Overview

Dataset statistics

Number of variables13
Number of observations392
Missing cells61
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.3 KiB
Average record size in memory105.3 B

Variable types

Categorical6
Text4
Boolean2
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,가입 보험명,대상여부,가입여부,업체명1,업체명2,업체명3,공시차수,주소
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20869/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
업체명3 is highly overall correlated with 공시차수 and 5 other fieldsHigh correlation
대상여부 is highly overall correlated with 가입여부 and 2 other fieldsHigh correlation
가입여부 is highly overall correlated with 대상여부 and 2 other fieldsHigh correlation
설립유형 is highly overall correlated with 업체명2 and 1 other fieldsHigh correlation
업체명2 is highly overall correlated with 공시차수 and 4 other fieldsHigh correlation
가입 보험명 is highly overall correlated with 업체명3High correlation
공시차수 is highly overall correlated with 업체명2 and 1 other fieldsHigh correlation
업체명2 is highly imbalanced (88.9%)Imbalance
업체명3 is highly imbalanced (91.8%)Imbalance
업체명1 has 61 (15.6%) missing valuesMissing

Reproduction

Analysis started2024-03-13 09:47:51.606489
Analysis finished2024-03-13 09:47:52.876466
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
서울특별시교육청
392 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 392
100.0%

Length

2024-03-13T18:47:52.928931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:47:53.009601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 392
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
강서양천교육지원청
392 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 392
100.0%

Length

2024-03-13T18:47:53.090459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:47:53.178271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 392
100.0%

유치원코드
Text

Distinct61
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-13T18:47:53.426173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters14112
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1ecec08c-ed82-b044-e053-0a32095ab044
2nd row1ecec08c-ed82-b044-e053-0a32095ab044
3rd row1ecec08c-ed82-b044-e053-0a32095ab044
4th row1ecec08c-ed82-b044-e053-0a32095ab044
5th row1ecec08c-ed82-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ef9c-b044-e053-0a32095ab044 12
 
3.1%
8114e0a3-e56e-47e5-a5d6-c2eef91cbed7 9
 
2.3%
1ecec08c-eec7-b044-e053-0a32095ab044 9
 
2.3%
1ecec08d-0f76-b044-e053-0a32095ab044 9
 
2.3%
1ecec08c-f7f7-b044-e053-0a32095ab044 8
 
2.0%
1ecec08d-0b2b-b044-e053-0a32095ab044 8
 
2.0%
1ecec08d-0f78-b044-e053-0a32095ab044 8
 
2.0%
1ecec08d-05b7-b044-e053-0a32095ab044 7
 
1.8%
1ecec08c-eec6-b044-e053-0a32095ab044 7
 
1.8%
49466743-6302-46e6-beb6-71a05883b7fd 7
 
1.8%
Other values (51) 308
78.6%
2024-03-13T18:47:53.771037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2093
14.8%
- 1568
11.1%
4 1402
9.9%
e 1145
 
8.1%
c 997
 
7.1%
5 883
 
6.3%
a 879
 
6.2%
b 860
 
6.1%
3 836
 
5.9%
8 558
 
4.0%
Other values (7) 2891
20.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7864
55.7%
Lowercase Letter 4680
33.2%
Dash Punctuation 1568
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2093
26.6%
4 1402
17.8%
5 883
11.2%
3 836
 
10.6%
8 558
 
7.1%
9 554
 
7.0%
1 520
 
6.6%
2 498
 
6.3%
7 286
 
3.6%
6 234
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 1145
24.5%
c 997
21.3%
a 879
18.8%
b 860
18.4%
d 401
 
8.6%
f 398
 
8.5%
Dash Punctuation
ValueCountFrequency (%)
- 1568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9432
66.8%
Latin 4680
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2093
22.2%
- 1568
16.6%
4 1402
14.9%
5 883
9.4%
3 836
 
8.9%
8 558
 
5.9%
9 554
 
5.9%
1 520
 
5.5%
2 498
 
5.3%
7 286
 
3.0%
Latin
ValueCountFrequency (%)
e 1145
24.5%
c 997
21.3%
a 879
18.8%
b 860
18.4%
d 401
 
8.6%
f 398
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2093
14.8%
- 1568
11.1%
4 1402
9.9%
e 1145
 
