Overview

Dataset statistics

Number of variables15
Number of observations38
Missing cells14
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory130.5 B

Variable types

Categorical6
Text3
Numeric4
Boolean2

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,실립유형,3세 수업일수,4세 수업일수,5세 수업일수,혼합연령수업일수,특수학급수업일수,방과후 과정수업일수,법정일수이하여부,신설유치원여부,공시차수,주소
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-20685/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 혼합연령수업일수 and 1 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 5 other fieldsHigh correlation
혼합연령수업일수 is highly overall correlated with 5세 수업일수 and 3 other fieldsHigh correlation
3세 수업일수 is highly overall correlated with 4세 수업일수 and 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
방과후 과정수업일수 is highly overall correlated with 혼합연령수업일수 and 1 other fieldsHigh correlation
혼합연령수업일수 is highly imbalanced (77.9%)Imbalance
특수학급수업일수 is highly imbalanced (59.9%)Imbalance
3세 수업일수 has 4 (10.5%) missing valuesMissing
4세 수업일수 has 2 (5.3%) missing valuesMissing
법정일수이하여부 has 4 (10.5%) missing valuesMissing
신설유치원여부 has 4 (10.5%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:55:20.023795
Analysis finished2024-03-13 06:55:22.310110
Duration2.29 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

2024-03-13T15:55:22.363568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:55:22.445250image/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
동부교육지원청
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부교육지원청 38
100.0%

Length

2024-03-13T15:55:22.527953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:55:22.612270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:55:22.790359image/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 row0764f8c8-364c-495b-9fbc-b389148b7b4f
2nd row076db651-036b-4bee-80ba-09f0edb4a57a
3rd row1ecec08c-ed85-b044-e053-0a32095ab044
4th row1ecec08c-f053-b044-e053-0a32095ab044
5th row1ecec08c-f1fe-b044-e053-0a32095ab044
ValueCountFrequency (%)
0764f8c8-364c-495b-9fbc-b389148b7b4f 1
 
2.6%
1ecec08d-0c06-b044-e053-0a32095ab044 1
 
2.6%
c2e09cc2-cdd2-4105-ba11-7fe02b7e47f8 1
 
2.6%
1ecec08d-0376-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-078d-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0831-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09a8-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09aa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0ca8-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T15:55:23.090325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 148
10.8%
e 107
 
7.8%
c 104
 
7.6%
b 86
 
6.3%
5 79
 
5.8%
a 79
 
5.8%
3 73
 
5.3%
9 53
 
3.9%
Other values (7) 270
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
56.7%
Lowercase Letter 441
32.2%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.0%
4 148
19.1%
5 79
 
10.2%
3 73
 
9.4%
9 53
 
6.8%
8 53
 
6.8%
1 51
 
6.6%
2 48
 
6.2%
7 31
 
4.0%
6 22
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 107
24.3%
c 104
23.6%
b 86
19.5%
a 79
17.9%
f 34
 
7.7%
d 31
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
67.8%
Latin 441
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
23.4%
- 152
16.4%
4 148
16.0%
5 79
 
8.5%
3 73
 
7.9%
9 53
 
5.7%
8 53
 
5.7%
1 51
 
5.5%
2 48
 
5.2%
7 31
 
3.3%
Latin
ValueCountFrequency (%)
e 107
24.3%
c 104
23.6%
b 86
19.5%
a 79
17.9%
f 34
 
7.7%
d 31
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 148
10.8%
e 107
 
7.8%
c 104
 
7.6%
b 86
 
6.3%
5 79
 
5.8%
a 79
 
5.8%
3 73
 
5.3%
9 53
 
3.9%
Other values (7) 270
19.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:55:23.301271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.9473684
Min length5

Characters and Unicode

Total characters302
Distinct characters64
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 row서울신현초등학교병설유치원
2nd row서울신묵초등학교병설유치원
3rd row서울중곡초등학교병설유치원
4th row서울면동초등학교병설유치원
5th row신일유치원
ValueCountFrequency (%)
서울신현초등학교병설유치원 1
 
