Overview

Dataset statistics

Number of variables17
Number of observations570
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.8 KiB
Average record size in memory145.2 B

Variable types

Categorical3
Text5
Numeric9

Dataset

Description장애인어린이집 현황(전문,통합)
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=MMY0ZTOIDIK8CWHJ8ESY24995581&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
총정원수(명) is highly overall correlated with 총현원수(명) and 2 other fieldsHigh correlation
총현원수(명) is highly overall correlated with 총정원수(명) and 2 other fieldsHigh correlation
장애아정원수(명) is highly overall correlated with 장애아현원수(명) and 2 other fieldsHigh correlation
장애아현원수(명) is highly overall correlated with 장애아정원수(명) and 2 other fieldsHigh correlation
총교직원수(명) is highly overall correlated with 총정원수(명) and 4 other fieldsHigh correlation
CCTV설치대수(대) is highly overall correlated with 총정원수(명) and 2 other fieldsHigh correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
어린이집분류명 is highly overall correlated with 장애아정원수(명) and 1 other fieldsHigh correlation
어린이집분류명 is highly imbalanced (78.9%)Imbalance
시설분류명 is highly imbalanced (71.0%)Imbalance
총현원수(명) has 10 (1.8%) zerosZeros
장애아정원수(명) has 89 (15.6%) zerosZeros
장애아현원수(명) has 89 (15.6%) zerosZeros
총교직원수(명) has 8 (1.4%) zerosZeros
CCTV설치대수(대) has 11 (1.9%) zerosZeros

Reproduction

Analysis started2024-03-12 23:11:54.333102
Analysis finished2024-03-12 23:12:01.450418
Duration7.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
시흥시
49 
고양시
48 
남양주시
47 
파주시
41 
성남시
40 
Other values (25)
345 

Length

Max length4
Median length3
Mean length3.1070175
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
시흥시 49
 
8.6%
고양시 48
 
8.4%
남양주시 47
 
8.2%
파주시 41
 
7.2%
성남시 40
 
7.0%
부천시 32
 
5.6%
광주시 31
 
5.4%
화성시 25
 
4.4%
용인시 25
 
4.4%
안산시 24
 
4.2%
Other values (20) 208
36.5%

Length

2024-03-13T08:12:01.508407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시흥시 49
 
8.6%
고양시 48
 
8.4%
남양주시 47
 
8.2%
파주시 41
 
7.2%
성남시 40
 
7.0%
부천시 32
 
5.6%
광주시 31
 
5.4%
화성시 25
 
4.4%
용인시 25
 
4.4%
안산시 24
 
4.2%
Other values (20) 208
36.5%

어린이집분류명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
통합어린이집
551 
전문어린이집
 
19

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통합어린이집 551
96.7%
전문어린이집 19
 
3.3%

Length

2024-03-13T08:12:01.598229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:12:01.676235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통합어린이집 551
96.7%
전문어린이집 19
 
3.3%

기관명
Text

Distinct564
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-13T08:12:01.819855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.9824561
Min length6

Characters and Unicode

Total characters5120
Distinct characters343
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique558 ?
Unique (%)97.9%

Sample

1st row조종하나어린이집
2nd row청평새나래어린이집
3rd row한석봉어린이집
4th row고양시립개나리어린이집
5th row고양시립고양어린이집
ValueCountFrequency (%)
시립 6
 
1.0%
어린이집 3
 
0.5%
새롬어린이집 2
 
0.3%
삼정어린이집 2
 
0.3%
해누리어린이집 2
 
0.3%
도촌어린이집 2
 
0.3%
시립별가람어린이집 2
 
0.3%
해오름어린이집 2
 
0.3%
곰두리어린이집 1
 
0.2%
공립천보어린이집 1
 
0.2%
Other values (562) 562
96.1%
2024-03-13T08:12:02.086105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 638
 
12.5%
어 579
 
11.3%
린 578
 
11.3%
집 570
 
11.1%
시 303
 
5.9%
립 297
 
5.8%
양 51
 
1.0%
동 47
 
0.9%
고 46
 
0.9%
지 35
 
0.7%
Other values (333) 1976
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5046
98.6%
Decimal Number 48
 
0.9%
Space Separator 15
 
0.3%
Uppercase Letter 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 638
 
12.6%
어 579
 
11.5%
린 578
 
11.5%
집 570
 
11.3%
시 303
 
6.0%
립 297
 
5.9%
양 51
 
1.0%
동 47
 
0.9%
고 46
 
0.9%
지 35
 
0.7%
Other values (316) 1902
37.7%
Decimal Number
ValueCountFrequency (%)
2 19
39.6%
1 13
27.1%
3 8
16.7%
4 3
 
6.2%
7 2
 
4.2%
5 1
 
2.1%
9 1
 
2.1%
0 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
K 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5046
98.6%
Common 69
 
1.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 638
 
12.6%
어 579
 
11.5%
린 578
 
11.5%
집 570
 
11.3%
시 303
 
6.0%
립 297
 
5.9%
양 51
 
1.0%
동 47
 
0.9%
고 46
 
0.9%
지 35
 
0.7%
Other values (316) 1902
37.7%
Common
ValueCountFrequency (%)
2 19
27.5%
15
21.7%
1 13
18.8%
3 8
11.6%
4 3
 
4.3%
( 2
 
2.9%
) 2
 
2.9%
7 2
 
2.9%
5 1
 
1.4%
9 1
 
1.4%
Other values (3) 3
 
4.3%
Latin
ValueCountFrequency (%)
S 2
40.0%
i 1
20.0%
e 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5046
98.6%
ASCII 73
 
