Overview

Dataset statistics

Number of variables15
Number of observations60
Missing cells38
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory129.2 B

Variable types

Categorical6
Text3
Numeric4
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20702/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
신설유치원여부 has constant value ""Constant
공시차수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
법정일수이하여부 is highly overall correlated with 3세 수업일수 and 6 other fieldsHigh correlation
실립유형 is highly overall correlated with 3세 수업일수 and 3 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 5세 수업일수 and 3 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 5 other fieldsHigh correlation
4세 수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 혼합연령수업일수 and 3 other fieldsHigh correlation
혼합연령수업일수 is highly imbalanced (77.3%)Imbalance
법정일수이하여부 is highly imbalanced (67.7%)Imbalance
3세 수업일수 has 8 (13.3%) missing valuesMissing
4세 수업일수 has 5 (8.3%) missing valuesMissing
5세 수업일수 has 2 (3.3%) missing valuesMissing
방과후 과정수업일수 has 2 (3.3%) missing valuesMissing
법정일수이하여부 has 9 (15.0%) missing valuesMissing
신설유치원여부 has 12 (20.0%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 15:40:56.519763
Analysis finished2024-03-13 15:40:58.977897
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
서울특별시교육청
60 

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 60
100.0%

Length

2024-03-14T00:40:59.037311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:40:59.122749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 60
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
강동송파교육지원청
60 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

Length

2024-03-14T00:40:59.211676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:40:59.307788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

유치원코드
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-14T00:40:59.532592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2160
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

Unique60 ?
Unique (%)100.0%

Sample

1st row009c017d-43bd-4d9f-ac64-d217abdd570e
2nd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
3rd row0f7d2827-8bb2-4a0c-9926-77fca1f60a54
4th row1ecec08c-ed94-b044-e053-0a32095ab044
5th row1ecec08c-eee8-b044-e053-0a32095ab044
ValueCountFrequency (%)
009c017d-43bd-4d9f-ac64-d217abdd570e 1
 
1.7%
04a021da-cdd7-4e7e-a434-2b388c2f6b63 1
 
1.7%
1ecec08d-0a0f-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0381-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0408-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-04b9-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-059a-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06af-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06b0-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
1.7%
Other values (50) 50
83.3%
2024-03-14T00:40:59.887344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1220
56.5%
Lowercase Letter 700
32.4%
Dash Punctuation 240
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
28.5%
4 238
19.5%
3 124
 
10.2%
5 122
 
10.0%
2 89
 
7.3%
8 88
 
7.2%
1 75
 
6.1%
9 71
 
5.8%
7 37
 
3.0%
6 28
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1460
67.6%
Latin 700
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
23.8%
- 240
16.4%
4 238
16.3%
3 124
 
8.5%
5 122
 
8.4%
2 89
 
6.1%
8 88
 
6.0%
1 75
 
5.1%
9 71
 
4.9%
7 37
 
2.5%
Latin
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

유치원명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-14T00:41:00.115015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.85
Min length5

Characters and Unicode

Total characters471
Distinct characters102
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

Unique60 ?
Unique (%)100.0%

Sample

1st row서울솔방울유치원
2nd row란키즈유치원
3rd row서울송파위례유치원
4th row꿀벌유치원
5th row서울신천초등학교병설유치원
ValueCountFrequency (%)
서울솔방울유치원 1
 
1.7%
란키즈유치원 1
 
1.7%
서울잠신초등학교병설유치원 1
 
1.7%
불광유치원 1
 
1.7%
리아유치원 1
 
1.7%
서울거여초등학교병설유치원 1
 
1.7%
리틀바움유치원 1
 
1.7%
혜림유치원 1
 
1.7%
푸른꿈유치원 1
 
1.7%
동화나라유치원 1
 
1.7%
Other values (50) 50
83.3%
2024-03-14T00:41:00.443039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
사립(사인)
36 
공립(병설)
15 
공립(단설)
5 
사립(법인)
4 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 36
60.0%
공립(병설) 15
25.0%
공립(단설) 5
 
