Overview

Dataset statistics

Number of variables7
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory60.9 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description김천시 내 현재 영업 중인 주유소에 대한 데이터로 주유소의 주소 및 전화번호를 제공하여 관내 주유소의 정보에 대한 접근성을 높이고자 합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15126810/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:21:14.543585
Analysis finished2024-03-14 19:21:18.131663
Duration3.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-03-15T04:21:18.359989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2024-03-15T04:21:18.906739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

상호명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-03-15T04:21:20.100971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length5
Mean length6.884058
Min length3

Characters and Unicode

Total characters475
Distinct characters120
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

Unique69 ?
Unique (%)100.0%

Sample

1st row(주)씨에스에너지 샛별주유소
2nd row감로화주유소
3rd row감문주유소
4th row감천주유소
5th row감포주유소
ValueCountFrequency (%)
주식회사 2
 
2.6%
에스피씨삼립 2
 
2.6%
송곡주유소 1
 
1.3%
어모주유소 1
 
1.3%
전광주유소 1
 
1.3%
율곡행복주유소 1
 
1.3%
율곡이룸주유소 1
 
1.3%
유래주유소 1
 
1.3%
우성주유소 1
 
1.3%
영풍주유소 1
 
1.3%
Other values (66) 66
84.6%
2024-03-15T04:21:21.824825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 71
 
14.9%
소 68
 
14.3%
유 68
 
14.3%
천 15
 
3.2%
김 12
 
2.5%
9
 
1.9%
( 6
 
1.3%
산 6
 
1.3%
) 6
 
1.3%
아 5
 
1.1%
Other values (110) 209
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
93.9%
Space Separator 9
 
1.9%
Open Punctuation 6
 
1.3%
Close Punctuation 6
 
1.3%
Uppercase Letter 4
 
0.8%
Other Symbol 2
 
0.4%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 71
 
15.9%
소 68
 
15.2%
유 68
 
15.2%
천 15
 
3.4%
김 12
 
2.7%
산 6
 
1.3%
아 5
 
1.1%
성 5
 
1.1%
대 5
 
1.1%
사 5
 
1.1%
Other values (102) 186
41.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
I 2
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
94.3%
Common 23
 
4.8%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 71
 
15.8%
소 68
 
15.2%
유 68
 
15.2%
천 15
 
3.3%
김 12
 
2.7%
산 6
 
1.3%
아 5
 
1.1%
성 5
 
1.1%
대 5
 
1.1%
사 5
 
1.1%
Other values (103) 188
42.0%
Common
ValueCountFrequency (%)
9
39.1%
( 6
26.1%
) 6
26.1%
1 1
 
4.3%
2 1
 
4.3%
Latin
ValueCountFrequency (%)
C 2
50.0%
I 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
93.9%
ASCII 27
 
5.7%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 71
 
15.9%
소 68
 
15.2%
유 68
 
15.2%
천 15
 
3.4%
김 12
 
2.7%
산 6
 
1.3%
아 5
 
1.1%
성 5
 
1.1%
대 5
 
1.1%
사 5
 
1.1%
Other values (102) 186
41.7%
ASCII
ValueCountFrequency (%)
9
33.3%
( 6
22.2%
) 6
22.2%
C 2
 
7.4%
I 2
 
7.4%
1 1
 
3.7%
2 1
 
3.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명주소
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-03-15T04:21:23.013578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.014493
Min length18

Characters and Unicode

Total characters1519
Distinct characters85
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

Unique69 ?
Unique (%)100.0%

Sample

1st row경상북도 김천시 아포읍 아포대로 696
2nd row경상북도 김천시 봉산면 영남대로 776
3rd row경상북도 김천시 감문면 감문로 1071
4th row경상북도 김천시 감천면 무안로 6
5th row경상북도 김천시 감문면 김선로697
ValueCountFrequency (%)
경상북도 69
20.1%
김천시 69
20.1%
영남대로 18
 
5.2%
아포읍 8
 
2.3%
아포대로 8
 
2.3%
남김천대로 6
 
1.7%
봉산면 6
 
1.7%
덕곡동 5
 
1.5%
부곡동 5
 
1.5%
시청로 5
 
1.5%
Other values (110) 145
42.2%
2024-03-15T04:21:24.470788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
18.2%
천 79
 
5.2%
김 77
 
5.1%
경 74
 
4.9%
시 74
 
4.9%
도 73
 
4.8%
상 69
 
4.5%
북 69
 
4.5%
로 65
 
4.3%
1 44
 
2.9%
Other values (75) 619
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 943
62.1%
Space Separator 276
 
18.2%
Decimal Number 222
 
14.6%
Open Punctuation 36
 
2.4%
Close Punctuation 36
 
2.4%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 79
 
8.4%
김 77
 
8.2%
경 74
 
7.8%
시 74
 
7.8%
도 73
 
7.7%
상 69
 
7.3%
북 69
 
7.3%
로 65
 
6.9%
대 35
 
3.7%
동 35
 
3.7%
Other values (61) 293
31.1%
Decimal Number
ValueCountFrequency (%)
1 44
19.8%
2 29
13.1%
3 24
10.8%
4 23
10.4%
5 23
10.4%
6 20
9.0%
0 19
8.6%
9 18
8.1%
7 14
 
