Overview

Dataset statistics

Number of variables5
Number of observations41
Missing cells2
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory44.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 고압가스사업자의 상호명, 사업구분, 주소(도로명),사업장 전화번호 에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15102464/fileData.do

Alerts

순번 is highly overall correlated with 사업구분High correlation
사업구분 is highly overall correlated with 순번High correlation
주소 has 1 (2.4%) missing valuesMissing
전화번호 has 1 (2.4%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:38:21.324038
Analysis finished2023-12-11 23:38:22.123669
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T08:38:22.203393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-12T08:38:22.388286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

사업구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
냉동제조
28 
저장소
4 
충전제조
3 
판매소
3 
일반제조/냉동제조/저장소
 
2

Length

Max length13
Median length4
Mean length4.3658537
Min length3

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row일반제조/냉동제조/저장소
2nd row일반제조/냉동제조/저장소
3rd row충전제조/판매소
4th row충전제조
5th row충전제조

Common Values

ValueCountFrequency (%)
냉동제조 28
68.3%
저장소 4
 
9.8%
충전제조 3
 
7.3%
판매소 3
 
7.3%
일반제조/냉동제조/저장소 2
 
4.9%
충전제조/판매소 1
 
2.4%

Length

2023-12-12T08:38:22.563614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:38:22.700151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동제조 28
68.3%
저장소 4
 
9.8%
충전제조 3
 
7.3%
판매소 3
 
7.3%
일반제조/냉동제조/저장소 2
 
4.9%
충전제조/판매소 1
 
2.4%

상호
Text

Distinct38
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T08:38:22.991466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.6097561
Min length4

Characters and Unicode

Total characters353
Distinct characters126
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)85.4%

Sample

1st row한국지엠㈜
2nd row지엠테크니컬센터코리아㈜
3rd row이화산업가스㈜
4th row아시아케미칼㈜
5th row부평소방서
ValueCountFrequency (%)
린나이코리아㈜ 2
 
3.6%
인천성모병원 2
 
3.6%
한국전력공사 2
 
3.6%
인천본부 2
 
3.6%
가톨릭대학교 2
 
3.6%
부평점 2
 
3.6%
인천광역시 2
 
3.6%
롯데쇼핑㈜롯데마트 2
 
3.6%
대덕리치아노 1
 
1.8%
청소년수련관 1
 
1.8%
Other values (37) 37
67.3%
2023-12-12T08:38:23.430699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 21
 
5.9%
부 14
 
4.0%
14
 
4.0%
평 11
 
3.1%
인 9
 
2.5%
천 9
 
2.5%
한 7
 
2.0%
대 7
 
2.0%
리 6
 
1.7%
아 6
 
1.7%
Other values (116) 249
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
87.3%
Other Symbol 21
 
5.9%
Space Separator 14
 
4.0%
Other Punctuation 4
 
1.1%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 14
 
4.5%
평 11
 
3.6%
인 9
 
2.9%
천 9
 
2.9%
한 7
 
2.3%
대 7
 
2.3%
리 6
 
1.9%
아 6
 
1.9%
가 6
 
1.9%
공 6
 
1.9%
Other values (109) 227
73.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
* 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
93.2%
Common 24
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 21
 
6.4%
부 14
 
4.3%
평 11
 
3.3%
인 9
 
2.7%
천 9
 
2.7%
한 7
 
2.1%
대 7
 
2.1%
리 6
 
1.8%
아 6
 
1.8%
가 6
 
1.8%
Other values (110) 233
70.8%
Common
ValueCountFrequency (%)
14
58.3%
* 4
 
16.7%
) 2
 
8.3%
( 2
 
8.3%
1 1
 
4.2%
2 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
87.3%
ASCII 24
 
6.8%
None 21
 
5.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 21
100.0%
Hangul
ValueCountFrequency (%)
부 14
 
