Overview

Dataset statistics

Number of variables11
Number of observations938
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.7 KiB
Average record size in memory89.1 B

Variable types

Categorical4
Text6
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author한국교육학술정보원
URLhttps://data.seoul.go.kr/dataList/OA-20567/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
유치원코드 has unique valuesUnique

Reproduction

Analysis started2024-03-13 09:44:17.651485
Analysis finished2024-03-13 09:44:18.490645
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
서울특별시교육청
938 

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 938
100.0%

Length

2024-03-13T18:44:18.561200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:44:18.656777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 938
100.0%

교육지원청명
Categorical

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
북부교육지원청
113 
강서양천교육지원청
109 
서부교육지원청
103 
강동송파교육지원청
98 
남부교육지원청
97 
Other values (6)
418 

Length

Max length9
Median length9
Mean length8.0746269
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 113
12.0%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
동작관악교육지원청 77
8.2%
성북강북교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

Length

2024-03-13T18:44:18.751022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북부교육지원청 113
12.0%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
동작관악교육지원청 77
8.2%
성북강북교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

유치원코드
Text

UNIQUE 

Distinct938
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T18:44:18.974811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters33768
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

Unique938 ?
Unique (%)100.0%

Sample

1st row006b5238-ce41-4471-9ee3-4df8d24b5141
2nd row009c017d-43bd-4d9f-ac64-d217abdd570e
3rd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
4th row0764f8c8-364c-495b-9fbc-b389148b7b4f
5th row076db651-036b-4bee-80ba-09f0edb4a57a
ValueCountFrequency (%)
006b5238-ce41-4471-9ee3-4df8d24b5141 1
 
0.1%
1ecec08d-0838-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0754-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078d-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-08dd-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078e-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078f-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0791-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-079c-b044-e053-0a32095ab044 1
 
0.1%
Other values (928) 928
98.9%
2024-03-13T18:44:19.287723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5590
16.6%
- 3752
11.1%
4 3728
11.0%
e 2928
8.7%
c 2459
7.3%
a 2042
 
6.0%
5 2001
 
5.9%
3 1999
 
5.9%
b 1995
 
5.9%
8 1254
 
3.7%
Other values (7) 6020
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18978
56.2%
Lowercase Letter 11038
32.7%
Dash Punctuation 3752
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5590
29.5%
4 3728
19.6%
5 2001
 
10.5%
3 1999
 
10.5%
8 1254
 
6.6%
1 1240
 
6.5%
9 1198
 
6.3%
2 1186
 
6.2%
6 391
 
2.1%
7 391
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 2928
26.5%
c 2459
22.3%
a 2042
18.5%
b 1995
18.1%
d 830
 
7.5%
f 784
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 3752
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22730
67.3%
Latin 11038
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5590
24.6%
- 3752
16.5%
4 3728
16.4%
5 2001
 
8.8%
3 1999
 
8.8%
8 1254
 
5.5%
1 1240
 
5.5%
9 1198
 
5.3%
2 1186
 
5.2%
6 391
 
1.7%
Latin
ValueCountFrequency (%)
e 2928
26.5%
c 2459
22.3%
a 2042
18.5%
b 1995
18.1%
d 830
 
7.5%
f 784
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5590
16.6%
- 3752
11.1%
4 3728
11.0%
e 2928
8.7%
c 2459
7.3%
a 2042
 
6.0%
5 2001
 
5.9%
3 1999
 
5.9%
b 1995
 
5.9%
8 1254
 
3.7%
Other values (7) 6020
17.8%

유치원명
Text

Distinct842
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T18:44:19.540190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.6812367
Min length4

Characters and Unicode

Total characters7205
Distinct characters313
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

Unique771 ?
Unique (%)82.2%

Sample

1st row서울정심초등학교병설유치원
2nd row서울솔방울유치원
3rd row란키즈유치원
4th row서울신현초등학교병설유치원
5th row서울신묵초등학교병설유치원
ValueCountFrequency (%)
사랑유치원 5
 
