Overview

Dataset statistics

Number of variables8
Number of observations676
Missing cells24
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.0 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Categorical4
Text3

Dataset

Description서울특별시 강남구 실내공기질 관리대상 다중이용시설 정보입니다.(시설군, 시설명, 소재지, 전화번호가 포함되어 있습니다.)
Author서울특별시 강남구
URLhttps://www.data.go.kr/data/15076348/fileData.do

Alerts

자치구명 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 시설군 and 1 other fieldsHigh correlation
시설군 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
이용유의사항 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
이용유의사항 is highly imbalanced (89.7%)Imbalance
전화번호 has 24 (3.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:19:10.339436
Analysis finished2024-03-15 02:19:12.383375
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct676
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338.5
Minimum1
Maximum676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-03-15T11:19:12.799531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.75
Q1169.75
median338.5
Q3507.25
95-th percentile642.25
Maximum676
Range675
Interquartile range (IQR)337.5

Descriptive statistics

Standard deviation195.28868
Coefficient of variation (CV)0.57692371
Kurtosis-1.2
Mean338.5
Median Absolute Deviation (MAD)169
Skewness0
Sum228826
Variance38137.667
MonotonicityStrictly increasing
2024-03-15T11:19:13.153984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
456 1
 
0.1%
448 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
452 1
 
0.1%
453 1
 
0.1%
454 1
 
0.1%
455 1
 
0.1%
Other values (666) 666
98.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
676 1
0.1%
675 1
0.1%
674 1
0.1%
673 1
0.1%
672 1
0.1%
671 1
0.1%
670 1
0.1%
669 1
0.1%
668 1
0.1%
667 1
0.1%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
강남구
676 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구 676
100.0%

Length

2024-03-15T11:19:13.528457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:19:13.797697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구 676
100.0%

시설군
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
실내주차장
368 
어린이집
67 
의료기관
54 
PC영업시설
38 
지하역사
37 
Other values (13)
112 

Length

Max length12
Median length5
Mean length4.7248521
Min length2

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 368
54.4%
어린이집 67
 
9.9%
의료기관 54
 
8.0%
PC영업시설 38
 
5.6%
지하역사 37
 
5.5%
대규모점포 33
 
4.9%
학원 24
 
3.6%
산후조리원 15
 
2.2%
목욕장 10
 
1.5%
영화상영관 9
 
1.3%
Other values (8) 21
 
3.1%

Length

2024-03-15T11:19:13.975775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 368
54.3%
어린이집 67
 
9.9%
의료기관 54
 
8.0%
pc영업시설 38
 
5.6%
지하역사 37
 
5.5%
대규모점포 33
 
4.9%
학원 24
 
3.5%
산후조리원 15
 
2.2%
목욕장 10
 
1.5%
영화상영관 9
 
1.3%
Other values (10) 23
 
3.4%

시설명
Text

Distinct658
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-15T11:19:14.822089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length8.964497
Min length2

Characters and Unicode

Total characters6060
Distinct characters489
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)94.8%

Sample

1st row구룡역(분당선)
2nd row대청역(3호선)
3rd row개포동역(분당선)
4th row학동역(7호선)
5th row논현역(7호선)
ValueCountFrequency (%)
공영주차장 11
 
1.2%
강남 9
 
1.0%
어린이집 8
 
0.9%
pc 8
 
0.9%
강남구 6
 
0.6%
현대백화점 6
 
0.6%
강남점 6
 
0.6%
3pop 5
 
0.5%
산후조리원 5
 
0.5%
삼성서울병원 5
 
0.5%
Other values (788) 864
92.6%
2024-03-15T11:19:16.178823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
 
4.2%
이 168
 
2.8%
) 137
 
2.3%
( 137
 
2.3%
원 137
 
2.3%
스 121
 
2.0%
빌 113
 
1.9%
딩 102
 
1.7%
강 99
 
1.6%
남 98
 
1.6%
Other values (479) 4691
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5034
83.1%
Uppercase Letter 302
 
5.0%
Space Separator 257
 
4.2%
Close Punctuation 137
 
2.3%
Open Punctuation 137
 
2.3%
Decimal Number 108
 
1.8%
Lowercase Letter 42
 
0.7%
Other Symbol 27
 
0.4%
Other Punctuation 12
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 168
 
3.3%
원 137
 
2.7%
스 121
 
2.4%
빌 113
 
2.2%
딩 102
 
2.0%
강 99
 
2.0%
남 98
 
1.9%
어 98
 
1.9%
타 84
 
1.7%
리 82
 
1.6%
Other values (415) 3932
78.1%
Uppercase Letter
ValueCountFrequency (%)
C 48
15.9%
P 42
13.9%
S 24
 