1.4%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 638
 
12.6%
어 579
 
11.5%
린 578
 
11.5%
집 570
 
11.3%
시 303
 
6.0%
립 297
 
5.9%
양 51
 
1.0%
동 47
 
0.9%
고 46
 
0.9%
지 35
 
0.7%
Other values (316) 1902
37.7%
ASCII
ValueCountFrequency (%)
2 19
26.0%
15
20.5%
1 13
17.8%
3 8
11.0%
4 3
 
4.1%
( 2
 
2.7%
) 2
 
2.7%
7 2
 
2.7%
S 2
 
2.7%
5 1
 
1.4%
Other values (6) 6
 
8.2%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

시설분류명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
국공립어린이집
483 
민간어린이집
65 
사회복지법인
 
10
법인/단체 등
 
7
가정어린이집
 
2
Other values (2)
 
3

Length

Max length7
Median length7
Mean length6.8596491
Min length6

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
국공립어린이집 483
84.7%
민간어린이집 65
 
11.4%
사회복지법인 10
 
1.8%
법인/단체 등 7
 
1.2%
가정어린이집 2
 
0.4%
협동어린이집 2
 
0.4%
직장어린이집 1
 
0.2%

Length

2024-03-13T08:12:02.204622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:12:02.286304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국공립어린이집 483
83.7%
민간어린이집 65
 
11.3%
사회복지법인 10
 
1.7%
법인/단체 7
 
1.2%
등 7
 
1.2%
가정어린이집 2
 
0.3%
협동어린이집 2
 
0.3%
직장어린이집 1
 
0.2%

소재지지번주소
Text

Distinct564
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-13T08:12:02.505022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length24.587719
Min length16

Characters and Unicode

Total characters14015
Distinct characters336
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

Unique558 ?
Unique (%)97.9%

Sample

1st row경기도 가평군 조종면 현리 567-25번지
2nd row경기도 가평군 청평면 청평리 483-23번지
3rd row경기도 가평군 가평읍 읍내리 574-2번지
4th row경기도 고양시 덕양구 신원동 613번지 신원마을엘에이치3단지
5th row경기도 고양시 덕양구 고양동 233-2번지
ValueCountFrequency (%)
경기도 570
 
20.3%
시흥시 49
 
1.7%
고양시 48
 
1.7%
남양주시 47
 
1.7%
파주시 41
 
1.5%
성남시 40
 
1.4%
덕양구 33
 
1.2%
부천시 32
 
1.1%
광주시 31
 
1.1%
용인시 25
 
0.9%
Other values (1153) 1892
67.4%
2024-03-13T08:12:02.842020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2238
 
16.0%
지 690
 
4.9%
시 657
 
4.7%
도 611
 
4.4%
기 587
 
4.2%
경 574
 
4.1%
번 566
 
4.0%
동 550
 
3.9%
1 460
 
3.3%
2 271
 
1.9%
Other values (326) 6811
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9268
66.1%
Space Separator 2238
 
16.0%
Decimal Number 2223
 
15.9%
Dash Punctuation 248
 
1.8%
Uppercase Letter 22
 
0.2%
Lowercase Letter 13
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 690
 
7.4%
시 657
 
7.1%
도 611
 
6.6%
기 587
 
6.3%
경 574
 
6.2%
번 566
 
6.1%
동 550
 
5.9%
구 227
 
2.4%
양 195
 
2.1%
주 153
 
1.7%
Other values (297) 4458
48.1%
Decimal Number
ValueCountFrequency (%)
1 460
20.7%
2 271
12.2%
6 207
9.3%
3 206
9.3%
5 191
8.6%
4 190
8.5%
7 186
8.4%
0 178
 
8.0%
9 173
 
7.8%
8 161
 
7.2%
Uppercase Letter
ValueCountFrequency (%)
I 6
27.3%
L 3
13.6%
H 3
13.6%
K 2
 
9.1%
R 2
 
9.1%
A 2
 
9.1%
P 2
 
9.1%
S 1
 
4.5%
T 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
61.5%
h 2
 
15.4%
p 1
 
7.7%
a 1
 
7.7%
r 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
& 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
2238
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9268
66.1%
Common 4712
33.6%
Latin 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 690
 
7.4%
시 657
 
7.1%
도 611
 
6.6%
기 587
 
6.3%
경 574
 
6.2%
번 566
 
6.1%
동 550
 
5.9%
구 227
 
2.4%
양 195
 
2.1%
주 153
 
1.7%
Other values (297) 4458
48.1%
Common
ValueCountFrequency (%)
2238
47.5%
1 460
 
9.8%
2 271
 
5.8%
- 248
 
5.3%
6 207
 
4.4%
3 206
 
4.4%
5 191
 
4.1%
4 190
 
4.0%
7 186
 
3.9%
0 178
 
3.8%
Other values (5) 337
 
7.2%
Latin
ValueCountFrequency (%)
e 8
22.9%
I 6
17.1%
L 3
 
8.6%
H 3
 
8.6%
h 2
 
5.7%
K 2
 
5.7%
R 2
 
5.7%
A 2
 
5.7%
P 2
 
5.7%
p 1
 
2.9%
Other values (4) 4
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9268
66.1%
ASCII 4747
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2238
47.1%
1 460
 
