Overview

Dataset statistics

Number of variables12
Number of observations380
Missing cells1518
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.1 KiB
Average record size in memory97.3 B

Variable types

Text4
Numeric1
Categorical3
DateTime4

Dataset

Description김해시 석유판매업 주유소 현황(사업장명, 소재지전화, 소재지면적, 지번주소, 도로명주소, 영업상태, 업태구분 등에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033314

Alerts

영업상태 is highly overall correlated with 상세영업상태명High correlation
상세영업상태명 is highly overall correlated with 영업상태High correlation
소재지전화 has 52 (13.7%) missing valuesMissing
소재지면적 has 134 (35.3%) missing valuesMissing
도로명주소 has 30 (7.9%) missing valuesMissing
폐업일자 has 234 (61.6%) missing valuesMissing
휴업시작 has 356 (93.7%) missing valuesMissing
휴업종료 has 356 (93.7%) missing valuesMissing
재개업일자 has 356 (93.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:33:22.292299
Analysis finished2023-12-10 23:33:23.364748
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct366
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T08:33:23.526624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length7.2473684
Min length2

Characters and Unicode

Total characters2754
Distinct characters265
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)92.6%

Sample

1st row한솔유화 주식회사
2nd row세기상사(주) 빵집주유소
3rd row(주)비에스이
4th row율하2지구주유소
5th row코펜석유화학(주)
ValueCountFrequency (%)
지에스칼텍스(주 5
 
1.1%
광신석유(주 4
 
0.9%
한솔유화(주 4
 
0.9%
직영 4
 
0.9%
유공에너지 2
 
0.5%
한길주유소 2
 
0.5%
김해점 2
 
0.5%
주유소 2
 
0.5%
장유주유소 2
 
0.5%
현대오일뱅크(주 2
 
0.5%
Other values (396) 415
93.5%
2023-12-11T08:33:23.910350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 353
 
12.8%
유 352
 
12.8%
소 253
 
9.2%
( 108
 
3.9%
) 108
 
3.9%
석 77
 
2.8%
지 73
 
2.7%
에 71
 
2.6%
64
 
2.3%
너 52
 
1.9%
Other values (255) 1243
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2425
88.1%
Open Punctuation 108
 
3.9%
Close Punctuation 108
 
3.9%
Space Separator 64
 
2.3%
Uppercase Letter 32
 
1.2%
Lowercase Letter 10
 
0.4%
Decimal Number 5
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 353
 
14.6%
유 352
 
14.5%
소 253
 
10.4%
석 77
 
3.2%
지 73
 
3.0%
에 71
 
2.9%
너 52
 
2.1%
대 51
 
2.1%
성 31
 
1.3%
해 30
 
1.2%
Other values (236) 1082
44.6%
Uppercase Letter
ValueCountFrequency (%)
S 10
31.2%
K 7
21.9%
C 4
 
12.5%
I 4
 
12.5%
G 2
 
6.2%
L 1
 
3.1%
Y 1
 
3.1%
M 1
 
3.1%
V 1
 
3.1%
O 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
f 3
30.0%
l 3
30.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2425
88.1%
Common 287
 
10.4%
Latin 42
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 353
 
14.6%
유 352
 
14.5%
소 253
 
10.4%
석 77
 
3.2%
지 73
 
3.0%
에 71
 
2.9%
너 52
 
2.1%
대 51
 
2.1%
성 31
 
1.3%
해 30
 
1.2%
Other values (236) 1082
44.6%
Latin
ValueCountFrequency (%)
S 10
23.8%
K 7
16.7%
e 4
 
9.5%
C 4
 
9.5%
I 4
 
9.5%
f 3
 
7.1%
l 3
 
7.1%
G 2
 
4.8%
L 1
 
2.4%
Y 1
 
2.4%
Other values (3) 3
 
7.1%
Common
ValueCountFrequency (%)
( 108
37.6%
) 108
37.6%
64
22.3%
2 3
 
1.0%
1 2
 
0.7%
- 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2425
88.1%
ASCII 329
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 353
 
