Overview

Dataset statistics

Number of variables15
Number of observations53
Missing cells73
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory129.5 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20686/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
법정일수이하여부 has constant value ""Constant
신설유치원여부 has constant value ""Constant
공시차수 is highly overall correlated with 특수학급수업일수High correlation
특수학급수업일수 is highly overall correlated with 3세 수업일수 and 4 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 3 other fieldsHigh correlation
5세 수업일수 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 5세 수업일수 and 2 other fieldsHigh correlation
방과후 과정수업일수 is highly overall correlated with 혼합연령수업일수High correlation
실립유형 is highly overall correlated with 3세 수업일수 and 4 other fieldsHigh correlation
특수학급수업일수 is highly imbalanced (61.6%)Imbalance
공시차수 is highly imbalanced (62.3%)Imbalance
3세 수업일수 has 7 (13.2%) missing valuesMissing
4세 수업일수 has 6 (11.3%) missing valuesMissing
5세 수업일수 has 1 (1.9%) missing valuesMissing
혼합연령수업일수 has 47 (88.7%) missing valuesMissing
법정일수이하여부 has 6 (11.3%) missing valuesMissing
신설유치원여부 has 6 (11.3%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 15:04:38.444571
Analysis finished2024-03-13 15:04:41.774650
Duration3.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
서울특별시교육청
53 

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 53
100.0%

Length

2024-03-14T00:04:41.849657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:04:41.943429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 53
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
성북강북교육지원청
53 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

Length

2024-03-14T00:04:42.029356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:04:42.114307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

유치원코드
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T00:04:42.305145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1908
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

Unique53 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ee4e-b044-e053-0a32095ab044
2nd row1ecec08c-ee4f-b044-e053-0a32095ab044
3rd row1ecec08c-ee50-b044-e053-0a32095ab044
4th row1ecec08c-ef05-b044-e053-0a32095ab044
5th row1ecec08c-ef38-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ee4e-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-016f-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0268-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0269-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-02aa-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0426-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0427-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0428-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0429-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-062f-b044-e053-0a32095ab044 1
 
1.9%
Other values (43) 43
81.1%
2024-03-14T00:04:42.664315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
56.7%
Lowercase Letter 614
32.2%
Dash Punctuation 212
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
31.1%
4 221
20.4%
5 113
 
10.4%
3 113
 
10.4%
9 72
 
6.7%
2 70
 
6.5%
8 66
 
6.1%
1 65
 
6.0%
6 14
 
1.3%
7 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
67.8%
Latin 614
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
26.0%
4 221
17.1%
- 212
16.4%
5 113
 
8.7%
3 113
 
8.7%
9 72
 
5.6%
2 70
 
5.4%
8 66
 
5.1%
1 65
 
5.0%
6 14
 
1.1%
Latin
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

유치원명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T00:04:42.908839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6037736
Min length5

Characters and Unicode

Total characters403
Distinct characters92
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

Unique53 ?
Unique (%)100.0%

Sample

1st row개동유치원
2nd row영광유치원
3rd row은영유치원
4th row두산효자유치원
5th row새싹유치원
ValueCountFrequency (%)
개동유치원 1
 
1.9%
서울동신초등학교병설유치원 1
 
1.9%
새삼선유치원 1
 
1.9%
반디유치원 1
 
1.9%
한가람유치원 1
 
1.9%
서울길음유치원 1
 
1.9%
서울삼선초등학교병설유치원 1
 
1.9%
서울성북초등학교병설유치원 1
 
1.9%
서울숭곡초등학교병설유치원 1
 
1.9%
루이유치원 1
 
1.9%
Other values (43) 43
81.1%
2024-03-14T00:04:43.301982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
서 17
 
4.2%
울 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
병 13
 
3.2%
Other values (82) 141
35.0%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
사립(사인)
20 
사립(법인)
17 
공립(병설)
13 
공립(단설)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
37.7%
사립(법인) 17
32.1%
공립(병설) 13
24.5%
공립(단설) 3
 