9.7%
2 271
 
5.7%
- 248
 
5.2%
6 207
 
4.4%
3 206
 
4.3%
5 191
 
4.0%
4 190
 
4.0%
7 186
 
3.9%
0 178
 
3.7%
Other values (19) 372
 
7.8%
Hangul
ValueCountFrequency (%)
지 690
 
7.4%
시 657
 
7.1%
도 611
 
6.6%
기 587
 
6.3%
경 574
 
6.2%
번 566
 
6.1%
동 550
 
5.9%
구 227
 
2.4%
양 195
 
2.1%
주 153
 
1.7%
Other values (297) 4458
48.1%

소재지도로명주소
Text

Distinct565
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-13T08:12:03.077955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length19.898246
Min length13

Characters and Unicode

Total characters11342
Distinct characters301
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)98.2%

Sample

1st row경기도 가평군 조종면 조종희망로26번길 25
2nd row경기도 가평군 청평면 갈오현로 21
3rd row경기도 가평군 가평읍 석봉로191번길 19
4th row경기도 고양시 덕양구 오금로 7
5th row경기도 고양시 덕양구 혜음로 19-11
ValueCountFrequency (%)
경기도 569
 
21.6%
시흥시 49
 
1.9%
고양시 48
 
1.8%
남양주시 47
 
1.8%
파주시 41
 
1.6%
성남시 40
 
1.5%
덕양구 33
 
1.3%
부천시 32
 
1.2%
광주시 31
 
1.2%
화성시 25
 
0.9%
Other values (927) 1722
65.3%
2024-03-13T08:12:03.415681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2067
 
18.2%
시 627
 
5.5%
도 595
 
5.2%
기 594
 
5.2%
경 593
 
5.2%
로 516
 
4.5%
1 422
 
3.7%
2 291
 
2.6%
길 237
 
2.1%
구 215
 
1.9%
Other values (291) 5185
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7116
62.7%
Space Separator 2067
 
18.2%
Decimal Number 2005
 
17.7%
Dash Punctuation 101
 
0.9%
Other Punctuation 33
 
0.3%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 627
 
8.8%
도 595
 
8.4%
기 594
 
8.3%
경 593
 
8.3%
로 516
 
7.3%
길 237
 
3.3%
구 215
 
3.0%
양 180
 
2.5%
번 160
 
2.2%
주 136
 
1.9%
Other values (273) 3263
45.9%
Decimal Number
ValueCountFrequency (%)
1 422
21.0%
2 291
14.5%
4 208
10.4%
3 190
9.5%
5 180
9.0%
0 164
 
8.2%
7 155
 
7.7%
6 150
 
7.5%
9 125
 
6.2%
8 120
 
6.0%
Other Punctuation
ValueCountFrequency (%)
? 25
75.8%
, 8
 
24.2%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
2067
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7116
62.7%
Common 4224
37.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 627
 
8.8%
도 595
 
8.4%
기 594
 
8.3%
경 593
 
8.3%
로 516
 
7.3%
길 237
 
3.3%
구 215
 
3.0%
양 180
 
2.5%
번 160
 
2.2%
주 136
 
1.9%
Other values (273) 3263
45.9%
Common
ValueCountFrequency (%)
2067
48.9%
1 422
 
10.0%
2 291
 
6.9%
4 208
 
4.9%
3 190
 
4.5%
5 180
 
4.3%
0 164
 
3.9%
7 155
 
3.7%
6 150
 
3.6%
9 125
 
3.0%
Other values (6) 272
 
6.4%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7116
62.7%
ASCII 4226
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2067
48.9%
1 422
 
10.0%
2 291
 
6.9%
4 208
 
4.9%
3 190
 
4.5%
5 180
 
4.3%
0 164
 
3.9%
7 155
 
3.7%
6 150
 
3.5%
9 125
 
3.0%
Other values (8) 274
 
6.5%
Hangul
ValueCountFrequency (%)
시 627
 
8.8%
도 595
 
8.4%
기 594
 
8.3%
경 593
 
8.3%
로 516
 
7.3%
길 237
 
3.3%
구 215
 
3.0%
양 180
 
2.5%
번 160
 
2.2%
주 136
 
1.9%
Other values (273) 3263
45.9%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct484
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14079.581
Minimum10019
Maximum18616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:03.525099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10401.65
Q112065.75
median14019
Q316044.75
95-th percentile18146.65
Maximum18616
Range8597
Interquartile range (IQR)3979

Descriptive statistics

Standard deviation2517.3676
Coefficient of variation (CV)0.17879564
Kurtosis-1.139691
Mean14079.581
Median Absolute Deviation (MAD)1991.5
Skewness0.13404256
Sum8025361
Variance6337139.8
MonotonicityNot monotonic
2024-03-13T08:12:03.626611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15010 6
 
1.1%
10865 5
 
0.9%
16016 4
 
0.7%
14922 4
 
0.7%
12284 4
 
0.7%
10888 3
 
0.5%
10869 3
 
0.5%
12912 3
 
0.5%
17562 3
 
0.5%
12285 3
 
0.5%
Other values (474) 532
93.3%
ValueCountFrequency (%)
10019 1
0.2%
10049 1
0.2%
10056 1
0.2%
10063 1
0.2%
10070 1
0.2%
10071 1
0.2%
10086 1
0.2%
10099 1
0.2%
10101 1
0.2%
10110 1
0.2%
ValueCountFrequency (%)
18616 1
0.2%
18615 1
0.2%
18609 1
0.2%
18598 1
0.2%
18588 1
0.2%
18506 1
0.2%
18503 1
0.2%
18501 1
0.2%
18497 1
0.2%
18485 1
0.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct569
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.443164
Minimum36.955549
Maximum37.956325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:03.730772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.955549
5-th percentile37.043951
Q137.317326
median37.413123
Q337.6312
95-th percentile37.744839
Maximum37.956325
Range1.0007752
Interquartile range (IQR)0.31387457

