Overview

Dataset statistics

Number of variables13
Number of observations301
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.2 KiB
Average record size in memory109.4 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://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3040402

Alerts

순번 is highly overall correlated with 행정동High correlation
보육교직원현원 is highly overall correlated with 정원 and 2 other fieldsHigh correlation
정원 is highly overall correlated with 보육교직원현원 and 2 other fieldsHigh correlation
보육실수 is highly overall correlated with 보육교직원현원 and 2 other fieldsHigh correlation
보육실면적 is highly overall correlated with 보육교직원현원 and 2 other fieldsHigh correlation
행정동 is highly overall correlated with 순번High correlation
인증평가참여 is highly imbalanced (63.5%)Imbalance
순번 has unique valuesUnique
어린이집 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:12:16.489920
Analysis finished2024-04-17 18:12:19.113165
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151
Minimum1
Maximum301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T03:12:19.179335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q176
median151
Q3226
95-th percentile286
Maximum301
Range300
Interquartile range (IQR)150

Descriptive statistics

Standard deviation87.035433
Coefficient of variation (CV)0.5763936
Kurtosis-1.2
Mean151
Median Absolute Deviation (MAD)75
Skewness0
Sum45451
Variance7575.1667
MonotonicityStrictly increasing
2024-04-18T03:12:19.305642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
Other values (291) 291
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%

행정동
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
물금읍
129 
동면
43 
양주동
25 
서창동
19 
평산동
19 
Other values (7)
66 

Length

Max length3
Median length3
Mean length2.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물금읍 129
42.9%
동면 43
 
14.3%
양주동 25
 
8.3%
서창동 19
 
6.3%
평산동 19
 
6.3%
덕계동 17
 
5.6%
삼성동 15
 
5.0%
소주동 13
 
4.3%
강서동 8
 
2.7%
상북면 7
 
2.3%
Other values (2) 6
 
2.0%

Length

2024-04-18T03:12:19.403367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 129
42.9%
동면 43
 
14.3%
양주동 25
 
8.3%
서창동 19
 
6.3%
평산동 19
 
6.3%
덕계동 17
 
5.6%
삼성동 15
 
5.0%
소주동 13
 
4.3%
강서동 8
 
2.7%
상북면 7
 
2.3%
Other values (2) 6
 
2.0%

어린이집
Text

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-18T03:12:19.583978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.9069767
Min length5

Characters and Unicode

Total characters2380
Distinct characters286
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

Unique301 ?
Unique (%)100.0%

Sample

1st rowN젤어린이집
2nd rowU&I아이맘어린이집
3rd row고운아이어린이집
4th row그린어린이집
5th row그린키즈어린이집
ValueCountFrequency (%)
부영사랑으로어린이집 2
 
0.7%
n젤어린이집 1
 
0.3%
사랑어린이집 1
 
0.3%
아름예다움어린이집 1
 
0.3%
쌍용eq어린이집 1
 
0.3%
시립휴먼시아어린이집 1
 
0.3%
시립미래아이어린이집 1
 
0.3%
숲속어린이집 1
 
0.3%
솜사탕어린이집 1
 
0.3%
성아어린이집 1
 
0.3%
Other values (294) 294
96.4%
2024-04-18T03:12:19.886683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 341
 
14.3%
어 306
 
12.9%
린 306
 
12.9%
집 301
 
12.6%
시 35
 
1.5%
아 35
 
1.5%
립 30
 
1.3%
사 29
 
1.2%
리 25
 
1.1%
랑 24
 
1.0%
Other values (276) 948
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2346
98.6%
Uppercase Letter 16
 
0.7%
Lowercase Letter 7
 
0.3%
Decimal Number 5
 
0.2%
Space Separator 4
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 341
 
14.5%
어 306
 
13.0%
린 306
 
13.0%
집 301
 
12.8%
시 35
 
1.5%
아 35
 
1.5%
립 30
 
1.3%
사 29
 
1.2%
리 25
 
1.1%
랑 24
 
1.0%
Other values (257) 914
39.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
18.8%
C 2
12.5%
Q 2
12.5%
N 2
12.5%
K 1
 
