Overview

Dataset statistics

Number of variables15
Number of observations38
Missing cells72
Missing cells (%)12.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory130.5 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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20683/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
실립유형 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 6 other fieldsHigh correlation
법정일수이하여부 is highly overall correlated with 3세 수업일수 and 6 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 6 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 5세 수업일수 and 2 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 특수학급수업일수 and 1 other fieldsHigh correlation
특수학급수업일수 is highly imbalanced (60.2%)Imbalance
법정일수이하여부 is highly imbalanced (65.5%)Imbalance
3세 수업일수 has 11 (28.9%) missing valuesMissing
4세 수업일수 has 10 (26.3%) missing valuesMissing
5세 수업일수 has 6 (15.8%) missing valuesMissing
혼합연령수업일수 has 29 (76.3%) missing valuesMissing
법정일수이하여부 has 7 (18.4%) missing valuesMissing
신설유치원여부 has 9 (23.7%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 17:04:23.840793
Analysis finished2024-03-13 17:04:26.240888
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-14T02:04:26.289362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:04:26.360941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
성동광진교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

Length

2024-03-14T02:04:26.437951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:04:26.520186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:04:26.677327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-eee1-b044-e053-0a32095ab044
2nd row1ecec08c-eee2-b044-e053-0a32095ab044
3rd row1ecec08c-eee3-b044-e053-0a32095ab044
4th row1ecec08c-eee4-b044-e053-0a32095ab044
5th row1ecec08c-f0da-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-eee1-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-066f-b044-e053-0a32095ab044 1
 
2.6%
ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952 1
 
2.6%
1ecec08d-0077-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0078-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0248-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-02a6-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0341-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04b5-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0840-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T02:04:27.024212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
17.6%
- 152
11.1%
4 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 773
56.5%
Lowercase Letter 443
32.4%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
31.2%
4 152
19.7%
3 84
 
10.9%
5 82
 
10.6%
8 48
 
6.2%
1 46
 
6.0%
2 45
 
5.8%
9 44
 
5.7%
7 19
 
2.5%
6 12
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 925
67.6%
Latin 443
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
26.1%
- 152
16.4%
4 152
16.4%
3 84
 
9.1%
5 82
 
8.9%
8 48
 
5.2%
1 46
 
5.0%
2 45
 
4.9%
9 44
 
4.8%
7 19
 
2.1%
Latin
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
17.6%
- 152
11.1%
4 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:04:27.218252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters266
Distinct characters62
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

Unique38 ?
Unique (%)100.0%

Sample

1st row선경유치원
2nd row성산유치원
3rd row자양유치원
4th row프라임유치원
5th row서울자양초등학교병설유치원
ValueCountFrequency (%)
선경유치원 1
 
2.6%
서울신자초등학교병설유치원 1
 
2.6%
서울용곡초등학교병설유치원 1
 
2.6%
선화유치원 1
 
2.6%
청구이화유치원 1
 
2.6%
동심유치원 1
 
2.6%
아이조아유치원 1
 
2.6%
경원유치원 1
 
2.6%
인애유치원 1
 
2.6%
한일유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T02:04:27.511817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
울 8
 
3.0%
설 8
 
3.0%
병 8
 
3.0%
교 8
 
3.0%
학 8
 
3.0%
등 8
 
3.0%
초 8
 
3.0%
Other values (52) 94
35.3%

실립유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
23 
공립(병설)
8 
사립(법인)
7 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 23
60.5%
공립(병설) 8
 
21.1%
사립(법인) 7
 
18.4%

Length

2024-03-14T02:04:27.615884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:04:27.697057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 23
60.5%
공립(병설 8
 
21.1%
사립(법인 7
 
18.4%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)66.7%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean204.48148
Minimum164
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T02:04:27.769893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164
5-th percentile180
Q1181
median209
Q3222
95-th percentile230.4
Maximum232
Range68
Interquartile range (IQR)41

Descriptive statistics

Standard deviation20.472064
Coefficient of variation (CV)0.10011696
Kurtosis-1.2715025
Mean204.48148
Median Absolute Deviation (MAD)17
Skewness-0.33653964
Sum5521
Variance419.10541
MonotonicityNot monotonic
2024-03-14T02:04:28.081508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
181 6
15.8%
219 2
 
