Overview

Dataset statistics

Number of variables15
Number of observations24
Missing cells22
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory132.5 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20687/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 5세 수업일수 and 2 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 2 other fieldsHigh correlation
4세 수업일수 is highly overall correlated with 3세 수업일수 and 2 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 (52.7%)Imbalance
특수학급수업일수 is highly imbalanced (55.0%)Imbalance
3세 수업일수 has 5 (20.8%) missing valuesMissing
4세 수업일수 has 5 (20.8%) missing valuesMissing
5세 수업일수 has 2 (8.3%) missing valuesMissing
법정일수이하여부 has 5 (20.8%) missing valuesMissing
신설유치원여부 has 5 (20.8%) missing valuesMissing
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 18:31:41.218548
Analysis finished2024-03-13 18:31:43.127291
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시교육청
24 

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 24
100.0%

Length

2024-03-14T03:31:43.174209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:31:43.253137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 24
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
성북강북교육지원청
24 

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 24
100.0%

Length

2024-03-14T03:31:43.330042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:31:43.399492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

유치원코드
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T03:31:43.561943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters864
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

Unique24 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f0f4-b044-e053-0a32095ab044
2nd row1ecec08c-f0f5-b044-e053-0a32095ab044
3rd row1ecec08c-f0f6-b044-e053-0a32095ab044
4th row1ecec08c-f740-b044-e053-0a32095ab044
5th row1ecec08c-f8de-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f0f4-b044-e053-0a32095ab044 1
 
4.2%
1ecec08c-f0f5-b044-e053-0a32095ab044 1
 
4.2%
7e0ce4f2-8d6e-4568-9e83-17a353fee72b 1
 
4.2%
64af8988-de1b-45a7-81be-11e10d4fa5ef 1
 
4.2%
359faa6f-7b25-4e25-b738-71737821c61c 1
 
4.2%
1ecec08d-0cc5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0cbe-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0ae5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-084e-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-02ae-b044-e053-0a32095ab044 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T03:31:43.907687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 484
56.0%
Lowercase Letter 284
32.9%
Dash Punctuation 96
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
29.5%
4 92
19.0%
5 53
 
11.0%
3 50
 
10.3%
8 35
 
7.2%
2 35
 
7.2%
1 30
 
6.2%
9 26
 
5.4%
7 11
 
2.3%
6 9
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
67.1%
Latin 284
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
24.7%
- 96
16.6%
4 92
15.9%
5 53
 
9.1%
3 50
 
8.6%
8 35
 
6.0%
2 35
 
6.0%
1 30
 
5.2%
9 26
 
4.5%
7 11
 
1.9%
Latin
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

유치원명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T03:31:44.079212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.2083333
Min length5

Characters and Unicode

Total characters173
Distinct characters49
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

Unique24 ?
Unique (%)100.0%

Sample

1st row금성유치원
2nd row동명유치원
3rd row길물빛유치원
4th row성실유치원
5th row서울수유초등학교병설유치원
ValueCountFrequency (%)
금성유치원 1
 
4.2%
동명유치원 1
 
4.2%
서울송천초등학교병설유치원 1
 
4.2%
서울수송초등학교병설유치원 1
 
4.2%
서울번동초등학교병설유치원 1
 
4.2%
새시대유치원 1
 
4.2%
서울미양초등학교병설유치원 1
 
4.2%
인수유치원 1
 
4.2%
꿈동산유치원 1
 
4.2%
서울화계초등학교병설유치원 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T03:31:44.351709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 26
15.0%
원 25
14.5%
치 24
13.9%
서 7
 
4.0%
울 7
 
4.0%
학 6
 
3.5%
교 6
 
3.5%
설 6
 
3.5%
병 6
 
3.5%
초 6
 
3.5%
Other values (39) 54
31.2%

실립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
사립(사인)
15 
공립(병설)
6 
사립(법인)
2 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 15
62.5%
공립(병설) 6
 
25.0%
사립(법인) 2
 
8.3%
공립(단설) 1
 
4.2%

Length

2024-03-14T03:31:44.450250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:31:44.525754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 15
62.5%
공립(병설 6
 
