Overview

Dataset statistics

Number of variables15
Number of observations77
Missing cells122
Missing cells (%)10.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory128.7 B

Variable types

Categorical5
Text3
Numeric5
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-20689/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 혼합연령수업일수 and 2 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 5 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 3세 수업일수 and 5 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 특수학급수업일수 and 1 other fieldsHigh correlation
실립유형 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
특수학급수업일수 is highly imbalanced (78.2%)Imbalance
법정일수이하여부 is highly imbalanced (66.6%)Imbalance
3세 수업일수 has 13 (16.9%) missing valuesMissing
4세 수업일수 has 7 (9.1%) missing valuesMissing
5세 수업일수 has 4 (5.2%) missing valuesMissing
혼합연령수업일수 has 70 (90.9%) missing valuesMissing
법정일수이하여부 has 12 (15.6%) missing valuesMissing
신설유치원여부 has 16 (20.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 12:02:08.426152
Analysis finished2024-03-13 12:02:11.660116
Duration3.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
서울특별시교육청
77 

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 77
100.0%

Length

2024-03-13T21:02:11.734019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:02:11.818821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 77
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
북부교육지원청
77 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 77
100.0%

Length

2024-03-13T21:02:11.899849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:02:11.991015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 77
100.0%

유치원코드
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T21:02:12.180203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2772
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

Unique77 ?
Unique (%)100.0%

Sample

1st row0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3
2nd row1ecec08c-ed86-b044-e053-0a32095ab044
3rd row1ecec08c-ed88-b044-e053-0a32095ab044
4th row1ecec08c-eed1-b044-e053-0a32095ab044
5th row1ecec08c-ef26-b044-e053-0a32095ab044
ValueCountFrequency (%)
0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3 1
 
1.3%
1ecec08d-0151-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0bb4-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0b2d-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0b2c-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09d0-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c4-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c3-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c2-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-08f6-b044-e053-0a32095ab044 1
 
1.3%
Other values (67) 67
87.0%
2024-03-13T21:02:12.500159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 461
16.6%
4 318
11.5%
- 308
11.1%
e 246
8.9%
c 201
7.3%
3 165
 
6.0%
5 161
 
5.8%
b 160
 
5.8%
a 155
 
5.6%
1 105
 
3.8%
Other values (7) 492
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1560
56.3%
Lowercase Letter 904
32.6%
Dash Punctuation 308
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 461
29.6%
4 318
20.4%
3 165
 
10.6%
5 161
 
10.3%
1 105
 
6.7%
8 98
 
6.3%
2 95
 
6.1%
9 94
 
6.0%
6 36
 
2.3%
7 27
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 246
27.2%
c 201
22.2%
b 160
17.7%
a 155
17.1%
d 73
 
8.1%
f 69
 
7.6%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1868
67.4%
Latin 904
32.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 461
24.7%
4 318
17.0%
- 308
16.5%
3 165
 
8.8%
5 161
 
8.6%
1 105
 
5.6%
8 98
 
5.2%
2 95
 
5.1%
9 94
 
5.0%
6 36
 
1.9%
Latin
ValueCountFrequency (%)
e 246
27.2%
c 201
22.2%
b 160
17.7%
a 155
17.1%
d 73
 
8.1%
f 69
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 461
16.6%
4 318
11.5%
- 308
11.1%
e 246
8.9%
c 201
7.3%
3 165
 
6.0%
5 161
 
5.8%
b 160
 
5.8%
a 155
 
5.6%
1 105
 
3.8%
Other values (7) 492
17.7%

유치원명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T21:02:12.734663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2207792
Min length5

Characters and Unicode

Total characters556
Distinct characters102
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row서울상계초등학교병설유치원
2nd row한울유치원
3rd row효천유치원
4th row영은유치원
5th row키즈위즈유치원
ValueCountFrequency (%)
서울상계초등학교병설유치원 1
 
1.3%
새봄유치원 1
 
1.3%
꿈터유치원 1
 
1.3%
한양유치원 1
 
1.3%
토마토유치원 1
 
1.3%
원암유치원 1
 
1.3%
사랑샘유치원 1
 
1.3%
아랑유치원 1
 
1.3%
서울노일유치원 1
 
1.3%
삼육대학교부속유치원 1
 
1.3%
Other values (69) 69
87.3%
2024-03-13T21:02:13.086591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 83
14.9%
치 78
14.0%
유 77
13.8%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (92) 189
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
99.6%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (91) 187
33.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (91) 187
33.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (91) 187
33.8%
ASCII
ValueCountFrequency (%)
2
100.0%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
사립(사인)
49 
공립(병설)
16 
사립(법인)
9 
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(사인)
4th row사립(사인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 49
63.6%
공립(병설) 16
 
