Overview

Dataset statistics

Number of variables19
Number of observations152
Missing cells304
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory158.9 B

Variable types

Categorical11
Text4
Unsupported2
DateTime2

Dataset

Description동작관악교육지원청 평생교육건강과 평생교육시설 현황(원격교육형태, 언론기관부설, 시민사회단체부설, 지식인력개발사업관련)
Author서울특별시교육청 서울특별시동작관악교육지원청
URLhttps://www.data.go.kr/data/15108873/fileData.do

Alerts

시도교육청명 has constant value ""Constant
시도교육청코드 has constant value ""Constant
교육지원청명 has constant value ""Constant
교육지원청코드 has constant value ""Constant
시도코드 has constant value ""Constant
시도명 has constant value ""Constant
학력인정여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시군구명 is highly overall correlated with 시군구코드High correlation
시군구코드 is highly overall correlated with 시군구명High correlation
등록상태구분명 is highly imbalanced (79.1%)Imbalance
소재지지번주소 has 152 (100.0%) missing valuesMissing
학력인정연도 has 152 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
학력인정연도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:06:42.650879
Analysis finished2023-12-12 10:06:43.874953
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분명
Categorical

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
원격교육형태
76 
언론기관부설
53 
시민사회단체부설
11 
지식.인력개발사업관련
10 
사업장부설
 
2

Length

Max length11
Median length6
Mean length6.4605263
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지식.인력개발사업관련
2nd row원격교육형태
3rd row원격교육형태
4th row시민사회단체부설
5th row원격교육형태

Common Values

ValueCountFrequency (%)
원격교육형태 76
50.0%
언론기관부설 53
34.9%
시민사회단체부설 11
 
7.2%
지식.인력개발사업관련 10
 
6.6%
사업장부설 2
 
1.3%

Length

2023-12-12T19:06:43.966130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:44.114501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원격교육형태 76
50.0%
언론기관부설 53
34.9%
시민사회단체부설 11
 
7.2%
지식.인력개발사업관련 10
 
6.6%
사업장부설 2
 
1.3%

시설명
Text

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:06:44.352052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18.5
Mean length12.651316
Min length7

Characters and Unicode

Total characters1923
Distinct characters260
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)100.0%

Sample

1st row국제문화사회교육원
2nd row렉스미디어원격평생교육시설
3rd row메가고시원격평생교육시설
4th row한국체력향상협회부설평생교육시설
5th row로스쿨원격평생교육시설
ValueCountFrequency (%)
평생교육원 3
 
1.8%
원격평생교육원 3
 
1.8%
평생교육시설 2
 
1.2%
한국응급처치평생교육원 1
 
0.6%
룩스필라테스구로디지털역점평생교육원 1
 
0.6%
룩스필라테스남성역점평생교육원 1
 
0.6%
팀노바온원격평생교육원 1
 
0.6%
맑은원격평생교육원 1
 
0.6%
이브필라테스신림평생교육원 1
 
0.6%
한국지식공유협회평생교육원 1
 
0.6%
Other values (148) 148
90.8%
2023-12-12T19:06:44.756074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 193
 
10.0%
교 161
 
8.4%
육 154
 
8.0%
평 148
 
7.7%
생 146
 
7.6%
격 69
 
3.6%
스 57
 
3.0%
시 43
 
2.2%
설 42
 
2.2%
라 27
 
1.4%
Other values (250) 883
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1876
97.6%
Uppercase Letter 22
 
1.1%
Space Separator 11
 
0.6%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 193
 
10.3%
교 161
 
8.6%
육 154
 
8.2%
평 148
 
7.9%
생 146
 
7.8%
격 69
 
3.7%
스 57
 
3.0%
시 43
 
2.3%
설 42
 
2.2%
라 27
 
1.4%
Other values (234) 836
44.6%
Uppercase Letter
ValueCountFrequency (%)
S 7
31.8%
T 4
18.2%
G 2
 
9.1%
C 2
 
9.1%
V 2
 
9.1%
A 1
 
4.5%
Z 1
 
4.5%
N 1
 
4.5%
E 1
 
4.5%
I 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1876
97.6%
Common 25
 
1.3%
Latin 22
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 193
 
10.3%
교 161
 
8.6%
육 154
 
8.2%
평 148
 
7.9%
생 146
 
7.8%
격 69
 
3.7%
스 57
 
3.0%
시 43
 
2.3%
설 42
 
2.2%
라 27
 
1.4%
Other values (234) 836
44.6%
Latin
ValueCountFrequency (%)
S 7
31.8%
T 4
18.2%
G 2
 
