Overview

Dataset statistics

Number of variables12
Number of observations379
Missing cells1561
Missing cells (%)34.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.0 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 59 (15.6%) missing valuesMissing
소재지면적 has 162 (42.7%) missing valuesMissing
도로명주소 has 31 (8.2%) missing valuesMissing
폐업일자 has 253 (66.8%) missing valuesMissing
휴업시작 has 349 (92.1%) missing valuesMissing
휴업종료 has 349 (92.1%) missing valuesMissing
재개업일자 has 358 (94.5%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:33:13.787203
Analysis finished2023-12-10 23:33:15.009134
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct366
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T08:33:15.230417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length7.2137203
Min length2

Characters and Unicode

Total characters2734
Distinct characters264
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

Unique353 ?
Unique (%)93.1%

Sample

1st row아주페트로(주)
2nd row비에스석유주식회사
3rd row성보산업
4th row서안에너지
5th row(주)글로벌 성포
ValueCountFrequency (%)
지에스칼텍스(주 5
 
1.1%
직영 5
 
1.1%
광신석유(주 4
 
0.9%
부광주유소 2
 
0.5%
주유소 2
 
0.5%
석유 2
 
0.5%
주)경인석유 2
 
0.5%
고속도로 2
 
0.5%
유성주유소 2
 
0.5%
진영주유소 2
 
0.5%
Other values (397) 412
93.6%
2023-12-11T08:33:15.692162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 349
 
12.8%
유 349
 
12.8%
소 251
 
9.2%
( 106
 
3.9%
) 106
 
3.9%
석 80
 
2.9%
에 75
 
2.7%
지 73
 
2.7%
61
 
2.2%
너 53
 
1.9%
Other values (254) 1231
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2407
88.0%
Open Punctuation 106
 
3.9%
Close Punctuation 106
 
3.9%
Space Separator 61
 
2.2%
Uppercase Letter 33
 
1.2%
Lowercase Letter 10
 
0.4%
Decimal Number 9
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 349
 
14.5%
유 349
 
14.5%
소 251
 
10.4%
석 80
 
3.3%
에 75
 
3.1%
지 73
 
3.0%
너 53
 
2.2%
대 49
 
2.0%
영 32
 
1.3%
동 31
 
1.3%
Other values (234) 1065
44.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
33.3%
K 7
21.2%
C 5
15.2%
I 5
15.2%
O 2
 
6.1%
G 1
 
3.0%
L 1
 
3.0%
Y 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 3
33.3%
9 1
 
11.1%
6 1
 
11.1%
3 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
l 3
30.0%
f 3
30.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2407
88.0%
Common 284
 
10.4%
Latin 43
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 349
 
14.5%
유 349
 
14.5%
소 251
 
10.4%
석 80
 
3.3%
에 75
 
3.1%
지 73
 
3.0%
너 53
 
2.2%
대 49
 
2.0%
영 32
 
1.3%
동 31
 
1.3%
Other values (234) 1065
44.2%
Latin
ValueCountFrequency (%)
S 11
25.6%
K 7
16.3%
C 5
11.6%
I 5
11.6%
e 4
 
9.3%
l 3
 
7.0%
f 3
 
7.0%
O 2
 
4.7%
G 1
 
2.3%
L 1
 
2.3%
Common
ValueCountFrequency (%)
( 106
37.3%
) 106
37.3%
61
21.5%
2 3
 
1.1%
1 3
 
1.1%
- 2
 
0.7%
9 1
 
0.4%
6 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2407
88.0%
ASCII 327
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 349
 
14.5%
유 349
 
14.5%
소 251
 
10.4%
석 80
 
3.3%
에 75
 
3.1%
지 73
 
3.0%
너 53
 
2.2%
대 49
 
2.0%
영 32
 
1.3%
동 31
 
1.3%
Other values (234) 1065
44.2%
ASCII
ValueCountFrequency (%)
( 106
32.4%
) 106
32.4%
61
18.7%
S 11
 
3.4%
K 7
 
2.1%
C 5
 
1.5%
I 5
 
1.5%
e 4
 
1.2%
l 3
 
0.9%
f 3
 
0.9%
Other values (10) 16
 
4.9%

소재지전화
Text

MISSING 

Distinct307
Distinct (%)95.9%
Missing59
Missing (%)15.6%
Memory size3.1 KiB
2023-12-11T08:33:16.012923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3840
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