8.1%
c 997
 
7.1%
5 883
 
6.3%
a 879
 
6.2%
b 860
 
6.1%
3 836
 
5.9%
8 558
 
4.0%
Other values (7) 2891
20.5%

유치원명
Text

Distinct61
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-13T18:47:53.997293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.3214286
Min length5

Characters and Unicode

Total characters2870
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울공항초등학교병설유치원
2nd row서울공항초등학교병설유치원
3rd row서울공항초등학교병설유치원
4th row서울공항초등학교병설유치원
5th row서울공항초등학교병설유치원
ValueCountFrequency (%)
선미유치원 12
 
3.1%
서울탑산초등학교병설유치원 9
 
2.3%
화곡유치원 9
 
2.3%
예일유치원 9
 
2.3%
우리곰유치원 8
 
2.0%
윤서유치원 8
 
2.0%
우현유치원 8
 
2.0%
국제유치원 7
 
1.8%
한나유치원 7
 
1.8%
서울수명유치원 7
 
1.8%
Other values (51) 308
78.6%
2024-03-13T18:47:54.326388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 404
14.1%
원 398
13.9%
치 392
13.7%
서 132
 
4.6%
등 123
 
4.3%
울 112
 
3.9%
초 93
 
3.2%
병 93
 
3.2%
설 93
 
3.2%
학 93
 
3.2%
Other values (73) 937
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2870
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 404
14.1%
원 398
13.9%
치 392
13.7%
서 132
 
4.6%
등 123
 
4.3%
울 112
 
3.9%
초 93
 
3.2%
병 93
 
3.2%
설 93
 
3.2%
학 93
 
3.2%
Other values (73) 937
32.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2870
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 404
14.1%
원 398
13.9%
치 392
13.7%
서 132
 
4.6%
등 123
 
4.3%
울 112
 
3.9%
초 93
 
3.2%
병 93
 
3.2%
설 93
 
3.2%
학 93
 
3.2%
Other values (73) 937
32.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2870
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 404
14.1%
원 398
13.9%
치 392
13.7%
서 132
 
4.6%
등 123
 
4.3%
울 112
 
3.9%
초 93
 
3.2%
병 93
 
3.2%
설 93
 
3.2%
학 93
 
3.2%
Other values (73) 937
32.6%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
사립(사인)
247 
공립(병설)
93 
사립(법인)
33 
공립(단설)
 
19

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립(병설)
2nd row공립(병설)
3rd row공립(병설)
4th row공립(병설)
5th row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 247
63.0%
공립(병설) 93
 
23.7%
사립(법인) 33
 
8.4%
공립(단설) 19
 
4.8%

Length

2024-03-13T18:47:54.442858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:47:54.547373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 247
63.0%
공립(병설 93
 
23.7%
사립(법인 33
 
8.4%
공립(단설 19
 
4.8%

가입 보험명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
통학버스 책임보험
61 
놀이시설 안전보험
61 
영유아생명신체피해(상해보험)
61 
통학버스 종합보험
61 
가스배상책임보험
61 
Other values (18)
87 

Length

Max length15
Median length13
Mean length8.9285714
Min length3

Unique

Unique10 ?
Unique (%)2.6%

Sample

1st row통학버스 책임보험
2nd row가스배상책임보험
3rd row화재보험
4th row놀이시설 안전보험
5th row영유아생명신체피해(상해보험)

Common Values

ValueCountFrequency (%)
통학버스 책임보험 61
15.6%
놀이시설 안전보험 61
15.6%
영유아생명신체피해(상해보험) 61
15.6%
통학버스 종합보험 61
15.6%
가스배상책임보험 61
15.6%
화재보험 61
15.6%
승강기사고배상책임보험 3
 
0.8%
유아교육기관종합보험 3
 
0.8%
기타1 2
 
0.5%
영업배상책임보험 2
 
0.5%
Other values (13) 16
 
4.1%

Length

2024-03-13T18:47:54.669535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통학버스 122
21.0%
놀이시설 61
10.5%
안전보험 61
10.5%
영유아생명신체피해(상해보험 61
10.5%
종합보험 61
10.5%
가스배상책임보험 61
10.5%
화재보험 61
10.5%
책임보험 61
10.5%
승강기사고배상책임보험 3
 
0.5%
유아교육기관종합보험 3
 
0.5%
Other values (19) 26
 
4.5%

대상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
True
332 
False
60 
ValueCountFrequency (%)
True 332
84.7%
False 60
 
