Overview

Dataset statistics

Number of variables15
Number of observations2799
Missing cells3423
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory344.5 KiB
Average record size in memory126.0 B

Variable types

Text4
Categorical4
Numeric5
Boolean1
Unsupported1

Dataset

Description경남도내 어린이집 현황을 제공합니다.(어린이집명, 시설위치, 보육교사수, 정원수)
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3080787

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
정원수 is highly overall correlated with 보육교직원수 and 2 other fieldsHigh correlation
보육교직원수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
보육실수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
놀이터수 is highly overall correlated with 정원수 and 2 other fieldsHigh correlation
어린이집팩스번호 has 624 (22.3%) missing valuesMissing
홈페이지주소 has 2799 (100.0%) missing valuesMissing
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이터수 has 1822 (65.1%) zerosZeros
CCTV설치수 has 1616 (57.7%) zerosZeros

Reproduction

Analysis started2023-12-11 00:26:45.687478
Analysis finished2023-12-11 00:26:49.902316
Duration4.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이집명
Text

Distinct2154
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2023-12-11T09:26:50.148929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.6545195
Min length5

Characters and Unicode

Total characters21425
Distinct characters557
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

Unique1783 ?
Unique (%)63.7%

Sample

1st row창원시립 대원어린이집
2nd row창원시립 명곡어린이집
3rd row창원시립 봉곡어린이집
4th row창원시립 북면어린이집
5th row창원시립 사림어린이집
ValueCountFrequency (%)
어린이집 81
 
2.7%
창원시립 49
 
1.6%
꿈나무어린이집 8
 
0.3%
아이사랑어린이집 8
 
0.3%
다솜어린이집 8
 
0.3%
새싹어린이집 7
 
0.2%
샛별어린이집 7
 
0.2%
해맑은어린이집 6
 
0.2%
아이뜰어린이집 6
 
0.2%
사랑나무어린이집 6
 
0.2%
Other values (2163) 2793
93.8%
2023-12-11T09:26:50.683864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 3178
 
14.8%
린 2835
 
13.2%
어 2813
 
13.1%
집 2798
 
13.1%
아 400
 
1.9%
리 206
 
1.0%
나 199
 
0.9%
180
 
0.8%
사 169
 
0.8%
동 153
 
0.7%
Other values (547) 8494
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21117
98.6%
Space Separator 180
 
0.8%
Uppercase Letter 72
 
0.3%
Lowercase Letter 32
 
0.1%
Dash Punctuation 10
 
< 0.1%
Decimal Number 8
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3178
 
15.0%
린 2835
 
13.4%
어 2813
 
13.3%
집 2798
 
13.2%
아 400
 
1.9%
리 206
 
1.0%
나 199
 
0.9%
사 169
 
0.8%
동 153
 
0.7%
원 148
 
0.7%
Other values (505) 8218
38.9%
Uppercase Letter
ValueCountFrequency (%)
I 9
 
12.5%
L 6
 
8.3%
E 5
 
6.9%
A 5
 
6.9%
K 5
 
6.9%
C 4
 
5.6%
Y 4
 
5.6%
Q 4
 
5.6%
N 4
 
5.6%
W 3
 
4.2%
Other values (13) 23
31.9%
Lowercase Letter
ValueCountFrequency (%)
i 13
40.6%
e 8
25.0%
n 3
 
9.4%
t 2
 
6.2%
a 2
 
6.2%
u 2
 
6.2%
h 1
 
3.1%
r 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
5 1
 
12.5%
3 1
 
12.5%
8 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21117
98.6%
Common 204
 