7.9%
E 18
 
6.0%
L 18
 
6.0%
G 16
 
5.3%
A 15
 
5.0%
K 14
 
4.6%
I 14
 
4.6%
T 13
 
4.3%
Other values (15) 80
26.5%
Lowercase Letter
ValueCountFrequency (%)
p 7
16.7%
e 6
14.3%
c 5
11.9%
a 4
9.5%
o 3
 
7.1%
f 2
 
4.8%
r 2
 
4.8%
k 2
 
4.8%
i 2
 
4.8%
l 1
 
2.4%
Other values (8) 8
19.0%
Decimal Number
ValueCountFrequency (%)
1 25
23.1%
2 24
22.2%
3 21
19.4%
7 9
 
8.3%
9 9
 
8.3%
4 7
 
6.5%
0 6
 
5.6%
5 3
 
2.8%
6 3
 
2.8%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 6
50.0%
: 4
33.3%
, 1
 
8.3%
! 1
 
8.3%
Space Separator
ValueCountFrequency (%)
257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5061
83.5%
Common 654
 
10.8%
Latin 345
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 168
 
3.3%
원 137
 
2.7%
스 121
 
2.4%
빌 113
 
2.2%
딩 102
 
2.0%
강 99
 
2.0%
남 98
 
1.9%
어 98
 
1.9%
타 84
 
1.7%
리 82
 
1.6%
Other values (416) 3959
78.2%
Latin
ValueCountFrequency (%)
C 48
 
13.9%
P 42
 
12.2%
S 24
 
7.0%
E 18
 
5.2%
L 18
 
5.2%
G 16
 
4.6%
A 15
 
4.3%
K 14
 
4.1%
I 14
 
4.1%
T 13
 
3.8%
Other values (34) 123
35.7%
Common
ValueCountFrequency (%)
257
39.3%
) 137
20.9%
( 137
20.9%
1 25
 
3.8%
2 24
 
3.7%
3 21
 
3.2%
7 9
 
1.4%
9 9
 
1.4%
4 7
 
1.1%
& 6
 
0.9%
Other values (9) 22
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5034
83.1%
ASCII 998
 
16.5%
None 27
 
0.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
25.8%
) 137
13.7%
( 137
13.7%
C 48
 
4.8%
P 42
 
4.2%
1 25
 
2.5%
2 24
 
2.4%
S 24
 
2.4%
3 21
 
2.1%
E 18
 
1.8%
Other values (52) 265
26.6%
Hangul
ValueCountFrequency (%)
이 168
 
3.3%
원 137
 
2.7%
스 121
 
2.4%
빌 113
 
2.2%
딩 102
 
2.0%
강 99
 
2.0%
남 98
 
1.9%
어 98
 
1.9%
타 84
 
1.7%
리 82
 
1.6%
Other values (415) 3932
78.1%
None
ValueCountFrequency (%)
㈜ 27
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지
Text

Distinct631
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-15T11:19:17.122873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length15.366864
Min length6

Characters and Unicode

Total characters10388
Distinct characters197
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)88.6%

Sample

1st row강남구 개포로 지하403
2nd row강남구 일원로 지하2
3rd row강남구 개포로509
4th row강남구 학동로 지하180
5th row강남구 학동로 지하102
ValueCountFrequency (%)
강남구 622
27.3%
테헤란로 93
 
4.1%
언주로 35
 
1.5%
지하1층 33
 
1.4%
강남대로 33
 
1.4%
영동대로 30
 
1.3%
논현로 29
 
1.3%
봉은사로 26
 
1.1%
남부순환로 25
 
1.1%
선릉로 24
 
1.1%
Other values (719) 1326
58.3%
2024-03-15T11:19:18.319546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1625
 
15.6%
남 696
 
6.7%
강 668
 
6.4%
구 659
 
6.3%
로 653
 
6.3%
1 521
 
5.0%
2 421
 
4.1%
3 270
 
2.6%
4 259
 
2.5%
5 225
 
2.2%
Other values (187) 4391
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5656
54.4%
Decimal Number 2561
24.7%
Space Separator 1625
 
15.6%
Other Punctuation 178
 
1.7%
Open Punctuation 120
 
1.2%
Close Punctuation 120
 
1.2%
Math Symbol 48
 
0.5%
Dash Punctuation 43
 
0.4%
Uppercase Letter 33
 
0.3%
Lowercase Letter 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 696
 
12.3%
강 668
 
11.8%
구 659
 
11.7%
로 653
 
11.5%
동 210
 
3.7%
길 198
 
3.5%
층 165
 
2.9%
대 143
 
2.5%
테 133
 
2.4%
란 132
 
2.3%
Other values (151) 1999
35.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
27.3%
A 3
 
