Overview

Dataset statistics

Number of variables12
Number of observations240
Missing cells720
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.3 KiB
Average record size in memory99.5 B

Variable types

Text4
Categorical5
Unsupported3

Dataset

Description메인 키,분류1,분류2,분류3,분류4,검색어,명칭,지번 주소,도로명 주소,행정 시,행정 구,행정 동
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12993/S/1/datasetView.do

Alerts

분류1 has constant value ""Constant
행정 시 has constant value ""Constant
분류3 is highly overall correlated with 분류2High correlation
분류2 is highly overall correlated with 분류3High correlation
분류2 is highly imbalanced (61.0%)Imbalance
분류4 has 240 (100.0%) missing valuesMissing
지번 주소 has 240 (100.0%) missing valuesMissing
도로명 주소 has 240 (100.0%) missing valuesMissing
메인 키 has unique valuesUnique
분류4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지번 주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명 주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:13:06.607294
Analysis finished2023-12-11 06:13:07.444144
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

메인 키
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T15:13:07.605794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters3360
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)100.0%

Sample

1st rowBE_LiST36-0085
2nd rowBE_LiST36-0086
3rd rowBE_LiST36-0087
4th rowBE_LiST36-0088
5th rowBE_LiST36-0089
ValueCountFrequency (%)
be_list36-0085 1
 
0.4%
be_list36-0086 1
 
0.4%
be_list36-0048 1
 
0.4%
be_list36-0036 1
 
0.4%
be_list36-0037 1
 
0.4%
be_list36-0038 1
 
0.4%
be_list36-0039 1
 
0.4%
be_list36-0040 1
 
0.4%
be_list36-0041 1
 
0.4%
be_list36-0042 1
 
0.4%
Other values (230) 230
95.8%
2023-12-11T15:13:07.931024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 392
11.7%
3 294
8.8%
6 284
 
8.5%
B 240
 
7.1%
T 240
 
7.1%
E 240
 
7.1%
- 240
 
7.1%
S 240
 
7.1%
i 240
 
7.1%
L 240
 
7.1%
Other values (8) 710
21.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1440
42.9%
Uppercase Letter 1200
35.7%
Dash Punctuation 240
 
7.1%
Lowercase Letter 240
 
7.1%
Connector Punctuation 240
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 392
27.2%
3 294
20.4%
6 284
19.7%
1 154
 
10.7%
2 95
 
6.6%
4 45
 
3.1%
8 44
 
3.1%
5 44
 
3.1%
9 44
 
3.1%
7 44
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 240
20.0%
T 240
20.0%
E 240
20.0%
S 240
20.0%
L 240
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 240
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1920
57.1%
Latin 1440
42.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 392
20.4%
3 294
15.3%
6 284
14.8%
- 240
12.5%
_ 240
12.5%
1 154
 
8.0%
2 95
 
4.9%
4 45
 
2.3%
8 44
 
2.3%
5 44
 
2.3%
Other values (2) 88
 
4.6%
Latin
ValueCountFrequency (%)
B 240
16.7%
T 240
16.7%
E 240
16.7%
S 240
16.7%
i 240
16.7%
L 240
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 392
11.7%
3 294
8.8%
6 284
 
8.5%
B 240
 
7.1%
T 240
 
7.1%
E 240
 
7.1%
- 240
 
7.1%
S 240
 
7.1%
i 240
 
7.1%
L 240
 
7.1%
Other values (8) 710
21.1%

분류1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
교육/예술/종교
240 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육/예술/종교
2nd row교육/예술/종교
3rd row교육/예술/종교
4th row교육/예술/종교
5th row교육/예술/종교

Common Values

ValueCountFrequency (%)
교육/예술/종교 240
100.0%

Length

2023-12-11T15:13:08.054125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:13:08.131586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육/예술/종교 240
100.0%

분류2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
문화시설
213 
공연전시
 
15
방송-언론
 
12

Length

Max length5
Median length4
Mean length4.05
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화시설 213
88.8%
공연전시 15
 
6.2%
방송-언론 12
 
5.0%

Length

2023-12-11T15:13:08.224047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:13:08.335091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 213
88.8%
공연전시 15
 
