42844909
Sum8652
Variance602.5331
MonotonicityNot monotonic
2024-05-04T03:14:15.928768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
100 15
 
4.5%
33 14
 
4.2%
50 11
 
3.3%
67 9
 
2.7%
40 9
 
2.7%
43 9
 
2.7%
57 8
 
2.4%
29 8
 
2.4%
36 5
 
1.5%
38 5
 
1.5%
Other values (38) 77
23.3%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 3
0.9%
10 1
 
0.3%
11 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
17 3
0.9%
18 2
0.6%
20 4
1.2%
22 3
0.9%
25 4
1.2%
ValueCountFrequency (%)
100 15
4.5%
90 1
 
0.3%
88 2
 
0.6%
86 2
 
0.6%
83 1
 
0.3%
82 1
 
0.3%
81 1
 
0.3%
80 3
 
0.9%
78 2
 
0.6%
75 4
 
1.2%

근속년수-1년이상~2년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)17.6%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean14.052941
Minimum0
Maximum75
Zeros61
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:16.408095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q320.75
95-th percentile44
Maximum75
Range75
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation15.482482
Coefficient of variation (CV)1.1017254
Kurtosis1.9284578
Mean14.052941
Median Absolute Deviation (MAD)10
Skewness1.3512548
Sum2389
Variance239.70724
MonotonicityNot monotonic
2024-05-04T03:14:16.846116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 61
 
18.5%
14 10
 
3.0%
33 10
 
3.0%
9 8
 
2.4%
13 7
 
2.1%
10 7
 
2.1%
20 7
 
2.1%
29 6
 
1.8%
17 6
 
1.8%
8 5
 
1.5%
Other values (20) 43
 
13.0%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 61
18.5%
6 2
 
0.6%
7 4
 
1.2%
8 5
 
1.5%
9 8
 
2.4%
10 7
 
2.1%
11 3
 
0.9%
13 7
 
2.1%
14 10
 
3.0%
15 1
 
0.3%
ValueCountFrequency (%)
75 1
 
0.3%
67 2
 
0.6%
54 1
 
0.3%
50 4
 
1.2%
44 3
 
0.9%
43 1
 
0.3%
38 1
 
0.3%
36 1
 
0.3%
33 10
3.0%
31 1
 
0.3%

근속년수-2년이상~4년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)22.4%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean19.258824
Minimum0
Maximum80
Zeros45
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:17.367490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q329
95-th percentile50
Maximum80
Range80
Interquartile range (IQR)29

Descriptive statistics

Standard deviation16.852407
Coefficient of variation (CV)0.87504862
Kurtosis0.4383942
Mean19.258824
Median Absolute Deviation (MAD)13
Skewness0.79798476
Sum3274
Variance284.00362
MonotonicityNot monotonic
2024-05-04T03:14:17.891168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 45
 
13.6%
13 10
 
3.0%
17 9
 
2.7%
14 9
 
2.7%
33 9
 
2.7%
29 9
 
2.7%
25 7
 
2.1%
40 6
 
1.8%
20 5
 
1.5%
11 5
 
1.5%
Other values (28) 56
 
17.0%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 45
13.6%
6 1
 
0.3%
8 4
 
1.2%
9 4
 
1.2%
11 5
 
1.5%
12 1
 
0.3%
13 10
 
3.0%
14 9
 
2.7%
15 1
 
0.3%
17 9
 
2.7%
ValueCountFrequency (%)
80 1
 
0.3%
67 1
 
0.3%
64 1
 
0.3%
60 1
 
0.3%
57 2
0.6%
56 1
 
0.3%
55 1
 
0.3%
50 2
0.6%
46 1
 
0.3%
44 3
0.9%

근속년수-4년이상~6년미만
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)15.9%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean8.5235294
Minimum0
Maximum60
Zeros90
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:18.404907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile33
Maximum60
Range60
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.631524
Coefficient of variation (CV)1.364637
Kurtosis2.320332
Mean8.5235294
Median Absolute Deviation (MAD)0
Skewness1.5185581
Sum1449
Variance135.29234
MonotonicityNot monotonic
2024-05-04T03:14:18.857222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 90
27.3%
13 9
 
