Overview

Dataset statistics

Number of variables10
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory81.0 B

Variable types

Text5
Categorical5

Dataset

Description키,분류1,분류2,분류3,명칭,도로명 주소,행정 시,행정 구,행정 동,홈페이지주소
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12991/S/1/datasetView.do

Alerts

행정 시 has constant value ""Constant
분류2 is highly overall correlated with 분류1High correlation
분류1 is highly overall correlated with 분류2High correlation
분류2 is highly imbalanced (50.2%)Imbalance
키 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:53:56.120352
Analysis finished2024-04-21 07:53:57.939298
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

키
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T16:53:58.657848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1572
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowBE_IW07-0256
2nd rowBE_IW07-0257
3rd rowBE_IW07-0259
4th rowBE_IW07-0260
5th rowBE_IW07-0261
ValueCountFrequency (%)
be_iw07-0256 1
 
0.8%
be_iw07-0232 1
 
0.8%
be_iw07-0134 1
 
0.8%
be_iw07-0133 1
 
0.8%
be_iw07-0132 1
 
0.8%
be_iw07-0131 1
 
0.8%
be_iw07-0130 1
 
0.8%
be_iw07-0129 1
 
0.8%
be_iw07-0128 1
 
0.8%
be_iw07-0127 1
 
0.8%
Other values (121) 121
92.4%
2024-04-21T16:53:59.935274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 319
20.3%
7 156
9.9%
B 131
8.3%
E 131
8.3%
_ 131
8.3%
I 131
8.3%
W 131
8.3%
- 131
8.3%
2 76
 
4.8%
1 68
 
4.3%
Other values (6) 167
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
50.0%
Uppercase Letter 524
33.3%
Connector Punctuation 131
 
8.3%
Dash Punctuation 131
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 319
40.6%
7 156
19.8%
2 76
 
9.7%
1 68
 
8.7%
3 44
 
5.6%
6 27
 
3.4%
8 27
 
3.4%
9 25
 
3.2%
5 24
 
3.1%
4 20
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 131
25.0%
E 131
25.0%
I 131
25.0%
W 131
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1048
66.7%
Latin 524
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 319
30.4%
7 156
14.9%
_ 131
12.5%
- 131
12.5%
2 76
 
7.3%
1 68
 
6.5%
3 44
 
4.2%
6 27
 
2.6%
8 27
 
2.6%
9 25
 
2.4%
Other values (2) 44
 
4.2%
Latin
ValueCountFrequency (%)
B 131
25.0%
E 131
25.0%
I 131
25.0%
W 131
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 319
20.3%
7 156
9.9%
B 131
8.3%
E 131
8.3%
_ 131
8.3%
I 131
8.3%
W 131
8.3%
- 131
8.3%
2 76
 
4.8%
1 68
 
4.3%
Other values (6) 167
10.6%

분류1
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타공공기관
96 
준정부기관
31 
공기업
 
4

Length

Max length6
Median length6
Mean length5.6717557
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타공공기관 96
73.3%
준정부기관 31
 
23.7%
공기업 4
 
3.1%

Length

2024-04-21T16:54:00.363780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:54:00.694386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타공공기관 96
73.3%
준정부기관 31
 
23.7%
공기업 4
 
3.1%

분류2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
96 
위탁진행형
26 
기금관리형
 
5
시장형공기업
 
2
준시장형공기업
 
2

Length

Max length7
Median length4
Mean length4.3129771
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
73.3%
위탁진행형 26
 
19.8%
기금관리형 5
 
3.8%
시장형공기업 2
 
1.5%
준시장형공기업 2
 
1.5%

Length

2024-04-21T16:54:01.056590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:54:01.396072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
73.3%
위탁진행형 26
 
19.8%
기금관리형 5
 
3.8%
시장형공기업 2
 
1.5%
준시장형공기업 2
 
1.5%

분류3
Categorical

Distinct30
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
문화체육관광부
24 
보건복지부
15 
미래창조과학부
15 
산업통상자원부
11 
국무조정실
7 
Other values (25)
59 

