Overview

Dataset statistics

Number of variables15
Number of observations61
Missing cells33
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory129.2 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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20694/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
실립유형 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 3세 수업일수 and 3 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 3 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 혼합연령수업일수 and 1 other fieldsHigh correlation
공시차수 is highly overall correlated with 혼합연령수업일수 and 1 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
혼합연령수업일수 is highly imbalanced (76.8%)Imbalance
특수학급수업일수 is highly imbalanced (56.4%)Imbalance
3세 수업일수 has 8 (13.1%) missing valuesMissing
4세 수업일수 has 6 (9.8%) missing valuesMissing
5세 수업일수 has 4 (6.6%) missing valuesMissing
방과후 과정수업일수 has 1 (1.6%) missing valuesMissing
법정일수이하여부 has 7 (11.5%) missing valuesMissing
신설유치원여부 has 7 (11.5%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 09:33:01.475599
Analysis finished2024-03-13 09:33:04.164123
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
서울특별시교육청
61 

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 61
100.0%

Length

2024-03-13T18:33:04.216395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:33:04.293683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 61
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강서양천교육지원청
61 

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 61
100.0%

Length

2024-03-13T18:33:04.618252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:33:04.691883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

유치원코드
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T18:33:04.857093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2196
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

Unique61 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed82-b044-e053-0a32095ab044
2nd row1ecec08c-eec6-b044-e053-0a32095ab044
3rd row1ecec08c-eec7-b044-e053-0a32095ab044
4th row1ecec08c-ef9c-b044-e053-0a32095ab044
5th row1ecec08c-f199-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed82-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-04c7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-05b9-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-06b7-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08ba-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08bd-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0993-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-09f0-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0b2b-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0c02-b044-e053-0a32095ab044 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T18:33:05.172352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1226
55.8%
Lowercase Letter 726
33.1%
Dash Punctuation 244
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
26.5%
4 218
17.8%
5 138
11.3%
3 131
10.7%
8 88
 
7.2%
9 87
 
7.1%
1 81
 
6.6%
2 78
 
6.4%
7 44
 
3.6%
6 36
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
66.9%
Latin 726
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
22.1%
- 244
16.6%
4 218
14.8%
5 138
9.4%
3 131
8.9%
8 88
 
6.0%
9 87
 
5.9%
1 81
 
5.5%
2 78
 
5.3%
7 44
 
3.0%
Latin
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
d 63
 
8.7%
f 63
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

유치원명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T18:33:05.394108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.4098361
Min length5

Characters and Unicode

Total characters452
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

Unique61 ?
Unique (%)100.0%

Sample

1st row서울공항초등학교병설유치원
2nd row한나유치원
3rd row화곡유치원
4th row선미유치원
5th row서울공진초등학교병설유치원
ValueCountFrequency (%)
서울공항초등학교병설유치원 1
 
1.6%
동그라미유치원 1
 
1.6%
등촌제일유치원 1
 
1.6%
미래클유치원 1
 
1.6%
장미유치원 1
 
1.6%
홍신유치원 1
 
1.6%
아람유치원 1
 
1.6%
서울화일초등학교병설유치원 1
 
1.6%
윤서유치원 1
 
1.6%
미도유치원 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T18:33:05.792469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
설 15
 
3.3%
병 15
 
3.3%
교 15
 
3.3%
학 15
 
3.3%
Other values (73) 147
32.5%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
사립(사인)
39 
공립(병설)
15 
사립(법인)
4 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 39
63.9%
공립(병설) 15
 
24.6%
사립(법인) 4
 
6.6%
공립(단설) 3
 
4.9%

Length

2024-03-13T18:33:05.915399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:33:06.013856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 39
63.9%
공립(병설 15
 
24.6%
사립(법인 4
 
6.6%
공립(단설 3
 
4.9%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)41.5%
Missing8
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean209.45283
Minimum180
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:33:06.111641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median220
Q3225
95-th percentile230.4
Maximum241
Range61
Interquartile range (IQR)44

