Overview

Dataset statistics

Number of variables15
Number of observations36
Missing cells56
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory130.7 B

Variable types

Categorical5
Text3
Numeric5
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20688/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
법정일수이하여부 has constant value ""Constant
신설유치원여부 has constant value ""Constant
공시차수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
실립유형 is highly overall correlated with 혼합연령수업일수 and 1 other fieldsHigh correlation
특수학급수업일수 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 3세 수업일수 and 3 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 특수학급수업일수 and 1 other fieldsHigh correlation
특수학급수업일수 is highly imbalanced (68.8%)Imbalance
3세 수업일수 has 5 (13.9%) missing valuesMissing
4세 수업일수 has 5 (13.9%) missing valuesMissing
5세 수업일수 has 3 (8.3%) missing valuesMissing
혼합연령수업일수 has 29 (80.6%) missing valuesMissing
법정일수이하여부 has 7 (19.4%) missing valuesMissing
신설유치원여부 has 7 (19.4%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 07:50:59.678138
Analysis finished2024-03-13 07:51:02.632295
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
서울특별시교육청
36 

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 36
100.0%

Length

2024-03-13T16:51:02.685652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:51:02.765347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
북부교육지원청
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 36
100.0%

Length

2024-03-13T16:51:02.848611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:51:02.927399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:51:03.095995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1296
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

Unique36 ?
Unique (%)100.0%

Sample

1st row12c109c2-23b7-4e98-a3e1-57e391f3a55a
2nd row1ecec08c-ed87-b044-e053-0a32095ab044
3rd row1ecec08c-ee11-b044-e053-0a32095ab044
4th row1ecec08c-eecf-b044-e053-0a32095ab044
5th row1ecec08c-eed0-b044-e053-0a32095ab044
ValueCountFrequency (%)
12c109c2-23b7-4e98-a3e1-57e391f3a55a 1
 
2.8%
1ecec08c-ed87-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e2d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08cf-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-09d1-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0b9f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0ba6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0d3d-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0e36-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T16:51:03.449867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 721
55.6%
Lowercase Letter 431
33.3%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
27.9%
4 142
19.7%
3 76
 
10.5%
5 74
 
10.3%
1 53
 
7.4%
8 51
 
7.1%
9 48
 
6.7%
2 47
 
6.5%
6 15
 
2.1%
7 14
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
66.7%
Latin 431
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
23.2%
- 144
16.6%
4 142
16.4%
3 76
 
8.8%
5 74
 
8.6%
1 53
 
6.1%
8 51
 
5.9%
9 48
 
5.5%
2 47
 
5.4%
6 15
 
1.7%
Latin
ValueCountFrequency (%)
e 114
26.5%
c 95
22.0%
a 82
19.0%
b 76
17.6%
d 36
 
8.4%
f 28
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
15.5%
- 144
11.1%
4 142
11.0%
e 114
8.8%
c 95
 
7.3%
a 82
 
6.3%
3 76
 
5.9%
b 76
 
5.9%
5 74
 
5.7%
1 53
 
4.1%
Other values (7) 239
18.4%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:51:03.666506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.4444444
Min length5

Characters and Unicode

Total characters268
Distinct characters70
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울월천초등학교병설유치원
2nd row햇살유치원
3rd row행복한유치원
4th row선희유치원
5th row슬기유치원
ValueCountFrequency (%)
서울월천초등학교병설유치원 1
 
2.8%
햇살유치원 1
 
2.8%
나래유치원 1
 
2.8%
한사랑유치원 1
 
2.8%
솔샘유치원 1
 
2.8%
유화유치원 1
 
2.8%
서울신창초등학교병설유치원 1
 
2.8%
예그린유치원 1
 
2.8%
신창유치원 1
 
2.8%
지현유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T16:51:03.986411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 37
13.8%
치 36
13.4%
원 36
13.4%
학 12
 
4.5%
울 11
 
4.1%
서 11
 
4.1%
교 10
 
3.7%
등 9
 
3.4%
병 9
 
3.4%
설 9
 
3.4%
Other values (60) 88
32.8%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
22 
공립(병설)
9 
사립(법인)
3 
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 row사립(사인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 22
61.1%
공립(병설) 9
25.0%
사립(법인) 3
 