2.7%
14 8
 
2.4%
11 7
 
2.1%
17 7
 
2.1%
20 6
 
1.8%
29 6
 
1.8%
18 4
 
1.2%
33 4
 
1.2%
9 4
 
1.2%
Other values (17) 25
 
7.6%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 90
27.3%
2 1
 
0.3%
4 1
 
0.3%
5 2
 
0.6%
6 2
 
0.6%
7 2
 
0.6%
8 2
 
0.6%
9 4
 
1.2%
10 3
 
0.9%
11 7
 
2.1%
ValueCountFrequency (%)
60 1
 
0.3%
46 1
 
0.3%
42 1
 
0.3%
40 1
 
0.3%
38 1
 
0.3%
35 1
 
0.3%
33 4
1.2%
29 6
1.8%
27 2
 
0.6%
25 2
 
0.6%

근속년수-6년이상
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)14.1%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean7.3411765
Minimum0
Maximum100
Zeros110
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:19.381880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile33
Maximum100
Range100
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.515324
Coefficient of variation (CV)1.8410297
Kurtosis13.933281
Mean7.3411765
Median Absolute Deviation (MAD)0
Skewness3.0435432
Sum1248
Variance182.66397
MonotonicityNot monotonic
2024-05-04T03:14:19.957810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 110
33.3%
17 7
 
2.1%
14 7
 
2.1%
20 6
 
1.8%
13 5
 
1.5%
29 4
 
1.2%
10 3
 
0.9%
25 3
 
0.9%
11 3
 
0.9%
33 3
 
0.9%
Other values (14) 19
 
5.8%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 110
33.3%
4 1
 
0.3%
6 3
 
0.9%
7 1
 
0.3%
8 1
 
0.3%
9 2
 
0.6%
10 3
 
0.9%
11 3
 
0.9%
12 1
 
0.3%
13 5
 
1.5%
ValueCountFrequency (%)
100 1
 
0.3%
60 1
 
0.3%
44 2
 
0.6%
43 2
 
0.6%
40 1
 
0.3%
33 3
0.9%
29 4
1.2%
25 3
0.9%
20 6
1.8%
19 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
170 
<NA>
160 

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 170
51.5%
<NA> 160
48.5%

Length

2024-05-04T03:14:20.334952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:20.693870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 170
51.5%
na 160
48.5%

교직원현황-보육교사
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)13.5%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean9.4882353
Minimum0
Maximum42
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:21.098722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q311
95-th percentile18.1
Maximum42
Range42
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.555783
Coefficient of variation (CV)0.58554439
Kurtosis8.4893964
Mean9.4882353
Median Absolute Deviation (MAD)3
Skewness2.2763662
Sum1613
Variance30.866725
MonotonicityNot monotonic
2024-05-04T03:14:21.561439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 23
 
7.0%
8 18
 
5.5%
7 17
 
5.2%
5 16
 
4.8%
11 15
 
4.5%
9 14
 
4.2%
10 10
 
3.0%
4 10
 
3.0%
16 7
 
2.1%
12 6
 
1.8%
Other values (13) 34
 
10.3%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 1
 
0.3%
3 6
 
1.8%
4 10
3.0%
5 16
4.8%
6 23
7.0%
7 17
5.2%
8 18
5.5%
9 14
4.2%
10 10
3.0%
11 15
4.5%
ValueCountFrequency (%)
42 1
 
0.3%
33 1
 
0.3%
27 2
 
0.6%
24 1
 
0.3%
22 2
 
0.6%
20 1
 
0.3%
19 1
 
0.3%
17 3
0.9%
16 7
2.1%
15 6
1.8%

교직원현황-특수교사
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
160 
<NA>
160 
2
 
3
3
 
3
1
 
3

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 160
48.5%
<NA> 160
48.5%
2 3
 
0.9%
3 3
 
0.9%
1 3
 
0.9%
5 1
 
0.3%

Length

2024-05-04T03:14:22.089377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:22.546025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 160
48.5%
na 160
48.5%
2 3
 
0.9%
3 3
 
0.9%
1 3
 
0.9%
5 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
170 
<NA>
160 

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 170
51.5%
<NA> 160
48.5%

Length

2024-05-04T03:14:23.253008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:23.662042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 170
51.5%
na 160
48.5%
Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
160 
0
157 
1
 
13

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
48.5%
0 157
47.6%
1 13
 
3.9%

Length

2024-05-04T03:14:24.180318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:24.589560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
48.5%
0 157
47.6%
1 13
 
3.9%
Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
164 
<NA>
160 
1
 
6

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 164
49.7%
<NA> 160
48.5%
1 6
 
1.8%

Length

2024-05-04T03:14:25.074471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:25.491535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 164
49.7%
na 160
48.5%
1 6
 
1.8%
Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
165 
<NA>
160 
1
 
5

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
50.0%
<NA> 160
48.5%
1 5
 
1.5%

Length

2024-05-04T03:14:26.000787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:26.347485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
50.0%
na 160
48.5%
1 5
 