0.5%
예일유치원 5
 
0.5%
새싹유치원 4
 
0.4%
예원유치원 4
 
0.4%
하나유치원 4
 
0.4%
아랑유치원 3
 
0.3%
삼성유치원 3
 
0.3%
한가람유치원 3
 
0.3%
돌샘유치원 3
 
0.3%
하늘유치원 3
 
0.3%
Other values (836) 905
96.1%
2024-03-13T18:44:19.945558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
초 254
 
3.5%
설 254
 
3.5%
Other values (303) 2395
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7201
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
초 254
 
3.5%
설 254
 
3.5%
Other values (302) 2391
33.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7201
99.9%
Common 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
초 254
 
3.5%
설 254
 
3.5%
Other values (302) 2391
33.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7201
99.9%
ASCII 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
초 254
 
3.5%
설 254
 
3.5%
Other values (302) 2391
33.2%
ASCII
ValueCountFrequency (%)
4
100.0%

설립유형
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
사립(사인)
498 
공립(병설)
251 
사립(법인)
140 
공립(단설)
 
49

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 498
53.1%
공립(병설) 251
26.8%
사립(법인) 140
 
14.9%
공립(단설) 49
 
5.2%

Length

2024-03-13T18:44:20.082638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:44:20.164513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 498
53.1%
공립(병설 251
26.8%
사립(법인 140
 
14.9%
공립(단설 49
 
5.2%

건축년도
Text

Distinct69
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T18:44:20.357516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters4690
Distinct characters11
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

Unique7 ?
Unique (%)0.7%

Sample

1st row2019년
2nd row1985년
3rd row2010년
4th row2021년
5th row2010년
ValueCountFrequency (%)
1988년 42
 
4.5%
1989년 34
 
3.6%
1997년 34
 
3.6%
1985년 31
 
3.3%
1996년 29
 
3.1%
1983년 28
 
3.0%
1991년 28
 
3.0%
1992년 26
 
2.8%
1999년 26
 
2.8%
1984년 26
 
2.8%
Other values (59) 634
67.6%
2024-03-13T18:44:20.691373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 974
20.8%
년 938
20.0%
1 819
17.5%
0 566
12.1%
2 444
9.5%
8 352
 
7.5%
7 177
 
3.8%
6 126
 
2.7%
5 107
 
2.3%
3 95
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3752
80.0%
Other Letter 938
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 974
26.0%
1 819
21.8%
0 566
15.1%
2 444
11.8%
8 352
 
9.4%
7 177
 
4.7%
6 126
 
3.4%
5 107
 
2.9%
3 95
 
2.5%
4 92
 
2.5%
Other Letter
ValueCountFrequency (%)
년 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3752
80.0%
Hangul 938
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 974
26.0%
1 819
21.8%
0 566
15.1%
2 444
11.8%
8 352
 
9.4%
7 177
 
4.7%
6 126
 
3.4%
5 107
 
2.9%
3 95
 
2.5%
4 92
 
2.5%
Hangul
ValueCountFrequency (%)
년 938
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3752
80.0%
Hangul 938
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 974
26.0%
1 819
21.8%
0 566
15.1%
2 444
11.8%
8 352
 
9.4%
7 177
 
4.7%
6 126
 
3.4%
5 107
 
2.9%
3 95
 
2.5%
4 92
 
2.5%
Hangul
ValueCountFrequency (%)
년 938
100.0%

건물층수
Categorical

Distinct18
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
지상2층/ 지하0층
183 
지상2층/ 지하1층
159 
지상3층/ 지하1층
149 
지상1층/ 지하0층
132 
지상4층/ 지하1층
106 
Other values (13)
209 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row지상2층/ 지하0층
2nd row지상3층/ 지하1층
3rd row지상4층/ 지하0층
4th row지상1층/ 지하0층
5th row지상1층/ 지하0층

Common Values

ValueCountFrequency (%)
지상2층/ 지하0층 183
19.5%
지상2층/ 지하1층 159
17.0%
지상3층/ 지하1층 149
15.9%
지상1층/ 지하0층 132
14.1%
지상4층/ 지하1층 106
11.3%
지상3층/ 지하0층 87
9.3%
지상4층/ 지하0층 61
 
