Overview

Dataset statistics

Number of variables18
Number of observations3588
Missing cells4241
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory511.7 KiB
Average record size in memory146.0 B

Variable types

Text6
Categorical10
Numeric2

Alerts

시도명 has constant value ""Constant
세차요금정보 is highly overall correlated with 시군구명 and 5 other fieldsHigh correlation
세차유형 is highly overall correlated with 시군구명 and 5 other fieldsHigh correlation
휴일운영시작시각 is highly overall correlated with 시군구명 and 6 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
휴무일 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
평일운영시작시각 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
시군구명 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
위도 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
평일운영종료시각 is highly overall correlated with 세차유형 and 5 other fieldsHigh correlation
휴일운영종료시각 is highly overall correlated with 세차유형 and 5 other fieldsHigh correlation
휴무일 is highly imbalanced (92.1%)Imbalance
평일운영시작시각 is highly imbalanced (79.0%)Imbalance
평일운영종료시각 is highly imbalanced (84.5%)Imbalance
휴일운영시작시각 is highly imbalanced (85.8%)Imbalance
휴일운영종료시각 is highly imbalanced (89.0%)Imbalance
세차요금정보 is highly imbalanced (95.2%)Imbalance
대표자명 has 2194 (61.1%) missing valuesMissing
세차장전화번호 has 2036 (56.7%) missing valuesMissing

Reproduction

Analysis started2024-05-17 19:19:50.805031
Analysis finished2024-05-17 19:19:57.109707
Duration6.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct3400
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
2024-05-18T04:19:57.419855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length7.9556856
Min length2

Characters and Unicode

Total characters28545
Distinct characters642
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3268 ?
Unique (%)91.1%

Sample

1st row아리아세차
2nd row미래셀프세차장
3rd row조종세차장
4th row조은세차장
5th row기아세차장
ValueCountFrequency (%)
주식회사 50
 
1.2%
현대오일뱅크㈜직영 26
 
0.6%
세차장 23
 
0.5%
워시존 18
 
0.4%
직영 14
 
0.3%
애니카랜드 12
 
0.3%
컴인워시 9
 
0.2%
현대세차장 9
 
0.2%
셀프세차장 8
 
0.2%
주유소 8
 
0.2%
Other values (3734) 4166
95.9%
2024-05-18T04:19:58.449438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1630
 
5.7%
소 1418
 
5.0%
유 1334
 
4.7%
차 1172
 
4.1%
세 935
 
3.3%
장 776
 
2.7%
757
 
2.7%
스 562
 
2.0%
㈜ 523
 
1.8%
) 460
 
1.6%
Other values (632) 18978
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24987
87.5%
Uppercase Letter 768
 
2.7%
Space Separator 757
 
2.7%
Other Symbol 523
 
1.8%
Close Punctuation 480
 
1.7%
Open Punctuation 480
 
1.7%
Decimal Number 266
 
0.9%
Lowercase Letter 175
 
0.6%
Other Punctuation 98
 
0.3%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1630
 
6.5%
소 1418
 
5.7%
유 1334
 
5.3%
차 1172
 
4.7%
세 935
 
3.7%
장 776
 
3.1%
스 562
 
2.2%
지 429
 
1.7%
동 421
 
1.7%
대 412
 
1.6%
Other values (561) 15898
63.6%
Uppercase Letter
ValueCountFrequency (%)
S 134
17.4%
K 110
14.3%
G 66
 
8.6%
L 61
 
7.9%
P 55
 
7.2%
C 44
 
5.7%
O 36
 
4.7%
I 35
 
4.6%
E 31
 
4.0%
H 24
 
3.1%
Other values (15) 172
22.4%
Lowercase Letter
ValueCountFrequency (%)
e 29
16.6%
s 16
 
9.1%
a 15
 
8.6%
r 15
 
8.6%
l 12
 
6.9%
t 11
 
6.3%
f 10
 
5.7%
n 9
 
5.1%
o 8
 
4.6%
i 8
 
4.6%
Other values (11) 42
24.0%
Decimal Number
ValueCountFrequency (%)
2 77
28.9%
1 64
24.1%
4 41
15.4%
5 21
 
7.9%
8 14
 
5.3%
9 12
 
4.5%
7 11
 
4.1%
0 10
 
3.8%
3 8
 
3.0%
6 8
 
3.0%
Other Punctuation
ValueCountFrequency (%)
: 58
59.2%
. 12
 
12.2%
& 9
 
9.2%
, 9
 
9.2%
' 6
 
6.1%
? 2
 
2.0%
· 1
 
1.0%
＆ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 460
95.8%
] 20
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 459
95.6%
[ 21
 
4.4%
Space Separator
ValueCountFrequency (%)
757
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25509
89.4%
Common 2092
 