20.8%
사립(법인) 9
 
11.7%
공립(단설) 3
 
3.9%

Length

2024-03-13T21:02:13.239919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:02:13.369534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 49
63.6%
공립(병설 16
 
20.8%
사립(법인 9
 
11.7%
공립(단설 3
 
3.9%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct38
Distinct (%)59.4%
Missing13
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean211.39062
Minimum151
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-13T21:02:13.480570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile180
Q1190.75
median219.5
Q3228
95-th percentile237.85
Maximum241
Range90
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation22.349757
Coefficient of variation (CV)0.10572729
Kurtosis-0.54596887
Mean211.39062
Median Absolute Deviation (MAD)12
Skewness-0.71983903
Sum13529
Variance499.51166
MonotonicityNot monotonic
2024-03-13T21:02:13.600672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
181 8
 
10.4%
222 5
 
6.5%
180 3
 
3.9%
224 3
 
3.9%
228 3
 
3.9%
236 3
 
3.9%
182 2
 
2.6%
231 2
 
2.6%
225 2
 
2.6%
210 2
 
2.6%
Other values (28) 31
40.3%
(Missing) 13
16.9%
ValueCountFrequency (%)
151 1
 
1.3%
162 1
 
1.3%
180 3
 
3.9%
181 8
10.4%
182 2
 
2.6%
184 1
 
1.3%
193 1
 
1.3%
194 1
 
1.3%
200 1
 
1.3%
201 1
 
1.3%
ValueCountFrequency (%)
241 1
 
1.3%
240 1
 
1.3%
239 1
 
1.3%
238 1
 
1.3%
237 1
 
1.3%
236 3
3.9%
235 1
 
1.3%
234 1
 
1.3%
232 1
 
1.3%
231 2
2.6%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct38
Distinct (%)54.3%
Missing7
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean209.82857
Minimum151
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-13T21:02:13.718442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile180
Q1182
median217
Q3228
95-th percentile237.55
Maximum241
Range90
Interquartile range (IQR)46

Descriptive statistics

Standard deviation22.760232
Coefficient of variation (CV)0.1084706
Kurtosis-0.89654115
Mean209.82857
Median Absolute Deviation (MAD)15.5
Skewness-0.53339107
Sum14688
Variance518.02816
MonotonicityNot monotonic
2024-03-13T21:02:13.857902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
181 11
 
14.3%
222 5
 
6.5%
180 4
 
5.2%
211 3
 
3.9%
224 3
 
3.9%
228 3
 
3.9%
236 3
 
3.9%
182 2
 
2.6%
225 2
 
2.6%
210 2
 
2.6%
Other values (28) 32
41.6%
(Missing) 7
 
9.1%
ValueCountFrequency (%)
151 1
 
1.3%
162 1
 
1.3%
180 4
 
5.2%
181 11
14.3%
182 2
 
2.6%
184 1
 
1.3%
193 1
 
1.3%
194 1
 
1.3%
200 1
 
1.3%
201 1
 
1.3%
ValueCountFrequency (%)
241 1
 
1.3%
240 1
 
1.3%
239 1
 
1.3%
238 1
 
1.3%
237 2
2.6%
236 3
3.9%
235 1
 
1.3%
234 1
 
1.3%
232 1
 
1.3%
231 2
2.6%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct37
Distinct (%)50.7%
Missing4
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean209.72603
Minimum151
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-13T21:02:13.972193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile180
Q1182
median217
Q3230
95-th percentile237.4
Maximum241
Range90
Interquartile range (IQR)48

Descriptive statistics

Standard deviation23.291785
Coefficient of variation (CV)0.11105815
Kurtosis-1.0269397
Mean209.72603
Median Absolute Deviation (MAD)17
Skewness-0.50233054
Sum15310
Variance542.50723
MonotonicityNot monotonic
2024-03-13T21:02:14.081212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
181 11
 