8.3%
사립(법인) 4
 
6.7%

Length

2024-03-14T00:41:00.578103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:41:00.679206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 36
60.0%
공립(병설 15
25.0%
공립(단설 5
 
8.3%
사립(법인 4
 
6.7%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)57.7%
Missing8
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean204.17308
Minimum169
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-14T00:41:00.781523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169
5-th percentile180
Q1181
median204.5
Q3225
95-th percentile233.45
Maximum243
Range74
Interquartile range (IQR)44

Descriptive statistics

Standard deviation21.688274
Coefficient of variation (CV)0.10622494
Kurtosis-1.5361434
Mean204.17308
Median Absolute Deviation (MAD)22.5
Skewness0.063749845
Sum10617
Variance470.38122
MonotonicityNot monotonic
2024-03-14T00:41:00.892349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
181 11
18.3%
182 4
 
6.7%
233 3
 
5.0%
229 2
 
3.3%
211 2
 
3.3%
214 2
 
3.3%
200 2
 
3.3%
180 2
 
3.3%
225 2
 
3.3%
202 2
 
3.3%
Other values (20) 20
33.3%
(Missing) 8
 
13.3%
ValueCountFrequency (%)
169 1
 
1.7%
174 1
 
1.7%
180 2
 
3.3%
181 11
18.3%
182 4
 
6.7%
183 1
 
1.7%
195 1
 
1.7%
196 1
 
1.7%
200 2
 
3.3%
202 2
 
3.3%
ValueCountFrequency (%)
243 1
 
1.7%
235 1
 
1.7%
234 1
 
1.7%
233 3
5.0%
232 1
 
1.7%
230 1
 
1.7%
229 2
3.3%
227 1
 
1.7%
226 1
 
1.7%
225 2
3.3%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)56.4%
Missing5
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean204.6
Minimum169
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-14T00:41:01.011879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169
5-th percentile180
Q1181
median207
Q3225
95-th percentile234.3
Maximum243
Range74
Interquartile range (IQR)44

Descriptive statistics

Standard deviation21.88573
Coefficient of variation (CV)0.10696838
Kurtosis-1.5291768
Mean204.6
Median Absolute Deviation (MAD)25
Skewness0.055160559
Sum11253
Variance478.98519
MonotonicityNot monotonic
2024-03-14T00:41:01.160848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
181 12
20.0%
182 4
 
6.7%
214 3
 
5.0%
233 3
 
5.0%
211 2
 
3.3%
200 2
 
3.3%
225 2
 
3.3%
202 2
 
3.3%
229 2
 
3.3%
180 2
 
3.3%
Other values (21) 21
35.0%
(Missing) 5
 
8.3%
ValueCountFrequency (%)
169 1
 
1.7%
174 1
 
1.7%
180 2
 
3.3%
181 12
20.0%
182 4
 
6.7%
183 1
 
1.7%
195 1
 
1.7%
196 1
 
1.7%
200 2
 
3.3%
202 2
 
3.3%
ValueCountFrequency (%)
243 1
 
1.7%
239 1
 
1.7%
235 1
 
1.7%
234 1
 
1.7%
233 3
5.0%
232 1
 
1.7%
230 1
 
1.7%
229 2
3.3%
227 1
 
1.7%
226 1
 
1.7%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct29
Distinct (%)50.0%
Missing2
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean205
Minimum167
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-14T00:41:01.287565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum167
5-th percentile180
Q1182
median208.5
Q3225.75
95-th percentile234.15
Maximum243
Range76
Interquartile range (IQR)43.75

Descriptive statistics

Standard deviation21.736056
Coefficient of variation (CV)0.10602954
Kurtosis-1.5299373
Mean205
Median Absolute Deviation (MAD)24.5
Skewness0.0076119034
Sum11890
Variance472.45614
MonotonicityNot monotonic
2024-03-14T00:41:01.768509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
182 10
16.7%
181 6
 