1.0%
Latin 104
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3178
 
15.0%
린 2835
 
13.4%
어 2813
 
13.3%
집 2798
 
13.2%
아 400
 
1.9%
리 206
 
1.0%
나 199
 
0.9%
사 169
 
0.8%
동 153
 
0.7%
원 148
 
0.7%
Other values (505) 8218
38.9%
Latin
ValueCountFrequency (%)
i 13
 
12.5%
I 9
 
8.7%
e 8
 
7.7%
L 6
 
5.8%
E 5
 
4.8%
A 5
 
4.8%
K 5
 
4.8%
C 4
 
3.8%
Y 4
 
3.8%
Q 4
 
3.8%
Other values (21) 41
39.4%
Common
ValueCountFrequency (%)
180
88.2%
- 10
 
4.9%
1 3
 
1.5%
( 2
 
1.0%
) 2
 
1.0%
2 2
 
1.0%
5 1
 
0.5%
& 1
 
0.5%
. 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21117
98.6%
ASCII 308
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 3178
 
15.0%
린 2835
 
13.4%
어 2813
 
13.3%
집 2798
 
13.2%
아 400
 
1.9%
리 206
 
1.0%
나 199
 
0.9%
사 169
 
0.8%
동 153
 
0.7%
원 148
 
0.7%
Other values (505) 8218
38.9%
ASCII
ValueCountFrequency (%)
180
58.4%
i 13
 
4.2%
- 10
 
3.2%
I 9
 
2.9%
e 8
 
2.6%
L 6
 
1.9%
E 5
 
1.6%
A 5
 
1.6%
K 5
 
1.6%
C 4
 
1.3%
Other values (32) 63
 
20.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
경상남도
2799 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 2799
100.0%

Length

2023-12-11T09:26:50.832296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:50.939072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 2799
100.0%

시군구명
Categorical

Distinct22
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
김해시
563 
양산시
387 
진주시
263 
거제시
255 
창원시 진해구
217 
Other values (17)
1114 

Length

Max length9
Median length3
Mean length4.4698106
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원시 의창구
2nd row창원시 의창구
3rd row창원시 의창구
4th row창원시 의창구
5th row창원시 의창구

Common Values

ValueCountFrequency (%)
김해시 563
20.1%
양산시 387
13.8%
진주시 263
9.4%
거제시 255
9.1%
창원시 진해구 217
 
7.8%
창원시 의창구 210
 
7.5%
창원시 성산구 198
 
7.1%
창원시 마산회원구 144
 
5.1%
창원시 마산합포구 125
 
4.5%
통영시 97
 
3.5%
Other values (12) 340
12.1%

Length

2023-12-11T09:26:51.042044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 894
24.2%
김해시 563
15.2%
양산시 387
10.5%
진주시 263
 
7.1%
거제시 255
 
6.9%
진해구 217
 
5.9%
의창구 210
 
5.7%
성산구 198
 
5.4%
마산회원구 144
 
3.9%
마산합포구 125
 
3.4%
Other values (13) 437
11.8%

어린이집유형구분
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
가정
1396 
민간
1007 
국공립
190 
사회복지법인
 
98
직장
 
57
Other values (2)
 
51

Length

Max length6
Median length2
Mean length2.2583065
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가정 1396
49.9%
민간 1007
36.0%
국공립 190
 
6.8%
사회복지법인 98
 
3.5%
직장 57
 
2.0%
법인·단체 47
 
1.7%
협동 4
 
0.1%

Length

2023-12-11T09:26:51.181676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:51.326495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 1396
49.9%
민간 1007
36.0%
국공립 190
 
6.8%
사회복지법인 98
 
3.5%
직장 57
 
2.0%
법인·단체 47
 
1.7%
협동 4
 
0.1%

정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.747767
Minimum6
Maximum378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-12-11T09:26:51.454870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile15
Q120
median20
Q349
95-th percentile120
Maximum378
Range372
Interquartile range (IQR)29

Descriptive statistics

Standard deviation38.933843
Coefficient of variation (CV)0.91078075
Kurtosis9.308735
Mean42.747767
Median Absolute Deviation (MAD)7
Skewness2.5571495
Sum119651
Variance1515.8441
MonotonicityNot monotonic
2023-12-11T09:26:51.902160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 714
25.5%
19 344
 
