Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory43.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산광역시_강서구_주유소및LPG충전소현황_20230516
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3045878

Alerts

상호 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:22:33.751160
Analysis finished2023-12-10 16:22:34.461830
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct41
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.960784
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T01:22:34.557526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median16
Q328.5
95-th percentile38.5
Maximum41
Range40
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.453049
Coefficient of variation (CV)0.69334662
Kurtosis-1.2326365
Mean17.960784
Median Absolute Deviation (MAD)10
Skewness0.3347324
Sum916
Variance155.07843
MonotonicityNot monotonic
2023-12-11T01:22:34.754772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 2
 
3.9%
3 2
 
3.9%
4 2
 
3.9%
5 2
 
3.9%
6 2
 
3.9%
7 2
 
3.9%
8 2
 
3.9%
9 2
 
3.9%
10 2
 
3.9%
2 2
 
3.9%
Other values (31) 31
60.8%
ValueCountFrequency (%)
1 2
3.9%
2 2
3.9%
3 2
3.9%
4 2
3.9%
5 2
3.9%
6 2
3.9%
7 2
3.9%
8 2
3.9%
9 2
3.9%
10 2
3.9%
ValueCountFrequency (%)
41 1
2.0%
40 1
2.0%
39 1
2.0%
38 1
2.0%
37 1
2.0%
36 1
2.0%
35 1
2.0%
34 1
2.0%
33 1
2.0%
32 1
2.0%

상호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:22:35.028845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length10
Min length3

Characters and Unicode

Total characters510
Distinct characters126
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row㈜지원네트웍스 부산강서LPG충전소
2nd row가락충전소
3rd row개인택시 신공항LPG충전소
4th row르노삼성자동차㈜
5th row부산공항LPG충전소
ValueCountFrequency (%)
명지주유소 2
 
2.9%
㈜우양네트웍스 2
 
2.9%
은마석유(주 2
 
2.9%
㈜지원네트웍스 1
 
1.4%
맥도주유소 1
 
1.4%
명지 1
 
1.4%
극동유화㈜고려주유소 1
 
1.4%
광신석유㈜ 1
 
1.4%
주)범방주유소 1
 
1.4%
㈜시큐 1
 
1.4%
Other values (57) 57
81.4%
2023-12-11T01:22:35.511126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 44
 
8.6%
소 43
 
8.4%
유 41
 
8.0%
지 20
 
3.9%
19
 
3.7%
㈜ 19
 
3.7%
에 16
 
3.1%
너 13
 
2.5%
항 10
 
2.0%
산 10
 
2.0%
Other values (116) 275
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
85.7%
Space Separator 19
 
3.7%
Other Symbol 19
 
3.7%
Uppercase Letter 16
 
3.1%
Close Punctuation 9
 
1.8%
Open Punctuation 9
 
1.8%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
10.1%
소 43
 
9.8%
유 41
 
9.4%
지 20
 
4.6%
에 16
 
3.7%
너 13
 
3.0%
항 10
 
2.3%
산 10
 
2.3%
대 8
 
1.8%
신 8
 
1.8%
Other values (106) 224
51.3%
Uppercase Letter
ValueCountFrequency (%)
L 4
25.0%
P 4
25.0%
G 4
25.0%
S 2
12.5%
K 2
12.5%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 456
89.4%
Common 38
 
7.5%
Latin 16
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
9.6%
소 43
 
9.4%
유 41
 
9.0%
지 20
 
4.4%
㈜ 19
 
4.2%
에 16
 
3.5%
너 13
 
2.9%
항 10
 
2.2%
산 10
 
2.2%
대 8
 
1.8%
Other values (107) 232
50.9%
Latin
ValueCountFrequency (%)
L 4
25.0%
P 4
25.0%
G 4
25.0%
S 2
12.5%
K 2
12.5%
Common
ValueCountFrequency (%)
19
50.0%
) 9
23.7%
( 9
23.7%
2 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
85.7%
ASCII 54
 