14.3%
182 5
 
6.5%
222 4
 
5.2%
230 3
 
3.9%
228 3
 
3.9%
224 3
 
3.9%
236 3
 
3.9%
232 2
 
2.6%
194 2
 
2.6%
180 2
 
2.6%
Other values (27) 35
45.5%
(Missing) 4
 
5.2%
ValueCountFrequency (%)
151 1
 
1.3%
162 1
 
1.3%
171 1
 
1.3%
180 2
 
2.6%
181 11
14.3%
182 5
6.5%
185 1
 
1.3%
194 2
 
2.6%
200 1
 
1.3%
201 1
 
1.3%
ValueCountFrequency (%)
241 1
 
1.3%
240 1
 
1.3%
239 1
 
1.3%
238 1
 
1.3%
237 2
2.6%
236 3
3.9%
235 2
2.6%
234 1
 
1.3%
232 2
2.6%
231 2
2.6%

혼합연령수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing70
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean203
Minimum180
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-13T21:02:14.179057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180.6
Q1188
median204
Q3214.5
95-th percentile227.2
Maximum232
Range52
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation18.982448
Coefficient of variation (CV)0.093509596
Kurtosis-0.99094544
Mean203
Median Absolute Deviation (MAD)12
Skewness0.18523368
Sum1421
Variance360.33333
MonotonicityNot monotonic
2024-03-13T21:02:14.277910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
213 1
 
1.3%
204 1
 
1.3%
232 1
 
1.3%
216 1
 
1.3%
194 1
 
1.3%
182 1
 
1.3%
180 1
 
1.3%
(Missing) 70
90.9%
ValueCountFrequency (%)
180 1
1.3%
182 1
1.3%
194 1
1.3%
204 1
1.3%
213 1
1.3%
216 1
1.3%
232 1
1.3%
ValueCountFrequency (%)
232 1
1.3%
216 1
1.3%
213 1
1.3%
204 1
1.3%
194 1
1.3%
182 1
1.3%
180 1
1.3%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
72 
181
 
3
180
 
1
185
 
1

Length

Max length4
Median length4
Mean length3.9350649
Min length3

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
93.5%
181 3
 
3.9%
180 1
 
1.3%
185 1
 
1.3%

Length

2024-03-13T21:02:14.396202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:02:14.496662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
93.5%
181 3
 
3.9%
180 1
 
1.3%
185 1
 
1.3%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.22078
Minimum180
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-13T21:02:14.598050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile217.4
Q1236
median244
Q3249
95-th percentile253
Maximum300
Range120
Interquartile range (IQR)13

Descriptive statistics

Standard deviation16.463375
Coefficient of variation (CV)0.068250236
Kurtosis6.3954398
Mean241.22078
Median Absolute Deviation (MAD)6
Skewness-0.98483616
Sum18574
Variance271.04272
MonotonicityNot monotonic
2024-03-13T21:02:14.713021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
249 13
16.9%
250 7
 
9.1%
242 5
 
6.5%
251 4
 
5.2%
236 4
 
5.2%
243 3
 
3.9%
237 3
 
3.9%
247 3
 
3.9%
231 3
 
3.9%
238 2
 
2.6%
Other values (22) 30
39.0%
ValueCountFrequency (%)
180 2
2.6%
198 1
 
1.3%
203 1
 
1.3%
221 1
 
1.3%
225 1
 
1.3%
227 1
 
1.3%
228 1
 
1.3%
230 1
 
1.3%
231 3
3.9%
232 2
2.6%
ValueCountFrequency (%)
300 1
 
1.3%
282 1
 
1.3%
260 1
 
1.3%
253 2
 
2.6%
251 4
 
5.2%
250 7
9.1%
249 13
16.9%
248 1
 
1.3%
247 3
 
3.9%
246 2
 
2.6%

법정일수이하여부
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)3.1%
Missing12
Missing (%)15.6%
Memory size286.0 B
False
61 
True
 
4
(Missing)
12 
ValueCountFrequency (%)
False 61
79.2%
True 4
 
5.2%
(Missing) 12
 
15.6%
2024-03-13T21:02:14.823650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.6%
Missing16
Missing (%)20.8%
Memory size286.0 B
False
61 
(Missing)
16 
ValueCountFrequency (%)
False 61
79.2%
(Missing) 16
 
20.8%
2024-03-13T21:02:14.907386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
20231
58 
20201
6 
20191
 
5
20181
 
5
20211
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231
2nd row20211
3rd row20231
4th row20201
5th row20231

Common Values

ValueCountFrequency (%)
20231 58
75.3%
20201 6
 
7.8%
20191 5
 
6.5%
20181 5
 
6.5%
20211 3
 
3.9%

Length

2024-03-13T21:02:14.998972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:02:15.110218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 58
75.3%
20201 6
 
7.8%
20191 5
 
6.5%
20181 5
 
6.5%
20211 3
 
3.9%

주소
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T21:02:15.380690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.077922
Min length15

