Overview

Dataset statistics

Number of variables11
Number of observations2785
Missing cells36
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory247.6 KiB
Average record size in memory91.0 B

Variable types

Text4
Numeric3
Categorical3
DateTime1

Dataset

Description요소수 중점 유통 주유소 재고 현황
Author환경부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=TA4EY1IYSO0RGO7XSNG831555967&infSeq=1

Alerts

주유소 위도 is highly overall correlated with 영업시간High correlation
주유소 경도 is highly overall correlated with 영업시간High correlation
영업시간 is highly overall correlated with 주유소 위도 and 2 other fieldsHigh correlation
잔량 수량 구간 is highly overall correlated with 영업시간High correlation
영업시간 is highly imbalanced (93.1%)Imbalance
주유소 전화번호 has 36 (1.3%) missing valuesMissing
주유소 코드 has unique valuesUnique
재고량(ℓ) has 269 (9.7%) zerosZeros

Reproduction

Analysis started2023-12-10 22:22:55.964747
Analysis finished2023-12-10 22:22:58.108888
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주유소 주소
Text

Distinct2780
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
2023-12-11T07:22:58.297700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length19.627648
Min length10

Characters and Unicode

Total characters54663
Distinct characters386
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

Unique2775 ?
Unique (%)99.6%

Sample

1st row울산 남구 두왕로 59 (두왕동)
2nd row울산 남구 수암로 199 (야음동)
3rd row울산 울주군 웅촌면 웅촌로 504
4th row울산 울주군 청량면 온산로 317
5th row울산 남구 두왕로 74 (선암동)
ValueCountFrequency (%)
경기 633
 
4.6%
경북 329
 
2.4%
전남 241
 
1.7%
경남 236
 
1.7%
충남 234
 
1.7%
충북 158
 
1.1%
전북 158
 
1.1%
강원 120
 
0.9%
인천 100
 
0.7%
화성시 86
 
0.6%
Other values (4339) 11546
83.4%
2023-12-11T07:22:58.691346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11056
 
20.2%
로 2678
 
4.9%
시 1794
 
3.3%
1 1610
 
2.9%
경 1492
 
2.7%
동 1265
 
2.3%
2 1216
 
2.2%
남 1170
 
2.1%
구 1030
 
1.9%
면 1015
 
1.9%
Other values (376) 30337
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32737
59.9%
Space Separator 11056
 
20.2%
Decimal Number 9024
 
16.5%
Close Punctuation 846
 
1.5%
Open Punctuation 846
 
1.5%
Dash Punctuation 145
 
0.3%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2678
 
8.2%
시 1794
 
5.5%
경 1492
 
4.6%
동 1265
 
3.9%
남 1170
 
3.6%
구 1030
 
3.1%
면 1015
 
3.1%
대 929
 
2.8%
북 901
 
2.8%
산 870
 
2.7%
Other values (360) 19593
59.8%
Decimal Number
ValueCountFrequency (%)
1 1610
17.8%
2 1216
13.5%
3 940
10.4%
4 875
9.7%
5 808
9.0%
7 762
8.4%
6 759
8.4%
0 721
8.0%
8 700
7.8%
9 633
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
. 4
44.4%
Space Separator
ValueCountFrequency (%)
11056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 846
100.0%
Open Punctuation
ValueCountFrequency (%)
( 846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32737
59.9%
Common 21926
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2678
 
8.2%
시 1794
 
5.5%
경 1492
 
4.6%
동 1265
 
3.9%
남 1170
 
3.6%
구 1030
 
3.1%
면 1015
 
3.1%
대 929
 
2.8%
북 901
 
2.8%
산 870
 
2.7%
Other values (360) 19593
59.8%
Common
ValueCountFrequency (%)
11056
50.4%
1 1610
 
7.3%
2 1216
 
5.5%
3 940
 
4.3%
4 875
 
4.0%
) 846
 
3.9%
( 846
 
3.9%
5 808
 
3.7%
7 762
 
3.5%
6 759
 
3.5%
Other values (6) 2208
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32737
59.9%
ASCII 21926
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11056
50.4%
1 1610
 