12.3%
39 121
 
4.3%
49 113
 
4.0%
18 91
 
3.3%
13 68
 
2.4%
16 67
 
2.4%
99 66
 
2.4%
17 53
 
1.9%
30 34
 
1.2%
Other values (170) 1128
40.3%
ValueCountFrequency (%)
6 1
 
< 0.1%
10 2
 
0.1%
11 20
 
0.7%
12 6
 
0.2%
13 68
2.4%
14 17
 
0.6%
15 30
 
1.1%
16 67
2.4%
17 53
1.9%
18 91
3.3%
ValueCountFrequency (%)
378 1
 
< 0.1%
320 1
 
< 0.1%
300 4
0.1%
268 1
 
< 0.1%
262 2
0.1%
241 1
 
< 0.1%
240 1
 
< 0.1%
234 1
 
< 0.1%
230 2
0.1%
225 1
 
< 0.1%

보육교직원수
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4233655
Minimum0
Maximum49
Zeros13
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-12-11T09:26:52.085495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q15
median6
Q39
95-th percentile17
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7389807
Coefficient of variation (CV)0.6383871
Kurtosis9.8233009
Mean7.4233655
Median Absolute Deviation (MAD)2
Skewness2.3404927
Sum20778
Variance22.457938
MonotonicityNot monotonic
2023-12-11T09:26:52.226065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 500
17.9%
6 450
16.1%
4 296
10.6%
7 233
8.3%
3 204
7.3%
8 176
 
6.3%
9 162
 
5.8%
10 136
 
4.9%
11 109
 
3.9%
2 98
 
3.5%
Other values (27) 435
15.5%
ValueCountFrequency (%)
0 13
 
0.5%
1 29
 
1.0%
2 98
 
3.5%
3 204
7.3%
4 296
10.6%
5 500
17.9%
6 450
16.1%
7 233
8.3%
8 176
 
6.3%
9 162
 
5.8%
ValueCountFrequency (%)
49 1
 
< 0.1%
48 1
 
< 0.1%
47 1
 
< 0.1%
40 1
 
< 0.1%
38 1
 
< 0.1%
31 1
 
< 0.1%
30 2
 
0.1%
29 2
 
0.1%
28 3
 
0.1%
27 9
0.3%

소재지도로명주소
Text

Distinct2793
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2023-12-11T09:26:52.630514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length34.523044
Min length15

Characters and Unicode

Total characters96630
Distinct characters489
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2787 ?
Unique (%)99.6%

Sample

1st row경상남도 창원시 의창구 대원로27번길 34 창원시립 대원어린이집
2nd row경상남도 창원시 의창구 태복산로15번길 8 창원시립명곡어린이집
3rd row경상남도 창원시 의창구 창이대로 195
4th row경상남도 창원시 의창구 북면 천주로1128번길 7 북면어린이집
5th row경상남도 창원시 의창구 창이대로397번길 17
ValueCountFrequency (%)
경상남도 2809
 
15.4%
창원시 900
 
4.9%
김해시 569
 
3.1%
양산시 387
 
2.1%
진주시 263
 
1.4%
거제시 255
 
1.4%
진해구 217
 
1.2%
의창구 210
 
1.1%
성산구 199
 
1.1%
마산회원구 149
 
0.8%
Other values (4233) 12321
67.4%
2023-12-11T09:26:53.220935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15509
 
16.0%
1 5382
 
5.6%
동 3738
 
3.9%
남 3143
 
3.3%
상 3054
 
3.2%
도 2935
 
3.0%
0 2899
 
3.0%
경 2875
 
3.0%
시 2726
 
2.8%
로 2202
 
2.3%
Other values (479) 52167
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57836
59.9%
Decimal Number 17990
 
18.6%
Space Separator 15509
 
16.0%
Open Punctuation 1721
 
1.8%
Close Punctuation 1720
 
1.8%
Other Punctuation 987
 
1.0%
Dash Punctuation 643
 
0.7%
Uppercase Letter 175
 
0.2%
Lowercase Letter 47
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3738
 
