Overview

Dataset statistics

Number of variables12
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory105.5 B

Variable types

Categorical3
Text3
Numeric6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,1년미만교사수,1년이상2년미만교사수,2년이상4년미만교사수,4년이상6년미만교사수,6년이상교사수,공시차수,주소
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-20773/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
1년미만교사수 has 8 (21.1%) zerosZeros
1년이상2년미만교사수 has 13 (34.2%) zerosZeros
2년이상4년미만교사수 has 16 (42.1%) zerosZeros
4년이상6년미만교사수 has 12 (31.6%) zerosZeros
6년이상교사수 has 23 (60.5%) zerosZeros

Reproduction

Analysis started2024-04-17 16:40:02.388630
Analysis finished2024-04-17 16:40:05.618408
Duration3.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-04-18T01:40:05.670284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:40:05.744343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
동작관악교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 38
100.0%

Length

2024-04-18T01:40:05.820436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:40:05.900197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-18T01:40:06.062082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-efbf-b044-e053-0a32095ab044
2nd row1ecec08c-efc2-b044-e053-0a32095ab044
3rd row1ecec08c-f1a0-b044-e053-0a32095ab044
4th row1ecec08c-f1ad-b044-e053-0a32095ab044
5th row1ecec08c-f3eb-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-efbf-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6c-b044-e053-0a32095ab044 1
 
2.6%
8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73 1
 
2.6%
1ecec08d-0562-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-06c3-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09b9-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ba-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09bb-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d67-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-04-18T01:40:06.343043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 751
54.9%
Lowercase Letter 465
34.0%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.9%
4 141
18.8%
3 81
 
10.8%
5 76
 
10.1%
1 55
 
7.3%
8 52
 
6.9%
9 51
 
6.8%
2 46
 
6.1%
6 24
 
3.2%
7 8
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
66.0%
Latin 465
34.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
24.0%
- 152
16.8%
4 141
15.6%
3 81
 
9.0%
5 76
 
8.4%
1 55
 
6.1%
8 52
 
5.8%
9 51
 
5.6%
2 46
 
5.1%
6 24
 
2.7%
Latin
ValueCountFrequency (%)
e 116
24.9%
c 108
23.2%
a 85
18.3%
b 81
17.4%
f 38
 
8.2%
d 37
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 141
10.3%
e 116
8.5%
c 108
7.9%
a 85
 
6.2%
3 81
 
5.9%
b 81
 
5.9%
5 76
 
5.6%
1 55
 
4.0%
Other values (7) 256
18.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-18T01:40:06.535958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2631579
Min length5

Characters and Unicode

Total characters276
Distinct characters69
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울은로초등학교병설유치원
2nd row예림유치원
3rd row서울상도유치원
4th row총신대부속유치원
5th row동그라미유치원
ValueCountFrequency (%)
서울은로초등학교병설유치원 1
 
2.6%
서울강남초등학교병설유치원 1
 
2.6%
서울은로유치원 1
 
2.6%
노량진교회유치원 1
 
2.6%
하랑숲유치원 1
 
2.6%
상아유치원 1
 
2.6%
소망유치원 1
 
2.6%
승혜유치원 1
 
2.6%
요요유치원 1
 
2.6%
명수유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-04-18T01:40:06.808027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
 
13.8%
치 38
 
13.8%
유 38
 
13.8%
서 10
 
3.6%
울 10
 
3.6%
교 9
 
3.3%
설 8
 
2.9%
병 8
 
2.9%
학 8
 
2.9%
등 8
 
2.9%
Other values (59) 101
36.6%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
19 
사립(법인)
9 
공립(병설)
8 
공립(단설)
2 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립(병설)
2nd row사립(사인)
3rd row공립(단설)
4th row사립(법인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 19
50.0%
사립(법인) 9
23.7%
공립(병설) 8
21.1%
공립(단설) 2
 
5.3%

Length

2024-04-18T01:40:06.909651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:40:06.988708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 19
50.0%
사립(법인 9
23.7%
공립(병설 8
21.1%
공립(단설 2
 
5.3%

1년미만교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1052632
Minimum0
Maximum7
Zeros8
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T01:40:07.061906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1154448
Coefficient of variation (CV)1.0048363
Kurtosis-0.41072016
Mean2.1052632
Median Absolute Deviation (MAD)1
Skewness0.97537921
Sum80
Variance4.4751067
MonotonicityNot monotonic
2024-04-18T01:40:07.146276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 14
36.8%
0 8
21.1%
5 5
 
