Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory62.7 B

Variable types

Categorical4
Text2
Numeric1

Dataset

Description서울특별시 양천구 내 흡연구역 설치 현황 정보 (자치구, 시설구분, 시설형태, 시설위치, 규모, 설치기관, 데이터 기준일자 등)에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15040511/fileData.do

Alerts

자치구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치 위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:28:35.392715
Analysis finished2023-12-12 13:28:35.974285
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
양천구
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양천구 23
100.0%

Length

2023-12-12T22:28:36.029983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:28:36.132438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양천구 23
100.0%

시설 구분
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
대형건물
11 
청사
7 
의료기관
3 
체육시설
 
1
금연공동주택
 
1

Length

Max length6
Median length4
Mean length3.4782609
Min length2

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
대형건물 11
47.8%
청사 7
30.4%
의료기관 3
 
13.0%
체육시설 1
 
4.3%
금연공동주택 1
 
4.3%

Length

2023-12-12T22:28:36.254046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:28:36.360152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형건물 11
47.8%
청사 7
30.4%
의료기관 3
 
13.0%
체육시설 1
 
4.3%
금연공동주택 1
 
4.3%

시설형태
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
개방형
16 
완전개방형
7 

Length

Max length5
Median length3
Mean length3.6086957
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개방형 16
69.6%
완전개방형 7
30.4%

Length

2023-12-12T22:28:36.488361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:28:36.613353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방형 16
69.6%
완전개방형 7
30.4%

설치 위치
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:28:36.777266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.3913043
Min length6

Characters and Unicode

Total characters216
Distinct characters87
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

Unique23 ?
Unique (%)100.0%

Sample

1st row양천구청 부지
2nd row해누리타운 4층 옥외정원
3rd row양천경찰서 부지
4th row남부지방법원 후문 옆
5th row양천세무서 부지 우측
ValueCountFrequency (%)
부지 15
27.8%
옥상 3
 
5.6%
4층 2
 
3.7%
후문 2
 
3.7%
kt 2
 
3.7%
양천구청 1
 
1.9%
목동타워 1
 
1.9%
양천벤처타운 1
 
1.9%
현대41타워 1
 
1.9%
sbs 1
 
1.9%
Other values (25) 25
46.3%
2023-12-12T22:28:37.073709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
14.4%
지 18
 
8.3%
부 17
 
7.9%
타 6
 
2.8%
양 5
 
2.3%
천 5
 
2.3%
원 5
 
2.3%
층 4
 
1.9%
상 4
 
1.9%
서 4
 
1.9%
Other values (77) 117
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
79.2%
Space Separator 31
 
14.4%
Decimal Number 7
 
3.2%
Uppercase Letter 7
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 18
 
10.5%
부 17
 
9.9%
타 6
 
3.5%
양 5
 
2.9%
천 5
 
2.9%
원 5
 
2.9%
층 4
 
2.3%
상 4
 
2.3%
서 4
 
2.3%
옥 4
 
2.3%
Other values (68) 99
57.9%
Decimal Number
ValueCountFrequency (%)
4 3
42.9%
1 2
28.6%
7 1
 
14.3%
3 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
S 2
28.6%
K 2
28.6%
B 1
14.3%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
79.2%
Common 38
 
17.6%
Latin 7
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 18
 
10.5%
부 17
 
9.9%
타 6
 
3.5%
양 5
 
2.9%
천 5
 
2.9%
원 5
 
2.9%
층 4
 
2.3%
상 4
 
2.3%
서 4
 
2.3%
옥 4
 
2.3%
Other values (68) 99
57.9%
Common
ValueCountFrequency (%)
31
81.6%
4 3
 
7.9%
1 2
 
5.3%
7 1
 
2.6%
3 1
 
2.6%
Latin
ValueCountFrequency (%)
T 2
28.6%
S 2
28.6%
K 2
28.6%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
79.2%
ASCII 45
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
68.9%
4 3
 