9.1%
G 2
 
6.1%
S 2
 
6.1%
M 2
 
6.1%
L 2
 
6.1%
O 2
 
6.1%
R 2
 
6.1%
H 2
 
6.1%
D 1
 
3.0%
Other values (6) 6
18.2%
Decimal Number
ValueCountFrequency (%)
1 521
20.3%
2 421
16.4%
3 270
10.5%
4 259
10.1%
5 225
8.8%
0 224
8.7%
6 198
 
7.7%
8 163
 
6.4%
7 158
 
6.2%
9 122
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
j 1
50.0%
Space Separator
ValueCountFrequency (%)
1625
100.0%
Other Punctuation
ValueCountFrequency (%)
, 178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Math Symbol
ValueCountFrequency (%)
~ 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5657
54.5%
Common 4695
45.2%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 696
 
12.3%
강 668
 
11.8%
구 659
 
11.6%
로 653
 
11.5%
동 210
 
3.7%
길 198
 
3.5%
층 165
 
2.9%
대 143
 
2.5%
테 133
 
2.4%
란 132
 
2.3%
Other values (152) 2000
35.4%
Latin
ValueCountFrequency (%)
B 9
25.0%
A 3
 
8.3%
G 2
 
5.6%
S 2
 
5.6%
M 2
 
5.6%
L 2
 
5.6%
O 2
 
5.6%
R 2
 
5.6%
H 2
 
5.6%
D 1
 
2.8%
Other values (9) 9
25.0%
Common
ValueCountFrequency (%)
1625
34.6%
1 521
 
11.1%
2 421
 
9.0%
3 270
 
5.8%
4 259
 
5.5%
5 225
 
4.8%
0 224
 
4.8%
6 198
 
4.2%
, 178
 
3.8%
8 163
 
3.5%
Other values (6) 611
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5656
54.4%
ASCII 4730
45.5%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1625
34.4%
1 521
 
11.0%
2 421
 
8.9%
3 270
 
5.7%
4 259
 
5.5%
5 225
 
4.8%
0 224
 
4.7%
6 198
 
4.2%
, 178
 
3.8%
8 163
 
3.4%
Other values (24) 646
 
13.7%
Hangul
ValueCountFrequency (%)
남 696
 
12.3%
강 668
 
11.8%
구 659
 
11.7%
로 653
 
11.5%
동 210
 
3.7%
길 198
 
3.5%
층 165
 
2.9%
대 143
 
2.5%
테 133
 
2.4%
란 132
 
2.3%
Other values (151) 1999
35.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

전화번호
Text

MISSING 

Distinct621
Distinct (%)95.2%
Missing24
Missing (%)3.6%
Memory size5.4 KiB
2024-03-15T11:19:19.306715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length11.716258
Min length9

Characters and Unicode

Total characters7639
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)91.7%

Sample

1st row02-579-7760
2nd row02-6110-3471
3rd row02-3412-4418
4th row02-6311-7311
5th row02-6311-7320
ValueCountFrequency (%)
02-6000-1216 6
 
0.9%
02-3410-0798 4
 
0.6%
02-9766-4716 3
 
0.5%
02-3449-4399 3
 
0.5%
02-3467-6193 2
 
0.3%
02-514-7979 2
 
0.3%
02-3446-0105 2
 
0.3%
02-1588-7562 2
 
0.3%
02-517-2277 2
 
0.3%
02-511-1875 2
 
0.3%
Other values (611) 625
95.7%
2024-03-15T11:19:20.845451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1314
17.2%
- 1309
17.1%
2 1109
14.5%
5 732
9.6%
1 666
8.7%
4 474
 
6.2%
6 465
 
6.1%
3 455
 
6.0%
7 407
 
5.3%
8 364
 
4.8%
Other values (7) 344
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6300
82.5%
Dash Punctuation 1309
 
17.1%
Other Punctuation 14
 
0.2%
Space Separator 10
 
0.1%
Math Symbol 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1314
20.9%
2 1109
17.6%
5 732
11.6%
1 666
10.6%
4 474
 
7.5%
6 465
 
7.4%
3 455
 
7.2%
7 407
 
6.5%
8 364
 
5.8%
9 314
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 10
71.4%
, 4
 
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 1309
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7639
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1314
17.2%
- 1309
17.1%
2 1109
14.5%
5 732
9.6%
1 666
8.7%
4 474
 
6.2%
6 465
 
6.1%
3 455
 
6.0%
7 407
 
5.3%
8 364
 
4.8%
Other values (7) 344
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7639
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1314
17.2%
- 1309
17.1%
2 1109
14.5%
5 732
9.6%
1 666
8.7%
4 474
 