5.3%
180 2
 
5.3%
222 2
 
5.3%
209 2
 
5.3%
226 1
 
2.6%
228 1
 
2.6%
206 1
 
2.6%
232 1
 
2.6%
212 1
 
2.6%
Other values (8) 8
21.1%
(Missing) 11
28.9%
ValueCountFrequency (%)
164 1
 
2.6%
180 2
 
5.3%
181 6
15.8%
200 1
 
2.6%
201 1
 
2.6%
206 1
 
2.6%
208 1
 
2.6%
209 2
 
5.3%
212 1
 
2.6%
213 1
 
2.6%
ValueCountFrequency (%)
232 1
2.6%
231 1
2.6%
229 1
2.6%
228 1
2.6%
226 1
2.6%
225 1
2.6%
222 2
5.3%
219 2
5.3%
213 1
2.6%
212 1
2.6%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)64.3%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean205.10714
Minimum164
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T02:04:28.175760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164
5-th percentile180
Q1181
median209
Q3222
95-th percentile230.3
Maximum232
Range68
Interquartile range (IQR)41

Descriptive statistics

Standard deviation20.360345
Coefficient of variation (CV)0.099266875
Kurtosis-1.2313595
Mean205.10714
Median Absolute Deviation (MAD)16.5
Skewness-0.40240544
Sum5743
Variance414.54365
MonotonicityNot monotonic
2024-03-14T02:04:28.255090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
181 6
15.8%
222 3
 
7.9%
209 2
 
5.3%
180 2
 
5.3%
219 2
 
5.3%
231 1
 
2.6%
229 1
 
2.6%
208 1
 
2.6%
213 1
 
2.6%
201 1
 
2.6%
Other values (8) 8
21.1%
(Missing) 10
26.3%
ValueCountFrequency (%)
164 1
 
2.6%
180 2
 
5.3%
181 6
15.8%
200 1
 
2.6%
201 1
 
2.6%
206 1
 
2.6%
208 1
 
2.6%
209 2
 
5.3%
212 1
 
2.6%
213 1
 
2.6%
ValueCountFrequency (%)
232 1
 
2.6%
231 1
 
2.6%
229 1
 
2.6%
228 1
 
2.6%
226 1
 
2.6%
225 1
 
2.6%
222 3
7.9%
219 2
5.3%
213 1
 
2.6%
212 1
 
2.6%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)68.8%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean205.0625
Minimum163
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T02:04:28.341048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum163
5-th percentile173.25
Q1181
median210
Q3222
95-th percentile231.45
Maximum245
Range82
Interquartile range (IQR)41

Descriptive statistics

Standard deviation21.827679
Coefficient of variation (CV)0.10644403
Kurtosis-1.0244453
Mean205.0625
Median Absolute Deviation (MAD)17
Skewness-0.29075108
Sum6562
Variance476.44758
MonotonicityNot monotonic
2024-03-14T02:04:28.426023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 6
15.8%
222 3
 
7.9%
210 2
 
5.3%
213 2
 
5.3%
219 2
 
5.3%
163 1
 
2.6%
180 1
 
2.6%
229 1
 
2.6%
182 1
 
2.6%
208 1
 
2.6%
Other values (12) 12
31.6%
(Missing) 6
15.8%
ValueCountFrequency (%)
163 1
 
2.6%
165 1
 
2.6%
180 1
 
2.6%
181 6
15.8%
182 1
 
2.6%
190 1
 
2.6%
199 1
 
2.6%
201 1
 
2.6%
206 1
 
2.6%
208 1
 
2.6%
ValueCountFrequency (%)
245 1
 
2.6%
232 1
 
2.6%
231 1
 
2.6%
229 1
 
2.6%
228 1
 
2.6%
226 1
 
2.6%
225 1
 
2.6%
222 3
7.9%
219 2
5.3%
216 1
 
2.6%

혼합연령수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)88.9%
Missing29
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean211
Minimum165
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T02:04:28.501813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum165
5-th percentile175
Q1204
median216
Q3217
95-th percentile240.6
Maximum245
Range80
Interquartile range (IQR)13