7.3%
2 1216
 
5.5%
3 940
 
4.3%
4 875
 
4.0%
) 846
 
3.9%
( 846
 
3.9%
5 808
 
3.7%
7 762
 
3.5%
6 759
 
3.5%
Other values (6) 2208
 
10.1%
Hangul
ValueCountFrequency (%)
로 2678
 
8.2%
시 1794
 
5.5%
경 1492
 
4.6%
동 1265
 
3.9%
남 1170
 
3.6%
구 1030
 
3.1%
면 1015
 
3.1%
대 929
 
2.8%
북 901
 
2.8%
산 870
 
2.7%
Other values (360) 19593
59.8%

주유소 코드
Text

UNIQUE 

Distinct2785
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
2023-12-11T07:22:58.990293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters22280
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2785 ?
Unique (%)100.0%

Sample

1st rowA0028992
2nd rowA0028999
3rd rowA0029012
4th rowA0029014
5th rowA0029024
ValueCountFrequency (%)
a0028992 1
 
< 0.1%
a0005237 1
 
< 0.1%
a0005272 1
 
< 0.1%
a0005122 1
 
< 0.1%
a0005135 1
 
< 0.1%
a0005144 1
 
< 0.1%
a0005146 1
 
< 0.1%
a0005152 1
 
< 0.1%
a0005180 1
 
< 0.1%
a0005214 1
 
< 0.1%
Other values (2775) 2775
99.6%
2023-12-11T07:22:59.400691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7549
33.9%
A 2785
 
12.5%
2 2044
 
9.2%
1 1961
 
8.8%
3 1682
 
7.5%
9 1084
 
4.9%
8 1073
 
4.8%
6 1069
 
4.8%
4 1052
 
4.7%
5 1011
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19495
87.5%
Uppercase Letter 2785
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7549
38.7%
2 2044
 
10.5%
1 1961
 
10.1%
3 1682
 
8.6%
9 1084
 
5.6%
8 1073
 
5.5%
6 1069
 
5.5%
4 1052
 
5.4%
5 1011
 
5.2%
7 970
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 2785
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19495
87.5%
Latin 2785
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7549
38.7%
2 2044
 
10.5%
1 1961
 
10.1%
3 1682
 
8.6%
9 1084
 
5.6%
8 1073
 
5.5%
6 1069
 
5.5%
4 1052
 
5.4%
5 1011
 
5.2%
7 970
 
5.0%
Latin
ValueCountFrequency (%)
A 2785
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7549
33.9%
A 2785
 
12.5%
2 2044
 
9.2%
1 1961
 
8.8%
3 1682
 
7.5%
9 1084
 
4.9%
8 1073
 
4.8%
6 1069
 
4.8%
4 1052
 
4.7%
5 1011
 
4.5%

재고량(ℓ)
Real number (ℝ)

ZEROS 

Distinct855
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1227.6363
Minimum0
Maximum29626
Zeros269
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size24.6 KiB
2023-12-11T07:22:59.532073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1380
median900
Q31520
95-th percentile3439.6
Maximum29626
Range29626
Interquartile range (IQR)1140

Descriptive statistics

Standard deviation1573.6577
Coefficient of variation (CV)1.2818599
Kurtosis76.308851
Mean1227.6363
Median Absolute Deviation (MAD)580
Skewness6.4017076
Sum3418967
Variance2476398.7
MonotonicityNot monotonic
2023-12-11T07:22:59.653557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 269
 
9.7%
1000 91
 
3.3%
2000 65
 
2.3%
800 46
 
1.7%
1500 45
 
1.6%
1200 43
 
1.5%
500 41
 
1.5%
900 38
 
1.4%
1400 32
 
1.1%
1300 31
 
1.1%
Other values (845) 2084
74.8%
ValueCountFrequency (%)
0 269
9.7%
1 2
 
0.1%
10 4
 
0.1%
20 3
 
0.1%
30 5
 
0.2%
32 2
 
0.1%
40 6
 
0.2%
50 12
 
0.4%
60 8
 
0.3%
65 1
 
< 0.1%
ValueCountFrequency (%)
29626 1
< 0.1%
24000 1
< 0.1%
20000 1
< 0.1%
16988 1
< 0.1%
15949 1
< 0.1%
15900 1
< 0.1%
15000 1
< 0.1%
14700 1
< 0.1%
11600 1
< 0.1%
10406 1
< 0.1%