6.2%
방송-언론 12
 
5.0%

분류3
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
미술관
108 
박물관
42 
문화센터
36 
기타 문화시설
26 
소극장
12 
Other values (4)
16 

Length

Max length7
Median length3
Mean length3.6458333
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
미술관 108
45.0%
박물관 42
 
17.5%
문화센터 36
 
15.0%
기타 문화시설 26
 
10.8%
소극장 12
 
5.0%
방송국 8
 
3.3%
라디오방송국 4
 
1.7%
문화회관 3
 
1.2%
음악관 1
 
0.4%

Length

2023-12-11T15:13:08.438962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:13:08.541578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미술관 108
40.6%
박물관 42
 
15.8%
문화센터 36
 
13.5%
기타 26
 
9.8%
문화시설 26
 
9.8%
소극장 12
 
4.5%
방송국 8
 
3.0%
라디오방송국 4
 
1.5%
문화회관 3
 
1.1%
음악관 1
 
0.4%

분류4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing240
Missing (%)100.0%
Memory size2.2 KiB

검색어
Text

Distinct236
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T15:13:08.780881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.3291667
Min length2

Characters and Unicode

Total characters1519
Distinct characters296
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

Unique232 ?
Unique (%)96.7%

Sample

1st row인사아트센터
2nd row일랑미술관
3rd row일오삼갤러리
4th row자하미술관
5th row장은선갤러리
ValueCountFrequency (%)
갤러리수 2
 
0.8%
풀잎문화센터 2
 
0.8%
갤러리현대 2
 
0.8%
극동방송 2
 
0.8%
대안공간풀 1
 
0.4%
섭갤러리 1
 
0.4%
선갤러리 1
 
0.4%
뤼미에르/갤러리 1
 
0.4%
몽환 1
 
0.4%
모인화랑 1
 
0.4%
Other values (226) 226
94.2%
2023-12-11T15:13:09.169481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 79
 
5.2%
/ 65
 
4.3%
리 53
 
3.5%
화 52
 
3.4%
러 46
 
3.0%
갤 45
 
3.0%
박 35
 
2.3%
물 35
 
2.3%
아 34
 
2.2%
문 32
 
2.1%
Other values (286) 1043
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1404
92.4%
Other Punctuation 66
 
4.3%
Uppercase Letter 41
 
2.7%
Lowercase Letter 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 79
 
5.6%
리 53
 
3.8%
화 52
 
3.7%
러 46
 
3.3%
갤 45
 
3.2%
박 35
 
2.5%
물 35
 
2.5%
아 34
 
2.4%
문 32
 
2.3%
미 29
 
2.1%
Other values (260) 964
68.7%
Uppercase Letter
ValueCountFrequency (%)
S 7
17.1%
B 6
14.6%
K 4
9.8%
T 3
7.3%
U 3
7.3%
C 3
7.3%
M 3
7.3%
N 2
 
4.9%
L 2
 
4.9%
A 2
 
4.9%
Other values (6) 6
14.6%
Lowercase Letter
ValueCountFrequency (%)
l 1
12.5%
u 1
12.5%
b 1
12.5%
n 1
12.5%
s 1
12.5%
w 1
12.5%
e 1
12.5%
r 1
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 65
98.5%
& 1
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1404
92.4%
Common 66
 
4.3%
Latin 49
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 79
 
5.6%
리 53
 
3.8%
화 52
 
3.7%
러 46
 
3.3%
갤 45
 
3.2%
박 35
 
2.5%
물 35
 
2.5%
아 34
 
2.4%
문 32
 
2.3%
미 29
 
2.1%
Other values (260) 964
68.7%
Latin
ValueCountFrequency (%)
S 7
14.3%
B 6
12.2%
K 4
 
8.2%
T 3
 
6.1%
U 3
 
6.1%
C 3
 
6.1%
M 3
 
6.1%
N 2
 
4.1%
L 2
 
4.1%
A 2
 
4.1%
Other values (14) 14
28.6%
Common
ValueCountFrequency (%)
/ 65
98.5%
& 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1404
92.4%
ASCII 115
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 79
 