6.2%
H 1
 
6.2%
L 1
 
6.2%
G 1
 
6.2%
D 1
 
6.2%
U 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
5 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 5
71.4%
e 2
 
28.6%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2346
98.6%
Latin 23
 
1.0%
Common 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 341
 
14.5%
어 306
 
13.0%
린 306
 
13.0%
집 301
 
12.8%
시 35
 
1.5%
아 35
 
1.5%
립 30
 
1.3%
사 29
 
1.2%
리 25
 
1.1%
랑 24
 
1.0%
Other values (257) 914
39.0%
Latin
ValueCountFrequency (%)
i 5
21.7%
E 3
13.0%
C 2
 
8.7%
Q 2
 
8.7%
N 2
 
8.7%
e 2
 
8.7%
K 1
 
4.3%
H 1
 
4.3%
L 1
 
4.3%
G 1
 
4.3%
Other values (3) 3
13.0%
Common
ValueCountFrequency (%)
4
36.4%
2 2
18.2%
1 2
18.2%
- 1
 
9.1%
5 1
 
9.1%
& 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2346
98.6%
ASCII 34
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 341
 
14.5%
어 306
 
13.0%
린 306
 
13.0%
집 301
 
12.8%
시 35
 
1.5%
아 35
 
1.5%
립 30
 
1.3%
사 29
 
1.2%
리 25
 
1.1%
랑 24
 
1.0%
Other values (257) 914
39.0%
ASCII
ValueCountFrequency (%)
i 5
14.7%
4
11.8%
E 3
 
8.8%
C 2
 
5.9%
Q 2
 
5.9%
N 2
 
5.9%
2 2
 
5.9%
e 2
 
5.9%
1 2
 
5.9%
- 1
 
2.9%
Other values (9) 9
26.5%

어린이집유형
Categorical

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
가정
145 
민간
106 
국공립
30 
사회복지법인
 
11
직장
 
5
Other values (2)
 
4

Length

Max length6
Median length2
Mean length2.2724252
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 145
48.2%
민간 106
35.2%
국공립 30
 
10.0%
사회복지법인 11
 
3.7%
직장 5
 
1.7%
협동 2
 
0.7%
법인·단체등 2
 
0.7%

Length

2024-04-18T03:12:20.000100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:20.092625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 145
48.2%
민간 106
35.2%
국공립 30
 
10.0%
사회복지법인 11
 
3.7%
직장 5
 
1.7%
협동 2
 
0.7%
법인·단체등 2
 
0.7%

주소
Text

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-18T03:12:20.298172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length32.166113
Min length15

Characters and Unicode

Total characters9682
Distinct characters232
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

Unique301 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 물금읍 오봉로 192 넥센사원아파트 관리동내
2nd row경상남도 양산시 물금읍 물금로 76 105동 103호(한양수자인더퍼스트)
3rd row경상남도 양산시 물금읍 물금로 75 215동 101호(이지더원2차)
4th row경상남도 양산시 물금읍 범어로 77 우미린아파트 관리동
5th row경상남도 양산시 물금읍 범어로 77 103동 104호(우미린아파트)
ValueCountFrequency (%)
경상남도 301
 
15.7%
양산시 301
 
15.7%
물금읍 124
 
6.5%
동면 31
 
1.6%
관리동 30
 
1.6%
물금로 29
 
1.5%
양주로 24
 
1.3%
새실로 20
 
1.0%
11 18
 
0.9%
105동 17
 
0.9%
Other values (554) 1020
53.3%
2024-04-18T03:12:20.628960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1618
 
16.7%
1 604
 
6.2%
산 383
 
4.0%
양 378
 
3.9%
동 353
 
3.6%
0 335
 
3.5%
시 328
 
3.4%
상 323
 
3.3%
도 320
 
3.3%
남 318
 
3.3%
Other values (222) 4722
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5781
59.7%
Decimal Number 1840
 
19.0%
Space Separator 1618
 
16.7%
Open Punctuation 190
 
2.0%
Close Punctuation 167
 
1.7%
Other Punctuation 41
 
0.4%
Dash Punctuation 25
 
0.3%
Uppercase Letter 15
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 383
 
