Overview

Dataset statistics

Number of variables22
Number of observations32
Missing cells32
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory196.1 B

Variable types

Categorical14
Text3
Numeric4
Unsupported1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,원장수,원감수,수석교사수,보직교사수,일반교사수,특수교사수,보건교사수,영양교사수,기간제교사수,강사수,사무직원수,수석교사자격수,공정교사1급자격수,정교사2급자격수,준교사자격수,공시차수,주소
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20657/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
준교사자격수 has constant value ""Constant
수석교사수 is highly imbalanced (74.8%)Imbalance
특수교사수 is highly imbalanced (55.1%)Imbalance
보건교사수 is highly imbalanced (79.9%)Imbalance
영양교사수 is highly imbalanced (66.3%)Imbalance
수석교사자격수 is highly imbalanced (79.9%)Imbalance
공시차수 is highly imbalanced (63.4%)Imbalance
강사수 has 32 (100.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique
강사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
일반교사수 has 1 (3.1%) zerosZeros
사무직원수 has 4 (12.5%) zerosZeros
공정교사1급자격수 has 4 (12.5%) zerosZeros
정교사2급자격수 has 8 (25.0%) zerosZeros

Reproduction

Analysis started2024-03-13 11:47:46.165014
Analysis finished2024-03-13 11:47:46.439415
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
서울특별시교육청
32 

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 32
100.0%

Length

2024-03-13T20:47:46.506017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:46.644651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 32
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
성동광진교육지원청
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

Length

2024-03-13T20:47:46.770480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:46.934429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

유치원코드
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T20:47:47.215816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1152
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

Unique32 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed19-b044-e053-0a32095ab044
2nd row1ecec08c-f424-b044-e053-0a32095ab044
3rd row1ecec08c-f507-b044-e053-0a32095ab044
4th row1ecec08c-f526-b044-e053-0a32095ab044
5th row1ecec08c-f8d0-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed19-b044-e053-0a32095ab044 1
 
3.1%
1ecec08c-f424-b044-e053-0a32095ab044 1
 
3.1%
c86bfe33-312b-465b-ae84-67bdc4e80ab3 1
 
3.1%
907fd160-25a1-4048-8de4-27e545ebd656 1
 
3.1%
442ef88e-43d6-4048-a12d-ed742301b58a 1
 
3.1%
1ecec08d-0f50-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f39-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f38-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e81-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e4c-b044-e053-0a32095ab044 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T20:47:47.687881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
57.3%
Lowercase Letter 364
31.6%
Dash Punctuation 128
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
30.8%
4 135
20.5%
3 71
 
10.8%
5 70
 
10.6%
8 46
 
7.0%
2 41
 
6.2%
1 40
 
6.1%
9 36
 
5.5%
6 10
 
1.5%
7 8
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
68.4%
Latin 364
31.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
25.8%
4 135
17.1%
- 128
16.2%
3 71
 
9.0%
5 70
 
8.9%
8 46
 
5.8%
2 41
 
5.2%
1 40
 
5.1%
9 36
 
4.6%
6 10
 
1.3%
Latin
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

유치원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T20:47:47.983791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.71875
Min length4

Characters and Unicode

Total characters279
Distinct characters60
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울마장초등학교병설유치원
2nd row아이들세상유치원
3rd row경동유치원
4th row송곡유치원
5th row성심유치원
ValueCountFrequency (%)
서울마장초등학교병설유치원 1
 
3.1%
아이들세상유치원 1
 
3.1%
서울경일초등학교병설유치원 1
 
3.1%
서울금호초등학교병설유치원 1
 
3.1%
서울동명초등학교병설유치원 1
 
3.1%
로사유치원 1
 
3.1%
서울옥정초등학교병설유치원 1
 
3.1%
서울사근초등학교병설유치원 1
 
3.1%
서울숭신초등학교병설유치원 1
 
3.1%
조은유치원 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T20:47:48.390911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
11.8%
32
 
11.5%
32
 
11.5%
16
 
5.7%
14
 
5.0%
14
 
5.0%
14
 
5.0%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (50) 85
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
11.8%
32
 
11.5%
32
 
11.5%
16
 
5.7%
14
 
5.0%
14
 
5.0%
14
 
5.0%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (50) 85
30.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
11.8%
32
 
11.5%
32
 
11.5%
16
 
5.7%
14
 
5.0%
14
 
5.0%
14
 
5.0%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (50) 85
30.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
 
11.8%
32
 
11.5%
32
 
11.5%
16
 
5.7%
14
 
5.0%
14
 
5.0%
14
 
5.0%
13
 
4.7%
13
 
4.7%
13
 
4.7%
Other values (50) 85
30.5%

설립유형
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
공립(병설) 13
40.6%
사립(사인) 13
40.6%
사립(법인) 5
 