5.6%
리 53
 
3.8%
화 52
 
3.7%
러 46
 
3.3%
갤 45
 
3.2%
박 35
 
2.5%
물 35
 
2.5%
아 34
 
2.4%
문 32
 
2.3%
미 29
 
2.1%
Other values (260) 964
68.7%
ASCII
ValueCountFrequency (%)
/ 65
56.5%
S 7
 
6.1%
B 6
 
5.2%
K 4
 
3.5%
T 3
 
2.6%
U 3
 
2.6%
C 3
 
2.6%
M 3
 
2.6%
N 2
 
1.7%
L 2
 
1.7%
Other values (16) 17
 
14.8%

명칭
Text

Distinct236
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T15:13:09.392182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length6.0416667
Min length2

Characters and Unicode

Total characters1450
Distinct characters289
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)96.7%

Sample

1st row인사아트센터
2nd row일랑미술관
3rd row일오삼갤러리
4th row자하미술관
5th row장은선갤러리
ValueCountFrequency (%)
갤러리수 2
 
0.8%
풀잎문화센터 2
 
0.8%
갤러리현대 2
 
0.8%
극동방송 2
 
0.8%
대안공간풀 1
 
0.4%
섭갤러리 1
 
0.4%
선갤러리 1
 
0.4%
뤼미에르갤러리 1
 
0.4%
몽환 1
 
0.4%
모인화랑 1
 
0.4%
Other values (226) 226
94.2%
2023-12-11T15:13:09.746561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 79
 
5.4%
리 53
 
3.7%
화 52
 
3.6%
러 46
 
3.2%
갤 45
 
3.1%
물 35
 
2.4%
박 35
 
2.4%
아 34
 
2.3%
문 32
 
2.2%
미 29
 
2.0%
Other values (279) 1010
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1413
97.4%
Uppercase Letter 36
 
2.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 79
 
5.6%
리 53
 
3.8%
화 52
 
3.7%
러 46
 
3.3%
갤 45
 
3.2%
물 35
 
2.5%
박 35
 
2.5%
아 34
 
2.4%
문 32
 
2.3%
미 29
 
2.1%
Other values (262) 973
68.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
13.9%
S 5
13.9%
K 4
11.1%
T 3
8.3%
M 3
8.3%
U 3
8.3%
C 2
 
5.6%
L 2
 
5.6%
N 2
 
5.6%
J 1
 
2.8%
Other values (6) 6
16.7%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1413
97.4%
Latin 36
 
2.5%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 79
 
5.6%
리 53
 
3.8%
화 52
 
3.7%
러 46
 
3.3%
갤 45
 
3.2%
물 35
 
2.5%
박 35
 
2.5%
아 34
 
2.4%
문 32
 
2.3%
미 29
 
2.1%
Other values (262) 973
68.9%
Latin
ValueCountFrequency (%)
B 5
13.9%
S 5
13.9%
K 4
11.1%
T 3
8.3%
M 3
8.3%
U 3
8.3%
C 2
 
5.6%
L 2
 
5.6%
N 2
 
5.6%
J 1
 
2.8%
Other values (6) 6
16.7%
Common
ValueCountFrequency (%)
& 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1413
97.4%
ASCII 37
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 79
 
5.6%
리 53
 
3.8%
화 52
 
3.7%
러 46
 
3.3%
갤 45
 
3.2%
물 35
 
2.5%
박 35
 
2.5%
아 34
 
2.4%
문 32
 
2.3%
미 29
 
2.1%
Other values (262) 973
68.9%
ASCII
ValueCountFrequency (%)
B 5
13.5%
S 5
13.5%
K 4
10.8%
T 3
8.1%
M 3
8.1%
U 3
8.1%
C 2
 
5.4%
L 2
 
5.4%
N 2
 
5.4%
J 1
 
2.7%
Other values (7) 7
18.9%

지번 주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing240
Missing (%)100.0%
Memory size2.2 KiB

도로명 주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing240
Missing (%)100.0%
Memory size2.2 KiB