10.6%
None 19
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 44
 
10.1%
소 43
 
9.8%
유 41
 
9.4%
지 20
 
4.6%
에 16
 
3.7%
너 13
 
3.0%
항 10
 
2.3%
산 10
 
2.3%
대 8
 
1.8%
신 8
 
1.8%
Other values (106) 224
51.3%
ASCII
ValueCountFrequency (%)
19
35.2%
) 9
16.7%
( 9
16.7%
L 4
 
7.4%
P 4
 
7.4%
G 4
 
7.4%
S 2
 
3.7%
K 2
 
3.7%
2 1
 
1.9%
None
ValueCountFrequency (%)
㈜ 19
100.0%

소재지
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:22:35.775171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.5294118
Min length5

Characters and Unicode

Total characters435
Distinct characters58
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

Unique51 ?
Unique (%)100.0%

Sample

1st row낙동북로 310
2nd row호계로 195
3rd row경전철로188번길 95
4th row르노삼성대로 61
5th row공항로 459
ValueCountFrequency (%)
낙동남로 8
 
7.8%
공항로 7
 
6.9%
르노삼성대로 6
 
5.9%
낙동북로 6
 
5.9%
가락대로 5
 
4.9%
호계로 4
 
3.9%
체육공원로 2
 
2.0%
102 2
 
2.0%
507 2
 
2.0%
372 1
 
1.0%
Other values (59) 59
57.8%
2023-12-11T01:22:36.178641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
12.9%
로 49
 
11.3%
1 27
 
6.2%
2 22
 
5.1%
0 18
 
4.1%
4 17
 
3.9%
동 15
 
3.4%
대 15
 
3.4%
낙 14
 
3.2%
9 14
 
3.2%
Other values (48) 188
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
50.1%
Decimal Number 160
36.8%
Space Separator 56
 
12.9%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 49
22.5%
동 15
 
6.9%
대 15
 
6.9%
낙 14
 
6.4%
공 10
 
4.6%
남 10
 
4.6%
항 9
 
4.1%
가 8
 
3.7%
북 7
 
3.2%
락 7
 
3.2%
Other values (36) 74
33.9%
Decimal Number
ValueCountFrequency (%)
1 27
16.9%
2 22
13.8%
0 18
11.2%
4 17
10.6%
9 14
8.8%
6 14
8.8%
5 13
8.1%
7 13
8.1%
3 13
8.1%
8 9
 
5.6%
Space Separator
ValueCountFrequency (%)
56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
50.1%
Common 217
49.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 49
22.5%
동 15
 
6.9%
대 15
 
6.9%
낙 14
 
6.4%
공 10
 
4.6%
남 10
 
4.6%
항 9
 
4.1%
가 8
 
3.7%
북 7
 
3.2%
락 7
 
3.2%
Other values (36) 74
33.9%
Common
ValueCountFrequency (%)
56
25.8%
1 27
12.4%
2 22
 
10.1%
0 18
 
8.3%
4 17
 
7.8%
9 14
 
6.5%
6 14
 
6.5%
5 13
 
6.0%
7 13
 
6.0%
3 13
 
6.0%
Other values (2) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
50.1%
ASCII 217
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
25.8%
1 27
12.4%
2 22
 
10.1%
0 18
 
8.3%
4 17
 
7.8%
9 14
 
6.5%
6 14
 
6.5%
5 13
 
6.0%
7 13
 
6.0%
3 13
 
6.0%
Other values (2) 10
 
4.6%
Hangul
ValueCountFrequency (%)
로 49
22.5%
동 15
 
6.9%
대 15
 
6.9%
낙 14
 
6.4%
공 10
 
4.6%
남 10
 
4.6%
항 9
 
4.1%
가 8
 
3.7%
북 7
 
3.2%
락 7
 
3.2%
Other values (36) 74
33.9%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:22:36.421266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row051-972-0245
2nd row051-971-3430
3rd row051-941-3485
4th row051-979-9085
5th row051-973-4036
ValueCountFrequency (%)
051-972-0245 1
 