Descriptive statistics

Standard deviation0.20800377
Coefficient of variation (CV)0.0055551868
Kurtosis-0.52919499
Mean37.443164
Median Absolute Deviation (MAD)0.14063763
Skewness-0.10287702
Sum21342.603
Variance0.043265567
MonotonicityNot monotonic
2024-03-13T08:12:03.865735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.73862869 2
 
0.4%
37.81774108 1
 
0.2%
37.39300139 1
 
0.2%
37.36755489 1
 
0.2%
37.80143425 1
 
0.2%
37.81971257 1
 
0.2%
37.81708899 1
 
0.2%
37.84488588 1
 
0.2%
37.48069065 1
 
0.2%
37.41070856 1
 
0.2%
Other values (559) 559
98.1%
ValueCountFrequency (%)
36.95554937 1
0.2%
36.95777229 1
0.2%
36.98023992 1
0.2%
36.98641453 1
0.2%
36.99058285 1
0.2%
36.99176849 1
0.2%
36.9924086 1
0.2%
36.9927913 1
0.2%
36.99426602 1
0.2%
36.99479115 1
0.2%
ValueCountFrequency (%)
37.95632461 1
0.2%
37.90463712 1
0.2%
37.8916686 1
0.2%
37.88983123 1
0.2%
37.86683865 1
0.2%
37.85669116 1
0.2%
37.84488588 1
0.2%
37.83199474 1
0.2%
37.8316994 1
0.2%
37.8271469 1
0.2%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct569
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99822
Minimum126.58144
Maximum127.65501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:03.981005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58144
5-th percentile126.72827
Q1126.81572
median126.9902
Q3127.14465
95-th percentile127.32854
Maximum127.65501
Range1.073571
Interquartile range (IQR)0.32893173

Descriptive statistics

Standard deviation0.20240442
Coefficient of variation (CV)0.0015937579
Kurtosis-0.2042763
Mean126.99822
Median Absolute Deviation (MAD)0.16531685
Skewness0.4289852
Sum72388.987
Variance0.040967551
MonotonicityNot monotonic
2024-03-13T08:12:04.088631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7326583 2
 
0.4%
127.0579709 1
 
0.2%
126.9141213 1
 
0.2%
126.9587875 1
 
0.2%
127.0906455 1
 
0.2%
127.0962213 1
 
0.2%
127.0877528 1
 
0.2%
127.0666506 1
 
0.2%
127.4786211 1
 
0.2%
126.9724071 1
 
0.2%
Other values (559) 559
98.1%
ValueCountFrequency (%)
126.5814397 1
0.2%
126.5922038 1
0.2%
126.5937525 1
0.2%
126.6209731 1
0.2%
126.6238652 1
0.2%
126.6298315 1
0.2%
126.6309193 1
0.2%
126.6580811 1
0.2%
126.6997647 1
0.2%
126.7044366 1
0.2%
ValueCountFrequency (%)
127.6550107 1
0.2%
127.6494859 1
0.2%
127.6395202 1
0.2%
127.6353549 1
0.2%
127.5078298 1
0.2%
127.5076878 1
0.2%
127.5023946 1
0.2%
127.4945372 1
0.2%
127.4881747 1
0.2%
127.4850803 1
0.2%

연락처
Text

Distinct566
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-13T08:12:04.273425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021053
Min length11

Characters and Unicode

Total characters6852
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

Unique563 ?
Unique (%)98.8%

Sample

1st row031-585-1105
2nd row031-584-5844
3rd row031-581-1478
4th row02-371-2369
5th row031-964-5542
ValueCountFrequency (%)
031-000-0000 3
 
0.5%
000-0000-0000 2
 
0.4%
000-000-0000 2
 
0.4%
031-535-1020 1
 
0.2%
031-865-0661 1
 
0.2%
031-429-8098 1
 
0.2%
031-771-3382 1
 
0.2%
031-775-7370 1
 
0.2%
031-774-6060 1
 
0.2%
031-859-5990 1
 
0.2%
Other values (556) 556
97.5%
2024-03-13T08:12:04.574574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1140
16.6%
0 1049
15.3%
3 929
13.6%
1 914
13.3%
2 475
6.9%
7 439
 
6.4%
5 435
 
6.3%
6 381
 
5.6%
4 379
 
5.5%
9 369
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5712
83.4%
Dash Punctuation 1140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1049
18.4%
3 929
16.3%
1 914
16.0%
2 475
8.3%
7 439
7.7%
5 435
7.6%
6 381
 
6.7%
4 379
 
6.6%
9 369
 
6.5%
8 342
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1140
16.6%
0 1049
15.3%
3 929
13.6%
1 914
13.3%
2 475
6.9%
7 439
 
6.4%
5 435
 
6.3%
6 381
 
5.6%
4 379
 
5.5%
9 369
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1140
16.6%
0 1049
15.3%
3 929
13.6%
1 914
13.3%
2 475
6.9%
7 439
 
6.4%
5 435
 
6.3%
6 381
 
5.6%
4 379
 
5.5%
9 369
 
5.4%

홈페이지URL
Text

Distinct88
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-13T08:12:04.734443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length4
Mean length7.2438596
Min length4

Characters and Unicode

Total characters4129
Distinct characters76
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)15.1%