5.7%

Length

2024-03-14T00:04:43.449404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:04:43.563404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
37.7%
사립(법인 17
32.1%
공립(병설 13
24.5%
공립(단설 3
 
5.7%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)47.8%
Missing7
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean205
Minimum180
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T00:04:43.665070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median208.5
Q3214
95-th percentile236.75
Maximum241
Range61
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.652537
Coefficient of variation (CV)0.095866036
Kurtosis-1.0923178
Mean205
Median Absolute Deviation (MAD)18
Skewness0.082568483
Sum9430
Variance386.22222
MonotonicityNot monotonic
2024-03-14T00:04:43.773390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181 10
18.9%
180 4
 
7.5%
211 3
 
5.7%
213 3
 
5.7%
214 3
 
5.7%
206 3
 
5.7%
212 2
 
3.8%
207 2
 
3.8%
231 2
 
3.8%
210 2
 
3.8%
Other values (12) 12
22.6%
(Missing) 7
13.2%
ValueCountFrequency (%)
180 4
 
7.5%
181 10
18.9%
182 1
 
1.9%
200 1
 
1.9%
201 1
 
1.9%
204 1
 
1.9%
206 3
 
5.7%
207 2
 
3.8%
210 2
 
3.8%
211 3
 
5.7%
ValueCountFrequency (%)
241 1
 
1.9%
240 1
 
1.9%
237 1
 
1.9%
236 1
 
1.9%
233 1
 
1.9%
231 2
3.8%
230 1
 
1.9%
223 1
 
1.9%
221 1
 
1.9%
214 3
5.7%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)51.1%
Missing6
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean205.46809
Minimum180
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T00:04:43.890060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median210
Q3214
95-th percentile236.7
Maximum241
Range61
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.640078
Coefficient of variation (CV)0.095587
Kurtosis-1.1192616
Mean205.46809
Median Absolute Deviation (MAD)14
Skewness0.026849289
Sum9657
Variance385.73265
MonotonicityNot monotonic
2024-03-14T00:04:44.047666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
181 10
18.9%
180 4
 
7.5%
214 3
 
5.7%
211 3
 
5.7%
213 3
 
5.7%
210 2
 
3.8%
206 2
 
3.8%
212 2
 
3.8%
231 2
 
3.8%
208 2
 
3.8%
Other values (14) 14
26.4%
(Missing) 6
11.3%
ValueCountFrequency (%)
180 4
 
7.5%
181 10
18.9%
182 1
 
1.9%
200 1
 
1.9%
201 1
 
1.9%
204 1
 
1.9%
206 2
 
3.8%
207 1
 
1.9%
208 2
 
3.8%
210 2
 
3.8%
ValueCountFrequency (%)
241 1
1.9%
240 1
1.9%
237 1
1.9%
236 1
1.9%
233 1
1.9%
231 2
3.8%
230 1
1.9%
224 1
1.9%
223 1
1.9%
221 1
1.9%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)51.9%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean207.32692
Minimum180
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T00:04:44.176871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile181
Q1182
median210
Q3223.25
95-th percentile240.45
Maximum255
Range75
Interquartile range (IQR)41.25

Descriptive statistics

Standard deviation21.071048
Coefficient of variation (CV)0.10163199
Kurtosis-0.90804712
Mean207.32692
Median Absolute Deviation (MAD)19.5
Skewness0.16174369
Sum10781
Variance443.98906
MonotonicityNot monotonic
2024-03-14T00:04:44.302639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
181 10
18.9%
212 4
 
7.5%
182 4
 
7.5%
231 4
 
7.5%
211 2
 
3.8%
213 2
 
3.8%
210 2
 
3.8%
206 2
 
3.8%
208 2
 
3.8%
180 2
 
3.8%
Other values (17) 18
34.0%
ValueCountFrequency (%)
180 2
 
3.8%
181 10
18.9%
182 4
 
7.5%
200 1
 
1.9%
201 1
 
1.9%
203 1
 
1.9%
204 1
 
1.9%
205 1
 
1.9%
206 2
 
3.8%
208 2
 
3.8%
ValueCountFrequency (%)
255 1
 
1.9%
246 1
 
1.9%
241 1
 
1.9%
240 1
 
1.9%
237 1
 
1.9%
233 1
 
1.9%
231 4
7.5%
228 1
 
1.9%
226 1
 
1.9%
224 1
 
1.9%

혼합연령수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)100.0%
Missing47
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean223
Minimum180
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T00:04:44.404489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile185.75
Q1208.75
median227
Q3241.5
95-th percentile252.75
Maximum255
Range75
Interquartile range (IQR)32.75