6.2%
6 465
 
6.1%
3 455
 
6.0%
7 407
 
5.3%
8 364
 
4.8%
Other values (7) 344
 
4.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-02-29
676 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-29
2nd row2024-02-29
3rd row2024-02-29
4th row2024-02-29
5th row2024-02-29

Common Values

ValueCountFrequency (%)
2024-02-29 676
100.0%

Length

2024-03-15T11:19:21.274434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:19:21.641396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-29 676
100.0%

이용유의사항
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
654 
전화번호 미제공
 
18
사업자등록증 발급시 미제
 
2
사업자등록증 발급시 미제출
 
1
개인 연락처만 존재
 
1

Length

Max length14
Median length4
Mean length4.1568047
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 654
96.7%
전화번호 미제공 18
 
2.7%
사업자등록증 발급시 미제 2
 
0.3%
사업자등록증 발급시 미제출 1
 
0.1%
개인 연락처만 존재 1
 
0.1%

Length

2024-03-15T11:19:21.978076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:19:22.315490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 654
93.2%
전화번호 18
 
2.6%
미제공 18
 
2.6%
사업자등록증 3
 
0.4%
발급시 3
 
0.4%
미제 2
 
0.3%
미제출 1
 
0.1%
개인 1
 
0.1%
연락처만 1
 
0.1%
존재 1
 
0.1%

Interactions

2024-03-15T11:19:11.418755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:19:22.541846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군이용유의사항
연번1.0000.8720.899
시설군0.8721.0000.909
이용유의사항0.8990.9091.000
2024-03-15T11:19:22.784522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설군이용유의사항
시설군1.0000.687
이용유의사항0.6871.000
2024-03-15T11:19:23.027258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군이용유의사항
연번1.0000.5750.581
시설군0.5751.0000.687
이용유의사항0.5810.6871.000

Missing values

2024-03-15T11:19:11.801011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:19:12.221486image/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

연번자치구명시설군시설명소재지전화번호데이터기준일이용유의사항
01강남구지하역사구룡역(분당선)강남구 개포로 지하40302-579-77602024-02-29<NA>
12강남구지하역사대청역(3호선)강남구 일원로 지하202-6110-34712024-02-29<NA>
23강남구지하역사개포동역(분당선)강남구 개포로50902-3412-44182024-02-29<NA>
34강남구지하역사학동역(7호선)강남구 학동로 지하18002-6311-73112024-02-29<NA>
45강남구지하역사논현역(7호선)강남구 학동로 지하10202-6311-73202024-02-29<NA>
56강남구지하역사논현역(신분당선)강남구 학동로 지하10202-810-58402024-02-29<NA>
67강남구지하역사한티역(분당선)강남구 선릉로 지하22802-569-97042024-02-29<NA>
78강남구지하역사대치역(3호선)강남구 남부순환로 지하295202-6110-34512024-02-29<NA>
89강남구지하역사학여울역(3호선)강남구 남부순환로 지하310402-6110-34612024-02-29<NA>
910강남구지하역사매봉역(3호선)강남구 남부순환로 지하274402-6110-34312024-02-29<NA>
연번자치구명시설군시설명소재지전화번호데이터기준일이용유의사항
666667강남구실내주차장자곡문화센터강남구 자곡로 10002-6712-05772024-02-29<NA>
667668강남구실내주차장신사스퀘어강남구 강남대로 65202-516-80002024-02-29<NA>
668669강남구실내주차장더 샵스 엣 센터필드강남구 테헤란로 231<NA>2024-02-29<NA>
669670강남구실내주차장오렌지 플래닛강남구 테헤란로 21702-3453-99672024-02-29<NA>
670671강남구실내어린이놀이시설쁘디몽드 자곡점서울특별시 강남구 자곡로 108, 더 미라클 지하1층 B102~3호 (자곡동)02-3412-71002024-02-29<NA>
671672강남구실내어린이놀이시설(주)바운스(바운스 트램폴린 삼성센터-VAUNCE)서울특별시 강남구 영동대로 325, B3층 (대치동, 해암빌딩)02-554-01502024-02-29<NA>
672673강남구실내어린이놀이시설주식회사 텐씨엘(CALI CLUB)서울특별시 강남구 선릉로 832, 소나무빌딩 B2~B3층 (청담동)<NA>2024-02-29<NA>
673674강남구실내어린이놀이시설도곡어린이실내놀이터서울특별시 강남구 도곡로18길 57, 도곡정보문화도서관 지하1,2층02-2176-05912024-02-29<NA>
674675강남구실내어린이놀이시설일원어린이실내놀이터강남구 영동대로 2202-2176-05892024-02-29<NA>
675676강남구실내어린이놀이시설세곡어린이실내놀이터헌릉로618길 702-2176-05972024-02-29<NA>