6.5%
지상1층/ 지하1층 21
 
2.2%
지상5층/ 지하1층 15
 
1.6%
지상3층/ 지하2층 7
 
0.7%
Other values (8) 18
 
1.9%

Length

2024-03-13T18:44:20.810051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지하0층 468
24.9%
지하1층 451
24.0%
지상2층 343
18.3%
지상3층 245
13.1%
지상4층 170
 
9.1%
지상1층 153
 
8.2%
지상5층 25
 
1.3%
지하2층 16
 
0.9%
지하3층 2
 
0.1%
지상6층 2
 
0.1%

건물전용면적
Text

Distinct670
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T18:44:21.126330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.2292111
Min length4

Characters and Unicode

Total characters3967
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique479 ?
Unique (%)51.1%

Sample

1st row784㎡
2nd row929㎡
3rd row293㎡
4th row404㎡
5th row1233㎡
ValueCountFrequency (%)
600㎡ 7
 
0.7%
462㎡ 6
 
0.6%
324㎡ 5
 
0.5%
417㎡ 5
 
0.5%
465㎡ 4
 
0.4%
435㎡ 4
 
0.4%
432㎡ 4
 
0.4%
498㎡ 4
 
0.4%
464㎡ 4
 
0.4%
528㎡ 4
 
0.4%
Other values (660) 891
95.0%
2024-03-13T18:44:21.845280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
23.6%
1 405
10.2%
4 344
 
8.7%
3 326
 
8.2%
2 320
 
8.1%
5 311
 
7.8%
6 307
 
7.7%
7 280
 
7.1%
8 259
 
6.5%
9 247
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3029
76.4%
Other Symbol 938
 
23.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 405
13.4%
4 344
11.4%
3 326
10.8%
2 320
10.6%
5 311
10.3%
6 307
10.1%
7 280
9.2%
8 259
8.6%
9 247
8.2%
0 230
7.6%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
23.6%
1 405
10.2%
4 344
 
8.7%
3 326
 
8.2%
2 320
 
8.1%
5 311
 
7.8%
6 307
 
7.7%
7 280
 
7.1%
8 259
 
6.5%
9 247
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3029
76.4%
CJK Compat 938
 
23.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
1 405
13.4%
4 344
11.4%
3 326
10.8%
2 320
10.6%
5 311
10.3%
6 307
10.1%
7 280
9.2%
8 259
8.6%
9 247
8.2%
0 230
7.6%

대지총면적
Text

Distinct774
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T18:44:22.195991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.6268657
Min length4

Characters and Unicode

Total characters4340
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique650 ?
Unique (%)69.3%

Sample

1st row17909㎡
2nd row1454㎡
3rd row241㎡
4th row519㎡
5th row14844㎡
ValueCountFrequency (%)
645㎡ 5
 
0.5%
333㎡ 4
 
0.4%
264㎡ 4
 
0.4%
268㎡ 4
 
0.4%
630㎡ 4
 
0.4%
1000㎡ 4
 
0.4%
495㎡ 4
 
0.4%
957㎡ 3
 
0.3%
660㎡ 3
 
0.3%
584㎡ 3
 
0.3%
Other values (764) 900
95.9%
2024-03-13T18:44:22.646035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
21.6%
1 596
13.7%
2 349
 
8.0%
0 336
 
7.7%
3 333
 
7.7%
6 329
 
7.6%
4 321
 
7.4%
5 320
 
7.4%
8 295
 
6.8%
7 267
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3402
78.4%
Other Symbol 938
 
21.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 596
17.5%
2 349
10.3%
0 336
9.9%
3 333
9.8%
6 329
9.7%
4 321
9.4%
5 320
9.4%
8 295
8.7%
7 267
7.8%
9 256
7.5%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
21.6%
1 596
13.7%
2 349
 
