Overview

Dataset statistics

Number of variables22
Number of observations48
Missing cells48
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory194.8 B

Variable types

Categorical12
Text3
Numeric6
Unsupported1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,원장수,원감수,수석교사수,보직교사수,일반교사수,특수교사수,보건교사수,영양교사수,기간제교사수,강사수,사무직원수,수석교사자격수,공정교사1급자격수,정교사2급자격수,준교사자격수,공시차수,주소
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20668/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
수석교사수 has constant value ""Constant
보건교사수 has constant value ""Constant
수석교사자격수 has constant value ""Constant
특수교사수 is highly imbalanced (56.7%)Imbalance
영양교사수 is highly imbalanced (75.0%)Imbalance
준교사자격수 is highly imbalanced (85.4%)Imbalance
강사수 has 48 (100.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
강사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기간제교사수 has 38 (79.2%) zerosZeros
사무직원수 has 10 (20.8%) zerosZeros
공정교사1급자격수 has 5 (10.4%) zerosZeros
정교사2급자격수 has 4 (8.3%) zerosZeros

Reproduction

Analysis started2024-03-13 14:11:17.864171
Analysis finished2024-03-13 14:11:18.105215
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울특별시교육청
48 

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 48
100.0%

Length

2024-03-13T23:11:18.162980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:18.248684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 48
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
강서양천교육지원청
48 

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 48
100.0%

Length

2024-03-13T23:11:18.408465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:18.556354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

유치원코드
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T23:11:18.769706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1728
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

Unique48 ?
Unique (%)100.0%

Sample

1st row1dfcc6e7-c6ff-4843-b970-cfba072320b4
2nd row1ecec08c-ed7f-b044-e053-0a32095ab044
3rd row1ecec08c-ed80-b044-e053-0a32095ab044
4th row1ecec08c-ed81-b044-e053-0a32095ab044
5th row1ecec08c-eec5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1dfcc6e7-c6ff-4843-b970-cfba072320b4 1
 
2.1%
1ecec08c-ed7f-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-08bb-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0120-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0121-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-018d-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-02b0-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-04c8-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054c-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054d-b044-e053-0a32095ab044 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T23:11:19.106134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
56.0%
Lowercase Letter 569
32.9%
Dash Punctuation 192
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
30.4%
4 192
19.9%
5 104
 
10.8%
3 99
 
10.2%
8 66
 
6.8%
9 63
 
6.5%
2 58
 
6.0%
1 58
 
6.0%
6 20
 
2.1%
7 13
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
67.1%
Latin 569
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 294
25.4%
4 192
16.6%
- 192
16.6%
5 104
 
9.0%
3 99
 
8.5%
8 66
 
5.7%
9 63
 
5.4%
2 58
 
5.0%
1 58
 
5.0%
6 20
 
1.7%
Latin
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

유치원명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T23:11:19.368278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.3125
Min length5

Characters and Unicode

Total characters351
Distinct characters66
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

Unique48 ?
Unique (%)100.0%

Sample

1st row서울강월초등학교병설유치원
2nd row새서울유치원
3rd row샘터유치원
4th row서울경인유치원
5th row솔샘유치원
ValueCountFrequency (%)
서울강월초등학교병설유치원 1
 
2.1%
새서울유치원 1
 
2.1%
한서유치원 1
 
2.1%
성보유치원 1
 
2.1%
어린이의정원유치원 1
 
2.1%
광영유치원 1
 
2.1%
서울강신초등학교병설유치원 1
 
2.1%
레인보우유치원 1
 
2.1%
세화유치원 1
 
2.1%
양서유치원 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T23:11:19.719090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
14.5%
48
13.7%
48
13.7%
18
 
5.1%
15
 
4.3%
14
 
4.0%
12
 
3.4%
12
 
3.4%
12
 
3.4%
12
 
3.4%
Other values (56) 109
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
14.5%
48
13.7%
48
13.7%
18
 
5.1%
15
 
4.3%
14
 
4.0%
12
 
3.4%
12
 
3.4%
12
 
3.4%
12
 
3.4%
Other values (56) 109
31.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
14.5%
48
13.7%
48
13.7%
18
 