1.5%

교직원현황-조리원
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.5%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean0.96470588
Minimum0
Maximum6
Zeros40
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:26.719990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81330735
Coefficient of variation (CV)0.8430625
Kurtosis9.8128973
Mean0.96470588
Median Absolute Deviation (MAD)0
Skewness2.1351912
Sum164
Variance0.66146885
MonotonicityNot monotonic
2024-05-04T03:14:27.229038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 107
32.4%
0 40
 
12.1%
2 17
 
5.2%
3 3
 
0.9%
4 2
 
0.6%
6 1
 
0.3%
(Missing) 160
48.5%
ValueCountFrequency (%)
0 40
 
12.1%
1 107
32.4%
2 17
 
5.2%
3 3
 
0.9%
4 2
 
0.6%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
4 2
 
0.6%
3 3
 
0.9%
2 17
 
5.2%
1 107
32.4%
0 40
 
12.1%
Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
160 
<NA>
160 
1
 
8
2
 
2

Length

Max length4
Median length1
Mean length2.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 160
48.5%
<NA> 160
48.5%
1 8
 
2.4%
2 2
 
0.6%

Length

2024-05-04T03:14:27.694657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:14:28.040653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 160
48.5%
na 160
48.5%
1 8
 
2.4%
2 2
 
0.6%

교직원현황-총계
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)17.1%
Missing160
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean12.711765
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-04T03:14:28.436527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile25.55
Maximum59
Range58
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.5034022
Coefficient of variation (CV)0.59027227
Kurtosis10.618304
Mean12.711765
Median Absolute Deviation (MAD)3
Skewness2.6345579
Sum2161
Variance56.301044
MonotonicityNot monotonic
2024-05-04T03:14:28.851519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8 20
 
6.1%
7 16
 
4.8%
10 15
 
4.5%
14 14
 
4.2%
12 13
 
3.9%
13 13
 
3.9%
9 13
 
3.9%
6 10
 
3.0%
11 8
 
2.4%
17 5
 
1.5%
Other values (19) 43
 
13.0%
(Missing) 160
48.5%
ValueCountFrequency (%)
1 1
 
0.3%
4 2
 
0.6%
5 4
 
1.2%
6 10
3.0%
7 16
4.8%
8 20
6.1%
9 13
3.9%
10 15
4.5%
11 8
 
2.4%
12 13
3.9%
ValueCountFrequency (%)
59 1
0.3%
44 1
0.3%
40 1
0.3%
37 1
0.3%
33 1
0.3%
31 1
0.3%
28 2
0.6%
26 1
0.3%
25 1
0.3%
23 2
0.6%

데이터수집일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2022-10-26 22:05:05
Maximum2022-10-26 22:05:05
2024-05-04T03:14:29.339983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T03:14:29.695901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