15.3%
2024-03-13T18:47:54.762539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가입여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
True
331 
False
61 
ValueCountFrequency (%)
True 331
84.4%
False 61
 
15.6%
2024-03-13T18:47:54.866744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

업체명1
Text

MISSING 

Distinct58
Distinct (%)17.5%
Missing61
Missing (%)15.6%
Memory size3.2 KiB
2024-03-13T18:47:55.059781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.5287009
Min length4

Characters and Unicode

Total characters2492
Distinct characters91
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)6.6%

Sample

1st row삼성화재
2nd row한국교육시설안전원
3rd row한국안전공제중앙회
4th row학교안전공제회
5th row현대해상화재보험
ValueCountFrequency (%)
학교안전공제회 69
20.5%
한국교육시설안전원 47
14.0%
삼성화재 37
11.0%
현대해상 33
9.8%
현대해상화재보험 23
 
6.8%
전국전세버스운송사업조합연합회공제조합 12
 
3.6%
db손해보험 11
 
3.3%
학교배상책임공제 8
 
2.4%
메리츠화재 8
 
2.4%
kb손해보험 7
 
2.1%
Other values (45) 81
24.1%
2024-03-13T18:47:55.426879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 165
 
6.6%
교 144
 
5.8%
안 126
 
5.1%
공 109
 
4.4%
제 109
 
4.4%
해 106
 
4.3%
회 103
 
4.1%
재 103
 
4.1%
화 102
 
4.1%
상 92
 
3.7%
Other values (81) 1333
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2417
97.0%
Uppercase Letter 52
 
2.1%
Lowercase Letter 10
 
0.4%
Space Separator 6
 
0.2%
Control 5
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 165
 
6.8%
교 144
 
6.0%
안 126
 
5.2%
공 109
 
4.5%
제 109
 
4.5%
해 106
 
4.4%
회 103
 
4.3%
재 103
 
4.3%
화 102
 
4.2%
상 92
 
3.8%
Other values (63) 1258
52.0%
Uppercase Letter
ValueCountFrequency (%)
B 20
38.5%
D 13
25.0%
K 10
19.2%
A 2
 
3.8%
T 2
 
3.8%
S 1
 
1.9%
M 1
 
1.9%
E 1
 
1.9%
G 1
 
1.9%
I 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
b 3
30.0%
d 2
20.0%
h 2
20.0%
e 2
20.0%
k 1
 
10.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2417
97.0%
Latin 62
 
2.5%
Common 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 165
 
6.8%
교 144
 
6.0%
안 126
 
5.2%
공 109
 
4.5%
제 109
 
4.5%
해 106
 
4.4%
회 103
 
4.3%
재 103
 
4.3%
화 102
 
4.2%
상 92
 
3.8%
Other values (63) 1258
52.0%
Latin
ValueCountFrequency (%)
B 20
32.3%
D 13
21.0%
K 10
16.1%
b 3
 
4.8%
A 2
 
3.2%
d 2
 
3.2%
T 2
 
3.2%
h 2
 
3.2%
e 2
 
3.2%
S 1
 
1.6%
Other values (5) 5
 
8.1%
Common
ValueCountFrequency (%)
6
46.2%
5
38.5%
- 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2417
97.0%
ASCII 75
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 165
 
6.8%
교 144
 
6.0%
안 126
 
5.2%
공 109
 
4.5%
제 109
 
4.5%
해 106
 
4.4%
회 103
 
4.3%
재 103
 
4.3%
화 102
 
4.2%
상 92
 
3.8%
Other values (63) 1258
52.0%
ASCII
ValueCountFrequency (%)
B 20
26.7%
D 13
17.3%
K 10
13.3%
6
 
8.0%
5
 
6.7%
b 3
 
4.0%
A 2
 
2.7%
d 2
 
2.7%
- 2
 
2.7%
T 2
 
2.7%
Other values (8) 10
13.3%

업체명2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
378 
현대해상
 
4
현대해상화재보험
 
3
삼성화재
 
2
KB손해보험
 
2
Other values (2)
 
3

Length

Max length8
Median length4
Mean length4.0535714
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 378
96.4%
현대해상 4
 
1.0%
현대해상화재보험 3
 
0.8%
삼성화재 2
 
0.5%
KB손해보험 2
 
0.5%
DB손해보험 2
 
0.5%
ADT캡스 1
 
0.3%

Length

2024-03-13T18:47:55.586980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:47:55.710236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 378
96.4%
현대해상 4
 