9.1%
C 2
 
9.1%
V 2
 
9.1%
A 1
 
4.5%
Z 1
 
4.5%
N 1
 
4.5%
E 1
 
4.5%
I 1
 
4.5%
Common
ValueCountFrequency (%)
11
44.0%
) 4
 
16.0%
( 4
 
16.0%
& 3
 
12.0%
1 2
 
8.0%
4 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1876
97.6%
ASCII 47
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 193
 
10.3%
교 161
 
8.6%
육 154
 
8.2%
평 148
 
7.9%
생 146
 
7.8%
격 69
 
3.7%
스 57
 
3.0%
시 43
 
2.3%
설 42
 
2.2%
라 27
 
1.4%
Other values (234) 836
44.6%
ASCII
ValueCountFrequency (%)
11
23.4%
S 7
14.9%
T 4
 
8.5%
) 4
 
8.5%
( 4
 
8.5%
& 3
 
6.4%
G 2
 
4.3%
C 2
 
4.3%
V 2
 
4.3%
1 2
 
4.3%
Other values (6) 6
12.8%

시도교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시교육청
152 

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 152
100.0%

Length

2023-12-12T19:06:44.942437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:45.065736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 152
100.0%

시도교육청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
7010000
152 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7010000
2nd row7010000
3rd row7010000
4th row7010000
5th row7010000

Common Values

ValueCountFrequency (%)
7010000 152
100.0%

Length

2023-12-12T19:06:45.195561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:45.313855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7010000 152
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
동작관악교육지원청
152 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 152
100.0%

Length

2023-12-12T19:06:45.449959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:45.572783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 152
100.0%

교육지원청코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
7132000
152 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7132000
2nd row7132000
3rd row7132000
4th row7132000
5th row7132000

Common Values

ValueCountFrequency (%)
7132000 152
100.0%

Length

2023-12-12T19:06:45.711164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:45.836544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7132000 152
100.0%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
11
152 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 152
100.0%

Length

2023-12-12T19:06:45.954230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:46.068174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 152
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시
152 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 152
100.0%

Length

2023-12-12T19:06:46.220456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:46.362415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 152
100.0%

시군구코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
11590
81 
11620
71 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11620
2nd row11620
3rd row11620
4th row11620
5th row11620

Common Values

ValueCountFrequency (%)
11590 81
53.3%
11620 71
46.7%

Length

2023-12-12T19:06:46.482002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:46.624005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11590 81
53.3%
11620 71
46.7%

시군구명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
동작구
81 
관악구
71 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작구 81
53.3%
관악구 71
46.7%

Length

2023-12-12T19:06:46.754887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:46.896686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작구 81
53.3%
관악구 71
46.7%

소재지도로명주소
Text

Distinct145
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:06:47.345921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length33.986842
Min length20

Characters and Unicode

Total characters5166
Distinct characters188
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)92.1%

Sample

1st row서울특별시 관악구 남부순환로 1794 하버드텔708,709호 (봉천동)
2nd row서울특별시 관악구 호암로24길 23,8층 일부(신림동)
3rd row서울특별시 관악구 신림로 127, 201호 일부 (신림동)
4th row서울특별시 관악구 남부순환로 1369 , 4층 3호(신림동)
5th row서울특별시 관악구 신림로 77 합격빌딩 지1층 (신림동)
ValueCountFrequency (%)
서울특별시 152
 
14.1%
동작구 81
 
7.5%
관악구 71
 
6.6%
62
 
5.8%
일부 53
 
4.9%
3층 29
 
2.7%
2층 22
 
2.0%
4층 20
 
1.9%
봉천동 19
 
1.8%
노량진로 19
 
1.8%
Other values (310) 547
50.9%
2023-12-12T19:06:48.134047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
942
 
18.2%
동 236
 
4.6%
, 192
 
3.7%
서 156
 
3.0%
시 153
 
3.0%
울 153
 
3.0%
구 153
 
3.0%
1 153
 
3.0%
특 152
 
2.9%
별 152
 
2.9%
Other values (178) 2724
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2959
57.3%
Space Separator 942
 