25.0%
사립(법인 2
 
8.3%
공립(단설 1
 
4.2%

3세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)68.4%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean208.47368
Minimum180
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T03:31:44.620508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median216
Q3224.5
95-th percentile238.5
Maximum243
Range63
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation23.381779
Coefficient of variation (CV)0.11215698
Kurtosis-1.6174198
Mean208.47368
Median Absolute Deviation (MAD)19
Skewness-0.18030111
Sum3961
Variance546.7076
MonotonicityNot monotonic
2024-03-14T03:31:44.707353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
181 4
16.7%
180 3
12.5%
220 2
 
8.3%
215 1
 
4.2%
238 1
 
4.2%
225 1
 
4.2%
216 1
 
4.2%
209 1
 
4.2%
234 1
 
4.2%
243 1
 
4.2%
Other values (3) 3
12.5%
(Missing) 5
20.8%
ValueCountFrequency (%)
180 3
12.5%
181 4
16.7%
209 1
 
4.2%
215 1
 
4.2%
216 1
 
4.2%
218 1
 
4.2%
220 2
8.3%
224 1
 
4.2%
225 1
 
4.2%
234 1
 
4.2%
ValueCountFrequency (%)
243 1
4.2%
238 1
4.2%
235 1
4.2%
234 1
4.2%
225 1
4.2%
224 1
4.2%
220 2
8.3%
218 1
4.2%
216 1
4.2%
215 1
4.2%

4세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)68.4%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean208.47368
Minimum180
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T03:31:44.802995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile180
Q1181
median216
Q3224.5
95-th percentile238.5
Maximum243
Range63
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation23.381779
Coefficient of variation (CV)0.11215698
Kurtosis-1.6174198
Mean208.47368
Median Absolute Deviation (MAD)19
Skewness-0.18030111
Sum3961
Variance546.7076
MonotonicityNot monotonic
2024-03-14T03:31:44.901601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
181 4
16.7%
180 3
12.5%
220 2
 
8.3%
215 1
 
4.2%
238 1
 
4.2%
225 1
 
4.2%
216 1
 
4.2%
209 1
 
4.2%
234 1
 
4.2%
243 1
 
4.2%
Other values (3) 3
12.5%
(Missing) 5
20.8%
ValueCountFrequency (%)
180 3
12.5%
181 4
16.7%
209 1
 
4.2%
215 1
 
4.2%
216 1
 
4.2%
218 1
 
4.2%
220 2
8.3%
224 1
 
4.2%
225 1
 
4.2%
234 1
 
4.2%
ValueCountFrequency (%)
243 1
4.2%
238 1
4.2%
235 1
4.2%
234 1
4.2%
225 1
4.2%
224 1
4.2%
220 2
8.3%
218 1
4.2%
216 1
4.2%
215 1
4.2%

5세 수업일수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)68.2%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean211.54545
Minimum181
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T03:31:44.994198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181
5-th percentile181
Q1182
median219
Q3227.25
95-th percentile237.95
Maximum243
Range62
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation22.681495
Coefficient of variation (CV)0.10721807
Kurtosis-1.4457365
Mean211.54545
Median Absolute Deviation (MAD)15.5
Skewness-0.40813891
Sum4654
Variance514.45022
MonotonicityNot monotonic
2024-03-14T03:31:45.076157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
181 5
20.8%
225 2
 
8.3%
220 2
 
8.3%
182 2
 
8.3%
213 1
 
4.2%
237 1
 
4.2%
238 1
 
4.2%
216 1
 
4.2%
209 1
 
4.2%
228 1
 
4.2%
Other values (5) 5
20.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
181 5
20.8%
182 2
 
8.3%
209 1
 
4.2%
213 1
 
4.2%
216 1
 
4.2%
218 1
 
4.2%
220 2
 
8.3%
224 1
 
4.2%
225 2
 
8.3%
228 1
 
4.2%
ValueCountFrequency (%)
243 1
4.2%
238 1
4.2%
237 1
4.2%
235 1
4.2%
234 1
4.2%
228 1
4.2%
225 2
8.3%
224 1
4.2%
220 2
8.3%
218 1
4.2%

