Overview

Dataset statistics

Number of variables11
Number of observations40
Missing cells15
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory93.3 B

Variable types

Numeric2
Categorical3
Text4
DateTime1
Boolean1

Dataset

Description서울특별시 서대문구 내 흡연구역 설치 현황 정보(설치위치, 시설형태, 규모, 설치일, 관리기관 등)에 대한 데이터를 제공합니다.
Author서울특별시 서대문구
URLhttps://www.data.go.kr/data/15040413/fileData.do

Alerts

자치구 has constant value ""Constant
관리여부 has constant value ""Constant
연번 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 연번High correlation
설치일 has 15 (37.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:50:06.482213
Analysis finished2023-12-12 20:50:07.648465
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T05:50:07.720531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-13T05:50:07.849020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

자치구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
서대문구
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서대문구 40
100.0%

Length

2023-12-13T05:50:07.976522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:50:08.076318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서대문구 40
100.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
1,000제곱미터이상 건축물
21 
청사
12 
대학교
4 
의료기관
 
1
학원
 
1

Length

Max length15
Median length15
Mean length9.05
Min length2

Unique

Unique3 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
1,000제곱미터이상 건축물 21
52.5%
청사 12
30.0%
대학교 4
 
10.0%
의료기관 1
 
2.5%
학원 1
 
2.5%
대규모점포 1
 
2.5%

Length

2023-12-13T05:50:08.228963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:50:08.372815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1,000제곱미터이상 21
34.4%
건축물 21
34.4%
청사 12
19.7%
대학교 4
 
6.6%
의료기관 1
 
1.6%
학원 1
 
1.6%
대규모점포 1
 
1.6%

시설형태
Categorical

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
개방형
28 
폐쇄형
5 
완전폐쇄형
4 
완전개방형
3 

Length

Max length5
Median length3
Mean length3.35
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완전폐쇄형
2nd row개방형
3rd row개방형
4th row개방형
5th row개방형

Common Values

ValueCountFrequency (%)
개방형 28
70.0%
폐쇄형 5
 
12.5%
완전폐쇄형 4
 
10.0%
완전개방형 3
 
7.5%

Length

2023-12-13T05:50:08.566749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:50:08.704915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방형 28
70.0%
폐쇄형 5
 
12.5%
완전폐쇄형 4
 
10.0%
완전개방형 3
 
7.5%

설치위치
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:50:08.921856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.875
Min length4

Characters and Unicode

Total characters235
Distinct characters40
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

Unique33 ?
Unique (%)82.5%

Sample

1st row연희로248
2nd row연희로248
3rd row연희로182
4th row서소문로51
5th row성산로20길 9
ValueCountFrequency (%)
성산로20길 3
 
6.8%
9 3
 
6.8%
충정로60 2
 
4.5%
연희로248 2
 
4.5%
연세로13 1
 
2.3%
충정로23 1
 
2.3%
신촌로113 1
 
2.3%
신촌로183 1
 
2.3%
신촌로231 1
 
2.3%
경기대로9 1
 
2.3%
Other values (28) 28
63.6%
2023-12-13T05:50:09.316096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 40
17.0%
1 19
 
8.1%
3 15
 
6.4%
2 14
 
6.0%
4 10
 
4.3%
0 9
 
3.8%
충 8
 
3.4%
정 8
 
3.4%
7 7
 
3.0%
9 7
 
3.0%
Other values (30) 98
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
55.7%
Decimal Number 99
42.1%
Space Separator 4
 
1.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 40
30.5%
충 8
 
6.1%
정 8
 
6.1%
연 7
 
5.3%
촌 6
 
4.6%
신 6
 
4.6%
성 5
 
3.8%
희 5
 
3.8%
산 5
 
3.8%
일 4
 
3.1%
Other values (18) 37
28.2%
Decimal Number
ValueCountFrequency (%)
1 19
19.2%
3 15
15.2%
2 14
14.1%
4 10
10.1%
0 9
9.1%
7 7
 
7.1%
9 7
 
7.1%
5 7
 
7.1%
8 6
 
6.1%
6 5
 
5.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
55.7%
Common 104
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 40
30.5%
충 8
 