18.2%
Decimal Number 758
 
14.7%
Other Punctuation 192
 
3.7%
Close Punctuation 142
 
2.7%
Open Punctuation 142
 
2.7%
Dash Punctuation 18
 
0.3%
Uppercase Letter 11
 
0.2%
Control 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 236
 
8.0%
서 156
 
5.3%
시 153
 
5.2%
울 153
 
5.2%
구 153
 
5.2%
특 152
 
5.1%
별 152
 
5.1%
층 142
 
4.8%
로 140
 
4.7%
부 99
 
3.3%
Other values (156) 1423
48.1%
Decimal Number
ValueCountFrequency (%)
1 153
20.2%
3 112
14.8%
2 110
14.5%
0 87
11.5%
4 75
9.9%
7 56
 
7.4%
6 50
 
6.6%
8 41
 
5.4%
5 41
 
5.4%
9 33
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
S 3
27.3%
A 2
18.2%
T 2
18.2%
P 1
 
9.1%
Space Separator
ValueCountFrequency (%)
942
100.0%
Other Punctuation
ValueCountFrequency (%)
, 192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2958
57.3%
Common 2196
42.5%
Latin 11
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 236
 
8.0%
서 156
 
5.3%
시 153
 
5.2%
울 153
 
5.2%
구 153
 
5.2%
특 152
 
5.1%
별 152
 
5.1%
층 142
 
4.8%
로 140
 
4.7%
부 99
 
3.3%
Other values (155) 1422
48.1%
Common
ValueCountFrequency (%)
942
42.9%
, 192
 
8.7%
1 153
 
7.0%
) 142
 
6.5%
( 142
 
6.5%
3 112
 
5.1%
2 110
 
5.0%
0 87
 
4.0%
4 75
 
3.4%
7 56
 
2.6%
Other values (7) 185
 
8.4%
Latin
ValueCountFrequency (%)
C 3
27.3%
S 3
27.3%
A 2
18.2%
T 2
18.2%
P 1
 
9.1%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2958
57.3%
ASCII 2207
42.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
942
42.7%
, 192
 
8.7%
1 153
 
6.9%
) 142
 
6.4%
( 142
 
6.4%
3 112
 
5.1%
2 110
 
5.0%
0 87
 
3.9%
4 75
 
3.4%
7 56
 
2.5%
Other values (12) 196
 
8.9%
Hangul
ValueCountFrequency (%)
동 236
 
8.0%
서 156
 
5.3%
시 153
 
5.2%
울 153
 
5.2%
구 153
 
5.2%
특 152
 
5.1%
별 152
 
5.1%
층 142
 
4.8%
로 140
 
4.7%
부 99
 
3.3%
Other values (155) 1422
48.1%
CJK
ValueCountFrequency (%)
家 1
100.0%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

설립자명
Text

Distinct142
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:06:48.456736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.6578947
Min length3

Characters and Unicode

Total characters1164
Distinct characters248
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)87.5%

Sample

1st row신혜정
2nd row신호창
3rd row㈜인해교육
4th row(사)한국체력향상협회
5th row(주)에듀패스
ValueCountFrequency (%)
주식회사 38
 
18.9%
사단법인 4
 
2.0%
㈜ 3
 
1.5%
㈜대교 3
 
1.5%
한국지식공유협회 2
 
1.0%
최영석 2
 
1.0%
주)기독교텔레비전 2
 
1.0%
㈜프리듀 2
 
1.0%
주)톡커스 2
 
1.0%
주)케이지에듀원 2
 
1.0%
Other values (138) 141
70.1%
2023-12-12T19:06:48.981902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 74
 
6.4%
회 54
 
4.6%
사 53
 
4.6%
49
 
4.2%
식 42
 
3.6%
) 40
 
3.4%
스 30
 
2.6%
( 30
 
2.6%
교 27
 
2.3%
이 26
 
2.2%
Other values (238) 739
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1028
88.3%
Space Separator 49
 
4.2%
Close Punctuation 40
 
3.4%
Open Punctuation 30
 
2.6%
Other Symbol 17
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 74
 
7.2%
회 54
 
5.3%
사 53
 
5.2%
식 42
 
4.1%
스 30
 
2.9%
교 27
 
2.6%
이 26
 
2.5%
에 23
 
2.2%
한 21
 
2.0%
듀 15
 
1.5%
Other values (234) 663
64.5%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1045
89.8%
Common 119
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 74
 
