Overview

Dataset statistics

Number of variables13
Number of observations264
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 KiB
Average record size in memory109.5 B

Variable types

Numeric5
Categorical3
Text3
Boolean2

Dataset

Description경상남도 양산시 운영중인 어린이집 공공데이터입니다. 어린이집 유형, 주소, 통학차량, 연장보육반운영, 인증평가참여, 보육교직원현원, 정원, 보육실수 등을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/3040402/fileData.do

Alerts

보육교직원현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
정원 is highly overall correlated with 보육교직원현원 and 2 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
보육실면적 is highly overall correlated with 보육교직원현원 and 2 other fieldsHigh correlation
연장보육반운영 is highly imbalanced (53.6%)Imbalance
인증평가참여 is highly imbalanced (73.3%)Imbalance
순번 has unique valuesUnique
어린이집 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
보육교직원현원 has 9 (3.4%) zerosZeros

Reproduction

Analysis started2024-03-23 04:28:42.920468
Analysis finished2024-03-23 04:28:54.303363
Duration11.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.5
Minimum1
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-23T04:28:54.680402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.15
Q166.75
median132.5
Q3198.25
95-th percentile250.85
Maximum264
Range263
Interquartile range (IQR)131.5

Descriptive statistics

Standard deviation76.354437
Coefficient of variation (CV)0.5762599
Kurtosis-1.2
Mean132.5
Median Absolute Deviation (MAD)66
Skewness0
Sum34980
Variance5830
MonotonicityStrictly increasing
2024-03-23T04:28:55.257899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
183 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
Other values (254) 254
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%

행정동
Categorical

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
물금읍
108 
동면
44 
양주동
23 
서창동
17 
덕계동
17 
Other values (7)
55 

Length

Max length3
Median length3
Mean length2.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동면
2nd row삼성동
3rd row동면
4th row물금읍
5th row물금읍

Common Values

ValueCountFrequency (%)
물금읍 108
40.9%
동면 44
16.7%
양주동 23
 
8.7%
서창동 17
 
6.4%
덕계동 17
 
6.4%
평산동 15
 
5.7%
삼성동 13
 
4.9%
소주동 10
 
3.8%
상북면 7
 
2.7%
강서동 5
 
1.9%
Other values (2) 5
 
1.9%

Length

2024-03-23T04:28:55.650228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 108
40.9%
동면 44
16.7%
양주동 23
 
8.7%
서창동 17
 
6.4%
덕계동 17
 
6.4%
평산동 15
 
5.7%
삼성동 13
 
4.9%
소주동 10
 
3.8%
상북면 7
 
2.7%
강서동 5
 
1.9%
Other values (2) 5
 
1.9%

어린이집
Text

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T04:28:56.336862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.0568182
Min length5

Characters and Unicode

Total characters2127
Distinct characters275
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

Unique264 ?
Unique (%)100.0%

Sample

1st row시립사송솔내음어린이집
2nd rowDN오토모티브새싹어린이집
3rd rowEG꿈나무어린이집
4th rowN젤어린이집
5th rowU&I아이맘어린이집
ValueCountFrequency (%)
부영사랑으로어린이집 2
 
0.7%
시립사송솔내음어린이집 1
 
0.4%
엔젤어린이집 1
 
0.4%
알콩달콩어린이집 1
 
0.4%
야호어린이집 1
 
0.4%
양산경찰서어린이집 1
 
0.4%
양산물금1단지 1
 
0.4%
양산물금2단지 1
 
0.4%
양산부산대학교병원어린이집 1
 
0.4%
양산어린이집 1
 
0.4%
Other values (257) 257
95.9%
2024-03-23T04:28:57.519786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 296
 
13.9%
린 270
 
12.7%
어 268
 
12.6%
집 264
 
12.4%
시 40
 
1.9%
립 35
 
1.6%
아 30
 
1.4%
사 29
 
1.4%
리 23
 
1.1%
랑 21
 
1.0%
Other values (265) 851
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2092
98.4%
Uppercase Letter 18
 
