Overview

Dataset statistics

Number of variables13
Number of observations404
Missing cells1377
Missing cells (%)26.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory106.3 B

Variable types

DateTime5
Categorical3
Text3
Numeric2

Dataset

Description경기도 평택시 주유소 현황에 대한 데이터로 인허가일자, 영업상태명, 사업장명, 소재지전체주소, 도로명전체주소, 업태구분명, 위도, 경도 등의 정보를 제공합니다.※문의 : 평택시청 일자리경제과(031-8024-3587)
Author경기도 평택시
URLhttps://www.data.go.kr/data/3064632/fileData.do

Alerts

상세영업상태명 is highly overall correlated with 영업상태명High correlation
영업상태명 is highly overall correlated with 상세영업상태명High correlation
폐업일자 has 219 (54.2%) missing valuesMissing
휴업시작일자 has 362 (89.6%) missing valuesMissing
휴업종료일자 has 362 (89.6%) missing valuesMissing
재개업일자 has 376 (93.1%) missing valuesMissing
도로명전체주소 has 56 (13.9%) missing valuesMissing

Reproduction

Analysis started2024-03-14 14:51:02.357388
Analysis finished2024-03-14 14:51:06.288971
Duration3.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가일자
Date

Distinct348
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1963-03-15 00:00:00
Maximum2024-01-30 00:00:00
2024-03-14T23:51:06.505227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:06.956177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
영업/정상
212 
폐업
162 
취소/말소/만료/정지/중지
25 
휴업
 
5

Length

Max length14
Median length5
Mean length4.3168317
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 212
52.5%
폐업 162
40.1%
취소/말소/만료/정지/중지 25
 
6.2%
휴업 5
 
1.2%

Length

2024-03-14T23:51:07.405481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:51:07.772310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 212
52.5%
폐업 162
40.1%
취소/말소/만료/정지/중지 25
 
6.2%
휴업 5
 
1.2%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐지
162 
영업개시
97 
신규등록
96 
등록취소
25 
휴지사업재개
18 
Other values (2)
 
6

Length

Max length6
Median length4
Mean length3.2871287
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row폐지
2nd row신규등록
3rd row폐지
4th row영업개시
5th row폐지

Common Values

ValueCountFrequency (%)
폐지 162
40.1%
영업개시 97
24.0%
신규등록 96
23.8%
등록취소 25
 
6.2%
휴지사업재개 18
 
4.5%
사업휴지 5
 
1.2%
<NA> 1
 
0.2%

Length

2024-03-14T23:51:08.175132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:51:08.547810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 162
40.1%
영업개시 97
24.0%
신규등록 96
23.8%
등록취소 25
 
6.2%
휴지사업재개 18
 
4.5%
사업휴지 5
 
1.2%
na 1
 
0.2%

폐업일자
Date

MISSING 

Distinct170
Distinct (%)91.9%
Missing219
Missing (%)54.2%
Memory size3.3 KiB
Minimum2002-03-02 00:00:00
Maximum2022-09-23 00:00:00
2024-03-14T23:51:08.949259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:09.379237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct42
Distinct (%)100.0%
Missing362
Missing (%)89.6%
Memory size3.3 KiB
Minimum2007-07-20 00:00:00
Maximum2021-06-14 00:00:00
2024-03-14T23:51:09.723079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:09.995496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

휴업종료일자
Date

MISSING 

Distinct41
Distinct (%)97.6%
Missing362
Missing (%)89.6%
Memory size3.3 KiB
Minimum2008-06-30 00:00:00
Maximum2021-12-31 00:00:00
2024-03-14T23:51:10.302375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:10.530437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

재개업일자
Date

MISSING 

Distinct27
Distinct (%)96.4%
Missing376
Missing (%)93.1%
Memory size3.3 KiB
Minimum2011-08-12 00:00:00
Maximum2020-11-12 00:00:00
2024-03-14T23:51:10.733740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:10.937629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

사업장명
Text

Distinct356
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-14T23:51:11.793432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length7.5792079
Min length2

Characters and Unicode

Total characters3062
Distinct characters262
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)76.5%

Sample

1st row제일주유소
2nd row삼미석유
3rd row서정주유소
4th row삼성주유소
5th row삼양주유소
ValueCountFrequency (%)
현대오일뱅크(주)직영 6
 