Descriptive statistics

Standard deviation23.393375
Coefficient of variation (CV)0.11086908
Kurtosis1.0570848
Mean211
Median Absolute Deviation (MAD)12
Skewness-0.6904851
Sum1899
Variance547.25
MonotonicityNot monotonic
2024-03-14T02:04:28.583217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
216 2
 
5.3%
165 1
 
2.6%
217 1
 
2.6%
245 1
 
2.6%
190 1
 
2.6%
212 1
 
2.6%
204 1
 
2.6%
234 1
 
2.6%
(Missing) 29
76.3%
ValueCountFrequency (%)
165 1
2.6%
190 1
2.6%
204 1
2.6%
212 1
2.6%
216 2
5.3%
217 1
2.6%
234 1
2.6%
245 1
2.6%
ValueCountFrequency (%)
245 1
2.6%
234 1
2.6%
217 1
2.6%
216 2
5.3%
212 1
2.6%
204 1
2.6%
190 1
2.6%
165 1
2.6%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
35 
181
 
3

Length

Max length4
Median length4
Mean length3.9210526
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
92.1%
181 3
 
7.9%

Length

2024-03-14T02:04:28.683112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:04:28.760597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
92.1%
181 3
 
7.9%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.55263
Minimum174
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-14T02:04:28.836861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile221.25
Q1237.25
median245
Q3249.75
95-th percentile293.45
Maximum328
Range154
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation23.736956
Coefficient of variation (CV)0.09666749
Kurtosis5.6211229
Mean245.55263
Median Absolute Deviation (MAD)6.5
Skewness0.68854045
Sum9331
Variance563.4431
MonotonicityNot monotonic
2024-03-14T02:04:28.937078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
249 5
 
13.2%
238 3
 
7.9%
250 3
 
7.9%
247 2
 
5.3%
237 2
 
5.3%
232 2
 
5.3%
244 2
 
5.3%
252 2
 
5.3%
236 2
 
5.3%
174 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
174 1
 
2.6%
200 1
 
2.6%
225 1
 
2.6%
232 2
5.3%
235 1
 
2.6%
236 2
5.3%
237 2
5.3%
238 3
7.9%
240 1
 
2.6%
241 1
 
2.6%
ValueCountFrequency (%)
328 1
 
2.6%
296 1
 
2.6%
293 1
 
2.6%
264 1
 
2.6%
252 2
 
5.3%
251 1
 
2.6%
250 3
7.9%
249 5
13.2%
248 1
 
2.6%
247 2
 
5.3%

법정일수이하여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)6.5%
Missing7
Missing (%)18.4%
Memory size208.0 B
False
29 
True
 
2
(Missing)
7 
ValueCountFrequency (%)
False 29
76.3%
True 2
 
5.3%
(Missing) 7
 
18.4%
2024-03-14T02:04:29.057930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing9
Missing (%)23.7%
Memory size208.0 B
False
29 
(Missing)
9 
ValueCountFrequency (%)
False 29
76.3%
(Missing) 9
 
23.7%
2024-03-14T02:04:29.154387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20231
25 
20191
4 
20221
4 
20181
3 
20201
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20231 25
65.8%
20191 4
 
10.5%
20221 4
 
10.5%
20181 3
 
7.9%
20201 2
 
5.3%

Length

2024-03-14T02:04:29.232162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:04:29.315035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 25
65.8%
20191 4
 
10.5%
20221 4
 
10.5%
20181 3
 
7.9%
20201 2
 
5.3%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:04:29.529050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.052632
Min length16

Characters and Unicode

Total characters724
Distinct characters52
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 뚝섬로66길 14
2nd row서울특별시 광진구 뚝섬로59길 18
3rd row서울특별시 광진구 자양로5길 36
4th row서울특별시 광진구 광나루로56길 5
5th row서울특별시 광진구 아차산로44길 26
ValueCountFrequency (%)
서울특별시 38
25.0%
광진구 38
25.0%
영화사로 2
 
