Overview

Dataset statistics

Number of variables15
Number of observations50
Missing cells83
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory129.6 B

Variable types

Categorical4
Text3
Numeric6
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20690/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
신설유치원여부 has constant value ""Constant
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
법정일수이하여부 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 4 other fieldsHigh correlation
4세 수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 5세 수업일수 and 3 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 법정일수이하여부High correlation
공시차수 is highly overall correlated with 혼합연령수업일수 and 2 other fieldsHigh correlation
실립유형 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
특수학급수업일수 is highly imbalanced (55.8%)Imbalance
법정일수이하여부 is highly imbalanced (84.1%)Imbalance
3세 수업일수 has 13 (26.0%) missing valuesMissing
4세 수업일수 has 8 (16.0%) missing valuesMissing
5세 수업일수 has 2 (4.0%) missing valuesMissing
혼합연령수업일수 has 44 (88.0%) missing valuesMissing
방과후 과정수업일수 has 1 (2.0%) missing valuesMissing
법정일수이하여부 has 7 (14.0%) missing valuesMissing
신설유치원여부 has 8 (16.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:40:52.007016
Analysis finished2024-03-13 06:40:55.568248
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서울특별시교육청
50 

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 50
100.0%

Length

2024-03-13T15:40:55.617509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:40:55.691584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 50
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서부교육지원청
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 50
100.0%

Length

2024-03-13T15:40:55.767439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:40:55.838533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 50
100.0%

유치원코드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T15:40:56.005818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
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

Unique50 ?
Unique (%)100.0%

Sample

1st row0783b5eb-4c00-4161-9c47-664336825e5a
2nd row1ecec08c-ed16-b044-e053-0a32095ab044
3rd row1ecec08c-ed89-b044-e053-0a32095ab044
4th row1ecec08c-ee12-b044-e053-0a32095ab044
5th row1ecec08c-ee13-b044-e053-0a32095ab044
ValueCountFrequency (%)
0783b5eb-4c00-4161-9c47-664336825e5a 1
 
2.0%
1ecec08d-06b5-b044-e053-0a32095ab044 1
 
2.0%
e120b286-7861-486d-9b3f-f3c7b49f3c1c 1
 
2.0%
1ecec08d-015d-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-015f-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-029e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-02b1-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-041e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ab-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ac-b044-e053-0a32095ab044 1
 
2.0%
Other values (40) 40
80.0%
2024-03-13T15:40:56.370007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
56.6%
Lowercase Letter 581
32.3%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
28.0%
4 202
19.8%
5 106
 
10.4%
3 105
 
10.3%
1 78
 
7.7%
9 70
 
6.9%
8 62
 
6.1%
2 62
 
6.1%
7 26
 
2.6%
6 23
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1219
67.7%
Latin 581
32.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
23.4%
4 202
16.6%
- 200
16.4%
5 106
 
8.7%
3 105
 
8.6%
1 78
 
6.4%
9 70
 
5.7%
8 62
 
5.1%
2 62
 
5.1%
7 26
 
2.1%
Latin
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

유치원명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T15:40:56.572880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.66
Min length4

Characters and Unicode

Total characters383
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

Unique50 ?
Unique (%)100.0%

Sample

1st row다우림유치원
2nd row서울연광초등학교병설유치원
3rd row궁전유치원
4th row성아유치원
5th row성균관유치원
ValueCountFrequency (%)
다우림유치원 1
 
2.0%
다우림명문유치원 1
 
2.0%
서울어울초등학교병설유치원 1
 
2.0%
백합유치원 1
 
2.0%
보림유치원 1
 
2.0%
서울수색초등학교병설유치원 1
 
2.0%
서울연신초등학교병설유치원 1
 
2.0%
엔젤유치원 1
 
2.0%
서문유치원 1
 
2.0%
서울은평초등학교병설유치원 1
 
2.0%
Other values (40) 40
80.0%
2024-03-13T15:40:56.892739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
울 20
 
5.2%
서 20
 
5.2%
설 13
 
3.4%
병 13
 
3.4%
교 13
 
3.4%
학 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
사립(사인)
24 
공립(병설)
13 
사립(법인)
8 
공립(단설)
5 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 24
48.0%
공립(병설) 13
26.0%
사립(법인) 8
 
16.0%
공립(단설) 5
 
10.0%

Length

2024-03-13T15:40:57.006258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:40:57.089994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 24
48.0%
공립(병설 13
26.0%
사립(법인 8
 