6.7%
1 2
 
4.4%
T 2
 
4.4%
S 2
 
4.4%
K 2
 
4.4%
B 1
 
2.2%
7 1
 
2.2%
3 1
 
2.2%
Hangul
ValueCountFrequency (%)
지 18
 
10.5%
부 17
 
9.9%
타 6
 
3.5%
양 5
 
2.9%
천 5
 
2.9%
원 5
 
2.9%
층 4
 
2.3%
상 4
 
2.3%
서 4
 
2.3%
옥 4
 
2.3%
Other values (68) 99
57.9%

규모(제곱미터)
Real number (ℝ)

Distinct15
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8391304
Minimum3.3
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T22:28:37.197714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.52
Q16.35
median7
Q310
95-th percentile16.95
Maximum17
Range13.7
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation4.2202692
Coefficient of variation (CV)0.47745298
Kurtosis-0.27958735
Mean8.8391304
Median Absolute Deviation (MAD)3
Skewness0.8316888
Sum203.3
Variance17.810672
MonotonicityNot monotonic
2023-12-12T22:28:37.312146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10.0 4
17.4%
7.0 3
13.0%
8.0 2
 
8.7%
17.0 2
 
8.7%
6.5 2
 
8.7%
15.0 1
 
4.3%
6.2 1
 
4.3%
6.0 1
 
4.3%
13.0 1
 
4.3%
16.5 1
 
4.3%
Other values (5) 5
21.7%
ValueCountFrequency (%)
3.3 1
 
4.3%
3.5 1
 
4.3%
3.7 1
 
4.3%
5.5 1
 
4.3%
6.0 1
 
4.3%
6.2 1
 
4.3%
6.5 2
8.7%
6.6 1
 
4.3%
7.0 3
13.0%
8.0 2
8.7%
ValueCountFrequency (%)
17.0 2
8.7%
16.5 1
 
4.3%
15.0 1
 
4.3%
13.0 1
 
4.3%
10.0 4
17.4%
8.0 2
8.7%
7.0 3
13.0%
6.6 1
 
4.3%
6.5 2
8.7%
6.2 1
 
4.3%

설치기관
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:28:37.486524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.6521739
Min length3

Characters and Unicode

Total characters130
Distinct characters74
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

Unique21 ?
Unique (%)91.3%

Sample

1st row양천구청
2nd row양천구청
3rd row양천경찰서
4th row남부지방법원
5th row양천세무서
ValueCountFrequency (%)
양천구청 2
 
7.7%
kt 2
 
7.7%
양천경찰서 1
 
3.8%
부영그린타운 1
 
3.8%
현대드림타워 1
 
3.8%
양천차고지 1
 
3.8%
메디컬센터 1
 
3.8%
목동아이스링크 1
 
3.8%
정보센터 1
 
3.8%
목동타워 1
 
3.8%
Other values (14) 14
53.8%
2023-12-12T22:28:37.815154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 6
 
4.6%
천 6
 
4.6%
타 5
 
3.8%
원 4
 
3.1%
대 4
 
3.1%
4
 
3.1%
서 3
 
2.3%
워 3
 
2.3%
지 3
 
2.3%
목 3
 
2.3%
Other values (64) 89
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
89.2%
Uppercase Letter 7
 
5.4%
Space Separator 4
 
3.1%
Decimal Number 3
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 6
 
5.2%
천 6
 
5.2%
타 5
 
4.3%
원 4
 
3.4%
대 4
 
3.4%
서 3
 
2.6%
워 3
 
2.6%
지 3
 
2.6%
목 3
 
2.6%
동 3
 
2.6%
Other values (56) 76
65.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
K 2
28.6%
S 2
28.6%
B 1
14.3%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
1 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
89.2%
Common 7
 
5.4%
Latin 7
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 6
 
5.2%
천 6
 
5.2%
타 5
 
4.3%
원 4
 
3.4%
대 4
 
3.4%
서 3
 
2.6%
워 3
 
2.6%
지 3
 
2.6%
목 3
 
2.6%
동 3
 
2.6%
Other values (56) 76
65.5%
Common
ValueCountFrequency (%)
4
57.1%
4 1
 
14.3%
1 1
 
14.3%
3 1
 
14.3%
Latin
ValueCountFrequency (%)
T 2
28.6%
K 2
28.6%
S 2
28.6%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
89.2%
ASCII 14
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 6
 