Descriptive statistics

Standard deviation20.674739
Coefficient of variation (CV)0.098708331
Kurtosis-1.4698056
Mean209.45283
Median Absolute Deviation (MAD)8
Skewness-0.55461966
Sum11101
Variance427.44485
MonotonicityNot monotonic
2024-03-13T18:33:06.225687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 9
14.8%
224 5
 
8.2%
180 5
 
8.2%
225 4
 
6.6%
229 3
 
4.9%
182 3
 
4.9%
226 3
 
4.9%
222 3
 
4.9%
220 3
 
4.9%
227 2
 
3.3%
Other values (12) 13
21.3%
(Missing) 8
13.1%
ValueCountFrequency (%)
180 5
8.2%
181 9
14.8%
182 3
 
4.9%
200 1
 
1.6%
210 1
 
1.6%
212 1
 
1.6%
213 1
 
1.6%
216 1
 
1.6%
217 1
 
1.6%
218 2
 
3.3%
ValueCountFrequency (%)
241 1
 
1.6%
232 1
 
1.6%
231 1
 
1.6%
230 1
 
1.6%
229 3
4.9%
227 2
 
3.3%
226 3
4.9%
225 4
6.6%
224 5
8.2%
223 1
 
1.6%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)40.0%
Missing6
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean210.03636
Minimum180
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:33:06.333464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181.5
median220
Q3225
95-th percentile231
Maximum241
Range61
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation20.538098
Coefficient of variation (CV)0.097783534
Kurtosis-1.3928968
Mean210.03636
Median Absolute Deviation (MAD)8
Skewness-0.60741912
Sum11552
Variance421.81347
MonotonicityNot monotonic
2024-03-13T18:33:06.439519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 9
14.8%
225 5
 
8.2%
180 5
 
8.2%
224 4
 
6.6%
229 3
 
4.9%
182 3
 
4.9%
226 3
 
4.9%
222 3
 
4.9%
220 3
 
4.9%
218 3
 
4.9%
Other values (12) 14
23.0%
(Missing) 6
9.8%
ValueCountFrequency (%)
180 5
8.2%
181 9
14.8%
182 3
 
4.9%
200 1
 
1.6%
211 1
 
1.6%
212 1
 
1.6%
213 1
 
1.6%
216 1
 
1.6%
217 1
 
1.6%
218 3
 
4.9%
ValueCountFrequency (%)
241 1
 
1.6%
232 1
 
1.6%
231 2
 
3.3%
230 1
 
1.6%
229 3
4.9%
227 2
 
3.3%
226 3
4.9%
225 5
8.2%
224 4
6.6%
223 1
 
1.6%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)43.9%
Missing4
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean210.64912
Minimum180
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:33:06.568852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile181
Q1182
median220
Q3225
95-th percentile231
Maximum241
Range61
Interquartile range (IQR)43

Descriptive statistics

Standard deviation20.114397
Coefficient of variation (CV)0.095487685
Kurtosis-1.3042126
Mean210.64912
Median Absolute Deviation (MAD)7
Skewness-0.66676091
Sum12007
Variance404.58897
MonotonicityNot monotonic
2024-03-13T18:33:06.685392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
181 10
16.4%
182 6
 
9.8%
225 5
 
8.2%
222 4
 
6.6%
224 4
 
6.6%
220 3
 
4.9%
226 3
 
4.9%
229 3
 
4.9%
231 2
 
3.3%
218 2
 
3.3%
Other values (15) 15
24.6%
(Missing) 4
 
6.6%
ValueCountFrequency (%)
180 1
 
1.6%
181 10
16.4%
182 6
9.8%
201 1
 
1.6%
211 1
 
1.6%
213 1
 
1.6%
214 1
 
1.6%
216 1
 
1.6%
217 1
 
1.6%
218 2
 
3.3%
ValueCountFrequency (%)
241 1
 
1.6%
232 1
 
1.6%
231 2
 
3.3%
230 1
 
1.6%
229 3
4.9%
228 1
 
1.6%
227 1
 
1.6%
226 3
4.9%
225 5
8.2%
224 4
6.6%

혼합연령수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
56 
233
 
1
224
 
1
229
 
1
225
 
1

Length

Max length4
Median length4
Mean length3.9180328
Min length3

Unique

Unique5 ?
Unique (%)8.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
91.8%
233 1
 