5.1%
15
 
4.3%
14
 
4.0%
12
 
3.4%
12
 
3.4%
12
 
3.4%
12
 
3.4%
Other values (56) 109
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
51
14.5%
48
13.7%
48
13.7%
18
 
5.1%
15
 
4.3%
14
 
4.0%
12
 
3.4%
12
 
3.4%
12
 
3.4%
12
 
3.4%
Other values (56) 109
31.1%

설립유형
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
사립(사인)
29 
공립(병설)
12 
사립(법인)
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 row사립(사인)
4th row공립(단설)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 29
60.4%
공립(병설) 12
25.0%
사립(법인) 5
 
10.4%
공립(단설) 2
 
4.2%

Length

2024-03-13T23:11:19.833260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:19.942470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 29
60.4%
공립(병설 12
25.0%
사립(법인 5
 
10.4%
공립(단설 2
 
4.2%

원장수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
36 
0
12 

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 36
75.0%
0 12
 
25.0%

Length

2024-03-13T23:11:20.061303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:20.144958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
75.0%
0 12
 
25.0%

원감수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
28 
0
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
58.3%
0 20
41.7%

Length

2024-03-13T23:11:20.249618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:20.336566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
58.3%
0 20
41.7%

수석교사수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
48 

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 48
100.0%

Length

2024-03-13T23:11:20.437105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:20.518185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
100.0%

보직교사수
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
32 
1
12 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 32
66.7%
1 12
 
25.0%
2 4
 
8.3%

Length

2024-03-13T23:11:20.685310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:20.840795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
66.7%
1 12
 
25.0%
2 4
 
8.3%

일반교사수
Real number (ℝ)

Distinct15
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6458333
Minimum2
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T23:11:20.926359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q39
95-th percentile15.3
Maximum17
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.1487736
Coefficient of variation (CV)0.62426688
Kurtosis-0.017578594
Mean6.6458333
Median Absolute Deviation (MAD)2
Skewness0.94908821
Sum319
Variance17.212323
MonotonicityNot monotonic
2024-03-13T23:11:21.028426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 8
16.7%
4 7
14.6%
5 6
12.5%
2 5
10.4%
8 3
 
6.2%
7 3
 
6.2%
9 3
 
6.2%
6 2
 
4.2%
13 2
 
4.2%
10 2
 
4.2%
Other values (5) 7
14.6%
ValueCountFrequency (%)
2 5
10.4%
3 8
16.7%
4 7
14.6%
5 6
12.5%
6 2
 
4.2%
7 3
 
6.2%
8 3
 
6.2%
9 3
 
6.2%
10 2
 
4.2%
11 2
 
4.2%
ValueCountFrequency (%)
17 1
 
2.1%
16 2
4.2%
14 1
 
2.1%
13 2
4.2%
12 1
 
2.1%
11 2
4.2%
10 2
4.2%
9 3
6.2%
8 3
6.2%
7 3
6.2%

특수교사수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
41 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 41
85.4%
1 6
 
12.5%
2 1
 
2.1%

Length

2024-03-13T23:11:21.166786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:21.254937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
85.4%
1 6
 
12.5%
2 1
 
2.1%

보건교사수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
48 

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 48
100.0%

Length

2024-03-13T23:11:21.369718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:21.448517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
100.0%

영양교사수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
46 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
95.8%
1 2
 
4.2%

Length

2024-03-13T23:11:21.532290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:21.638707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
95.8%
1 2
 
4.2%

기간제교사수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64583333
Minimum0
Maximum7
Zeros38
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T23:11:21.723470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5910599
Coefficient of variation (CV)2.4635766
Kurtosis7.2603969
Mean0.64583333
Median Absolute Deviation (MAD)0
Skewness2.7646377
Sum31
Variance2.5314716
MonotonicityNot monotonic
2024-03-13T23:11:21.819381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 38
79.2%
1 4
 