Descriptive statistics

Standard deviation27.698375
Coefficient of variation (CV)0.12420796
Kurtosis-0.41314801
Mean223
Median Absolute Deviation (MAD)21.5
Skewness-0.59886513
Sum1338
Variance767.2
MonotonicityNot monotonic
2024-03-14T00:04:44.509402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
246 1
 
1.9%
255 1
 
1.9%
226 1
 
1.9%
180 1
 
1.9%
203 1
 
1.9%
228 1
 
1.9%
(Missing) 47
88.7%
ValueCountFrequency (%)
180 1
1.9%
203 1
1.9%
226 1
1.9%
228 1
1.9%
246 1
1.9%
255 1
1.9%
ValueCountFrequency (%)
255 1
1.9%
246 1
1.9%
228 1
1.9%
226 1
1.9%
203 1
1.9%
180 1
1.9%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
46 
180
 
3
181
 
2
182
 
2

Length

Max length4
Median length4
Mean length3.8679245
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> 46
86.8%
180 3
 
5.7%
181 2
 
3.8%
182 2
 
3.8%

Length

2024-03-14T00:04:44.636745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:04:44.730383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
86.8%
180 3
 
5.7%
181 2
 
3.8%
182 2
 
3.8%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.64151
Minimum223
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-03-14T00:04:44.822664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum223
5-th percentile229.6
Q1237
median249
Q3250
95-th percentile298
Maximum312
Range89
Interquartile range (IQR)13

Descriptive statistics

Standard deviation20.0941
Coefficient of variation (CV)0.080170679
Kurtosis2.129688
Mean250.64151
Median Absolute Deviation (MAD)3
Skewness1.5647326
Sum13284
Variance403.77286
MonotonicityNot monotonic
2024-03-14T00:04:44.922136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
249 11
20.8%
250 10
18.9%
233 4
 
7.5%
248 4
 
7.5%
298 3
 
5.7%
237 3
 
5.7%
234 1
 
1.9%
252 1
 
1.9%
223 1
 
1.9%
312 1
 
1.9%
Other values (14) 14
26.4%
ValueCountFrequency (%)
223 1
 
1.9%
224 1
 
1.9%
229 1
 
1.9%
230 1
 
1.9%
231 1
 
1.9%
232 1
 
1.9%
233 4
7.5%
234 1
 
1.9%
237 3
5.7%
238 1
 
1.9%
ValueCountFrequency (%)
312 1
 
1.9%
299 1
 
1.9%
298 3
 
5.7%
290 1
 
1.9%
278 1
 
1.9%
265 1
 
1.9%
253 1
 
1.9%
252 1
 
1.9%
250 10
18.9%
249 11
20.8%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.1%
Missing6
Missing (%)11.3%
Memory size238.0 B
False
47 
(Missing)
6 
ValueCountFrequency (%)
False 47
88.7%
(Missing) 6
 
11.3%
2024-03-14T00:04:45.003884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.1%
Missing6
Missing (%)11.3%
Memory size238.0 B
False
47 
(Missing)
6 
ValueCountFrequency (%)
False 47
88.7%
(Missing) 6
 
11.3%
2024-03-14T00:04:45.065947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
20231
46 
20181
 
3
20191
 
3
20221
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
20231 46
86.8%
20181 3
 
5.7%
20191 3
 
5.7%
20221 1
 
1.9%

Length

2024-03-14T00:04:45.152422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T00:04:45.243073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 46
86.8%
20181 3
 
5.7%
20191 3
 
5.7%
20221 1
 
1.9%

주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-14T00:04:45.495127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.207547
Min length16