14.6%
유 352
 
14.5%
소 253
 
10.4%
석 77
 
3.2%
지 73
 
3.0%
에 71
 
2.9%
너 52
 
2.1%
대 51
 
2.1%
성 31
 
1.3%
해 30
 
1.2%
Other values (236) 1082
44.6%
ASCII
ValueCountFrequency (%)
( 108
32.8%
) 108
32.8%
64
19.5%
S 10
 
3.0%
K 7
 
2.1%
e 4
 
1.2%
C 4
 
1.2%
I 4
 
1.2%
f 3
 
0.9%
l 3
 
0.9%
Other values (9) 14
 
4.3%

소재지전화
Text

MISSING 

Distinct313
Distinct (%)95.4%
Missing52
Missing (%)13.7%
Memory size3.1 KiB
2023-12-11T08:33:24.171943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3936
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)91.2%

Sample

1st row055-325-1501
2nd row055-312-0995
3rd row055-265-1200
4th row055-342-8770
5th row055-342-8770
ValueCountFrequency (%)
055-325-1501 3
 
0.9%
055-336-9769 2
 
0.6%
055-343-5270 2
 
0.6%
055-334-8356 2
 
0.6%
055-342-5432 2
 
0.6%
055-331-6060 2
 
0.6%
055-338-3033 2
 
0.6%
055-326-7663 2
 
0.6%
055-326-5679 2
 
0.6%
055-339-5222 2
 
0.6%
Other values (304) 308
93.6%
2023-12-11T08:33:24.526419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 897
22.8%
- 656
16.7%
3 572
14.5%
0 507
12.9%
2 314
 
8.0%
1 260
 
6.6%
4 200
 
5.1%
6 150
 
3.8%
8 145
 
3.7%
7 124
 
3.2%
Other values (2) 111
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3279
83.3%
Dash Punctuation 656
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 897
27.4%
3 572
17.4%
0 507
15.5%
2 314
 
9.6%
1 260
 
7.9%
4 200
 
6.1%
6 150
 
4.6%
8 145
 
4.4%
7 124
 
3.8%
9 110
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 897
22.8%
- 656
16.7%
3 572
14.5%
0 507
12.9%
2 314
 
8.0%
1 260
 
6.6%
4 200
 
5.1%
6 150
 
3.8%
8 145
 
3.7%
7 124
 
3.2%
Other values (2) 111
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 897
22.8%
- 656
16.7%
3 572
14.5%
0 507
12.9%
2 314
 
8.0%
1 260
 
6.6%
4 200
 
5.1%
6 150
 
3.8%
8 145
 
3.7%
7 124
 
3.2%
Other values (2) 111
 
2.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)90.2%
Missing134
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean1239.675
Minimum10
Maximum19746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T08:33:24.676252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile317.1
Q1795.75
median1059.335
Q31443
95-th percentile2300
Maximum19746
Range19736
Interquartile range (IQR)647.25

Descriptive statistics

Standard deviation1348.6781
Coefficient of variation (CV)1.0879287
Kurtosis145.60915
Mean1239.675
Median Absolute Deviation (MAD)337
Skewness10.759712
Sum304960.06
Variance1818932.6
MonotonicityNot monotonic
2023-12-11T08:33:24.823415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
995.0 4
 
1.1%
1394.0 3
 
0.8%
996.0 3
 
0.8%
1466.0 2
 
0.5%
1488.0 2
 
0.5%
906.0 2
 
0.5%
1498.0 2
 
0.5%
994.0 2
 
0.5%
1000.0 2
 
0.5%
960.0 2
 
0.5%
Other values (212) 222
58.4%
(Missing) 134
35.3%
ValueCountFrequency (%)
10.0 1
0.3%
27.72 1
0.3%
50.0 1
0.3%
98.0 1
0.3%
100.0 1
0.3%
174.1 1
0.3%
200.0 1
0.3%
218.0 1
0.3%
236.0 1
0.3%
250.0 1
0.3%
ValueCountFrequency (%)
19746.0 1
0.3%
4201.0 1
0.3%
3889.0 1
0.3%
3636.0 1
0.3%
3605.0 1
0.3%
3099.0 1
0.3%
2954.7 1
0.3%
2928.0 1
0.3%
2926.0 1
0.3%
2912.0 1
0.3%