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
0서초구11650000460서초구립 서초교대e편한세상어린이집국공립정상6603서울특별시 서초구 서초중앙로24길 33 교대e편한세상아파트 관리동02-591-101102-592-1101<NA>39101112333337.496461127.016912미운영2022-03-01<NA><NA><NA>2022-10-26일반322000000791014000000331000000190000000122022-10-26 22:05:05.0
1서초구11650000463무지개어린이집직장정상6796서울특별시 서초구 신흥말길 79-3 103동 1층(내곡동, 무지개아파트)02-2226-9377<NA><NA>4760176281037.56647126.977963미운영2022-02-23<NA><NA><NA>2022-10-26일반111000000324400000010100000014000001062022-10-26 22:05:05.0
2서초구11650000462스마트 서리풀노리학교국공립정상6675서울특별시 서초구 방배천로24길 8 1층02-523-9340<NA><NA>024200000<NA><NA><NA>2021-11-16<NA><NA><NA>2022-10-26시간제보육00000000000000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:05:05.0
3서초구11650000458서초구립 반포센트레빌어린이집국공립정상6598서울특별시 서초구 사평대로 310-402-536-310402-536-3105<NA>38701110302637.503431127.015992미운영2021-11-01<NA><NA><NA>2022-10-26일반23100000066146000000261000000180000010102022-10-26 22:05:05.0
4서초구11650000459서초지빈어린이집가정정상6802서울특별시 서초구 청계산로11길 10 101호02-578-5111<NA><NA>285036201337.447366127.057161미운영2021-10-15<NA><NA><NA>2022-10-26일반310000000494000000013100000014000000062022-10-26 22:05:05.0
5서초구11650000457서초구립 방배그랑자이어린이집국공립정상6703서울특별시 서초구 방배로 21 방배그랑자이어린이집02-523-204402-523-2045<NA>625511715886037.482546126.996552미운영2021-10-12<NA><NA><NA>2022-10-26일반3221110001091014121500006010000001110000010152022-10-26 22:05:05.0
6서초구11650000456서초구립 서초그랑자이어린이집국공립정상6630서울특별시 서초구 효령로 39102-585-0334<NA><NA>633511716886537.488571127.026776미운영2021-10-12<NA><NA><NA>2022-10-26일반3321000101091514150001206510000001130000010162022-10-26 22:05:05.0
7서초구11650000455반포예원어린이집가정정상6592서울특별시 서초구 사평대로 240 502동 107호02-537-39210504-375-3921<NA>33503413437.502471127.00783<NA>2021-08-02<NA><NA><NA>2022-10-26야간연장30000020052000002004100000013000000042022-10-26 22:05:05.0
8서초구11650000454서초구립 라클라스어린이집국공립정상6599서울특별시 서초구 서초중앙로 20602-534-212202-534-2123<NA>623212620686337.500358127.014204미운영2021-08-01<NA><NA><NA>2022-10-26장애아통합334200012159152213000046310000001152000010202022-10-26 22:05:05.0
9서초구11650000453서초구립 허니비어린이집국공립정상6567서울특별시 서초구 서초대로1길 30 105동 101호(방배동, 현대아파트)02-535-7957050-8907-0633<NA>3560410191937.488271126.983859미운영2021-03-01<NA><NA><NA>2022-10-26야간연장30000020059000001000193367000180000010102022-10-26 22:05:05.0
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
320서초구11650000047반포초등어린이집직장폐지137811서울특별시 서초구 신반포로 55-4 반포초등학교내 (반포동)02-593-4231<NA><NA>16600027037.502764126.991097미운영1993-09-01<NA><NA>2016-03-012022-10-26일반00100001020000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:05:05.0
321서초구11650000072반포복지관어린이집국공립폐지6536서울특별시 서초구 사평대로55길 90 (반포동)02-512-182502-512-1815<NA>4257112020037.507861127.021241미운영1993-08-23<NA><NA>2022-05-312022-10-26야간연장01100020040000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:05:05.0
322서초구11650000074반포1동어린이집국공립정상6534서울특별시 서초구 신반포로 318 (반포동)02-518-163002-518-2778보육정보쎈터 인포맵824922615934637.509975127.018463미운영1993-02-19<NA><NA><NA>2022-10-26야간연장22210001086101211000704650084201120000010152022-10-26 22:05:05.0
323서초구11650000014샛별 어린이집민간폐지6563서울특별시 서초구 서초대로15길 74 (방배동)02-533-849602-533-7117<NA>720928080037.489723126.988475미운영1993-01-12<NA><NA>2018-03-012022-10-26일반014221000100000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:05:05.0
324서초구11650000002내곡어린이집국공립정상6801서울특별시 서초구 홍씨마을길 25 (내곡동)02-572-930902-572-9512http://www.children.seoul.go.kr51811710352237.453181127.06546미운영1992-12-28<NA><NA><NA>2022-10-26장애아통합,야간연장2210000016687000001223813251313180000010102022-10-26 22:05:05.0
325서초구11650000080방배어린이집국공립정상6680서울특별시 서초구 방배로19길 36-802-523-373502-587-5378<NA>521801311303037.485073126.99305미운영1992-03-19<NA><NA><NA>2022-10-26영아전담,야간연장2220000006610140000003063130025180000010112022-10-26 22:05:05.0
326서초구11650000085서초어린이집국공립정상6703서울특별시 서초구 남부순환로 2271-102-522-941102-597-7070<NA>104352212618511337.474671127.000225미운영1992-03-01<NA><NA><NA>2022-10-26장애아통합,야간연장2442210031862023201916009113621024501192010020262022-10-26 22:05:05.0
327서초구11650000083남태령어린이집국공립정상6761서울특별시 서초구 전원말길 6 (방배동)02-588-064002-586-2869http://children.seoul.go.kr/infomap2/main/index.html?CAREID=3383628423220997237.465812126.988778운영1987-12-20<NA><NA><NA>2022-10-26야간연장32211100010910141310160007238644661160000010202022-10-26 22:05:05.0
328서초구11650000028반포어린이집민간정상6575서울특별시 서초구 사평대로20길 54 (반포동)02-537-667002-537-6676<NA>7294216211119637.497009126.996738운영1983-05-12<NA><NA><NA>2022-10-26일반0463011301801519300154130965613136131160000011212022-10-26 22:05:05.0
329서초구11650000023성촌어린이집민간폐지6765서울특별시 서초구 성촌6길 1 (우면동)02-572-609102-572-2091<NA>312504039037.467181127.02064미운영1982-12-20<NA><NA>2020-03-052022-10-26일반10010002040000000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-10-26 22:05:05.0