0.8%
Decimal Number 6
 
0.3%
Lowercase Letter 5
 
0.2%
Space Separator 4
 
0.2%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 296
 
14.1%
린 270
 
12.9%
어 268
 
12.8%
집 264
 
12.6%
시 40
 
1.9%
립 35
 
1.7%
아 30
 
1.4%
사 29
 
1.4%
리 23
 
1.1%
랑 21
 
1.0%
Other values (244) 816
39.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
16.7%
N 2
11.1%
C 2
11.1%
Q 2
11.1%
A 2
11.1%
D 1
 
5.6%
B 1
 
5.6%
H 1
 
5.6%
I 1
 
5.6%
U 1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
4 1
16.7%
5 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
i 3
60.0%
e 2
40.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2092
98.4%
Latin 23
 
1.1%
Common 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 296
 
14.1%
린 270
 
12.9%
어 268
 
12.8%
집 264
 
12.6%
시 40
 
1.9%
립 35
 
1.7%
아 30
 
1.4%
사 29
 
1.4%
리 23
 
1.1%
랑 21
 
1.0%
Other values (244) 816
39.0%
Latin
ValueCountFrequency (%)
E 3
13.0%
i 3
13.0%
N 2
8.7%
C 2
8.7%
Q 2
8.7%
e 2
8.7%
A 2
8.7%
D 1
 
4.3%
B 1
 
4.3%
H 1
 
4.3%
Other values (4) 4
17.4%
Common
ValueCountFrequency (%)
4
33.3%
2 2
16.7%
1 2
16.7%
& 1
 
8.3%
- 1
 
8.3%
4 1
 
8.3%
5 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2092
98.4%
ASCII 35
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 296
 
14.1%
린 270
 
12.9%
어 268
 
12.8%
집 264
 
12.6%
시 40
 
1.9%
립 35
 
1.7%
아 30
 
1.4%
사 29
 
1.4%
리 23
 
1.1%
랑 21
 
1.0%
Other values (244) 816
39.0%
ASCII
ValueCountFrequency (%)
4
 
11.4%
E 3
 
8.6%
i 3
 
8.6%
N 2
 
5.7%
C 2
 
5.7%
2 2
 
5.7%
Q 2
 
5.7%
1 2
 
5.7%
e 2
 
5.7%
A 2
 
5.7%
Other values (11) 11
31.4%

어린이집유형
Categorical

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
가정
114 
민간
96 
국공립
35 
사회복지법인
 
11
직장
 
5
Other values (2)
 
3

Length

Max length6
Median length2
Mean length2.3295455
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
가정 114
43.2%
민간 96
36.4%
국공립 35
 
13.3%
사회복지법인 11
 
4.2%
직장 5
 
1.9%
법인·단체등 2
 
0.8%
협동 1
 
0.4%

Length

2024-03-23T04:28:58.111377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:28:58.550651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 114
43.2%
민간 96
36.4%
국공립 35
 
13.3%
사회복지법인 11
 
4.2%
직장 5
 
1.9%
법인·단체등 2
 
0.8%
협동 1
 
0.4%

주소
Text

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T04:28:59.417818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length32.704545
Min length15

Characters and Unicode

Total characters8634
Distinct characters235
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 외송로 60 관리동어린이집
2nd row경상남도 양산시 양산대로 1111
3rd row경상남도 양산시 동면 금오16길 100 310동 103호(이지3차)
4th row경상남도 양산시 물금읍 오봉로 192 넥센사원아파트 관리동내
5th row경상남도 양산시 물금읍 물금로 76 105동 103호(한양수자인더퍼스트)
ValueCountFrequency (%)
경상남도 264
 
15.6%
양산시 264
 
15.6%
물금읍 103
 
6.1%
관리동 31
 
1.8%
동면 27
 
1.6%
물금로 23
 
1.4%
양주로 22
 
1.3%
새실로 17
 
1.0%
11 16
 
0.9%
105동 14
 
0.8%
Other values (534) 913
53.9%
2024-03-23T04:29:00.818146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1432
 
16.6%
1 495
 
5.7%
산 340
 
3.9%
양 336
 
3.9%
동 314
 
3.6%
시 292
 
3.4%
상 286
 
3.3%
도 284
 
3.3%
남 281
 
3.3%
0 268
 
3.1%
Other values (225) 4306
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5247
60.8%
Decimal Number 1535
 
17.8%
Space Separator 1432
 
16.6%
Open Punctuation 163
 
1.9%
Close Punctuation 163
 
1.9%
Other Punctuation 55
 
0.6%
Dash Punctuation 21
 
0.2%
Uppercase Letter 13
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 340
 