5.2%
천 6
 
5.2%
타 5
 
4.3%
원 4
 
3.4%
대 4
 
3.4%
서 3
 
2.6%
워 3
 
2.6%
지 3
 
2.6%
목 3
 
2.6%
동 3
 
2.6%
Other values (56) 76
65.5%
ASCII
ValueCountFrequency (%)
4
28.6%
T 2
14.3%
K 2
14.3%
S 2
14.3%
4 1
 
7.1%
1 1
 
7.1%
B 1
 
7.1%
3 1
 
7.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-08-15
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-15
2nd row2023-08-15
3rd row2023-08-15
4th row2023-08-15
5th row2023-08-15

Common Values

ValueCountFrequency (%)
2023-08-15 23
100.0%

Length

2023-12-12T22:28:37.953312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:28:38.048685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-15 23
100.0%

Interactions

2023-12-12T22:28:35.652063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:28:38.116150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설 구분시설형태설치 위치규모(제곱미터)설치기관
시설 구분1.0000.1451.0000.0001.000
시설형태0.1451.0001.0000.6971.000
설치 위치1.0001.0001.0001.0001.000
규모(제곱미터)0.0000.6971.0001.0001.000
설치기관1.0001.0001.0001.0001.000
2023-12-12T22:28:38.213418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설 구분시설형태
시설 구분1.0000.138
시설형태0.1381.000
2023-12-12T22:28:38.280935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모(제곱미터)시설 구분시설형태
규모(제곱미터)1.0000.0000.438
시설 구분0.0001.0000.138
시설형태0.4380.1381.000

Missing values

2023-12-12T22:28:35.787819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:28:35.921214image/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

자치구시설 구분시설형태설치 위치규모(제곱미터)설치기관데이터기준일자
0양천구청사완전개방형양천구청 부지8.0양천구청2023-08-15
1양천구청사완전개방형해누리타운 4층 옥외정원8.0양천구청2023-08-15
2양천구청사완전개방형양천경찰서 부지10.0양천경찰서2023-08-15
3양천구청사개방형남부지방법원 후문 옆17.0남부지방법원2023-08-15
4양천구청사개방형양천세무서 부지 우측10.0양천세무서2023-08-15
5양천구청사개방형서울시 출입국관리사무소 부지10.0출입국관리사무소2023-08-15
6양천구청사개방형법무복지공단 부지7.0법무복지공단2023-08-15
7양천구의료기관개방형이대목동병원 부지17.0이대목동병원2023-08-15
8양천구의료기관개방형홍익병원 옥상7.0홍익병원2023-08-15
9양천구의료기관개방형서남병원 부지7.0서남병원2023-08-15
자치구시설 구분시설형태설치 위치규모(제곱미터)설치기관데이터기준일자
13양천구대형건물개방형양천벤처타운 부지6.0양천벤처타운2023-08-15
14양천구대형건물개방형현대41타워 부지13.0현대41타워2023-08-15
15양천구대형건물개방형SBS 부지16.5SBS2023-08-15
16양천구대형건물개방형KT 목동타워 부지3.5KT 목동타워2023-08-15
17양천구대형건물개방형KT 정보센터 부지3.3KT 정보센터2023-08-15
18양천구체육시설개방형목동아이스링크 부지6.5목동아이스링크2023-08-15
19양천구대형건물개방형메디컬센터 옥상5.5메디컬센터2023-08-15
20양천구대형건물개방형양천차고지 1층3.7양천차고지2023-08-15
21양천구대형건물완전개방형현대드림타워 후문 부지6.6현대드림타워2023-08-15
22양천구금연공동주택완전개방형부영그린타운 3차 부지6.5부영그린타운 3차2023-08-15