7.1%
회 54
 
5.2%
사 53
 
5.1%
식 42
 
4.0%
스 30
 
2.9%
교 27
 
2.6%
이 26
 
2.5%
에 23
 
2.2%
한 21
 
2.0%
㈜ 17
 
1.6%
Other values (235) 678
64.9%
Common
ValueCountFrequency (%)
49
41.2%
) 40
33.6%
( 30
25.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1028
88.3%
ASCII 119
 
10.2%
None 17
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 74
 
7.2%
회 54
 
5.3%
사 53
 
5.2%
식 42
 
4.1%
스 30
 
2.9%
교 27
 
2.6%
이 26
 
2.5%
에 23
 
2.2%
한 21
 
2.0%
듀 15
 
1.5%
Other values (234) 663
64.5%
ASCII
ValueCountFrequency (%)
49
41.2%
) 40
33.6%
( 30
25.2%
None
ValueCountFrequency (%)
㈜ 17
100.0%

전화번호
Text

Distinct132
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:06:49.323841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.269737
Min length9

Characters and Unicode

Total characters1713
Distinct characters21
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

Unique122 ?
Unique (%)80.3%

Sample

1st row02-873-7241
2nd row02-883-8035
3rd row02-871-6577
4th row02-886-4931
5th row02-870-8150
ValueCountFrequency (%)
관할 11
 
6.3%
문의 11
 
6.3%
교육지원청 11
 
6.3%
02-878-1945 3
 
1.7%
02-595-5746 2
 
1.1%
02-833-0522 2
 
1.1%
02-829-0413 2
 
1.1%
02-888-5704 2
 
1.1%
02-1599-9662 2
 
1.1%
02-884-0110 2
 
1.1%
Other values (124) 126
72.4%
2023-12-12T19:06:49.876553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 280
16.3%
0 253
14.8%
2 238
13.9%
8 194
11.3%
1 111
 
6.5%
7 111
 
6.5%
5 109
 
6.4%
6 87
 
5.1%
3 79
 
4.6%
4 68
 
4.0%
Other values (11) 183
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1311
76.5%
Dash Punctuation 280
 
16.3%
Other Letter 99
 
5.8%
Space Separator 23
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 253
19.3%
2 238
18.2%
8 194
14.8%
1 111
8.5%
7 111
8.5%
5 109
8.3%
6 87
 
6.6%
3 79
 
6.0%
4 68
 
5.2%
9 61
 
4.7%
Other Letter
ValueCountFrequency (%)
문 11
11.1%
의 11
11.1%
할 11
11.1%
청 11
11.1%
원 11
11.1%
지 11
11.1%
육 11
11.1%
교 11
11.1%
관 11
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1614
94.2%
Hangul 99
 
5.8%

Most frequent character per script

Common
ValueCountFrequency (%)
- 280
17.3%
0 253
15.7%
2 238
14.7%
8 194
12.0%
1 111
 
6.9%
7 111
 
6.9%
5 109
 
6.8%
6 87
 
5.4%
3 79
 
4.9%
4 68
 
4.2%
Other values (2) 84
 
5.2%
Hangul
ValueCountFrequency (%)
문 11
11.1%
의 11
11.1%
할 11
11.1%
청 11
11.1%
원 11
11.1%
지 11
11.1%
육 11
11.1%
교 11
11.1%
관 11
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1614
94.2%
Hangul 99
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 280
17.3%
0 253
15.7%
2 238
14.7%
8 194
12.0%
1 111
 
6.9%
7 111
 
6.9%
5 109
 
6.8%
6 87
 
5.4%
3 79
 
4.9%
4 68
 
4.2%
Other values (2) 84
 
5.2%
Hangul
ValueCountFrequency (%)
문 11
11.1%
의 11
11.1%
할 11
11.1%
청 11
11.1%
원 11
11.1%
지 11
11.1%
육 11
11.1%
교 11
11.1%
관 11
11.1%

등록일자
Date

Distinct141
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2000-03-10 00:00:00
Maximum2022-10-17 00:00:00
2023-12-12T19:06:50.174427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:06:50.757004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록상태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
개원
147 
휴원
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 147
96.7%
휴원 5
 
3.3%

Length

2023-12-12T19:06:50.957635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:51.109685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 147
96.7%
휴원 5
 
3.3%

학력인정여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
X
152 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 152
100.0%