Sample

1st rowwww.
2nd rowwww.
3rd rowhttp://hsbchildcare.kr/
4th rowwww.
5th rowwww.
ValueCountFrequency (%)
www 485
85.1%
cafe.daum.net/neulheemang 1
 
0.2%
https://cafe.naver.com/kyang0314256824 1
 
0.2%
https://cafe.naver.com/sekyohappychild 1
 
0.2%
bodmi.kr 1
 
0.2%
www.rodemchild.or.kr 1
 
0.2%
hyubshim.co.kr 1
 
0.2%
cafe.daum.net/hanarelove 1
 
0.2%
http://cafe.daum.net/eeromchild 1
 
0.2%
http://sckids.happyihome.com 1
 
0.2%
Other values (76) 76
 
13.3%
2024-03-13T08:12:05.008186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 1490
36.1%
. 670
16.2%
e 148
 
3.6%
a 140
 
3.4%
/ 131
 
3.2%
o 125
 
3.0%
c 122
 
3.0%
t 111
 
2.7%
n 106
 
2.6%
m 98
 
2.4%
Other values (66) 988
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3095
75.0%
Other Punctuation 837
 
20.3%
Decimal Number 97
 
2.3%
Uppercase Letter 65
 
1.6%
Other Letter 22
 
0.5%
Connector Punctuation 6
 
0.1%
Math Symbol 5
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 1490
48.1%
e 148
 
4.8%
a 140
 
4.5%
o 125
 
4.0%
c 122
 
3.9%
t 111
 
3.6%
n 106
 
3.4%
m 98
 
3.2%
h 81
 
2.6%
r 80
 
2.6%
Other values (16) 594
 
19.2%
Uppercase Letter
ValueCountFrequency (%)
W 44
67.7%
N 4
 
6.2%
O 2
 
3.1%
X 2
 
3.1%
Y 2
 
3.1%
E 1
 
1.5%
D 1
 
1.5%
Z 1
 
1.5%
Q 1
 
1.5%
H 1
 
1.5%
Other values (6) 6
 
9.2%
Other Letter
ValueCountFrequency (%)
집 2
 
9.1%
이 2
 
9.1%
린 2
 
9.1%
어 2
 
9.1%
립 2
 
9.1%
시 2
 
9.1%
팽 1
 
4.5%
성 1
 
4.5%
남 1
 
4.5%
솜 1
 
4.5%
Other values (6) 6
27.3%
Decimal Number
ValueCountFrequency (%)
2 20
20.6%
0 14
14.4%
1 12
12.4%
4 11
11.3%
5 9
9.3%
3 8
 
8.2%
6 7
 
7.2%
9 6
 
6.2%
8 5
 
5.2%
7 5
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 670
80.0%
/ 131
 
15.7%
: 32
 
3.8%
? 3
 
0.4%
, 1
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3160
76.5%
Common 947
 
22.9%
Hangul 22
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 1490
47.2%
e 148
 
4.7%
a 140
 
4.4%
o 125
 
4.0%
c 122
 
3.9%
t 111
 
3.5%
n 106
 
3.4%
m 98
 
3.1%
h 81
 
2.6%
r 80
 
2.5%
Other values (32) 659
20.9%
Common
ValueCountFrequency (%)
. 670
70.7%
/ 131
 
13.8%
: 32
 
3.4%
2 20
 
2.1%
0 14
 
1.5%
1 12
 
1.3%
4 11
 
1.2%
5 9
 
1.0%
3 8
 
0.8%
6 7
 
0.7%
Other values (8) 33
 
3.5%
Hangul
ValueCountFrequency (%)
집 2
 
9.1%
이 2
 
9.1%
린 2
 
9.1%
어 2
 
9.1%
립 2
 
9.1%
시 2
 
9.1%
팽 1
 
4.5%
성 1
 
4.5%
남 1
 
4.5%
솜 1
 
4.5%
Other values (6) 6
27.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4107
99.5%
Hangul 22
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 1490
36.3%
. 670
16.3%
e 148
 
3.6%
a 140
 
3.4%
/ 131
 
3.2%
o 125
 
3.0%
c 122
 
3.0%
t 111
 
2.7%
n 106
 
2.6%
m 98
 
2.4%
Other values (50) 966
23.5%
Hangul
ValueCountFrequency (%)
집 2
 
9.1%
이 2
 
9.1%
린 2
 
9.1%
어 2
 
9.1%
립 2
 
9.1%
시 2
 
9.1%
팽 1
 
4.5%
성 1
 
4.5%
남 1
 
4.5%
솜 1
 
4.5%
Other values (6) 6
27.3%

총정원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct139
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.112281
Minimum19
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:05.119148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile34.45
Q162
median78
Q398
95-th percentile153.1
Maximum258
Range239
Interquartile range (IQR)36

Descriptive statistics

Standard deviation37.14345
Coefficient of variation (CV)0.44159366
Kurtosis1.817068
Mean84.112281
Median Absolute Deviation (MAD)18
Skewness1.1248513
Sum47944
Variance1379.6359
MonotonicityNot monotonic
2024-03-13T08:12:05.217439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 25
 