15.6%
공립(단설) 1
 
3.1%

Length

2024-03-13T20:47:48.547147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:49.026053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
40.6%
사립(사인 13
40.6%
사립(법인 5
 
15.6%
공립(단설 1
 
3.1%

원장수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
19 
0
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 19
59.4%
0 13
40.6%

Length

2024-03-13T20:47:49.189312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:49.389320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
59.4%
0 13
40.6%

원감수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
21 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 21
65.6%
1 11
34.4%

Length

2024-03-13T20:47:49.536605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:49.673679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
65.6%
1 11
34.4%

수석교사수
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
30 
1
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
93.8%
1 1
 
3.1%
2 1
 
3.1%

Length

2024-03-13T20:47:49.807038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:49.927026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
93.8%
1 1
 
3.1%
2 1
 
3.1%

보직교사수
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
17 
1
13 
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17
53.1%
1 13
40.6%
2 1
 
3.1%
5 1
 
3.1%

Length

2024-03-13T20:47:50.038292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:50.139897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
53.1%
1 13
40.6%
2 1
 
3.1%
5 1
 
3.1%

일반교사수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8125
Minimum0
Maximum17
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T20:47:50.273762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q36.25
95-th percentile11.45
Maximum17
Range17
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.8473912
Coefficient of variation (CV)0.79945792
Kurtosis1.9662446
Mean4.8125
Median Absolute Deviation (MAD)1
Skewness1.4502357
Sum154
Variance14.802419
MonotonicityNot monotonic
2024-03-13T20:47:50.413368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 12
37.5%
3 5
15.6%
6 3
 
9.4%
11 2
 
6.2%
8 2
 
6.2%
5 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%
4 1
 
3.1%
17 1
 
3.1%
Other values (2) 2
 
6.2%
ValueCountFrequency (%)
0 1
 
3.1%
2 12
37.5%
3 5
15.6%
4 1
 
3.1%
5 2
 
6.2%
6 3
 
9.4%
7 1
 
3.1%
8 2
 
6.2%
9 1
 
3.1%
11 2
 
6.2%
ValueCountFrequency (%)
17 1
 
3.1%
12 1
 
3.1%
11 2
 
6.2%
9 1
 
3.1%
8 2
 
6.2%
7 1
 
3.1%
6 3
9.4%
5 2
 
6.2%
4 1
 
3.1%
3 5
15.6%

특수교사수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
29 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
90.6%
1 3
 
9.4%

Length

2024-03-13T20:47:50.545778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:50.655172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
90.6%
1 3
 
9.4%

보건교사수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
31 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
96.9%
1 1
 
3.1%

Length

2024-03-13T20:47:50.778809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:50.895688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
1 1
 
3.1%

영양교사수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
30 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
93.8%
1 2
 
6.2%

Length

2024-03-13T20:47:51.017300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:51.127942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
93.8%
1 2
 
6.2%
Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
23 
1
4
7
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row0
2nd row0
3rd row4
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
71.9%
1 4
 
12.5%
4 3
 
9.4%
7 1
 
3.1%
3 1
 
3.1%

Length

2024-03-13T20:47:51.232044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:51.351393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
71.9%
1 4
 
12.5%
4 3
 
9.4%
7 1
 
3.1%
3 1
 
3.1%

강사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

사무직원수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8125
Minimum0
Maximum19
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T20:47:51.660451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35
95-th percentile7.9
Maximum19
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5870511
Coefficient of variation (CV)0.94086586
Kurtosis9.7629913
Mean3.8125
Median Absolute Deviation (MAD)2
Skewness2.4978945
Sum122
Variance12.866935
MonotonicityNot monotonic
2024-03-13T20:47:51.845082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 7
21.9%
4 6
18.8%
1 5
15.6%
2 4
12.5%
0 4
12.5%
6 2
 
6.2%
3 1
 
3.1%
9 1
 
3.1%
19 1
 
3.1%
7 1
 
3.1%
ValueCountFrequency (%)
0 4
12.5%
1 5
15.6%
2 4
12.5%
3 1
 
3.1%
4 6
18.8%
5 7
21.9%
6 2
 
6.2%
7 1
 
3.1%
9 1
 
3.1%
19 1
 
3.1%
ValueCountFrequency (%)
19 1
 
3.1%
9 1
 
3.1%
7 1
 
3.1%
6 2
 
6.2%
5 7
21.9%
4 6
18.8%
3 1
 
3.1%
2 4
12.5%
1 5
15.6%
0 4
12.5%

수석교사자격수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
31 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
96.9%
2 1
 
