Overview

Dataset statistics

Number of variables3
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory25.9 B

Variable types

Numeric1
Text2

Dataset

Description전북특별자치도 익산시 관 내 읍면동에 등록되어 있는 주유소의 업소명과 도로명 주소와 같은 주유소에 대한 자료를 제공하고 있습니다.
Author전북특별자치도 익산시
URLhttps://www.data.go.kr/data/3079179/fileData.do

Alerts

순번 has unique valuesUnique
주유소명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:06:47.137148
Analysis finished2024-03-14 19:06:48.142746
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73
Minimum1
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T04:06:48.359066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.2
Q137
median73
Q3109
95-th percentile137.8
Maximum145
Range144
Interquartile range (IQR)72

Descriptive statistics

Standard deviation42.001984
Coefficient of variation (CV)0.57536964
Kurtosis-1.2
Mean73
Median Absolute Deviation (MAD)36
Skewness0
Sum10585
Variance1764.1667
MonotonicityStrictly increasing
2024-03-15T04:06:48.713051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
110 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
Other values (135) 135
93.1%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%

주유소명
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T04:06:49.887233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length5
Mean length6.4965517
Min length5

Characters and Unicode

Total characters942
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)100.0%

Sample

1st row미소주유소
2nd row우리유통(주)여산(상)주유소
3rd row우리유통(주)
4th row정직한주유소
5th row한신주유소
ValueCountFrequency (%)
주유소 3
 
1.9%
현대오일뱅크(주)직영 2
 
1.3%
미소주유소 1
 
0.6%
영화주유소 1
 
0.6%
동양주유소 1
 
0.6%
조은주유소 1
 
0.6%
석촌주유소 1
 
0.6%
서익산농업협동조합 1
 
0.6%
대한에너지㈜ 1
 
0.6%
송산주유소 1
 
0.6%
Other values (141) 141
91.6%
2024-03-15T04:06:51.759794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
16.0%
147
 
15.6%
141
 
15.0%
17
 
1.8%
( 17
 
1.8%
) 17
 
1.8%
15
 
1.6%
14
 
1.5%
13
 
1.4%
11
 
1.2%
Other values (190) 399
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 878
93.2%
Open Punctuation 17
 
1.8%
Close Punctuation 17
 
1.8%
Space Separator 10
 
1.1%
Decimal Number 10
 
1.1%
Uppercase Letter 5
 
0.5%
Lowercase Letter 3
 
0.3%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
151
17.2%
147
16.7%
141
16.1%
17
 
1.9%
15
 
1.7%
14
 
1.6%
13
 
1.5%
11
 
1.3%
9
 
1.0%
8
 
0.9%
Other values (171) 352
40.1%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
6 2
20.0%
2 2
20.0%
0 1
 
10.0%
8 1
 
10.0%
5 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
20.0%
C 1
20.0%
S 1
20.0%
K 1
20.0%
O 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
i 1
33.3%
o 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 879
93.3%
Common 55
 
5.8%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
151
17.2%
147
16.7%
141
 
16.0%
17
 
1.9%
15
 
1.7%
14
 
1.6%
13
 
1.5%
11
 
1.3%
9
 
1.0%
8
 
0.9%
Other values (172) 353
40.2%
Common
ValueCountFrequency (%)
( 17
30.9%
) 17
30.9%
10
18.2%
1 3
 
5.5%
6 2
 
3.6%
2 2
 
3.6%
0 1
 
1.8%
8 1
 
1.8%
- 1
 
1.8%
5 1
 
1.8%
Latin
ValueCountFrequency (%)
I 1
12.5%
C 1
12.5%
l 1
12.5%
i 1
12.5%
o 1
12.5%
S 1
12.5%
K 1
12.5%
O 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 878
93.2%
ASCII 63
 
6.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
151
17.2%
147
16.7%
141
16.1%
17
 
1.9%
15
 
1.7%
14
 
1.6%
13
 
1.5%
11
 
1.3%
9
 
1.0%
8
 
0.9%
Other values (171) 352
40.1%
ASCII
ValueCountFrequency (%)
( 17
27.0%
) 17
27.0%
10
15.9%
1 3
 
4.8%
6 2
 
3.2%
2 2
 
3.2%
I 1
 
1.6%
C 1
 
1.6%
0 1
 
1.6%
8 1
 
1.6%
Other values (8) 8
12.7%
None
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T04:06:53.410269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length54
Mean length36.668966
Min length25

Characters and Unicode

Total characters5317
Distinct characters131
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

Unique145 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 익산시 익산대로 121 (창인동 2가 1-228)
2nd row전북특별자치도 익산시 여산면 호남고속도로 1636 (호산리 210-8)
3rd row전북특별자치도 익산시 여산면 호남고속도로 1671 (호산리 220)
4th row전북특별자치도 익산시 익산대로 90 (평화동 132 - 14)
5th row전북특별자치도 익산시 선화로 516 (신흥동 400 - 14)
ValueCountFrequency (%)
익산시 175
 