13.2%
2 5
 
13.2%
6 3
 
7.9%
3 2
 
5.3%
7 1
 
2.6%
ValueCountFrequency (%)
0 8
21.1%
1 14
36.8%
2 5
 
13.2%
3 2
 
5.3%
5 5
 
13.2%
6 3
 
7.9%
7 1
 
2.6%
ValueCountFrequency (%)
7 1
 
2.6%
6 3
 
7.9%
5 5
 
13.2%
3 2
 
5.3%
2 5
 
13.2%
1 14
36.8%
0 8
21.1%

1년이상2년미만교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5263158
Minimum0
Maximum7
Zeros13
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T01:40:07.231675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8993148
Coefficient of variation (CV)1.2443787
Kurtosis2.2073572
Mean1.5263158
Median Absolute Deviation (MAD)1
Skewness1.6559876
Sum58
Variance3.6073969
MonotonicityNot monotonic
2024-04-18T01:40:07.318212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 13
34.2%
1 13
34.2%
2 5
 
13.2%
4 2
 
5.3%
5 2
 
5.3%
7 2
 
5.3%
3 1
 
2.6%
ValueCountFrequency (%)
0 13
34.2%
1 13
34.2%
2 5
 
13.2%
3 1
 
2.6%
4 2
 
5.3%
5 2
 
5.3%
7 2
 
5.3%
ValueCountFrequency (%)
7 2
 
5.3%
5 2
 
5.3%
4 2
 
5.3%
3 1
 
2.6%
2 5
 
13.2%
1 13
34.2%
0 13
34.2%

2년이상4년미만교사수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3684211
Minimum0
Maximum6
Zeros16
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T01:40:07.420874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.15
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7308185
Coefficient of variation (CV)1.2648289
Kurtosis1.2332652
Mean1.3684211
Median Absolute Deviation (MAD)1
Skewness1.40627
Sum52
Variance2.9957326
MonotonicityNot monotonic
2024-04-18T01:40:07.510225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
42.1%
1 10
26.3%
2 4
 
10.5%
3 3
 
7.9%
6 2
 
5.3%
4 2
 
5.3%
5 1
 
2.6%
ValueCountFrequency (%)
0 16
42.1%
1 10
26.3%
2 4
 
10.5%
3 3
 
7.9%
4 2
 
5.3%
5 1
 
2.6%
6 2
 
5.3%
ValueCountFrequency (%)
6 2
 
5.3%
5 1
 
2.6%
4 2
 
5.3%
3 3
 
7.9%
2 4
 
10.5%
1 10
26.3%
0 16
42.1%

4년이상6년미만교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1842105
Minimum0
Maximum7
Zeros12
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T01:40:07.592757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.75
95-th percentile3.3
Maximum7
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.4114448
Coefficient of variation (CV)1.1918867
Kurtosis7.9029998
Mean1.1842105
Median Absolute Deviation (MAD)1
Skewness2.4555725
Sum45
Variance1.9921764
MonotonicityNot monotonic
2024-04-18T01:40:07.671958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16
42.1%
0 12
31.6%
2 7
18.4%
5 1
 
2.6%
7 1
 
2.6%
3 1
 
2.6%
ValueCountFrequency (%)
0 12
31.6%
1 16
42.1%
2 7
18.4%
3 1
 
2.6%
5 1
 
2.6%
7 1
 
2.6%
ValueCountFrequency (%)
7 1
 
2.6%
5 1
 
2.6%
3 1
 
2.6%
2 7
18.4%
1 16
42.1%
0 12
31.6%

6년이상교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.78947368
Minimum0
Maximum8
Zeros23
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T01:40:07.751272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.15
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.52737
Coefficient of variation (CV)1.9346687
Kurtosis13.379897
Mean0.78947368
Median Absolute Deviation (MAD)0
Skewness3.3056716
Sum30
Variance2.3328592
MonotonicityNot monotonic
2024-04-18T01:40:07.835103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 23
60.5%
1 9
 
23.7%
2 3
 
7.9%
8 1
 
2.6%
4 1
 
2.6%
3 1
 
2.6%
ValueCountFrequency (%)
0 23
60.5%
1 9
 
23.7%
2 3
 
7.9%
3 1
 
2.6%
4 1
 
2.6%
8 1
 
2.6%
ValueCountFrequency (%)
8 1
 
2.6%
4 1
 
2.6%
3 1
 
2.6%
2 3
 
7.9%
1 9
 
23.7%
0 23
60.5%

공시차수
Real number (ℝ)