6.5%
양 336
 
6.4%
동 314
 
6.0%
시 292
 
5.6%
상 286
 
5.5%
도 284
 
5.4%
남 281
 
5.4%
경 266
 
5.1%
로 178
 
3.4%
금 160
 
3.0%
Other values (203) 2510
47.8%
Decimal Number
ValueCountFrequency (%)
1 495
32.2%
0 268
17.5%
2 137
 
8.9%
3 136
 
8.9%
5 118
 
7.7%
4 107
 
7.0%
6 98
 
6.4%
7 83
 
5.4%
9 52
 
3.4%
8 41
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 4
30.8%
L 3
23.1%
H 3
23.1%
C 2
15.4%
K 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 53
96.4%
. 2
 
3.6%
Space Separator
ValueCountFrequency (%)
1432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5247
60.8%
Common 3369
39.0%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 340
 
6.5%
양 336
 
6.4%
동 314
 
6.0%
시 292
 
5.6%
상 286
 
5.5%
도 284
 
5.4%
남 281
 
5.4%
경 266
 
5.1%
로 178
 
3.4%
금 160
 
3.0%
Other values (203) 2510
47.8%
Common
ValueCountFrequency (%)
1432
42.5%
1 495
 
14.7%
0 268
 
8.0%
( 163
 
4.8%
) 163
 
4.8%
2 137
 
4.1%
3 136
 
4.0%
5 118
 
3.5%
4 107
 
3.2%
6 98
 
2.9%
Other values (6) 252
 
7.5%
Latin
ValueCountFrequency (%)
e 5
27.8%
A 4
22.2%
L 3
16.7%
H 3
16.7%
C 2
 
11.1%
K 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5247
60.8%
ASCII 3387
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1432
42.3%
1 495
 
14.6%
0 268
 
7.9%
( 163
 
4.8%
) 163
 
4.8%
2 137
 
4.0%
3 136
 
4.0%
5 118
 
3.5%
4 107
 
3.2%
6 98
 
2.9%
Other values (12) 270
 
8.0%
Hangul
ValueCountFrequency (%)
산 340
 
6.5%
양 336
 
6.4%
동 314
 
6.0%
시 292
 
5.6%
상 286
 
5.5%
도 284
 
5.4%
남 281
 
5.4%
경 266
 
5.1%
로 178
 
3.4%
금 160
 
3.0%
Other values (203) 2510
47.8%

통학차량
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
운영(신고)
164 
미운영
100 

Length

Max length6
Median length6
Mean length4.8636364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미운영
2nd row운영(신고)
3rd row미운영
4th row미운영
5th row미운영

Common Values

ValueCountFrequency (%)
운영(신고) 164
62.1%
미운영 100
37.9%

Length

2024-03-23T04:29:01.304563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:29:01.653344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 164
62.1%
미운영 100
37.9%

연장보육반운영
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
True
238 
False
26 
ValueCountFrequency (%)
True 238
90.2%
False 26
 
9.8%
2024-03-23T04:29:02.178307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증평가참여
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
True
252 
False
 
12
ValueCountFrequency (%)
True 252
95.5%
False 12
 
4.5%
2024-03-23T04:29:02.457467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보육교직원현원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6780303
Minimum0
Maximum26
Zeros9
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-23T04:29:03.036671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q310
95-th percentile15.85
Maximum26
Range26
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6126098
Coefficient of variation (CV)0.60075431
Kurtosis1.2827267
Mean7.6780303
Median Absolute Deviation (MAD)3
Skewness0.86342921
Sum2027
Variance21.276169
MonotonicityNot monotonic
2024-03-23T04:29:03.705348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7 32
12.1%
6 30
11.4%
5 25
9.5%
8 24
9.1%
4 21
 
8.0%
9 20
 
7.6%
1 17
 
6.4%
10 17
 
6.4%
14 11
 
4.2%
11 11
 
4.2%
Other values (14) 56
21.2%
ValueCountFrequency (%)
0 9
 
3.4%
1 17
6.4%
2 6
 
2.3%
3 6
 
2.3%
4 21
8.0%
5 25
9.5%
6 30
11.4%
7 32
12.1%
8 24
9.1%
9 20
7.6%
ValueCountFrequency (%)
26 1
 