2.6%
새아랑유치원 1
 
2.6%
서울양원숲초등학교병설유치원 1
 
2.6%
수산유치원 1
 
2.6%
서울동원초등학교병설유치원 1
 
2.6%
누리에유치원 1
 
2.6%
예원유치원 1
 
2.6%
은성유치원 1
 
2.6%
서울새솔유치원 1
 
2.6%
미림유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T15:55:23.594330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
초 13
 
4.3%
학 13
 
4.3%
교 13
 
4.3%
병 13
 
4.3%
설 13
 
4.3%
Other values (54) 91
30.1%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
13 
사립(법인)
3 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 13
34.2%
사립(법인) 3
 
7.9%
공립(단설) 1
 
2.6%

Length

2024-03-13T15:55:23.717766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:55:23.809711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 13
34.2%
사립(법인 3
 
7.9%
공립(단설 1
 
2.6%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)64.7%
Missing4
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean209.14706
Minimum180
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:55:23.897065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1182
median218
Q3223.5
95-th percentile236.75
Maximum242
Range62
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation21.306042
Coefficient of variation (CV)0.1018711
Kurtosis-1.4363096
Mean209.14706
Median Absolute Deviation (MAD)12.5
Skewness-0.36285521
Sum7111
Variance453.94742
MonotonicityNot monotonic
2024-03-13T15:55:24.017224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
180 4
 
10.5%
181 4
 
10.5%
224 2
 
5.3%
218 2
 
5.3%
221 2
 
5.3%
222 2
 
5.3%
182 2
 
5.3%
220 2
 
5.3%
227 1
 
2.6%
183 1
 
2.6%
Other values (12) 12
31.6%
(Missing) 4
 
10.5%
ValueCountFrequency (%)
180 4
10.5%
181 4
10.5%
182 2
5.3%
183 1
 
2.6%
197 1
 
2.6%
212 1
 
2.6%
214 1
 
2.6%
215 1
 
2.6%
216 1
 
2.6%
218 2
5.3%
ValueCountFrequency (%)
242 1
2.6%
240 1
2.6%
235 1
2.6%
232 1
2.6%
231 1
2.6%
230 1
2.6%
227 1
2.6%
224 2
5.3%
222 2
5.3%
221 2
5.3%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)61.1%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean207.55556
Minimum180
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:55:24.116219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median217
Q3222.5
95-th percentile236.25
Maximum242
Range62
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation21.73272
Coefficient of variation (CV)0.10470796
Kurtosis-1.582326
Mean207.55556
Median Absolute Deviation (MAD)14.5
Skewness-0.22690584
Sum7472
Variance472.31111
MonotonicityNot monotonic
2024-03-13T15:55:24.244564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
180 5
13.2%
181 5
13.2%
218 2
 
5.3%
222 2
 
5.3%
221 2
 
5.3%
224 2
 
5.3%
220 2
 
5.3%
182 2
 
5.3%
227 1
 
2.6%
183 1
 
2.6%
Other values (12) 12
31.6%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
180 5
13.2%
181 5
13.2%
182 2
 
5.3%
183 1
 
2.6%
197 1
 
2.6%
212 1
 
2.6%
214 1
 
2.6%
215 1
 
2.6%
216 1
 
2.6%
218 2
 
5.3%
ValueCountFrequency (%)
242 1
2.6%
240 1
2.6%
235 1
2.6%
232 1
2.6%
231 1
2.6%
230 1
2.6%
227 1
2.6%
224 2
5.3%
222 2
5.3%
221 2
5.3%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.26316
Minimum180
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:55:24.370409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181.25
median216.5
Q3222.75
95-th percentile235.75
Maximum240
Range60
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation21.530223
Coefficient of variation (CV)0.10387868
Kurtosis-1.6221177
Mean207.26316
Median Absolute Deviation (MAD)15
Skewness-0.22332447
Sum7876
Variance463.5505
MonotonicityNot monotonic
2024-03-13T15:55:24.467978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
181 6
15.8%
180 4
 
10.5%
219 2
 
5.3%
183 2
 
5.3%
215 2
 
5.3%
224 2
 
5.3%
221 2
 
5.3%
240 2
 
5.3%
222 2
 
5.3%
218 2
 
5.3%
Other values (11) 12
31.6%
ValueCountFrequency (%)
180 4
10.5%
181 6
15.8%
182 2
 
