Overview

Dataset statistics

Number of variables6
Number of observations717
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.5 KiB
Average record size in memory52.2 B

Variable types

Numeric4
Categorical1
Text1

Dataset

Description초등돌봄시설 현황입니다. 행정동, 시설명, 운영실건수, 정원, 현원 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=109

Alerts

운영실건수 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
정원 is highly overall correlated with 운영실건수 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 운영실건수 and 1 other fieldsHigh correlation
운영실건수 has 422 (58.9%) zerosZeros
정원 has 426 (59.4%) zerosZeros
현원 has 24 (3.3%) zerosZeros

Reproduction

Analysis started2024-01-09 21:19:37.638549
Analysis finished2024-01-09 21:19:39.567674
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동코드
Real number (ℝ)

Distinct15
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4372838 × 109
Minimum4.413 × 109
Maximum4.4825 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-01-10T06:19:39.621611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.413 × 109
5-th percentile4.413 × 109
Q14.415 × 109
median4.421 × 109
Q34.476 × 109
95-th percentile4.481 × 109
Maximum4.4825 × 109
Range69500000
Interquartile range (IQR)61000000

Descriptive statistics

Standard deviation28117719
Coefficient of variation (CV)0.0063366961
Kurtosis-1.3410519
Mean4.4372838 × 109
Median Absolute Deviation (MAD)8000000
Skewness0.74802513
Sum3.1815325 × 1012
Variance7.9060613 × 1014
MonotonicityNot monotonic
2024-01-10T06:19:39.734491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4413000000 153
21.3%
4420000000 82
11.4%
4423000000 56
 
7.8%
4421000000 53
 
7.4%
4427000000 47
 
6.6%
4418000000 46
 
6.4%
4415000000 44
 
6.1%
4480000000 39
 
5.4%
4481000000 36
 
5.0%
4471000000 35
 
4.9%
Other values (5) 126
17.6%
ValueCountFrequency (%)
4413000000 153
21.3%
4415000000 44
 
6.1%
4418000000 46
 
6.4%
4420000000 82
11.4%
4421000000 53
 
7.4%
4423000000 56
 
7.8%
4425000000 9
 
1.3%
4427000000 47
 
6.6%
4471000000 35
 
4.9%
4476000000 34
 
4.7%
ValueCountFrequency (%)
4482500000 35
4.9%
4481000000 36
5.0%
4480000000 39
5.4%
4479000000 16
 
2.2%
4477000000 32
4.5%
4476000000 34
4.7%
4471000000 35
4.9%
4427000000 47
6.6%
4425000000 9
 
1.3%
4423000000 56
7.8%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
초등돌봄교실(학교)
422 
지역아동센터
237 
공동육아나눔터
 
29
다함께돌봄센터
 
20
청소년방과후아카데미
 
9

Length

Max length10
Median length10
Mean length8.4728033
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등돌봄교실(학교) 422
58.9%
지역아동센터 237
33.1%
공동육아나눔터 29
 
4.0%
다함께돌봄센터 20
 
2.8%
청소년방과후아카데미 9
 
1.3%

Length

2024-01-10T06:19:39.869768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:19:39.983286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등돌봄교실(학교 422
58.9%
지역아동센터 237
33.1%
공동육아나눔터 29
 
4.0%
다함께돌봄센터 20
 
2.8%
청소년방과후아카데미 9
 
1.3%

시설명
Text

Distinct705
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-01-10T06:19:40.243163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.3960948
Min length3

Characters and Unicode

Total characters4586
Distinct characters326
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)96.8%

Sample

1st row중앙파랑새지역아동센터
2nd row열린문화지역아동센터
3rd row서로사랑지역아동센터
4th row광덕푸른지역아동센터
5th row우리두리지역아동센터
ValueCountFrequency (%)
공동육아나눔터 25
 
3.0%
지역아동센터 21
 
2.6%
천안시 14
 
1.7%
다함께돌봄센터 9
 
1.1%
홍주사회적협동조합 5
 
0.6%
3호점 3
 
0.4%
공주시 3
 
0.4%
솔로몬지역아동센터 3
 
0.4%
공립 2
 
0.2%
돌봄센터(아이들세상 2
 
0.2%
Other values (714) 735
89.4%
2024-01-10T06:19:40.626931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 431
 
9.4%
터 301
 
6.6%
동 301
 
6.6%
아 287
 
6.3%
센 259
 
5.6%
지 240
 
5.2%
역 234
 
5.1%
105
 
2.3%
천 95
 
2.1%
산 81
 
1.8%
Other values (316) 2252
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4405
96.1%
Space Separator 105
 