8.3%
공립(단설) 2
 
5.6%

Length

2024-03-13T16:51:04.098364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:51:04.186551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 22
61.1%
공립(병설 9
25.0%
사립(법인 3
 
8.3%
공립(단설 2
 
5.6%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)71.0%
Missing5
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean211.41935
Minimum180
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:51:04.280748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1183.5
median218
Q3228
95-th percentile237.5
Maximum242
Range62
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation21.419266
Coefficient of variation (CV)0.10131175
Kurtosis-1.3145024
Mean211.41935
Median Absolute Deviation (MAD)13
Skewness-0.46231856
Sum6554
Variance458.78495
MonotonicityNot monotonic
2024-03-13T16:51:04.379229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 3
 
8.3%
180 3
 
8.3%
223 2
 
5.6%
182 2
 
5.6%
221 2
 
5.6%
214 2
 
5.6%
228 2
 
5.6%
218 1
 
2.8%
236 1
 
2.8%
210 1
 
2.8%
Other values (12) 12
33.3%
(Missing) 5
13.9%
ValueCountFrequency (%)
180 3
8.3%
181 3
8.3%
182 2
5.6%
185 1
 
2.8%
200 1
 
2.8%
210 1
 
2.8%
212 1
 
2.8%
214 2
5.6%
217 1
 
2.8%
218 1
 
2.8%
ValueCountFrequency (%)
242 1
2.8%
238 1
2.8%
237 1
2.8%
236 1
2.8%
233 1
2.8%
231 1
2.8%
229 1
2.8%
228 2
5.6%
227 1
2.8%
223 2
5.6%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)71.0%
Missing5
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean210.35484
Minimum180
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:51:04.472987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1182
median218
Q3228
95-th percentile237.5
Maximum242
Range62
Interquartile range (IQR)46

Descriptive statistics

Standard deviation22.096076
Coefficient of variation (CV)0.10504192
Kurtosis-1.49969
Mean210.35484
Median Absolute Deviation (MAD)15
Skewness-0.35953008
Sum6521
Variance488.23656
MonotonicityNot monotonic
2024-03-13T16:51:04.568987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 4
 
11.1%
180 3
 
8.3%
228 2
 
5.6%
223 2
 
5.6%
182 2
 
5.6%
221 2
 
5.6%
242 1
 
2.8%
210 1
 
2.8%
227 1
 
2.8%
214 1
 
2.8%
Other values (12) 12
33.3%
(Missing) 5
13.9%
ValueCountFrequency (%)
180 3
8.3%
181 4
11.1%
182 2
5.6%
185 1
 
2.8%
200 1
 
2.8%
210 1
 
2.8%
212 1
 
2.8%
214 1
 
2.8%
217 1
 
2.8%
218 1
 
2.8%
ValueCountFrequency (%)
242 1
2.8%
238 1
2.8%
237 1
2.8%
236 1
2.8%
233 1
2.8%
231 1
2.8%
229 1
2.8%
228 2
5.6%
227 1
2.8%
223 2
5.6%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)72.7%
Missing3
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean209.06061
Minimum180
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:51:04.668884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1182
median218
Q3227
95-th percentile236.4
Maximum242
Range62
Interquartile range (IQR)45

Descriptive statistics

Standard deviation21.440236
Coefficient of variation (CV)0.10255512
Kurtosis-1.5190674
Mean209.06061
Median Absolute Deviation (MAD)13
Skewness-0.3016802
Sum6899
Variance459.68371
MonotonicityNot monotonic
2024-03-13T16:51:04.786238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
181 4
 
11.1%
180 3
 
8.3%
228 2
 
5.6%
221 2
 
5.6%
182 2
 
5.6%
218 2
 
5.6%
220 1
 
2.8%
183 1
 
2.8%
210 1
 
2.8%
226 1
 
2.8%
Other values (14) 14
38.9%
(Missing) 3
 
8.3%
ValueCountFrequency (%)
180 3
8.3%
181 4
11.1%
182 2
5.6%
183 1
 
2.8%
186 1
 
2.8%
200 1
 
2.8%
209 1
 
2.8%
210 1
 
2.8%
211 1
 
2.8%
213 1
 
2.8%
ValueCountFrequency (%)
242 1
2.8%
237 1
2.8%
236 1
2.8%
232 1
2.8%
231 1
2.8%
229 1
2.8%
228 2
5.6%
227 1
2.8%
226 1
2.8%
223 1
2.8%