Length

2023-12-12T19:06:51.262800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:06:51.397107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 152
100.0%

학력인정연도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size1.5 KiB

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2022-12-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T19:06:51.503923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:06:51.617817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T19:06:51.708947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분명시군구코드시군구명등록상태구분명
시설구분명1.0000.1440.1440.000
시군구코드0.1441.0001.0000.000
시군구명0.1441.0001.0000.000
등록상태구분명0.0000.0000.0001.000
2023-12-12T19:06:51.826864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록상태구분명시설구분명시군구명시군구코드
등록상태구분명1.0000.0000.0000.000
시설구분명0.0001.0000.1740.174
시군구명0.0000.1741.0000.987
시군구코드0.0000.1740.9871.000
2023-12-12T19:06:51.954814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분명시군구코드시군구명등록상태구분명
시설구분명1.0000.1740.1740.000
시군구코드0.1741.0000.9870.000
시군구명0.1740.9871.0000.000
등록상태구분명0.0000.0000.0001.000

Missing values

2023-12-12T19:06:43.423244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:06:43.757249image/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

시설구분명시설명시도교육청명시도교육청코드교육지원청명교육지원청코드시도코드시도명시군구코드시군구명소재지도로명주소소재지지번주소설립자명전화번호등록일자등록상태구분명학력인정여부학력인정연도데이터기준일자
0지식.인력개발사업관련국제문화사회교육원서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 남부순환로 1794 하버드텔708,709호 (봉천동)<NA>신혜정02-873-72412000-03-10개원X<NA>2022-12-01
1원격교육형태렉스미디어원격평생교육시설서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 호암로24길 23,8층 일부(신림동)<NA>신호창02-883-80352003-02-22개원X<NA>2022-12-01
2원격교육형태메가고시원격평생교육시설서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 신림로 127, 201호 일부 (신림동)<NA>㈜인해교육02-871-65772003-03-21개원X<NA>2022-12-01
3시민사회단체부설한국체력향상협회부설평생교육시설서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 남부순환로 1369 , 4층 3호(신림동)<NA>(사)한국체력향상협회02-886-49312003-09-06개원X<NA>2022-12-01
4원격교육형태로스쿨원격평생교육시설서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 신림로 77 합격빌딩 지1층 (신림동)<NA>(주)에듀패스02-870-81502005-01-07개원X<NA>2022-12-01
5언론기관부설CTS기독교TV부설평생교육시설서울특별시교육청7010000동작관악교육지원청713200011서울특별시11590동작구서울특별시 동작구 노량진로 100 CTS멀티미디어센터11층 (노량진동)<NA>(주)기독교텔레비전02-6333-11162005-01-24개원X<NA>2022-12-01
6원격교육형태윌비스원격평생교육원서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 신림로 129-1, 1층 일부, 2층, 3층 (신림동)<NA>(주)윌비스02-1544-50072005-07-13개원X<NA>2022-12-01
7원격교육형태숭실원격평생교육원서울특별시교육청7010000동작관악교육지원청713200011서울특별시11590동작구서울특별시 동작구 상도로61길 74, 지1층 (상도동)<NA>학교법인숭실대학교02-812-23112005-12-29개원X<NA>2022-12-01
8원격교육형태총신대학교부속원격평생교육원서울특별시교육청7010000동작관악교육지원청713200011서울특별시11590동작구서울특별시 동작구 사당로 143 , 총신대학교 제2종합관 1층 110호<NA>학교법인 대한예수교장로회총신대학교02-3479-06612002-09-23개원X<NA>2022-12-01
9원격교육형태잉글리쉬앤원격평생교육시설서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 쑥고개로 67-1 , 잉글리쉬빌딩 6층 (봉천동)<NA>잉글리쉬앤(주)02-878-19452007-08-03개원X<NA>2022-12-01
시설구분명시설명시도교육청명시도교육청코드교육지원청명교육지원청코드시도코드시도명시군구코드시군구명소재지도로명주소소재지지번주소설립자명전화번호등록일자등록상태구분명학력인정여부학력인정연도데이터기준일자
142원격교육형태어댑터즈(A댑터Z)원격평생교육원서울특별시교육청7010000동작관악교육지원청713200011서울특별시11620관악구서울특별시 관악구 조원로 97, 2층<NA>연성훈02-2038-08502022-03-29개원X<NA>2022-12-01
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