지번주소
Text

Distinct353
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T08:33:25.086613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length25.415789
Min length20

Characters and Unicode

Total characters9658
Distinct characters121
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)86.8%

Sample

1st row경상남도 김해시 지내동 195 번지8 호
2nd row경상남도 김해시 장유동 854 번지
3rd row경상남도 김해시 어방동 1062 번지9 호
4th row경상남도 김해시 장유동 876 번지
5th row경상남도 김해시 외동 1094 번지3 호
ValueCountFrequency (%)
경상남도 380
 
16.1%
김해시 380
 
16.1%
호 248
 
10.5%
번지 107
 
4.5%
번지1 53
 
2.2%
진영읍 41
 
1.7%
어방동 30
 
1.3%
번지2 30
 
1.3%
번지3 29
 
1.2%
번지4 22
 
0.9%
Other values (467) 1044
44.2%
2023-12-11T08:33:25.503411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2590
26.8%
지 407
 
4.2%
상 404
 
4.2%
해 381
 
3.9%
시 381
 
3.9%
경 380
 
3.9%
남 380
 
3.9%
도 380
 
3.9%
김 380
 
3.9%
번 376
 
3.9%
Other values (111) 3599
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5311
55.0%
Space Separator 2590
26.8%
Decimal Number 1649
 
17.1%
Dash Punctuation 69
 
0.7%
Other Punctuation 33
 
0.3%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 407
 
7.7%
상 404
 
7.6%
해 381
 
7.2%
시 381
 
7.2%
경 380
 
7.2%
남 380
 
7.2%
도 380
 
7.2%
김 380
 
7.2%
번 376
 
7.1%
동 288
 
5.4%
Other values (94) 1554
29.3%
Decimal Number
ValueCountFrequency (%)
1 353
21.4%
2 210
12.7%
3 178
10.8%
4 152
9.2%
5 148
9.0%
6 140
 
8.5%
0 129
 
7.8%
9 119
 
7.2%
7 112
 
6.8%
8 108
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 21
63.6%
* 10
30.3%
. 2
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%
Space Separator
ValueCountFrequency (%)
2590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5311
55.0%
Common 4341
44.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 407
 
7.7%
상 404
 
7.6%
해 381
 
7.2%
시 381
 
7.2%
경 380
 
7.2%
남 380
 
7.2%
도 380
 
7.2%
김 380
 
7.2%
번 376
 
7.1%
동 288
 
5.4%
Other values (94) 1554
29.3%
Common
ValueCountFrequency (%)
2590
59.7%
1 353
 
8.1%
2 210
 
4.8%
3 178
 
4.1%
4 152
 
3.5%
5 148
 
3.4%
6 140
 
3.2%
0 129
 
3.0%
9 119
 
2.7%
7 112
 
2.6%
Other values (5) 210
 
4.8%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5311
55.0%
ASCII 4347
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2590
59.6%
1 353
 
8.1%
2 210
 
4.8%
3 178
 
4.1%
4 152
 
3.5%
5 148
 
3.4%
6 140
 
3.2%
0 129
 
3.0%
9 119
 
2.7%
7 112
 
2.6%
Other values (7) 216
 
5.0%
Hangul
ValueCountFrequency (%)
지 407
 
7.7%
상 404
 
7.6%
해 381
 
7.2%
시 381
 
7.2%
경 380
 
7.2%
남 380
 
7.2%
도 380
 
7.2%
김 380
 
7.2%
번 376
 
7.1%
동 288
 
5.4%
Other values (94) 1554
29.3%

도로명주소
Text

MISSING 

Distinct316
Distinct (%)90.3%
Missing30
Missing (%)7.9%
Memory size3.1 KiB
2023-12-11T08:33:25.788873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length23.125714
Min length18