6.6%
양 378
 
6.5%
동 353
 
6.1%
시 328
 
5.7%
상 323
 
5.6%
도 320
 
5.5%
남 318
 
5.5%
경 303
 
5.2%
로 205
 
3.5%
금 191
 
3.3%
Other values (201) 2679
46.3%
Decimal Number
ValueCountFrequency (%)
1 604
32.8%
0 335
18.2%
2 170
 
9.2%
3 153
 
8.3%
5 135
 
7.3%
4 120
 
6.5%
6 112
 
6.1%
7 96
 
5.2%
9 61
 
3.3%
8 54
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 6
40.0%
H 3
20.0%
L 3
20.0%
C 2
 
13.3%
K 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1618
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5781
59.7%
Common 3881
40.1%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 383
 
6.6%
양 378
 
6.5%
동 353
 
6.1%
시 328
 
5.7%
상 323
 
5.6%
도 320
 
5.5%
남 318
 
5.5%
경 303
 
5.2%
로 205
 
3.5%
금 191
 
3.3%
Other values (201) 2679
46.3%
Common
ValueCountFrequency (%)
1618
41.7%
1 604
 
15.6%
0 335
 
8.6%
( 190
 
4.9%
2 170
 
4.4%
) 167
 
4.3%
3 153
 
3.9%
5 135
 
3.5%
4 120
 
3.1%
6 112
 
2.9%
Other values (5) 277
 
7.1%
Latin
ValueCountFrequency (%)
A 6
30.0%
e 5
25.0%
H 3
15.0%
L 3
15.0%
C 2
 
10.0%
K 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5781
59.7%
ASCII 3901
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1618
41.5%
1 604
 
15.5%
0 335
 
8.6%
( 190
 
4.9%
2 170
 
4.4%
) 167
 
4.3%
3 153
 
3.9%
5 135
 
3.5%
4 120
 
3.1%
6 112
 
2.9%
Other values (11) 297
 
7.6%
Hangul
ValueCountFrequency (%)
산 383
 
6.6%
양 378
 
6.5%
동 353
 
6.1%
시 328
 
5.7%
상 323
 
5.6%
도 320
 
5.5%
남 318
 
5.5%
경 303
 
5.2%
로 205
 
3.5%
금 191
 
3.3%
Other values (201) 2679
46.3%

통학차량
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
운영(신고)
194 
미운영
104 
<NA>
 
3

Length

Max length6
Median length6
Mean length4.9435216
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영(신고) 194
64.5%
미운영 104
34.6%
<NA> 3
 
1.0%

Length

2024-04-18T03:12:20.732456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:20.806900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영(신고 194
64.5%
미운영 104
34.6%
na 3
 
1.0%

연장보육반운영
Boolean

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size433.0 B
True
253 
False
48 
ValueCountFrequency (%)
True 253
84.1%
False 48
 
15.9%
2024-04-18T03:12:20.871390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증평가참여
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size433.0 B
True
280 
False
 
21
ValueCountFrequency (%)
True 280
93.0%
False 21
 
7.0%
2024-04-18T03:12:20.931781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)8.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean8.0766667
Minimum0
Maximum38
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T03:12:21.002774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q310
95-th percentile17.05
Maximum38
Range38
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.0869486
Coefficient of variation (CV)0.62983267
Kurtosis5.5057026
Mean8.0766667
Median Absolute Deviation (MAD)2
Skewness1.815693
Sum2423
Variance25.877046
MonotonicityNot monotonic
2024-04-18T03:12:21.090447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7 46
15.3%
6 39
13.0%
5 34
11.3%
4 25
8.3%
10 23
 
7.6%
8 21
 
7.0%
9 15
 
5.0%
13 13
 
4.3%
1 12
 
4.0%
3 11
 
3.7%
Other values (16) 61
20.3%
ValueCountFrequency (%)
0 2
 
0.7%
1 12
 
4.0%
2 8
 
2.7%
3 11
 
3.7%
4 25
8.3%
5 34
11.3%
6 39
13.0%
7 46
15.3%
8 21
7.0%
9 15
 
5.0%
ValueCountFrequency (%)
38 1
 
0.3%
27 1
 
0.3%
26 4
1.3%
22 1
 
0.3%
21 3
1.0%
20 1
 
0.3%
19 2
 
0.7%
18 2
 
0.7%
17 4
1.3%
16 7
2.3%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.607973
Minimum0
Maximum234
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T03:12:21.188426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q120
median24
Q343
95-th percentile120
Maximum234
Range234
Interquartile range (IQR)23

