Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells9
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description인천광역시 서구 고압가스 냉동제조 시설에 대한 데이터로 구분, 상호, 도로명 주소, 전화번호 등의 항목을 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090772/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 9 (28.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:21:11.767019
Analysis finished2023-12-12 22:21:12.598763
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T07:21:12.675146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-13T07:21:12.830782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

구분
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
고압가스 냉동제조 허가시설
13 
고압가스 냉동제조 신고시설
11 
고압가스 냉동제조 허가 및 신고시설
8 

Length

Max length19
Median length14
Mean length15.25
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고압가스 냉동제조 허가시설
2nd row고압가스 냉동제조 허가 및 신고시설
3rd row고압가스 냉동제조 허가시설
4th row고압가스 냉동제조 허가 및 신고시설
5th row고압가스 냉동제조 허가시설

Common Values

ValueCountFrequency (%)
고압가스 냉동제조 허가시설 13
40.6%
고압가스 냉동제조 신고시설 11
34.4%
고압가스 냉동제조 허가 및 신고시설 8
25.0%

Length

2023-12-13T07:21:12.985670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:21:13.095617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스 32
28.6%
냉동제조 32
28.6%
신고시설 19
17.0%
허가시설 13
11.6%
허가 8
 
7.1%
및 8
 
7.1%

상호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:21:13.317194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length8.46875
Min length4

Characters and Unicode

Total characters271
Distinct characters106
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row(주)머큐리
2nd row(주)사조대림 인천공장
3rd row(주)동진쎄미켐
4th row서천재단(은혜병원)
5th row(주)삼양사
ValueCountFrequency (%)
한국환경공단 2
 
5.6%
주)맥서브 2
 
5.6%
인천서비스센터 1
 
2.8%
포스코에너지(주 1
 
2.8%
주)케이엠앤아이 1
 
2.8%
핸즈코퍼레이션(주 1
 
2.8%
대명아이티에스(주 1
 
2.8%
한일시멘트(주)서인천공장 1
 
2.8%
현대자동차(주 1
 
2.8%
이경화학(주 1
 
2.8%
Other values (24) 24
66.7%
2023-12-13T07:21:13.688066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 25
 
9.2%
( 25
 
9.2%
주 24
 
8.9%
이 8
 
3.0%
서 7
 
2.6%
인 7
 
2.6%
천 6
 
2.2%
한 6
 
2.2%
국 5
 
1.8%
5
 
1.8%
Other values (96) 153
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
79.0%
Close Punctuation 25
 
9.2%
Open Punctuation 25
 
9.2%
Space Separator 5
 
1.8%
Other Symbol 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
11.2%
이 8
 
3.7%
서 7
 
3.3%
인 7
 
3.3%
천 6
 
2.8%
한 6
 
2.8%
국 5
 
2.3%
공 5
 
2.3%
스 4
 
1.9%
경 4
 
1.9%
Other values (92) 138
64.5%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
79.7%
Common 55
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
11.1%
이 8
 
3.7%
서 7
 
3.2%
인 7
 
3.2%
천 6
 
2.8%
한 6
 
2.8%
국 5
 
2.3%
공 5
 
2.3%
스 4
 
1.9%
경 4
 
1.9%
Other values (93) 140
64.8%
Common
ValueCountFrequency (%)
) 25
45.5%
( 25
45.5%
5
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
79.0%
ASCII 55
 
20.3%
None 2
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 25
45.5%
( 25
45.5%
5
 
9.1%
Hangul
ValueCountFrequency (%)
주 24
 
11.2%
이 8
 
3.7%
서 7
 
3.3%
인 7
 
3.3%
천 6
 
2.8%
한 6
 
2.8%
국 5
 
2.3%
공 5
 
2.3%
스 4
 
1.9%
경 4
 
1.9%
Other values (92) 138
64.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명주소
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T07:21:13.932267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length22.78125
Min length15

Characters and Unicode

Total characters729
Distinct characters65
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row인천광역시 서구 가재울로 90 (가좌동)
2nd row인천광역시 서구 봉수대로 126 (가좌동)
3rd row인천광역시 서구 백범로 644 (가좌동)
4th row인천광역시 서구 심곡로132번길 21 (심곡동)
5th row인천광역시 서구 백범로 726 (가좌동)
ValueCountFrequency (%)
인천광역시 32
21.3%
서구 32
21.3%
가좌동 8
 
5.3%
백범로 4
 
2.7%
원창동 4
 
2.7%
오류동 3
 
2.0%
환경로 3
 
2.0%
21 2
 
1.3%
석남동 2
 
1.3%
심곡동 2
 
1.3%
Other values (53) 58
38.7%
2023-12-13T07:21:14.296716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
17.6%
서 37
 
5.1%
천 33
 
4.5%
인 32
 
4.4%
광 32
 
4.4%
역 32
 
4.4%
시 32
 
4.4%
구 32
 
4.4%
동 31
 
4.3%
로 29
 
4.0%
Other values (55) 311
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
58.4%
Space Separator 128
 
17.6%
Decimal Number 113
 
15.5%
Close Punctuation 28
 
3.8%
Open Punctuation 28
 
3.8%
Dash Punctuation 5
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
 
8.7%
천 33
 
7.7%
인 32
 
7.5%
광 32
 
7.5%
역 32
 
7.5%
시 32
 
7.5%
구 32
 
7.5%
동 31
 
7.3%
로 29
 
6.8%
가 14
 
3.3%
Other values (40) 122
28.6%
Decimal Number
ValueCountFrequency (%)
1 26
23.0%
2 17
15.0%
4 15
13.3%
5 15
13.3%
6 10
 
8.8%
3 9
 
8.0%
8 7
 
6.2%
0 6
 
5.3%
9 4
 
3.5%
7 4
 
3.5%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 426
58.4%
Common 303
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
 
