Overview

Dataset statistics

Number of variables15
Number of observations43
Missing cells67
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory130.1 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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-20701/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 방과후 과정수업일수 and 2 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 4세 수업일수 and 3 other fieldsHigh correlation
법정일수이하여부 is highly overall correlated with 4세 수업일수 and 5 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 3 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 4 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 혼합연령수업일수 and 2 other fieldsHigh correlation
실립유형 is highly overall correlated with 3세 수업일수 and 2 other fieldsHigh correlation
법정일수이하여부 is highly imbalanced (70.3%)Imbalance
공시차수 is highly imbalanced (54.9%)Imbalance
3세 수업일수 has 7 (16.3%) missing valuesMissing
4세 수업일수 has 7 (16.3%) missing valuesMissing
5세 수업일수 has 5 (11.6%) missing valuesMissing
혼합연령수업일수 has 36 (83.7%) missing valuesMissing
법정일수이하여부 has 5 (11.6%) missing valuesMissing
신설유치원여부 has 7 (16.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 18:03:26.215002
Analysis finished2024-03-13 18:03:28.746921
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
서울특별시교육청
43 

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 43
100.0%

Length

2024-03-14T03:03:28.803807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:03:29.104939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 43
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
강남서초교육지원청
43 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남서초교육지원청 43
100.0%

Length

2024-03-14T03:03:29.193580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:03:29.282797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남서초교육지원청 43
100.0%

유치원코드
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-14T03:03:29.458518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1548
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

Unique43 ?
Unique (%)100.0%

Sample

1st row16f86a3d-1aa1-471d-bcd4-a563853f8658
2nd row18f5dfe2-27c7-47f3-af41-5a4a944a77fe
3rd row1ecec08c-ed13-b044-e053-0a32095ab044
4th row1ecec08c-ed1d-b044-e053-0a32095ab044
5th row1ecec08c-ed1e-b044-e053-0a32095ab044
ValueCountFrequency (%)
16f86a3d-1aa1-471d-bcd4-a563853f8658 1
 
2.3%
1ecec08c-fea5-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-007b-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-0184-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-01d8-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-04db-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-0a98-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-0b98-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-0d4f-b044-e053-0a32095ab044 1
 
2.3%
1ecec08d-0e4d-b044-e053-0a32095ab044 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T03:03:29.748328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 247
16.0%
4 176
11.4%
- 172
11.1%
e 144
9.3%
c 107
 
6.9%
a 96
 
6.2%
3 91
 
5.9%
5 91
 
5.9%
b 87
 
5.6%
1 57
 
3.7%
Other values (7) 280
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 857
55.4%
Lowercase Letter 519
33.5%
Dash Punctuation 172
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 247
28.8%
4 176
20.5%
3 91
 
10.6%
5 91
 
10.6%
1 57
 
6.7%
8 55
 
6.4%
9 52
 
6.1%
2 47
 
5.5%
6 21
 
2.5%
7 20
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 144
27.7%
c 107
20.6%
a 96
18.5%
b 87
16.8%
d 44
 
8.5%
f 41
 
7.9%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1029
66.5%
Latin 519
33.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 247
24.0%
4 176
17.1%
- 172
16.7%
3 91
 
8.8%
5 91
 
8.8%
1 57
 
5.5%
8 55
 
5.3%
9 52
 
5.1%
2 47
 
4.6%
6 21
 
2.0%
Latin
ValueCountFrequency (%)
e 144
27.7%
c 107
20.6%
a 96
18.5%
b 87
16.8%
d 44
 
8.5%
f 41
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 247
16.0%
4 176
11.4%
- 172
11.1%
e 144
9.3%
c 107
 
6.9%
a 96
 
6.2%
3 91
 
5.9%
5 91
 
5.9%
b 87
 
5.6%
1 57
 
3.7%
Other values (7) 280
18.1%

유치원명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-14T03:03:29.941092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.2790698
Min length5

Characters and Unicode

Total characters356
Distinct characters82
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

Unique43 ?
Unique (%)100.0%

Sample

1st row서울신구유치원
2nd row서울세명유치원
3rd row강남유치원
4th row서울언주초등학교병설유치원
5th row서울개원초등학교병설유치원
ValueCountFrequency (%)
서울신구유치원 1
 