1.2%
주유소 6
 
1.2%
직영 4
 
0.8%
sk에너지(주 4
 
0.8%
경기석유 3
 
0.6%
지에스칼텍스(주 3
 
0.6%
동양산업(주)직영 3
 
0.6%
안중농협 3
 
0.6%
청북주유소 3
 
0.6%
평택항주유소 3
 
0.6%
Other values (378) 445
92.1%
2024-03-14T23:51:12.964476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 322
 
10.5%
유 315
 
10.3%
소 237
 
7.7%
) 103
 
3.4%
에 103
 
3.4%
( 103
 
3.4%
지 101
 
3.3%
너 81
 
2.6%
석 80
 
2.6%
79
 
2.6%
Other values (252) 1538
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2670
87.2%
Close Punctuation 103
 
3.4%
Open Punctuation 103
 
3.4%
Space Separator 79
 
2.6%
Uppercase Letter 63
 
2.1%
Decimal Number 28
 
0.9%
Lowercase Letter 12
 
0.4%
Other Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 322
 
12.1%
유 315
 
11.8%
소 237
 
8.9%
에 103
 
3.9%
지 101
 
3.8%
너 81
 
3.0%
석 80
 
3.0%
이 48
 
1.8%
대 44
 
1.6%
일 43
 
1.6%
Other values (221) 1296
48.5%
Uppercase Letter
ValueCountFrequency (%)
S 22
34.9%
K 18
28.6%
C 5
 
7.9%
I 5
 
7.9%
G 4
 
6.3%
N 2
 
3.2%
L 2
 
3.2%
J 1
 
1.6%
T 1
 
1.6%
X 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 7
25.0%
2 5
17.9%
0 5
17.9%
4 4
14.3%
5 2
 
7.1%
7 2
 
7.1%
3 1
 
3.6%
8 1
 
3.6%
9 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s 3
25.0%
f 3
25.0%
l 3
25.0%
e 3
25.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2672
87.3%
Common 315
 
10.3%
Latin 75
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 322
 
12.1%
유 315
 
11.8%
소 237
 
8.9%
에 103
 
3.9%
지 101
 
3.8%
너 81
 
3.0%
석 80
 
3.0%
이 48
 
1.8%
대 44
 
1.6%
일 43
 
1.6%
Other values (222) 1298
48.6%
Latin
ValueCountFrequency (%)
S 22
29.3%
K 18
24.0%
C 5
 
6.7%
I 5
 
6.7%
G 4
 
5.3%
s 3
 
4.0%
f 3
 
4.0%
l 3
 
4.0%
e 3
 
4.0%
N 2
 
2.7%
Other values (6) 7
 
9.3%
Common
ValueCountFrequency (%)
) 103
32.7%
( 103
32.7%
79
25.1%
1 7
 
2.2%
2 5
 
1.6%
0 5
 
1.6%
4 4
 
1.3%
5 2
 
0.6%
7 2
 
0.6%
3 1
 
0.3%
Other values (4) 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2670
87.2%
ASCII 390
 
12.7%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 322
 
12.1%
유 315
 
11.8%
소 237
 
8.9%
에 103
 
3.9%
지 101
 
3.8%
너 81
 
3.0%
석 80
 
3.0%
이 48
 
1.8%
대 44
 
1.6%
일 43
 
1.6%
Other values (221) 1296
48.5%
ASCII
ValueCountFrequency (%)
) 103
26.4%
( 103
26.4%
79
20.3%
S 22
 
5.6%
K 18
 
4.6%
1 7
 
1.8%
C 5
 
1.3%
I 5
 
1.3%
2 5
 
1.3%
0 5
 
1.3%
Other values (20) 38
 
9.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지전체주소
Text

Distinct368
Distinct (%)91.5%
Missing2
Missing (%)0.5%
Memory size3.3 KiB
2024-03-14T23:51:14.234563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length35
Mean length20.385572
Min length13

Characters and Unicode

Total characters8195
Distinct characters144
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

Unique340 ?
Unique (%)84.6%

Sample

1st row경기도 평택시 신대동 8-2
2nd row경기도 평택시 평택동 185
3rd row경기도 평택시 서정동 434-1
4th row경기도 평택시 지산동 743-1
5th row경기도 평택시 평택동 39-1
ValueCountFrequency (%)
경기도 402
20.6%
평택시 402
20.6%
포승읍 43
 