Characters and Unicode

Total characters1469
Distinct characters54
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

Unique71 ?
Unique (%)92.2%

Sample

1st row서울특별시 노원구 상계로9길 39
2nd row서울특별시 노원구 덕릉로122길 12-6
3rd row서울특별시 노원구 중계로18길 14
4th row서울특별시 노원구 동일로213길 78
5th row서울특별시 노원구 덕릉로86길 65
ValueCountFrequency (%)
노원구 77
25.0%
서울특별시 76
24.7%
한글비석로 5
 
1.6%
동일로227길 3
 
1.0%
23 3
 
1.0%
26 3
 
1.0%
섬밭로 3
 
1.0%
16 3
 
1.0%
48 2
 
0.6%
화랑로 2
 
0.6%
Other values (111) 131
42.5%
2024-03-13T21:02:15.854068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
15.7%
노 82
 
5.6%
원 82
 
5.6%
서 77
 
5.2%
구 77
 
5.2%
울 77
 
5.2%
특 76
 
5.2%
별 76
 
5.2%
시 76
 
5.2%
로 76
 
5.2%
Other values (44) 539
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
63.0%
Decimal Number 306
 
20.8%
Space Separator 231
 
15.7%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%
Decimal Number
ValueCountFrequency (%)
2 61
19.9%
1 60
19.6%
3 33
10.8%
5 30
9.8%
4 29
9.5%
6 25
8.2%
8 22
 
7.2%
7 20
 
6.5%
9 17
 
5.6%
0 9
 
2.9%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
63.0%
Common 544
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%
Common
ValueCountFrequency (%)
231
42.5%
2 61
 
11.2%
1 60
 
11.0%
3 33
 
6.1%
5 30
 
5.5%
4 29
 
5.3%
6 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
9 17
 
3.1%
Other values (2) 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
63.0%
ASCII 544
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
42.5%
2 61
 
11.2%
1 60
 
11.0%
3 33
 
6.1%
5 30
 
5.5%
4 29
 
5.3%
6 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
9 17
 
3.1%
Other values (2) 16
 
2.9%
Hangul
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%

Interactions

2024-03-13T21:02:10.795424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.014533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.357130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.737753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.405085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.867663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.080037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.425799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.806763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.476586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.938050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.147904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.495181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.177981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.549965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:11.039104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.215276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.566804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.239295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.637052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:11.138664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.283890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:09.648431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.328667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:02:10.712920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:02:15.962501image/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
실립유형1.0001.0001.0000.8900.8990.7521.0001.0000.2830.0910.1110.000
3세 수업일수1.0001.0000.8901.0001.0001.0000.000NaN0.4790.8460.4960.902
4세 수업일수1.0001.0000.8991.0001.0001.0000.000NaN0.4900.8480.4960.903
5세 수업일수1.0001.0000.7521.0001.0001.0001.000NaN0.5640.7690.5330.911
혼합연령수업일수1.0001.0001.0000.0000.0001.0001.000NaN1.000NaN1.0001.000
특수학급수업일수1.0001.0001.000NaNNaNNaNNaN1.000NaNNaNNaN1.000
방과후 과정수업일수1.0001.0000.2830.4790.4900.5641.000NaN1.0001.0000.6250.994
법정일수이하여부1.0001.0000.0910.8460.8480.769NaNNaN1.0001.0001.0001.000
공시차수1.0001.0000.1110.4960.4960.5331.000NaN0.6251.0001.0000.000
주소1.0001.0000.0000.9020.9030.9111.0001.0000.9941.0000.0001.000
2024-03-13T21:02:16.085685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수법정일수이하여부
공시차수1.0000.0861.0000.992
실립유형0.0861.0000.8160.053
특수학급수업일수1.0000.8161.0001.000
법정일수이하여부0.9920.0531.0001.000
2024-03-13T21:02:16.492580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수실립유형특수학급수업일수법정일수이하여부공시차수
3세 수업일수1.0001.0000.9881.000-0.0880.5491.0000.7290.353
4세 수업일수1.0001.0000.9901.000-0.1310.5681.0000.7380.357
5세 수업일수0.9880.9901.0001.000-0.1150.5631.0000.7840.348
혼합연령수업일수1.0001.0001.0001.000-0.3420.7070.0001.0000.707
방과후 과정수업일수-0.088-0.131-0.115-0.3421.0000.1721.0000.9680.468
실립유형0.5490.5680.5630.7070.1721.0000.8160.0530.086
특수학급수업일수1.0001.0001.0000.0001.0000.8161.0001.0001.000
법정일수이하여부0.7290.7380.7841.0000.9680.0531.0001.0000.992
공시차수0.3530.3570.3480.7070.4680.0861.0000.9921.000