5.3%
183 2
 
5.3%
197 1
 
2.6%
213 1
 
2.6%
214 1
 
2.6%
215 2
 
5.3%
218 2
 
5.3%
219 2
 
5.3%
ValueCountFrequency (%)
240 2
5.3%
235 1
2.6%
232 1
2.6%
231 1
2.6%
230 1
2.6%
227 1
2.6%
224 2
5.3%
223 1
2.6%
222 2
5.3%
221 2
5.3%

혼합연령수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
224
 
1
181
 
1

Length

Max length4
Median length4
Mean length3.9473684
Min length3

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
94.7%
224 1
 
2.6%
181 1
 
2.6%

Length

2024-03-13T15:55:24.581095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:55:24.673567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
224 1
 
2.6%
181 1
 
2.6%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
32 
180
 
2
181
 
2
182
 
1
183
 
1

Length

Max length4
Median length4
Mean length3.8421053
Min length3

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
84.2%
180 2
 
5.3%
181 2
 
5.3%
182 1
 
2.6%
183 1
 
2.6%

Length

2024-03-13T15:55:24.763978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:55:24.863465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
84.2%
180 2
 
5.3%
181 2
 
5.3%
182 1
 
2.6%
183 1
 
2.6%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.92105
Minimum223
Maximum299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-03-13T15:55:24.947563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum223
5-th percentile233.85
Q1244
median249
Q3250
95-th percentile299
Maximum299
Range76
Interquartile range (IQR)6

Descriptive statistics

Standard deviation18.227365
Coefficient of variation (CV)0.072353481
Kurtosis2.7991817
Mean251.92105
Median Absolute Deviation (MAD)2.5
Skewness1.8224769
Sum9573
Variance332.23684
MonotonicityNot monotonic
2024-03-13T15:55:25.046859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
249 8
21.1%
250 5
13.2%
248 4
10.5%
244 4
10.5%
299 3
 
7.9%
245 2
 
5.3%
251 2
 
5.3%
223 1
 
2.6%
281 1
 
2.6%
234 1
 
2.6%
Other values (7) 7
18.4%
ValueCountFrequency (%)
223 1
 
2.6%
233 1
 
2.6%
234 1
 
2.6%
235 1
 
2.6%
240 1
 
2.6%
241 1
 
2.6%
243 1
 
2.6%
244 4
10.5%
245 2
5.3%
246 1
 
2.6%
ValueCountFrequency (%)
299 3
 
7.9%
298 1
 
2.6%
281 1
 
2.6%
251 2
 
5.3%
250 5
13.2%
249 8
21.1%
248 4
10.5%
246 1
 
2.6%
245 2
 
5.3%
244 4
10.5%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing4
Missing (%)10.5%
Memory size208.0 B
False
34 
(Missing)
4 
ValueCountFrequency (%)
False 34
89.5%
(Missing) 4
 
10.5%
2024-03-13T15:55:25.137548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing4
Missing (%)10.5%
Memory size208.0 B
False
34 
(Missing)
4 
ValueCountFrequency (%)
False 34
89.5%
(Missing) 4
 
10.5%
2024-03-13T15:55:25.199479image/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
30 
20191
 
2
20221
 
2
20181
 
2
20211
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20231 30
78.9%
20191 2
 
5.3%
20221 2
 
5.3%
20181 2
 
5.3%
20211 2
 
5.3%

Length

2024-03-13T15:55:25.284677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:55:25.375747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 30
78.9%
20191 2
 
5.3%
20221 2
 
5.3%
20181 2
 
5.3%
20211 2
 
5.3%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T15:55:25.558067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.447368
Min length16

Characters and Unicode

Total characters701
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 봉화산로 188
2nd row서울특별시 중랑구 동일로149길 46
3rd row서울특별시 중랑구 면목로23길 20
4th row서울특별시 중랑구 면목로57길 32
5th row서울특별시 중랑구 면목로44길 55
ValueCountFrequency (%)
서울특별시 38
25.0%
중랑구 38
25.0%
봉화산로 3
 