6.1%
정 8
 
6.1%
연 7
 
5.3%
촌 6
 
4.6%
신 6
 
4.6%
성 5
 
3.8%
희 5
 
3.8%
산 5
 
3.8%
일 4
 
3.1%
Other values (18) 37
28.2%
Common
ValueCountFrequency (%)
1 19
18.3%
3 15
14.4%
2 14
13.5%
4 10
9.6%
0 9
8.7%
7 7
 
6.7%
9 7
 
6.7%
5 7
 
6.7%
8 6
 
5.8%
6 5
 
4.8%
Other values (2) 5
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
55.7%
ASCII 104
44.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 40
30.5%
충 8
 
6.1%
정 8
 
6.1%
연 7
 
5.3%
촌 6
 
4.6%
신 6
 
4.6%
성 5
 
3.8%
희 5
 
3.8%
산 5
 
3.8%
일 4
 
3.1%
Other values (18) 37
28.2%
ASCII
ValueCountFrequency (%)
1 19
18.3%
3 15
14.4%
2 14
13.5%
4 10
9.6%
0 9
8.7%
7 7
 
6.7%
9 7
 
6.7%
5 7
 
6.7%
8 6
 
5.8%
6 5
 
4.8%
Other values (2) 5
 
4.8%

설치위치 상세
Text

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:50:09.585763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.875
Min length2

Characters and Unicode

Total characters315
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)80.0%

Sample

1st row옥상
2nd row1층 정자
3rd row서대문소방서 3층 테라스
4th row1층
5th row4층 테라스
ValueCountFrequency (%)
1층 16
18.8%
옥상 13
 
15.3%
테라스 4
 
4.7%
옆 3
 
3.5%
2층 3
 
3.5%
외부 3
 
3.5%
주차장 3
 
3.5%
현대백화점 2
 
2.4%
지하1층 2
 
2.4%
신촌점 2
 
2.4%
Other values (34) 34
40.0%
2023-12-13T05:50:09.993798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
14.3%
층 26
 
8.3%
1 20
 
6.3%
상 16
 
5.1%
옥 14
 
4.4%
딩 11
 
3.5%
빌 11
 
3.5%
지 7
 
2.2%
스 7
 
2.2%
장 5
 
1.6%
Other values (90) 153
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
74.0%
Space Separator 45
 
14.3%
Decimal Number 26
 
8.3%
Uppercase Letter 9
 
2.9%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 26
 
11.2%
상 16
 
6.9%
옥 14
 
6.0%
딩 11
 
4.7%
빌 11
 
4.7%
지 7
 
3.0%
스 7
 
3.0%
장 5
 
2.1%
대 5
 
2.1%
외 5
 
2.1%
Other values (76) 126
54.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
33.3%
T 2
22.2%
M 1
 
11.1%
B 1
 
11.1%
Y 1
 
11.1%
S 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 20
76.9%
2 3
 
11.5%
3 1
 
3.8%
4 1
 
3.8%
5 1
 
3.8%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
74.0%
Common 73
 
23.2%
Latin 9
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 26
 
11.2%
상 16
 
6.9%
옥 14
 
6.0%
딩 11
 
4.7%
빌 11
 
4.7%
지 7
 
3.0%
스 7
 
3.0%
장 5
 
2.1%
대 5
 
2.1%
외 5
 
2.1%
Other values (76) 126
54.1%
Common
ValueCountFrequency (%)
45
61.6%
1 20
27.4%
2 3
 
4.1%
3 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
( 1
 
1.4%
) 1
 
1.4%
Latin
ValueCountFrequency (%)
K 3
33.3%
T 2
22.2%
M 1
 
11.1%
B 1
 
11.1%
Y 1
 
11.1%
S 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
74.0%
ASCII 82
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
54.9%
1 20
24.4%
K 3
 