6.3%
8 8
 
3.6%
Space Separator
ValueCountFrequency (%)
276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 943
62.1%
Common 576
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 79
 
8.4%
김 77
 
8.2%
경 74
 
7.8%
시 74
 
7.8%
도 73
 
7.7%
상 69
 
7.3%
북 69
 
7.3%
로 65
 
6.9%
대 35
 
3.7%
동 35
 
3.7%
Other values (61) 293
31.1%
Common
ValueCountFrequency (%)
276
47.9%
1 44
 
7.6%
( 36
 
6.2%
) 36
 
6.2%
2 29
 
5.0%
3 24
 
4.2%
4 23
 
4.0%
5 23
 
4.0%
6 20
 
3.5%
0 19
 
3.3%
Other values (4) 46
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 943
62.1%
ASCII 576
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
47.9%
1 44
 
7.6%
( 36
 
6.2%
) 36
 
6.2%
2 29
 
5.0%
3 24
 
4.2%
4 23
 
4.0%
5 23
 
4.0%
6 20
 
3.5%
0 19
 
3.3%
Other values (4) 46
 
8.0%
Hangul
ValueCountFrequency (%)
천 79
 
8.4%
김 77
 
8.2%
경 74
 
7.8%
시 74
 
7.8%
도 73
 
7.7%
상 69
 
7.3%
북 69
 
7.3%
로 65
 
6.9%
대 35
 
3.7%
동 35
 
3.7%
Other values (61) 293
31.1%

위도
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.122422
Minimum35.899009
Maximum36.214497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-03-15T04:21:25.111487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.899009
5-th percentile36.000155
Q136.117796
median36.129044
Q336.155002
95-th percentile36.194126
Maximum36.214497
Range0.31548819
Interquartile range (IQR)0.03720569

Descriptive statistics

Standard deviation0.057643753
Coefficient of variation (CV)0.0015957887
Kurtosis5.3587873
Mean36.122422
Median Absolute Deviation (MAD)0.01732684
Skewness-2.0277467
Sum2492.4471
Variance0.0033228022
MonotonicityNot monotonic
2024-03-15T04:21:25.479967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.15645484 1
 
1.4%
36.09897862 1
 
1.4%
36.12246754 1
 
1.4%
36.11295116 1
 
1.4%
36.11853588 1
 
1.4%
36.13064317 1
 
1.4%
36.12298695 1
 
1.4%
36.19608333 1
 
1.4%
36.15759389 1
 
1.4%
36.12561065 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
35.89900868 1
1.4%
35.91970905 1
1.4%
35.95169112 1
1.4%
35.98009777 1
1.4%
36.03024193 1
1.4%
36.04784828 1
1.4%
36.050259 1
1.4%
36.06065464 1
1.4%
36.08945169 1
1.4%
36.09106144 1
1.4%
ValueCountFrequency (%)
36.21449687 1
1.4%
36.20099258 1
1.4%
36.19902783 1
1.4%
36.19608333 1
1.4%
36.19118958 1
1.4%
36.18957288 1
1.4%
36.18025319 1
1.4%
36.16889095 1
1.4%
36.16542704 1
1.4%
36.15982443 1
1.4%

경도
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.12823
Minimum127.97142
Maximum128.29497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-03-15T04:21:25.827401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.97142
5-th percentile128.00733
Q1128.09649
median128.11973
Q3128.17733
95-th percentile128.2482
Maximum128.29497
Range0.3235526
Interquartile range (IQR)0.0808411

Descriptive statistics

Standard deviation0.069896661
Coefficient of variation (CV)0.00054552117
Kurtosis-0.17992492
Mean128.12823
Median Absolute Deviation (MAD)0.0423591
Skewness0.06167758
Sum8840.8479
Variance0.0048855433
MonotonicityNot monotonic
2024-03-15T04:21:26.224695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.2040643 1
 
1.4%
128.1179997 1
 
1.4%
128.1814797 1
 
1.4%
128.186445 1
 
1.4%
128.1576204 1
 
1.4%
128.1065262 1
 
1.4%
128.1288786 1
 
1.4%
128.109507 1
 
1.4%
128.2363093 1
 
1.4%
128.0886773 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
127.9714193 1
1.4%
128.0010691 1
1.4%
128.003182 1
1.4%
128.003877 1
1.4%
128.0125194 1
1.4%
128.0261903 1
1.4%
128.0262026 1
1.4%
128.0297341 1
1.4%
128.0412545 1
1.4%
128.0432738 1
1.4%
ValueCountFrequency (%)
128.2949719 1
1.4%
128.268681 1
1.4%
128.2562183 1
1.4%
128.2517762 1
1.4%
128.2428444 1
1.4%
128.2363093 1
1.4%
128.2293392 1
1.4%
128.2133696 1
1.4%
128.2122357 1
1.4%
128.2040643 1
1.4%

전화번호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-03-15T04:21:27.809722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters828
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