2.0%
동일로 3
 
2.0%
신내로 3
 
2.0%
20 2
 
1.3%
중랑역로 2
 
1.3%
55 2
 
1.3%
32 2
 
1.3%
110 2
 
1.3%
Other values (57) 57
37.5%
2024-03-13T15:55:25.870198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.3%
중 42
 
6.0%
랑 41
 
5.8%
서 38
 
5.4%
특 38
 
5.4%
별 38
 
5.4%
시 38
 
5.4%
구 38
 
5.4%
울 38
 
5.4%
로 37
 
5.3%
Other values (43) 239
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
65.5%
Decimal Number 127
 
18.1%
Space Separator 114
 
16.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%
Decimal Number
ValueCountFrequency (%)
1 32
25.2%
5 23
18.1%
4 13
10.2%
2 12
 
9.4%
3 10
 
7.9%
0 9
 
7.1%
6 8
 
6.3%
7 8
 
6.3%
9 6
 
4.7%
8 6
 
4.7%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
65.5%
Common 242
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%
Common
ValueCountFrequency (%)
114
47.1%
1 32
 
13.2%
5 23
 
9.5%
4 13
 
5.4%
2 12
 
5.0%
3 10
 
4.1%
0 9
 
3.7%
6 8
 
3.3%
7 8
 
3.3%
9 6
 
2.5%
Other values (2) 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
65.5%
ASCII 242
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
47.1%
1 32
 
13.2%
5 23
 
9.5%
4 13
 
5.4%
2 12
 
5.0%
3 10
 
4.1%
0 9
 
3.7%
6 8
 
3.3%
7 8
 
3.3%
9 6
 
2.5%
Other values (2) 7
 
2.9%
Hangul
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%

Interactions

2024-03-13T15:55:21.293522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.417672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.711513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.008406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.369259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.485251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.781934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.078558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.445740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.563037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.856421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.147496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.519472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.633578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:20.934063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:55:21.219025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:55:25.957734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.000
실립유형1.0001.0001.0000.6680.6730.6860.0001.0000.2380.0001.000
3세 수업일수1.0001.0000.6681.0001.0000.999NaNNaN0.3720.4891.000
4세 수업일수1.0001.0000.6731.0001.0000.999NaNNaN0.3930.5061.000
5세 수업일수1.0001.0000.6860.9990.9991.0000.000NaN0.3820.5201.000
혼합연령수업일수0.0000.0000.000NaNNaN0.0001.000NaN0.000NaN0.000
특수학급수업일수1.0001.0001.000NaNNaNNaNNaN1.0001.000NaN1.000
방과후 과정수업일수1.0001.0000.2380.3720.3930.3820.0001.0001.0000.5391.000
공시차수1.0001.0000.0000.4890.5060.520NaNNaN0.5391.0001.000
주소1.0001.0001.0001.0001.0001.0000.0001.0001.0001.0001.000
2024-03-13T15:55:26.073901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수실립유형특수학급수업일수혼합연령수업일수
공시차수1.0000.0001.0001.000
실립유형0.0001.0000.7071.000
특수학급수업일수1.0000.7071.000NaN
혼합연령수업일수1.0001.000NaN1.000
2024-03-13T15:55:26.158731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수실립유형혼합연령수업일수특수학급수업일수공시차수
3세 수업일수1.0001.0000.997-0.1910.5180.0001.0000.367
4세 수업일수1.0001.0000.996-0.2290.5270.0001.0000.386
5세 수업일수0.9970.9961.000-0.1810.5371.0001.0000.383
방과후 과정수업일수-0.191-0.229-0.1811.0000.1171.0000.7070.381
실립유형0.5180.5270.5370.1171.0001.0000.7070.000
혼합연령수업일수0.0000.0001.0001.0001.0001.0000.0001.000
특수학급수업일수1.0001.0001.0000.7070.7070.0001.0001.000
공시차수0.3670.3860.3830.3810.0001.0001.0001.000