10.0%
233 4
 
6.7%
183 2
 
3.3%
211 2
 
3.3%
222 2
 
3.3%
235 2
 
3.3%
180 2
 
3.3%
226 2
 
3.3%
200 2
 
3.3%
Other values (19) 24
40.0%
ValueCountFrequency (%)
167 1
 
1.7%
174 1
 
1.7%
180 2
 
3.3%
181 6
10.0%
182 10
16.7%
183 2
 
3.3%
196 1
 
1.7%
197 1
 
1.7%
200 2
 
3.3%
202 2
 
3.3%
ValueCountFrequency (%)
243 1
 
1.7%
235 2
3.3%
234 1
 
1.7%
233 4
6.7%
232 1
 
1.7%
231 1
 
1.7%
229 2
3.3%
227 1
 
1.7%
226 2
3.3%
225 1
 
1.7%

혼합연령수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
235
 
2
164
 
1
218
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length3

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
93.3%
235 2
 
3.3%
164 1
 
1.7%
218 1
 
1.7%

Length

2024-03-14T00:41:01.914258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:41:02.008065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
235 2
 
3.3%
164 1
 
1.7%
218 1
 
1.7%

특수학급수업일수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
47 
181
7 
182
5 
183
 
1

Length

Max length4
Median length4
Mean length3.7833333
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row183
2nd row<NA>
3rd row181
4th row<NA>
5th row182

Common Values

ValueCountFrequency (%)
<NA> 47
78.3%
181 7
 
11.7%
182 5
 
8.3%
183 1
 
1.7%

Length

2024-03-14T00:41:02.103648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:41:02.209481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
78.3%
181 7
 
11.7%
182 5
 
8.3%
183 1
 
1.7%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)53.4%
Missing2
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean233.12069
Minimum11
Maximum292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-03-14T00:41:02.308249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile188.2
Q1231
median238
Q3249
95-th percentile251.6
Maximum292
Range281
Interquartile range (IQR)18

Descriptive statistics

Standard deviation35.424284
Coefficient of variation (CV)0.15195684
Kurtosis27.568205
Mean233.12069
Median Absolute Deviation (MAD)10
Skewness-4.5517166
Sum13521
Variance1254.8799
MonotonicityNot monotonic
2024-03-14T00:41:02.419766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
250 7
 
11.7%
249 5
 
8.3%
235 4
 
6.7%
234 4
 
6.7%
231 4
 
6.7%
229 3
 
5.0%
248 3
 
5.0%
225 2
 
3.3%
244 2
 
3.3%
238 2
 
3.3%
Other values (21) 22
36.7%
ValueCountFrequency (%)
11 1
1.7%
169 1
1.7%
178 1
1.7%
190 1
1.7%
200 1
1.7%
210 1
1.7%
225 2
3.3%
226 1
1.7%
227 1
1.7%
228 1
1.7%
ValueCountFrequency (%)
292 1
 
1.7%
278 1
 
1.7%
255 1
 
1.7%
251 1
 
1.7%
250 7
11.7%
249 5
8.3%
248 3
5.0%
247 1
 
1.7%
245 2
 
3.3%
244 2
 
3.3%

법정일수이하여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)3.9%
Missing9
Missing (%)15.0%
Memory size252.0 B
False
48 
True
 
3
(Missing)
9 
ValueCountFrequency (%)
False 48
80.0%
True 3
 
5.0%
(Missing) 9
 
15.0%
2024-03-14T00:41:02.515818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.1%
Missing12
Missing (%)20.0%
Memory size252.0 B
False
48 
(Missing)
12 
ValueCountFrequency (%)
False 48
80.0%
(Missing) 12
 
20.0%
2024-03-14T00:41:02.588300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
20231
46 
20201
6 
20181
5 
20211
 
2
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
20231 46
76.7%
20201 6
 
10.0%
20181 5
 
8.3%
20211 2
 
3.3%
20191 1
 
1.7%

Length

2024-03-14T00:41:02.678870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:41:02.791373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 46
76.7%
20201 6
 
10.0%
20181 5
 
8.3%
20211 2
 
3.3%
20191 1
 
1.7%

주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-14T00:41:03.018746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.916667
Min length16

Characters and Unicode

Total characters1135
Distinct characters68
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