혼합연령수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
222
 
1
237
 
1
228
 
1
220
 
1

Length

Max length4
Median length4
Mean length3.7916667
Min length3

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row222
2nd row<NA>
3rd row237
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
222 1
 
4.2%
237 1
 
4.2%
228 1
 
4.2%
220 1
 
4.2%
225 1
 
4.2%

Length

2024-03-14T03:31:45.177771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:31:45.262322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
222 1
 
4.2%
237 1
 
4.2%
228 1
 
4.2%
220 1
 
4.2%
225 1
 
4.2%

특수학급수업일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
181
 
2
182
 
1
180
 
1

Length

Max length4
Median length4
Mean length3.8333333
Min length3

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row181

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
181 2
 
8.3%
182 1
 
4.2%
180 1
 
4.2%

Length

2024-03-14T03:31:45.344270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:31:45.417248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
181 2
 
8.3%
182 1
 
4.2%
180 1
 
4.2%

방과후 과정수업일수
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.375
Minimum222
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-14T03:31:45.492793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile225.15
Q1230.75
median248.5
Q3250.25
95-th percentile300.85
Maximum302
Range80
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation23.451731
Coefficient of variation (CV)0.093666425
Kurtosis0.86351977
Mean250.375
Median Absolute Deviation (MAD)5.5
Skewness1.2295135
Sum6009
Variance549.9837
MonotonicityNot monotonic
2024-03-14T03:31:45.583501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
250 5
20.8%
230 2
 
8.3%
300 1
 
4.2%
222 1
 
4.2%
248 1
 
4.2%
251 1
 
4.2%
302 1
 
4.2%
283 1
 
4.2%
249 1
 
4.2%
301 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
222 1
4.2%
225 1
4.2%
226 1
4.2%
228 1
4.2%
230 2
8.3%
231 1
4.2%
242 1
4.2%
245 1
4.2%
246 1
4.2%
247 1
4.2%
ValueCountFrequency (%)
302 1
 
4.2%
301 1
 
4.2%
300 1
 
4.2%
283 1
 
4.2%
253 1
 
4.2%
251 1
 
4.2%
250 5
20.8%
249 1
 
4.2%
248 1
 
4.2%
247 1
 
4.2%

법정일수이하여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)5.3%
Missing5
Missing (%)20.8%
Memory size180.0 B
False
19 
(Missing)
5 
ValueCountFrequency (%)
False 19
79.2%
(Missing) 5
 
20.8%
2024-03-14T03:31:45.689012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신설유치원여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)5.3%
Missing5
Missing (%)20.8%
Memory size180.0 B
False
19 
(Missing)
5 
ValueCountFrequency (%)
False 19
79.2%
(Missing) 5
 
20.8%
2024-03-14T03:31:45.752058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공시차수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
20231
17 
20191
2 
20181
2 
20211
2 
20201
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row20191
2nd row20191
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 17
70.8%
20191 2
 
8.3%
20181 2
 
8.3%
20211 2
 
8.3%
20201 1
 
4.2%

Length

2024-03-14T03:31:45.835648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T03:31:46.229679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 17
70.8%
20191 2
 
8.3%
20181 2
 
8.3%
20211 2
 
8.3%
20201 1
 
4.2%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-14T03:31:46.382127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.208333
Min length16

Characters and Unicode

Total characters437
Distinct characters46
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 한천로123길 9
2nd row서울특별시 강북구 오패산로 130
3rd row서울특별시 강북구 인수봉로 260
4th row서울특별시 강북구 삼각산로 143-1
5th row서울특별시 강북구 삼양로74길 39
ValueCountFrequency (%)
서울특별시 24
25.0%
강북구 24
25.0%
인수봉로 3
 
3.1%
솔샘로 3
 
3.1%
45 2
 
2.1%
삼각산로 2
 
2.1%
298 1
 
1.0%
노해로21길 1
 
1.0%
12 1
 
1.0%
솔매로50가길 1
 
1.0%
Other values (34) 34
35.4%
2024-03-14T03:31:46.661115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
16.5%
서 24
 