0.4%
23 1
 
0.4%
22 2
 
0.8%
20 3
 
1.1%
19 1
 
0.4%
18 1
 
0.4%
17 1
 
0.4%
16 4
 
1.5%
15 7
2.7%
14 11
4.2%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct74
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.848485
Minimum11
Maximum234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-23T04:29:04.420824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile16
Q120
median28.5
Q343
95-th percentile120.85
Maximum234
Range223
Interquartile range (IQR)23

Descriptive statistics

Standard deviation36.176581
Coefficient of variation (CV)0.86446573
Kurtosis5.9033583
Mean41.848485
Median Absolute Deviation (MAD)9.5
Skewness2.32066
Sum11048
Variance1308.745
MonotonicityNot monotonic
2024-03-23T04:29:05.210915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 80
30.3%
39 25
 
9.5%
16 10
 
3.8%
19 9
 
3.4%
47 6
 
2.3%
34 6
 
2.3%
28 6
 
2.3%
30 6
 
2.3%
37 5
 
1.9%
99 5
 
1.9%
Other values (64) 106
40.2%
ValueCountFrequency (%)
11 3
 
1.1%
13 2
 
0.8%
14 2
 
0.8%
15 1
 
0.4%
16 10
 
3.8%
17 4
 
1.5%
18 3
 
1.1%
19 9
 
3.4%
20 80
30.3%
21 1
 
0.4%
ValueCountFrequency (%)
234 1
0.4%
200 1
0.4%
178 1
0.4%
160 1
0.4%
159 1
0.4%
158 2
0.8%
155 1
0.4%
146 1
0.4%
132 1
0.4%
131 1
0.4%

보육실수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4848485
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-23T04:29:05.928924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q35
95-th percentile9
Maximum14
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0800879
Coefficient of variation (CV)0.46380339
Kurtosis3.5334272
Mean4.4848485
Median Absolute Deviation (MAD)1
Skewness1.8095262
Sum1184
Variance4.3267658
MonotonicityNot monotonic
2024-03-23T04:29:06.431417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 112
42.4%
4 63
23.9%
5 26
 
9.8%
6 20
 
7.6%
8 13
 
4.9%
7 10
 
3.8%
9 8
 
3.0%
2 4
 
1.5%
10 3
 
1.1%
13 2
 
0.8%
Other values (2) 3
 
1.1%
ValueCountFrequency (%)
2 4
 
1.5%
3 112
42.4%
4 63
23.9%
5 26
 
9.8%
6 20
 
7.6%
7 10
 
3.8%
8 13
 
4.9%
9 8
 
3.0%
10 3
 
1.1%
11 2
 
0.8%
ValueCountFrequency (%)
14 1
 
0.4%
13 2
 
0.8%
11 2
 
0.8%
10 3
 
1.1%
9 8
 
3.0%
8 13
 
4.9%
7 10
 
3.8%
6 20
 
7.6%
5 26
9.8%
4 63
23.9%

보육실면적
Real number (ℝ)

HIGH CORRELATION 

Distinct155
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.70455
Minimum38
Maximum945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-23T04:29:06.903281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile53.15
Q168
median109.5
Q3175
95-th percentile448.2
Maximum945
Range907
Interquartile range (IQR)107

Descriptive statistics

Standard deviation142.6371
Coefficient of variation (CV)0.91607537
Kurtosis7.7115598
Mean155.70455
Median Absolute Deviation (MAD)44.5
Skewness2.5651437
Sum41106
Variance20345.342
MonotonicityNot monotonic
2024-03-23T04:29:07.469220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 6
 
2.3%
56 6
 
2.3%
70 6
 
2.3%
64 5
 
1.9%
53 5
 
1.9%
65 5
 
1.9%
58 5
 
1.9%
67 4
 
1.5%
60 4
 
1.5%
68 4
 
1.5%
Other values (145) 214
81.1%
ValueCountFrequency (%)
38 1
 
0.4%
40 1
 
0.4%
44 1
 
0.4%
48 1
 
0.4%
49 3
1.1%
50 1
 
0.4%
51 1
 
0.4%
53 5
1.9%
54 2
 
0.8%
55 3
1.1%
ValueCountFrequency (%)
945 1
0.4%
791 1
0.4%
767 1
0.4%
743 1
0.4%
712 1
0.4%
599 1
0.4%
567 1
0.4%
553 1
0.4%
542 1
0.4%
533 1
0.4%