8.0%
0 336
 
7.7%
3 333
 
7.7%
6 329
 
7.6%
4 321
 
7.4%
5 320
 
7.4%
8 295
 
6.8%
7 267
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3402
78.4%
CJK Compat 938
 
21.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
1 596
17.5%
2 349
10.3%
0 336
9.9%
3 333
9.8%
6 329
9.7%
4 321
9.4%
5 320
9.4%
8 295
8.7%
7 267
7.8%
9 256
7.5%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.857
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-13T18:44:22.774600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20181
Q120231
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.452715
Coefficient of variation (CV)0.00076408347
Kurtosis2.050769
Mean20223.857
Median Absolute Deviation (MAD)0
Skewness-1.9192908
Sum18969978
Variance238.7864
MonotonicityNot monotonic
2024-03-13T18:44:22.876901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 750
80.0%
20181 57
 
6.1%
20191 56
 
6.0%
20201 31
 
3.3%
20211 24
 
2.6%
20221 20
 
2.1%
ValueCountFrequency (%)
20181 57
 
6.1%
20191 56
 
6.0%
20201 31
 
3.3%
20211 24
 
2.6%
20221 20
 
2.1%
20231 750
80.0%
ValueCountFrequency (%)
20231 750
80.0%
20221 20
 
2.1%
20211 24
 
2.6%
20201 31
 
3.3%
20191 56
 
6.0%
20181 57
 
6.1%

주소
Text

Distinct915
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T18:44:23.162054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.765458
Min length15

Characters and Unicode

Total characters17602
Distinct characters255
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

Unique893 ?
Unique (%)95.2%

Sample

1st row서울특별시 금천구 독산로78다길 89
2nd row서울특별시 송파구 오금로24길 25
3rd row서울특별시 송파구 새말로8길 22-5
4th row서울특별시 중랑구 봉화산로 188
5th row서울특별시 중랑구 동일로149길 46
ValueCountFrequency (%)
서울특별시 937
25.0%
노원구 77
 
2.1%
강서구 61
 
1.6%
송파구 60
 
1.6%
성북구 53
 
1.4%
은평구 50
 
1.3%
양천구 48
 
1.3%
강남구 43
 
1.1%
영등포구 42
 
1.1%
관악구 39
 
1.0%
Other values (1123) 2342
62.4%
2024-03-13T18:44:23.549353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2814
16.0%
서 1101
 
6.3%
구 990
 
5.6%
시 950
 
5.4%
로 942
 
5.4%
울 940
 
5.3%
특 937
 
5.3%
별 937
 
5.3%
1 677
 
3.8%
길 604
 
3.4%
Other values (245) 6710
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11416
64.9%
Decimal Number 3271
 
18.6%
Space Separator 2814
 
16.0%
Dash Punctuation 101
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1101
 
9.6%
구 990
 
8.7%
시 950
 
8.3%
로 942
 
8.3%
울 940
 
8.2%
특 937
 
8.2%
별 937
 
8.2%
길 604
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3603
31.6%
Decimal Number
ValueCountFrequency (%)
1 677
20.7%
2 482
14.7%
3 378
11.6%
4 330
10.1%
5 305
9.3%
6 280
8.6%
7 223
 
6.8%
0 209
 
6.4%
8 195
 
6.0%
9 192
 
5.9%
Space Separator
ValueCountFrequency (%)
2814
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11416
64.9%
Common 6186
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1101
 
9.6%
구 990
 
8.7%
시 950
 
8.3%
로 942
 
8.3%
울 940
 
8.2%
특 937
 
8.2%
별 937
 
8.2%
길 604
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3603
31.6%
Common
ValueCountFrequency (%)
2814
45.5%
1 677
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 330
 
5.3%
5 305
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 209
 
3.4%
8 195
 
3.2%
Other values (2) 293
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11416
64.9%
ASCII 6186
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2814
45.5%
1 677
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 330
 