주유소 위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2770
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.176815
Minimum0
Maximum38.290383
Zeros15
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size24.6 KiB
2023-12-11T07:22:59.785135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.81979
Q135.480787
median36.447966
Q337.26135
95-th percentile37.723949
Maximum38.290383
Range38.290383
Interquartile range (IQR)1.7805634

Descriptive statistics

Standard deviation2.8454324
Coefficient of variation (CV)0.07865348
Kurtosis138.11797
Mean36.176815
Median Absolute Deviation (MAD)0.8732789
Skewness-11.070384
Sum100752.43
Variance8.0964854
MonotonicityNot monotonic
2023-12-11T07:22:59.916625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
0.5%
36.9429883 2
 
0.1%
35.5086318 1
 
< 0.1%
37.9570172 1
 
< 0.1%
37.66146328 1
 
< 0.1%
37.4408432 1
 
< 0.1%
37.801992 1
 
< 0.1%
37.6041255 1
 
< 0.1%
37.6423706 1
 
< 0.1%
37.742549 1
 
< 0.1%
Other values (2760) 2760
99.1%
ValueCountFrequency (%)
0.0 15
0.5%
33.2269682 1
 
< 0.1%
33.2577323 1
 
< 0.1%
33.2612761 1
 
< 0.1%
33.27168 1
 
< 0.1%
33.2844935 1
 
< 0.1%
33.284667 1
 
< 0.1%
33.3721276 1
 
< 0.1%
33.3769075 1
 
< 0.1%
33.4216103 1
 
< 0.1%
ValueCountFrequency (%)
38.29038334 1
< 0.1%
38.2717313 1
< 0.1%
38.27047786 1
< 0.1%
38.2114295 1
< 0.1%
38.20422621 1
< 0.1%
38.1893756 1
< 0.1%
38.13455408 1
< 0.1%
38.1146619 1
< 0.1%
38.1113076 1
< 0.1%
38.10184169 1
< 0.1%

주유소 경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2770
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.90407
Minimum0
Maximum129.50739
Zeros15
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size24.6 KiB
2023-12-11T07:23:00.045934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.57906
Q1126.88238
median127.28647
Q3128.32689
95-th percentile129.2156
Maximum129.50739
Range129.50739
Interquartile range (IQR)1.4445182

Descriptive statistics

Standard deviation9.3792472
Coefficient of variation (CV)0.073908167
Kurtosis177.95972
Mean126.90407
Median Absolute Deviation (MAD)0.5175485
Skewness-13.352694
Sum353427.83
Variance87.970278
MonotonicityNot monotonic
2023-12-11T07:23:00.185027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
0.5%
128.3224439 2
 
0.1%
129.3083605 1
 
< 0.1%
126.9256477 1
 
< 0.1%
126.798934 1
 
< 0.1%
127.5356455 1
 
< 0.1%
126.8809745 1
 
< 0.1%
126.8220016 1
 
< 0.1%
126.7689211 1
 
< 0.1%
126.7515034 1
 
< 0.1%
Other values (2760) 2760
99.1%
ValueCountFrequency (%)
0.0 15
0.5%
125.9300618 1
 
< 0.1%
126.1139383 1
 
< 0.1%
126.1426777 1
 
< 0.1%
126.1521133 1
 
< 0.1%
126.1683296 1
 
< 0.1%
126.2114432 1
 
< 0.1%
126.2151706 1
 
< 0.1%
126.2509477 1
 
< 0.1%
126.2748195 1
 
< 0.1%
ValueCountFrequency (%)
129.5073871 1
< 0.1%
129.4848754 1
< 0.1%
129.4728921 1
< 0.1%
129.4445548 1
< 0.1%
129.4351337 1
< 0.1%
129.4215635 1
< 0.1%
129.4178383 1
< 0.1%
129.4161148 1
< 0.1%
129.4158185 1
< 0.1%
129.4142271 1
< 0.1%