8.7%
천 33
 
7.7%
인 32
 
7.5%
광 32
 
7.5%
역 32
 
7.5%
시 32
 
7.5%
구 32
 
7.5%
동 31
 
7.3%
로 29
 
6.8%
가 14
 
3.3%
Other values (40) 122
28.6%
Common
ValueCountFrequency (%)
128
42.2%
) 28
 
9.2%
( 28
 
9.2%
1 26
 
8.6%
2 17
 
5.6%
4 15
 
5.0%
5 15
 
5.0%
6 10
 
3.3%
3 9
 
3.0%
8 7
 
2.3%
Other values (5) 20
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 426
58.4%
ASCII 303
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
42.2%
) 28
 
9.2%
( 28
 
9.2%
1 26
 
8.6%
2 17
 
5.6%
4 15
 
5.0%
5 15
 
5.0%
6 10
 
3.3%
3 9
 
3.0%
8 7
 
2.3%
Other values (5) 20
 
6.6%
Hangul
ValueCountFrequency (%)
서 37
 
8.7%
천 33
 
7.7%
인 32
 
7.5%
광 32
 
7.5%
역 32
 
7.5%
시 32
 
7.5%
구 32
 
7.5%
동 31
 
7.3%
로 29
 
6.8%
가 14
 
3.3%
Other values (40) 122
28.6%

전화번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing9
Missing (%)28.1%
Memory size388.0 B
2023-12-13T07:21:14.505121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row032-580-3953
2nd row032-570-0352
3rd row032-578-5091
4th row032-523-2268
5th row032-570-8013
ValueCountFrequency (%)
032-580-3953 1
 
4.3%
032-571-1955 1
 
4.3%
032-580-5163 1
 
4.3%
032-715-7408 1
 
4.3%
032-573-9200 1
 
4.3%
032-578-2350 1
 
4.3%
032-578-7255 1
 
4.3%
032-584-9819 1
 
4.3%
032-870-1400 1
 
4.3%
032-577-7781 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T07:21:14.809768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
0 45
16.3%
2 38
13.8%
3 36
13.0%
5 33
12.0%
7 24
8.7%
8 17
 
6.2%
1 13
 
4.7%
9 11
 
4.0%
6 7
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
19.6%
2 38
16.5%
3 36
15.7%
5 33
14.3%
7 24
10.4%
8 17
 
7.4%
1 13
 
5.7%
9 11
 
4.8%
6 7
 
3.0%
4 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
0 45
16.3%
2 38
13.8%
3 36
13.0%
5 33
12.0%
7 24
8.7%
8 17
 
6.2%
1 13
 
4.7%
9 11
 
4.0%
6 7
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
0 45
16.3%
2 38
13.8%
3 36
13.0%
5 33
12.0%
7 24
8.7%
8 17
 
6.2%
1 13
 
4.7%
9 11
 
4.0%
6 7
 
2.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-09-01
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-01
2nd row2022-09-01
3rd row2022-09-01
4th row2022-09-01
5th row2022-09-01

Common Values

ValueCountFrequency (%)
2022-09-01 32
100.0%

Length

2023-12-13T07:21:14.930146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:21:15.022719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-01 32
100.0%

Interactions

2023-12-13T07:21:12.026963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:21:15.092342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분상호도로명주소전화번호
연번1.0000.7170.9850.9071.000
구분0.7171.0000.8970.8971.000
상호0.9850.8971.0000.9971.000
도로명주소0.9070.8970.9971.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-13T07:21:15.196379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.497
구분0.4971.000

Missing values

2023-12-13T07:21:12.421921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:21:12.554681image/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

연번구분상호도로명주소전화번호데이터기준일자
01고압가스 냉동제조 허가시설(주)머큐리인천광역시 서구 가재울로 90 (가좌동)032-580-39532022-09-01
12고압가스 냉동제조 허가 및 신고시설(주)사조대림 인천공장인천광역시 서구 봉수대로 126 (가좌동)032-570-03522022-09-01
23고압가스 냉동제조 허가시설(주)동진쎄미켐인천광역시 서구 백범로 644 (가좌동)032-578-50912022-09-01
34고압가스 냉동제조 허가 및 신고시설서천재단(은혜병원)인천광역시 서구 심곡로132번길 21 (심곡동)032-523-22682022-09-01
45고압가스 냉동제조 허가시설(주)삼양사인천광역시 서구 백범로 726 (가좌동)032-570-80132022-09-01
56고압가스 냉동제조 허가 및 신고시설(주)경인양행인천광역시 서구 건지로 199 (석남동)032-571-74982022-09-01
67고압가스 냉동제조 허가 및 신고시설국립생물자원관인천광역시 서구 환경로 42 (경서동)032-560-70922022-09-01
78고압가스 냉동제조 허가 및 신고시설(주)한화인천광역시 서구 북항로 268 (원창동)032-573-74782022-09-01
89고압가스 냉동제조 허가시설롯데쇼핑(주) 롯데마트사업본부인천광역시 서구 원당대로 581 (마전동)032-560-25002022-09-01
910고압가스 냉동제조 허가시설한국서부발전(주)서인천발전본부인천광역시 서구 장도로 57 (경서동)032-580-22922022-09-01
연번구분상호도로명주소전화번호데이터기준일자
2223고압가스 냉동제조 신고시설대명아이티에스(주)인천광역시 서구 가남로 55 (가좌동)032-584-98192022-09-01
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2829고압가스 냉동제조 허가시설㈜에이렘인천광역시 서구 오류동 1578-2<NA>2022-09-01
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3031고압가스 냉동제조 신고시설인천교통공사인천광역시 서구 길주로 106-1(석남동)<NA>2022-09-01
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