2.3%
리라유치원 1
 
2.3%
초원유치원 1
 
2.3%
아란유치원 1
 
2.3%
서울율현초등학교병설유치원 1
 
2.3%
서울논현초등학교병설유치원 1
 
2.3%
오즈의마법사유치원 1
 
2.3%
반디유치원 1
 
2.3%
이화유치원 1
 
2.3%
청운교회부설유치원 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T03:03:30.239396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 45
 
12.6%
유 44
 
12.4%
치 43
 
12.1%
서 19
 
5.3%
울 18
 
5.1%
초 15
 
4.2%
설 15
 
4.2%
학 15
 
4.2%
교 15
 
4.2%
등 14
 
3.9%
Other values (72) 113
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 45
 
12.6%
유 44
 
12.4%
치 43
 
12.1%
서 19
 
5.3%
울 18
 
5.1%
초 15
 
4.2%
설 15
 
4.2%
학 15
 
4.2%
교 15
 
4.2%
등 14
 
3.9%
Other values (72) 113
31.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 45
 
12.6%
유 44
 
12.4%
치 43
 
12.1%
서 19
 
5.3%
울 18
 
5.1%
초 15
 
4.2%
설 15
 
4.2%
학 15
 
4.2%
교 15
 
4.2%
등 14
 
3.9%
Other values (72) 113
31.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 45
 
12.6%
유 44
 
12.4%
치 43
 
12.1%
서 19
 
5.3%
울 18
 
5.1%
초 15
 
4.2%
설 15
 
4.2%
학 15
 
4.2%
교 15
 
4.2%
등 14
 
3.9%
Other values (72) 113
31.7%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
사립(사인)
22 
공립(병설)
14 
공립(단설)
4 
사립(법인)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 22
51.2%
공립(병설) 14
32.6%
공립(단설) 4
 
9.3%
사립(법인) 3
 
7.0%

Length

2024-03-14T03:03:30.339256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:03:30.422341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 22
51.2%
공립(병설 14
32.6%
공립(단설 4
 
9.3%
사립(법인 3
 
7.0%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct19
Distinct (%)52.8%
Missing7
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean200.80556
Minimum174
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T03:03:30.499667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile180
Q1181
median193
Q3215
95-th percentile237.75
Maximum246
Range72
Interquartile range (IQR)34

Descriptive statistics

Standard deviation22.567764
Coefficient of variation (CV)0.11238615
Kurtosis-1.2459155
Mean200.80556
Median Absolute Deviation (MAD)13.5
Skewness0.48241736
Sum7229
Variance509.30397
MonotonicityNot monotonic
2024-03-14T03:03:30.584765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
181 11
25.6%
180 5
11.6%
214 3
 
7.0%
209 2
 
4.7%
220 1
 
2.3%
218 1
 
2.3%
207 1
 
2.3%
182 1
 
2.3%
231 1
 
2.3%
246 1
 
2.3%
Other values (9) 9
20.9%
(Missing) 7
16.3%
ValueCountFrequency (%)
174 1
 
2.3%
180 5
11.6%
181 11
25.6%
182 1
 
2.3%
204 1
 
2.3%
207 1
 
2.3%
209 2
 
4.7%
212 1
 
2.3%
213 1
 
2.3%
214 3
 
7.0%
ValueCountFrequency (%)
246 1
 
2.3%
240 1
 
2.3%
237 1
 
2.3%
236 1
 
2.3%
231 1
 
2.3%
230 1
 
2.3%
228 1
 
2.3%
220 1
 
2.3%
218 1
 
2.3%
214 3
7.0%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)50.0%
Missing7
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean197.83333
Minimum163
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T03:03:30.681369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum163
5-th percentile178.5
Q1181
median181
Q3214
95-th percentile237.75
Maximum246
Range83
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.708715
Coefficient of variation (CV)0.1147871
Kurtosis-0.88413941
Mean197.83333
Median Absolute Deviation (MAD)4
Skewness0.64264344
Sum7122
Variance515.68571
MonotonicityNot monotonic
2024-03-14T03:03:30.764142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
181 12
27.9%
180 5
11.6%
214 3
 