Unique294 ?
Unique (%)91.9%

Sample

1st row055-343-5270
2nd row055-332-2749
3rd row055-335-1206
4th row055-322-5103
5th row055-337-6578
ValueCountFrequency (%)
055-312-2820 2
 
0.6%
055-336-9769 2
 
0.6%
055-342-5432 2
 
0.6%
055-338-3033 2
 
0.6%
055-326-7663 2
 
0.6%
055-334-8356 2
 
0.6%
055-331-6060 2
 
0.6%
055-323-2201 2
 
0.6%
055-339-5222 2
 
0.6%
055-321-6711 2
 
0.6%
Other values (297) 300
93.8%
2023-12-11T08:33:16.442393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 866
22.6%
- 640
16.7%
3 561
14.6%
0 483
12.6%
2 311
 
8.1%
1 257
 
6.7%
4 199
 
5.2%
6 157
 
4.1%
8 142
 
3.7%
7 120
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3200
83.3%
Dash Punctuation 640
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 866
27.1%
3 561
17.5%
0 483
15.1%
2 311
 
9.7%
1 257
 
8.0%
4 199
 
6.2%
6 157
 
4.9%
8 142
 
4.4%
7 120
 
3.8%
9 104
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 640
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 866
22.6%
- 640
16.7%
3 561
14.6%
0 483
12.6%
2 311
 
8.1%
1 257
 
6.7%
4 199
 
5.2%
6 157
 
4.1%
8 142
 
3.7%
7 120
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 866
22.6%
- 640
16.7%
3 561
14.6%
0 483
12.6%
2 311
 
8.1%
1 257
 
6.7%
4 199
 
5.2%
6 157
 
4.1%
8 142
 
3.7%
7 120
 
3.1%

소재지면적
Real number (ℝ)

MISSING 

Distinct198
Distinct (%)91.2%
Missing162
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean1223.8293
Minimum10
Maximum19746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T08:33:16.669007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile283.2
Q1765
median1007
Q31444
95-th percentile2315.4
Maximum19746
Range19736
Interquartile range (IQR)679

Descriptive statistics

Standard deviation1418.8367
Coefficient of variation (CV)1.1593419
Kurtosis135.49265
Mean1223.8293
Median Absolute Deviation (MAD)363
Skewness10.499356
Sum265570.96
Variance2013097.5
MonotonicityNot monotonic
2023-12-11T08:33:16.870990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
996.0 3
 
0.8%
995.0 3
 
0.8%
2926.0 2
 
0.5%
1000.0 2
 
0.5%
990.0 2
 
0.5%
906.0 2
 
0.5%
960.0 2
 
0.5%
1220.0 2
 
0.5%
1444.0 2
 
0.5%
1309.0 2
 
0.5%
Other values (188) 195
51.5%
(Missing) 162
42.7%
ValueCountFrequency (%)
10.0 1
0.3%
20.0 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%
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%
2954.7 1
0.3%
2928.0 1
0.3%
2926.0 2
0.5%
2912.0 1
0.3%
2757.0 1
0.3%
2349.0 1
0.3%

지번주소
Text

Distinct264
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T08:33:17.127344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length21.627968
Min length15

Characters and Unicode

Total characters8197
Distinct characters115
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)51.2%

Sample

1st row경상남도 김해시 율하동 ****번지
2nd row경상남도 김해시 어방동 ****-*번지
3rd row경상남도 김해시 어방동 ****-*번지
4th row경상남도 김해시 동상동 ***-*번지
5th row경상남도 김해시 어방동 ***
ValueCountFrequency (%)
경상남도 379
21.8%
김해시 379
21.8%
번지 253
14.6%
133
 
7.7%
진영읍 41
 
2.4%
어방동 29
 
1.7%
생림면 22
 
1.3%
주촌면 22
 
1.3%
진례면 20
 
1.2%
한림면 20
 
1.2%
Other values (99) 437
25.2%
2023-12-11T08:33:17.528964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1665
20.3%
1356
16.5%
상 403
 
4.9%
경 381
 
4.6%
해 380
 
4.6%
시 380
 
4.6%
남 379
 
4.6%
도 379
 
4.6%
김 379
 
4.6%
- 330
 
4.0%
Other values (105) 2165
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4817
58.8%
Other Punctuation 1688
 