Characters and Unicode

Total characters8094
Distinct characters128
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

Unique287 ?
Unique (%)82.0%

Sample

1st row경상남도 김해시 김해대로2694번길 39 (지내동)
2nd row경상남도 김해시 율하로 443 (장유동)
3rd row경상남도 김해시 분성로541번길 4 (어방동)
4th row경상남도 김해시 율하로 515 (장유동)
5th row경상남도 김해시 금관대로 1140, 2층 (외동)
ValueCountFrequency (%)
경상남도 350
19.7%
김해시 350
19.7%
김해대로 42
 
2.4%
진영읍 38
 
2.1%
금관대로 27
 
1.5%
어방동 27
 
1.5%
서부로 26
 
1.5%
생림면 22
 
1.2%
한림면 20
 
1.1%
주촌면 19
 
1.1%
Other values (427) 853
48.1%
2023-12-11T08:33:26.191764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1429
17.7%
해 409
 
5.1%
김 407
 
5.0%
상 385
 
4.8%
남 354
 
4.4%
경 350
 
4.3%
도 350
 
4.3%
시 350
 
4.3%
로 346
 
4.3%
동 279
 
3.4%
Other values (118) 3435
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4874
60.2%
Space Separator 1429
 
17.7%
Decimal Number 1305
 
16.1%
Close Punctuation 213
 
2.6%
Open Punctuation 213
 
2.6%
Dash Punctuation 37
 
0.5%
Other Punctuation 23
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 409
 
8.4%
김 407
 
8.4%
상 385
 
7.9%
남 354
 
7.3%
경 350
 
7.2%
도 350
 
7.2%
시 350
 
7.2%
로 346
 
7.1%
동 279
 
5.7%
대 132
 
2.7%
Other values (102) 1512
31.0%
Decimal Number
ValueCountFrequency (%)
1 228
17.5%
2 184
14.1%
3 139
10.7%
4 137
10.5%
5 133
10.2%
9 116
8.9%
6 109
8.4%
7 96
7.4%
0 86
 
6.6%
8 77
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 12
52.2%
* 11
47.8%
Space Separator
ValueCountFrequency (%)
1429
100.0%
Close Punctuation
ValueCountFrequency (%)
) 213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4874
60.2%
Common 3220
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 409
 
8.4%
김 407
 
8.4%
상 385
 
7.9%
남 354
 
7.3%
경 350
 
7.2%
도 350
 
7.2%
시 350
 
7.2%
로 346
 
7.1%
동 279
 
5.7%
대 132
 
2.7%
Other values (102) 1512
31.0%
Common
ValueCountFrequency (%)
1429
44.4%
1 228
 
7.1%
) 213
 
6.6%
( 213
 
6.6%
2 184
 
5.7%
3 139
 
4.3%
4 137
 
4.3%
5 133
 
4.1%
9 116
 
3.6%
6 109
 
3.4%
Other values (6) 319
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4874
60.2%
ASCII 3220
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1429
44.4%
1 228
 
7.1%
) 213
 
6.6%
( 213
 
6.6%
2 184
 
5.7%
3 139
 
4.3%
4 137
 
4.3%
5 133
 
4.1%
9 116
 
3.6%
6 109
 
3.4%
Other values (6) 319
 
9.9%
Hangul
ValueCountFrequency (%)
해 409
 
8.4%
김 407
 
8.4%
상 385
 
7.9%
남 354
 
7.3%
경 350
 
7.2%
도 350
 
7.2%
시 350
 
7.2%
로 346
 
7.1%
동 279
 
5.7%
대 132
 
2.7%
Other values (102) 1512
31.0%

영업상태
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
213 
폐업
158 
취소/말소/만료/정지/중지
 
8
휴업
 
1

Length

Max length14
Median length5
Mean length3.9342105
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 213
56.1%
폐업 158
41.6%
취소/말소/만료/정지/중지 8
 
2.1%
휴업 1
 
0.3%

Length

2023-12-11T08:33:26.350937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:26.522243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 213
56.1%
폐업 158
41.6%
취소/말소/만료/정지/중지 8
 