1.0%
현대해상화재보험 3
 
0.8%
삼성화재 2
 
0.5%
kb손해보험 2
 
0.5%
db손해보험 2
 
0.5%
adt캡스 1
 
0.3%

업체명3
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
388 
전국전세버스운송사업조합연합회공제조합
 
4

Length

Max length19
Median length4
Mean length4.1530612
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 388
99.0%
전국전세버스운송사업조합연합회공제조합 4
 
1.0%

Length

2024-03-13T18:47:55.838441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:47:55.928832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 388
99.0%
전국전세버스운송사업조합연합회공제조합 4
 
1.0%

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224.939
Minimum20181
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-13T18:47:56.010576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20191
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.895418
Coefficient of variation (CV)0.00073648767
Kurtosis2.0864361
Mean20224.939
Median Absolute Deviation (MAD)0
Skewness-1.9169906
Sum7928176
Variance221.87348
MonotonicityNot monotonic
2024-03-13T18:47:56.109817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20232 298
76.0%
20222 19
 
4.8%
20192 15
 
3.8%
20201 14
 
3.6%
20182 14
 
3.6%
20191 14
 
3.6%
20231 8
 
2.0%
20212 8
 
2.0%
20181 2
 
0.5%
ValueCountFrequency (%)
20181 2
 
0.5%
20182 14
 
3.6%
20191 14
 
3.6%
20192 15
 
3.8%
20201 14
 
3.6%
20212 8
 
2.0%
20222 19
 
4.8%
20231 8
 
2.0%
20232 298
76.0%
ValueCountFrequency (%)
20232 298
76.0%
20231 8
 
2.0%
20222 19
 
4.8%
20212 8
 
2.0%
20201 14
 
3.6%
20192 15
 
3.8%
20191 14
 
3.6%
20182 14
 
3.6%
20181 2
 
0.5%

주소
Text

Distinct59
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-13T18:47:56.355924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.852041
Min length15

Characters and Unicode

Total characters7390
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강서구 마곡서1로 68
2nd row서울특별시 강서구 마곡서1로 68
3rd row서울특별시 강서구 마곡서1로 68
4th row서울특별시 강서구 마곡서1로 68
5th row서울특별시 강서구 마곡서1로 68
ValueCountFrequency (%)
서울특별시 392
25.0%
강서구 392
25.0%
허준로 59
 
3.8%
강서로 21
 
1.3%
금낭화로 19
 
1.2%
39 18
 
1.1%
까치산로 15
 
1.0%
23 14
 
0.9%
63 13
 
0.8%
76 13
 
0.8%
Other values (88) 612
39.0%
2024-03-13T18:47:56.758269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1176
15.9%
서 869
 
11.8%
강 459
 
6.2%
로 392
 
5.3%
구 392
 
5.3%
울 392
 
5.3%
시 392
 
5.3%
별 392
 
5.3%
특 392
 
5.3%
1 271
 
3.7%
Other values (48) 2263
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4774
64.6%
Decimal Number 1402
 
19.0%
Space Separator 1176
 
15.9%
Dash Punctuation 38
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 869
18.2%
강 459
9.6%
로 392
8.2%
구 392
8.2%
울 392
8.2%
시 392
8.2%
별 392
8.2%
특 392
8.2%
길 242
 
5.1%
화 75
 
1.6%
Other values (36) 777
16.3%
Decimal Number
ValueCountFrequency (%)
1 271
19.3%
3 225
16.0%
6 165
11.8%
4 145
10.3%
2 140
10.0%
7 103
 
7.3%
0 99
 
7.1%
8 87
 
6.2%
5 85
 
6.1%
9 82
 
5.8%
Space Separator
ValueCountFrequency (%)
1176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4774
64.6%
Common 2616
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 869
18.2%
강 459
9.6%
로 392
8.2%
구 392
8.2%
울 392
8.2%
시 392
8.2%
별 392
8.2%
특 392
8.2%
길 242
 
5.1%
화 75
 
1.6%
Other values (36) 777
16.3%
Common
ValueCountFrequency (%)
1176
45.0%
1 271
 
10.4%
3 225
 
8.6%
6 165
 
6.3%
4 145
 
5.5%
2 140
 
5.4%
7 103
 
3.9%
0 99
 
3.8%
8 87
 
3.3%
5 85
 
3.2%
Other values (2) 120
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4774
64.6%
ASCII 2616
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1176
45.0%
1 271
 