2.2%
팽성읍 40
 
2.1%
서정동 33
 
1.7%
안중읍 29
 
1.5%
진위면 26
 
1.3%
고덕면 20
 
1.0%
청북읍 17
 
0.9%
번지 17
 
0.9%
Other values (497) 919
47.2%
2024-03-14T23:51:16.126234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1606
19.6%
도 430
 
5.2%
평 408
 
5.0%
택 408
 
5.0%
기 407
 
5.0%
시 403
 
4.9%
경 402
 
4.9%
- 383
 
4.7%
1 328
 
4.0%
리 225
 
2.7%
Other values (134) 3195
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4429
54.0%
Decimal Number 1730
 
21.1%
Space Separator 1606
 
19.6%
Dash Punctuation 383
 
4.7%
Other Punctuation 45
 
0.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 430
 
9.7%
평 408
 
9.2%
택 408
 
9.2%
기 407
 
9.2%
시 403
 
9.1%
경 402
 
9.1%
리 225
 
5.1%
동 185
 
4.2%
읍 129
 
2.9%
면 95
 
2.1%
Other values (119) 1337
30.2%
Decimal Number
ValueCountFrequency (%)
1 328
19.0%
2 203
11.7%
3 198
11.4%
7 174
10.1%
5 171
9.9%
4 166
9.6%
6 156
9.0%
8 115
 
6.6%
9 113
 
6.5%
0 106
 
6.1%
Space Separator
ValueCountFrequency (%)
1606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 383
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4429
54.0%
Common 3766
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 430
 
9.7%
평 408
 
9.2%
택 408
 
9.2%
기 407
 
9.2%
시 403
 
9.1%
경 402
 
9.1%
리 225
 
5.1%
동 185
 
4.2%
읍 129
 
2.9%
면 95
 
2.1%
Other values (119) 1337
30.2%
Common
ValueCountFrequency (%)
1606
42.6%
- 383
 
10.2%
1 328
 
8.7%
2 203
 
5.4%
3 198
 
5.3%
7 174
 
4.6%
5 171
 
4.5%
4 166
 
4.4%
6 156
 
4.1%
8 115
 
3.1%
Other values (5) 266
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4429
54.0%
ASCII 3766
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1606
42.6%
- 383
 
10.2%
1 328
 
8.7%
2 203
 
5.4%
3 198
 
5.3%
7 174
 
4.6%
5 171
 
4.5%
4 166
 
4.4%
6 156
 
4.1%
8 115
 
3.1%
Other values (5) 266
 
7.1%
Hangul
ValueCountFrequency (%)
도 430
 
9.7%
평 408
 
9.2%
택 408
 
9.2%
기 407
 
9.2%
시 403
 
9.1%
경 402
 
9.1%
리 225
 
5.1%
동 185
 
4.2%
읍 129
 
2.9%
면 95
 
2.1%
Other values (119) 1337
30.2%

도로명전체주소
Text

MISSING 

Distinct294
Distinct (%)84.5%
Missing56
Missing (%)13.9%
Memory size3.3 KiB
2024-03-14T23:51:17.527631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length21.037356
Min length17

Characters and Unicode

Total characters7321
Distinct characters154
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

Unique246 ?
Unique (%)70.7%

Sample

1st row경기도 평택시 평택로 120 (신대동)
2nd row경기도 평택시 원평로 60 (평택동)
3rd row경기도 평택시 서정남로 132 (서정동)
4th row경기도 평택시 탄현로 344 (지산동)
5th row경기도 평택시 밀월로21번길 54 (신장동)
ValueCountFrequency (%)
경기도 348
19.9%
평택시 348
19.9%
서동대로 45
 
2.6%
팽성읍 38
 
2.2%
포승읍 35
 
2.0%
서정동 28
 
1.6%
안중읍 24
 
1.4%
서해로 24
 
1.4%
경기대로 24
 
1.4%
진위면 23
 
1.3%
Other values (400) 808
46.3%
2024-03-14T23:51:19.316412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1411
19.3%
경 372
 