6.5%
남 3143
 
5.4%
상 3054
 
5.3%
도 2935
 
5.1%
경 2875
 
5.0%
시 2726
 
4.7%
로 2202
 
3.8%
원 1446
 
2.5%
산 1427
 
2.5%
길 1396
 
2.4%
Other values (430) 32894
56.9%
Uppercase Letter
ValueCountFrequency (%)
H 29
16.6%
L 28
16.0%
A 27
15.4%
S 27
15.4%
G 8
 
4.6%
E 7
 
4.0%
K 6
 
3.4%
C 6
 
3.4%
T 6
 
3.4%
D 5
 
2.9%
Other values (9) 26
14.9%
Decimal Number
ValueCountFrequency (%)
1 5382
29.9%
0 2899
16.1%
2 2188
12.2%
3 1668
 
9.3%
4 1310
 
7.3%
5 1216
 
6.8%
6 932
 
5.2%
7 900
 
5.0%
8 756
 
4.2%
9 739
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 36
76.6%
a 2
 
4.3%
s 2
 
4.3%
l 2
 
4.3%
u 1
 
2.1%
t 1
 
2.1%
x 1
 
2.1%
k 1
 
2.1%
n 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 958
97.1%
. 18
 
1.8%
/ 5
 
0.5%
· 5
 
0.5%
: 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
15509
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1721
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 643
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57836
59.9%
Common 38572
39.9%
Latin 222
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3738
 
6.5%
남 3143
 
5.4%
상 3054
 
5.3%
도 2935
 
5.1%
경 2875
 
5.0%
시 2726
 
4.7%
로 2202
 
3.8%
원 1446
 
2.5%
산 1427
 
2.5%
길 1396
 
2.4%
Other values (430) 32894
56.9%
Latin
ValueCountFrequency (%)
e 36
16.2%
H 29
13.1%
L 28
12.6%
A 27
12.2%
S 27
12.2%
G 8
 
3.6%
E 7
 
3.2%
K 6
 
2.7%
C 6
 
2.7%
T 6
 
2.7%
Other values (18) 42
18.9%
Common
ValueCountFrequency (%)
15509
40.2%
1 5382
 
14.0%
0 2899
 
7.5%
2 2188
 
5.7%
( 1721
 
4.5%
) 1720
 
4.5%
3 1668
 
4.3%
4 1310
 
3.4%
5 1216
 
3.2%
, 958
 
2.5%
Other values (11) 4001
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57836
59.9%
ASCII 38789
40.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15509
40.0%
1 5382
 
13.9%
0 2899
 
7.5%
2 2188
 
5.6%
( 1721
 
4.4%
) 1720
 
4.4%
3 1668
 
4.3%
4 1310
 
3.4%
5 1216
 
3.1%
, 958
 
2.5%
Other values (38) 4218
 
10.9%
Hangul
ValueCountFrequency (%)
동 3738
 
6.5%
남 3143
 
5.4%
상 3054
 
5.3%
도 2935
 
5.1%
경 2875
 
5.0%
시 2726
 
4.7%
로 2202
 
3.8%
원 1446
 
2.5%
산 1427
 
2.5%
길 1396
 
2.4%
Other values (430) 32894
56.9%
None
ValueCountFrequency (%)
· 5
100.0%

어린이집전화번호
Text

Distinct2796
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2023-12-11T09:26:53.522742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.031083
Min length12

Characters and Unicode

Total characters33675
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

Unique2793 ?
Unique (%)99.8%

Sample

1st row055-273-9540
2nd row055-277-7274
3rd row055-288-6746
4th row055-298-5998
5th row055-282-9010
ValueCountFrequency (%)
055-385-8085 2
 