Length

Max length8
Median length7
Mean length5.4732824
Min length3

Unique

Unique8 ?
Unique (%)6.1%

Sample

1st row미래창조과학부
2nd row문화체육관광부
3rd row문화체육관광부
4th row문화체육관광부
5th row문화체육관광부

Common Values

ValueCountFrequency (%)
문화체육관광부 24
18.3%
보건복지부 15
11.5%
미래창조과학부 15
11.5%
산업통상자원부 11
 
8.4%
국무조정실 7
 
5.3%
교육부 6
 
4.6%
해양수산부 5
 
3.8%
국토교통부 5
 
3.8%
여성가족부 4
 
3.1%
고용노동부 3
 
2.3%
Other values (20) 36
27.5%

Length

2024-04-21T16:54:01.772465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화체육관광부 24
18.3%
미래창조과학부 15
11.5%
보건복지부 15
11.5%
산업통상자원부 11
 
8.4%
국무조정실 7
 
5.3%
교육부 6
 
4.6%
해양수산부 5
 
3.8%
국토교통부 5
 
3.8%
여성가족부 4
 
3.1%
환경부 3
 
2.3%
Other values (20) 36
27.5%

명칭
Text

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T16:54:02.617082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.0381679
Min length5

Characters and Unicode

Total characters1184
Distinct characters189
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)98.5%

Sample

1st row한국데이터베이스진흥원
2nd row한국도박문제관리센터
3rd row한국문학번역원
4th row한국문화관광연구원
5th row한국문화예술교육진흥원
ValueCountFrequency (%)
한국과학기술기획평가원 2
 
1.5%
한국과학기술연구원 2
 
1.5%
국민건강보험공단 2
 
1.5%
재)우체국시설관리단 1
 
0.7%
한국청소년활동진흥원 1
 
0.7%
한국해양과학기술진흥원 1
 
0.7%
한국환경산업기술원 1
 
0.7%
사)남북교류협력지원협회 1
 
0.7%
재)예술경영지원센터 1
 
0.7%
재)일제강제동원피해자지원재단 1
 
0.7%
Other values (124) 124
90.5%
2024-04-21T16:54:03.899843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 93
 
7.9%
한 82
 
6.9%
원 69
 
5.8%
재 39
 
3.3%
단 35
 
3.0%
기 25
 
2.1%
공 24
 
2.0%
사 22
 
1.9%
진 22
 
1.9%
) 21
 
1.8%
Other values (179) 752
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1134
95.8%
Close Punctuation 21
 
1.8%
Open Punctuation 21
 
1.8%
Space Separator 6
 
0.5%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 93
 
8.2%
한 82
 
7.2%
원 69
 
6.1%
재 39
 
3.4%
단 35
 
3.1%
기 25
 
2.2%
공 24
 
2.1%
사 22
 
1.9%
진 22
 
1.9%
흥 21
 
1.9%
Other values (174) 702
61.9%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1134
95.8%
Common 48
 
4.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 93
 
8.2%
한 82
 
7.2%
원 69
 
6.1%
재 39
 
3.4%
단 35
 
3.1%
기 25
 
2.2%
공 24
 
2.1%
사 22
 
1.9%
진 22
 
1.9%
흥 21
 
1.9%
Other values (174) 702
61.9%
Common
ValueCountFrequency (%)
) 21
43.8%
( 21
43.8%
6
 
12.5%
Latin
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1134
95.8%
ASCII 50
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 93
 
8.2%
한 82
 
7.2%
원 69
 
6.1%
재 39
 
3.4%
단 35
 
3.1%
기 25
 
2.2%
공 24
 
2.1%
사 22
 
1.9%
진 22
 
1.9%
흥 21
 
1.9%
Other values (174) 702
61.9%
ASCII
ValueCountFrequency (%)
) 21
42.0%
( 21
42.0%
6
 
12.0%
W 1
 
2.0%
S 1
 
2.0%

도로명 주소
Text

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T16:54:04.975774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length33
Mean length25.526718
Min length13