1.6%
224 1
 
1.6%
229 1
 
1.6%
225 1
 
1.6%
181 1
 
1.6%

Length

2024-03-13T18:33:06.806866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:33:06.918371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
91.8%
233 1
 
1.6%
224 1
 
1.6%
229 1
 
1.6%
225 1
 
1.6%
181 1
 
1.6%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
<NA>
53 
181
 
4
182
 
4

Length

Max length4
Median length4
Mean length3.8688525
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row181
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 53
86.9%
181 4
 
6.6%
182 4
 
6.6%

Length

2024-03-13T18:33:07.040519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:33:07.130560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
86.9%
181 4
 
6.6%
182 4
 
6.6%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)38.3%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean243.66667
Minimum222
Maximum297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:33:07.220809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile225.9
Q1239.75
median244
Q3249
95-th percentile251
Maximum297
Range75
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation10.424331
Coefficient of variation (CV)0.04278111
Kurtosis11.005985
Mean243.66667
Median Absolute Deviation (MAD)5
Skewness1.7502933
Sum14620
Variance108.66667
MonotonicityNot monotonic
2024-03-13T18:33:07.353673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
249 10
16.4%
250 8
13.1%
240 5
 
8.2%
248 5
 
8.2%
244 3
 
4.9%
242 3
 
4.9%
251 3
 
4.9%
239 3
 
4.9%
241 3
 
4.9%
247 2
 
3.3%
Other values (13) 15
24.6%
ValueCountFrequency (%)
222 1
1.6%
223 1
1.6%
224 1
1.6%
226 1
1.6%
229 1
1.6%
230 1
1.6%
231 1
1.6%
233 2
3.3%
236 1
1.6%
237 1
1.6%
ValueCountFrequency (%)
297 1
 
1.6%
251 3
 
4.9%
250 8
13.1%
249 10
16.4%
248 5
8.2%
247 2
 
3.3%
244 3
 
4.9%
243 2
 
3.3%
242 3
 
4.9%
241 3
 
4.9%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.9%
Missing7
Missing (%)11.5%
Memory size254.0 B
False
54 
(Missing)
7 
ValueCountFrequency (%)
False 54
88.5%
(Missing) 7
 
11.5%
2024-03-13T18:33:07.462537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.9%
Missing7
Missing (%)11.5%
Memory size254.0 B
False
54 
(Missing)
7 
ValueCountFrequency (%)
False 54
88.5%
(Missing) 7
 
11.5%
2024-03-13T18:33:07.530360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225.426
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T18:33:07.604932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20191
Q120231
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.604483
Coefficient of variation (CV)0.0006726426
Kurtosis4.295814
Mean20225.426
Median Absolute Deviation (MAD)0
Skewness-2.3798283
Sum1233751
Variance185.08197
MonotonicityNot monotonic
2024-03-13T18:33:07.722131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 50
82.0%
20191 4
 
6.6%
20221 3
 
4.9%
20181 2
 
3.3%
20211 1
 
1.6%
20201 1
 
1.6%
ValueCountFrequency (%)
20181 2
 
3.3%
20191 4
 
6.6%
20201 1
 
1.6%
20211 1
 
1.6%
20221 3
 
4.9%
20231 50
82.0%
ValueCountFrequency (%)
20231 50
82.0%
20221 3
 
4.9%
20211 1
 
1.6%
20201 1
 
1.6%
20191 4
 
6.6%
20181 2
 
3.3%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T18:33:07.978372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.885246
Min length15

Characters and Unicode

Total characters1152
Distinct characters58
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