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.211
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T01:40:07.919590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120222
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.910189
Coefficient of variation (CV)0.0008362186
Kurtosis0.77577925
Mean20222.211
Median Absolute Deviation (MAD)0
Skewness-1.5032852
Sum768444
Variance285.95448
MonotonicityNot monotonic
2024-04-18T01:40:08.006471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20202 3
 
7.9%
20182 3
 
7.9%
20211 1
 
2.6%
20191 1
 
2.6%
20192 1
 
2.6%
ValueCountFrequency (%)
20182 3
 
7.9%
20191 1
 
2.6%
20192 1
 
2.6%
20202 3
 
7.9%
20211 1
 
2.6%
20222 3
 
7.9%
20232 26
68.4%
ValueCountFrequency (%)
20232 26
68.4%
20222 3
 
7.9%
20211 1
 
2.6%
20202 3
 
7.9%
20192 1
 
2.6%
20191 1
 
2.6%
20182 3
 
7.9%

주소
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-18T01:40:08.181046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21.5
Mean length18.789474
Min length16

Characters and Unicode

Total characters714
Distinct characters57
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

Unique34 ?
Unique (%)89.5%

Sample

1st row서울특별시 동작구 서달로 115
2nd row서울특별시 동작구 현충로 151
3rd row서울특별시 동작구 만양로3길 48
4th row서울특별시 동작구 사당로 143
5th row서울특별시 동작구 사당로28길 34
ValueCountFrequency (%)
서울특별시 38
25.0%
동작구 38
25.0%
15 3
 
2.0%
서달로 2
 
1.3%
115 2
 
1.3%
만양로3길 2
 
1.3%
48 2
 
1.3%
현충로 2
 
1.3%
사당로 2
 
1.3%
여의대방로 2
 
1.3%
Other values (58) 59
38.8%
2024-04-18T01:40:08.468546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.0%
서 40
 
5.6%
동 40
 
5.6%
작 40
 
5.6%
시 39
 
5.5%
울 38
 
5.3%
구 38
 
5.3%
별 38
 
5.3%
특 38
 
5.3%
로 36
 
5.0%
Other values (47) 253
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
65.3%
Decimal Number 128
 
17.9%
Space Separator 114
 
16.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Decimal Number
ValueCountFrequency (%)
1 25
19.5%
4 21
16.4%
2 18
14.1%
5 14
10.9%
6 13
10.2%
3 13
10.2%
7 7
 
5.5%
0 7
 
5.5%
8 5
 
3.9%
9 5
 
3.9%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 466
65.3%
Common 248
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%
Common
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
65.3%
ASCII 248
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
46.0%
1 25
 
10.1%
4 21
 
8.5%
2 18
 
7.3%
5 14
 
5.6%
6 13
 
5.2%
3 13
 
5.2%
7 7
 
2.8%
0 7
 
2.8%
- 6
 
2.4%
Other values (2) 10
 
4.0%
Hangul
ValueCountFrequency (%)
서 40
8.6%
동 40
8.6%
작 40
8.6%
시 39
8.4%
울 38
 
8.2%
구 38
 
8.2%
별 38
 
8.2%
특 38
 
8.2%
로 36
 
7.7%
길 24
 
5.2%
Other values (35) 95
20.4%

Interactions

2024-04-18T01:40:04.991307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:02.696763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.098531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.494898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.931770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.575759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:05.056603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:02.762222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.166402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.559372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.000150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.646146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:05.130784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:02.828212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.231619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.628683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.069993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.714866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:05.209275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:02.892681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.295529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.712763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.135861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.781017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:05.287910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:02.963449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.361054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.788962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.430329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.853172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:05.355897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.035770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.430927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:03.869590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.509802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:40:04.926496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T01:40:08.549643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.4560.2010.0000.5490.1280.0000.000
1년미만교사수1.0001.0000.4561.0000.0000.2530.0000.2700.3250.000
1년이상2년미만교사수1.0001.0000.2010.0001.0000.8560.0000.5440.0000.988
2년이상4년미만교사수1.0001.0000.0000.2530.8561.0000.0000.0000.0000.897
4년이상6년미만교사수1.0001.0000.5490.0000.0000.0001.0000.1950.5080.000
6년이상교사수1.0001.0000.1280.2700.5440.0000.1951.0000.0000.994
공시차수1.0001.0000.0000.3250.0000.0000.5080.0001.0000.716
주소1.0001.0000.0000.0000.9880.8970.0000.9940.7161.000
2024-04-18T01:40:08.644632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수설립유형
1년미만교사수1.0000.2720.290-0.1700.048-0.0180.309
1년이상2년미만교사수0.2721.0000.3090.0410.2550.3070.115
2년이상4년미만교사수0.2900.3091.0000.1810.0460.1640.000
4년이상6년미만교사수-0.1700.0410.1811.0000.234-0.1520.370
6년이상교사수0.0480.2550.0460.2341.0000.1080.052
공시차수-0.0180.3070.164-0.1520.1081.0000.000
설립유형0.3090.1150.0000.3700.0520.0001.000