7.0%
209 2
 
4.7%
213 1
 
2.3%
237 1
 
2.3%
174 1
 
2.3%
212 1
 
2.3%
236 1
 
2.3%
163 1
 
2.3%
Other values (8) 8
18.6%
(Missing) 7
16.3%
ValueCountFrequency (%)
163 1
 
2.3%
174 1
 
2.3%
180 5
11.6%
181 12
27.9%
182 1
 
2.3%
204 1
 
2.3%
207 1
 
2.3%
209 2
 
4.7%
212 1
 
2.3%
213 1
 
2.3%
ValueCountFrequency (%)
246 1
 
2.3%
240 1
 
2.3%
237 1
 
2.3%
236 1
 
2.3%
230 1
 
2.3%
228 1
 
2.3%
218 1
 
2.3%
214 3
7.0%
213 1
 
2.3%
212 1
 
2.3%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)57.9%
Missing5
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean198.31579
Minimum163
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T03:03:30.877281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum163
5-th percentile179.1
Q1181
median182
Q3214
95-th percentile237.45
Maximum246
Range83
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.505381
Coefficient of variation (CV)0.11348255
Kurtosis-0.95488683
Mean198.31579
Median Absolute Deviation (MAD)5
Skewness0.60093145
Sum7536
Variance506.49218
MonotonicityNot monotonic
2024-03-14T03:03:30.995921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 10
23.3%
182 5
11.6%
180 3
 
7.0%
214 2
 
4.7%
211 1
 
2.3%
219 1
 
2.3%
207 1
 
2.3%
183 1
 
2.3%
210 1
 
2.3%
224 1
 
2.3%
Other values (12) 12
27.9%
(Missing) 5
11.6%
ValueCountFrequency (%)
163 1
 
2.3%
174 1
 
2.3%
180 3
 
7.0%
181 10
23.3%
182 5
11.6%
183 1
 
2.3%
205 1
 
2.3%
207 1
 
2.3%
209 1
 
2.3%
210 1
 
2.3%
ValueCountFrequency (%)
246 1
2.3%
240 1
2.3%
237 1
2.3%
236 1
2.3%
230 1
2.3%
227 1
2.3%
224 1
2.3%
219 1
2.3%
215 1
2.3%
214 2
4.7%

혼합연령수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing36
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean215.28571
Minimum181
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T03:03:31.073132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181
5-th percentile190.3
Q1214
median220
Q3223.5
95-th percentile228.9
Maximum231
Range50
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation16.286132
Coefficient of variation (CV)0.075648921
Kurtosis4.2364587
Mean215.28571
Median Absolute Deviation (MAD)4
Skewness-1.9031072
Sum1507
Variance265.2381
MonotonicityNot monotonic
2024-03-14T03:03:31.150683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
212 1
 
2.3%
220 1
 
2.3%
216 1
 
2.3%
223 1
 
2.3%
181 1
 
2.3%
224 1
 
2.3%
231 1
 
2.3%
(Missing) 36
83.7%
ValueCountFrequency (%)
181 1
2.3%
212 1
2.3%
216 1
2.3%
220 1
2.3%
223 1
2.3%
224 1
2.3%
231 1
2.3%
ValueCountFrequency (%)
231 1
2.3%
224 1
2.3%
223 1
2.3%
220 1
2.3%
216 1
2.3%
212 1
2.3%
181 1
2.3%

특수학급수업일수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
34 
182
5 
181
 
3
180
 
1

Length

Max length4
Median length4
Mean length3.7906977
Min length3

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row180
2nd row182
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
79.1%
182 5
 
11.6%
181 3
 
7.0%
180 1
 
2.3%

Length

2024-03-14T03:03:31.237542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:03:31.317140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
79.1%
182 5
 