Characters and Unicode

Total characters3344
Distinct characters241
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

Unique127 ?
Unique (%)96.9%

Sample

1st row서울특별시 종로구 종로51 종로타워 19층
2nd row서울특별시 종로구 북촌로 18
3rd row서울특별시 강남구 영동대로 112길 32(삼성동)
4th row서울특별시 강서구 금낭화로 154
5th row서울시 마포구 성산로 128(성산동 275-3)
ValueCountFrequency (%)
서울특별시 73
 
10.7%
서울시 50
 
7.4%
서초구 22
 
3.2%
중구 20
 
2.9%
강남구 19
 
2.8%
종로구 13
 
1.9%
마포구 12
 
1.8%
테헤란로 10
 
1.5%
서울 8
 
1.2%
영등포구 8
 
1.2%
Other values (331) 445
65.4%
2024-04-21T16:54:06.528099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
571
 
17.1%
서 174
 
5.2%
로 147
 
4.4%
울 136
 
4.1%
구 134
 
4.0%
시 124
 
3.7%
1 114
 
3.4%
별 75
 
2.2%
특 73
 
2.2%
2 69
 
2.1%
Other values (231) 1727
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2061
61.6%
Space Separator 571
 
17.1%
Decimal Number 538
 
16.1%
Open Punctuation 58
 
1.7%
Close Punctuation 58
 
1.7%
Other Punctuation 32
 
1.0%
Uppercase Letter 12
 
0.4%
Dash Punctuation 9
 
0.3%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 174
 
8.4%
로 147
 
7.1%
울 136
 
6.6%
구 134
 
6.5%
시 124
 
6.0%
별 75
 
3.6%
특 73
 
3.5%
동 61
 
3.0%
층 51
 
2.5%
남 38
 
1.8%
Other values (206) 1048
50.8%
Decimal Number
ValueCountFrequency (%)
1 114
21.2%
2 69
12.8%
5 67
12.5%
4 61
11.3%
3 59
11.0%
0 49
9.1%
7 39
 
7.2%
8 32
 
5.9%
6 30
 
5.6%
9 18
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
M 4
33.3%
C 3
25.0%
D 2
16.7%
B 1
 
8.3%
S 1
 
8.3%
A 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 29
90.6%
. 1
 
3.1%
? 1
 
3.1%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
571
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2061
61.6%
Common 1271
38.0%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 174
 
8.4%
로 147
 
7.1%
울 136
 
6.6%
구 134
 
6.5%
시 124
 
6.0%
별 75
 
3.6%
특 73
 
3.5%
동 61
 
3.0%
층 51
 
2.5%
남 38
 
1.8%
Other values (206) 1048
50.8%
Common
ValueCountFrequency (%)
571
44.9%
1 114
 
9.0%
2 69
 
5.4%
5 67
 
5.3%
4 61
 
4.8%
3 59
 
4.6%
( 58
 
4.6%
) 58
 
4.6%
0 49
 
3.9%
7 39
 
3.1%
Other values (9) 126
 
9.9%
Latin
ValueCountFrequency (%)
M 4
33.3%
C 3
25.0%
D 2
16.7%
B 1
 
8.3%
S 1
 
8.3%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2061
61.6%
ASCII 1283
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
571
44.5%
1 114
 
8.9%
2 69
 
5.4%
5 67
 
5.2%
4 61
 
4.8%
3 59
 
4.6%
( 58
 
4.5%
) 58
 
4.5%
0 49
 
3.8%
7 39
 
3.0%
Other values (15) 138
 
10.8%
Hangul
ValueCountFrequency (%)
서 174
 
8.4%
로 147
 
7.1%
울 136
 
6.6%
구 134
 
6.5%
시 124
 
6.0%
별 75
 
3.6%
특 73
 
3.5%
동 61
 
3.0%
층 51
 
2.5%
남 38
 
1.8%
Other values (206) 1048
50.8%

행정 시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
서울특별시
131 

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 131
100.0%

Length

2024-04-21T16:54:06.934211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:54:07.235206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 131
100.0%