3.7%
2 3
 
3.7%
T 2
 
2.4%
M 1
 
1.2%
B 1
 
1.2%
Y 1
 
1.2%
S 1
 
1.2%
3 1
 
1.2%
Other values (4) 4
 
4.9%
Hangul
ValueCountFrequency (%)
층 26
 
11.2%
상 16
 
6.9%
옥 14
 
6.0%
딩 11
 
4.7%
빌 11
 
4.7%
지 7
 
3.0%
스 7
 
3.0%
장 5
 
2.1%
대 5
 
2.1%
외 5
 
2.1%
Other values (76) 126
54.1%

규모(제곱미터)
Real number (ℝ)

Distinct17
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T05:50:10.140754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q19
median15
Q325
95-th percentile50
Maximum100
Range95
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.094009
Coefficient of variation (CV)0.89968466
Kurtosis12.622151
Mean19
Median Absolute Deviation (MAD)7
Skewness3.0994176
Sum760
Variance292.20513
MonotonicityNot monotonic
2023-12-13T05:50:10.280017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
15 6
15.0%
25 5
12.5%
12 3
 
7.5%
9 3
 
7.5%
5 3
 
7.5%
6 3
 
7.5%
8 2
 
5.0%
20 2
 
5.0%
50 2
 
5.0%
18 2
 
5.0%
Other values (7) 9
22.5%
ValueCountFrequency (%)
5 3
7.5%
6 3
7.5%
7 1
 
2.5%
8 2
 
5.0%
9 3
7.5%
10 2
 
5.0%
12 3
7.5%
13 1
 
2.5%
15 6
15.0%
18 2
 
5.0%
ValueCountFrequency (%)
100 1
 
2.5%
50 2
 
5.0%
35 1
 
2.5%
30 2
 
5.0%
25 5
12.5%
22 1
 
2.5%
20 2
 
5.0%
18 2
 
5.0%
15 6
15.0%
13 1
 
2.5%

설치일
Date

MISSING 

Distinct19
Distinct (%)76.0%
Missing15
Missing (%)37.5%
Memory size452.0 B
Minimum2000-01-01 00:00:00
Maximum2021-12-14 00:00:00
2023-12-13T05:50:10.420188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:50:10.574720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

설치주체
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:50:10.803054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.2
Min length3

Characters and Unicode

Total characters208
Distinct characters96
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

Unique31 ?
Unique (%)77.5%

Sample

1st row서대문구청
2nd row서대문구청
3rd row서대문소방서
4th row상수도사업본부
5th row서대문우체국
ValueCountFrequency (%)
서대문우체국 3
 
7.5%
현대백화점 2
 
5.0%
서대문구청 2
 
5.0%
kt&g 2
 
5.0%
신촌빌딩 1
 
2.5%
골든브리지빌딩 1
 
2.5%
충정타워 1
 
2.5%
종근당 1
 
2.5%
sk리쳄블 1
 
2.5%
대림통상 1
 
2.5%
Other values (25) 25
62.5%
2023-12-13T05:50:11.173235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 14
 
6.7%
서 10
 
4.8%
딩 10
 
4.8%
빌 10
 
4.8%
문 9
 
4.3%
지 7
 
3.4%
국 5
 
2.4%
K 5
 
2.4%
T 4
 
1.9%
백 4
 
1.9%
Other values (86) 130
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
91.8%
Uppercase Letter 15
 
7.2%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 14
 
7.3%
서 10
 
5.2%
딩 10
 
5.2%
빌 10
 
5.2%
문 9
 
4.7%
지 7
 
3.7%
국 5
 
2.6%
백 4
 
2.1%
화 4
 
2.1%
경 3
 
1.6%
Other values (78) 115
60.2%
Uppercase Letter
ValueCountFrequency (%)
K 5
33.3%
T 4
26.7%
G 2
 
13.3%
S 1
 
6.7%
Y 1
 
6.7%
B 1
 
6.7%
M 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
91.8%
Latin 15
 
7.2%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 14
 
7.3%
서 10
 
5.2%
딩 10
 
5.2%
빌 10
 
5.2%
문 9
 
4.7%
지 7
 
3.7%
국 5
 
2.6%
백 4
 
2.1%
화 4
 
2.1%
경 3
 
1.6%
Other values (78) 115
60.2%
Latin
ValueCountFrequency (%)
K 5
33.3%
T 4
26.7%
G 2
 
