Overview

Dataset statistics

Number of variables23
Number of observations939
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory169.8 KiB
Average record size in memory185.1 B

Variable types

Categorical14
Text7
Boolean1
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,실내공기질 점검일자,실내공기질 점검결과,정기소독 의무대상시설여부,정기소독 점검일자,정기소독 점검결과,음용수종류(먹는샘물(생수)),음용수종류(정수기),음용수종류(상수도),음용수종류(지하수),지하수사용시 수질 검사여부,지하수사용시 검사일자,지하수사용시 검사결과,미세먼지 검사일자,미세먼지 검사결과,조도관리 검사일자,조도관리 검사결과,공시차수,주소
Author한국교육학술정보원
URLhttps://data.seoul.go.kr/dataList/OA-20574/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
지하수사용시 검사결과 has constant value ""Constant
미세먼지 검사결과 has constant value ""Constant
조도관리 검사결과 has constant value ""Constant
실내공기질 점검결과 is highly imbalanced (91.4%)Imbalance
정기소독 의무대상시설여부 is highly imbalanced (88.2%)Imbalance
정기소독 점검결과 is highly imbalanced (96.0%)Imbalance
음용수종류(먹는샘물(생수)) is highly imbalanced (65.3%)Imbalance
음용수종류(지하수) is highly imbalanced (91.5%)Imbalance
지하수사용시 수질 검사여부 is highly imbalanced (63.3%)Imbalance
지하수사용시 검사일자 is highly imbalanced (72.0%)Imbalance
유치원코드 has unique valuesUnique

Reproduction

Analysis started2024-03-13 14:39:12.905420
Analysis finished2024-03-13 14:39:13.459399
Duration0.55 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
939 

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 939
100.0%

Length

2024-03-13T23:39:13.506573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:13.579624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 939
100.0%

교육지원청명
Categorical

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
북부교육지원청
114 
강서양천교육지원청
109 
서부교육지원청
103 
강동송파교육지원청
98 
남부교육지원청
97 
Other values (6)
418 

Length

Max length9
Median length9
Mean length8.0734824
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 114
12.1%
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

2024-03-13T23:39:13.685140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북부교육지원청 114
12.1%
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 

Distinct939
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:13.870821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters33804
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

Unique939 ?
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-0841-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-078e-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-08de-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%
1ecec08d-080a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-080b-b044-e053-0a32095ab044 1
 
0.1%
Other values (929) 929
98.9%
2024-03-13T23:39:14.189161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5593
16.5%
- 3756
11.1%
4 3729
11.0%
e 2930
8.7%
c 2461
7.3%
a 2042
 
6.0%
5 2003
 
5.9%
3 2001
 
5.9%
b 2000
 
5.9%
8 1256
 
3.7%
Other values (7) 6033
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18997
56.2%
Lowercase Letter 11051
32.7%
Dash Punctuation 3756
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5593
29.4%
4 3729
19.6%
5 2003
 
10.5%
3 2001
 
10.5%
8 1256
 
6.6%
1 1241
 
6.5%
9 1198
 
6.3%
2 1190
 
6.3%
7 394
 
2.1%
6 392
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 2930
26.5%
c 2461
22.3%
a 2042
18.5%
b 2000
18.1%
d 832
 
7.5%
f 786
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 3756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22753
67.3%
Latin 11051
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5593
24.6%
- 3756
16.5%
4 3729
16.4%
5 2003
 
8.8%
3 2001
 
8.8%
8 1256
 
5.5%
1 1241
 
5.5%
9 1198
 
5.3%
2 1190
 
5.2%
7 394
 
1.7%
Latin
ValueCountFrequency (%)
e 2930
26.5%
c 2461
22.3%
a 2042
18.5%
b 2000
18.1%
d 832
 
7.5%
f 786
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5593
16.5%
- 3756
11.1%
4 3729
11.0%
e 2930
8.7%
c 2461
7.3%
a 2042
 