3.1%

Length

2024-03-13T20:47:51.982240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:52.092263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
96.9%
2 1
 
3.1%

공정교사1급자격수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6875
Minimum0
Maximum13
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T20:47:52.212149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median3
Q33
95-th percentile4.45
Maximum13
Range13
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation2.3061978
Coefficient of variation (CV)0.85812012
Kurtosis12.737343
Mean2.6875
Median Absolute Deviation (MAD)1
Skewness2.8657326
Sum86
Variance5.3185484
MonotonicityNot monotonic
2024-03-13T20:47:52.381605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 10
31.2%
2 7
21.9%
4 5
15.6%
0 4
 
12.5%
1 4
 
12.5%
5 1
 
3.1%
13 1
 
3.1%
ValueCountFrequency (%)
0 4
 
12.5%
1 4
 
12.5%
2 7
21.9%
3 10
31.2%
4 5
15.6%
5 1
 
3.1%
13 1
 
3.1%
ValueCountFrequency (%)
13 1
 
3.1%
5 1
 
3.1%
4 5
15.6%
3 10
31.2%
2 7
21.9%
1 4
 
12.5%
0 4
 
12.5%

정교사2급자격수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.84375
Minimum0
Maximum11
Zeros8
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T20:47:52.530549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median2
Q34
95-th percentile9.9
Maximum11
Range11
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation3.0597214
Coefficient of variation (CV)1.075946
Kurtosis1.7065414
Mean2.84375
Median Absolute Deviation (MAD)2
Skewness1.4476609
Sum91
Variance9.3618952
MonotonicityNot monotonic
2024-03-13T20:47:52.660354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8
25.0%
3 5
15.6%
1 5
15.6%
2 5
15.6%
5 3
 
9.4%
11 2
 
6.2%
4 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%
ValueCountFrequency (%)
0 8
25.0%
1 5
15.6%
2 5
15.6%
3 5
15.6%
4 2
 
6.2%
5 3
 
9.4%
7 1
 
3.1%
9 1
 
3.1%
11 2
 
6.2%
ValueCountFrequency (%)
11 2
 
6.2%
9 1
 
3.1%
7 1
 
3.1%
5 3
 
9.4%
4 2
 
6.2%
3 5
15.6%
2 5
15.6%
1 5
15.6%
0 8
25.0%

준교사자격수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 32
100.0%

Length

2024-03-13T20:47:52.798505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:52.916484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
100.0%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
20232
28 
20192
 
2
20202
 
1
20182
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row20232
2nd row20232
3rd row20232
4th row20202
5th row20232

Common Values

ValueCountFrequency (%)
20232 28
87.5%
20192 2
 
6.2%
20202 1
 
3.1%
20182 1
 
3.1%

Length

2024-03-13T20:47:53.016628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:53.130331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20232 28
87.5%
20192 2
 
6.2%
20202 1
 
3.1%
20182 1
 
3.1%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T20:47:53.371190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.03125
Min length16

Characters and Unicode

Total characters577
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마장로35나길 31
2nd row서울특별시 성동구 독서당로 272
3rd row서울특별시 성동구 금호로 100
4th row서울특별시 성동구 무학로6길 41
5th row서울특별시 성동구 무학로10길 21
ValueCountFrequency (%)
서울특별시 32
25.0%
성동구 32
25.0%
독서당로 4
 
3.1%
21 4
 
3.1%
살곶이길 2
 
1.6%
50 2
 
1.6%
35 2
 
1.6%
마장로 1
 
0.8%
무학로 1
 
0.8%
금호로1길 1
 
0.8%
Other values (47) 47
36.7%
2024-03-13T20:47:53.852673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.6%
37
 
6.4%
34
 
5.9%
34
 
5.9%
32
 
5.5%
32
 
5.5%
32
 
5.5%
32
 
5.5%
32
 
5.5%
22
 
3.8%
Other values (45) 194
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
66.4%
Decimal Number 98
 
17.0%
Space Separator 96
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
9.7%
34
8.9%
34
8.9%
32
8.4%
32
8.4%
32
8.4%
32
8.4%
32
8.4%
22
 
5.7%
22
 
5.7%
Other values (34) 74
19.3%
Decimal Number
ValueCountFrequency (%)
1 22
22.4%
2 20
20.4%
3 12
12.2%
4 9
9.2%
5 9
9.2%
0 8
 
8.2%
9 7
 
7.1%
6 6
 
6.1%
7 4
 
4.1%
8 1
 
1.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
66.4%
Common 194
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
9.7%
34
8.9%
34
8.9%
32
8.4%
32
8.4%
32
8.4%
32
8.4%
32
8.4%
22
 