1.3%
광나루로 2
 
1.3%
65 2
 
1.3%
아차산로 2
 
1.3%
군자로12길 1
 
0.7%
능동로4길 1
 
0.7%
89 1
 
0.7%
긴고랑로7길 1
 
0.7%
Other values (64) 64
42.1%
2024-03-14T02:04:29.907775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.7%
광 43
 
5.9%
서 38
 
5.2%
울 38
 
5.2%
구 38
 
5.2%
진 38
 
5.2%
로 38
 
5.2%
시 38
 
5.2%
별 38
 
5.2%
특 38
 
5.2%
Other values (42) 263
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
64.1%
Decimal Number 140
 
19.3%
Space Separator 114
 
15.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
울 38
8.2%
구 38
8.2%
진 38
8.2%
로 38
8.2%
시 38
8.2%
별 38
8.2%
특 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
16.4%
5 22
15.7%
4 19
13.6%
2 19
13.6%
6 17
12.1%
3 12
8.6%
0 9
 
6.4%
7 8
 
5.7%
9 6
 
4.3%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
64.1%
Common 260
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
울 38
8.2%
구 38
8.2%
진 38
8.2%
로 38
8.2%
시 38
8.2%
별 38
8.2%
특 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%
Common
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
4 19
 
7.3%
2 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
64.1%
ASCII 260
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
4 19
 
7.3%
2 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
울 38
8.2%
구 38
8.2%
진 38
8.2%
로 38
8.2%
시 38
8.2%
별 38
8.2%
특 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%

Interactions

2024-03-14T02:04:25.549499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.220553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.535767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.910287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.235881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.632122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.283944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.621758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.981447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.292459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.700585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.347451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.714004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.045372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.346916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.760247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.411756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.788389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.100236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.416179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.824068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.467604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:24.844575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.173655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T02:04:25.483171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T02:04:30.011827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수법정일수이하여부공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.9870.9820.9801.0000.0000.0070.2181.000
3세 수업일수1.0001.0000.9871.0001.0000.989NaN0.342NaN0.3541.000
4세 수업일수1.0001.0000.9821.0001.0000.990NaN0.350NaN0.1721.000
5세 수업일수1.0001.0000.9800.9890.9901.0001.0000.6821.0000.7711.000
혼합연령수업일수1.0001.0001.000NaNNaN1.0001.0001.000NaN0.9091.000
방과후 과정수업일수1.0001.0000.0000.3420.3500.6821.0001.0000.0000.0001.000
법정일수이하여부1.0001.0000.007NaNNaN1.000NaN0.0001.0001.0001.000
공시차수1.0001.0000.2180.3540.1720.7710.9090.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T02:04:30.152947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수법정일수이하여부
공시차수1.0000.1541.0000.983
실립유형0.1541.0001.0000.000
특수학급수업일수1.0001.0001.0001.000
법정일수이하여부0.9830.0001.0001.000
2024-03-14T02:04:30.267471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수실립유형특수학급수업일수법정일수이하여부공시차수
3세 수업일수1.0001.0000.994NaN-0.2220.7801.0000.8900.525
4세 수업일수1.0001.0000.994NaN-0.1570.7631.0000.8940.517
5세 수업일수0.9940.9941.0001.000-0.0510.7431.0000.8820.563
혼합연령수업일수NaNNaN1.0001.0000.3100.5350.0001.0000.451
방과후 과정수업일수-0.222-0.157-0.0510.3101.0000.0001.0000.5770.263
실립유형0.7800.7630.7430.5350.0001.0001.0000.0000.154
특수학급수업일수1.0001.0001.0000.0001.0001.0001.0001.0001.000
법정일수이하여부0.8900.8940.8821.0000.5770.0001.0001.0000.983
공시차수0.5250.5170.5630.4510.2630.1541.0000.9831.000