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강서구 마곡서1로 68
2nd row서울특별시 강서구 금낭화로 287-19
3rd row서울특별시 강서구 까치산로 60
4th row서울특별시 강서구 까치산로2길 43
5th row서울특별시 강서구 마곡서로 33
ValueCountFrequency (%)
서울특별시 61
25.0%
강서구 61
25.0%
허준로 9
 
3.7%
39 3
 
1.2%
금낭화로 3
 
1.2%
강서로 3
 
1.2%
까치산로 2
 
0.8%
8 2
 
0.8%
마곡서1로 2
 
0.8%
4 2
 
0.8%
Other values (88) 96
39.3%
2024-03-13T18:33:08.364320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
15.9%
서 135
 
11.7%
강 71
 
6.2%
특 61
 
5.3%
별 61
 
5.3%
시 61
 
5.3%
구 61
 
5.3%
울 61
 
5.3%
로 61
 
5.3%
1 43
 
3.7%
Other values (48) 354
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
64.6%
Decimal Number 219
 
19.0%
Space Separator 183
 
15.9%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Decimal Number
ValueCountFrequency (%)
1 43
19.6%
3 35
16.0%
6 26
11.9%
4 22
10.0%
2 21
9.6%
7 16
 
7.3%
0 15
 
6.8%
5 14
 
6.4%
8 14
 
6.4%
9 13
 
5.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
64.6%
Common 408
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Common
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
64.6%
ASCII 408
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%
Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
특 61
8.2%
별 61
8.2%
시 61
8.2%
구 61
8.2%
울 61
8.2%
로 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%

Interactions

2024-03-13T18:33:03.382467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:01.864476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.223352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.577341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.932474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.465088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:01.932699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.293243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.651791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.010148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.543919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.003052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.364791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.722663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.079645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.614727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.073843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.438138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.794394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.160981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.693362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.154881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.507867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:02.864773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:33:03.268702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T18:33:08.459763image/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
실립유형1.0001.0001.0000.9540.7980.7681.0000.0000.3380.0000.000
3세 수업일수1.0001.0000.9541.0001.0000.985NaNNaN0.4080.3570.970
4세 수업일수1.0001.0000.7981.0001.0001.000NaNNaN0.4680.0000.971
5세 수업일수1.0001.0000.7680.9851.0001.000NaNNaN0.4420.0000.943
혼합연령수업일수1.0001.0001.000NaNNaNNaN1.000NaN1.0001.0001.000
특수학급수업일수1.0001.0000.000NaNNaNNaNNaN1.000NaNNaN1.000
방과후 과정수업일수1.0001.0000.3380.4080.4680.4421.000NaN1.0000.0000.941
공시차수1.0001.0000.0000.3570.0000.0001.000NaN0.0001.0000.000
주소1.0001.0000.0000.9700.9710.9431.0001.0000.9410.0001.000
2024-03-13T18:33:08.612088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실립유형특수학급수업일수혼합연령수업일수
실립유형1.0000.0001.000
특수학급수업일수0.0001.000NaN
혼합연령수업일수1.000NaN1.000
2024-03-13T18:33:08.725655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수공시차수실립유형혼합연령수업일수특수학급수업일수
3세 수업일수1.0000.9990.990-0.340-0.1100.6921.0001.000
4세 수업일수0.9991.0000.991-0.365-0.2050.679NaN1.000
5세 수업일수0.9900.9911.000-0.381-0.2050.634NaN1.000
방과후 과정수업일수-0.340-0.365-0.3811.0000.2680.2841.0001.000
공시차수-0.110-0.205-0.2050.2681.0000.0001.0001.000
실립유형0.6920.6790.6340.2840.0001.0001.0000.000
혼합연령수업일수1.000NaNNaN1.0001.0001.0001.0000.000
특수학급수업일수1.0001.0001.0001.0001.0000.0000.0001.000