행정 구
Categorical

Distinct20
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
서초구
22 
중구
20 
강남구
19 
종로구
13 
마포구
12 
Other values (15)
45 

Length

Max length4
Median length3
Mean length2.9389313
Min length2

Unique

Unique5 ?
Unique (%)3.8%

Sample

1st row종로구
2nd row종로구
3rd row강남구
4th row강서구
5th row마포구

Common Values

ValueCountFrequency (%)
서초구 22
16.8%
중구 20
15.3%
강남구 19
14.5%
종로구 13
9.9%
마포구 12
9.2%
영등포구 8
 
6.1%
송파구 8
 
6.1%
용산구 5
 
3.8%
금천구 4
 
3.1%
강서구 3
 
2.3%
Other values (10) 17
13.0%

Length

2024-04-21T16:54:07.587701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서초구 22
16.8%
중구 20
15.3%
강남구 19
14.5%
종로구 13
9.9%
마포구 12
9.2%
영등포구 8
 
6.1%
송파구 8
 
6.1%
용산구 5
 
3.8%
금천구 4
 
3.1%
은평구 3
 
2.3%
Other values (10) 17
13.0%

행정 동
Text

Distinct58
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T16:54:08.430204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length3.7175573
Min length2

Characters and Unicode

Total characters487
Distinct characters81
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)23.7%

Sample

1st row종로1.2.3.4가동
2nd row가회동
3rd row삼성1동
4th row방화3동
5th row성산1동
ValueCountFrequency (%)
역삼1동 10
 
7.6%
명동 7
 
5.3%
오륜동 6
 
4.6%
상암동 5
 
3.8%
양재2동 5
 
3.8%
여의동 5
 
3.8%
종로1.2.3.4가동 5
 
3.8%
서초3동 5
 
3.8%
필동 4
 
3.1%
서초2동 4
 
3.1%
Other values (48) 75
57.3%
2024-04-21T16:54:09.377082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 131
26.9%
1 27
 
5.5%
2 23
 
4.7%
삼 16
 
3.3%
. 15
 
3.1%
3 14
 
2.9%
가 11
 
2.3%
역 10
 
2.1%
초 10
 
2.1%
서 10
 
2.1%
Other values (71) 220
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
81.3%
Decimal Number 76
 
15.6%
Other Punctuation 15
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 131
33.1%
삼 16
 
4.0%
가 11
 
2.8%
역 10
 
2.5%
초 10
 
2.5%
서 10
 
2.5%
현 10
 
2.5%
양 9
 
2.3%
로 8
 
2.0%
명 7
 
1.8%
Other values (64) 174
43.9%
Decimal Number
ValueCountFrequency (%)
1 27
35.5%
2 23
30.3%
3 14
18.4%
4 10
 
13.2%
5 1
 
1.3%
7 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
81.3%
Common 91
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 131
33.1%
삼 16
 
4.0%
가 11
 
2.8%
역 10
 
2.5%
초 10
 
2.5%
서 10
 
2.5%
현 10
 
2.5%
양 9
 
2.3%
로 8
 
2.0%
명 7
 
1.8%
Other values (64) 174
43.9%
Common
ValueCountFrequency (%)
1 27
29.7%
2 23
25.3%
. 15
16.5%
3 14
15.4%
4 10
 
11.0%
5 1
 
1.1%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
81.3%
ASCII 91
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 131
33.1%
삼 16
 
4.0%
가 11
 
2.8%
역 10
 
2.5%
초 10
 
2.5%
서 10
 
2.5%
현 10
 
2.5%
양 9
 
2.3%
로 8
 
2.0%
명 7
 
1.8%
Other values (64) 174
43.9%
ASCII
ValueCountFrequency (%)
1 27
29.7%
2 23
25.3%
. 15
16.5%
3 14
15.4%
4 10
 
11.0%
5 1
 
1.1%
7 1
 
1.1%

홈페이지주소
Text

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T16:54:10.175694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length14.816794
Min length11