7.3%
Latin 943
 
3.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1630
 
6.4%
소 1418
 
5.6%
유 1334
 
5.2%
차 1172
 
4.6%
세 935
 
3.7%
장 776
 
3.0%
스 562
 
2.2%
㈜ 523
 
2.1%
지 429
 
1.7%
동 421
 
1.7%
Other values (561) 16309
63.9%
Latin
ValueCountFrequency (%)
S 134
 
14.2%
K 110
 
11.7%
G 66
 
7.0%
L 61
 
6.5%
P 55
 
5.8%
C 44
 
4.7%
O 36
 
3.8%
I 35
 
3.7%
E 31
 
3.3%
e 29
 
3.1%
Other values (36) 342
36.3%
Common
ValueCountFrequency (%)
757
36.2%
) 460
22.0%
( 459
21.9%
2 77
 
3.7%
1 64
 
3.1%
: 58
 
2.8%
4 41
 
2.0%
5 21
 
1.0%
[ 21
 
1.0%
] 20
 
1.0%
Other values (14) 114
 
5.4%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24986
87.5%
ASCII 3033
 
10.6%
None 525
 
1.8%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1630
 
6.5%
소 1418
 
5.7%
유 1334
 
5.3%
차 1172
 
4.7%
세 935
 
3.7%
장 776
 
3.1%
스 562
 
2.2%
지 429
 
1.7%
동 421
 
1.7%
대 412
 
1.6%
Other values (560) 15897
63.6%
ASCII
ValueCountFrequency (%)
757
25.0%
) 460
15.2%
( 459
15.1%
S 134
 
4.4%
K 110
 
3.6%
2 77
 
2.5%
G 66
 
2.2%
1 64
 
2.1%
L 61
 
2.0%
: 58
 
1.9%
Other values (58) 787
25.9%
None
ValueCountFrequency (%)
㈜ 523
99.6%
· 1
 
0.2%
＆ 1
 
0.2%
CJK
ValueCountFrequency (%)
美 1
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
경기도
3588 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 3588
100.0%

Length

2024-05-18T04:19:58.811823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:19:59.058875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 3588
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
고양시
318 
화성시
316 
평택시
282 
수원시
233 
남양주시
 
202
Other values (26)
2237 

Length

Max length4
Median length3
Mean length3.0872352
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 318
 
8.9%
화성시 316
 
8.8%
평택시 282
 
7.9%
수원시 233
 
6.5%
남양주시 202
 
5.6%
김포시 201
 
5.6%
파주시 169
 
4.7%
양주시 151
 
4.2%
성남시 149
 
4.2%
광주시 147
 
4.1%
Other values (21) 1420
39.6%

Length

2024-05-18T04:19:59.333112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 318
 
8.9%
화성시 316
 
8.8%
평택시 282
 
7.9%
수원시 233
 
6.5%
남양주시 202
 
5.6%
김포시 201
 
5.6%
파주시 169
 
4.7%
양주시 151
 
4.2%
성남시 149
 
4.2%
광주시 147
 
4.1%
Other values (21) 1420
39.6%

사업장업종명
Text

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
2024-05-18T04:19:59.694974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.0699554
Min length1

Characters and Unicode

Total characters18191
Distinct characters63
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.4%

Sample

1st row세차장
2nd row세차장
3rd row세차장
4th row세차장
5th row세차장
ValueCountFrequency (%)
세차장 933
19.2%
세차업 837
17.2%
주유소 788
16.2%
자동차 705
14.5%
운영업 219
 
4.5%
해당부서 147
 
3.0%
정보미제공 147
 
3.0%
정비업소 129
 
2.7%
차량용 125
 
2.6%
운수세차 116
 
2.4%
Other values (47) 710
14.6%
2024-05-18T04:20:00.530555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 3254
17.9%
세 2338
12.9%
업 1352
 
7.4%
1268
 
7.0%
장 1094
 
6.0%
소 1075
 
5.9%
유 850
 
4.7%
주 838
 
4.6%
자 766
 
4.2%
동 766
 
4.2%
Other values (53) 4590
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16639
91.5%
Space Separator 1268
 
7.0%
Open Punctuation 142
 
0.8%
Close Punctuation 142
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 3254
19.6%
세 2338
14.1%
업 1352
 
8.1%
장 1094
 
6.6%
소 1075
 
6.5%
유 850
 
5.1%
주 838
 
5.0%
자 766
 
4.6%
동 766
 
4.6%
운 486
 
2.9%
Other values (50) 3820
23.0%
Space Separator
ValueCountFrequency (%)
1268
100.0%
Open Punctuation
ValueCountFrequency (%)
( 142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16639
91.5%
Common 1552
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 3254
19.6%
세 2338
14.1%
업 1352
 
8.1%
장 1094
 
6.6%
소 1075
 
6.5%
유 850
 
5.1%
주 838
 
5.0%
자 766
 
4.6%
동 766
 
4.6%
운 486
 
2.9%
Other values (50) 3820
23.0%
Common
ValueCountFrequency (%)
1268
81.7%
( 142
 
9.1%
) 142
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16639
91.5%
ASCII 1552
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 3254
19.6%
세 2338
14.1%
업 1352
 
