Overview

Dataset statistics

Number of variables6
Number of observations134
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory49.0 B

Variable types

Categorical1
Text3
DateTime2

Dataset

Description강동송파교육지원청 관내(강동구, 송파구) 평생교육시설 목록 정보로 시설구분명, 시설명, 소재지도로명주소, 전화번호, 시설등록일자를 제공합니다.
Author서울특별시교육청 서울특별시강동송파교육지원청
URLhttps://www.data.go.kr/data/15053495/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:51:49.173131
Analysis finished2023-12-12 16:51:49.700058
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
언론기관부설
50 
원격대학형태
49 
지식인력개발형태
19 
사업장부설
11 
시민사회단체부설
 
5

Length

Max length8
Median length6
Mean length6.2761194
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row언론기관부설
2nd row언론기관부설
3rd row사업장부설
4th row언론기관부설
5th row원격대학형태

Common Values

ValueCountFrequency (%)
언론기관부설 50
37.3%
원격대학형태 49
36.6%
지식인력개발형태 19
 
14.2%
사업장부설 11
 
8.2%
시민사회단체부설 5
 
3.7%

Length

2023-12-13T01:51:49.783952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:49.924163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
언론기관부설 50
37.3%
원격대학형태 49
36.6%
지식인력개발형태 19
 
14.2%
사업장부설 11
 
8.2%
시민사회단체부설 5
 
3.7%

시설명
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:51:50.156265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length13.246269
Min length3

Characters and Unicode

Total characters1775
Distinct characters275
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)100.0%

Sample

1st row보니따필라테스암사역점평생교육원
2nd row루카필라테스평생교육원
3rd row이마트컬처클럽명일점평생교육시설
4th row리본필라테스 고덕상일점 평생교육원
5th row한국행정원격평생교육시설
ValueCountFrequency (%)
평생교육원 15
 
8.6%
원격평생교육원 5
 
2.9%
보니따필라테스 3
 
1.7%
샌디에고 2
 
1.1%
필라테스 2
 
1.1%
룩스필라테스 2
 
1.1%
보니따필라테스암사역점평생교육원 1
 
0.6%
나누코리아 1
 
0.6%
거여역점 1
 
0.6%
타마스쿨원격평생교육원(구 1
 
0.6%
Other values (141) 141
81.0%
2023-12-13T01:51:50.598250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 139
 
7.8%
교 124
 
7.0%
육 121
 
6.8%
평 115
 
6.5%
생 115
 
6.5%
스 54
 
3.0%
42
 
2.4%
라 34
 
1.9%
격 32
 
1.8%
필 31
 
1.7%
Other values (265) 968
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1570
88.5%
Lowercase Letter 71
 
4.0%
Space Separator 42
 
2.4%
Uppercase Letter 33
 
1.9%
Other Punctuation 21
 
1.2%
Open Punctuation 18
 
1.0%
Close Punctuation 18
 
1.0%
Math Symbol 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 139
 
8.9%
교 124
 
7.9%
육 121
 
7.7%
평 115
 
7.3%
생 115
 
7.3%
스 54
 
3.4%
라 34
 
2.2%
격 32
 
2.0%
필 31
 
2.0%
테 31
 
2.0%
Other values (224) 774
49.3%
Lowercase Letter
ValueCountFrequency (%)
w 12
16.9%
t 6
8.5%
c 6
8.5%
o 6
8.5%
h 5
 
7.0%
e 5
 
7.0%
r 5
 
7.0%
n 4
 
5.6%
k 4
 
5.6%
p 4
 
5.6%
Other values (8) 14
19.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
18.2%
M 5
15.2%
A 3
9.1%
K 3
9.1%
E 3
9.1%
B 2
 
6.1%
H 2
 
6.1%
D 2
 
6.1%
I 2
 
6.1%
R 1
 
3.0%
Other values (4) 4
12.1%
Other Punctuation
ValueCountFrequency (%)
. 13
61.9%
/ 4
 
19.0%
& 2
 
9.5%
: 2
 
9.5%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1570
88.5%
Latin 104
 
5.9%
Common 101
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 139
 
8.9%
교 124
 
7.9%
육 121
 
7.7%
평 115
 
7.3%
생 115
 
7.3%
스 54
 
3.4%
라 34
 
2.2%
격 32
 
2.0%
필 31
 
2.0%
테 31
 
2.0%
Other values (224) 774
49.3%
Latin
ValueCountFrequency (%)
w 12
 
11.5%
t 6
 
5.8%
c 6
 
5.8%
C 6
 
5.8%
o 6
 
5.8%
h 5
 
4.8%
e 5
 
4.8%
r 5
 
4.8%
M 5
 
4.8%
n 4
 
3.8%
Other values (22) 44
42.3%
Common
ValueCountFrequency (%)
42
41.6%
( 18
17.8%
) 18
17.8%
. 13
 