5.3%
5 305
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 209
 
3.4%
8 195
 
3.2%
Other values (2) 293
 
4.7%
Hangul
ValueCountFrequency (%)
서 1101
 
9.6%
구 990
 
8.7%
시 950
 
8.3%
로 942
 
8.3%
울 940
 
8.2%
특 937
 
8.2%
별 937
 
8.2%
길 604
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3603
31.6%

Interactions

2024-03-13T18:44:18.184939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T18:44:23.640783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육지원청명설립유형건축년도건물층수공시차수
교육지원청명1.0000.1520.4510.1380.059
설립유형0.1521.0000.5450.5130.205
건축년도0.4510.5451.0000.1010.000
건물층수0.1380.5130.1011.0000.214
공시차수0.0590.2050.0000.2141.000
2024-03-13T18:44:23.750087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형교육지원청명
건물층수1.0000.3020.051
설립유형0.3021.0000.092
교육지원청명0.0510.0921.000
2024-03-13T18:44:23.828532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수교육지원청명설립유형건물층수
공시차수1.0000.0000.2030.114
교육지원청명0.0001.0000.0920.051
설립유형0.2030.0921.0000.302
건물층수0.1140.0510.3021.000

Missing values

2024-03-13T18:44:18.298283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:44:18.438592image/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.

Sample

교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
0서울특별시교육청남부교육지원청006b5238-ce41-4471-9ee3-4df8d24b5141서울정심초등학교병설유치원공립(병설)2019년지상2층/ 지하0층784㎡17909㎡20231서울특별시 금천구 독산로78다길 89
1서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)1985년지상3층/ 지하1층929㎡1454㎡20231서울특별시 송파구 오금로24길 25
2서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)2010년지상4층/ 지하0층293㎡241㎡20231서울특별시 송파구 새말로8길 22-5
3서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)2021년지상1층/ 지하0층404㎡519㎡20231서울특별시 중랑구 봉화산로 188
4서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)2010년지상1층/ 지하0층1233㎡14844㎡20231서울특별시 중랑구 동일로149길 46
5서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)1991년지상4층/ 지하1층294㎡159㎡20221서울특별시 은평구 증산로21길 22
6서울특별시교육청서부교육지원청08d485cb-06c8-4964-bf03-ed1b178ef3fd서울소의초등학교병설유치원공립(병설)2000년지상1층/ 지하0층553㎡561㎡20231서울특별시 마포구 마포대로24길 42
7서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)2017년지상2층/ 지하0층418㎡9831㎡20231서울특별시 노원구 상계로9길 39
8서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)2022년지상4층/ 지하1층720㎡804㎡20231서울특별시 송파구 위례송파로 121
9서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)1992년지상2층/ 지하0층312㎡11600㎡20231서울특별시 도봉구 노해로70길 96
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
928서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)1970년지상2층/ 지하0층1089㎡15770㎡20231서울특별시 관악구 문성로28길 31
929서울특별시교육청서부교육지원청eb8cde61-5718-4f14-ab59-7df432e254ee서울한서초등학교병설유치원공립(병설)2006년지상1층/ 지하0층598㎡13618㎡20231서울특별시 마포구 대흥로24바길 27
930서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)2019년지상4층/ 지하0층165㎡185㎡20231서울특별시 동대문구 답십리로48길 56
931서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)1986년지상1층/ 지하0층177㎡600㎡20231서울특별시 노원구 노원로1길 36
932서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)2002년지상2층/ 지하0층492㎡612㎡20231서울특별시 성동구 무학봉15길 21
933서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)2017년지상4층/ 지하1층4489㎡11042㎡20191서울특별시 강동구 고덕로97길 80
934서울특별시교육청강남서초교육지원청fccf9482-0b1c-4f4b-a7e7-cffe7f40b07b서울학동초등학교병설유치원공립(병설)2020년지상1층/ 지하0층595㎡1039㎡20231서울특별시 강남구 선릉로115길 42
935서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)1992년지상2층/ 지하0층894㎡11089㎡20231서울특별시 강서구 허준로 186
936서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)1985년지상4층/ 지하0층550㎡6230㎡20231서울특별시 송파구 백제고분로 400
937서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)1994년지상3층/ 지하0층446㎡12032㎡20231서울특별시 강서구 강서로56나길 34