Missing values

2024-04-18T01:40:05.446822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T01:40:05.569145image/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

교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-efbf-b044-e053-0a32095ab044서울은로초등학교병설유치원공립(병설)0005020222서울특별시 동작구 서달로 115
1서울특별시교육청동작관악교육지원청1ecec08c-efc2-b044-e053-0a32095ab044예림유치원사립(사인)1010120222서울특별시 동작구 현충로 151
2서울특별시교육청동작관악교육지원청1ecec08c-f1a0-b044-e053-0a32095ab044서울상도유치원공립(단설)0107020232서울특별시 동작구 만양로3길 48
3서울특별시교육청동작관악교육지원청1ecec08c-f1ad-b044-e053-0a32095ab044총신대부속유치원사립(법인)5262020232서울특별시 동작구 사당로 143
4서울특별시교육청동작관악교육지원청1ecec08c-f3eb-b044-e053-0a32095ab044동그라미유치원사립(사인)5452120232서울특별시 동작구 사당로28길 34
5서울특별시교육청동작관악교육지원청1ecec08c-f3fb-b044-e053-0a32095ab044은혜유치원사립(사인)3000020211서울특별시 동작구 성대로6가길 29
6서울특별시교육청동작관악교육지원청1ecec08c-f56c-b044-e053-0a32095ab044서울문창초등학교병설유치원공립(병설)1130020232서울특별시 동작구 신대방2길 14
7서울특별시교육청동작관악교육지원청1ecec08c-f6f1-b044-e053-0a32095ab044행복유치원사립(법인)3211820232서울특별시 동작구 양녕로23길 25
8서울특별시교육청동작관악교육지원청1ecec08c-f8ac-b044-e053-0a32095ab044양문유치원사립(사인)0200020232서울특별시 동작구 시흥대로 644-1
9서울특별시교육청동작관악교육지원청1ecec08c-f940-b044-e053-0a32095ab044샛별유치원사립(법인)2361220232서울특별시 동작구 상도로50길 36-1
교육청명교육지원청명유치원코드유치원명설립유형1년미만교사수1년이상2년미만교사수2년이상4년미만교사수4년이상6년미만교사수6년이상교사수공시차수주소
28서울특별시교육청동작관악교육지원청1ecec08d-0bb2-b044-e053-0a32095ab044중앙대부속유치원사립(법인)1131020232서울특별시 동작구 흑석로 47
29서울특별시교육청동작관악교육지원청1ecec08d-0d67-b044-e053-0a32095ab044명수유치원사립(법인)1102320232서울특별시 동작구 흑석로13길 3
30서울특별시교육청동작관악교육지원청1ecec08d-0e1f-b044-e053-0a32095ab044송림유치원사립(법인)2200220232서울특별시 동작구 사당로2다길 95
31서울특별시교육청동작관악교육지원청1fc6dd86-cccc-d1d2-e053-0a32095ad1d2행복한숲유치원사립(사인)2720020232서울특별시 동작구 만양로 26
32서울특별시교육청동작관악교육지원청3f6c4638-fa48-42ee-b862-cdcbdee6eef0서울노량진초등학교병설유치원공립(병설)1000020232서울특별시 동작구 장승배기로 160
33서울특별시교육청동작관악교육지원청6cc39611-cfc5-4d3e-bc54-ff88d1afcf01모아유치원사립(사인)5100020182서울특별시 동작구 동작대로27길 62
34서울특별시교육청동작관악교육지원청6f1822d8-a14e-4236-a707-fd9af1e88aec시현유치원사립(사인)6210020232서울특별시 동작구 만양로8길 50
35서울특별시교육청동작관악교육지원청89e2307e-5deb-45c1-84c3-670f209825f3서울행림초등학교병설유치원공립(병설)0011020232서울특별시 동작구 솔밭로 47
36서울특별시교육청동작관악교육지원청8a1d9a31-65ba-4f9e-b5dd-dc6a8169ce73서울은로유치원공립(단설)7000020232서울특별시 동작구 서달로 115
37서울특별시교육청동작관악교육지원청afaeef71-68b6-4a13-acd4-cb8285459fb9서울본동초등학교병설유치원공립(병설)0001020222서울특별시 동작구 노량진로26길 16-40