8.3%
4 2
 
4.2%
3 2
 
4.2%
7 1
 
2.1%
6 1
 
2.1%
ValueCountFrequency (%)
0 38
79.2%
1 4
 
8.3%
3 2
 
4.2%
4 2
 
4.2%
6 1
 
2.1%
7 1
 
2.1%
ValueCountFrequency (%)
7 1
 
2.1%
6 1
 
2.1%
4 2
 
4.2%
3 2
 
4.2%
1 4
 
8.3%
0 38
79.2%

강사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

사무직원수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4375
Minimum0
Maximum20
Zeros10
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T23:11:21.926251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile11.95
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.2870724
Coefficient of variation (CV)1.2471483
Kurtosis4.9269855
Mean3.4375
Median Absolute Deviation (MAD)2
Skewness2.0894286
Sum165
Variance18.378989
MonotonicityNot monotonic
2024-03-13T23:11:22.037179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 13
27.1%
0 10
20.8%
3 5
 
10.4%
2 4
 
8.3%
4 3
 
6.2%
6 3
 
6.2%
7 2
 
4.2%
5 2
 
4.2%
8 2
 
4.2%
20 1
 
2.1%
Other values (3) 3
 
6.2%
ValueCountFrequency (%)
0 10
20.8%
1 13
27.1%
2 4
 
8.3%
3 5
 
10.4%
4 3
 
6.2%
5 2
 
4.2%
6 3
 
6.2%
7 2
 
4.2%
8 2
 
4.2%
10 1
 
2.1%
ValueCountFrequency (%)
20 1
 
2.1%
16 1
 
2.1%
13 1
 
2.1%
10 1
 
2.1%
8 2
 
4.2%
7 2
 
4.2%
6 3
6.2%
5 2
 
4.2%
4 3
6.2%
3 5
10.4%

수석교사자격수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
48 

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 48
100.0%

Length

2024-03-13T23:11:22.143507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:22.215797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
100.0%

공정교사1급자격수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0833333
Minimum0
Maximum14
Zeros5
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T23:11:22.294158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile6
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4653629
Coefficient of variation (CV)0.79957715
Kurtosis7.0665208
Mean3.0833333
Median Absolute Deviation (MAD)1
Skewness1.9358463
Sum148
Variance6.0780142
MonotonicityNot monotonic
2024-03-13T23:11:22.388522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 9
18.8%
2 8
16.7%
4 8
16.7%
1 8
16.7%
0 5
10.4%
5 5
10.4%
6 3
 
6.2%
14 1
 
2.1%
8 1
 
2.1%
ValueCountFrequency (%)
0 5
10.4%
1 8
16.7%
2 8
16.7%
3 9
18.8%
4 8
16.7%
5 5
10.4%
6 3
 
6.2%
8 1
 
2.1%
14 1
 
2.1%
ValueCountFrequency (%)
14 1
 
2.1%
8 1
 
2.1%
6 3
 
6.2%
5 5
10.4%
4 8
16.7%
3 9
18.8%
2 8
16.7%
1 8
16.7%
0 5
10.4%

정교사2급자격수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1458333
Minimum0
Maximum11
Zeros4
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T23:11:22.504704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile8
Maximum11
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8208161
Coefficient of variation (CV)0.68039786
Kurtosis-0.81531626
Mean4.1458333
Median Absolute Deviation (MAD)2
Skewness0.39688099
Sum199
Variance7.9570035
MonotonicityNot monotonic
2024-03-13T23:11:22.692574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 10
20.8%
4 6
12.5%
8 6
12.5%
3 5
10.4%
7 5
10.4%
0 4
 
8.3%
1 4
 
8.3%
5 3
 
6.2%
6 3
 
6.2%
9 1
 
2.1%
ValueCountFrequency (%)
0 4
 
8.3%
1 4
 
8.3%
2 10
20.8%
3 5
10.4%
4 6
12.5%
5 3
 
6.2%
6 3
 
6.2%
7 5
10.4%
8 6
12.5%
9 1
 
2.1%
ValueCountFrequency (%)
11 1
 
2.1%
9 1
 
2.1%
8 6
12.5%
7 5
10.4%
6 3
 
6.2%
5 3
 
6.2%
4 6
12.5%
3 5
10.4%
2 10
20.8%
1 4
 
8.3%

준교사자격수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
47 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 47
97.9%
2 1
 