5.1%
기 372
 
5.1%
평 371
 
5.1%
도 366
 
5.0%
택 363
 
5.0%
시 353
 
4.8%
로 302
 
4.1%
1 225
 
3.1%
동 205
 
2.8%
Other values (144) 2981
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4454
60.8%
Space Separator 1411
 
19.3%
Decimal Number 1119
 
15.3%
Close Punctuation 149
 
2.0%
Open Punctuation 149
 
2.0%
Dash Punctuation 34
 
0.5%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 372
 
8.4%
기 372
 
8.4%
평 371
 
8.3%
도 366
 
8.2%
택 363
 
8.1%
시 353
 
7.9%
로 302
 
6.8%
동 205
 
4.6%
서 123
 
2.8%
읍 114
 
2.6%
Other values (129) 1513
34.0%
Decimal Number
ValueCountFrequency (%)
1 225
20.1%
2 150
13.4%
3 116
10.4%
6 110
9.8%
4 109
9.7%
9 91
8.1%
7 89
 
8.0%
5 87
 
7.8%
0 73
 
6.5%
8 69
 
6.2%
Space Separator
ValueCountFrequency (%)
1411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4454
60.8%
Common 2867
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 372
 
8.4%
기 372
 
8.4%
평 371
 
8.3%
도 366
 
8.2%
택 363
 
8.1%
시 353
 
7.9%
로 302
 
6.8%
동 205
 
4.6%
서 123
 
2.8%
읍 114
 
2.6%
Other values (129) 1513
34.0%
Common
ValueCountFrequency (%)
1411
49.2%
1 225
 
7.8%
2 150
 
5.2%
) 149
 
5.2%
( 149
 
5.2%
3 116
 
4.0%
6 110
 
3.8%
4 109
 
3.8%
9 91
 
3.2%
7 89
 
3.1%
Other values (5) 268
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4454
60.8%
ASCII 2867
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1411
49.2%
1 225
 
7.8%
2 150
 
5.2%
) 149
 
5.2%
( 149
 
5.2%
3 116
 
4.0%
6 110
 
3.8%
4 109
 
3.8%
9 91
 
3.2%
7 89
 
3.1%
Other values (5) 268
 
9.3%
Hangul
ValueCountFrequency (%)
경 372
 
8.4%
기 372
 
8.4%
평 371
 
8.3%
도 366
 
8.2%
택 363
 
8.1%
시 353
 
7.9%
로 302
 
6.8%
동 205
 
4.6%
서 123
 
2.8%
읍 114
 
2.6%
Other values (129) 1513
34.0%

위도
Real number (ℝ)

Distinct362
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.022554
Minimum36.917139
Maximum37.135059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-14T23:51:19.727584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.917139
5-th percentile36.945627
Q136.98883
median37.016849
Q337.061161
95-th percentile37.107418
Maximum37.135059
Range0.21792
Interquartile range (IQR)0.07233075

Descriptive statistics

Standard deviation0.048907319
Coefficient of variation (CV)0.0013210142
Kurtosis-0.77560959
Mean37.022554
Median Absolute Deviation (MAD)0.035606
Skewness0.21437892
Sum14957.112
Variance0.0023919259
MonotonicityNot monotonic
2024-03-14T23:51:20.142297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.939539 4
 
1.0%
37.089204 3
 
0.7%
37.07787 3
 
0.7%
36.998147 3
 
0.7%
36.941389 3
 
0.7%
37.048013 3
 
0.7%
37.018285 2
 
0.5%
36.993007 2
 
0.5%
36.985428 2
 
0.5%
37.038269 2
 
0.5%
Other values (352) 377
93.3%
ValueCountFrequency (%)
36.917139 1
 
0.2%
36.92917 1
 
0.2%
36.93461 1
 
0.2%
36.936749 2
0.5%
36.93787 1
 
0.2%
36.938677 1
 
0.2%
36.939539 4
1.0%
36.941389 3
0.7%
36.942871 1
 
0.2%
36.942934 1
 
0.2%
ValueCountFrequency (%)
37.135059 1
0.2%
37.134873 1
0.2%
37.132068 1
0.2%
37.129422 1
0.2%
37.126555 2
0.5%
37.125868 1
0.2%
37.125018 1
0.2%
37.124827 1
0.2%
37.122474 1
0.2%
37.119183 1
0.2%