4.4%
80 24
 
4.2%
99 20
 
3.5%
85 15
 
2.6%
49 13
 
2.3%
79 13
 
2.3%
75 12
 
2.1%
88 12
 
2.1%
72 12
 
2.1%
68 12
 
2.1%
Other values (129) 412
72.3%
ValueCountFrequency (%)
19 3
0.5%
20 1
 
0.2%
21 3
0.5%
24 1
 
0.2%
25 1
 
0.2%
26 2
0.4%
27 2
0.4%
28 3
0.5%
29 1
 
0.2%
30 4
0.7%
ValueCountFrequency (%)
258 1
0.2%
222 1
0.2%
220 1
0.2%
219 1
0.2%
215 1
0.2%
204 1
0.2%
199 1
0.2%
195 2
0.4%
194 1
0.2%
185 1
0.2%

총현원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct139
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.798246
Minimum0
Maximum221
Zeros10
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:05.321536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q147.25
median66
Q384
95-th percentile128.55
Maximum221
Range221
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation33.467866
Coefficient of variation (CV)0.48646395
Kurtosis1.7729863
Mean68.798246
Median Absolute Deviation (MAD)18.5
Skewness0.85529866
Sum39215
Variance1120.0981
MonotonicityNot monotonic
2024-03-13T08:12:05.421625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 17
 
3.0%
62 12
 
2.1%
61 12
 
2.1%
80 11
 
1.9%
50 11
 
1.9%
64 11
 
1.9%
65 10
 
1.8%
0 10
 
1.8%
66 10
 
1.8%
49 10
 
1.8%
Other values (129) 456
80.0%
ValueCountFrequency (%)
0 10
1.8%
4 1
 
0.2%
6 1
 
0.2%
9 1
 
0.2%
12 1
 
0.2%
14 1
 
0.2%
16 1
 
0.2%
17 1
 
0.2%
18 1
 
0.2%
19 6
1.1%
ValueCountFrequency (%)
221 1
0.2%
213 1
0.2%
195 1
0.2%
184 1
0.2%
181 1
0.2%
180 1
0.2%
163 1
0.2%
162 1
0.2%
159 1
0.2%
155 1
0.2%

장애아정원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6912281
Minimum0
Maximum60
Zeros89
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:05.506706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q36
95-th percentile15
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.865985
Coefficient of variation (CV)1.2064154
Kurtosis18.143252
Mean5.6912281
Median Absolute Deviation (MAD)3
Skewness3.6814352
Sum3244
Variance47.141751
MonotonicityNot monotonic
2024-03-13T08:12:05.588276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 235
41.2%
6 115
20.2%
0 89
 
15.6%
9 75
 
13.2%
12 18
 
3.2%
15 7
 
1.2%
21 6
 
1.1%
18 5
 
0.9%
36 4
 
0.7%
39 3
 
0.5%
Other values (10) 13
 
2.3%
ValueCountFrequency (%)
0 89
 
15.6%
2 2
 
0.4%
3 235
41.2%
5 1
 
0.2%
6 115
20.2%
9 75
 
13.2%
12 18
 
3.2%
15 7
 
1.2%
18 5
 
0.9%
21 6
 
1.1%
ValueCountFrequency (%)
60 1
 
0.2%
54 1
 
0.2%
42 1
 
0.2%
39 3
0.5%
37 1
 
0.2%
36 4
0.7%
33 1
 
0.2%
30 3
0.5%
27 1
 
0.2%
24 1
 
0.2%

장애아현원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3070175
Minimum0
Maximum58
Zeros89
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:05.694617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q36
95-th percentile14.55
Maximum58
Range58
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.6294428
Coefficient of variation (CV)1.2491843
Kurtosis18.921048
Mean5.3070175
Median Absolute Deviation (MAD)3
Skewness3.7701197
Sum3025
Variance43.949511
MonotonicityNot monotonic
2024-03-13T08:12:05.785842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 190
33.3%
0 89
15.6%
6 75
 
13.2%
9 51
 
8.9%
2 48
 
8.4%
5 26
 
4.6%
4 16
 
2.8%
8 12
 
2.1%
12 11
 
1.9%
10 6
 
1.1%
Other values (24) 46
 
8.1%
ValueCountFrequency (%)
0 89
15.6%
1 4
 
0.7%
2 48
 
8.4%
3 190
33.3%
4 16
 
2.8%
5 26
 
4.6%
6 75
 
13.2%
7 3
 
0.5%
8 12
 
2.1%
9 51
 
8.9%
ValueCountFrequency (%)
58 1
0.2%
53 1
0.2%
40 1
0.2%
39 2
0.4%
38 1
0.2%
36 2
0.4%
35 1
0.2%
33 1
0.2%
31 2
0.4%
30 1
0.2%

총교직원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.194737
Minimum0
Maximum47
Zeros8
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:05.897863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median16
Q321
95-th percentile30
Maximum47
Range47
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.0814225
Coefficient of variation (CV)0.41183663
Kurtosis1.5447357
Mean17.194737
Median Absolute Deviation (MAD)4
Skewness0.77664195
Sum9801
Variance50.146545
MonotonicityNot monotonic
2024-03-13T08:12:06.019251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
14 49
 
8.6%
15 45
 
7.9%
16 43
 
7.5%
13 35
 
6.1%
17 34
 
6.0%
18 32
 
5.6%
19 32
 
5.6%
12 31
 
5.4%
10 28
 
4.9%
9 22
 
3.9%
Other values (32) 219
38.4%
ValueCountFrequency (%)
0 8
 
1.4%
1 2
 
0.4%
2 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
6 7
 
1.2%
7 2
 
0.4%
8 9
 
1.6%
9 22
3.9%
10 28
4.9%
ValueCountFrequency (%)
47 1
 
0.2%
42 2
0.4%
41 3
0.5%
40 1
 
0.2%
39 1
 
0.2%
37 2
0.4%
36 1
 
0.2%
35 3
0.5%
34 4
0.7%
33 2
0.4%

CCTV설치대수(대)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct46
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.884211
Minimum0
Maximum58
Zeros11
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-13T08:12:06.321353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile32
Maximum58
Range58
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.0647309
Coefficient of variation (CV)0.57067557
Kurtosis3.0899618
Mean15.884211
Median Absolute Deviation (MAD)5
Skewness1.4310939
Sum9054
Variance82.169346
MonotonicityNot monotonic
2024-03-13T08:12:06.419120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
16 84
 