4.5%
평 11
 
3.6%
인 9
 
2.9%
천 9
 
2.9%
한 7
 
2.3%
대 7
 
2.3%
리 6
 
1.9%
아 6
 
1.9%
가 6
 
1.9%
공 6
 
1.9%
Other values (109) 227
73.7%
ASCII
ValueCountFrequency (%)
14
58.3%
* 4
 
16.7%
) 2
 
8.3%
( 2
 
8.3%
1 1
 
4.2%
2 1
 
4.2%

주소
Text

MISSING 

Distinct35
Distinct (%)87.5%
Missing1
Missing (%)2.4%
Memory size460.0 B
2023-12-12T08:38:23.712919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length24.2
Min length19

Characters and Unicode

Total characters968
Distinct characters75
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)75.0%

Sample

1st row인천광역시 부평구 부평대로 233(청천동)
2nd row인천광역시 부평구 부평대로 233(청천동)
3rd row인천광역시 부평구 백범로578번길 32(십정동)
4th row인천광역시 부평구 안남로 391(청천동)
5th row인천광역시 부평구 부평대로 324(갈산동)
ValueCountFrequency (%)
인천광역시 40
23.0%
부평구 40
23.0%
부평대로 8
 
4.6%
십정동 3
 
1.7%
경원대로 3
 
1.7%
새벌로 3
 
1.7%
백범로577번길 2
 
1.1%
주부토로 2
 
1.1%
사옥 2
 
1.1%
인천본부 2
 
1.1%
Other values (57) 69
39.7%
2023-12-12T08:38:24.154659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
13.9%
부 68
 
7.0%
평 63
 
6.5%
천 53
 
5.5%
인 42
 
4.3%
동 42
 
4.3%
광 42
 
4.3%
구 41
 
4.2%
시 40
 
4.1%
역 40
 
4.1%
Other values (65) 402
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 622
64.3%
Space Separator 135
 
13.9%
Decimal Number 131
 
13.5%
Open Punctuation 39
 
4.0%
Close Punctuation 39
 
4.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 68
10.9%
평 63
10.1%
천 53
 
8.5%
인 42
 
6.8%
동 42
 
6.8%
광 42
 
6.8%
구 41
 
6.6%
시 40
 
6.4%
역 40
 
6.4%
로 39
 
6.3%
Other values (51) 152
24.4%
Decimal Number
ValueCountFrequency (%)
2 20
15.3%
3 19
14.5%
1 18
13.7%
6 16
12.2%
7 15
11.5%
5 14
10.7%
8 10
7.6%
4 10
7.6%
9 5
 
3.8%
0 4
 
3.1%
Space Separator
ValueCountFrequency (%)
135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 622
64.3%
Common 346
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 68
10.9%
평 63
10.1%
천 53
 
8.5%
인 42
 
6.8%
동 42
 
6.8%
광 42
 
6.8%
구 41
 
6.6%
시 40
 
6.4%
역 40
 
6.4%
로 39
 
6.3%
Other values (51) 152
24.4%
Common
ValueCountFrequency (%)
135
39.0%
( 39
 
11.3%
) 39
 
11.3%
2 20
 
5.8%
3 19
 
5.5%
1 18
 
5.2%
6 16
 
4.6%
7 15
 
4.3%
5 14
 
4.0%
8 10
 
2.9%
Other values (4) 21
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 622
64.3%
ASCII 346
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
39.0%
( 39
 
11.3%
) 39
 
11.3%
2 20
 
5.8%
3 19
 
5.5%
1 18
 
5.2%
6 16
 
4.6%
7 15
 
4.3%
5 14
 
4.0%
8 10
 
2.9%
Other values (4) 21
 
6.1%
Hangul
ValueCountFrequency (%)
부 68
10.9%
평 63
10.1%
천 53
 
8.5%
인 42
 
6.8%
동 42
 
6.8%
광 42
 
6.8%
구 41
 
6.6%
시 40
 
6.4%
역 40
 
6.4%
로 39
 
6.3%
Other values (51) 152
24.4%

전화번호
Text

MISSING 

Distinct35
Distinct (%)87.5%
Missing1
Missing (%)2.4%
Memory size460.0 B
2023-12-12T08:38:24.416162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique31 ?
Unique (%)77.5%

Sample

1st row032-520-2163
2nd row032-520-4043
3rd row032-578-2345
4th row032-525-1117
5th row032-723-5322
ValueCountFrequency (%)
032-500-3592 3
 