Descriptive statistics

Standard deviation35.873376
Coefficient of variation (CV)0.88340721
Kurtosis5.5888839
Mean40.607973
Median Absolute Deviation (MAD)8
Skewness2.25527
Sum12223
Variance1286.8991
MonotonicityNot monotonic
2024-04-18T03:12:21.294303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 98
32.6%
39 18
 
6.0%
19 15
 
5.0%
16 8
 
2.7%
27 7
 
2.3%
99 6
 
2.0%
13 6
 
2.0%
47 6
 
2.0%
30 5
 
1.7%
35 5
 
1.7%
Other values (75) 127
42.2%
ValueCountFrequency (%)
0 1
 
0.3%
10 1
 
0.3%
11 3
 
1.0%
12 1
 
0.3%
13 6
2.0%
14 2
 
0.7%
15 3
 
1.0%
16 8
2.7%
17 5
1.7%
18 4
1.3%
ValueCountFrequency (%)
234 1
0.3%
200 1
0.3%
178 1
0.3%
160 1
0.3%
159 1
0.3%
158 2
0.7%
155 1
0.3%
146 1
0.3%
132 1
0.3%
131 1
0.3%

보육실수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4119601
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T03:12:21.377548image/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 deviation2.0206574
Coefficient of variation (CV)0.4579954
Kurtosis3.7358357
Mean4.4119601
Median Absolute Deviation (MAD)1
Skewness1.8201166
Sum1328
Variance4.0830565
MonotonicityNot monotonic
2024-04-18T03:12:21.459897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 129
42.9%
4 72
23.9%
5 27
 
9.0%
6 22
 
7.3%
7 16
 
5.3%
8 12
 
4.0%
9 8
 
2.7%
2 7
 
2.3%
10 3
 
1.0%
11 2
 
0.7%
Other values (2) 3
 
1.0%
ValueCountFrequency (%)
2 7
 
2.3%
3 129
42.9%
4 72
23.9%
5 27
 
9.0%
6 22
 
7.3%
7 16
 
5.3%
8 12
 
4.0%
9 8
 
2.7%
10 3
 
1.0%
11 2
 
0.7%
ValueCountFrequency (%)
14 1
 
0.3%
13 2
 
0.7%
11 2
 
0.7%
10 3
 
1.0%
9 8
 
2.7%
8 12
 
4.0%
7 16
 
5.3%
6 22
 
7.3%
5 27
 
9.0%
4 72
23.9%

보육실면적
Real number (ℝ)

HIGH CORRELATION 

Distinct161
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.12957
Minimum38
Maximum945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T03:12:21.555580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile53
Q167
median100
Q3166
95-th percentile409
Maximum945
Range907
Interquartile range (IQR)99

Descriptive statistics

Standard deviation136.52011
Coefficient of variation (CV)0.91544628
Kurtosis8.6284222
Mean149.12957
Median Absolute Deviation (MAD)38
Skewness2.6750405
Sum44888
Variance18637.74
MonotonicityNot monotonic
2024-04-18T03:12:21.666683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 7
 
2.3%
120 7
 
2.3%
56 7
 
2.3%
63 6
 
2.0%
68 6
 
2.0%
70 6
 
2.0%
64 5
 
1.7%
60 5
 
1.7%
51 5
 
1.7%
77 5
 
1.7%
Other values (151) 242
80.4%
ValueCountFrequency (%)
38 1
 
0.3%
40 2
 
0.7%
48 1
 
0.3%
49 3
1.0%
50 1
 
0.3%
51 5
1.7%
53 5
1.7%
54 3
1.0%
55 4
1.3%
56 7
2.3%
ValueCountFrequency (%)
945 1
0.3%
791 1
0.3%
767 1
0.3%
743 1
0.3%
712 1
0.3%
599 1
0.3%
567 2
0.7%
553 1
0.3%
518 1
0.3%
517 1
0.3%