14.7%
8 59
 
10.4%
10 36
 
6.3%
12 31
 
5.4%
13 28
 
4.9%
15 28
 
4.9%
11 24
 
4.2%
9 23
 
4.0%
14 19
 
3.3%
7 18
 
3.2%
Other values (36) 220
38.6%
ValueCountFrequency (%)
0 11
 
1.9%
3 2
 
0.4%
4 7
 
1.2%
5 10
 
1.8%
6 10
 
1.8%
7 18
 
3.2%
8 59
10.4%
9 23
 
4.0%
10 36
6.3%
11 24
4.2%
ValueCountFrequency (%)
58 1
 
0.2%
56 1
 
0.2%
55 1
 
0.2%
51 2
0.4%
48 4
0.7%
47 1
 
0.2%
42 1
 
0.2%
41 1
 
0.2%
40 2
0.4%
39 1
 
0.2%

Interactions

2024-03-13T08:12:00.347305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.259238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.836619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.651416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.265965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.859894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.461194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.095357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.758402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.411988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.322529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.904670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.717397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.335971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.921762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.528546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.176779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.818845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.483694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.387753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.968975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.787157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.408798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.985551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.596882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.242102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.891851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.555433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.450865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.034660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.851733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.474356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.051718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.665174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.308035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.961843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.630239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.516977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.106886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.914040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.534083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.128452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.736640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.375677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.025097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.697263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.577072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.178257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.978102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.596334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.191270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.800062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.451520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.086606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.778478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.645279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.244302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.047150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.662523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.265178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.867172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.532353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.150334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.850539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.710095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.514289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.116301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.733955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.333809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.935233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.607184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.219410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.913102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:55.769624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:56.577948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.179928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:57.794658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:58.396391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.007435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:59.686779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:12:00.282174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:12:06.500718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명어린이집분류명시설분류명소재지우편번호WGS84위도WGS84경도홈페이지URL총정원수(명)총현원수(명)장애아정원수(명)장애아현원수(명)총교직원수(명)CCTV설치대수(대)
시군명1.0000.2030.2750.9980.9740.9750.0000.4440.4970.5010.5650.4890.526
어린이집분류명0.2031.0000.3150.0000.1940.0000.6170.3490.2540.8760.9930.2740.000
시설분류명0.2750.3151.0000.1640.1440.0000.7230.1650.2070.3270.2770.2160.219
소재지우편번호0.9980.0000.1641.0000.9100.8670.2920.3020.3690.0700.1380.2970.345
WGS84위도0.9740.1940.1440.9101.0000.6460.2000.1680.3060.2990.3320.3890.379
WGS84경도0.9750.0000.0000.8670.6461.0000.0000.1620.0380.0650.2040.0000.261
홈페이지URL0.0000.6170.7230.2920.2000.0001.0000.0000.0000.3980.6550.0000.000
총정원수(명)0.4440.3490.1650.3020.1680.1620.0001.0000.9190.3880.4040.8470.791
총현원수(명)0.4970.2540.2070.3690.3060.0380.0000.9191.0000.3930.3840.9150.790
장애아정원수(명)0.5010.8760.3270.0700.2990.0650.3980.3880.3931.0000.9500.5590.331
장애아현원수(명)0.5650.9930.2770.1380.3320.2040.6550.4040.3840.9501.0000.5750.284
총교직원수(명)0.4890.2740.2160.2970.3890.0000.0000.8470.9150.5590.5751.0000.761
CCTV설치대수(대)0.5260.0000.2190.3450.3790.2610.0000.7910.7900.3310.2840.7611.000
2024-03-13T08:12:06.610115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이집분류명시군명시설분류명
어린이집분류명1.0000.1570.335
시군명0.1571.0000.116
시설분류명0.3350.1161.000
2024-03-13T08:12:06.685101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도총정원수(명)총현원수(명)장애아정원수(명)장애아현원수(명)총교직원수(명)CCTV설치대수(대)시군명어린이집분류명시설분류명
소재지우편번호1.000-0.9090.1690.0950.1120.0840.1180.0650.1170.9040.0000.082
WGS84위도-0.9091.000-0.237-0.128-0.143-0.072-0.106-0.103-0.1580.7410.1480.073
WGS84경도0.169-0.2371.0000.027-0.032-0.012-0.024-0.0230.0280.7460.0000.000
총정원수(명)0.095-0.1280.0271.0000.8680.3120.3050.7440.6300.1530.2660.083
총현원수(명)0.112-0.143-0.0320.8681.0000.3560.3560.8320.6550.1770.1940.105
장애아정원수(명)0.084-0.072-0.0120.3120.3561.0000.9590.5470.3180.2520.9220.166
장애아현원수(명)0.118-0.106-0.0240.3050.3560.9591.0000.5560.3000.2570.9250.162
총교직원수(명)0.065-0.103-0.0230.7440.8320.5470.5561.0000.6550.1730.2090.110
CCTV설치대수(대)0.117-0.1580.0280.6300.6550.3180.3000.6551.0000.1920.0000.111
시군명0.9040.7410.7460.1530.1770.2520.2570.1730.1921.0000.1570.116
어린이집분류명0.0000.1480.0000.2660.1940.9220.9250.2090.0000.1571.0000.335
시설분류명0.0820.0730.0000.0830.1050.1660.1620.1100.1110.1160.3351.000