11.6%
181 3
 
7.0%
180 1
 
2.3%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.5814
Minimum163
Maximum284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T03:03:31.393125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum163
5-th percentile181.8
Q1233.5
median247
Q3249
95-th percentile250.9
Maximum284
Range121
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation22.175955
Coefficient of variation (CV)0.093340453
Kurtosis4.2735573
Mean237.5814
Median Absolute Deviation (MAD)3
Skewness-1.8516685
Sum10216
Variance491.77298
MonotonicityNot monotonic
2024-03-14T03:03:31.485515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
249 7
16.3%
250 5
 
11.6%
247 4
 
9.3%
248 3
 
7.0%
219 2
 
4.7%
239 2
 
4.7%
240 2
 
4.7%
251 2
 
4.7%
174 1
 
2.3%
198 1
 
2.3%
Other values (14) 14
32.6%
ValueCountFrequency (%)
163 1
2.3%
174 1
2.3%
180 1
2.3%
198 1
2.3%
219 2
4.7%
224 1
2.3%
229 1
2.3%
230 1
2.3%
231 1
2.3%
233 1
2.3%
ValueCountFrequency (%)
284 1
 
2.3%
251 2
 
4.7%
250 5
11.6%
249 7
16.3%
248 3
7.0%
247 4
9.3%
246 1
 
2.3%
245 1
 
2.3%
244 1
 
2.3%
242 1
 
2.3%

법정일수이하여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)5.3%
Missing5
Missing (%)11.6%
Memory size218.0 B
False
36 
True
 
2
(Missing)
5 
ValueCountFrequency (%)
False 36
83.7%
True 2
 
4.7%
(Missing) 5
 
11.6%
2024-03-14T03:03:31.568488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.8%
Missing7
Missing (%)16.3%
Memory size218.0 B
False
36 
(Missing)
7 
ValueCountFrequency (%)
False 36
83.7%
(Missing) 7
 
16.3%
2024-03-14T03:03:31.639487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
20231
35 
20181
 
3
20201
 
2
20191
 
2
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row20231
2nd row20231
3rd row20201
4th row20231
5th row20181

Common Values

ValueCountFrequency (%)
20231 35
81.4%
20181 3
 
7.0%
20201 2
 
4.7%
20191 2
 
4.7%
20211 1
 
2.3%

Length

2024-03-14T03:03:31.709363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:03:31.789323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 35
81.4%
20181 3
 
7.0%
20201 2
 
4.7%
20191 2
 
4.7%
20211 1
 
2.3%

주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-14T03:03:31.973512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.790698
Min length16

Characters and Unicode

Total characters808
Distinct characters53
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

Unique43 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 압구정로18길 28
2nd row서울특별시 강남구 자곡로 55
3rd row서울특별시 강남구 선릉로129길 31
4th row서울특별시 강남구 남부순환로363길 19
5th row서울특별시 강남구 선릉로 29
ValueCountFrequency (%)
서울특별시 43
25.0%
강남구 43
25.0%
15 4
 
2.3%
5 3
 
1.7%
28 3
 
1.7%
17 3
 
1.7%
선릉로 2
 
1.2%
21 2
 
1.2%
일원로 2
 
1.2%
자곡로 2
 
1.2%
Other values (62) 65
37.8%
2024-03-14T03:03:32.276545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
16.0%
구 47
 
5.8%
1 47
 
5.8%
남 46
 
5.7%
강 45
 
5.6%
서 43
 
5.3%
특 43
 
5.3%
별 43
 
5.3%
시 43
 
5.3%
울 43
 
5.3%
Other values (43) 279
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
63.7%
Decimal Number 163
 
20.2%
Space Separator 129
 
16.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
9.1%
남 46
8.9%
강 45
8.7%
서 43
8.3%
특 43
8.3%
별 43
8.3%
시 43
8.3%
울 43
8.3%
로 43
8.3%
길 32
 
6.2%
Other values (31) 87
16.9%
Decimal Number
ValueCountFrequency (%)
1 47
28.8%
2 23
14.1%
5 20
12.3%
6 14
 
8.6%
8 12
 
7.4%
7 10
 
6.1%
4 10
 
6.1%
3 10
 
6.1%
0 9
 
5.5%
9 8
 
4.9%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
63.7%
Common 293
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
9.1%
남 46
8.9%
강 45
8.7%
서 43
8.3%
특 43
8.3%
별 43
8.3%
시 43
8.3%
울 43
8.3%
로 43
8.3%
길 32
 