Characters and Unicode

Total characters965
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)90.6%

Sample

1st row서울특별시 성북구 보국문로 143
2nd row서울특별시 성북구 북악산로 913
3rd row서울특별시 성북구 보문사길 18
4th row서울특별시 성북구 화랑로48길 16
5th row서울특별시 성북구 정릉로 282
ValueCountFrequency (%)
서울특별시 53
25.0%
성북구 53
25.0%
성북로4길 4
 
1.9%
52 4
 
1.9%
16 3
 
1.4%
보문사길 2
 
0.9%
삼양로 2
 
0.9%
73 2
 
0.9%
66 2
 
0.9%
성북로 2
 
0.9%
Other values (79) 85
40.1%
2024-03-14T00:04:45.892635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.5%
북 62
 
6.4%
성 60
 
6.2%
서 56
 
5.8%
구 53
 
5.5%
울 53
 
5.5%
시 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
로 51
 
5.3%
Other values (48) 312
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
65.7%
Decimal Number 170
 
17.6%
Space Separator 159
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 28
16.5%
4 21
12.4%
3 17
10.0%
5 15
8.8%
6 15
8.8%
7 11
 
6.5%
9 10
 
5.9%
8 9
 
5.3%
0 9
 
5.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
65.7%
Common 331
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Common
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
65.7%
ASCII 331
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
8 9
 
2.7%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%

Interactions

2024-03-14T00:04:40.552713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:38.865684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.321416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.731987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.164661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.929326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:38.965781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.395377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.810138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.250061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.995950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.079327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.472793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.888090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.324652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:41.078746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.184033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.557503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.978097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.406446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:41.200711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.251523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:39.644388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.079858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T00:04:40.485594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T00:04:45.991503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.9050.8980.7481.0001.0000.4740.1020.658
3세 수업일수1.0001.0000.9051.0001.0000.994NaNNaN0.4890.5640.996
4세 수업일수1.0001.0000.8981.0001.0000.994NaNNaN0.5100.5390.987
5세 수업일수1.0001.0000.7480.9940.9941.0001.000NaN0.8880.3190.000
혼합연령수업일수1.0001.0001.000NaNNaN1.0001.000NaN1.0000.0001.000
특수학급수업일수1.0001.0001.000NaNNaNNaNNaN1.0000.000NaN1.000
방과후 과정수업일수1.0001.0000.4740.4890.5100.8881.0000.0001.0000.2560.000
공시차수1.0001.0000.1020.5640.5390.3190.000NaN0.2561.0000.000
주소1.0001.0000.6580.9960.9870.0001.0001.0000.0000.0001.000
2024-03-14T00:04:46.110104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수
공시차수1.0000.0231.000
실립유형0.0231.0000.894
특수학급수업일수1.0000.8941.000
2024-03-14T00:04:46.212353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수방과후 과정수업일수실립유형특수학급수업일수공시차수
3세 수업일수1.0000.9990.986NaN-0.0880.5851.0000.420
4세 수업일수0.9991.0000.985NaN-0.1160.5741.0000.397
5세 수업일수0.9860.9851.0001.000-0.0000.5621.0000.209
혼합연령수업일수NaNNaN1.0001.0000.6570.707NaN0.000
방과후 과정수업일수-0.088-0.116-0.0000.6571.0000.3120.0000.139
실립유형0.5850.5740.5620.7070.3121.0000.8940.023
특수학급수업일수1.0001.0001.000NaN0.0000.8941.0001.000
공시차수0.4200.3970.2090.0000.1390.0231.0001.000