6.0%
5 2003
 
5.9%
3 2001
 
5.9%
b 2000
 
5.9%
8 1256
 
3.7%
Other values (7) 6033
17.8%

유치원명
Text

Distinct843
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:14.460120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.686901
Min length4

Characters and Unicode

Total characters7218
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

Unique772 ?
Unique (%)82.2%

Sample

1st row서울정심초등학교병설유치원
2nd row서울솔방울유치원
3rd row란키즈유치원
4th row서울신현초등학교병설유치원
5th row서울신묵초등학교병설유치원
ValueCountFrequency (%)
사랑유치원 5
 
0.5%
예일유치원 5
 
0.5%
하나유치원 4
 
0.4%
새싹유치원 4
 
0.4%
예원유치원 4
 
0.4%
천사유치원 3
 
0.3%
벧엘유치원 3
 
0.3%
영은유치원 3
 
0.3%
서울유치원 3
 
0.3%
돌샘유치원 3
 
0.3%
Other values (837) 906
96.1%
2024-03-13T23:39:14.833653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (303) 2398
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7214
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (302) 2394
33.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7214
99.9%
Common 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (302) 2394
33.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7214
99.9%
ASCII 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 975
13.5%
유 952
 
13.2%
치 940
 
13.0%
서 327
 
4.5%
울 317
 
4.4%
학 272
 
3.8%
교 266
 
3.7%
등 261
 
3.6%
설 255
 
3.5%
초 255
 
3.5%
Other values (302) 2394
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)
252 
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
53.0%
공립(병설) 252
26.8%
사립(법인) 140
 
14.9%
공립(단설) 49
 
5.2%

Length

2024-03-13T23:39:14.945924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:15.032081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 498
53.0%
공립(병설 252
26.8%
사립(법인 140
 
14.9%
공립(단설 49
 
5.2%

실내공기질 점검일자
Text

Distinct292
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:15.276521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9776358
Min length1

Characters and Unicode

Total characters7491
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)16.0%

Sample

1st row20230905
2nd row20230829
3rd row20230612
4th row20230818
5th row20230407
ValueCountFrequency (%)
20230713 19
 
2.0%
20230720 18
 
1.9%
20230601 17
 
1.8%
20230531 15
 
1.6%
20230719 13
 
1.4%
20230509 12
 
1.3%
20230615 12
 
1.3%
20230516 12
 
1.3%
20230609 12
 
1.3%
20230512 12
 
1.3%
Other values (282) 797
84.9%
2024-03-13T23:39:15.672020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2237
29.9%
2 2175
29.0%
3 949
12.7%
1 654
 
8.7%
8 323
 
4.3%
5 267
 
3.6%
9 232
 
3.1%
6 229
 
3.1%
7 219
 
2.9%
4 203
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7488
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2237
29.9%
2 2175
29.0%
3 949
12.7%
1 654
 
8.7%
8 323
 
4.3%
5 267
 
3.6%
9 232
 
3.1%
6 229
 
3.1%
7 219
 
2.9%
4 203
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2237
29.9%
2 2175
29.0%
3 949
12.7%
1 654
 
8.7%
8 323
 
4.3%
5 267
 
3.6%
9 232
 
3.1%
6 229
 
3.1%
7 219
 
2.9%
4 203
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2237
29.9%
2 2175
29.0%
3 949
12.7%
1 654
 
8.7%
8 323
 
4.3%
5 267
 
3.6%
9 232
 
3.1%
6 229
 
3.1%
7 219
 
2.9%
4 203
 
2.7%

실내공기질 점검결과
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
적합
923 
부적합
 
13
미실시
 
3

Length

Max length3
Median length2
Mean length2.0170394
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 923
98.3%
부적합 13
 
1.4%
미실시 3
 
0.3%

Length

2024-03-13T23:39:15.805128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:15.888186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 923
98.3%
부적합 13
 