행정 시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울특별시
240 

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 240
100.0%

Length

2023-12-11T15:13:09.906887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:13:09.992296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 240
100.0%

행정 구
Categorical

Distinct23
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
종로구
110 
강남구
31 
마포구
13 
중구
12 
용산구
 
10
Other values (18)
64 

Length

Max length4
Median length3
Mean length2.9958333
Min length2

Unique

Unique4 ?
Unique (%)1.7%

Sample

1st row종로구
2nd row종로구
3rd row서초구
4th row종로구
5th row종로구

Common Values

ValueCountFrequency (%)
종로구 110
45.8%
강남구 31
 
12.9%
마포구 13
 
5.4%
중구 12
 
5.0%
용산구 10
 
4.2%
서초구 9
 
3.8%
송파구 8
 
3.3%
영등포구 6
 
2.5%
성북구 6
 
2.5%
양천구 5
 
2.1%
Other values (13) 30
 
12.5%

Length

2023-12-11T15:13:10.111851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종로구 110
45.8%
강남구 31
 
12.9%
마포구 13
 
5.4%
중구 12
 
5.0%
용산구 10
 
4.2%
서초구 9
 
3.8%
송파구 8
 
3.3%
영등포구 6
 
2.5%
성북구 6
 
2.5%
양천구 5
 
2.1%
Other values (13) 30
 
12.5%

행정 동
Text

Distinct91
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T15:13:10.370751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length4.0833333
Min length2

Characters and Unicode

Total characters980
Distinct characters110
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

Unique63 ?
Unique (%)26.2%

Sample

1st row종로1.2.3.4가동
2nd row평창동
3rd row반포4동
4th row부암동
5th row종로1.2.3.4가동
ValueCountFrequency (%)
종로1.2.3.4가동 23
 
9.6%
삼청동 20
 
8.3%
평창동 18
 
7.5%
이화동 10
 
4.2%
가회동 10
 
4.2%
사직동 9
 
3.8%
청담동 8
 
3.3%
청운효자동 8
 
3.3%
혜화동 7
 
2.9%
신사동 6
 
2.5%
Other values (81) 121
50.4%
2023-12-11T15:13:10.864645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 240
24.5%
. 71
 
7.2%
2 49
 
5.0%
1 40
 
4.1%
청 37
 
3.8%
가 37
 
3.8%
3 28
 
2.9%
삼 27
 
2.8%
로 27
 
2.8%
4 26
 
2.7%
Other values (100) 398
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
77.8%
Decimal Number 147
 
15.0%
Other Punctuation 71
 
7.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 240
31.5%
청 37
 
4.9%
가 37
 
4.9%
삼 27
 
3.5%
로 27
 
3.5%
종 25
 
3.3%
평 19
 
2.5%
창 19
 
2.5%
화 17
 
2.2%
사 16
 
2.1%
Other values (93) 298
39.1%
Decimal Number
ValueCountFrequency (%)
2 49
33.3%
1 40
27.2%
3 28
19.0%
4 26
17.7%
6 2
 
1.4%
5 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
77.8%
Common 218
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 240
31.5%
청 37
 
4.9%
가 37
 
4.9%
삼 27
 
3.5%
로 27
 
3.5%
종 25
 
3.3%
평 19
 
2.5%
창 19
 
2.5%
화 17
 
2.2%
사 16
 
2.1%
Other values (93) 298
39.1%
Common
ValueCountFrequency (%)
. 71
32.6%
2 49
22.5%
1 40
18.3%
3 28
 
12.8%
4 26
 
11.9%
6 2
 
0.9%
5 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
77.8%
ASCII 218
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 240
31.5%
청 37
 
4.9%
가 37
 
4.9%
삼 27
 
3.5%
로 27
 
3.5%
종 25
 
3.3%
평 19
 
2.5%
창 19
 
2.5%
화 17
 
2.2%
사 16
 
2.1%
Other values (93) 298
39.1%
ASCII
ValueCountFrequency (%)
. 71
32.6%
2 49
22.5%
1 40
18.3%
3 28
 