2.1%

Length

2024-03-13T23:11:22.798999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:11:22.931091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
97.9%
2 1
 
2.1%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.646
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-13T23:11:23.038033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.339525
Coefficient of variation (CV)0.00085738869
Kurtosis1.233032
Mean20223.646
Median Absolute Deviation (MAD)0
Skewness-1.7323276
Sum970735
Variance300.65913
MonotonicityNot monotonic
2024-03-13T23:11:23.159276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20232 38
79.2%
20182 4
 
8.3%
20192 3
 
6.2%
20202 1
 
2.1%
20191 1
 
2.1%
20222 1
 
2.1%
ValueCountFrequency (%)
20182 4
 
8.3%
20191 1
 
2.1%
20192 3
 
6.2%
20202 1
 
2.1%
20222 1
 
2.1%
20232 38
79.2%
ValueCountFrequency (%)
20232 38
79.2%
20222 1
 
2.1%
20202 1
 
2.1%
20192 3
 
6.2%
20191 1
 
2.1%
20182 4
 
8.3%

주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T23:11:23.376443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.041667
Min length16

Characters and Unicode

Total characters914
Distinct characters43
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

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 양천구 신월로 97
2nd row서울특별시 양천구 목동서로 340
3rd row서울특별시 양천구 신월로 99
4th row서울특별시 양천구 안양천로 1009
5th row서울특별시 양천구 목동서로 130
ValueCountFrequency (%)
서울특별시 48
25.0%
양천구 48
25.0%
목동서로 5
 
2.6%
목동동로 4
 
2.1%
22 3
 
1.6%
30 3
 
1.6%
130 2
 
1.0%
280 2
 
1.0%
13 2
 
1.0%
38 2
 
1.0%
Other values (67) 73
38.0%
2024-03-13T23:11:23.754343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
15.8%
54
 
5.9%
49
 
5.4%
49
 
5.4%
48
 
5.3%
48
 
5.3%
48
 
5.3%
48
 
5.3%
48
 
5.3%
48
 
5.3%
Other values (33) 330
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
66.0%
Decimal Number 160
 
17.5%
Space Separator 144
 
15.8%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
9.0%
49
 
8.1%
49
 
8.1%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
31
 
5.1%
Other values (21) 132
21.9%
Decimal Number
ValueCountFrequency (%)
1 28
17.5%
2 27
16.9%
3 22
13.8%
0 22
13.8%
4 13
8.1%
8 12
7.5%
9 11
 
6.9%
7 10
 
6.2%
6 8
 
5.0%
5 7
 
4.4%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
66.0%
Common 311
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
54
9.0%
49
 
8.1%
49
 
8.1%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
31
 
5.1%
Other values (21) 132
21.9%
Common
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
66.0%
ASCII 311
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%
Hangul
ValueCountFrequency (%)
54
9.0%
49
 