주유소 이름
Text

Distinct2528
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
2023-12-11T07:23:00.450936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length8.5741472
Min length2

Characters and Unicode

Total characters23879
Distinct characters534
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2380 ?
Unique (%)85.5%

Sample

1st row두왕로주유소
2nd row신대동주유소
3rd row웅촌구도일주유소
4th row차사랑주유소
5th row효암알뜰주유소
ValueCountFrequency (%)
현대오일뱅크㈜직영 22
 
0.7%
kh에너지(주)직영 19
 
0.6%
sk에너지(주 18
 
0.5%
지에스칼텍스㈜ 17
 
0.5%
주유소 17
 
0.5%
우리주유소 13
 
0.4%
cj대한통운㈜ 13
 
0.4%
내트럭하우스 13
 
0.4%
구도일주유소 11
 
0.3%
삼미상사(주 9
 
0.3%
Other values (2700) 3140
95.4%
2023-12-11T07:23:00.850571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3274
 
13.7%
유 2780
 
11.6%
소 2707
 
11.3%
) 801
 
3.4%
( 799
 
3.3%
507
 
2.1%
지 383
 
1.6%
대 334
 
1.4%
에 334
 
1.4%
산 256
 
1.1%
Other values (524) 11704
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20840
87.3%
Close Punctuation 801
 
3.4%
Open Punctuation 799
 
3.3%
Space Separator 507
 
2.1%
Uppercase Letter 503
 
2.1%
Lowercase Letter 137
 
0.6%
Other Symbol 136
 
0.6%
Other Punctuation 78
 
0.3%
Decimal Number 75
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3274
 
15.7%
유 2780
 
13.3%
소 2707
 
13.0%
지 383
 
1.8%
대 334
 
1.6%
에 334
 
1.6%
산 256
 
1.2%
스 242
 
1.2%
농 236
 
1.1%
협 231
 
1.1%
Other values (474) 10063
48.3%
Uppercase Letter
ValueCountFrequency (%)
K 112
22.3%
C 108
21.5%
I 95
18.9%
S 81
16.1%
H 36
 
7.2%
J 17
 
3.4%
G 10
 
2.0%
O 8
 
1.6%
E 5
 
1.0%
Y 4
 
0.8%
Other values (11) 27
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 36
26.3%
l 33
24.1%
f 32
23.4%
s 28
20.4%
k 3
 
2.2%
y 1
 
0.7%
o 1
 
0.7%
u 1
 
0.7%
h 1
 
0.7%
c 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 31
41.3%
1 22
29.3%
3 7
 
9.3%
4 4
 
5.3%
8 3
 
4.0%
9 3
 
4.0%
5 3
 
4.0%
0 1
 
1.3%
7 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 69
88.5%
. 4
 
5.1%
＆ 3
 
3.8%
, 2
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 801
100.0%
Open Punctuation
ValueCountFrequency (%)
( 799
100.0%
Space Separator
ValueCountFrequency (%)
507
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20976
87.8%
Common 2262
 
9.5%
Latin 641
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3274
 
15.6%
유 2780
 
13.3%
소 2707
 
12.9%
지 383
 
1.8%
대 334
 
1.6%
에 334
 
1.6%
산 256
 
1.2%
스 242
 
1.2%
농 236
 
1.1%
협 231
 
1.1%
Other values (475) 10199
48.6%
Latin
ValueCountFrequency (%)
K 112
17.5%
C 108
16.8%
I 95
14.8%
S 81
12.6%
H 36
 
5.6%
e 36
 
5.6%
l 33
 
5.1%
f 32
 
5.0%
s 28
 
4.4%
J 17
 
2.7%
Other values (22) 63
9.8%
Common
ValueCountFrequency (%)
) 801
35.4%
( 799
35.3%
507
22.4%
/ 69
 
3.1%
2 31
 
1.4%
1 22
 
1.0%
3 7
 
0.3%
4 4
 
0.2%
. 4
 
0.2%
＆ 3
 
0.1%
Other values (7) 15
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20840
87.3%
ASCII 2899
 