0.1%
055-245-3907 2
 
0.1%
055-363-3531 2
 
0.1%
055-934-1308 1
 
< 0.1%
055-688-4640 1
 
< 0.1%
055-633-5878 1
 
< 0.1%
055-273-9540 1
 
< 0.1%
055-637-5018 1
 
< 0.1%
055-638-1273 1
 
< 0.1%
055-681-1239 1
 
< 0.1%
Other values (2786) 2786
99.5%
2023-12-11T09:26:53.922017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7515
22.3%
- 5598
16.6%
0 4507
13.4%
3 2861
 
8.5%
2 2607
 
7.7%
6 2055
 
6.1%
7 2011
 
6.0%
8 1788
 
5.3%
1 1694
 
5.0%
4 1623
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28077
83.4%
Dash Punctuation 5598
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7515
26.8%
0 4507
16.1%
3 2861
 
10.2%
2 2607
 
9.3%
6 2055
 
7.3%
7 2011
 
7.2%
8 1788
 
6.4%
1 1694
 
6.0%
4 1623
 
5.8%
9 1416
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 5598
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33675
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7515
22.3%
- 5598
16.6%
0 4507
13.4%
3 2861
 
8.5%
2 2607
 
7.7%
6 2055
 
6.1%
7 2011
 
6.0%
8 1788
 
5.3%
1 1694
 
5.0%
4 1623
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7515
22.3%
- 5598
16.6%
0 4507
13.4%
3 2861
 
8.5%
2 2607
 
7.7%
6 2055
 
6.1%
7 2011
 
6.0%
8 1788
 
5.3%
1 1694
 
5.0%
4 1623
 
4.8%

어린이집팩스번호
Text

MISSING 

Distinct2147
Distinct (%)98.7%
Missing624
Missing (%)22.3%
Memory size22.0 KiB
2023-12-11T09:26:54.190006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.050115
Min length12

Characters and Unicode

Total characters26209
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

Unique2120 ?
Unique (%)97.5%

Sample

1st row055-273-9544
2nd row055-277-7274
3rd row055-288-6707
4th row055-298-5908
5th row055-286-9010
ValueCountFrequency (%)
000-0000-0000 3
 
0.1%
055-265-5225 2
 
0.1%
055-362-0106 2
 
0.1%
055-231-3706 2
 
0.1%
055-231-6747 2
 
0.1%
055-241-5162 2
 
0.1%
050-5580-6040 2
 
0.1%
055-326-1973 2
 
0.1%
055-387-3394 2
 
0.1%
055-366-9378 2
 
0.1%
Other values (2137) 2154
99.0%
2023-12-11T09:26:54.584623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5759
22.0%
- 4350
16.6%
0 3541
13.5%
3 2218
 
8.5%
2 2025
 
7.7%
6 1585
 
6.0%
7 1562
 
6.0%
8 1370
 
5.2%
1 1334
 
5.1%
4 1329
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21859
83.4%
Dash Punctuation 4350
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5759
26.3%
0 3541
16.2%
3 2218
 
10.1%
2 2025
 
9.3%
6 1585
 
7.3%
7 1562
 
7.1%
8 1370
 
6.3%
1 1334
 
6.1%
4 1329
 
6.1%
9 1136
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 4350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5759
22.0%
- 4350
16.6%
0 3541
13.5%
3 2218
 
8.5%
2 2025
 
7.7%
6 1585
 
6.0%
7 1562
 
6.0%
8 1370
 
5.2%
1 1334
 
5.1%
4 1329
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5759
22.0%
- 4350
16.6%
0 3541
13.5%
3 2218
 
8.5%
2 2025
 
7.7%
6 1585
 
6.0%
7 1562
 
6.0%
8 1370
 
5.2%
1 1334
 
5.1%
4 1329
 
5.1%

보육실수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6277242
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-12-11T09:26:54.720931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q35
95-th percentile9
Maximum22
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1851478
Coefficient of variation (CV)0.47218626
Kurtosis6.2701517
Mean4.6277242
Median Absolute Deviation (MAD)1
Skewness2.1098111
Sum12953
Variance4.7748708
MonotonicityNot monotonic
2023-12-11T09:26:54.825544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 969
34.6%
4 789
28.2%
5 338
 