16.0%
공립(단설 5
 
10.0%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)56.8%
Missing13
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean202.97297
Minimum180
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:40:57.186048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median210
Q3218
95-th percentile226.2
Maximum232
Range52
Interquartile range (IQR)37

Descriptive statistics

Standard deviation18.109983
Coefficient of variation (CV)0.089223616
Kurtosis-1.5658228
Mean202.97297
Median Absolute Deviation (MAD)14
Skewness-0.1742343
Sum7510
Variance327.97147
MonotonicityNot monotonic
2024-03-13T15:40:57.291752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
180 9
18.0%
181 3
 
6.0%
221 3
 
6.0%
212 2
 
4.0%
223 2
 
4.0%
214 2
 
4.0%
211 2
 
4.0%
193 1
 
2.0%
213 1
 
2.0%
232 1
 
2.0%
Other values (11) 11
22.0%
(Missing) 13
26.0%
ValueCountFrequency (%)
180 9
18.0%
181 3
 
6.0%
193 1
 
2.0%
195 1
 
2.0%
196 1
 
2.0%
197 1
 
2.0%
207 1
 
2.0%
208 1
 
2.0%
210 1
 
2.0%
211 2
 
4.0%
ValueCountFrequency (%)
232 1
 
2.0%
227 1
 
2.0%
226 1
 
2.0%
225 1
 
2.0%
223 2
4.0%
221 3
6.0%
218 1
 
2.0%
217 1
 
2.0%
214 2
4.0%
213 1
 
2.0%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)52.4%
Missing8
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean200.38095
Minimum180
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:40:57.613353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median202
Q3216.25
95-th percentile225.95
Maximum232
Range52
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation18.411227
Coefficient of variation (CV)0.091881124
Kurtosis-1.6669434
Mean200.38095
Median Absolute Deviation (MAD)20.5
Skewness0.089327033
Sum8416
Variance338.97329
MonotonicityNot monotonic
2024-03-13T15:40:57.711339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
180 10
20.0%
181 5
10.0%
221 3
 
6.0%
212 2
 
4.0%
223 2
 
4.0%
211 2
 
4.0%
214 2
 
4.0%
182 2
 
4.0%
208 1
 
2.0%
227 1
 
2.0%
Other values (12) 12
24.0%
(Missing) 8
16.0%
ValueCountFrequency (%)
180 10
20.0%
181 5
10.0%
182 2
 
4.0%
193 1
 
2.0%
195 1
 
2.0%
196 1
 
2.0%
197 1
 
2.0%
207 1
 
2.0%
208 1
 
2.0%
210 1
 
2.0%
ValueCountFrequency (%)
232 1
 
2.0%
227 1
 
2.0%
226 1
 
2.0%
225 1
 
2.0%
223 2
4.0%
221 3
6.0%
218 1
 
2.0%
217 1
 
2.0%
214 2
4.0%
213 1
 
2.0%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)56.2%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean201.8125
Minimum177
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:40:57.811599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile180
Q1181
median207.5
Q3218
95-th percentile227.65
Maximum237
Range60
Interquartile range (IQR)37

Descriptive statistics

Standard deviation19.356297
Coefficient of variation (CV)0.095912279
Kurtosis-1.6041972
Mean201.8125
Median Absolute Deviation (MAD)18.5
Skewness0.072158673
Sum9687
Variance374.66622
MonotonicityNot monotonic
2024-03-13T15:40:57.909519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
181 8
16.0%
180 7
14.0%
182 3
 
6.0%
221 2
 
4.0%
214 2
 
4.0%
211 2
 
4.0%
212 2
 
4.0%
217 2
 
4.0%
226 2
 
4.0%
223 1
 
2.0%
Other values (17) 17
34.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
177 1
 
2.0%
180 7
14.0%
181 8
16.0%
182 3
 
6.0%
194 1
 
2.0%
195 1
 
2.0%
196 1
 
2.0%
197 1
 
2.0%
207 1
 
2.0%
208 1
 
2.0%
ValueCountFrequency (%)
237 1
2.0%
232 1
2.0%
228 1
2.0%
227 1
2.0%
226 2
4.0%
225 1
2.0%
224 1
2.0%
223 1
2.0%
222 1
2.0%
221 2
4.0%