5.5%
강 24
 
5.5%
로 24
 
5.5%
구 24
 
5.5%
북 24
 
5.5%
울 24
 
5.5%
시 24
 
5.5%
별 24
 
5.5%
특 24
 
5.5%
Other values (36) 149
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
64.5%
Decimal Number 82
 
18.8%
Space Separator 72
 
16.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%
Decimal Number
ValueCountFrequency (%)
1 18
22.0%
2 11
13.4%
9 11
13.4%
4 10
12.2%
5 9
11.0%
0 5
 
6.1%
8 5
 
6.1%
3 5
 
6.1%
7 4
 
4.9%
6 4
 
4.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
64.5%
Common 155
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%
Common
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
2 11
 
7.1%
9 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
7 4
 
2.6%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
64.5%
ASCII 155
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
2 11
 
7.1%
9 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
7 4
 
2.6%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
서 24
8.5%
강 24
8.5%
로 24
8.5%
구 24
8.5%
북 24
8.5%
울 24
8.5%
시 24
8.5%
별 24
8.5%
특 24
8.5%
길 11
 
3.9%
Other values (24) 55
19.5%

Interactions

2024-03-14T03:31:42.484913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:41.653889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:41.948822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.220420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.556440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:41.746074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.012758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.286407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.626109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:41.814822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.076782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.350588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.696790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:41.880165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.146734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T03:31:42.416035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T03:31:46.740451image/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
실립유형1.0001.0001.0000.8330.8330.858NaN1.0000.1350.0001.000
3세 수업일수1.0001.0000.8331.0001.0000.998NaNNaN0.5460.5811.000
4세 수업일수1.0001.0000.8331.0001.0000.998NaNNaN0.5460.5811.000
5세 수업일수1.0001.0000.8580.9980.9981.0001.000NaN0.3540.0001.000
혼합연령수업일수1.0001.000NaNNaNNaN1.0001.000NaN1.0001.0001.000
특수학급수업일수1.0001.0001.000NaNNaNNaNNaN1.000NaNNaN1.000
방과후 과정수업일수1.0001.0000.1350.5460.5460.3541.000NaN1.0000.6571.000
공시차수1.0001.0000.0000.5810.5810.0001.000NaN0.6571.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T03:31:46.844342image/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
2024-03-14T03:31:46.923180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3세 수업일수4세 수업일수5세 수업일수방과후 과정수업일수실립유형혼합연령수업일수특수학급수업일수공시차수
3세 수업일수1.0001.0000.984-0.2390.4690.0001.0000.462
4세 수업일수1.0001.0000.984-0.2390.4690.0001.0000.462
5세 수업일수0.9840.9841.000-0.1860.5431.0001.0000.186
방과후 과정수업일수-0.239-0.239-0.1861.0000.2111.0001.0000.453
실립유형0.4690.4690.5430.2111.0001.0000.7070.000
혼합연령수업일수0.0000.0001.0001.0001.0001.0000.0001.000
특수학급수업일수1.0001.0001.0001.0000.7070.0001.0001.000
공시차수0.4620.4620.1860.4530.0001.0001.0001.000