20.6%
Space Separator 1356
 
16.5%
Dash Punctuation 330
 
4.0%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 403
 
8.4%
경 381
 
7.9%
해 380
 
7.9%
시 380
 
7.9%
남 379
 
7.9%
도 379
 
7.9%
김 379
 
7.9%
동 290
 
6.0%
지 287
 
6.0%
번 257
 
5.3%
Other values (98) 1302
27.0%
Other Punctuation
ValueCountFrequency (%)
* 1665
98.6%
, 21
 
1.2%
. 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%
Space Separator
ValueCountFrequency (%)
1356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4817
58.8%
Common 3374
41.2%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 403
 
8.4%
경 381
 
7.9%
해 380
 
7.9%
시 380
 
7.9%
남 379
 
7.9%
도 379
 
7.9%
김 379
 
7.9%
동 290
 
6.0%
지 287
 
6.0%
번 257
 
5.3%
Other values (98) 1302
27.0%
Common
ValueCountFrequency (%)
* 1665
49.3%
1356
40.2%
- 330
 
9.8%
, 21
 
0.6%
. 2
 
0.1%
Latin
ValueCountFrequency (%)
B 3
50.0%
L 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4817
58.8%
ASCII 3380
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1665
49.3%
1356
40.1%
- 330
 
9.8%
, 21
 
0.6%
B 3
 
0.1%
L 3
 
0.1%
. 2
 
0.1%
Hangul
ValueCountFrequency (%)
상 403
 
8.4%
경 381
 
7.9%
해 380
 
7.9%
시 380
 
7.9%
남 379
 
7.9%
도 379
 
7.9%
김 379
 
7.9%
동 290
 
6.0%
지 287
 
6.0%
번 257
 
5.3%
Other values (98) 1302
27.0%

도로명주소
Text

MISSING 

Distinct181
Distinct (%)52.0%
Missing31
Missing (%)8.2%
Memory size3.1 KiB
2023-12-11T08:33:17.775841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length23.158046
Min length18

Characters and Unicode

Total characters8059
Distinct characters120
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

Unique114 ?
Unique (%)32.8%

Sample

1st row경상남도 김해시 율하*로 ***, ****동 ****호 (율하동, 율현마을동원로얄듀크아파트)
2nd row경상남도 김해시 분성로 *** (어방동)
3rd row경상남도 김해시 분성로***번길 * (어방동)
4th row경상남도 김해시 분성로 *** (동상동)
5th row경상남도 김해시 인제로 ***, ***동 ***호 (어방동)
ValueCountFrequency (%)
경상남도 348
19.7%
348
19.7%
김해시 348
19.7%
김해대로 42
 
2.4%
진영읍 38
 
2.2%
금관대로 27
 
1.5%
어방동 26
 
1.5%
서부로 26
 
1.5%
생림면 22
 
1.2%
한림면 20
 
1.1%
Other values (119) 521
29.5%
2023-12-11T08:33:18.176370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1423
17.7%
* 1312
16.3%
해 406
 
5.0%
김 404
 
5.0%
상 383
 
4.8%
남 352
 
4.4%
경 349
 
4.3%
도 348
 
4.3%
시 348
 
4.3%
로 344
 
4.3%
Other values (110) 2390
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4850
60.2%
Space Separator 1423
 
17.7%
Other Punctuation 1326
 
16.5%
Close Punctuation 211
 
2.6%
Open Punctuation 211
 
2.6%
Dash Punctuation 38
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 406
 
8.4%
김 404
 
8.3%
상 383
 
7.9%
남 352
 
7.3%
경 349
 
7.2%
도 348
 
7.2%
시 348
 
7.2%
로 344
 
7.1%
동 278
 
5.7%
대 131
 
2.7%
Other values (104) 1507
31.1%
Other Punctuation
ValueCountFrequency (%)
* 1312
98.9%
, 14
 
1.1%
Space Separator
ValueCountFrequency (%)
1423
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4850
60.2%
Common 3209
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 406
 
8.4%
김 404
 
8.3%
상 383
 
7.9%
남 352
 
7.3%
경 349
 
7.2%
도 348
 
7.2%
시 348
 
7.2%
로 344
 
7.1%
동 278
 
5.7%
대 131
 
2.7%
Other values (104) 1507
31.1%
Common
ValueCountFrequency (%)
1423
44.3%
* 1312
40.9%
) 211
 
6.6%
( 211
 
6.6%
- 38
 
1.2%
, 14
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4850
60.2%
ASCII 3209
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1423
44.3%
* 1312
40.9%
) 211
 