혼합연령수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean219
Minimum177
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:40:58.007282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile187.25
Q1219
median224.5
Q3231.5
95-th percentile236
Maximum237
Range60
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation21.716353
Coefficient of variation (CV)0.099161431
Kurtosis4.0081785
Mean219
Median Absolute Deviation (MAD)7.5
Skewness-1.903269
Sum1314
Variance471.6
MonotonicityNot monotonic
2024-03-13T15:40:58.092237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
218 1
 
2.0%
227 1
 
2.0%
237 1
 
2.0%
177 1
 
2.0%
222 1
 
2.0%
233 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
177 1
2.0%
218 1
2.0%
222 1
2.0%
227 1
2.0%
233 1
2.0%
237 1
2.0%
ValueCountFrequency (%)
237 1
2.0%
233 1
2.0%
227 1
2.0%
222 1
2.0%
218 1
2.0%
177 1
2.0%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
42 
181
 
3
180
 
3
182
 
2

Length

Max length4
Median length4
Mean length3.84
Min length3

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> 42
84.0%
181 3
 
6.0%
180 3
 
6.0%
182 2
 
4.0%

Length

2024-03-13T15:40:58.240306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:40:58.354923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
84.0%
181 3
 
6.0%
180 3
 
6.0%
182 2
 
4.0%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)61.2%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean244.40816
Minimum164
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:40:58.463091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164
5-th percentile210
Q1232
median247
Q3250
95-th percentile297
Maximum300
Range136
Interquartile range (IQR)18

Descriptive statistics

Standard deviation25.600227
Coefficient of variation (CV)0.10474375
Kurtosis2.2243024
Mean244.40816
Median Absolute Deviation (MAD)9
Skewness-0.13562839
Sum11976
Variance655.3716
MonotonicityNot monotonic
2024-03-13T15:40:58.584768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
249 7
 
14.0%
250 4
 
8.0%
251 3
 
6.0%
299 2
 
4.0%
230 2
 
4.0%
240 2
 
4.0%
232 2
 
4.0%
229 2
 
4.0%
242 2
 
4.0%
247 2
 
4.0%
Other values (20) 21
42.0%
ValueCountFrequency (%)
164 1
2.0%
183 1
2.0%
210 2
4.0%
223 1
2.0%
226 1
2.0%
227 1
2.0%
229 2
4.0%
230 2
4.0%
231 1
2.0%
232 2
4.0%
ValueCountFrequency (%)
300 1
 
2.0%
299 2
 
4.0%
294 1
 
2.0%
285 1
 
2.0%
283 1
 
2.0%
274 1
 
2.0%
252 1
 
2.0%
251 3
6.0%
250 4
8.0%
249 7
14.0%

법정일수이하여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)4.7%
Missing7
Missing (%)14.0%
Memory size232.0 B
False
42 
True
 
1
(Missing)
7 
ValueCountFrequency (%)
False 42
84.0%
True 1
 
2.0%
(Missing) 7
 
14.0%
2024-03-13T15:40:58.724212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.4%
Missing8
Missing (%)16.0%
Memory size232.0 B
False
42 
(Missing)
8 
ValueCountFrequency (%)
False 42
84.0%
(Missing) 8
 
16.0%
2024-03-13T15:40:58.832209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.8
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-13T15:40:58.931165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20191
Q120223.5
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.608736
Coefficient of variation (CV)0.00077183854
Kurtosis1.342488
Mean20222.8
Median Absolute Deviation (MAD)0
Skewness-1.686889
Sum1011140
Variance243.63265
MonotonicityNot monotonic
2024-03-13T15:40:59.067021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 37
74.0%
20191 5
 
10.0%
20211 3
 
6.0%
20221 2
 
4.0%
20181 2
 
4.0%
20201 1
 
2.0%
ValueCountFrequency (%)
20181 2
 
4.0%
20191 5
 
10.0%
20201 1
 
2.0%
20211 3
 
6.0%
20221 2
 
4.0%
20231 37
74.0%
ValueCountFrequency (%)
20231 37
74.0%
20221 2
 
4.0%
20211 3
 
6.0%
20201 1
 
2.0%
20191 5
 
10.0%
20181 2
 
4.0%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-13T15:40:59.339152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.74
Min length16

Characters and Unicode

Total characters937
Distinct characters45
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