2.3%
Decimal Number 27
 
0.6%
Uppercase Letter 15
 
0.3%
Close Punctuation 12
 
0.3%
Open Punctuation 11
 
0.2%
Lowercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 431
 
9.8%
터 301
 
6.8%
동 301
 
6.8%
아 287
 
6.5%
센 259
 
5.9%
지 240
 
5.4%
역 234
 
5.3%
천 95
 
2.2%
산 81
 
1.8%
안 78
 
1.8%
Other values (285) 2098
47.6%
Decimal Number
ValueCountFrequency (%)
1 9
33.3%
3 5
18.5%
2 4
14.8%
8 2
 
7.4%
4 2
 
7.4%
0 1
 
3.7%
7 1
 
3.7%
9 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
H 4
26.7%
L 4
26.7%
S 1
 
6.7%
G 1
 
6.7%
T 1
 
6.7%
Y 1
 
6.7%
W 1
 
6.7%
C 1
 
6.7%
A 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
p 2
18.2%
e 2
18.2%
t 1
9.1%
r 1
9.1%
h 1
9.1%
g 1
9.1%
o 1
9.1%
y 1
9.1%
a 1
9.1%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4405
96.1%
Common 155
 
3.4%
Latin 26
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 431
 
9.8%
터 301
 
6.8%
동 301
 
6.8%
아 287
 
6.5%
센 259
 
5.9%
지 240
 
5.4%
역 234
 
5.3%
천 95
 
2.2%
산 81
 
1.8%
안 78
 
1.8%
Other values (285) 2098
47.6%
Latin
ValueCountFrequency (%)
H 4
15.4%
L 4
15.4%
p 2
 
7.7%
e 2
 
7.7%
t 1
 
3.8%
S 1
 
3.8%
G 1
 
3.8%
r 1
 
3.8%
h 1
 
3.8%
g 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
105
67.7%
) 12
 
7.7%
( 11
 
7.1%
1 9
 
5.8%
3 5
 
3.2%
2 4
 
2.6%
8 2
 
1.3%
4 2
 
1.3%
0 1
 
0.6%
7 1
 
0.6%
Other values (3) 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4405
96.1%
ASCII 181
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 431
 
9.8%
터 301
 
6.8%
동 301
 
6.8%
아 287
 
6.5%
센 259
 
5.9%
지 240
 
5.4%
역 234
 
5.3%
천 95
 
2.2%
산 81
 
1.8%
안 78
 
1.8%
Other values (285) 2098
47.6%
ASCII
ValueCountFrequency (%)
105
58.0%
) 12
 
6.6%
( 11
 
6.1%
1 9
 
5.0%
3 5
 
2.8%
2 4
 
2.2%
H 4
 
2.2%
L 4
 
2.2%
p 2
 
1.1%
8 2
 
1.1%
Other values (21) 23
 
12.7%

운영실건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)0.8%
Missing3
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.4719888
Minimum0
Maximum6
Zeros422
Zeros (%)58.9%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-01-10T06:19:40.720551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.67404264
Coefficient of variation (CV)1.4280904
Kurtosis9.8600822
Mean0.4719888
Median Absolute Deviation (MAD)0
Skewness2.237728
Sum337
Variance0.45433349
MonotonicityNot monotonic
2024-01-10T06:19:40.796742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 422
58.9%
1 266
37.1%
2 13
 
1.8%
3 9
 
1.3%
4 3
 
0.4%
6 1
 
0.1%
(Missing) 3
 
0.4%
ValueCountFrequency (%)
0 422
58.9%
1 266
37.1%
2 13
 
1.8%
3 9
 
1.3%
4 3
 
0.4%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 3
 
0.4%
3 9
 
1.3%
2 13
 
1.8%
1 266
37.1%
0 422
58.9%

정원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.612273
Minimum0
Maximum65
Zeros426
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-01-10T06:19:40.890039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325
95-th percentile40
Maximum65
Range65
Interquartile range (IQR)25

Descriptive statistics

Standard deviation15.231097
Coefficient of variation (CV)1.3116379
Kurtosis-0.50918585
Mean11.612273
Median Absolute Deviation (MAD)0
Skewness0.87048223
Sum8326
Variance231.98633
MonotonicityNot monotonic
2024-01-10T06:19:40.987160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 426
59.4%
29 71
 