Characters and Unicode

Total characters1941
Distinct characters31
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)98.5%

Sample

1st rowwww.kodb.or.kr
2nd rowwww.kcgp.or.kr
3rd rowwww.klti.or.kr
4th rowwww.kcti.re.kr
5th rowwww.arte.or.kr
ValueCountFrequency (%)
www.kistep.re.kr 2
 
1.5%
www.korcm.co.kr 1
 
0.8%
www.kiaps.org 1
 
0.8%
www.kawf.kr 1
 
0.8%
www.smartgrid.or.kr 1
 
0.8%
www.nest.or.kr 1
 
0.8%
www.kosbi.re.kr 1
 
0.8%
www.jeongdong.or.kr 1
 
0.8%
www.ilje.or.kr 1
 
0.8%
www.poma.or.kr 1
 
0.8%
Other values (120) 120
91.6%
2024-04-21T16:54:11.219012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 402
20.7%
. 373
19.2%
r 260
13.4%
k 212
10.9%
o 158
 
8.1%
i 67
 
3.5%
a 64
 
3.3%
e 64
 
3.3%
s 52
 
2.7%
c 48
 
2.5%
Other values (21) 241
12.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1560
80.4%
Other Punctuation 373
 
19.2%
Other Letter 5
 
0.3%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 402
25.8%
r 260
16.7%
k 212
13.6%
o 158
 
10.1%
i 67
 
4.3%
a 64
 
4.1%
e 64
 
4.1%
s 52
 
3.3%
c 48
 
3.1%
p 32
 
2.1%
Other values (14) 201
12.9%
Other Letter
ValueCountFrequency (%)
서 1
20.0%
울 1
20.0%
요 1
20.0%
양 1
20.0%
원 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1560
80.4%
Common 376
 
19.4%
Hangul 5
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 402
25.8%
r 260
16.7%
k 212
13.6%
o 158
 
10.1%
i 67
 
4.3%
a 64
 
4.1%
e 64
 
4.1%
s 52
 
3.3%
c 48
 
3.1%
p 32
 
2.1%
Other values (14) 201
12.9%
Hangul
ValueCountFrequency (%)
서 1
20.0%
울 1
20.0%
요 1
20.0%
양 1
20.0%
원 1
20.0%
Common
ValueCountFrequency (%)
. 373
99.2%
- 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1936
99.7%
Hangul 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 402
20.8%
. 373
19.3%
r 260
13.4%
k 212
11.0%
o 158
 
8.2%
i 67
 
3.5%
a 64
 
3.3%
e 64
 
3.3%
s 52
 
2.7%
c 48
 
2.5%
Other values (16) 236
12.2%
Hangul
ValueCountFrequency (%)
서 1
20.0%
울 1
20.0%
요 1
20.0%
양 1
20.0%
원 1
20.0%

Correlations

2024-04-21T16:54:11.381979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류1분류2분류3행정 구행정 동
분류11.0001.0000.5980.0000.119
분류21.0001.0000.7990.0000.000
분류30.5980.7991.0000.6940.832
행정 구0.0000.0000.6941.0001.000
행정 동0.1190.0000.8321.0001.000
2024-04-21T16:54:11.546511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정 구분류2분류1분류3
행정 구1.0000.0000.0000.225
분류20.0001.0000.9690.438
분류10.0000.9691.0000.304
분류30.2250.4380.3041.000
2024-04-21T16:54:11.700880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류1분류2분류3행정 구
분류11.0000.9690.3040.000
분류20.9691.0000.4380.000
분류30.3040.4381.0000.225
행정 구0.0000.0000.2251.000

Missing values

2024-04-21T16:53:57.298683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:53:57.762020image/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