12.8%
4 26
 
11.9%
6 2
 
0.9%
5 2
 
0.9%

Correlations

2023-12-11T15:13:10.968934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류2분류3행정 구행정 동
분류21.0001.0000.5230.788
분류31.0001.0000.6290.927
행정 구0.5230.6291.0001.000
행정 동0.7880.9271.0001.000
2023-12-11T15:13:11.102547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류3분류2행정 구
분류31.0000.9870.291
분류20.9871.0000.306
행정 구0.2910.3061.000
2023-12-11T15:13:11.198693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류2분류3행정 구
분류21.0000.9870.306
분류30.9871.0000.291
행정 구0.3060.2911.000

Missing values

2023-12-11T15:13:07.206341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:13:07.374343image/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

메인 키분류1분류2분류3분류4검색어명칭지번 주소도로명 주소행정 시행정 구행정 동
0BE_LiST36-0085교육/예술/종교문화시설미술관<NA>인사아트센터인사아트센터<NA><NA>서울특별시종로구종로1.2.3.4가동
1BE_LiST36-0086교육/예술/종교문화시설미술관<NA>일랑미술관일랑미술관<NA><NA>서울특별시종로구평창동
2BE_LiST36-0087교육/예술/종교문화시설미술관<NA>일오삼갤러리일오삼갤러리<NA><NA>서울특별시서초구반포4동
3BE_LiST36-0088교육/예술/종교문화시설미술관<NA>자하미술관자하미술관<NA><NA>서울특별시종로구부암동
4BE_LiST36-0089교육/예술/종교문화시설미술관<NA>장은선갤러리장은선갤러리<NA><NA>서울특별시종로구종로1.2.3.4가동
5BE_LiST36-0090교육/예술/종교문화시설미술관<NA>정표구화랑정표구화랑<NA><NA>서울특별시중구청구동
6BE_LiST36-0091교육/예술/종교문화시설미술관<NA>조갤러리조갤러리<NA><NA>서울특별시종로구가회동
7BE_LiST36-0092교육/예술/종교문화시설미술관<NA>조선화랑조선화랑<NA><NA>서울특별시강남구삼성1동
8BE_LiST36-0093교육/예술/종교문화시설미술관<NA>진선갤러리진선갤러리<NA><NA>서울특별시종로구삼청동
9BE_LiST36-0094교육/예술/종교문화시설미술관<NA>진화랑진화랑<NA><NA>서울특별시종로구사직동
메인 키분류1분류2분류3분류4검색어명칭지번 주소도로명 주소행정 시행정 구행정 동
230BE_LiST36-0024교육/예술/종교문화시설미술관<NA>경인미술관경인미술관<NA><NA>서울특별시종로구종로1.2.3.4가동
231BE_LiST36-0025교육/예술/종교문화시설미술관<NA>국제갤러리국제갤러리<NA><NA>서울특별시종로구삼청동
232BE_LiST36-0077교육/예술/종교문화시설미술관<NA>영재교육/미술관영재교육미술관<NA><NA>서울특별시종로구평창동
233BE_LiST36-0078교육/예술/종교문화시설미술관<NA>예원화랑예원화랑<NA><NA>서울특별시강남구대치4동
234BE_LiST36-0079교육/예술/종교문화시설미술관<NA>예인갤러리예인갤러리<NA><NA>서울특별시종로구종로1.2.3.4가동
235BE_LiST36-0080교육/예술/종교문화시설미술관<NA>예화랑예화랑<NA><NA>서울특별시강남구신사동
236BE_LiST36-0081교육/예술/종교문화시설미술관<NA>유아트/스페이스유아트스페이스<NA><NA>서울특별시강남구청담동
237BE_LiST36-0082교육/예술/종교문화시설미술관<NA>이목화랑이목화랑<NA><NA>서울특별시종로구가회동
238BE_LiST36-0083교육/예술/종교문화시설미술관<NA>이즈갤러리이즈갤러리<NA><NA>서울특별시종로구종로1.2.3.4가동
239BE_LiST36-0084교육/예술/종교문화시설미술관<NA>인사미술공간인사미술공간<NA><NA>서울특별시종로구가회동