9.9%
19 29
 
4.0%
20 26
 
3.6%
35 26
 
3.6%
25 24
 
3.3%
40 16
 
2.2%
22 12
 
1.7%
15 9
 
1.3%
49 8
 
1.1%
Other values (25) 70
 
9.8%
ValueCountFrequency (%)
0 426
59.4%
9 1
 
0.1%
10 4
 
0.6%
12 1
 
0.1%
13 1
 
0.1%
15 9
 
1.3%
17 1
 
0.1%
19 29
 
4.0%
20 26
 
3.6%
21 1
 
0.1%
ValueCountFrequency (%)
65 1
 
0.1%
60 3
 
0.4%
49 8
1.1%
46 2
 
0.3%
45 7
1.0%
43 1
 
0.1%
41 1
 
0.1%
40 16
2.2%
39 5
 
0.7%
38 1
 
0.1%

현원
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.662483
Minimum0
Maximum150
Zeros24
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-01-10T06:19:41.098350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8
Q119
median26
Q340
95-th percentile66
Maximum150
Range150
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.601417
Coefficient of variation (CV)0.63926385
Kurtosis3.9343715
Mean30.662483
Median Absolute Deviation (MAD)10
Skewness1.4949238
Sum21985
Variance384.21553
MonotonicityNot monotonic
2024-01-10T06:19:41.206858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 32
 
4.5%
40 32
 
4.5%
20 28
 
3.9%
22 27
 
3.8%
35 27
 
3.8%
19 26
 
3.6%
0 24
 
3.3%
18 23
 
3.2%
29 23
 
3.2%
50 20
 
2.8%
Other values (76) 455
63.5%
ValueCountFrequency (%)
0 24
3.3%
1 2
 
0.3%
2 1
 
0.1%
3 3
 
0.4%
4 3
 
0.4%
5 3
 
0.4%
6 8
 
1.1%
7 6
 
0.8%
8 8
 
1.1%
9 6
 
0.8%
ValueCountFrequency (%)
150 1
 
0.1%
125 1
 
0.1%
107 1
 
0.1%
101 1
 
0.1%
100 4
0.6%
97 1
 
0.1%
96 2
0.3%
93 1
 
0.1%
89 3
0.4%
88 1
 
0.1%

Interactions

2024-01-10T06:19:39.001921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:37.940759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.249467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.612917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:39.107097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.021409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.334588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.714690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:39.204968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.095056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.422542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.809399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:39.298603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.168226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.515562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:38.901155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:19:41.285820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드구분운영실건수정원현원
행정동코드1.0000.1690.2230.2340.287
구분0.1691.0000.7650.7800.587
운영실건수0.2230.7651.0000.7910.295
정원0.2340.7800.7911.0000.513
현원0.2870.5870.2950.5131.000
2024-01-10T06:19:41.368510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드운영실건수정원현원구분
행정동코드1.000-0.067-0.048-0.0290.050
운영실건수-0.0671.0000.945-0.1950.642
정원-0.0480.9451.000-0.0550.600
현원-0.029-0.195-0.0551.0000.284
구분0.0500.6420.6000.2841.000

Missing values

2024-01-10T06:19:39.423059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:19:39.524469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

행정동코드구분시설명운영실건수정원현원
04413000000지역아동센터중앙파랑새지역아동센터12928
14413000000지역아동센터열린문화지역아동센터12222
24413000000지역아동센터서로사랑지역아동센터12926
34413000000지역아동센터광덕푸른지역아동센터12826
44413000000지역아동센터우리두리지역아동센터11917
54413000000지역아동센터푸른아이지역아동센터12727
64413000000지역아동센터천안우리지역아동센터12524
74413000000지역아동센터하늘꿈이자라는집 지역아동센터14543
84413000000지역아동센터디딤돌지역아동센터12929
94413000000지역아동센터동산어린이지역아동센터12925
행정동코드구분시설명운영실건수정원현원
7074421000000공동육아나눔터읍내동 공동육아나눔터1126
7084421000000공동육아나눔터석남동 공동육아나눔터1103
7094421000000공동육아나눔터성연면 공동육아나눔터1101
7104427000000공동육아나눔터신평꿈도담터 공동육아나눔터11311
7114427000000공동육아나눔터송악공동육아나눔터12517
7124427000000공동육아나눔터대덕꿈도담터 공동육아나눔터11715
7134480000000공동육아나눔터홍성공동육아나눔터1150
7144480000000공동육아나눔터내포공동육아나눔터2200
7154480000000공동육아나눔터부영공동육아나눔터22010
7164482500000공동육아나눔터태안군 공동육아나눔터1200