Unique69 ?
Unique (%)100.0%

Sample

1st row054-430-5151
2nd row054-436-7881
3rd row054-430-5160
4th row054-430-6100
5th row054-433-3384
ValueCountFrequency (%)
054-430-5151 1
 
1.4%
054-435-0229 1
 
1.4%
054-435-7117 1
 
1.4%
054-435-5902 1
 
1.4%
054-439-9900 1
 
1.4%
054-430-9978 1
 
1.4%
054-435-5659 1
 
1.4%
054-433-8470 1
 
1.4%
054-432-9011 1
 
1.4%
054-439-8285 1
 
1.4%
Other values (59) 59
85.5%
2024-03-15T04:21:29.587405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 164
19.8%
- 138
16.7%
0 125
15.1%
5 124
15.0%
3 88
10.6%
1 35
 
4.2%
2 35
 
4.2%
8 33
 
4.0%
6 31
 
3.7%
9 29
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 690
83.3%
Dash Punctuation 138
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 164
23.8%
0 125
18.1%
5 124
18.0%
3 88
12.8%
1 35
 
5.1%
2 35
 
5.1%
8 33
 
4.8%
6 31
 
4.5%
9 29
 
4.2%
7 26
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 164
19.8%
- 138
16.7%
0 125
15.1%
5 124
15.0%
3 88
10.6%
1 35
 
4.2%
2 35
 
4.2%
8 33
 
4.0%
6 31
 
3.7%
9 29
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 164
19.8%
- 138
16.7%
0 125
15.1%
5 124
15.0%
3 88
10.6%
1 35
 
4.2%
2 35
 
4.2%
8 33
 
4.0%
6 31
 
3.7%
9 29
 
3.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-02-22
69 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-22
2nd row2024-02-22
3rd row2024-02-22
4th row2024-02-22
5th row2024-02-22

Common Values

ValueCountFrequency (%)
2024-02-22 69
100.0%

Length

2024-03-15T04:21:30.029500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:30.351061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-22 69
100.0%

Interactions

2024-03-15T04:21:16.597461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:14.934162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:15.818539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:16.856544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:15.297801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:16.077961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:17.126406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:15.557812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:16.338092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:21:30.488736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소위도경도전화번호
연번1.0001.0001.0000.0000.4801.000
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0000.7201.000
경도0.4801.0001.0000.7201.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2024-03-15T04:21:30.660818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.191-0.109
위도-0.1911.0000.187
경도-0.1090.1871.000

Missing values

2024-03-15T04:21:17.478138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:21:17.967568image/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

연번상호명도로명주소위도경도전화번호데이터기준일
01(주)씨에스에너지 샛별주유소경상북도 김천시 아포읍 아포대로 69636.156455128.204064054-430-51512024-02-22
12감로화주유소경상북도 김천시 봉산면 영남대로 77636.142243128.026203054-436-78812024-02-22
23감문주유소경상북도 김천시 감문면 감문로 107136.214497128.182483054-430-51602024-02-22
34감천주유소경상북도 김천시 감천면 무안로 636.050259128.130424054-430-61002024-02-22
45감포주유소경상북도 김천시 감문면 김선로69736.19119128.229339054-433-33842024-02-22
56강변공원주유소경상북도 김천시 영남대로 1530 (부곡동)36.129853128.102903054-436-38002024-02-22
67광성주유소경상북도 김천시 시청로 239 (응명동)36.149632128.118032054-434-51882024-02-22
78교동주유소경상북도 김천시 대학로 49 (교동)36.132841128.097319054-430-22882024-02-22
89구성주유소경상북도 김천시 구성면 남김천대로 235036.030242128.043274054-434-66882024-02-22
910그린주유소경상북도 김천시 아포읍 포아로 10336.168891128.256218054-435-09082024-02-22
연번상호명도로명주소위도경도전화번호데이터기준일
5960직지주유소경상북도 김천시 봉산면 영남대로 846-636.13697128.029734054-436-32882024-02-22
6061추풍령(부산방향)주유소경상북도 김천시 경부고속도로 213-1 (봉산면)36.199028128.001069054-430-05022024-02-22
6162추풍령(서울방향)주유소경상북도 김천시 경부고속도로 214-2 (봉산면)36.200993128.003182054-430-05032024-02-22
6263코리아주유소경상북도 김천시 영남대로 1258 (다수동)36.127081128.074181054-435-00512024-02-22
6364태광주유소경상북도 김천시 지례면 남김천대로 172535.980098128.02619054-434-25002024-02-22
6465평화주유소경상북도 김천시 자산로 110 (성내동)36.121031128.12021054-434-23202024-02-22
6566한마음주유소경상북도 김천시 영남대로 2033 (덕곡동)36.117796128.151409054-434-52272024-02-22
6667행복한주유소경상북도 김천시 영남대로 2159 (덕곡동)36.112877128.163663054-435-51852024-02-22
6768행운주유소경상북도 김천시 영남대로 1500 (부곡동)36.128991128.099758054-432-51822024-02-22
6869황금주유소경상북도 김천시 양금로 115 (양천동)36.104898128.11973054-434-32662024-02-22