Missing values

2024-03-13T08:12:01.219135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:12:01.387177image/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

시군명어린이집분류명기관명시설분류명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도연락처홈페이지URL총정원수(명)총현원수(명)장애아정원수(명)장애아현원수(명)총교직원수(명)CCTV설치대수(대)
0가평군통합어린이집조종하나어린이집국공립어린이집경기도 가평군 조종면 현리 567-25번지경기도 가평군 조종면 조종희망로26번길 251243737.81877127.353523031-585-1105www.622932929
1가평군통합어린이집청평새나래어린이집국공립어린이집경기도 가평군 청평면 청평리 483-23번지경기도 가평군 청평면 갈오현로 211245137.738685127.41601031-584-5844www.494032913
2가평군통합어린이집한석봉어린이집국공립어린이집경기도 가평군 가평읍 읍내리 574-2번지경기도 가평군 가평읍 석봉로191번길 191241737.831699127.50783031-581-1478http://hsbchildcare.kr/7069321125
3고양시통합어린이집고양시립개나리어린이집국공립어린이집경기도 고양시 덕양구 신원동 613번지 신원마을엘에이치3단지경기도 고양시 덕양구 오금로 71057937.664517126.89258202-371-2369www.8050651812
4고양시통합어린이집고양시립고양어린이집국공립어린이집경기도 고양시 덕양구 고양동 233-2번지경기도 고양시 덕양구 혜음로 19-111027537.702461126.901053031-964-5542www.706712121919
5고양시통합어린이집고양시립관산어린이집국공립어린이집경기도 고양시 덕양구 관산동 115-4번지경기도 고양시 덕양구 통일로742번길 281028537.688572126.868421031-962-2155www.453197148
6고양시통합어린이집고양시립꽃구름어린이집국공립어린이집경기도 고양시 덕양구 지축동 951번지 지축나인포레경기도 고양시 덕양구 오부자로 991058337.653241126.92112802-381-5788www.130128322829
7고양시통합어린이집고양시립꽃피움어린이집국공립어린이집경기도 고양시 덕양구 지축동 968번지경기도 고양시 덕양구 오부자로 1201058437.650267126.92007802-6212-2410www.9489321916
8고양시통합어린이집고양시립꿈나무어린이집국공립어린이집경기도 고양시 덕양구 도내동 1006번지 원흥호반베르디움더퍼스트경기도 고양시 덕양구 도래울로 171055137.628222126.865845031-968-1700www.7472331719
9고양시통합어린이집고양시립꿈모아어린이집국공립어린이집경기도 고양시 일산서구 대화동 2603번지 킨텍스꿈에그린경기도 고양시 일산서구 킨텍스로 2401039137.665843126.750891031-911-0501www.6565641820
시군명어린이집분류명기관명시설분류명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도연락처홈페이지URL총정원수(명)총현원수(명)장애아정원수(명)장애아현원수(명)총교직원수(명)CCTV설치대수(대)
560화성시통합어린이집시립수노을어린이집국공립어린이집경기도 화성시 새솔동 98번지경기도 화성시 수노을중앙로 1781824237.2812126.818777031-357-1543www.7069661616
561화성시통합어린이집시립숲속어린이집국공립어린이집경기도 화성시 능동 1118번지경기도 화성시 동탄숲속로 69-301843137.209358127.056617031-8015-0170www.131123992828
562화성시통합어린이집시립영천어린이집국공립어린이집경기도 화성시 영천동 867번지경기도 화성시 동탄영천로 921846337.210828127.103967031-8055-7992www.9998992732
563화성시통합어린이집시립진안어린이집국공립어린이집경기도 화성시 진안동 857-2번지경기도 화성시 병점동로148번길 121839237.21669127.03836031-225-9605www.12589992214
564화성시통합어린이집시립하랑어린이집국공립어린이집경기도 화성시 남양읍 남양리 2312번지 시티프라디움1차아파트경기도 화성시 남양읍 시청로102번길 511827037.198183126.820481031-355-7065www.5352331213
565화성시통합어린이집시립향남공원어린이집국공립어린이집경기도 화성시 향남읍 상신리 1308번지경기도 화성시 향남읍 상신하길로 641861637.100207126.896916031-366-2335www.7065331824
566화성시통합어린이집시립향남어린이집국공립어린이집경기도 화성시 향남읍 행정리 437-4번지경기도 화성시 향남읍 행정서로3길 54-81859837.130364126.919043031-354-1441www.12594322342
567화성시통합어린이집시립호수공원어린이집국공립어린이집경기도 화성시 장지동 968번지 동탄호수공원아이파크경기도 화성시 동탄순환대로8길 141850637.165097127.108869031-8050-8904www.9176661820
568화성시통합어린이집시립힐스어린이집국공립어린이집경기도 화성시 목동 491번지 힐스테이트동탄경기도 화성시 동탄순환대로19길 591848537.185904127.120614031-373-3451www.6565331520
569화성시통합어린이집향남민들레어린이집민간어린이집경기도 화성시 향남읍 하길리 438-4번지경기도 화성시 향남읍 서봉로115번길 105-51860937.108669126.921506031-354-6621www.204150993517