16.1%
전북특별자치도 174
 
16.0%
45
 
4.1%
무왕로 24
 
2.2%
익산대로 19
 
1.7%
2 12
 
1.1%
서동로 9
 
0.8%
함열읍 8
 
0.7%
여산면 8
 
0.7%
신동 8
 
0.7%
Other values (409) 604
55.6%
2024-03-15T04:06:55.543414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
942
 
17.7%
221
 
4.2%
1 202
 
3.8%
195
 
3.7%
184
 
3.5%
179
 
3.4%
175
 
3.3%
175
 
3.3%
175
 
3.3%
175
 
3.3%
Other values (121) 2694
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2862
53.8%
Decimal Number 1071
 
20.1%
Space Separator 942
 
17.7%
Close Punctuation 144
 
2.7%
Open Punctuation 144
 
2.7%
Dash Punctuation 141
 
2.7%
Other Punctuation 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
 
7.7%
195
 
6.8%
184
 
6.4%
179
 
6.3%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
Other values (106) 1033
36.1%
Decimal Number
ValueCountFrequency (%)
1 202
18.9%
2 169
15.8%
4 108
10.1%
3 107
10.0%
6 94
8.8%
0 90
8.4%
7 86
8.0%
8 86
8.0%
5 78
 
7.3%
9 51
 
4.8%
Space Separator
ValueCountFrequency (%)
942
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2862
53.8%
Common 2455
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
 
7.7%
195
 
6.8%
184
 
6.4%
179
 
6.3%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
Other values (106) 1033
36.1%
Common
ValueCountFrequency (%)
942
38.4%
1 202
 
8.2%
2 169
 
6.9%
) 144
 
5.9%
( 144
 
5.9%
- 141
 
5.7%
4 108
 
4.4%
3 107
 
4.4%
6 94
 
3.8%
0 90
 
3.7%
Other values (5) 314
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2862
53.8%
ASCII 2455
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
942
38.4%
1 202
 
8.2%
2 169
 
6.9%
) 144
 
5.9%
( 144
 
5.9%
- 141
 
5.7%
4 108
 
4.4%
3 107
 
4.4%
6 94
 
3.8%
0 90
 
3.7%
Other values (5) 314
 
12.8%
Hangul
ValueCountFrequency (%)
221
 
7.7%
195
 
6.8%
184
 
6.4%
179
 
6.3%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
175
 
6.1%
Other values (106) 1033
36.1%

Interactions

2024-03-15T04:06:47.443349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T04:06:47.790517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:06:48.042493image/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

순번주유소명도로명주소
01미소주유소전북특별자치도 익산시 익산대로 121 (창인동 2가 1-228)
12우리유통(주)여산(상)주유소전북특별자치도 익산시 여산면 호남고속도로 1636 (호산리 210-8)
23우리유통(주)전북특별자치도 익산시 여산면 호남고속도로 1671 (호산리 220)
34정직한주유소전북특별자치도 익산시 익산대로 90 (평화동 132 - 14)
45한신주유소전북특별자치도 익산시 선화로 516 (신흥동 400 - 14)
56목천주유소전북특별자치도 익산시 번영로 2054 (목천동 441 -2)
67신광주유소전북특별자치도 익산시 황등면 황등로 216 (황등리 740)
78익산서린셀프주유소전북특별자치도 익산시 무왕로 1474 (팔봉동 369 - 3)
89대영주유소전북특별자치도 익산시 여산면 가람로 398 (여산리 330-1)
910공열주유소전북특별자치도 익산시 황등면 황등로 22 (황등리 198 - 1)
순번주유소명도로명주소
135136싱글벙글주유소전북특별자치도 익산시 익산대로 343 (모현동 2가22-1)
136137구도일주유소 배산공원전북특별자치도 익산시 동서로 30 (모현동2가602)
137138하림제일주유소전북특별자치도 익산시 함낭로 1267(전북특별자치도 익산시 낭산면 석천리 692-1, 690-3)
138139무왕주유소전북특별자치도 익산시 삼기면 황금로 666 (용연리 3-14)
139140(주)동양실업해외관광 석암지점전북특별자치도 익산시 석암로 142 (석암동 404-6)
140141율촌주유소전북특별자치도 익산시 황등면 황금로 124 (율촌리)
141142망성농협클린주유소전북특별자치도 익산시 망성면 무네미길 88 (신작리527-3)
142143성수주유소전북특별자치도 익산시 왕궁면 흥암1길 56(흥암리 563-1)
143144익산IC주유소전북특별자치도 익산시 금마면 무왕로 2022(동고도리 35-11)
144145(유)풍차주유소전북특별자치도 익산시 왕궁면 무왕로 2180(동촌리 9001)