1.4%
미실시 3
 
0.3%

정기소독 의무대상시설여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
True
924 
False
 
15
ValueCountFrequency (%)
True 924
98.4%
False 15
 
1.6%
2024-03-13T23:39:15.951467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정기소독 점검일자
Text

Distinct251
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:16.134636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.970181
Min length1

Characters and Unicode

Total characters7484
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)15.8%

Sample

1st row20230912
2nd row20230922
3rd row20230911
4th row20230616
5th row20230912
ValueCountFrequency (%)
20230915 39
 
4.2%
20230908 32
 
3.4%
20230916 26
 
2.8%
20230825 24
 
2.6%
20230921 24
 
2.6%
20230911 23
 
2.4%
20230920 23
 
2.4%
20230912 21
 
2.2%
20230922 21
 
2.2%
20230914 21
 
2.2%
Other values (241) 685
72.9%
2024-03-13T23:39:16.452841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2206
29.5%
0 2184
29.2%
3 882
 
11.8%
1 636
 
8.5%
9 621
 
8.3%
8 464
 
6.2%
5 139
 
1.9%
7 135
 
1.8%
6 109
 
1.5%
4 104
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7480
99.9%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2206
29.5%
0 2184
29.2%
3 882
 
11.8%
1 636
 
8.5%
9 621
 
8.3%
8 464
 
6.2%
5 139
 
1.9%
7 135
 
1.8%
6 109
 
1.5%
4 104
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2206
29.5%
0 2184
29.2%
3 882
 
11.8%
1 636
 
8.5%
9 621
 
8.3%
8 464
 
6.2%
5 139
 
1.9%
7 135
 
1.8%
6 109
 
1.5%
4 104
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2206
29.5%
0 2184
29.2%
3 882
 
11.8%
1 636
 
8.5%
9 621
 
8.3%
8 464
 
6.2%
5 139
 
1.9%
7 135
 
1.8%
6 109
 
1.5%
4 104
 
1.4%

정기소독 점검결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
실시
935 
미실시
 
4

Length

Max length3
Median length2
Mean length2.0042599
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 935
99.6%
미실시 4
 
0.4%

Length

2024-03-13T23:39:16.599491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:16.712861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 935
99.6%
미실시 4
 
0.4%

음용수종류(먹는샘물(생수))
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
-
878 
O
 
61

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 878
93.5%
O 61
 
6.5%

Length

2024-03-13T23:39:16.810997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:16.897490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
878
93.5%
o 61
 
6.5%

음용수종류(정수기)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
O
632 
-
307 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd rowO
4th row-
5th row-

Common Values

ValueCountFrequency (%)
O 632
67.3%
- 307
32.7%

Length

2024-03-13T23:39:16.974761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:17.049321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 632
67.3%
307
32.7%

음용수종류(상수도)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
-
650 
O
289 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 650
69.2%
O 289
30.8%

Length

2024-03-13T23:39:17.129155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:17.202613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
650
69.2%
o 289
30.8%

음용수종류(지하수)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
-
929 
O
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 929
98.9%
O 10
 
1.1%

Length

2024-03-13T23:39:17.278224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:17.350005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
929
98.9%
o 10
 
1.1%

지하수사용시 수질 검사여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
N
825 
-
105 
Y
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd rowN
4th row-
5th row-

Common Values

ValueCountFrequency (%)
N 825
87.9%
- 105
 
11.2%
Y 9
 
1.0%

Length

2024-03-13T23:39:17.444729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:17.541119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 825
87.9%
105
 
11.2%
y 9
 
1.0%

지하수사용시 검사일자
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
684 
-
246 
20170310
 
2
20161017
 
1
20160906
 
1
Other values (5)
 
5

Length

Max length8
Median length1
Mean length1.0670927
Min length1

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st row-
2nd row-
3rd row
4th row-
5th row-