13.3%
S 1
 
6.7%
Y 1
 
6.7%
B 1
 
6.7%
M 1
 
6.7%
Common
ValueCountFrequency (%)
& 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
91.8%
ASCII 17
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 14
 
7.3%
서 10
 
5.2%
딩 10
 
5.2%
빌 10
 
5.2%
문 9
 
4.7%
지 7
 
3.7%
국 5
 
2.6%
백 4
 
2.1%
화 4
 
2.1%
경 3
 
1.6%
Other values (78) 115
60.2%
ASCII
ValueCountFrequency (%)
K 5
29.4%
T 4
23.5%
& 2
 
11.8%
G 2
 
11.8%
S 1
 
5.9%
Y 1
 
5.9%
B 1
 
5.9%
M 1
 
5.9%

관리여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size172.0 B
True
40 
ValueCountFrequency (%)
True 40
100.0%
2023-12-13T05:50:11.280453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T05:50:11.450047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.2
Min length3

Characters and Unicode

Total characters208
Distinct characters96
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

Unique31 ?
Unique (%)77.5%

Sample

1st row서대문구청
2nd row서대문구청
3rd row서대문소방서
4th row상수도사업본부
5th row서대문우체국
ValueCountFrequency (%)
서대문우체국 3
 
7.5%
현대백화점 2
 
5.0%
서대문구청 2
 
5.0%
kt&g 2
 
5.0%
신촌빌딩 1
 
2.5%
골든브리지빌딩 1
 
2.5%
충정타워 1
 
2.5%
종근당 1
 
2.5%
sk리쳄블 1
 
2.5%
대림통상 1
 
2.5%
Other values (25) 25
62.5%
2023-12-13T05:50:11.776624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 14
 
6.7%
서 10
 
4.8%
딩 10
 
4.8%
빌 10
 
4.8%
문 9
 
4.3%
지 7
 
3.4%
국 5
 
2.4%
K 5
 
2.4%
T 4
 
1.9%
백 4
 
1.9%
Other values (86) 130
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
91.8%
Uppercase Letter 15
 
7.2%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 14
 
7.3%
서 10
 
5.2%
딩 10
 
5.2%
빌 10
 
5.2%
문 9
 
4.7%
지 7
 
3.7%
국 5
 
2.6%
백 4
 
2.1%
화 4
 
2.1%
경 3
 
1.6%
Other values (78) 115
60.2%
Uppercase Letter
ValueCountFrequency (%)
K 5
33.3%
T 4
26.7%
G 2
 
13.3%
S 1
 
6.7%
Y 1
 
6.7%
B 1
 
6.7%
M 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
91.8%
Latin 15
 
7.2%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 14
 
7.3%
서 10
 
5.2%
딩 10
 
5.2%
빌 10
 
5.2%
문 9
 
4.7%
지 7
 
3.7%
국 5
 
2.6%
백 4
 
2.1%
화 4
 
2.1%
경 3
 
1.6%
Other values (78) 115
60.2%
Latin
ValueCountFrequency (%)
K 5
33.3%
T 4
26.7%
G 2
 
13.3%
S 1
 
6.7%
Y 1
 
6.7%
B 1
 
6.7%
M 1
 
6.7%
Common
ValueCountFrequency (%)
& 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
91.8%
ASCII 17
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 14
 
7.3%
서 10
 
5.2%
딩 10
 
5.2%
빌 10
 
5.2%
문 9
 
4.7%
지 7
 
3.7%
국 5
 
2.6%
백 4
 
2.1%
화 4
 
2.1%
경 3
 
1.6%
Other values (78) 115
60.2%
ASCII
ValueCountFrequency (%)
K 5
29.4%
T 4
23.5%
& 2
 