12.1%
6 213
 
7.6%
7 155
 
5.5%
8 104
 
3.7%
9 57
 
2.0%
2 52
 
1.9%
10 41
 
1.5%
11 30
 
1.1%
Other values (10) 51
 
1.8%
ValueCountFrequency (%)
1 4
 
0.1%
2 52
 
1.9%
3 969
34.6%
4 789
28.2%
5 338
 
12.1%
6 213
 
7.6%
7 155
 
5.5%
8 104
 
3.7%
9 57
 
2.0%
10 41
 
1.5%
ValueCountFrequency (%)
22 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
 
0.1%
16 2
 
0.1%
15 4
 
0.1%
14 6
 
0.2%
13 15
0.5%
12 15
0.5%
11 30
1.1%

놀이터수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47266881
Minimum0
Maximum10
Zeros1822
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-12-11T09:26:54.939423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.76970404
Coefficient of variation (CV)1.6284215
Kurtosis12.547981
Mean0.47266881
Median Absolute Deviation (MAD)0
Skewness2.4116557
Sum1323
Variance0.5924443
MonotonicityNot monotonic
2023-12-11T09:26:55.058790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1822
65.1%
1 713
 
25.5%
2 206
 
7.4%
3 44
 
1.6%
4 11
 
0.4%
10 1
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 1822
65.1%
1 713
 
25.5%
2 206
 
7.4%
3 44
 
1.6%
4 11
 
0.4%
5 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 11
 
0.4%
3 44
 
1.6%
2 206
 
7.4%
1 713
 
25.5%
0 1822
65.1%

CCTV설치수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9163987
Minimum0
Maximum46
Zeros1616
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-12-11T09:26:55.167148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile13
Maximum46
Range46
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6531764
Coefficient of variation (CV)1.5955213
Kurtosis8.3172708
Mean2.9163987
Median Absolute Deviation (MAD)0
Skewness2.3584008
Sum8163
Variance21.652051
MonotonicityNot monotonic
2023-12-11T09:26:55.323165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1616
57.7%
4 404
 
14.4%
8 120
 
4.3%
6 97
 
3.5%
5 72
 
2.6%
7 65
 
2.3%
3 57
 
2.0%
1 45
 
1.6%
2 44
 
1.6%
16 43
 
1.5%
Other values (20) 236
 
8.4%
ValueCountFrequency (%)
0 1616
57.7%
1 45
 
1.6%
2 44
 
1.6%
3 57
 
2.0%
4 404
 
14.4%
5 72
 
2.6%
6 97
 
3.5%
7 65
 
2.3%
8 120
 
4.3%
9 39
 
1.4%
ValueCountFrequency (%)
46 1
 
< 0.1%
33 1
 
< 0.1%
32 5
0.2%
31 1
 
< 0.1%
25 1
 
< 0.1%
24 2
 
0.1%
23 4
0.1%
22 5
0.2%
21 3
 
0.1%
20 8
0.3%

통학차량운영여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
True
2257 
False
542 
ValueCountFrequency (%)
True 2257
80.6%
False 542
 
19.4%
2023-12-11T09:26:55.440832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2799
Missing (%)100.0%
Memory size24.7 KiB

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2019-05-31
2799 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-05-31
2nd row2019-05-31
3rd row2019-05-31
4th row2019-05-31
5th row2019-05-31

Common Values

ValueCountFrequency (%)
2019-05-31 2799
100.0%

Length

2023-12-11T09:26:55.535045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:55.631585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-05-31 2799
100.0%