Common Values

ValueCountFrequency (%)
684
72.8%
- 246
 
26.2%
20170310 2
 
0.2%
20161017 1
 
0.1%
20160906 1
 
0.1%
20161115 1
 
0.1%
20161004 1
 
0.1%
20160915 1
 
0.1%
20161028 1
 
0.1%
20170315 1
 
0.1%

Length

2024-03-13T23:39:17.652630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:17.755082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
246
96.5%
20170310 2
 
0.8%
20161017 1
 
0.4%
20160906 1
 
0.4%
20161115 1
 
0.4%
20161004 1
 
0.4%
20160915 1
 
0.4%
20161028 1
 
0.4%
20170315 1
 
0.4%

지하수사용시 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
-
939 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 939
100.0%

Length

2024-03-13T23:39:17.871660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:17.940462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
939
100.0%

미세먼지 검사일자
Text

Distinct292
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:18.153018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8509052
Min length1

Characters and Unicode

Total characters7372
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)15.3%

Sample

1st row20230905
2nd row20230829
3rd row20230612
4th row20230818
5th row20230407
ValueCountFrequency (%)
20
 
2.1%
20230901 17
 
1.8%
20230904 16
 
1.7%
20230720 15
 
1.6%
20230713 15
 
1.6%
20230531 13
 
1.4%
20230601 12
 
1.3%
20230615 12
 
1.3%
20230503 11
 
1.2%
20230509 11
 
1.2%
Other values (282) 797
84.9%
2024-03-13T23:39:18.805339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2205
29.9%
2 2134
28.9%
3 964
13.1%
1 662
 
9.0%
8 277
 
3.8%
9 275
 
3.7%
5 244
 
3.3%
7 204
 
2.8%
6 197
 
2.7%
4 190
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7352
99.7%
Dash Punctuation 20
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2205
30.0%
2 2134
29.0%
3 964
13.1%
1 662
 
9.0%
8 277
 
3.8%
9 275
 
3.7%
5 244
 
3.3%
7 204
 
2.8%
6 197
 
2.7%
4 190
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2205
29.9%
2 2134
28.9%
3 964
13.1%
1 662
 
9.0%
8 277
 
3.8%
9 275
 
3.7%
5 244
 
3.3%
7 204
 
2.8%
6 197
 
2.7%
4 190
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2205
29.9%
2 2134
28.9%
3 964
13.1%
1 662
 
9.0%
8 277
 
3.8%
9 275
 
3.7%
5 244
 
3.3%
7 204
 
2.8%
6 197
 
2.7%
4 190
 
2.6%

미세먼지 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
-
939 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 939
100.0%

Length

2024-03-13T23:39:18.975399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:19.046120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
939
100.0%

조도관리 검사일자
Text

Distinct284
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:19.261841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.7018104
Min length1

Characters and Unicode

Total characters7232
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)15.9%

Sample

1st row20230905
2nd row20230829
3rd row20230612
4th row20230818
5th row20230407
ValueCountFrequency (%)
40
 
4.3%
20230713 19
 
2.0%
20230720 17
 
1.8%
20230531 15
 
1.6%
20230601 15
 
1.6%
20230503 12
 
1.3%
20230519 12
 
1.3%
20230509 12
 
1.3%
20230512 11
 
1.2%
20230609 11
 
1.2%
Other values (274) 775
82.5%
2024-03-13T23:39:19.652543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2154
29.8%
2 2099
29.0%
3 939
13.0%
1 628
 
8.7%
8 285
 
3.9%
5 263
 
3.6%
9 240
 
3.3%
7 205
 
2.8%
6 199
 
2.8%
4 180
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7192
99.4%
Dash Punctuation 40
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2154
29.9%
2 2099
29.2%
3 939
13.1%
1 628
 
8.7%
8 285
 
4.0%
5 263
 
3.7%
9 240
 
3.3%
7 205
 
2.9%
6 199
 
2.8%
4 180
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2154
29.8%
2 2099
29.0%
3 939
13.0%
1 628
 