5.7%
22
 
5.7%
Other values (34) 74
19.3%
Common
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
66.4%
ASCII 194
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%
Hangul
ValueCountFrequency (%)
37
9.7%
34
8.9%
34
8.9%
32
8.4%
32
8.4%
32
8.4%
32
8.4%
32
8.4%
22
 
5.7%
22
 
5.7%
Other values (34) 74
19.3%

Sample

교육청명교육지원청명유치원코드유치원명설립유형원장수원감수수석교사수보직교사수일반교사수특수교사수보건교사수영양교사수기간제교사수강사수사무직원수수석교사자격수공정교사1급자격수정교사2급자격수준교사자격수공시차수주소
0서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)000120000<NA>5030020232서울특별시 성동구 마장로35나길 31
1서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)110090000<NA>1045020232서울특별시 성동구 독서당로 272
2서울특별시교육청성동광진교육지원청1ecec08c-f507-b044-e053-0a32095ab044경동유치원사립(사인)1101110004<NA>6039020232서울특별시 성동구 금호로 100
3서울특별시교육청성동광진교육지원청1ecec08c-f526-b044-e053-0a32095ab044송곡유치원사립(법인)110030000<NA>4003020202서울특별시 성동구 무학로6길 41
4서울특별시교육청성동광진교육지원청1ecec08c-f8d0-b044-e053-0a32095ab044성심유치원사립(법인)100060000<NA>4051020232서울특별시 성동구 무학로10길 21
5서울특별시교육청성동광진교육지원청1ecec08c-fe09-b044-e053-0a32095ab044옥수삼성유치원사립(사인)101070000<NA>2017020232서울특별시 성동구 독서당로 218
6서울특별시교육청성동광진교육지원청1ecec08d-00be-b044-e053-0a32095ab044세성유치원사립(사인)100040000<NA>2040020232서울특별시 성동구 독서당로 434
7서울특별시교육청성동광진교육지원청1ecec08d-01d5-b044-e053-0a32095ab044서울용답초등학교병설유치원공립(병설)000121000<NA>4030020232서울특별시 성동구 용답25길 1
8서울특별시교육청성동광진교육지원청1ecec08d-029d-b044-e053-0a32095ab044서울송원초등학교병설유치원공립(병설)000120000<NA>5021020232서울특별시 성동구 동일로43길 9
9서울특별시교육청성동광진교육지원청1ecec08d-02a8-b044-e053-0a32095ab044율화유치원사립(사인)100060000<NA>5033020232서울특별시 성동구 고산자로2길 35
교육청명교육지원청명유치원코드유치원명설립유형원장수원감수수석교사수보직교사수일반교사수특수교사수보건교사수영양교사수기간제교사수강사수사무직원수수석교사자격수공정교사1급자격수정교사2급자격수준교사자격수공시차수주소
22서울특별시교육청성동광진교육지원청1ecec08d-0e4b-b044-e053-0a32095ab044옥수예일유치원사립(사인)1100120000<NA>10111020232서울특별시 성동구 독서당로 191
23서울특별시교육청성동광진교육지원청1ecec08d-0e4c-b044-e053-0a32095ab044조은유치원사립(사인)100500007<NA>5023020232서울특별시 성동구 살곶이길 50
24서울특별시교육청성동광진교육지원청1ecec08d-0e81-b044-e053-0a32095ab044서울숭신초등학교병설유치원공립(병설)010031001<NA>0022020232서울특별시 성동구 마장로 161
25서울특별시교육청성동광진교육지원청1ecec08d-0f38-b044-e053-0a32095ab044서울사근초등학교병설유치원공립(병설)010130001<NA>7013020232서울특별시 성동구 사근동11길 16
26서울특별시교육청성동광진교육지원청1ecec08d-0f39-b044-e053-0a32095ab044서울옥정초등학교병설유치원공립(병설)000120004<NA>2021020232서울특별시 성동구 한림말길 43
27서울특별시교육청성동광진교육지원청1ecec08d-0f50-b044-e053-0a32095ab044로사유치원사립(법인)100060000<NA>0015020232서울특별시 성동구 성덕정길 23
28서울특별시교육청성동광진교육지원청442ef88e-43d6-4048-a12d-ed742301b58a서울동명초등학교병설유치원공립(병설)000120000<NA>4030020232서울특별시 성동구 마장로29길 29
29서울특별시교육청성동광진교육지원청907fd160-25a1-4048-8de4-27e545ebd656서울금호초등학교병설유치원공립(병설)010121001<NA>4030020232서울특별시 성동구 무수막길 69
30서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)000120003<NA>2032020232서울특별시 성동구 뚝섬로 332
31서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)000120000<NA>4021020232서울특별시 성동구 무학봉15길 21