12.1%
None 139
 
0.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3274
 
15.7%
유 2780
 
13.3%
소 2707
 
13.0%
지 383
 
1.8%
대 334
 
1.6%
에 334
 
1.6%
산 256
 
1.2%
스 242
 
1.2%
농 236
 
1.1%
협 231
 
1.1%
Other values (474) 10063
48.3%
ASCII
ValueCountFrequency (%)
) 801
27.6%
( 799
27.6%
507
17.5%
K 112
 
3.9%
C 108
 
3.7%
I 95
 
3.3%
S 81
 
2.8%
/ 69
 
2.4%
H 36
 
1.2%
e 36
 
1.2%
Other values (37) 255
 
8.8%
None
ValueCountFrequency (%)
㈜ 136
97.8%
＆ 3
 
2.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
<NA>
2674 
매일 24시간
 
81
00:00~24:00, 휴무(토)23:00~(일)07:00
 
3
05:00~23:00
 
3
00:00~24:00
 
3
Other values (20)
 
21

Length

Max length37
Median length4
Mean length4.3066427
Min length4

Unique

Unique19 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2674
96.0%
매일 24시간 81
 
2.9%
00:00~24:00, 휴무(토)23:00~(일)07:00 3
 
0.1%
05:00~23:00 3
 
0.1%
00:00~24:00 3
 
0.1%
00:00~24:00(평일), 휴무(토)23:00~(일)07:00 2
 
0.1%
00:00~24:00(평일), 휴무(토)20:00~(일)20:00 1
 
< 0.1%
06:00~22:00(평일,토), 일요일 휴무 1
 
< 0.1%
00:00~24:00, 휴무(토)22:00~(일)06:00 1
 
< 0.1%
05:00~24:00 1
 
< 0.1%
Other values (15) 15
 
0.5%

Length

2023-12-11T07:23:00.979038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2674
92.6%
24시간 82
 
2.8%
매일 81
 
2.8%
00:00~24:00 8
 
0.3%
휴무(토)23:00~(일)07:00 5
 
0.2%
05:00~23:00 3
 
0.1%
00:00~24:00(평일 3
 
0.1%
휴무 3
 
0.1%
06:00~22:00(주말 2
 
0.1%
06:00~22:00(평일,토 2
 
0.1%
Other values (25) 26
 
0.9%

요소수가격
Categorical

Distinct48
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
2000
627 
1800
495 
1700
384 
1500
381 
1600
319 
Other values (43)
579 

Length

Max length9
Median length4
Mean length3.9989228
Min length1

Unique

Unique17 ?
Unique (%)0.6%

Sample

1st row1600
2nd row2500
3rd row1100
4th row1800
5th row1500

Common Values

ValueCountFrequency (%)
2000 627
22.5%
1800 495
17.8%
1700 384
13.8%
1500 381
13.7%
1600 319
11.5%
2500 101
 
3.6%
1300 68
 
2.4%
1400 66
 
2.4%
1900 62
 
2.2%
2200 61
 
2.2%
Other values (38) 221
 
7.9%

Length

2023-12-11T07:23:01.112906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2000 627
22.5%
1800 495
17.8%
1700 384
13.8%
1500 381
13.7%
1600 319
11.5%
2500 101
 
3.6%
1300 68
 
2.4%
1400 66
 
2.4%
1900 62
 
2.2%
2200 61
 
2.2%
Other values (38) 221
 
7.9%

업데이트 일시
Date

Distinct2784
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
Minimum2021-12-02 10:54:47
Maximum2022-06-14 10:35:18
2023-12-11T07:23:01.239138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:01.386701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주유소 전화번호
Text

MISSING 

Distinct2738
Distinct (%)99.6%
Missing36
Missing (%)1.3%
Memory size21.9 KiB
2023-12-11T07:23:01.695560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.00291
Min length7

Characters and Unicode

Total characters32996
Distinct characters19
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

Unique2731 ?
Unique (%)99.3%

Sample

1st row052-256-5185
2nd row052-227-9118
3rd row052-225-5151
4th row052-261-5163
5th row052-266-7565
ValueCountFrequency (%)
6
 