Missing values

2024-03-14T02:04:25.923975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T02:04:26.064501image/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.
2024-03-14T02:04:26.171135image/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
0서울특별시교육청성동광진교육지원청1ecec08c-eee1-b044-e053-0a32095ab044선경유치원사립(법인)200200199<NA><NA>225NN20231서울특별시 광진구 뚝섬로66길 14
1서울특별시교육청성동광진교육지원청1ecec08c-eee2-b044-e053-0a32095ab044성산유치원사립(법인)219219219<NA><NA>250NN20231서울특별시 광진구 뚝섬로59길 18
2서울특별시교육청성동광진교육지원청1ecec08c-eee3-b044-e053-0a32095ab044자양유치원사립(사인)<NA><NA>165165<NA>248Y<NA>20201서울특별시 광진구 자양로5길 36
3서울특별시교육청성동광진교육지원청1ecec08c-eee4-b044-e053-0a32095ab044프라임유치원사립(사인)209209210<NA><NA>237NN20231서울특별시 광진구 광나루로56길 5
4서울특별시교육청성동광진교육지원청1ecec08c-f0da-b044-e053-0a32095ab044서울자양초등학교병설유치원공립(병설)181181181<NA><NA>251NN20231서울특별시 광진구 아차산로44길 26
5서울특별시교육청성동광진교육지원청1ecec08c-f1c6-b044-e053-0a32095ab044광남유치원사립(사인)209209210<NA><NA>238NN20231서울특별시 광진구 아차산로70길 40
6서울특별시교육청성동광진교육지원청1ecec08c-f331-b044-e053-0a32095ab044어린이회관유치원사립(법인)212212213<NA><NA>328NN20231서울특별시 광진구 광나루로 441
7서울특별시교육청성동광진교육지원청1ecec08c-f332-b044-e053-0a32095ab044영화유치원사립(사인)<NA>222222<NA><NA>264NN20231서울특별시 광진구 영화사로 105
8서울특별시교육청성동광진교육지원청1ecec08c-f504-b044-e053-0a32095ab044동인유치원사립(사인)<NA><NA><NA>217<NA>244<NA><NA>20181서울특별시 광진구 자양로30길 6
9서울특별시교육청성동광진교육지원청1ecec08c-f562-b044-e053-0a32095ab044예일유치원사립(사인)<NA><NA>245245<NA>252<NA><NA>20191서울특별시 광진구 천호대로111길 41
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
28서울특별시교육청성동광진교육지원청1ecec08d-0754-b044-e053-0a32095ab044경하유치원사립(사인)<NA><NA><NA>204<NA>296<NA><NA>20181서울특별시 광진구 동일로72길 9
29서울특별시교육청성동광진교육지원청1ecec08d-0840-b044-e053-0a32095ab044한일유치원사립(사인)208208208<NA><NA>232NN20231서울특별시 광진구 뚝섬로35길 16-20
30서울특별시교육청성동광진교육지원청1ecec08d-0adc-b044-e053-0a32095ab044미파유치원사립(사인)<NA><NA><NA>234<NA>293<NA><NA>20191서울특별시 광진구 용마산로 185
31서울특별시교육청성동광진교육지원청1ecec08d-0add-b044-e053-0a32095ab044서울구의초등학교병설유치원공립(병설)180180181<NA>181249NN20231서울특별시 광진구 광나루로30길 49
32서울특별시교육청성동광진교육지원청1ecec08d-0ba1-b044-e053-0a32095ab044서울양진초등학교병설유치원공립(병설)181181182<NA><NA>249NN20231서울특별시 광진구 워커힐로 32
33서울특별시교육청성동광진교육지원청1ecec08d-0e4a-b044-e053-0a32095ab044선양유치원사립(사인)229229229<NA><NA>242NN20231서울특별시 광진구 동일로 256-1
34서울특별시교육청성동광진교육지원청1ecec08d-0f37-b044-e053-0a32095ab044샬롬유치원사립(법인)219219219<NA><NA>238NN20221서울특별시 광진구 아차산로65길 65
35서울특별시교육청성동광진교육지원청74e1e803-e7d0-4cb0-a8d9-087fb5e7f80f서울중광초등학교병설유치원공립(병설)181181181<NA>181252NN20231서울특별시 광진구 긴고랑로13길 59
36서울특별시교육청성동광진교육지원청ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952서울용곡초등학교병설유치원공립(병설)181181181<NA><NA>250NN20231서울특별시 광진구 용마산로22길 82
37서울특별시교육청성동광진교육지원청db6bc219-29b5-48d3-af79-797756d3a7a6서울신양초등학교병설유치원공립(병설)180180180<NA><NA>249NN20231서울특별시 광진구 능동로 42