8.1%
49
 
8.1%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
48
 
8.0%
31
 
5.1%
Other values (21) 132
21.9%

Sample

교육청명교육지원청명유치원코드유치원명설립유형원장수원감수수석교사수보직교사수일반교사수특수교사수보건교사수영양교사수기간제교사수강사수사무직원수수석교사자격수공정교사1급자격수정교사2급자격수준교사자격수공시차수주소
0서울특별시교육청강서양천교육지원청1dfcc6e7-c6ff-4843-b970-cfba072320b4서울강월초등학교병설유치원공립(병설)000130000<NA>4022020232서울특별시 양천구 신월로 97
1서울특별시교육청강서양천교육지원청1ecec08c-ed7f-b044-e053-0a32095ab044새서울유치원사립(사인)100040000<NA>1000020232서울특별시 양천구 목동서로 340
2서울특별시교육청강서양천교육지원청1ecec08c-ed80-b044-e053-0a32095ab044샘터유치원사립(사인)110080010<NA>0035020232서울특별시 양천구 신월로 99
3서울특별시교육청강서양천교육지원청1ecec08c-ed81-b044-e053-0a32095ab044서울경인유치원공립(단설)110231007<NA>7052020232서울특별시 양천구 안양천로 1009
4서울특별시교육청강서양천교육지원청1ecec08c-eec5-b044-e053-0a32095ab044솔샘유치원사립(사인)110060000<NA>0042020182서울특별시 양천구 목동서로 130
5서울특별시교육청강서양천교육지원청1ecec08c-ef9b-b044-e053-0a32095ab044서울월촌초등학교병설유치원공립(병설)010050004<NA>1045020232서울특별시 양천구 목동중앙로 132
6서울특별시교육청강서양천교육지원청1ecec08c-ef9d-b044-e053-0a32095ab044솔밭유치원사립(사인)100040000<NA>0013020182서울특별시 양천구 신월로10길 2-1
7서울특별시교육청강서양천교육지원청1ecec08c-f320-b044-e053-0a32095ab044원일유치원사립(법인)110180000<NA>0062020232서울특별시 양천구 목동동로 350
8서울특별시교육청강서양천교육지원청1ecec08c-f3d6-b044-e053-0a32095ab044서울영도초등학교병설유치원공립(병설)010140000<NA>5041020232서울특별시 양천구 목동중앙로 70
9서울특별시교육청강서양천교육지원청1ecec08c-f448-b044-e053-0a32095ab044대한유치원사립(사인)100030000<NA>0012020202서울특별시 양천구 오목로13길 31
교육청명교육지원청명유치원코드유치원명설립유형원장수원감수수석교사수보직교사수일반교사수특수교사수보건교사수영양교사수기간제교사수강사수사무직원수수석교사자격수공정교사1급자격수정교사2급자격수준교사자격수공시차수주소
38서울특별시교육청강서양천교육지원청1ecec08d-0c03-b044-e053-0a32095ab044빛나유치원사립(사인)100090000<NA>3027020232서울특별시 양천구 목동로 212
39서울특별시교육청강서양천교육지원청1ecec08d-0c04-b044-e053-0a32095ab044서울신기초등학교병설유치원공립(병설)010131000<NA>6031020232서울특별시 양천구 신정로 292
40서울특별시교육청강서양천교육지원청1ecec08d-0e6c-b044-e053-0a32095ab044경성유치원사립(사인)1100100001<NA>3038020232서울특별시 양천구 목동로3길 57
41서울특별시교육청강서양천교육지원청1ecec08d-0e6d-b044-e053-0a32095ab044등촌유치원사립(사인)100050000<NA>1032020232서울특별시 양천구 목동중앙북로8길 46
42서울특별시교육청강서양천교육지원청1ecec08d-0ef0-b044-e053-0a32095ab044꿈나무유치원사립(사인)1100160000<NA>8088020232서울특별시 양천구 목동서로 280
43서울특별시교육청강서양천교육지원청1fc6dd86-cccf-d1d2-e053-0a32095ad1d2목동유치원사립(사인)1000120000<NA>6066020232서울특별시 양천구 오목로42길 13
44서울특별시교육청강서양천교육지원청8abcadee-6df5-4c85-9e38-cba5a2d519a5서울양동초등학교병설유치원공립(병설)010131003<NA>2043020232서울특별시 양천구 오목로23길 24
45서울특별시교육청강서양천교육지원청9c26aa7f-0f07-4613-9136-4984c723803f꿈꾸는유치원사립(사인)100090010<NA>1018020232서울특별시 양천구 오목로4길 8
46서울특별시교육청강서양천교육지원청a59a057e-4f5c-411a-bb2a-60068691c766세신유치원사립(법인)110080000<NA>10044020232서울특별시 양천구 목동동로1길 38
47서울특별시교육청강서양천교육지원청d72d2e90-cf0d-4a9b-8697-a47e692aa3ea서울신정유치원공립(단설)110262000<NA>16044020232서울특별시 양천구 신정로7길 81-4