경도
Real number (ℝ)

Distinct362
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01817
Minimum126.82761
Maximum127.14277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-14T23:51:20.483311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82761
5-th percentile126.85819
Q1126.94457
median127.0518
Q3127.07801
95-th percentile127.11091
Maximum127.14277
Range0.315162
Interquartile range (IQR)0.13343925

Descriptive statistics

Standard deviation0.081212455
Coefficient of variation (CV)0.00063937667
Kurtosis-0.65632435
Mean127.01817
Median Absolute Deviation (MAD)0.038961
Skewness-0.78293225
Sum51315.341
Variance0.0065954629
MonotonicityNot monotonic
2024-03-14T23:51:20.734011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.038724 4
 
1.0%
127.051699 3
 
0.7%
127.078382 3
 
0.7%
127.093578 3
 
0.7%
127.053655 3
 
0.7%
126.897205 3
 
0.7%
126.945799 2
 
0.5%
127.13052 2
 
0.5%
127.112094 2
 
0.5%
127.103567 2
 
0.5%
Other values (352) 377
93.3%
ValueCountFrequency (%)
126.827612 2
0.5%
126.834615 1
0.2%
126.843121 1
0.2%
126.843279 1
0.2%
126.843361 1
0.2%
126.843394 1
0.2%
126.843903 1
0.2%
126.843918 1
0.2%
126.845728 1
0.2%
126.847228 1
0.2%
ValueCountFrequency (%)
127.142774 1
0.2%
127.135368 1
0.2%
127.135229 1
0.2%
127.130581 1
0.2%
127.13052 2
0.5%
127.12715 1
0.2%
127.126687 1
0.2%
127.126392 1
0.2%
127.126284 1
0.2%
127.125057 1
0.2%

업태구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
주유소
242 
일반판매소
135 
용제판매소
27 

Length

Max length5
Median length3
Mean length3.8019802
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주유소
2nd row일반판매소
3rd row주유소
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 242
59.9%
일반판매소 135
33.4%
용제판매소 27
 
6.7%

Length

2024-03-14T23:51:20.986029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:51:21.190184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 242
59.9%
일반판매소 135
33.4%
용제판매소 27
 
6.7%

Interactions

2024-03-14T23:51:04.257160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:03.581340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:04.669044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:51:03.883817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:51:21.336201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명상세영업상태명휴업시작일자휴업종료일자재개업일자위도경도업태구분명
영업상태명1.0001.0001.0001.0001.0000.1350.2020.334
상세영업상태명1.0001.0001.0001.0001.0000.0960.2790.670
휴업시작일자1.0001.0001.0001.0001.0001.0001.0001.000
휴업종료일자1.0001.0001.0001.0001.0000.7160.9251.000
재개업일자1.0001.0001.0001.0001.0001.0001.0001.000
위도0.1350.0961.0000.7161.0001.0000.6780.366
경도0.2020.2791.0000.9251.0000.6781.0000.445
업태구분명0.3340.6701.0001.0001.0000.3660.4451.000
2024-03-14T23:51:21.594815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세영업상태명영업상태명업태구분명
상세영업상태명1.0000.9970.355
영업상태명0.9971.0000.323
업태구분명0.3550.3231.000
2024-03-14T23:51:21.747785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도영업상태명상세영업상태명업태구분명
위도1.0000.3070.0800.0500.234
경도0.3071.0000.1210.1500.296
영업상태명0.0800.1211.0000.9970.323
상세영업상태명0.0500.1500.9971.0000.355
업태구분명0.2340.2960.3230.3551.000

Missing values

2024-03-14T23:51:05.107069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:51:05.672275image/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.
2024-03-14T23:51:06.073370image/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