전화번호
Text

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-18T03:12:21.874718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.039867
Min length12

Characters and Unicode

Total characters3624
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

Unique301 ?
Unique (%)100.0%

Sample

1st row055-362-5180
2nd row055-362-5455
3rd row055-367-0367
4th row055-372-2378
5th row055-913-1291
ValueCountFrequency (%)
055-362-5180 1
 
0.3%
055-910-2272 1
 
0.3%
055-389-0216 1
 
0.3%
055-366-2004 1
 
0.3%
055-913-7090 1
 
0.3%
055-372-1616 1
 
0.3%
055-387-2118 1
 
0.3%
055-363-6060 1
 
0.3%
055-384-3175 1
 
0.3%
055-388-5189 1
 
0.3%
Other values (291) 291
96.7%
2024-04-18T03:12:22.174516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 727
20.1%
- 602
16.6%
0 517
14.3%
3 431
11.9%
8 271
 
7.5%
6 246
 
6.8%
2 200
 
5.5%
1 199
 
5.5%
7 187
 
5.2%
9 138
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3022
83.4%
Dash Punctuation 602
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 727
24.1%
0 517
17.1%
3 431
14.3%
8 271
 
9.0%
6 246
 
8.1%
2 200
 
6.6%
1 199
 
6.6%
7 187
 
6.2%
9 138
 
4.6%
4 106
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 727
20.1%
- 602
16.6%
0 517
14.3%
3 431
11.9%
8 271
 
7.5%
6 246
 
6.8%
2 200
 
5.5%
1 199
 
5.5%
7 187
 
5.2%
9 138
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 727
20.1%
- 602
16.6%
0 517
14.3%
3 431
11.9%
8 271
 
7.5%
6 246
 
6.8%
2 200
 
5.5%
1 199
 
5.5%
7 187
 
5.2%
9 138
 
3.8%

Interactions

2024-04-18T03:12:18.585889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.063306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.387156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.711710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.230584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.645956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.131308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.455235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.772262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.302739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.717154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.200411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.521684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.835850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.369564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.775717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.260059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.582565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.110774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.432635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.843578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.328182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:17.652081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.172813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:18.514361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T03:12:22.256118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동어린이집유형통학차량연장보육반운영인증평가참여보육교직원현원정원보육실수보육실면적
순번1.0000.9010.1210.2280.1410.3070.0580.2120.1670.000
행정동0.9011.0000.3900.3030.3440.3280.0000.3160.2970.391
어린이집유형0.1210.3901.0000.3810.2150.0870.5270.7270.5560.647
통학차량0.2280.3030.3811.0000.0000.2920.0900.2210.1820.168
연장보육반운영0.1410.3440.2150.0001.0000.2130.3030.1800.0000.000
인증평가참여0.3070.3280.0870.2920.2131.0000.3370.0000.0260.000
보육교직원현원0.0580.0000.5270.0900.3030.3371.0000.7750.8310.687
정원0.2120.3160.7270.2210.1800.0000.7751.0000.7870.946
보육실수0.1670.2970.5560.1820.0000.0260.8310.7871.0000.786
보육실면적0.0000.3910.6470.1680.0000.0000.6870.9460.7861.000
2024-04-18T03:12:22.348801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연장보육반운영인증평가참여행정동통학차량어린이집유형
연장보육반운영1.0000.1360.2630.0000.228
인증평가참여0.1361.0000.2500.1890.091
행정동0.2630.2501.0000.2310.199
통학차량0.0000.1890.2311.0000.404
어린이집유형0.2280.0910.1990.4041.000
2024-04-18T03:12:22.425986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번보육교직원현원정원보육실수보육실면적행정동어린이집유형통학차량연장보육반운영인증평가참여
순번1.000-0.0330.0240.0010.0610.6770.0530.1560.1050.232
보육교직원현원-0.0331.0000.7020.6290.6140.0000.3170.0790.2990.333
정원0.0240.7021.0000.7880.8670.1370.4790.1670.1360.000
보육실수0.0010.6290.7881.0000.7600.1230.3520.1870.0000.023
보육실면적0.0610.6140.8670.7601.0000.1750.3970.1270.0000.000
행정동0.6770.0000.1370.1230.1751.0000.1990.2310.2630.250
어린이집유형0.0530.3170.4790.3520.3970.1991.0000.4040.2280.091
통학차량0.1560.0790.1670.1870.1270.2310.4041.0000.0000.189
연장보육반운영0.1050.2990.1360.0000.0000.2630.2280.0001.0000.136
인증평가참여0.2320.3330.0000.0230.0000.2500.0910.1890.1361.000