8.7%
8 285
 
3.9%
5 263
 
3.6%
9 240
 
3.3%
7 205
 
2.8%
6 199
 
2.8%
4 180
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2154
29.8%
2 2099
29.0%
3 939
13.0%
1 628
 
8.7%
8 285
 
3.9%
5 263
 
3.6%
9 240
 
3.3%
7 205
 
2.8%
6 199
 
2.8%
4 180
 
2.5%

조도관리 검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
-
939 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 939
100.0%

Length

2024-03-13T23:39:19.775362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:39:19.872084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
939
100.0%

공시차수
Real number (ℝ)

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20224.855
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-13T23:39:19.961088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.460049
Coefficient of variation (CV)0.00076440839
Kurtosis2.04989
Mean20224.855
Median Absolute Deviation (MAD)0
Skewness-1.9195254
Sum18991139
Variance239.01312
MonotonicityNot monotonic
2024-03-13T23:39:20.059412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20232 750
79.9%
20182 57
 
6.1%
20192 51
 
5.4%
20202 30
 
3.2%
20212 23
 
2.4%
20222 19
 
2.0%
20191 5
 
0.5%
20211 1
 
0.1%
20221 1
 
0.1%
20231 1
 
0.1%
ValueCountFrequency (%)
20182 57
6.1%
20191 5
 
0.5%
20192 51
5.4%
20201 1
 
0.1%
20202 30
3.2%
20211 1
 
0.1%
20212 23
2.4%
20221 1
 
0.1%
20222 19
 
2.0%
20231 1
 
0.1%
ValueCountFrequency (%)
20232 750
79.9%
20231 1
 
0.1%
20222 19
 
2.0%
20221 1
 
0.1%
20212 23
 
2.4%
20211 1
 
0.1%
20202 30
 
3.2%
20201 1
 
0.1%
20192 51
 
5.4%
20191 5
 
0.5%

주소
Text

Distinct916
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T23:39:20.316660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.766773
Min length15

Characters and Unicode

Total characters17622
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

Unique894 ?
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 938
25.0%
노원구 78
 
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) 2344
62.4%
2024-03-13T23:39:20.691403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2817
16.0%
서 1102
 
6.3%
구 991
 
5.6%
시 951
 
5.4%
로 943
 
5.4%
울 941
 
5.3%
별 938
 
5.3%
특 938
 
5.3%
1 678
 
3.8%
길 605
 
3.4%
Other values (245) 6718
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11429
64.9%
Decimal Number 3275
 
18.6%
Space Separator 2817
 
16.0%
Dash Punctuation 101
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 951
 
8.3%
로 943
 
8.3%
울 941
 
8.2%
별 938
 
8.2%
특 938
 
8.2%
길 605
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%
Decimal Number
ValueCountFrequency (%)
1 678
20.7%
2 482
14.7%
3 378
11.5%
4 331
10.1%
5 306
9.3%
6 280
8.5%
7 223
 
6.8%
0 210
 
6.4%
8 195
 
6.0%
9 192
 
5.9%
Space Separator
ValueCountFrequency (%)
2817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11429
64.9%
Common 6193
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 951
 
8.3%
로 943
 
8.3%
울 941
 
8.2%
별 938
 
8.2%
특 938
 
8.2%
길 605
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%
Common
ValueCountFrequency (%)
2817
45.5%
1 678
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 331
 
5.3%
5 306
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 210
 
3.4%
8 195
 
3.1%
Other values (2) 293
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11429
64.9%
ASCII 6193
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2817
45.5%
1 678
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 331
 