Missing values

2024-03-13T21:02:11.252401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:02:11.434418image/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.
2024-03-13T21:02:11.569924image/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
0서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)<NA>181181<NA><NA>251NN20231서울특별시 노원구 상계로9길 39
1서울특별시교육청북부교육지원청1ecec08c-ed86-b044-e053-0a32095ab044한울유치원사립(사인)218218218<NA><NA>234NN20211서울특별시 노원구 덕릉로122길 12-6
2서울특별시교육청북부교육지원청1ecec08c-ed88-b044-e053-0a32095ab044효천유치원사립(사인)213213213<NA><NA>236NN20231서울특별시 노원구 중계로18길 14
3서울특별시교육청북부교육지원청1ecec08c-eed1-b044-e053-0a32095ab044영은유치원사립(사인)151151151<NA><NA>203Y<NA>20201서울특별시 노원구 동일로213길 78
4서울특별시교육청북부교육지원청1ecec08c-ef26-b044-e053-0a32095ab044키즈위즈유치원사립(사인)230230230<NA><NA>236NN20231서울특별시 노원구 덕릉로86길 65
5서울특별시교육청북부교육지원청1ecec08c-efcd-b044-e053-0a32095ab044공릉 사라유치원사립(사인)222222235<NA><NA>238NN20231서울특별시 노원구 동일로198가길 13
6서울특별시교육청북부교육지원청1ecec08c-efce-b044-e053-0a32095ab044상원유치원사립(사인)240240240<NA><NA>244NN20231서울특별시 노원구 노원로19길 33
7서울특별시교육청북부교육지원청1ecec08c-efcf-b044-e053-0a32095ab044서울수락초등학교병설유치원공립(병설)181181181<NA>181249NN20231서울특별시 노원구 동일로 1745
8서울특별시교육청북부교육지원청1ecec08c-efd7-b044-e053-0a32095ab044육사유치원사립(사인)217217217<NA><NA>242NN20231서울 노원구 공릉동 24-1
9서울특별시교육청북부교육지원청1ecec08c-efd8-b044-e053-0a32095ab044이레유치원사립(사인)<NA><NA><NA>213<NA>243<NA><NA>20191서울특별시 노원구 월계로55길 16
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
67서울특별시교육청북부교육지원청1ecec08d-0ef1-b044-e053-0a32095ab044노원 삼육유치원사립(법인)201201201<NA><NA>260NN20231서울특별시 노원구 공릉로42길 13-1
68서울특별시교육청북부교육지원청1ff76abf-a519-49f7-9c73-cdb63feb87e7서울연지유치원공립(단설)180180181<NA>180249NN20231서울특별시 노원구 월계로55길 16
69서울특별시교육청북부교육지원청233930d4-6ab2-4671-88de-f431e1ea4801서울수락산유치원공립(단설)184184185<NA>185250NN20231서울특별시 노원구 동일로245길 162
70서울특별시교육청북부교육지원청30a543a1-a1cd-4d01-b5a2-1ff881664d96서울상원초등학교병설유치원공립(병설)<NA>180180<NA><NA>246NN20231서울특별시 노원구 한글비석로54길 119
71서울특별시교육청북부교육지원청5273f8fa-4226-465b-8a8e-83d366b4c2fe서울당현초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 노원구 동일로213길 52
72서울특별시교육청북부교육지원청55377202-19bf-46f9-93eb-e81f4c49ddba서울용동초등학교병설유치원공립(병설)<NA>181181<NA><NA>251NN20231서울특별시 노원구 한글비석로1길 81-11
73서울특별시교육청북부교육지원청7594e46b-0646-4ce2-9bce-ad3493a6b4ad꿈동산아이유치원사립(법인)217217217<NA><NA>244NN20231서울특별시 노원구 동일로227길 26
74서울특별시교육청북부교육지원청7b5c2e25-68ac-47e2-b661-53b594c85e6f서울공연초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 노원구 동일로192가길 16
75서울특별시교육청북부교육지원청d2ef6fed-c1e4-417d-8794-73f74106491f서울계상초등학교병설유치원공립(병설)<NA><NA><NA>180<NA>249NN20231서울특별시 노원구 한글비석로41가길 24
76서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)<NA>181182<NA><NA>249NN20231서울특별시 노원구 노원로1길 36