인허가일자영업상태명상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자사업장명소재지전체주소도로명전체주소위도경도업태구분명
01963-03-15폐업폐지2018-05-31<NA><NA><NA>제일주유소경기도 평택시 신대동 8-2경기도 평택시 평택로 120 (신대동)36.996924127.082144주유소
11971-02-02영업/정상신규등록<NA><NA><NA><NA>삼미석유경기도 평택시 평택동 185경기도 평택시 원평로 60 (평택동)36.992717127.083498일반판매소
21976-05-15폐업폐지2016-05-24<NA><NA><NA>서정주유소경기도 평택시 서정동 434-1경기도 평택시 서정남로 132 (서정동)37.060557127.053899주유소
31976-05-21영업/정상영업개시<NA>2011-12-192012-02-20<NA>삼성주유소경기도 평택시 지산동 743-1경기도 평택시 탄현로 344 (지산동)37.082615127.057089주유소
41976-10-01폐업폐지2002-03-02<NA><NA><NA>삼양주유소경기도 평택시 평택동 39-1<NA>36.993841127.089045주유소
51979-12-07영업/정상신규등록<NA><NA><NA><NA>농부에너지경기도 평택시 신장동 297-10경기도 평택시 밀월로21번길 54 (신장동)37.076628127.049898일반판매소
61980-04-10폐업폐지2014-09-04<NA><NA><NA>비전석유경기도 평택시 비전동 759-21경기도 평택시 중앙로 147 (비전동)36.992613127.099339일반판매소
71980-06-12영업/정상신규등록<NA><NA><NA><NA>삼성석유경기도 평택시 서정동 596-196경기도 평택시 국제로 55 (서정동)37.074976127.045117일반판매소
81981-04-30영업/정상신규등록<NA><NA><NA><NA>이화석유경기도 평택시 비전동 598-10경기도 평택시 은성로 19 (비전동)36.998147127.093578일반판매소
91981-06-20영업/정상<NA><NA><NA><NA><NA>팽성단위농협경기도 평택시 팽성읍 객사리 94-3경기도 평택시 팽성읍 동서촌로 12336.965045127.06521일반판매소
인허가일자영업상태명상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자사업장명소재지전체주소도로명전체주소위도경도업태구분명
3942020-07-10영업/정상신규등록<NA><NA><NA>2020-08-27㈜에이치케이하이웨이 평택(평택방향)주유소경기도 평택시 청북읍 현곡리 73-18경기도 평택시 청북읍 평택제천고속도로 6, 평택복합휴게시설37.044749126.944568주유소
3952020-07-10영업/정상신규등록<NA><NA><NA>2020-08-27(주)에이치케이하이웨이 평택(제천방향)주유소경기도 평택시 청북읍 현곡리 73-18경기도 평택시 청북읍 평택제천고속도로 6, 평택복합휴게시설37.044749126.944568주유소
3962020-07-10영업/정상영업개시<NA><NA><NA><NA>㈜에이치케이하이웨이 평택(평택방향)주유소경기도 평택시 청북읍 현곡리 73 번지18 호평택복합휴게시설경기도 평택시 청북읍 평택제천고속도로 637.045051126.944379주유소
3972020-10-30영업/정상영업개시<NA><NA><NA><NA>지에스칼텍스(주) 고덕국제도시주유소경기도 평택시 고덕면 여염리 4311-1경기도 평택시 고덕면 고덕국제2로 5437.047853127.047401주유소
3982022-05-12영업/정상영업개시<NA><NA><NA><NA>토진주유소경기도 평택시 청북읍 토진리 213-34경기도 평택시 청북읍 청원로 12337.040026126.947421주유소
3992023-04-24영업/정상영업개시<NA><NA><NA><NA>미래주유소경기도 평택시 비전동 15 번지2 호<NA>37.011621127.104127주유소
4002023-07-18영업/정상영업개시<NA><NA><NA><NA>지에스칼텍스(주) 소사벌주유소경기도 평택시 소사동 674 번지1 호경기도 평택시 소사5길 114 (소사동)37.015968126.994185주유소
4012024-01-05영업/정상영업개시<NA><NA><NA><NA>주식회사 클린코리아경기사업소경기도 평택시 진위면 하북리 262 번지5 호(주)클린코리아경기도 평택시 진위면 서탄로 43-637.101447127.056663용제판매소
4022024-01-23영업/정상영업개시<NA><NA><NA><NA>(주)더에이치켐경기도 평택시 청북읍 현곡리 9 번지3 호경기도 평택시 청북읍 청북로 161-537.052439126.946437용제판매소
4032024-01-30영업/정상영업개시<NA><NA><NA><NA>새힘주유소경기도 평택시 청북읍 후사리 388 번지5 호경기도 평택시 청북읍 서해로 145337.021769126.942758주유소