2.1%
휴업 1
 
0.3%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업개시
190 
폐지
158 
휴지사업재개
21 
등록취소
 
8
신규등록
 
2

Length

Max length6
Median length4
Mean length3.2789474
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업개시 190
50.0%
폐지 158
41.6%
휴지사업재개 21
 
5.5%
등록취소 8
 
2.1%
신규등록 2
 
0.5%
사업휴지 1
 
0.3%

Length

2023-12-11T08:33:26.654465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:26.789908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업개시 190
50.0%
폐지 158
41.6%
휴지사업재개 21
 
5.5%
등록취소 8
 
2.1%
신규등록 2
 
0.5%
사업휴지 1
 
0.3%

폐업일자
Date

MISSING 

Distinct140
Distinct (%)95.9%
Missing234
Missing (%)61.6%
Memory size3.1 KiB
Minimum2001-07-25 00:00:00
Maximum2022-07-11 00:00:00
2023-12-11T08:33:26.943913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:27.119471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing356
Missing (%)93.7%
Memory size3.1 KiB
Minimum2009-11-03 00:00:00
Maximum2022-04-01 00:00:00
2023-12-11T08:33:27.285472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:27.439946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업종료
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing356
Missing (%)93.7%
Memory size3.1 KiB
Minimum2010-12-31 00:00:00
Maximum2023-03-31 00:00:00
2023-12-11T08:33:27.591450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:27.711586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

재개업일자
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing356
Missing (%)93.7%
Memory size3.1 KiB
Minimum2012-09-11 00:00:00
Maximum2022-10-21 00:00:00
2023-12-11T08:33:27.876589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:28.002193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
주유소
258 
일반판매소
82 
일반대리점
28 
용제판매소
 
9
용제대리점
 
3

Length

Max length5
Median length3
Mean length3.6421053
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 258
67.9%
일반판매소 82
 
21.6%
일반대리점 28
 
7.4%
용제판매소 9
 
2.4%
용제대리점 3
 
0.8%

Length

2023-12-11T08:33:28.171183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:28.312727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 258
67.9%
일반판매소 82
 
21.6%
일반대리점 28
 
7.4%
용제판매소 9
 
2.4%
용제대리점 3
 
0.8%

Interactions

2023-12-11T08:33:22.832961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:33:28.409273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적영업상태상세영업상태명휴업시작휴업종료재개업일자업태구분
소재지면적1.0000.0000.0001.0001.0001.0000.217
영업상태0.0001.0001.0001.0001.0001.0000.353
상세영업상태명0.0001.0001.0001.0001.0001.0000.368
휴업시작1.0001.0001.0001.0001.0001.0001.000
휴업종료1.0001.0001.0001.0001.0001.0001.000
재개업일자1.0001.0001.0001.0001.0001.0001.000
업태구분0.2170.3530.3681.0001.0001.0001.000
2023-12-11T08:33:28.513304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태업태구분상세영업상태명
영업상태1.0000.2940.997
업태구분0.2941.0000.259
상세영업상태명0.9970.2591.000
2023-12-11T08:33:28.594722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적영업상태상세영업상태명업태구분
소재지면적1.0000.0000.0000.178
영업상태0.0001.0000.9970.294
상세영업상태명0.0000.9971.0000.259
업태구분0.1780.2940.2591.000

Missing values

2023-12-11T08:33:22.970322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:33:23.136505image/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.
2023-12-11T08:33:23.280290image/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