혼합연령수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing29
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean203.28571
Minimum180
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:51:04.898294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180.3
Q1188.5
median209
Q3212
95-th percentile227.3
Maximum233
Range53
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation19.006265
Coefficient of variation (CV)0.093495328
Kurtosis-0.6102509
Mean203.28571
Median Absolute Deviation (MAD)13
Skewness0.13165903
Sum1423
Variance361.2381
MonotonicityNot monotonic
2024-03-13T16:51:04.987211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
209 1
 
2.8%
180 1
 
2.8%
196 1
 
2.8%
233 1
 
2.8%
214 1
 
2.8%
210 1
 
2.8%
181 1
 
2.8%
(Missing) 29
80.6%
ValueCountFrequency (%)
180 1
2.8%
181 1
2.8%
196 1
2.8%
209 1
2.8%
210 1
2.8%
214 1
2.8%
233 1
2.8%
ValueCountFrequency (%)
233 1
2.8%
214 1
2.8%
210 1
2.8%
209 1
2.8%
196 1
2.8%
181 1
2.8%
180 1
2.8%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
32 
181
 
1
183
 
1
182
 
1
180
 
1

Length

Max length4
Median length4
Mean length3.8888889
Min length3

Unique

Unique4 ?
Unique (%)11.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
88.9%
181 1
 
2.8%
183 1
 
2.8%
182 1
 
2.8%
180 1
 
2.8%

Length

2024-03-13T16:51:05.087118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:51:05.179539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
88.9%
181 1
 
2.8%
183 1
 
2.8%
182 1
 
2.8%
180 1
 
2.8%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.27778
Minimum196
Maximum296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T16:51:05.296522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196
5-th percentile209
Q1236
median248
Q3250
95-th percentile284.25
Maximum296
Range100
Interquartile range (IQR)14

Descriptive statistics

Standard deviation19.604097
Coefficient of variation (CV)0.080253298
Kurtosis2.6064288
Mean244.27778
Median Absolute Deviation (MAD)5.5
Skewness0.27951866
Sum8794
Variance384.32063
MonotonicityNot monotonic
2024-03-13T16:51:05.402726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
250 8
22.2%
236 4
 
11.1%
249 3
 
8.3%
251 2
 
5.6%
238 2
 
5.6%
232 2
 
5.6%
242 1
 
2.8%
240 1
 
2.8%
243 1
 
2.8%
253 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
196 1
 
2.8%
200 1
 
2.8%
212 1
 
2.8%
230 1
 
2.8%
231 1
 
2.8%
232 2
5.6%
236 4
11.1%
238 2
5.6%
240 1
 
2.8%
242 1
 
2.8%
ValueCountFrequency (%)
296 1
 
2.8%
294 1
 
2.8%
281 1
 
2.8%
253 1
 
2.8%
252 1
 
2.8%
251 2
 
5.6%
250 8
22.2%
249 3
 
8.3%
247 1
 
2.8%
244 1
 
2.8%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing7
Missing (%)19.4%
Memory size204.0 B
False
29 
(Missing)
7 
ValueCountFrequency (%)
False 29
80.6%
(Missing) 7
 
19.4%
2024-03-13T16:51:05.530389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing7
Missing (%)19.4%
Memory size204.0 B
False
29 
(Missing)
7 
ValueCountFrequency (%)
False 29
80.6%
(Missing) 7
 
19.4%
2024-03-13T16:51:05.602208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20231
28 
20181
5 
20191
 
2
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row20231
2nd row20231
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 28
77.8%
20181 5
 
13.9%
20191 2
 
5.6%
20211 1
 
2.8%

Length

2024-03-13T16:51:05.686014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:51:05.773945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 28
77.8%
20181 5
 
13.9%
20191 2
 
5.6%
20211 1
 
2.8%

주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T16:51:05.943031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.805556
Min length17