0.2%
063-452-8506 2
 
0.1%
055-587-8881 2
 
0.1%
061-772-2106 2
 
0.1%
053-651-6400 2
 
0.1%
033-522-0202 2
 
0.1%
031-481-8149 2
 
0.1%
031-903-3322 1
 
< 0.1%
031-532-9551 1
 
< 0.1%
031-865-0201 1
 
< 0.1%
Other values (2730) 2730
99.2%
2023-12-11T07:23:02.091987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5496
16.7%
0 4357
13.2%
5 3992
12.1%
3 3592
10.9%
1 3474
10.5%
4 2512
7.6%
2 2355
7.1%
6 2146
 
6.5%
8 1961
 
5.9%
7 1724
 
5.2%
Other values (9) 1387
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27413
83.1%
Dash Punctuation 5496
 
16.7%
Other Punctuation 68
 
0.2%
Math Symbol 13
 
< 0.1%
Other Letter 4
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4357
15.9%
5 3992
14.6%
3 3592
13.1%
1 3474
12.7%
4 2512
9.2%
2 2355
8.6%
6 2146
7.8%
8 1961
7.2%
7 1724
 
6.3%
9 1300
 
4.7%
Other Letter
ValueCountFrequency (%)
시 1
25.0%
간 1
25.0%
영 1
25.0%
업 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 66
97.1%
, 2
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 5496
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32992
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5496
16.7%
0 4357
13.2%
5 3992
12.1%
3 3592
10.9%
1 3474
10.5%
4 2512
7.6%
2 2355
7.1%
6 2146
 
6.5%
8 1961
 
5.9%
7 1724
 
5.2%
Other values (5) 1383
 
4.2%
Hangul
ValueCountFrequency (%)
시 1
25.0%
간 1
25.0%
영 1
25.0%
업 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32992
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5496
16.7%
0 4357
13.2%
5 3992
12.1%
3 3592
10.9%
1 3474
10.5%
4 2512
7.6%
2 2355
7.1%
6 2146
 
6.5%
8 1961
 
5.9%
7 1724
 
5.2%
Other values (5) 1383
 
4.2%
Hangul
ValueCountFrequency (%)
시 1
25.0%
간 1
25.0%
영 1
25.0%
업 1
25.0%

잔량 수량 구간
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.9 KiB
GREEN
1310 
YELLOW
1024 
GRAY
269 
RED
182 

Length

Max length6
Median length5
Mean length5.140395
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYELLOW
2nd rowYELLOW
3rd rowGREEN
4th rowGREEN
5th rowYELLOW

Common Values

ValueCountFrequency (%)
GREEN 1310
47.0%
YELLOW 1024
36.8%
GRAY 269
 
9.7%
RED 182
 
6.5%

Length

2023-12-11T07:23:02.267600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:02.399744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
green 1310
47.0%
yellow 1024
36.8%
gray 269
 
9.7%
red 182
 
6.5%

Interactions

2023-12-11T07:22:57.396508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:56.822548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:57.120515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:57.514855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:56.949558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:57.200690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:57.598868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:57.041891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:57.288859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:23:02.480682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재고량(ℓ)주유소 위도주유소 경도영업시간요소수가격잔량 수량 구간
재고량(ℓ)1.0000.0350.0000.0000.1150.256
주유소 위도0.0351.0001.000NaN0.0000.053
주유소 경도0.0001.0001.000NaN0.0000.038
영업시간0.000NaNNaN1.0000.6570.937
요소수가격0.1150.0000.0000.6571.0000.511
잔량 수량 구간0.2560.0530.0380.9370.5111.000
2023-12-11T07:23:02.595822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요소수가격잔량 수량 구간영업시간
요소수가격1.0000.2790.274
잔량 수량 구간0.2791.0000.648
영업시간0.2740.6481.000
2023-12-11T07:23:02.693982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재고량(ℓ)주유소 위도주유소 경도영업시간요소수가격잔량 수량 구간
재고량(ℓ)1.000-0.1220.0660.0000.0410.166
주유소 위도-0.1221.000-0.2301.0000.0000.050
주유소 경도0.066-0.2301.0001.0000.0000.025
영업시간0.0001.0001.0001.0000.2740.648
요소수가격0.0410.0000.0000.2741.0000.279
잔량 수량 구간0.1660.0500.0250.6480.2791.000