11.8%
G 2
 
11.8%
S 1
 
5.9%
Y 1
 
5.9%
B 1
 
5.9%
M 1
 
5.9%

Interactions

2023-12-13T05:50:07.053518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:50:06.891429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:50:07.372326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:50:06.979917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:50:11.910673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설형태설치위치설치위치 상세규모(제곱미터)설치일설치주체관리기관
연번1.0000.7720.0001.0000.8590.3960.9901.0001.000
시설구분0.7721.0000.3031.0000.9700.8630.9630.8340.834
시설형태0.0000.3031.0000.9620.7590.3041.0000.9540.954
설치위치1.0001.0000.9621.0000.9720.0001.0001.0001.000
설치위치 상세0.8590.9700.7590.9721.0000.9560.9100.9520.952
규모(제곱미터)0.3960.8630.3040.0000.9561.0000.0000.0000.000
설치일0.9900.9631.0001.0000.9100.0001.0001.0001.000
설치주체1.0000.8340.9541.0000.9520.0001.0001.0001.000
관리기관1.0000.8340.9541.0000.9520.0001.0001.0001.000
2023-12-13T05:50:12.020964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설형태시설구분
시설형태1.0000.185
시설구분0.1851.000
2023-12-13T05:50:12.093846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번규모(제곱미터)시설구분시설형태
연번1.0000.0150.5110.000
규모(제곱미터)0.0151.0000.4870.185
시설구분0.5110.4871.0000.185
시설형태0.0000.1850.1851.000

Missing values

2023-12-13T05:50:07.464247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:50:07.594739image/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

연번자치구시설구분시설형태설치위치설치위치 상세규모(제곱미터)설치일설치주체관리여부관리기관
01서대문구청사완전폐쇄형연희로248옥상35<NA>서대문구청Y서대문구청
12서대문구청사개방형연희로2481층 정자25<NA>서대문구청Y서대문구청
23서대문구청사개방형연희로182서대문소방서 3층 테라스252021-06-06서대문소방서Y서대문소방서
34서대문구청사개방형서소문로511층92021-10-15상수도사업본부Y상수도사업본부
45서대문구청사개방형성산로20길 94층 테라스92021-12-12서대문우체국Y서대문우체국
56서대문구청사개방형성산로20길 92층 실외152021-12-12서대문우체국Y서대문우체국
67서대문구청사개방형성산로20길 91층82021-12-12서대문우체국Y서대문우체국
78서대문구청사개방형통일로1131층52021-01-11서대문경찰서Y서대문경찰서
89서대문구청사완전폐쇄형통일로971층5<NA>경찰청Y경찰청
910서대문구청사개방형충정로361층15<NA>국민연금공단Y국민연금공단
연번자치구시설구분시설형태설치위치설치위치 상세규모(제곱미터)설치일설치주체관리여부관리기관
3031서대문구1,000제곱미터이상 건축물개방형서소문로45SK리쳄블 옥상92021-01-14SK리쳄블YSK리쳄블
3132서대문구1,000제곱미터이상 건축물개방형연희로142대림통상 옥상302021-01-02대림통상Y대림통상
3233서대문구1,000제곱미터이상 건축물개방형신촌로73케이스퀘어 신촌빌딩 옥상132021-10-17신촌빌딩Y신촌빌딩
3334서대문구1,000제곱미터이상 건축물완전개방형연희로407백련빌딩 옥상5<NA>백련빌딩Y백련빌딩
3435서대문구1,000제곱미터이상 건축물완전개방형신촌로231백상빌딩 옥상62021-06-18백상빌딩Y백상빌딩
3536서대문구1,000제곱미터이상 건축물개방형신촌로183유인빌딩 2층 외부72021-10-17유인빌딩Y유인빌딩
3637서대문구1,000제곱미터이상 건축물완전개방형신촌로113YBM옥상152021-03-18YBMYYBM
3738서대문구1,000제곱미터이상 건축물폐쇄형충정로23풍산빌딩 1층 화단 옆182021-01-12풍산빌딩Y풍산빌딩
3839서대문구1,000제곱미터이상 건축물개방형연세로13현대백화점 유플렉스 신촌점 옥상25<NA>현대백화점Y현대백화점
3940서대문구대규모점포개방형신촌로83현대백화점 신촌점 옥상100<NA>현대백화점Y현대백화점