Characters and Unicode

Total characters677
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

Unique32 ?
Unique (%)88.9%

Sample

1st row서울특별시 도봉구 노해로70길 96
2nd row서울특별시 도봉구 우이천로32길 38
3rd row서울특별시 도봉구 시루봉로6길 86
4th row서울특별시 도봉구 해등로 241
5th row서울특별시 도봉구 도봉로180나길 33-29
ValueCountFrequency (%)
서울특별시 36
25.0%
도봉구 36
25.0%
해등로 5
 
3.5%
마들로 4
 
2.8%
96 2
 
1.4%
101 2
 
1.4%
시루봉로 2
 
1.4%
노해로 2
 
1.4%
567 2
 
1.4%
도당로6길 2
 
1.4%
Other values (50) 51
35.4%
2024-03-13T16:51:06.244497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.0%
봉 43
 
6.4%
도 42
 
6.2%
시 39
 
5.8%
서 36
 
5.3%
구 36
 
5.3%
울 36
 
5.3%
별 36
 
5.3%
특 36
 
5.3%
로 35
 
5.2%
Other values (33) 230
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
62.8%
Decimal Number 137
 
20.2%
Space Separator 108
 
16.0%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%
Decimal Number
ValueCountFrequency (%)
1 28
20.4%
6 21
15.3%
3 15
10.9%
2 14
10.2%
9 13
9.5%
4 12
8.8%
7 11
 
8.0%
0 10
 
7.3%
8 7
 
5.1%
5 6
 
4.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
62.8%
Common 252
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%
Common
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
62.8%
ASCII 252
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
42.9%
1 28
 
11.1%
6 21
 
8.3%
3 15
 
6.0%
2 14
 
5.6%
9 13
 
5.2%
4 12
 
4.8%
7 11
 
4.4%
0 10
 
4.0%
- 7
 
2.8%
Other values (2) 13
 
5.2%
Hangul
ValueCountFrequency (%)
봉 43
10.1%
도 42
9.9%
시 39
9.2%
서 36
8.5%
구 36
8.5%
울 36
8.5%
별 36
8.5%
특 36
8.5%
로 35
8.2%
길 19
 
4.5%
Other values (21) 67
15.8%

Interactions

2024-03-13T16:51:01.841771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.043801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.409885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.780298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.247272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.907000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.115513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.484350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.858266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.322277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.979498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.185181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.566975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.929548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.392729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:02.053372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.260651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.635717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.074190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.460957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:02.128103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.341941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:00.712114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.167208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T16:51:01.529340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T16:51:06.350721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.6260.6670.6381.0001.0000.2660.0000.000
3세 수업일수1.0001.0000.6261.0001.0000.9911.000NaN0.7150.9230.000
4세 수업일수1.0001.0000.6671.0001.0000.9910.000NaN0.7550.9070.000
5세 수업일수1.0001.0000.6380.9910.9911.0000.000NaN0.7540.8720.000
혼합연령수업일수1.0001.0001.0001.0000.0000.0001.000NaN1.0000.0001.000
특수학급수업일수1.0001.0001.000NaNNaNNaNNaN1.000NaNNaN1.000
방과후 과정수업일수1.0001.0000.2660.7150.7550.7541.000NaN1.0000.7520.000
공시차수1.0001.0000.0000.9230.9070.8720.000NaN0.7521.0000.000
주소1.0001.0000.0000.0000.0000.0001.0001.0000.0000.0001.000
2024-03-13T16:51:06.461294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수
공시차수1.0000.0001.000
실립유형0.0001.0001.000
특수학급수업일수1.0001.0001.000
2024-03-13T16:51:06.543814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수실립유형특수학급수업일수공시차수
3세 수업일수1.0001.0000.9881.000-0.0440.3431.0000.607
4세 수업일수1.0001.0000.9881.000-0.0630.3621.0000.579
5세 수업일수0.9880.9881.0001.000-0.0850.3401.0000.529
혼합연령수업일수1.0001.0001.0001.0000.0000.7070.0000.000
방과후 과정수업일수-0.044-0.063-0.0850.0001.0000.2571.0000.516
실립유형0.3430.3620.3400.7070.2571.0001.0000.000
특수학급수업일수1.0001.0001.0000.0001.0001.0001.0001.000
공시차수0.6070.5790.5290.0000.5160.0001.0001.000