Missing values

2024-04-18T03:12:18.928935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:12:19.061335image/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
01물금읍N젤어린이집직장경상남도 양산시 물금읍 오봉로 192 넥센사원아파트 관리동내미운영NY6415173055-362-5180
12물금읍U&I아이맘어린이집가정경상남도 양산시 물금읍 물금로 76 105동 103호(한양수자인더퍼스트)미운영YY319362055-362-5455
23물금읍고운아이어린이집가정경상남도 양산시 물금읍 물금로 75 215동 101호(이지더원2차)미운영YY720371055-367-0367
34물금읍그린어린이집민간경상남도 양산시 물금읍 범어로 77 우미린아파트 관리동운영(신고)YY10395175055-372-2378
45물금읍그린키즈어린이집가정경상남도 양산시 물금읍 범어로 77 103동 104호(우미린아파트)운영(신고)YY720455055-913-1291
56물금읍금빛-i어린이집가정경상남도 양산시 물금읍 새실로 11 714동 101호(대방노블랜드7차)운영(신고)YY820468055-386-1034
67물금읍꼬꼬마 어린이집가정경상남도 양산시 물금읍 물금로 76 106동 104호(한양수자인더퍼스트)운영(신고)YY520374055-387-5161
78물금읍꼬마천사어린이집가정경상남도 양산시 물금읍 청운로 131 205동 104호(부영사랑으로2차)운영(신고)YY720367055-382-2268
89물금읍꿈가득어린이집민간경상남도 양산시 물금읍 범어로 57 107동 1층미운영YY932498055-388-9966
910물금읍꿈그린어린이집가정경상남도 양산시 물금읍 범어로 77 104동 101호(우미린아파트)운영(신고)YY720364055-383-1691
순번행정동어린이집어린이집유형주소통학차량연장보육반운영인증평가참여보육교직원현원정원보육실수보육실면적전화번호
291292덕계동사랑이가득한어린이집가정경상남도 양산시 덕계11길 12 105동 105호 (덕계동, 부영벽산아파트)미운영YN313240055-386-5592
292293덕계동새들어린이집가정경상남도 양산시 웅상대로 866 106동 105호(덕계동, 대승하이아트1차아파트)운영(신고)YY420353055-388-0328
293294덕계동시립두산위브어린이집국공립경상남도 양산시 신덕계8길 40미운영YN826370055-386-1144
294295덕계동시립두산푸르미어린이집국공립경상남도 양산시 신덕계3길 36 관리동(덕계동, 양산두산위브1차아파트)미운영YY15866263055-383-8828
295296덕계동시립우성어린이집국공립경상남도 양산시 덕계회야길 16 105동 1층(덕계동, 우성스마트시티뷰아파트)미운영YY1028380055-362-4125
296297덕계동시립위브드림어린이집국공립경상남도 양산시 신덕계8길 37미운영YY10384110055-381-5180
297298덕계동시립이팝어린이집국공립경상남도 양산시 덕계7길 26 웅상종합사회복지관 내 1층 (덕계동)미운영YY8393294055-389-2888
298299덕계동야호어린이집가정경상남도 양산시 덕계5길 11 103동 106호(덕계동, 덕계동일스위트2차아파트)운영(신고)YY520353055-389-1090
299300덕계동한별어린이집가정경상남도 양산시 덕계11길 12 벽산아파트 102동 104호운영(신고)YY119362055-388-7494
300301덕계동해피프렌즈어린이집민간경상남도 양산시 덕계로 99-2 벽산아파트 관리동2층운영(신고)YY524365055-388-8520