12.9%
/ 4
 
4.0%
& 2
 
2.0%
: 2
 
2.0%
+ 1
 
1.0%
5 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1570
88.5%
ASCII 205
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 139
 
8.9%
교 124
 
7.9%
육 121
 
7.7%
평 115
 
7.3%
생 115
 
7.3%
스 54
 
3.4%
라 34
 
2.2%
격 32
 
2.0%
필 31
 
2.0%
테 31
 
2.0%
Other values (224) 774
49.3%
ASCII
ValueCountFrequency (%)
42
20.5%
( 18
 
8.8%
) 18
 
8.8%
. 13
 
6.3%
w 12
 
5.9%
t 6
 
2.9%
c 6
 
2.9%
C 6
 
2.9%
o 6
 
2.9%
h 5
 
2.4%
Other values (31) 73
35.6%

소재지도로명주소
Text

Distinct131
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:51:50.853359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length48
Mean length36.477612
Min length21

Characters and Unicode

Total characters4888
Distinct characters209
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)95.5%

Sample

1st row서울특별시 강동구 올림픽로 780, 301호(암사동,예지빌딩)
2nd row서울특별시 강동구 천호대로163길 21, 2층(천호동)
3rd row서울특별시 강동구 고덕로 276 , 5층일부 (명일동)
4th row서울특별시 강동구 고덕로 399(고덕동, 고덕센트럴푸르지오)
5th row서울특별시 강동구 고덕로 47 , 301호 일부 (암사동, 정산아파트)
ValueCountFrequency (%)
서울특별시 134
 
13.3%
100
 
9.9%
송파구 99
 
9.8%
강동구 35
 
3.5%
일부 28
 
2.8%
3층 21
 
2.1%
문정동 18
 
1.8%
2층 16
 
1.6%
잠실동 13
 
1.3%
4층 13
 
1.3%
Other values (354) 531
52.7%
2023-12-13T01:51:51.231689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
875
 
17.9%
, 213
 
4.4%
동 178
 
3.6%
1 161
 
3.3%
서 136
 
2.8%
울 136
 
2.8%
로 136
 
2.8%
특 135
 
2.8%
별 135
 
2.8%
시 135
 
2.8%
Other values (199) 2648
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2695
55.1%
Space Separator 875
 
17.9%
Decimal Number 776
 
15.9%
Other Punctuation 213
 
4.4%
Open Punctuation 131
 
2.7%
Close Punctuation 131
 
2.7%
Uppercase Letter 37
 
0.8%
Dash Punctuation 19
 
0.4%
Math Symbol 7
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 178
 
6.6%
서 136
 
5.0%
울 136
 
5.0%
로 136
 
5.0%
특 135
 
5.0%
별 135
 
5.0%
시 135
 
5.0%
구 135
 
5.0%
파 126
 
4.7%
송 123
 
4.6%
Other values (164) 1320
49.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
18.9%
C 6
16.2%
T 4
10.8%
Y 4
10.8%
S 3
8.1%
M 2
 
5.4%
I 2
 
5.4%
U 2
 
5.4%
E 1
 
2.7%
P 1
 
2.7%
Other values (5) 5
13.5%
Decimal Number
ValueCountFrequency (%)
1 161
20.7%
3 106
13.7%
2 102
13.1%
4 88
11.3%
0 86
11.1%
7 61
 
7.9%
5 61
 
7.9%
6 47
 
6.1%
9 35
 
4.5%
8 29
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
875
100.0%
Other Punctuation
ValueCountFrequency (%)
, 213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2695
55.1%
Common 2152
44.0%
Latin 41
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 178
 
6.6%
서 136
 
5.0%
울 136
 
5.0%
로 136
 
5.0%
특 135
 
5.0%
별 135
 
5.0%
시 135
 
5.0%
구 135
 
5.0%
파 126
 
4.7%
송 123
 
4.6%
Other values (164) 1320
49.0%
Latin
ValueCountFrequency (%)
A 7
17.1%
C 6
14.6%
T 4
9.8%
Y 4
9.8%
S 3
 