Unique44 ?
Unique (%)88.0%

Sample

1st row서울특별시 은평구 증산로21길 22
2nd row서울특별시 은평구 연서로35길 37
3rd row서울특별시 은평구 갈현로33길 24
4th row서울특별시 은평구 응암로14길 21
5th row서울특별시 은평구 연서로27길 23
ValueCountFrequency (%)
서울특별시 50
25.0%
은평구 50
25.0%
진관4로 3
 
1.5%
진관1로 3
 
1.5%
통일로 3
 
1.5%
갈현로 3
 
1.5%
21 2
 
1.0%
은평로16길 2
 
1.0%
20 2
 
1.0%
22 2
 
1.0%
Other values (69) 80
40.0%
2024-03-13T15:40:59.778633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
16.0%
서 58
 
6.2%
은 57
 
6.1%
평 57
 
6.1%
울 50
 
5.3%
특 50
 
5.3%
별 50
 
5.3%
시 50
 
5.3%
구 50
 
5.3%
로 49
 
5.2%
Other values (35) 316
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
62.5%
Decimal Number 185
 
19.7%
Space Separator 150
 
16.0%
Dash Punctuation 16
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Decimal Number
ValueCountFrequency (%)
1 46
24.9%
2 29
15.7%
3 25
13.5%
7 22
11.9%
5 19
10.3%
4 13
 
7.0%
0 10
 
5.4%
9 9
 
4.9%
6 9
 
4.9%
8 3
 
1.6%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
62.5%
Common 351
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Common
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
62.5%
ASCII 351
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
9 9
 
2.6%
Other values (2) 12
 
3.4%
Hangul
ValueCountFrequency (%)
서 58
9.9%
은 57
9.7%
평 57
9.7%
울 50
8.5%
특 50
8.5%
별 50
8.5%
시 50
8.5%
구 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%

Interactions

2024-03-13T15:40:54.700107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.395960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.844327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.247622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.676081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.199398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.769876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.463547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.912547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.312073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.738352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.276392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.839844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.563825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.978328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.378828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.820055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.352307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.912075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.635453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.047155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.455904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.960608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.441654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.984979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.698417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.108706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.529261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.048147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.527545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:55.061864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:52.776656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.180414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:53.602354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.127348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:40:54.619527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:40:59.865270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.8450.8660.7641.0000.2540.5560.0000.1190.000
3세 수업일수1.0001.0000.8451.0001.0000.913NaNNaN0.564NaN0.6070.916
4세 수업일수1.0001.0000.8661.0001.0000.919NaNNaN0.603NaN0.7100.955
5세 수업일수1.0001.0000.7640.9130.9191.0001.000NaN0.657NaN0.5370.946
혼합연령수업일수1.0001.0001.000NaNNaN1.0001.000NaN0.913NaN1.0001.000
특수학급수업일수1.0001.0000.254NaNNaNNaNNaN1.0000.000NaNNaN1.000
방과후 과정수업일수1.0001.0000.5560.5640.6030.6570.9130.0001.0001.0000.7130.989
법정일수이하여부1.0001.0000.000NaNNaNNaNNaNNaN1.0001.0001.0001.000
공시차수1.0001.0000.1190.6070.7100.5371.000NaN0.7131.0001.0000.000
주소1.0001.0000.0000.9160.9550.9461.0001.0000.9891.0000.0001.000
2024-03-13T15:40:59.987916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실립유형특수학급수업일수법정일수이하여부
실립유형1.0000.3280.000
특수학급수업일수0.3281.0001.000
법정일수이하여부0.0001.0001.000
2024-03-13T15:41:00.093276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수공시차수실립유형특수학급수업일수법정일수이하여부
3세 수업일수1.0001.0000.991NaN-0.144-0.1720.5301.0001.000
4세 수업일수1.0001.0000.988NaN-0.244-0.2420.5511.0001.000
5세 수업일수0.9910.9881.0001.000-0.055-0.2750.5491.0000.000
혼합연령수업일수NaNNaN1.0001.0000.3710.8120.5000.0000.707
방과후 과정수업일수-0.144-0.244-0.0550.3711.0000.0370.3810.0000.935
공시차수-0.172-0.242-0.2750.8120.0371.0000.0471.0000.975
실립유형0.5300.5510.5490.5000.3810.0471.0000.3280.000
특수학급수업일수1.0001.0001.0000.0000.0001.0000.3281.0001.000
법정일수이하여부1.0001.0000.0000.7070.9350.9750.0001.0001.000