10.4%
3 225
 
8.6%
6 165
 
6.3%
4 145
 
5.5%
2 140
 
5.4%
7 103
 
3.9%
0 99
 
3.8%
8 87
 
3.3%
5 85
 
3.2%
Other values (2) 120
 
4.6%
Hangul
ValueCountFrequency (%)
서 869
18.2%
강 459
9.6%
로 392
8.2%
구 392
8.2%
울 392
8.2%
시 392
8.2%
별 392
8.2%
특 392
8.2%
길 242
 
5.1%
화 75
 
1.6%
Other values (36) 777
16.3%

Interactions

2024-03-13T18:47:52.253265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T18:47:56.851221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2공시차수주소
유치원코드1.0001.0001.0000.0000.3580.3230.8990.8180.9841.000
유치원명1.0001.0001.0000.0000.3580.3230.8990.8180.9841.000
설립유형1.0001.0001.0000.3330.4670.4320.426NaN0.2130.989
가입 보험명0.0000.0000.3331.0000.5180.5210.9290.0000.6850.000
대상여부0.3580.3580.4670.5181.0000.9920.000NaN0.2040.350
가입여부0.3230.3230.4320.5210.9921.000NaNNaN0.2040.315
업체명10.8990.8990.4260.9290.000NaN1.0000.8280.8030.895
업체명20.8180.818NaN0.000NaNNaN0.8281.0000.9120.818
공시차수0.9840.9840.2130.6850.2040.2040.8030.9121.0000.971
주소1.0001.0000.9890.0000.3500.3150.8950.8180.9711.000
2024-03-13T18:47:56.968749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명3대상여부가입여부설립유형업체명2가입 보험명
업체명31.0001.0001.0001.0001.0001.000
대상여부1.0001.0000.9220.3151.0000.441
가입여부1.0000.9221.0000.2901.0000.444
설립유형1.0000.3150.2901.0001.0000.179
업체명21.0001.0001.0001.0001.0000.000
가입 보험명1.0000.4410.4440.1790.0001.000
2024-03-13T18:47:57.060508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형가입 보험명대상여부가입여부업체명2업체명3
공시차수1.0000.1500.3730.2170.2160.5891.000
설립유형0.1501.0000.1790.3150.2901.0001.000
가입 보험명0.3730.1791.0000.4410.4440.0001.000
대상여부0.2170.3150.4411.0000.9221.0001.000
가입여부0.2160.2900.4440.9221.0001.0001.000
업체명20.5891.0000.0001.0001.0001.0001.000
업체명31.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-13T18:47:52.363248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:47:52.815905image/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

교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
0서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 강서구 마곡서1로 68
1서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)가스배상책임보험YY삼성화재<NA><NA>20232서울특별시 강서구 마곡서1로 68
2서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 강서구 마곡서1로 68
3서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)놀이시설 안전보험YY한국안전공제중앙회<NA><NA>20232서울특별시 강서구 마곡서1로 68
4서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 강서구 마곡서1로 68
5서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 강서구 마곡서1로 68
6서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)가스배상책임보험YY현대해상화재보험<NA><NA>20232서울특별시 강서구 금낭화로 287-19
7서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)놀이시설 안전보험YY현대해상화재보험<NA><NA>20232서울특별시 강서구 금낭화로 287-19
8서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)통학버스 책임보험YY삼성화재<NA><NA>20232서울특별시 강서구 금낭화로 287-19
9서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)통학버스 종합보험YN<NA><NA><NA>20232서울특별시 강서구 금낭화로 287-19
교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
382서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 강서구 허준로 186
383서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)가스배상책임보험YY삼성화재<NA><NA>20232서울특별시 강서구 허준로 186
384서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 강서구 허준로 186
385서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)놀이시설 안전보험YY한국교육시설안전원<NA><NA>20232서울특별시 강서구 허준로 186
386서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 강서구 강서로56나길 34
387서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)가스배상책임보험YY삼성화재<NA><NA>20232서울특별시 강서구 강서로56나길 34
388서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 강서구 강서로56나길 34
389서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 강서구 강서로56나길 34
390서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)놀이시설 안전보험YY학교배상책임공제<NA><NA>20232서울특별시 강서구 강서로56나길 34
391서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 강서구 강서로56나길 34