사업장명소재지전화소재지면적지번주소도로명주소영업상태상세영업상태명폐업일자휴업시작휴업종료재개업일자업태구분
0한솔유화 주식회사055-325-1501<NA>경상남도 김해시 지내동 195 번지8 호경상남도 김해시 김해대로2694번길 39 (지내동)영업/정상신규등록<NA><NA><NA><NA>일반대리점
1세기상사(주) 빵집주유소055-312-09951661.6경상남도 김해시 장유동 854 번지경상남도 김해시 율하로 443 (장유동)영업/정상영업개시<NA><NA><NA><NA>주유소
2(주)비에스이<NA><NA>경상남도 김해시 어방동 1062 번지9 호경상남도 김해시 분성로541번길 4 (어방동)영업/정상영업개시<NA><NA><NA><NA>일반판매소
3율하2지구주유소055-265-12001829.0경상남도 김해시 장유동 876 번지경상남도 김해시 율하로 515 (장유동)영업/정상영업개시<NA><NA><NA><NA>주유소
4코펜석유화학(주)<NA><NA>경상남도 김해시 외동 1094 번지3 호경상남도 김해시 금관대로 1140, 2층 (외동)폐업폐지2020-10-21<NA><NA><NA>일반대리점
5(주)에스엔디유통(진영-부산)055-342-87701280.4경상남도 김해시 진영읍 우동리 295 번지경상남도 김해시 진영읍 하계로96번길 68영업/정상영업개시<NA><NA><NA><NA>주유소
6(주)에스엔디유통(진영-기장)055-342-8770525.7경상남도 김해시 진영읍 우동리 295 번지경상남도 김해시 진영읍 하계로96번길 68영업/정상영업개시<NA><NA><NA><NA>주유소
7송정에너지<NA><NA>경상남도 김해시 동상동 634 번지8 호경상남도 김해시 분성로418번길 2 (동상동)영업/정상영업개시<NA><NA><NA><NA>일반판매소
8내트럭(주)김해사업소055-903-26002954.7경상남도 김해시 진영읍 진영리 651 번지1 호경상남도 김해시 진영읍 김해대로 243영업/정상영업개시<NA><NA><NA><NA>주유소
9동양에너지<NA><NA>경상남도 김해시 흥동 48 번지13 호경상남도 김해시 전하로73번길 10 (흥동)영업/정상영업개시<NA><NA><NA><NA>일반판매소
사업장명소재지전화소재지면적지번주소도로명주소영업상태상세영업상태명폐업일자휴업시작휴업종료재개업일자업태구분
370경남주유소055-314-0707236.0경상남도 김해시 무계동 183 번지14 호경상남도 김해시 금관대로 578 (무계동)영업/정상영업개시<NA><NA><NA><NA>주유소
371명동주유소055-345-86001309.0경상남도 김해시 한림면 명동리 1065-3 번지경상남도 김해시 한림면 김해대로 1161영업/정상영업개시<NA><NA><NA><NA>주유소
372장유농협 석유<NA><NA>경상남도 김해시 무계동 183-4외 2 번지경상남도 김해시 장유로 287 (무계동)폐업폐지2014-12-30<NA><NA><NA>일반판매소
373한림주유소055-342-6023368.9경상남도 김해시 한림면 장방리 1322 번지경상남도 김해시 한림면 한림로 425영업/정상영업개시<NA><NA><NA><NA>주유소
374풀무원식품(주) 장유(부산)주유소055-323-08781466.0경상남도 김해시 부곡동 산53 번지1 호경상남도 김해시 장유로116번길 44-82 (부곡동)영업/정상영업개시<NA><NA><NA><NA>주유소
375장유주유소055-329-240098.0경상남도 김해시 무계동 160-10 번지<NA>폐업폐지2003-05-21<NA><NA><NA>주유소
376보성주유소055-343-2492416.0경상남도 김해시 진영읍 진영리 553-2 번지경상남도 김해시 진영읍 진영로 48영업/정상영업개시<NA><NA><NA><NA>주유소
377화성석유055-335-5000<NA>경상남도 김해시 대동면 초정리 638 번지1 호경상남도 김해시 대동면 대동로 519영업/정상영업개시<NA><NA><NA><NA>일반판매소
378중앙석유055-331-6060<NA>경상남도 김해시 대동면 주중리 251 번지<NA>폐업폐지2007-06-18<NA><NA><NA>일반판매소
379진영주유소055-343-2212906.0경상남도 김해시 진영읍 여래리 708-4 번지<NA>폐업폐지2006-07-07<NA><NA><NA>주유소