전화번호
Text

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T04:29:08.297377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.003788
Min length4

Characters and Unicode

Total characters3169
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)100.0%

Sample

1st row055-381-1001
2nd row055-365-5322
3rd row070-8623-2030
4th row055-362-5180
5th row055-362-5455
ValueCountFrequency (%)
055-381-1001 1
 
0.4%
개인정보 1
 
0.4%
055-386-6415 1
 
0.4%
055-383-1187 1
 
0.4%
055-389-1090 1
 
0.4%
055-383-3358 1
 
0.4%
055-367-1456 1
 
0.4%
055-366-2928 1
 
0.4%
055-365-7773 1
 
0.4%
055-382-9787 1
 
0.4%
Other values (254) 254
96.2%
2024-03-23T04:29:09.497472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 637
20.1%
- 526
16.6%
0 450
14.2%
3 384
12.1%
8 233
 
7.4%
6 209
 
6.6%
2 176
 
5.6%
1 175
 
5.5%
7 172
 
5.4%
9 108
 
3.4%
Other values (5) 99
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2639
83.3%
Dash Punctuation 526
 
16.6%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 637
24.1%
0 450
17.1%
3 384
14.6%
8 233
 
8.8%
6 209
 
7.9%
2 176
 
6.7%
1 175
 
6.6%
7 172
 
6.5%
9 108
 
4.1%
4 95
 
3.6%
Other Letter
ValueCountFrequency (%)
개 1
25.0%
인 1
25.0%
정 1
25.0%
보 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 526
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3165
99.9%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 637
20.1%
- 526
16.6%
0 450
14.2%
3 384
12.1%
8 233
 
7.4%
6 209
 
6.6%
2 176
 
5.6%
1 175
 
5.5%
7 172
 
5.4%
9 108
 
3.4%
Hangul
ValueCountFrequency (%)
개 1
25.0%
인 1
25.0%
정 1
25.0%
보 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3165
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 637
20.1%
- 526
16.6%
0 450
14.2%
3 384
12.1%
8 233
 
7.4%
6 209
 
6.6%
2 176
 
5.6%
1 175
 
5.5%
7 172
 
5.4%
9 108
 
3.4%
Hangul
ValueCountFrequency (%)
개 1
25.0%
인 1
25.0%
정 1
25.0%
보 1
25.0%

Interactions

2024-03-23T04:28:51.679498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:45.261814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:46.960843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:48.654717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:50.140536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:52.082207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:45.530200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:47.360346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:49.026060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:50.456658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:52.386809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:45.897136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:47.749414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:49.358583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:50.716938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:52.711730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:46.271512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:48.039677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:49.584555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:50.999576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:52.961665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:46.636095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:48.384774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:49.872470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:28:51.369328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:29:09.871433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동어린이집유형통학차량연장보육반운영인증평가참여보육교직원현원정원보육실수보육실면적
순번1.0000.0000.5810.3630.0920.2110.3820.3010.1940.000
행정동0.0001.0000.4620.2970.4020.0000.0000.3390.2790.445
어린이집유형0.5810.4621.0000.3990.2380.1100.5420.6760.5370.649
통학차량0.3630.2970.3991.0000.0000.1440.0000.1990.0750.280
연장보육반운영0.0920.4020.2380.0001.0000.0810.2730.0000.0000.000
인증평가참여0.2110.0000.1100.1440.0811.0000.2550.1320.1770.342
보육교직원현원0.3820.0000.5420.0000.2730.2551.0000.7730.5510.692
정원0.3010.3390.6760.1990.0000.1320.7731.0000.7910.944
보육실수0.1940.2790.5370.0750.0000.1770.5510.7911.0000.796
보육실면적0.0000.4450.6490.2800.0000.3420.6920.9440.7961.000
2024-03-23T04:29:10.296189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집유형행정동통학차량인증평가참여연장보육반운영
어린이집유형1.0000.2430.4230.1160.252
행정동0.2431.0000.2260.0000.306
통학차량0.4230.2261.0000.0920.000
인증평가참여0.1160.0000.0921.0000.052
연장보육반운영0.2520.3060.0000.0521.000
2024-03-23T04:29:10.811019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번보육교직원현원정원보육실수보육실면적행정동어린이집유형통학차량연장보육반운영인증평가참여
순번1.000-0.054-0.038-0.0060.0130.0000.3400.2740.0690.159
보육교직원현원-0.0541.0000.6100.4820.5080.0000.3070.0000.2050.200
정원-0.0380.6101.0000.7820.8730.1480.4240.1500.0000.099
보육실수-0.0060.4820.7821.0000.7580.1180.3500.0840.0000.169
보육실면적0.0130.5080.8730.7581.0000.2030.3990.2110.0000.258
행정동0.0000.0000.1480.1180.2031.0000.2430.2260.3060.000
어린이집유형0.3400.3070.4240.3500.3990.2431.0000.4230.2520.116
통학차량0.2740.0000.1500.0840.2110.2260.4231.0000.0000.092
연장보육반운영0.0690.2050.0000.0000.0000.3060.2520.0001.0000.052
인증평가참여0.1590.2000.0990.1690.2580.0000.1160.0920.0521.000