6.6%
( 211
 
6.6%
- 38
 
1.2%
, 14
 
0.4%
Hangul
ValueCountFrequency (%)
해 406
 
8.4%
김 404
 
8.3%
상 383
 
7.9%
남 352
 
7.3%
경 349
 
7.2%
도 348
 
7.2%
시 348
 
7.2%
로 344
 
7.1%
동 278
 
5.7%
대 131
 
2.7%
Other values (104) 1507
31.1%

영업상태
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
212 
폐업
152 
취소/말소/만료/정지/중지
 
8
휴업
 
7

Length

Max length14
Median length5
Mean length3.9313984
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 212
55.9%
폐업 152
40.1%
취소/말소/만료/정지/중지 8
 
2.1%
휴업 7
 
1.8%

Length

2023-12-11T08:33:18.395006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:18.540703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 212
55.9%
폐업 152
40.1%
취소/말소/만료/정지/중지 8
 
2.1%
휴업 7
 
1.8%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업개시
194 
폐지
152 
휴지사업재개
 
16
등록취소
 
8
사업휴지
 
7

Length

Max length6
Median length4
Mean length3.2823219
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록취소
2nd row등록취소
3rd row등록취소
4th row등록취소
5th row등록취소

Common Values

ValueCountFrequency (%)
영업개시 194
51.2%
폐지 152
40.1%
휴지사업재개 16
 
4.2%
등록취소 8
 
2.1%
사업휴지 7
 
1.8%
신규등록 2
 
0.5%

Length

2023-12-11T08:33:18.697108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:18.843227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업개시 194
51.2%
폐지 152
40.1%
휴지사업재개 16
 
4.2%
등록취소 8
 
2.1%
사업휴지 7
 
1.8%
신규등록 2
 
0.5%

폐업일자
Date

MISSING 

Distinct121
Distinct (%)96.0%
Missing253
Missing (%)66.8%
Memory size3.1 KiB
Minimum2001-07-25 00:00:00
Maximum2021-06-21 00:00:00
2023-12-11T08:33:18.984082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:19.153880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작
Date

MISSING 

Distinct30
Distinct (%)100.0%
Missing349
Missing (%)92.1%
Memory size3.1 KiB
Minimum2009-11-03 00:00:00
Maximum2021-07-20 00:00:00
2023-12-11T08:33:19.304175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:19.455063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

휴업종료
Date

MISSING 

Distinct30
Distinct (%)100.0%
Missing349
Missing (%)92.1%
Memory size3.1 KiB
Minimum2010-12-31 00:00:00
Maximum2022-06-07 00:00:00
2023-12-11T08:33:19.584618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:19.747329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

재개업일자
Date

MISSING 

Distinct21
Distinct (%)100.0%
Missing358
Missing (%)94.5%
Memory size3.1 KiB
Minimum2012-09-11 00:00:00
Maximum2019-11-22 00:00:00
2023-12-11T08:33:19.900162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:33:20.013338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
주유소
285 
일반판매소
82 
용제판매소
 
12

Length

Max length5
Median length3
Mean length3.4960422
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 285
75.2%
일반판매소 82
 
21.6%
용제판매소 12
 
3.2%

Length

2023-12-11T08:33:20.384114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:20.496533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 285
75.2%
일반판매소 82
 
21.6%
용제판매소 12
 
3.2%

Interactions

2023-12-11T08:33:14.362561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:33:20.567503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적영업상태상세영업상태명휴업시작휴업종료재개업일자업태구분
소재지면적1.0000.0000.0001.0001.0001.0000.000
영업상태0.0001.0001.0001.0001.0001.0000.261
상세영업상태명0.0001.0001.0001.0001.0001.0000.513
휴업시작1.0001.0001.0001.0001.0001.0001.000
휴업종료1.0001.0001.0001.0001.0001.0001.000
재개업일자1.0001.0001.0001.0001.0001.0001.000
업태구분0.0000.2610.5131.0001.0001.0001.000
2023-12-11T08:33:20.680589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태업태구분상세영업상태명
영업상태1.0000.2490.997
업태구분0.2491.0000.245
상세영업상태명0.9970.2451.000
2023-12-11T08:33:20.776226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지면적영업상태상세영업상태명업태구분
소재지면적1.0000.0000.0000.000
영업상태0.0001.0000.9970.249
상세영업상태명0.0000.9971.0000.245
업태구분0.0000.2490.2451.000