6.2%
Other values (31) 87
16.9%
Common
ValueCountFrequency (%)
129
44.0%
1 47
 
16.0%
2 23
 
7.8%
5 20
 
6.8%
6 14
 
4.8%
8 12
 
4.1%
7 10
 
3.4%
4 10
 
3.4%
3 10
 
3.4%
0 9
 
3.1%
Other values (2) 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
63.7%
ASCII 293
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
44.0%
1 47
 
16.0%
2 23
 
7.8%
5 20
 
6.8%
6 14
 
4.8%
8 12
 
4.1%
7 10
 
3.4%
4 10
 
3.4%
3 10
 
3.4%
0 9
 
3.1%
Other values (2) 9
 
3.1%
Hangul
ValueCountFrequency (%)
구 47
9.1%
남 46
8.9%
강 45
8.7%
서 43
8.3%
특 43
8.3%
별 43
8.3%
시 43
8.3%
울 43
8.3%
로 43
8.3%
길 32
 
6.2%
Other values (31) 87
16.9%

Interactions

2024-03-14T03:03:28.023399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:26.670668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.034359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.380704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.707568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:28.088564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:26.736635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.114449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.448696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.782924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:28.147469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:26.809704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.181637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.515657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.843155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:28.203122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:26.879489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.252577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.569786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.907273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:28.260704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:26.955286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.316709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.630961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:03:27.965031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T03:03:32.358576image/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
실립유형1.0001.0001.0000.8920.9210.657NaN0.3460.5880.0000.0001.000
3세 수업일수1.0001.0000.8921.0000.9030.9320.0000.0000.588NaN0.1171.000
4세 수업일수1.0001.0000.9210.9031.0000.983NaNNaN0.8581.0000.5671.000
5세 수업일수1.0001.0000.6570.9320.9831.000NaNNaN0.7491.0000.6141.000
혼합연령수업일수1.0001.000NaN0.000NaNNaN1.000NaN0.000NaN0.0001.000
특수학급수업일수1.0001.0000.3460.000NaNNaNNaN1.0000.114NaNNaN1.000
방과후 과정수업일수1.0001.0000.5880.5880.8580.7490.0000.1141.0001.0000.8651.000
법정일수이하여부1.0001.0000.000NaN1.0001.000NaNNaN1.0001.0001.0001.000
공시차수1.0001.0000.0000.1170.5670.6140.000NaN0.8651.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T03:03:32.465104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수법정일수이하여부
공시차수1.0000.0001.0000.986
실립유형0.0001.0000.4900.000
특수학급수업일수1.0000.4901.0001.000
법정일수이하여부0.9860.0001.0001.000
2024-03-14T03:03:32.539964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수실립유형특수학급수업일수법정일수이하여부공시차수
3세 수업일수1.0001.0000.9741.000-0.2720.5160.0000.0000.000
4세 수업일수1.0001.0000.973NaN-0.1550.5741.0000.8760.328
5세 수업일수0.9740.9731.0001.000-0.1450.4691.0000.9010.405
혼합연령수업일수1.000NaN1.0001.000-0.5770.632NaN1.0000.000
방과후 과정수업일수-0.272-0.155-0.145-0.5771.0000.2880.0000.9280.732
실립유형0.5160.5740.4690.6320.2881.0000.4900.0000.000
특수학급수업일수0.0001.0001.000NaN0.0000.4901.0001.0001.000
법정일수이하여부0.0000.8760.9011.0000.9280.0001.0001.0000.986
공시차수0.0000.3280.4050.0000.7320.0001.0000.9861.000