Missing values

2024-03-23T04:28:53.320025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:28:54.048712image/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

순번행정동어린이집어린이집유형주소통학차량연장보육반운영인증평가참여보육교직원현원정원보육실수보육실면적전화번호
01동면시립사송솔내음어린이집국공립경상남도 양산시 외송로 60 관리동어린이집미운영YN12373124055-381-1001
12삼성동DN오토모티브새싹어린이집직장경상남도 양산시 양산대로 1111운영(신고)NY4394245055-365-5322
23동면EG꿈나무어린이집가정경상남도 양산시 동면 금오16길 100 310동 103호(이지3차)미운영YY420459070-8623-2030
34물금읍N젤어린이집직장경상남도 양산시 물금읍 오봉로 192 넥센사원아파트 관리동내미운영YY6414155055-362-5180
45물금읍U&I아이맘어린이집가정경상남도 양산시 물금읍 물금로 76 105동 103호(한양수자인더퍼스트)미운영YY419362055-362-5455
56동면e편한세상남양산어린이집민간경상남도 양산시 동면 금오16길 65 e편한세상 남양산1차 관리동 내미운영YY9373119055-365-2221
67상북면가람어린이집사회복지법인경상남도 양산시 상북면 감결1길 18운영(신고)NY91246450055-375-9295
78서창동개나리어린이집가정경상남도 양산시 삼호로 70 102동 102호(삼호동, 웅상신도시푸르지오)운영(신고)YY719350055-910-9102
89물금읍고운아이어린이집가정경상남도 양산시 물금읍 물금로 75 215동 101호(이지더원2차)미운영YY720371055-367-0367
910삼성동구름빵어린이집가정경상남도 양산시 북정서길 16 105동 102호(북정동, 새롬성원네오파트)운영(신고)YY520361055-365-9008
순번행정동어린이집어린이집유형주소통학차량연장보육반운영인증평가참여보육교직원현원정원보육실수보육실면적전화번호
254255물금읍햇살어린이집가정경상남도 양산시 물금읍 백호로 91 114동 101호(반도유보라4차)미운영YY420473055-910-3719
255256물금읍행복나무어린이집가정경상남도 양산시 물금읍 신주로 69 114동 102호(신창비바패밀리아파트)운영(신고)YY820456055-365-1943
256257서창동행복한동화어린이집민간경상남도 양산시 신명동1길 20 (명동)운영(신고)YY1355175055-363-0236
257258양주동현대새싹어린이집가정경상남도 양산시 양주로 114 현대아파트 관리동운영(신고)YY720375055-366-1729
258259물금읍호크마어린이집민간경상남도 양산시 물금읍 서들로 179 111동 1층운영(신고)YY8394111055-367-5790
259260양주동화개어린이집가정경상남도 양산시 양주로 113 103동 103호(중부동, 양산신도시뜰안채아파트)미운영NY214338055-386-9591
260261서창동화성파크어린이집민간경상남도 양산시 대운5길 7 화성파크드림아파트 105동 (명동)운영(신고)YY8304128055-386-6654
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