7.3%
M 2
 
4.9%
I 2
 
4.9%
U 2
 
4.9%
E 1
 
2.4%
P 1
 
2.4%
Other values (9) 9
22.0%
Common
ValueCountFrequency (%)
875
40.7%
, 213
 
9.9%
1 161
 
7.5%
( 131
 
6.1%
) 131
 
6.1%
3 106
 
4.9%
2 102
 
4.7%
4 88
 
4.1%
0 86
 
4.0%
7 61
 
2.8%
Other values (6) 198
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2695
55.1%
ASCII 2193
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
875
39.9%
, 213
 
9.7%
1 161
 
7.3%
( 131
 
6.0%
) 131
 
6.0%
3 106
 
4.8%
2 102
 
4.7%
4 88
 
4.0%
0 86
 
3.9%
7 61
 
2.8%
Other values (25) 239
 
10.9%
Hangul
ValueCountFrequency (%)
동 178
 
6.6%
서 136
 
5.0%
울 136
 
5.0%
로 136
 
5.0%
특 135
 
5.0%
별 135
 
5.0%
시 135
 
5.0%
구 135
 
5.0%
파 126
 
4.7%
송 123
 
4.6%
Other values (164) 1320
49.0%

전화번호
Text

Distinct118
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T01:51:51.457603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.746269
Min length9

Characters and Unicode

Total characters1574
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

Unique113 ?
Unique (%)84.3%

Sample

1st row0507-1337-6019
2nd row02-470-5521
3rd row02-2145-1250
4th row02-427-8777
5th row02-2291-8865
ValueCountFrequency (%)
02-0000-0000 13
 
9.7%
02-993-8677 2
 
1.5%
02-2201-2809 2
 
1.5%
02-2057-4679 2
 
1.5%
02-3433-1298 2
 
1.5%
02-423-5505 1
 
0.7%
02-2203-2220 1
 
0.7%
02-404-4142 1
 
0.7%
070-4610-2106 1
 
0.7%
02-575-6143 1
 
0.7%
Other values (108) 108
80.6%
2023-12-13T01:51:51.793643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 372
23.6%
- 264
16.8%
2 201
12.8%
1 115
 
7.3%
4 114
 
7.2%
5 105
 
6.7%
7 102
 
6.5%
3 99
 
6.3%
8 72
 
4.6%
6 66
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1310
83.2%
Dash Punctuation 264
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 372
28.4%
2 201
15.3%
1 115
 
8.8%
4 114
 
8.7%
5 105
 
8.0%
7 102
 
7.8%
3 99
 
7.6%
8 72
 
5.5%
6 66
 
5.0%
9 64
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 372
23.6%
- 264
16.8%
2 201
12.8%
1 115
 
7.3%
4 114
 
7.2%
5 105
 
6.7%
7 102
 
6.5%
3 99
 
6.3%
8 72
 
4.6%
6 66
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 372
23.6%
- 264
16.8%
2 201
12.8%
1 115
 
7.3%
4 114
 
7.2%
5 105
 
6.7%
7 102
 
6.5%
3 99
 
6.3%
8 72
 
4.6%
6 66
 
4.2%

등록일자
Date

Distinct127
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1995-12-23 00:00:00
Maximum2022-11-24 00:00:00
2023-12-13T01:51:51.948118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:52.095876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-11-29 00:00:00
Maximum2022-11-29 00:00:00
2023-12-13T01:51:52.205695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:52.294456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T01:51:49.515603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:51:49.645844image/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

시설구분명시설명소재지도로명주소전화번호등록일자데이터기준일자
0언론기관부설보니따필라테스암사역점평생교육원서울특별시 강동구 올림픽로 780, 301호(암사동,예지빌딩)0507-1337-60192022-09-152022-11-29
1언론기관부설루카필라테스평생교육원서울특별시 강동구 천호대로163길 21, 2층(천호동)02-470-55212022-04-122022-11-29
2사업장부설이마트컬처클럽명일점평생교육시설서울특별시 강동구 고덕로 276 , 5층일부 (명일동)02-2145-12502009-07-242022-11-29
3언론기관부설리본필라테스 고덕상일점 평생교육원서울특별시 강동구 고덕로 399(고덕동, 고덕센트럴푸르지오)02-427-87772020-11-042022-11-29
4원격대학형태한국행정원격평생교육시설서울특별시 강동구 고덕로 47 , 301호 일부 (암사동, 정산아파트)02-2291-88652018-07-242022-11-29
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