Missing values

2024-03-14T03:03:28.358936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T03:03:28.500906image/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.
2024-03-14T03:03:28.622504image/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
0서울특별시교육청강남서초교육지원청16f86a3d-1aa1-471d-bcd4-a563853f8658서울신구유치원공립(단설)180180180<NA>180249NN20231서울특별시 강남구 압구정로18길 28
1서울특별시교육청강남서초교육지원청18f5dfe2-27c7-47f3-af41-5a4a944a77fe서울세명유치원공립(단설)181181182<NA>182250NN20231서울특별시 강남구 자곡로 55
2서울특별시교육청강남서초교육지원청1ecec08c-ed13-b044-e053-0a32095ab044강남유치원사립(사인)<NA>163163<NA><NA>163Y<NA>20201서울특별시 강남구 선릉로129길 31
3서울특별시교육청강남서초교육지원청1ecec08c-ed1d-b044-e053-0a32095ab044서울언주초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 강남구 남부순환로363길 19
4서울특별시교육청강남서초교육지원청1ecec08c-ed1e-b044-e053-0a32095ab044서울개원초등학교병설유치원공립(병설)181181181<NA><NA>245<NA><NA>20181서울특별시 강남구 선릉로 29
5서울특별시교육청강남서초교육지원청1ecec08c-ef04-b044-e053-0a32095ab044도곡렉슬유치원사립(사인)<NA><NA><NA>212<NA>248NN20231서울특별시 강남구 선릉로 221
6서울특별시교육청강남서초교육지원청1ecec08c-efef-b044-e053-0a32095ab044영동제일유치원사립(사인)213213211<NA><NA>230NN20231서울특별시 강남구 삼성로120길 28
7서울특별시교육청강남서초교육지원청1ecec08c-f42d-b044-e053-0a32095ab044서울수서초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 강남구 광평로51길 46
8서울특별시교육청강남서초교육지원청1ecec08c-f43c-b044-e053-0a32095ab044선경유치원사립(사인)220<NA><NA>220<NA>233NN20231서울특별시 강남구 삼성로 151
9서울특별시교육청강남서초교육지원청1ecec08c-f43d-b044-e053-0a32095ab044신아유치원사립(사인)237237237<NA><NA>250NN20231서울특별시 강남구 개포로110길 15
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
33서울특별시교육청강남서초교육지원청1ecec08d-0e61-b044-e053-0a32095ab044서울대현초등학교병설유치원공립(병설)<NA><NA>181181181247NN20231서울특별시 강남구 역삼로98길 16
34서울특별시교육청강남서초교육지원청1ecec08d-0e63-b044-e053-0a32095ab044성결유치원사립(사인)<NA><NA>224224<NA>224NN20231서울특별시 강남구 언주로121길 5
35서울특별시교육청강남서초교육지원청1ecec08d-0e64-b044-e053-0a32095ab044성요셉유치원사립(법인)209209210<NA><NA>219NN20231서울특별시 강남구 압구정로77길 28
36서울특별시교육청강남서초교육지원청1ecec08d-0e65-b044-e053-0a32095ab044소망유치원사립(사인)231<NA><NA>231<NA>231NN20231서울특별시 강남구 광평로56길 11
37서울특별시교육청강남서초교육지원청1fd6777e-1508-e0b0-e053-0a32095ae0b0서울은곡유치원공립(단설)182182183<NA>182250NN20231서울특별시 강남구 헌릉로569길 41
38서울특별시교육청강남서초교육지원청34140010-58e8-44b4-9e91-49d5eb6669e1강남유정유치원사립(사인)207207207<NA><NA>242NN20231서울특별시 강남구 광평로34길 17
39서울특별시교육청강남서초교육지원청3cedfdf0-2006-43f2-853b-29e001e6637a서울영희초등학교병설유치원공립(병설)181181182<NA>182250NN20231서울특별시 강남구 일원로 21
40서울특별시교육청강남서초교육지원청b2d7325d-5742-4adf-ad7a-4fcc9ea8f9dc서울청담초등학교병설유치원공립(병설)180180180<NA><NA>251NN20231서울특별시 강남구 압구정로71길 9
41서울특별시교육청강남서초교육지원청d66d57de-9a60-4eab-8ca9-38b9d53c57e0서울포이초등학교병설유치원공립(병설)180180181<NA><NA>250NN20231서울특별시 강남구 개포로22길 87
42서울특별시교육청강남서초교육지원청fccf9482-0b1c-4f4b-a7e7-cffe7f40b07b서울학동초등학교병설유치원공립(병설)181181181<NA><NA>247NN20231서울특별시 강남구 선릉로115길 42