Missing values

2024-03-14T03:31:42.804551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T03:31:42.949812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-14T03:31:43.058073image/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-f0f4-b044-e053-0a32095ab044금성유치원사립(사인)<NA><NA><NA>222<NA>300<NA><NA>20191서울특별시 강북구 한천로123길 9
1서울특별시교육청성북강북교육지원청1ecec08c-f0f5-b044-e053-0a32095ab044동명유치원사립(사인)215215213<NA><NA>231<NA><NA>20191서울특별시 강북구 오패산로 130
2서울특별시교육청성북강북교육지원청1ecec08c-f0f6-b044-e053-0a32095ab044길물빛유치원사립(사인)<NA><NA>237237<NA>246NN20231서울특별시 강북구 인수봉로 260
3서울특별시교육청성북강북교육지원청1ecec08c-f740-b044-e053-0a32095ab044성실유치원사립(사인)238238238<NA><NA>247NN20231서울특별시 강북구 삼각산로 143-1
4서울특별시교육청성북강북교육지원청1ecec08c-f8de-b044-e053-0a32095ab044서울수유초등학교병설유치원공립(병설)181181181<NA>181250NN20231서울특별시 강북구 삼양로74길 39
5서울특별시교육청성북강북교육지원청1ecec08c-f9b8-b044-e053-0a32095ab044아름유치원사립(사인)225225225<NA><NA>225<NA><NA>20181서울특별시 강북구 도봉로 88
6서울특별시교육청성북강북교육지원청1ecec08c-fa08-b044-e053-0a32095ab044솔샘유치원사립(사인)216216216<NA><NA>242NN20231서울특별시 강북구 솔샘로 159
7서울특별시교육청성북강북교육지원청1ecec08c-fa73-b044-e053-0a32095ab044창문유치원사립(법인)209209209<NA><NA>226NN20231서울특별시 강북구 월계로 61
8서울특별시교육청성북강북교육지원청1ecec08c-fc25-b044-e053-0a32095ab044운산유치원사립(사인)<NA><NA>228228<NA>228NN20211서울특별시 강북구 수유로4길 58
9서울특별시교육청성북강북교육지원청1ecec08c-fe08-b044-e053-0a32095ab044유안유치원사립(사인)234234234<NA><NA>245NN20231서울특별시 강북구 인수봉로 297
교육청명교육지원청명유치원코드유치원명실립유형3세 수업일수4세 수업일수5세 수업일수혼합연령수업일수특수학급수업일수방과후 과정수업일수법정일수이하여부신설유치원여부공시차수주소
14서울특별시교육청성북강북교육지원청1ecec08d-0250-b044-e053-0a32095ab044경은유치원사립(사인)220220220<NA><NA>230<NA><NA>20181서울특별시 강북구 노해로21길 12
15서울특별시교육청성북강북교육지원청1ecec08d-02ae-b044-e053-0a32095ab044서울화계초등학교병설유치원공립(병설)180180181<NA><NA>283NN20231서울특별시 강북구 솔매로50가길 25
16서울특별시교육청성북강북교육지원청1ecec08d-084e-b044-e053-0a32095ab044꿈동산유치원사립(사인)235235235<NA><NA>250NN20231서울특별시 강북구 한천로115길 15
17서울특별시교육청성북강북교육지원청1ecec08d-0ae5-b044-e053-0a32095ab044인수유치원사립(사인)<NA><NA><NA>220<NA>230NN20211서울특별시 강북구 인수봉로 298
18서울특별시교육청성북강북교육지원청1ecec08d-0cbe-b044-e053-0a32095ab044서울미양초등학교병설유치원공립(병설)181181182<NA>182250NN20231서울특별시 강북구 솔샘로 195
19서울특별시교육청성북강북교육지원청1ecec08d-0cc5-b044-e053-0a32095ab044새시대유치원사립(사인)<NA><NA>225225<NA>302<NA><NA>20201서울특별시 강북구 도봉로97길 45
20서울특별시교육청성북강북교육지원청359faa6f-7b25-4e25-b738-71737821c61c서울번동초등학교병설유치원공립(병설)180180181<NA><NA>250NN20231서울특별시 강북구 오현로 204
21서울특별시교육청성북강북교육지원청64af8988-de1b-45a7-81be-11e10d4fa5ef서울수송초등학교병설유치원공립(병설)181181181<NA>181251NN20231서울특별시 강북구 한천로124길 14
22서울특별시교육청성북강북교육지원청7e0ce4f2-8d6e-4568-9e83-17a353fee72b서울송천초등학교병설유치원공립(병설)181181182<NA><NA>248NN20231서울특별시 강북구 삼양로20길 29
23서울특별시교육청성북강북교육지원청d6df2050-e2a0-4e60-bffa-db3ae9220338서울우이유치원공립(단설)180180181<NA>180250NN20231서울특별시 강북구 삼양로99길 36