키분류1분류2분류3명칭도로명 주소행정 시행정 구행정 동홈페이지주소
0BE_IW07-0256기타공공기관<NA>미래창조과학부한국데이터베이스진흥원서울특별시 종로구 종로51 종로타워 19층서울특별시종로구종로1.2.3.4가동www.kodb.or.kr
1BE_IW07-0257기타공공기관<NA>문화체육관광부한국도박문제관리센터서울특별시 종로구 북촌로 18서울특별시종로구가회동www.kcgp.or.kr
2BE_IW07-0259기타공공기관<NA>문화체육관광부한국문학번역원서울특별시 강남구 영동대로 112길 32(삼성동)서울특별시강남구삼성1동www.klti.or.kr
3BE_IW07-0260기타공공기관<NA>문화체육관광부한국문화관광연구원서울특별시 강서구 금낭화로 154서울특별시강서구방화3동www.kcti.re.kr
4BE_IW07-0261기타공공기관<NA>문화체육관광부한국문화예술교육진흥원서울시 마포구 성산로 128(성산동 275-3)서울특별시마포구성산1동www.arte.or.kr
5BE_IW07-0262기타공공기관<NA>문화체육관광부한국문화예술회관연합회서울특별시 서초구 남부순환로 2406 예술의전당 오페라하우스 4층서울특별시서초구서초3동www.kocaca.or.kr
6BE_IW07-0263기타공공기관<NA>문화재청한국문화재재단서울시 강남구 봉은사로 406(삼성동)서울특별시강남구삼성2동www.chf.or.kr
7BE_IW07-0264기타공공기관<NA>문화체육관광부한국문화정보원서울시 마포구 월드컵북로 400, 6층/8층서울특별시마포구상암동www.kcisa.kr
8BE_IW07-0266기타공공기관<NA>특허청한국발명진흥회서울특별시 강남구 테헤란로 131서울특별시강남구역삼1동www.kipa.org
9BE_IW07-0268기타공공기관<NA>법무부한국법무보호복지공단서울특별시 양천구 목동남로 93서울특별시양천구신정7동www.koreha.or.kr
키분류1분류2분류3명칭도로명 주소행정 시행정 구행정 동홈페이지주소
121BE_IW07-0057준정부기관위탁진행형보건복지부국민건강보험공단 서울요양원서울특별시 강남구 헌릉로 590길 50(세곡동 520번지)서울특별시강남구세곡동www.서울요양원.kr
122BE_IW07-0058준정부기관위탁진행형문화체육관광부국제방송교류재단서울시 서초구 남부순환로 2351 아리랑타워서울특별시서초구서초3동www.arirang.co.kr
123BE_IW07-0063준정부기관위탁진행형산업통상자원부대한무역투자진흥공사서울시 서초구 헌릉로 13서울특별시서초구내곡동www.kotra.or.kr
124BE_IW07-0064준정부기관위탁진행형경찰청도로교통공단서울특별시 중구 왕십리로 407서울특별시중구신당5동www.koroad.or.kr
125BE_IW07-0066준정부기관위탁진행형보건복지부사회보장정보원서울특별시 중구 퇴계로 173(충무로3가) 남산스퀘어빌딩(구.극동빌딩)서울특별시중구필동www.ssis.or.kr
126BE_IW07-0070준정부기관위탁진행형미래창조과학부정보통신산업진흥원 SW공학센터서울특별시 마포구 월드컵북로 396(상암동)서울특별시마포구상암동www.sw-eng.kr
127BE_IW07-0078준정부기관위탁진행형미래창조과학부한국과학창의재단서울 강남구 선릉로 602(삼성동, 삼릉빌딩)서울특별시강남구삼성2동www.kofac.re.kr
128BE_IW07-0079준정부기관위탁진행형산업통상자원부한국광해관리공단서울특별시 종로구 종로5길 58(수송동) 석탄회관빌딩서울특별시종로구종로1.2.3.4가동www.mireco.or.kr
129BE_IW07-0082준정부기관위탁진행형기상청한국기상산업진흥원서울특별시 종로구 송월길 52서울특별시종로구교남동www.kmipa.or.kr
130BE_IW07-0083준정부기관위탁진행형보건복지부한국노인인력개발원서울시 서초구 서초대로 67(방배동) 성령빌딩 3층서울특별시서초구방배4동www.kordi.go.kr