Missing values

2024-03-13T18:33:03.796074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:33:03.953496image/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.
2024-03-13T18:33:04.082400image/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
0서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)181181181<NA>181249NN20231서울특별시 강서구 마곡서1로 68
1서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)225225225<NA><NA>251NN20231서울특별시 강서구 금낭화로 287-19
2서울특별시교육청강서양천교육지원청1ecec08c-eec7-b044-e053-0a32095ab044화곡유치원사립(법인)<NA><NA>223<NA><NA>236NN20231서울특별시 강서구 까치산로 60
3서울특별시교육청강서양천교육지원청1ecec08c-ef9c-b044-e053-0a32095ab044선미유치원사립(법인)213213214<NA><NA>233NN20231서울특별시 강서구 까치산로2길 43
4서울특별시교육청강서양천교육지원청1ecec08c-f199-b044-e053-0a32095ab044서울공진초등학교병설유치원공립(병설)180180181<NA><NA>247NN20231서울특별시 강서구 마곡서로 33
5서울특별시교육청강서양천교육지원청1ecec08c-f1fa-b044-e053-0a32095ab044보라유치원사립(사인)224224221<NA><NA>244NN20231서울특별시 강서구 공항대로39길 100
6서울특별시교육청강서양천교육지원청1ecec08c-f1fb-b044-e053-0a32095ab044서강유치원사립(사인)218218218<NA><NA>240<NA><NA>20191서울특별시 강서구 금낭화로 35
7서울특별시교육청강서양천교육지원청1ecec08c-f33b-b044-e053-0a32095ab044신세기유치원사립(사인)218218218<NA><NA>242NN20231서울특별시 강서구 허준로 47
8서울특별시교육청강서양천교육지원청1ecec08c-f3d7-b044-e053-0a32095ab044서울정곡초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 강서구 방화대로50길 22
9서울특별시교육청강서양천교육지원청1ecec08c-f3d8-b044-e053-0a32095ab044신영유치원사립(사인)220220220<NA><NA>248NN20231서울특별시 강서구 곰달래로25길 4
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
51서울특별시교육청강서양천교육지원청53e84c27-6bdd-49a9-9c73-887fa8bd28a2서울금낭화유치원공립(단설)180180181<NA>181250NN20231서울특별시 강서구 금낭화로 35
52서울특별시교육청강서양천교육지원청5e4a5892-4caf-4a0b-93ab-44d81b9557a2서울신곡초등학교병설유치원공립(병설)182182182<NA>182251NN20231서울특별시 강서구 등촌로13자길 42-14
53서울특별시교육청강서양천교육지원청7721e609-bd73-448b-8b96-f988a1c4757d서울등촌초등학교병설유치원공립(병설)181181181<NA><NA>251NN20231서울특별시 강서구 등촌로39길 71
54서울특별시교육청강서양천교육지원청8114e0a3-e56e-47e5-a5d6-c2eef91cbed7서울탑산초등학교병설유치원공립(병설)181181181<NA>181250NN20231서울특별시 강서구 허준로 109
55서울특별시교육청강서양천교육지원청8fe5f3aa-d57f-4d30-bf63-09e1b5ab5633서울신월초등학교병설유치원공립(병설)182182182<NA><NA>250NN20231서울특별시 강서구 강서로31길 48
56서울특별시교육청강서양천교육지원청cd859395-2ba1-4f95-a3db-7c7a75b2d320서울송정초등학교병설유치원공립(병설)181181181<NA>181250NN20231서울특별시 강서구 공항대로3길 18
57서울특별시교육청강서양천교육지원청d0fe68a4-a1df-44ce-9072-87f9da3c301a서울개화초등학교병설유치원공립(병설)<NA><NA><NA>181<NA>242NN20231서울특별시 강서구 양천로 11
58서울특별시교육청강서양천교육지원청da318554-85fa-494c-9ab9-60fd25bb0ce2이솔유치원사립(사인)231231231<NA><NA>243NN20231서울특별시 강서구 곰달래로33가길 6
59서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 강서구 허준로 186
60서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)180180180<NA><NA>250NN20231서울특별시 강서구 강서로56나길 34