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 송파구 오금로24길 25
2nd row서울특별시 송파구 새말로8길 22-5
3rd row서울특별시 송파구 위례송파로 121
4th row서울특별시 송파구 양산로8길 8
5th row서울특별시 송파구 올림픽로 215
ValueCountFrequency (%)
서울특별시 60
25.0%
송파구 60
25.0%
올림픽로 5
 
2.1%
20 3
 
1.2%
양재대로 3
 
1.2%
위례순환로 3
 
1.2%
17 3
 
1.2%
양산로2길 2
 
0.8%
올림픽로4길 2
 
0.8%
32 2
 
0.8%
Other values (87) 97
40.4%
2024-03-14T00:41:03.380211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
15.9%
송 66
 
5.8%
파 66
 
5.8%
서 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
시 60
 
5.3%
구 60
 
5.3%
울 60
 
5.3%
Other values (58) 403
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
65.7%
Decimal Number 204
 
18.0%
Space Separator 180
 
15.9%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Decimal Number
ValueCountFrequency (%)
2 39
19.1%
1 38
18.6%
3 26
12.7%
4 23
11.3%
5 18
8.8%
7 15
 
7.4%
8 14
 
6.9%
6 13
 
6.4%
0 10
 
4.9%
9 8
 
3.9%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
65.7%
Common 389
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Common
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
65.7%
ASCII 389
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%
Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%

Interactions

2024-03-14T00:40:58.194864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.047432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.509971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.858786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:58.288260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.137961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.598778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.937853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:58.369997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.283106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.686840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:58.036602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:58.445466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.419758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:57.777075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:40:58.114305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T00:41:03.482005image/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
실립유형1.0001.0001.0000.6950.6960.726NaN0.1340.4220.0000.0000.762
3세 수업일수1.0001.0000.6951.0001.0000.986NaNNaN0.8021.0000.8750.000
4세 수업일수1.0001.0000.6961.0001.0000.982NaNNaN0.8041.0000.6590.000
5세 수업일수1.0001.0000.7260.9860.9821.0000.0000.4250.9121.0000.6270.000
혼합연령수업일수1.0001.000NaNNaNNaN0.0001.000NaN1.0001.0000.0001.000
특수학급수업일수1.0001.0000.134NaNNaN0.425NaN1.000NaNNaNNaN1.000
방과후 과정수업일수1.0001.0000.4220.8020.8040.9121.000NaN1.0000.9860.7000.000
법정일수이하여부1.0001.0000.0001.0001.0001.0001.000NaN0.9861.0001.0001.000
공시차수1.0001.0000.0000.8750.6590.6270.000NaN0.7001.0001.0000.928
주소1.0001.0000.7620.0000.0000.0001.0001.0000.0001.0000.9281.000
2024-03-14T00:41:03.617984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수법정일수이하여부실립유형특수학급수업일수혼합연령수업일수
공시차수1.0000.9900.0001.0000.000
법정일수이하여부0.9901.0000.0001.0001.000
실립유형0.0000.0001.0000.1771.000
특수학급수업일수1.0001.0000.1771.000NaN
혼합연령수업일수0.0001.0001.000NaN1.000
2024-03-14T00:41:03.732924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수실립유형혼합연령수업일수특수학급수업일수법정일수이하여부공시차수
3세 수업일수1.0001.0000.990-0.3610.5020.0001.0000.9150.608
4세 수업일수1.0001.0000.990-0.3570.5040.0001.0000.9190.502
5세 수업일수0.9900.9901.000-0.3590.5021.0000.6270.9110.340
방과후 과정수업일수-0.361-0.357-0.3591.0000.2761.0001.0000.8560.559
실립유형0.5020.5040.5020.2761.0001.0000.1770.0000.000
혼합연령수업일수0.0000.0001.0001.0001.0001.0000.0001.0000.000
특수학급수업일수1.0001.0000.6271.0000.1770.0001.0001.0001.000
법정일수이하여부0.9150.9190.9110.8560.0001.0001.0001.0000.990
공시차수0.6080.5020.3400.5590.0000.0001.0000.9901.000