Interactions

2023-12-11T09:26:48.485743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:46.671634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.076261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.518947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.950360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.598474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:46.755472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.159629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.601213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.046846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.703205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:46.834540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.237288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.678765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.135054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.871664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:46.911169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.342625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.756721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.263861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:49.151286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:46.995126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.444582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:47.855944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:26:48.372638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:26:55.697755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명어린이집유형구분정원수보육교직원수보육실수놀이터수CCTV설치수통학차량운영여부
시군구명1.0000.3970.1650.1430.2650.2510.1960.261
어린이집유형구분0.3971.0000.5150.4780.4690.4320.3880.277
정원수0.1650.5151.0000.8680.9100.5510.6920.136
보육교직원수0.1430.4780.8681.0000.8160.4520.7130.158
보육실수0.2650.4690.9100.8161.0000.4660.6030.159
놀이터수0.2510.4320.5510.4520.4661.0000.3640.124
CCTV설치수0.1960.3880.6920.7130.6030.3641.0000.072
통학차량운영여부0.2610.2770.1360.1580.1590.1240.0721.000
2023-12-11T09:26:55.833868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통학차량운영여부시군구명어린이집유형구분
통학차량운영여부1.0000.2060.296
시군구명0.2061.0000.181
어린이집유형구분0.2960.1811.000
2023-12-11T09:26:55.925733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수보육교직원수보육실수놀이터수CCTV설치수시군구명어린이집유형구분통학차량운영여부
정원수1.0000.7740.7730.6770.4370.0620.2910.104
보육교직원수0.7741.0000.6620.5770.3910.0530.2660.121
보육실수0.7730.6621.0000.6020.4370.1010.2600.121
놀이터수0.6770.5770.6021.0000.3810.0140.1050.057
CCTV설치수0.4370.3910.4370.3811.0000.0820.2180.071
시군구명0.0620.0530.1010.0140.0821.0000.1810.206
어린이집유형구분0.2910.2660.2600.1050.2180.1811.0000.296
통학차량운영여부0.1040.1210.1210.0570.0710.2060.2961.000

Missing values

2023-12-11T09:26:49.387337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:26:49.775091image/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

어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
0창원시립 대원어린이집경상남도창원시 의창구국공립9514경상남도 창원시 의창구 대원로27번길 34 창원시립 대원어린이집055-273-9540055-273-95447113Y<NA>2019-05-31
1창원시립 명곡어린이집경상남도창원시 의창구국공립459경상남도 창원시 의창구 태복산로15번길 8 창원시립명곡어린이집055-277-7274055-277-7274303Y<NA>2019-05-31
2창원시립 봉곡어린이집경상남도창원시 의창구국공립11012경상남도 창원시 의창구 창이대로 195055-288-6746055-288-67078117Y<NA>2019-05-31
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어린이집명시도명시군구명어린이집유형구분정원수보육교직원수소재지도로명주소어린이집전화번호어린이집팩스번호보육실수놀이터수CCTV설치수통학차량운영여부홈페이지주소데이터기준일자
2789가야어린이집경상남도합천군국공립518경상남도 합천군 가야면 황산1길 86-5055-932-8558055-931-8557519Y<NA>2019-05-31
2790합천어린이집경상남도합천군국공립9915경상남도 합천군 합천읍 동서로 166055-931-2739055-933-3738719Y<NA>2019-05-31
2791삼가어린이집경상남도합천군국공립7711경상남도 합천군 삼가면 소오길 53-7055-931-0253055-931-8846614Y<NA>2019-05-31
2792초계참빛어린이집경상남도합천군사회복지법인659경상남도 합천군 초계면 내동아막길 11-3055-932-1308055-932-1307711Y<NA>2019-05-31
2793삼육어린이집경상남도합천군법인·단체7211경상남도 합천군 합천읍 중앙로1길 10-5055-931-3604055-931-3604610Y<NA>2019-05-31
2794원광어린이집경상남도합천군법인·단체749경상남도 합천군 합천읍 남정1길 7055-931-1914055-931-9490410Y<NA>2019-05-31
2795해맑은어린이집경상남도합천군민간6911경상남도 합천군 합천읍 중앙로 7055-934-1308<NA>5114Y<NA>2019-05-31
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