Missing values

2024-03-13T15:55:21.634562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:55:21.803742image/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.
2024-03-13T15:55:22.238956image/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
0서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)180180180<NA>180249NN20231서울특별시 중랑구 봉화산로 188
1서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)181181181<NA><NA>249NN20231서울특별시 중랑구 동일로149길 46
2서울특별시교육청동부교육지원청1ecec08c-ed85-b044-e053-0a32095ab044서울중곡초등학교병설유치원공립(병설)182182182<NA><NA>244NN20231서울특별시 중랑구 면목로23길 20
3서울특별시교육청동부교육지원청1ecec08c-f053-b044-e053-0a32095ab044서울면동초등학교병설유치원공립(병설)181181181<NA><NA>250NN20231서울특별시 중랑구 면목로57길 32
4서울특별시교육청동부교육지원청1ecec08c-f1fe-b044-e053-0a32095ab044신일유치원사립(사인)235235235<NA><NA>235NN20231서울특별시 중랑구 면목로44길 55
5서울특별시교육청동부교육지원청1ecec08c-f1ff-b044-e053-0a32095ab044아랑유치원사립(사인)220220220<NA><NA>244<NA><NA>20191서울특별시 중랑구 중랑역로 47
6서울특별시교육청동부교육지원청1ecec08c-f29a-b044-e053-0a32095ab044로뎅유치원사립(사인)<NA><NA>223224<NA>299NN20231서울특별시 중랑구 봉화산로 90
7서울특별시교육청동부교육지원청1ecec08c-f3e9-b044-e053-0a32095ab044영은유치원사립(사인)218218218<NA><NA>298NN20231서울특별시 중랑구 신내로19길 42
8서울특별시교육청동부교육지원청1ecec08c-f56b-b044-e053-0a32095ab044서울면목초등학교병설유치원공립(병설)181181182<NA><NA>249NN20231서울특별시 중랑구 면목로 434
9서울특별시교육청동부교육지원청1ecec08c-f720-b044-e053-0a32095ab044동국유치원사립(사인)231231231<NA><NA>233NN20221서울특별시 중랑구 용마산로 250
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
28서울특별시교육청동부교육지원청1ecec08d-0c07-b044-e053-0a32095ab044서안유치원사립(사인)197197197<NA><NA>223NN20211서울특별시 중랑구 동일로140길 15
29서울특별시교육청동부교육지원청1ecec08d-0ca8-b044-e053-0a32095ab044미림유치원사립(사인)215215215<NA><NA>243NN20221서울특별시 중랑구 공릉로 65
30서울특별시교육청동부교육지원청1ecec08d-0e09-b044-e053-0a32095ab044진달래유치원사립(사인)220220219<NA><NA>246NN20231서울특별시 중랑구 상봉중앙로1가길 13
31서울특별시교육청동부교육지원청274fc57a-1928-4d00-8b7d-ca05e3a5d20c서울면북초등학교병설유치원공립(병설)<NA><NA>181181<NA>248NN20231서울특별시 중랑구 용마공원로5길 32
32서울특별시교육청동부교육지원청4ce05486-64ac-428e-84b9-69c07789c249정암유치원사립(법인)214214214<NA><NA>234NN20231서울특별시 중랑구 용마산로118길 55
33서울특별시교육청동부교육지원청94432cea-3906-4d55-bf04-527173edcac1서울중랑초등학교병설유치원공립(병설)181181181<NA><NA>250NN20231서울특별시 중랑구 봉우재로6길 26
34서울특별시교육청동부교육지원청b0005379-c35f-4cdf-8d60-e1c2bd49b158서울봉화초등학교병설유치원공립(병설)180180180<NA><NA>249NN20231서울특별시 중랑구 신내로15길 110
35서울특별시교육청동부교육지원청b6a058d4-d077-4426-a262-864967ac2010서울중흥초등학교병설유치원공립(병설)180180181<NA>181248NN20231서울특별시 중랑구 봉화산로 82
36서울특별시교육청동부교육지원청c2e09cc2-cdd2-4105-ba11-7fe02b7e47f8서울양원숲초등학교병설유치원공립(병설)183183183<NA>183281NN20231서울특별시 중랑구 양원역로 95
37서울특별시교육청동부교육지원청cec68159-711c-4efe-97bd-5d43416a051b서울중목초등학교병설유치원공립(병설)<NA>180180<NA><NA>251NN20231서울특별시 중랑구 동일로 665