Missing values

2024-03-14T00:40:58.568132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T00:40:58.740424image/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.
2024-03-14T00:40:58.877416image/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
0서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)183183183<NA>183255NN20231서울특별시 송파구 오금로24길 25
1서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)234234234<NA><NA>278NN20231서울특별시 송파구 새말로8길 22-5
2서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)181181182<NA>181250NN20231서울특별시 송파구 위례송파로 121
3서울특별시교육청강동송파교육지원청1ecec08c-ed94-b044-e053-0a32095ab044꿀벌유치원사립(사인)229229229<NA><NA>229NN20231서울특별시 송파구 양산로8길 8
4서울특별시교육청강동송파교육지원청1ecec08c-eee8-b044-e053-0a32095ab044서울신천초등학교병설유치원공립(병설)181181182<NA>182248NN20231서울특별시 송파구 올림픽로 215
5서울특별시교육청강동송파교육지원청1ecec08c-eeec-b044-e053-0a32095ab044장미유치원사립(법인)214214215<NA><NA>235NN20231서울특별시 송파구 올림픽로35길 118
6서울특별시교육청강동송파교육지원청1ecec08c-f04f-b044-e053-0a32095ab044새움유치원사립(사인)213214214<NA><NA>234<NA><NA>20181서울특별시 송파구 중대로27길 2
7서울특별시교육청강동송파교육지원청1ecec08c-f209-b044-e053-0a32095ab044우일유치원사립(사인)233233233<NA><NA>233NN20231서울특별시 송파구 토성로 38-6
8서울특별시교육청강동송파교육지원청1ecec08c-f20a-b044-e053-0a32095ab044석촌유치원사립(사인)227227227<NA><NA>227NN20231서울특별시 송파구 백제고분로40길 20
9서울특별시교육청강동송파교육지원청1ecec08c-f28a-b044-e053-0a32095ab044샛별유치원사립(사인)202202202<NA><NA>292<NA><NA>20181서울특별시 송파구 중대로9길 53-27
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
50서울특별시교육청강동송파교육지원청1ecec08d-0f6c-b044-e053-0a32095ab044수정유치원사립(사인)211211211<NA><NA>231NN20231서울특별시 송파구 위례성대로 28
51서울특별시교육청강동송파교육지원청1fd6777e-14fd-e0b0-e053-0a32095ae0b0위례우일유치원사립(사인)232232232<NA><NA>232NN20231서울특별시 송파구 성내천로47길 38-1
52서울특별시교육청강동송파교육지원청2ab4825b-780b-4443-b195-77d1c3851b7d서울아주초등학교병설유치원공립(병설)180180181<NA><NA>251NN20231서울특별시 송파구 올림픽로4길 59
53서울특별시교육청강동송파교육지원청4954e1f2-8d93-4db0-a8de-fcabfa4d6a0c서울거원초등학교병설유치원공립(병설)182182183<NA>182250NN20231서울특별시 송파구 양산로2길 26
54서울특별시교육청강동송파교육지원청7f130073-a125-4e1f-ac7a-0d743c58822b서울영풍초등학교병설유치원공립(병설)181181182<NA>181249NN20231서울특별시 송파구 오금로57길 15
55서울특별시교육청강동송파교육지원청7f2f03dd-4d3c-4cbc-bfd3-f88b47041426서울위례솔초등학교병설유치원공립(병설)181181182<NA>181250NN20231서울특별시 송파구 위례북로2길 12
56서울특별시교육청강동송파교육지원청98918a25-18ce-48c6-8188-620954527bc8서울솔가람유치원분원공립(단설)182182182<NA><NA>249NN20231서울특별시 송파구 위례순환로 477
57서울특별시교육청강동송파교육지원청d3a54882-16bb-4eae-9dc2-7a63f3a43215홍익가족유치원사립(사인)230230231<NA><NA>231NN20231서울특별시 송파구 삼학사로19길 20
58서울특별시교육청강동송파교육지원청e1def744-a9f2-4422-8301-d3548bd6074c서울위례별유치원공립(단설)181181182<NA>181250NN20231서울특별시 송파구 위례순환로 371
59서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 송파구 백제고분로 400