Missing values

2024-03-13T16:51:02.232356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:51:02.403534image/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.
2024-03-13T16:51:02.534432image/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
0서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)180180180<NA><NA>249NN20231서울특별시 도봉구 노해로70길 96
1서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)231231231<NA><NA>231NN20231서울특별시 도봉구 우이천로32길 38
2서울특별시교육청북부교육지원청1ecec08c-ee11-b044-e053-0a32095ab044행복한유치원사립(사인)237237237<NA><NA>251NN20231서울특별시 도봉구 시루봉로6길 86
3서울특별시교육청북부교육지원청1ecec08c-eecf-b044-e053-0a32095ab044선희유치원사립(사인)218218218<NA><NA>238NN20231서울특별시 도봉구 해등로 241
4서울특별시교육청북부교육지원청1ecec08c-eed0-b044-e053-0a32095ab044슬기유치원사립(사인)228228228<NA><NA>250NN20231서울특별시 도봉구 도봉로180나길 33-29
5서울특별시교육청북부교육지원청1ecec08c-efcc-b044-e053-0a32095ab044보나유치원사립(사인)223223221<NA><NA>232NN20231서울특별시 도봉구 해등로 307
6서울특별시교육청북부교육지원청1ecec08c-efd9-b044-e053-0a32095ab044정의유치원사립(법인)238238228<NA><NA>238NN20231서울특별시 도봉구 노해로49길 69
7서울특별시교육청북부교육지원청1ecec08c-efda-b044-e053-0a32095ab044청아유치원사립(사인)221221221<NA><NA>247NN20231서울특별시 도봉구 노해로69가길 11
8서울특별시교육청북부교육지원청1ecec08c-f050-b044-e053-0a32095ab044예랑유치원사립(사인)223223223<NA><NA>294NN20211서울특별시 도봉구 해등로4길 9
9서울특별시교육청북부교육지원청1ecec08c-f404-b044-e053-0a32095ab044다솜유치원사립(사인)212212211<NA><NA>212<NA><NA>20181서울특별시 도봉구 해등로 195
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
26서울특별시교육청북부교육지원청1ecec08d-0e2d-b044-e053-0a32095ab044나래유치원사립(사인)227227226<NA><NA>236NN20231서울특별시 도봉구 마들로 684-9
27서울특별시교육청북부교육지원청1ecec08d-0e36-b044-e053-0a32095ab044지현유치원사립(사인)214<NA><NA>214<NA>243<NA><NA>20181서울특별시 도봉구 도봉산3길 21
28서울특별시교육청북부교육지원청1ecec08d-0ec5-b044-e053-0a32095ab044자연아이유치원사립(사인)210210210210<NA>240<NA><NA>20191서울특별시 도봉구 도당로6길 14-11
29서울특별시교육청북부교육지원청6a9d51ce-eb32-4ff3-b2c8-16baa768c7ed서울신학초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 도봉구 방학로 247-21
30서울특별시교육청북부교육지원청78c914ee-918a-42da-bb74-3214158a262e서울쌍문초등학교병설유치원공립(병설)<NA>181181<NA><NA>250NN20231서울특별시 도봉구 우이천로 360
31서울특별시교육청북부교육지원청86a6794b-12d6-4ee1-b47c-f03260e69af8서울가인초등학교병설유치원공립(병설)181<NA><NA>181<NA>249NN20231서울특별시 도봉구 도봉로136다길 4
32서울특별시교육청북부교육지원청90accaf4-0b0f-42a0-bf14-dabb5c82db9f서울방학유치원공립(단설)182182183<NA>183250NN20231서울특별시 도봉구 도당로6길 14-11
33서울특별시교육청북부교육지원청9274b95a-f964-4434-aa72-f188312b1983서울오봉초등학교병설유치원공립(병설)180180180<NA><NA>250NN20231서울특별시 도봉구 시루봉로 285
34서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)182182182<NA>182251NN20231서울특별시 도봉구 마들로 567
35서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)180180181<NA>180250NN20231서울특별시 도봉구 노해로 179