Missing values

2024-03-13T15:40:55.165037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:40:55.347199image/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.
2024-03-13T15:40:55.485006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
0서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)221221221<NA><NA>299NN20221서울특별시 은평구 증산로21길 22
1서울특별시교육청서부교육지원청1ecec08c-ed16-b044-e053-0a32095ab044서울연광초등학교병설유치원공립(병설)180180180<NA><NA>249NN20231서울특별시 은평구 연서로35길 37
2서울특별시교육청서부교육지원청1ecec08c-ed89-b044-e053-0a32095ab044궁전유치원사립(사인)210210210<NA><NA>210<NA><NA>20181서울특별시 은평구 갈현로33길 24
3서울특별시교육청서부교육지원청1ecec08c-ee12-b044-e053-0a32095ab044성아유치원사립(사인)207207207<NA><NA>223NN20231서울특별시 은평구 응암로14길 21
4서울특별시교육청서부교육지원청1ecec08c-ee13-b044-e053-0a32095ab044성균관유치원사립(사인)217217216<NA><NA>235NN20231서울특별시 은평구 연서로27길 23
5서울특별시교육청서부교육지원청1ecec08c-ee3d-b044-e053-0a32095ab044동산유치원사립(법인)226226226<NA><NA>251NN20231서울특별시 은평구 증산서길 53-9
6서울특별시교육청서부교육지원청1ecec08c-eed7-b044-e053-0a32095ab044서울신도초등학교병설유치원공립(병설)<NA>181181<NA>181242NN20231서울특별시 은평구 진관1로 77-23
7서울특별시교육청서부교육지원청1ecec08c-f13b-b044-e053-0a32095ab044서울진관유치원공립(단설)180180181<NA>180250NN20231서울특별시 은평구 진관2로 111-16
8서울특별시교육청서부교육지원청1ecec08c-f13c-b044-e053-0a32095ab044서울은빛유치원공립(단설)180180180<NA>180248NN20231서울특별시 은평구 진관3로 73-11
9서울특별시교육청서부교육지원청1ecec08c-f19a-b044-e053-0a32095ab044선일유치원사립(법인)208208208<NA><NA>226NN20231서울특별시 은평구 갈현로29길 27
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
40서울특별시교육청서부교육지원청1ecec08d-09db-b044-e053-0a32095ab044바다의별유치원사립(법인)213213213<NA><NA>230NN20231서울특별시 은평구 통일로 790-1
41서울특별시교육청서부교육지원청1ecec08d-0ba5-b044-e053-0a32095ab044숲유치원사립(사인)211211211<NA><NA>164NN20231서울특별시 은평구 진관2로 37
42서울특별시교육청서부교육지원청1ecec08d-0e41-b044-e053-0a32095ab044새보람유치원사립(사인)<NA><NA><NA>233<NA>285NN20231서울특별시 은평구 불광로 107
43서울특별시교육청서부교육지원청799c1c12-8e72-44b1-80ba-84c6907a6037서울불광초등학교병설유치원공립(병설)180180180<NA><NA>247NN20231서울특별시 은평구 불광로 51
44서울특별시교육청서부교육지원청7a2cc871-7f4c-4c45-b4a9-5610093f33fa서울응암초등학교병설유치원공립(병설)181181181<NA>181251NN20231서울특별시 은평구 가좌로6길 20
45서울특별시교육청서부교육지원청a4246c73-08e0-4da3-8211-ad2976de52ea은평하랑유치원사립(사인)221221<NA><NA><NA>232NN20231서울특별시 은평구 은평로16길 9-1
46서울특별시교육청서부교육지원청abfb8257-6e64-417e-9fb4-1e145a31f5fe서울산울림유치원공립(단설)181181182<NA>182249NN20231서울특별시 은평구 진관4로 93
47서울특별시교육청서부교육지원청ccb06417-04c0-411a-b29e-6ff1a22fabab서울북한산유치원공립(단설)180180181<NA>180240NN20231서울특별시 은평구 진관1로 77-15
48서울특별시교육청서부교육지원청e120b286-7861-486d-9b3f-f3c7b49f3c1c서울어울초등학교병설유치원공립(병설)180180181<NA><NA>247NN20231서울특별시 은평구 통일로 650
49서울특별시교육청서부교육지원청e7796971-1ca3-445b-a672-a03730995574서울역촌유치원공립(단설)<NA><NA>181<NA>181249NN20231서울특별시 은평구 진흥로7길 25