Missing values

2023-12-11T07:22:57.715158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:22:58.056048image/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

주유소 주소주유소 코드재고량(ℓ)주유소 위도주유소 경도주유소 이름영업시간요소수가격업데이트 일시주유소 전화번호잔량 수량 구간
0울산 남구 두왕로 59 (두왕동)A002899248735.508632129.30836두왕로주유소<NA>16002022-01-11 16:03:54052-256-5185YELLOW
1울산 남구 수암로 199 (야음동)A002899936035.526979129.329119신대동주유소<NA>25002022-01-07 11:04:21052-227-9118YELLOW
2울산 울주군 웅촌면 웅촌로 504A0029012250035.472863129.219412웅촌구도일주유소<NA>11002022-06-13 13:01:37052-225-5151GREEN
3울산 울주군 청량면 온산로 317A0029014125435.466895129.329412차사랑주유소<NA>18002022-01-12 13:24:36052-261-5163GREEN
4울산 남구 두왕로 74 (선암동)A002902489035.509751129.309016효암알뜰주유소<NA>15002021-12-17 15:50:13052-266-7565YELLOW
5울산 남구 산업로 515 (여천동)A0029037100035.528104129.34696무지개주유소<NA>13002022-04-27 19:40:43052-261-2222GREEN
6울산 울주군 웅촌면 웅촌로 464A0029039035.470242129.21682한마음주유소<NA>15002022-01-17 09:58:30052-225-7770GRAY
7울산 울주군 웅촌면 웅촌로 671A002904391035.487012129.219041웅촌셀프주유소<NA>16002022-06-12 13:17:43052-222-5189YELLOW
8울산 남구 산업로 107 (상개동)A002905160035.506326129.318978기은주유소<NA>17002022-03-21 12:22:26052-227-4992YELLOW
9울산 울주군 온양읍 온양로 108A0029053100035.40976129.283379합동주유소<NA>16002022-01-31 09:13:52052-237-5151GREEN
주유소 주소주유소 코드재고량(ℓ)주유소 위도주유소 경도주유소 이름영업시간요소수가격업데이트 일시주유소 전화번호잔량 수량 구간
2775전남 장성군 황룡면 강변로 558A0019963118035.291835126.773268(주)황룡강주유소<NA>15002022-06-13 13:16:18061-393-2411GREEN
2776전남 담양군 대전면 대전로 52A001996975035.272651126.888382대치주유소<NA>18002022-01-10 15:57:01061-381-0404YELLOW
2777전남 광양시 광양읍 인덕로 710A0019977034.946631127.581845세풍주유소<NA>14002021-12-03 13:42:11061-762-9956GRAY
2778광주 북구 하서로 225A0020012111635.195397126.876521(주)한일주유소<NA>18002022-05-03 07:23:18062-576-5151GREEN
2779전남 담양군 담양읍 죽향문화로 98A0020014182035.314285126.973466(주)터미널주유소<NA>18002022-02-15 12:46:48061-383-4460GREEN
2780전남 장성군 북일면 박산리 호남고속도로 108-1A0020027300035.394135126.807267한국도로공사 백양사(논산)주유소/충전소<NA>17002022-04-13 11:05:44061-393-0257GREEN
2781광주 북구 동문대로 138A002007257035.175061126.927196(주)차나라주유소<NA>20002022-01-25 10:09:29062-265-1144YELLOW
2782광주 북구 동문대로 280 (각화동)A002007866735.187289126.934783광주화물터미널(주)<NA>17002022-06-12 21:22:36062-261-2514YELLOW
2783전남 장성군 장성읍 역전로 24A0020089285135.294373126.780239장성천우주유소<NA>17002022-04-06 20:30:01061-393-8851GREEN
2784전남 담양군 월산면 담장로 335A002009378035.338764126.942327(유)월산주유소<NA>18002022-01-11 08:04:57061-381-5110YELLOW