Missing values

2024-03-14T00:04:41.349250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T00:04:41.538179image/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.
2024-03-14T00:04:41.667952image/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
0서울특별시교육청성북강북교육지원청1ecec08c-ee4e-b044-e053-0a32095ab044개동유치원사립(법인)221221221<NA><NA>241NN20231서울특별시 성북구 보국문로 143
1서울특별시교육청성북강북교육지원청1ecec08c-ee4f-b044-e053-0a32095ab044영광유치원사립(사인)230230231<NA><NA>237NN20231서울특별시 성북구 북악산로 913
2서울특별시교육청성북강북교육지원청1ecec08c-ee50-b044-e053-0a32095ab044은영유치원사립(법인)210210210<NA><NA>229NN20231서울특별시 성북구 보문사길 18
3서울특별시교육청성북강북교육지원청1ecec08c-ef05-b044-e053-0a32095ab044두산효자유치원사립(사인)206206206<NA><NA>298NN20231서울특별시 성북구 화랑로48길 16
4서울특별시교육청성북강북교육지원청1ecec08c-ef38-b044-e053-0a32095ab044새싹유치원사립(법인)212212212<NA><NA>238NN20231서울특별시 성북구 정릉로 282
5서울특별시교육청성북강북교육지원청1ecec08c-efed-b044-e053-0a32095ab044영암유치원사립(법인)211211212<NA><NA>250NN20231서울특별시 성북구 안암로7길 66
6서울특별시교육청성북강북교육지원청1ecec08c-efee-b044-e053-0a32095ab044성신유치원사립(법인)206206206<NA><NA>230NN20231서울특별시 성북구 보문로34다길 2
7서울특별시교육청성북강북교육지원청1ecec08c-f051-b044-e053-0a32095ab044서울장곡초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 성북구 장월로23길 16
8서울특별시교육청성북강북교육지원청1ecec08c-f350-b044-e053-0a32095ab044빛나라유치원사립(사인)240240240<NA><NA>290<NA><NA>20181서울특별시 성북구 종암로9길 78
9서울특별시교육청성북강북교육지원청1ecec08c-f372-b044-e053-0a32095ab044선한유치원사립(법인)207207208<NA><NA>237NN20231서울특별시 성북구 길음로9길 73
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
43서울특별시교육청성북강북교육지원청1ecec08d-0ae6-b044-e053-0a32095ab044좋은나라유치원사립(사인)213213213<NA><NA>237NN20231서울특별시 성북구 종암로24가길 53
44서울특별시교육청성북강북교육지원청1ecec08d-0af8-b044-e053-0a32095ab044세아유치원사립(사인)241241241<NA><NA>312NN20231서울특별시 성북구 성북로4길 52
45서울특별시교육청성북강북교육지원청1ecec08d-0b26-b044-e053-0a32095ab044서울석관초등학교병설유치원공립(병설)181181181<NA>181249NN20231서울특별시 성북구 돌곶이로22길 21
46서울특별시교육청성북강북교육지원청1ecec08d-0d94-b044-e053-0a32095ab044동덕여자대학교부속유치원사립(법인)<NA><NA>204203<NA>223NN20231서울특별시 성북구 장월로1가길 9
47서울특별시교육청성북강북교육지원청1ecec08d-0eb6-b044-e053-0a32095ab044서울숭례초등학교병설유치원공립(병설)180180181<NA>180249NN20231서울특별시 성북구 종암로5길 14
48서울특별시교육청성북강북교육지원청1ecec08d-0f4e-b044-e053-0a32095ab044천사유치원사립(사인)<NA><NA>228228<NA>249NN20221서울특별시 성북구 성북로4길 52
49서울특별시교육청성북강북교육지원청1ecec08d-0f77-b044-e053-0a32095ab044푸른샘유치원사립(사인)213213211<NA><NA>250<NA><NA>20191서울특별시 성북구 길음로13길 29
50서울특별시교육청성북강북교육지원청31f91c90-4c4e-485d-9929-976cb8bfac30서울좋은소리유치원공립(단설)181181182<NA>182250NN20231서울특별시 성북구 길음로13길 29
51서울특별시교육청성북강북교육지원청7ec89e9b-5287-4ece-b0d3-24499defde1b서울장위초등학교병설유치원공립(병설)181181181<NA>181252NN20231서울특별시 성북구 장월로8가길 41
52서울특별시교육청성북강북교육지원청9236ee2c-f1f2-4550-911b-4ee00ac5dc2d서울좋은소리유치원분원공립(단설)181181182<NA>182250NN20231서울특별시 성북구 숭인로 50