5.3%
5 306
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 210
 
3.4%
8 195
 
3.1%
Other values (2) 293
 
4.7%
Hangul
ValueCountFrequency (%)
서 1102
 
9.6%
구 991
 
8.7%
시 951
 
8.3%
로 943
 
8.3%
울 941
 
8.2%
별 938
 
8.2%
특 938
 
8.2%
길 605
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3608
31.6%

Sample

교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
0서울특별시교육청남부교육지원청006b5238-ce41-4471-9ee3-4df8d24b5141서울정심초등학교병설유치원공립(병설)20230905적합Y20230912실시-------20230905-20230905-20232서울특별시 금천구 독산로78다길 89
1서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)20230829적합Y20230922실시-------20230829-20230829-20232서울특별시 송파구 오금로24길 25
2서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)20230612적합Y20230911실시-O--N-20230612-20230612-20232서울특별시 송파구 새말로8길 22-5
3서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)20230818적합Y20230616실시-------20230818-20230818-20232서울특별시 중랑구 봉화산로 188
4서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)20230407적합Y20230912실시-------20230407-20230407-20232서울특별시 중랑구 동일로149길 46
5서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)20220325적합Y20220919실시-O--N-20220919-20220922-20222서울특별시 은평구 증산로21길 22
6서울특별시교육청서부교육지원청08d485cb-06c8-4964-bf03-ed1b178ef3fd서울소의초등학교병설유치원공립(병설)20230629적합Y20230826실시-------20230629-20230629-20232서울특별시 마포구 마포대로24길 42
7서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)20230607부적합Y20230811실시-OO-N-20230607-20230607-20232서울특별시 노원구 상계로9길 39
8서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)20230406적합Y20230823실시-------20230420-20230420-20232서울특별시 송파구 위례송파로 121
9서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)20230609적합Y20230822실시-------20230320---20232서울특별시 도봉구 노해로70길 96
교육청명교육지원청명유치원코드유치원명설립유형실내공기질 점검일자실내공기질 점검결과정기소독 의무대상시설여부정기소독 점검일자정기소독 점검결과음용수종류(먹는샘물(생수))음용수종류(정수기)음용수종류(상수도)음용수종류(지하수)지하수사용시 수질 검사여부지하수사용시 검사일자지하수사용시 검사결과미세먼지 검사일자미세먼지 검사결과조도관리 검사일자조도관리 검사결과공시차수주소
929서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)20230516부적합Y20230725실시-------20230516-20230516-20232서울특별시 관악구 문성로28길 31
930서울특별시교육청서부교육지원청eb8cde61-5718-4f14-ab59-7df432e254ee서울한서초등학교병설유치원공립(병설)20230516적합Y20230713실시--O-N-20230516-20230516-20232서울특별시 마포구 대흥로24바길 27
931서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)20230720적합Y20230902실시-------20230831-20230831-20232서울특별시 동대문구 답십리로48길 56
932서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)20230830적합Y20230821실시-------20230830-20230830-20232서울특별시 노원구 노원로1길 36
933서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)20230615적합Y20230512실시-------20230615-20230615-20232서울특별시 성동구 무학봉15길 21
934서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)20180919적합Y20190819실시-----------20192서울특별시 강동구 고덕로97길 80
935서울특별시교육청강남서초교육지원청fccf9482-0b1c-4f4b-a7e7-cffe7f40b07b서울학동초등학교병설유치원공립(병설)20230608적합Y20230906실시-------20230608-20230608-20232서울특별시 강남구 선릉로115길 42
936서울특별시교육청강서양천교육지원청fd885965-9f40-46c1-879e-82acd096a57e서울가양초등학교병설유치원공립(병설)20230509적합Y20230824실시-O--N-20230509-20230509-20232서울특별시 강서구 허준로 186
937서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)20230404적합Y20230917실시-------20230404-20230404-20232서울특별시 송파구 백제고분로 400
938서울특별시교육청강서양천교육지원청fe178e0b-2595-4d65-863b-0d8924203e02서울등명초등학교병설유치원공립(병설)20230428부적합Y20230901실시-------20230428-20230428-20232서울특별시 강서구 강서로56나길 34