Missing values

2023-12-11T08:33:14.528235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:33:14.737269image/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.
2023-12-11T08:33:14.909207image/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
0아주페트로(주)<NA><NA>경상남도 김해시 율하동 ****번지경상남도 김해시 율하*로 ***, ****동 ****호 (율하동, 율현마을동원로얄듀크아파트)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>주유소
1비에스석유주식회사<NA><NA>경상남도 김해시 어방동 ****-*번지경상남도 김해시 분성로 *** (어방동)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>주유소
2성보산업<NA><NA>경상남도 김해시 어방동 ****-*번지경상남도 김해시 분성로***번길 * (어방동)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>용제판매소
3서안에너지<NA><NA>경상남도 김해시 동상동 ***-*번지경상남도 김해시 분성로 *** (동상동)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>주유소
4(주)글로벌 성포<NA>10.0경상남도 김해시 어방동 ***경상남도 김해시 인제로 ***, ***동 ***호 (어방동)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>주유소
5(주)대일석유055-343-5270200.0경상남도 김해시 진례면 청천리 ***-*번지경상남도 김해시 진례면 서부로 ***취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>주유소
6김해서부주유소055-332-2749<NA>경상남도 김해시 삼정동 **-*번지 **통*반 청해아파트 ***호경상남도 김해시 활천로**번길 *-*, ***호 (삼정동,청해아파트)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>주유소
7일신에너지055-335-1206<NA>경상남도 김해시 삼정동 **-*번지경상남도 김해시 분성로***번길 * (삼정동)취소/말소/만료/정지/중지등록취소<NA><NA><NA><NA>일반판매소
8금성주유소055-322-5103<NA>경상남도 김해시 어방동 ****-*번지경상남도 김해시 분성로 *** (어방동)휴업사업휴지<NA>2018-08-292019-08-282012-09-18주유소
9영진주유소055-337-6578327.0경상남도 김해시 내동 ***경상남도 김해시 금관대로 **** (내동)휴업사업휴지<NA>2021-05-212022-05-20<NA>주유소
사업장명소재지전화소재지면적지번주소도로명주소영업상태상세영업상태명폐업일자휴업시작휴업종료재개업일자업태구분
369두바이주유소055-344-0110<NA>경상남도 김해시 진례면 산본리 ***경상남도 김해시 진례면 서부로 ***영업/정상휴지사업재개<NA><NA><NA>2017-05-30주유소
370삼방셀프주유소055-311-5411493.8경상남도 김해시 삼방동 **-*경상남도 김해시 삼안로 *** (삼방동)영업/정상휴지사업재개<NA>2019-03-122019-04-302019-04-09주유소
371SK고속주유소055-311-8438995.0경상남도 김해시 진영읍 의전리 ***-*경상남도 김해시 진영읍 서부로 ***영업/정상휴지사업재개<NA>2017-03-012017-03-222017-03-23주유소
372테크노밸리주유소055-343-1097996.0경상남도 김해시 진례면 고모리 ***-*번지경상남도 김해시 진례면 고모로 ***영업/정상휴지사업재개<NA>2015-05-112015-06-302015-06-30주유소
373SK유공석유<NA><NA>경상남도 김해시 한림면 가동리 ***-*번지경상남도 김해시 한림면 가동로 ***-*영업/정상휴지사업재개<NA>2017-02-072019-02-062018-04-02일반판매소
374대윤에너지 가야탑주유소055-332-51931001.3경상남도 김해시 동상동 ***-*경상남도 김해시 가야로 *** (동상동)영업/정상휴지사업재개<NA>2019-10-012020-09-302019-11-01주유소
375(주)가온에너지 힘대로주유소055-331-5168985.0경상남도 김해시 구산동 ***-*번지외*필지경상남도 김해시 김해대로 **** (구산동)영업/정상휴지사업재개<NA>2019-01-012019-07-312019-04-23주유소
376(주)산본주유소055-345-2746741.0경상남도 김해시 진례면 산본리 *-* 외 *필지경상남도 김해시 진례면 고모로 *** (외 *필지)영업/정상휴지사업재개<NA>2018-01-292019-01-282019-08-01주유소
377대진주유소<NA>2349.0경상남도 김해시 진영읍 죽곡리 ***-*번지경상남도 김해시 진영읍 테크노밸리길 *영업/정상휴지사업재개<NA>2016-09-012017-03-12<NA>주유소
378유성주유소055-311-8438906.0경상남도 김해시 주촌면 내삼리 ***경상남도 김해시 주촌면 서부로 ****영업/정상휴지사업재개<NA><NA><NA>2019-11-22주유소