7.5%
032-570-8315 2
 
5.0%
032-512-0533 2
 
5.0%
032-280-6404 2
 
5.0%
032-509-7567 1
 
2.5%
032-526-3693 1
 
2.5%
032-500-0136 1
 
2.5%
032-720-2422 1
 
2.5%
032-451-2110 1
 
2.5%
032-870-7460 1
 
2.5%
Other values (25) 25
62.5%
2023-12-12T08:38:24.767591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88
18.3%
- 80
16.7%
2 75
15.6%
3 68
14.2%
5 50
10.4%
1 33
 
6.9%
7 25
 
5.2%
8 18
 
3.8%
4 18
 
3.8%
6 15
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
22.0%
2 75
18.8%
3 68
17.0%
5 50
12.5%
1 33
 
8.2%
7 25
 
6.2%
8 18
 
4.5%
4 18
 
4.5%
6 15
 
3.8%
9 10
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88
18.3%
- 80
16.7%
2 75
15.6%
3 68
14.2%
5 50
10.4%
1 33
 
6.9%
7 25
 
5.2%
8 18
 
3.8%
4 18
 
3.8%
6 15
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88
18.3%
- 80
16.7%
2 75
15.6%
3 68
14.2%
5 50
10.4%
1 33
 
6.9%
7 25
 
5.2%
8 18
 
3.8%
4 18
 
3.8%
6 15
 
3.1%

Interactions

2023-12-12T08:38:21.707545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:38:24.867089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업구분상호주소전화번호
순번1.0000.8060.9340.8410.797
사업구분0.8061.0000.9680.9510.936
상호0.9340.9681.0000.9760.994
주소0.8410.9510.9761.0000.997
전화번호0.7970.9360.9940.9971.000
2023-12-12T08:38:24.964313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업구분
순번1.0000.512
사업구분0.5121.000

Missing values

2023-12-12T08:38:21.848027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:38:21.957577image/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.
2023-12-12T08:38:22.063588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번사업구분상호주소전화번호
01일반제조/냉동제조/저장소한국지엠㈜인천광역시 부평구 부평대로 233(청천동)032-520-2163
12일반제조/냉동제조/저장소지엠테크니컬센터코리아㈜인천광역시 부평구 부평대로 233(청천동)032-520-4043
23충전제조/판매소이화산업가스㈜인천광역시 부평구 백범로578번길 32(십정동)032-578-2345
34충전제조아시아케미칼㈜인천광역시 부평구 안남로 391(청천동)032-525-1117
45충전제조부평소방서인천광역시 부평구 부평대로 324(갈산동)032-723-5322
56충전제조육군제****부대<NA><NA>
67냉동제조동서식품㈜1공장인천광역시 부평구 새벌로 55(청천동)032-500-3592
78냉동제조동서식품㈜2공장인천광역시 부평구 부평북로 215(청천동) 제2공장032-500-3592
89냉동제조롯데쇼핑㈜롯데마트 부평역점인천광역시 부평구 광장로 16(부평동)032-454-2580
910냉동제조대한예수교장로회주안교회인천광역시 부평구 부흥로 213(산곡동)032-590-9754
순번사업구분상호주소전화번호
3132냉동제조㈜엘지생활건강인천광역시 부평구 백범로 604번길 22 (십정동)032-870-7460
3233냉동제조린나이코리아㈜인천광역시 부평구 백범로577번길 48 (십정동)032-570-8315
3334냉동제조인천교통공사(산곡역)인천광역시 부평구 산곡동 96-11032-451-2110
3435저장소동서식품(주)인천광역시 부평구 새벌로 55(청천동)032-500-3592
3536저장소부평정수사업소인천광역시 부평구 부평대로 332(갈산동)032-720-2422
3637저장소가톨릭대학교 인천성모병원인천광역시 부평구 동수로 56(부평동)032-280-6404
3738저장소근로복지공단 인천병원인천광역시 부평구 무네미로 446(구산동)032-500-0136
3839판매소진명특수가스인천광역시 부평구 마장로 504(청천동)032-526-3693
3940판매소유성특수가스인천광역시 부평구 새벌로 71(청천동)032-517-3367
4041판매소동양가스인천광역시 부평구 서달로298번길 86-14(청천동)032-524-7901