2.0%
051-972-1010 1
 
2.0%
051-973-8122 1
 
2.0%
051-973-5104 1
 
2.0%
051-973-4100 1
 
2.0%
051-973-5735 1
 
2.0%
051-941-5151 1
 
2.0%
051-971-3337 1
 
2.0%
051-271-4405 1
 
2.0%
051-201-5181 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:22:36.790574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 112
18.3%
- 102
16.7%
0 81
13.2%
5 81
13.2%
9 55
9.0%
7 48
7.8%
2 38
 
6.2%
3 34
 
5.6%
4 30
 
4.9%
8 23
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 112
22.0%
0 81
15.9%
5 81
15.9%
9 55
10.8%
7 48
9.4%
2 38
 
7.5%
3 34
 
6.7%
4 30
 
5.9%
8 23
 
4.5%
6 8
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 112
18.3%
- 102
16.7%
0 81
13.2%
5 81
13.2%
9 55
9.0%
7 48
7.8%
2 38
 
6.2%
3 34
 
5.6%
4 30
 
4.9%
8 23
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 112
18.3%
- 102
16.7%
0 81
13.2%
5 81
13.2%
9 55
9.0%
7 48
7.8%
2 38
 
6.2%
3 34
 
5.6%
4 30
 
4.9%
8 23
 
3.8%

사업종류
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
주유소
41 
LPG충전소
10 

Length

Max length6
Median length3
Mean length3.5882353
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 41
80.4%
LPG충전소 10
 
19.6%

Length

2023-12-11T01:22:36.927595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:22:37.043561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 41
80.4%
lpg충전소 10
 
19.6%

Interactions

2023-12-11T01:22:34.096409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:22:37.104858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호소재지전화번호사업종류
연번1.0001.0001.0001.0000.571
상호1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
사업종류0.5711.0001.0001.0001.000
2023-12-11T01:22:37.200037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업종류
연번1.0000.405
사업종류0.4051.000

Missing values

2023-12-11T01:22:34.278572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:22:34.414765image/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

연번상호소재지전화번호사업종류
01㈜지원네트웍스 부산강서LPG충전소낙동북로 310051-972-0245LPG충전소
12가락충전소호계로 195051-971-3430LPG충전소
23개인택시 신공항LPG충전소경전철로188번길 95051-941-3485LPG충전소
34르노삼성자동차㈜르노삼성대로 61051-979-9085LPG충전소
45부산공항LPG충전소공항로 459051-973-4036LPG충전소
56신명지에너지르노삼성대로 560051-271-2464LPG충전소
67㈜지이에스 신항만에너지충전소낙동남로 507051-973-7625LPG충전소
78㈜배성에너지 대저충전소체육공원로 24051-941-9808LPG충전소
89죽림LPG충전소호계로 102051-941-2020LPG충전소
910신항만충전소송정동 산71-2051-831-8219LPG충전소
연번상호소재지전화번호사업종류
4132녹산화물터미널주유소녹산산업북로 119051-941-3015주유소
4233대양석유(주) 한마음주유소르노삼성대로 604051-271-2452주유소
4334대양산업(주)대양가덕주유소거가대로 2571051-715-2201주유소
4435주식회사 신항만주유소가락대로1243번길 68051-973-0935주유소
4536내트럭㈜부산신항남컨사업소신항남로 507051-941-9800주유소
4637신항만에너지낙동남로 501051-973-7622주유소
4738㈜우양네트웍스 송산주유소호계로 200051-973-7583주유소
4839SK에너지㈜ 경마장주유소가락대로 1027051-971-5188주유소
4940케이에이치남해서비스주식회사(서부산주유소)남해2지선고속도로 19051-941-5155주유소
5041㈜엘에이치에너지봉림길94번길 89051-832-2290주유소