8.1%
장 1094
 
6.6%
소 1075
 
6.5%
유 850
 
5.1%
주 838
 
5.0%
자 766
 
4.6%
동 766
 
4.6%
운 486
 
2.9%
Other values (50) 3820
23.0%
ASCII
ValueCountFrequency (%)
1268
81.7%
( 142
 
9.1%
) 142
 
9.1%

세차유형
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
2292 
자동차세차
395 
세차
318 
자동세차
311 
손세차
 
137
Other values (3)
 
135

Length

Max length8
Median length4
Mean length3.8968785
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2292
63.9%
자동차세차 395
 
11.0%
세차 318
 
8.9%
자동세차 311
 
8.7%
손세차 137
 
3.8%
셀프세차 133
 
3.7%
손세차/셀프세차 1
 
< 0.1%
손세차/자동세차 1
 
< 0.1%

Length

2024-05-18T04:20:00.952124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:20:01.548938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2292
63.9%
자동차세차 395
 
11.0%
세차 318
 
8.9%
자동세차 311
 
8.7%
손세차 137
 
3.8%
셀프세차 133
 
3.7%
손세차/셀프세차 1
 
< 0.1%
손세차/자동세차 1
 
< 0.1%

소재지도로명주소
Text

Distinct3531
Distinct (%)98.5%
Missing5
Missing (%)0.1%
Memory size28.2 KiB
2024-05-18T04:20:02.047452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length19.175551
Min length13

Characters and Unicode

Total characters68706
Distinct characters358
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

Unique3480 ?
Unique (%)97.1%

Sample

1st row경기도 가평군 가평읍 연인2길 3
2nd row경기도 가평군 설악면 한서로 96
3rd row경기도 가평군 조종면 청군로 1188-5
4th row경기도 가평군 조종면 현창로 66
5th row경기도 가평군 청평면 경춘로 781
ValueCountFrequency (%)
경기도 3584
 
21.3%
고양시 318
 
1.9%
화성시 316
 
1.9%
평택시 282
 
1.7%
수원시 233
 
1.4%
남양주시 202
 
1.2%
김포시 201
 
1.2%
권선구 181
 
1.1%
파주시 169
 
1.0%
양주시 151
 
0.9%
Other values (3313) 11180
66.5%
2024-05-18T04:20:02.984770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13241
19.3%
경 3813
 
5.5%
도 3704
 
5.4%
시 3668
 
5.3%
기 3655
 
5.3%
로 3314
 
4.8%
1 2439
 
3.5%
2 1570
 
2.3%
3 1360
 
2.0%
양 1178
 
1.7%
Other values (348) 30764
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42341
61.6%
Space Separator 13241
 
19.3%
Decimal Number 12234
 
17.8%
Dash Punctuation 540
 
0.8%
Close Punctuation 161
 
0.2%
Open Punctuation 161
 
0.2%
Other Punctuation 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 3813
 
9.0%
도 3704
 
8.7%
시 3668
 
8.7%
기 3655
 
8.6%
로 3314
 
7.8%
양 1178
 
2.8%
구 1041
 
2.5%
성 766
 
1.8%
주 759
 
1.8%
남 694
 
1.6%
Other values (332) 19749
46.6%
Decimal Number
ValueCountFrequency (%)
1 2439
19.9%
2 1570
12.8%
3 1360
11.1%
5 1085
8.9%
4 1078
8.8%
6 1055
8.6%
7 971
 
7.9%
0 905
 
7.4%
9 898
 
7.3%
8 873
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 18
64.3%
. 10
35.7%
Space Separator
ValueCountFrequency (%)
13241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42341
61.6%
Common 26365
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 3813
 
9.0%
도 3704
 
8.7%
시 3668
 
8.7%
기 3655
 
8.6%
로 3314
 
7.8%
양 1178
 
2.8%
구 1041
 
2.5%
성 766
 
1.8%
주 759
 
1.8%
남 694
 
1.6%
Other values (332) 19749
46.6%
Common
ValueCountFrequency (%)
13241
50.2%
1 2439
 
9.3%
2 1570
 
6.0%
3 1360
 
5.2%
5 1085
 
4.1%
4 1078
 
4.1%
6 1055
 
4.0%
7 971
 
3.7%
0 905
 
3.4%
9 898
 
3.4%
Other values (6) 1763
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42341
61.6%
ASCII 26365
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13241
50.2%
1 2439
 
9.3%
2 1570
 
6.0%
3 1360
 
5.2%
5 1085
 
4.1%
4 1078
 
4.1%
6 1055
 
4.0%
7 971
 
3.7%
0 905
 
3.4%
9 898
 
3.4%
Other values (6) 1763
 
6.7%
Hangul
ValueCountFrequency (%)
경 3813
 
9.0%
도 3704
 
8.7%
시 3668
 
8.7%
기 3655
 
8.6%
로 3314
 
7.8%
양 1178
 
2.8%
구 1041
 
2.5%
성 766
 
1.8%
주 759
 
1.8%
남 694
 
1.6%
Other values (332) 19749
46.6%

휴무일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
3445 
없음
 
80
명절, 일요일
 
25
일요일
 
11
연중무휴
 
9
Other values (13)
 
18

Length

Max length22
Median length4
Mean length3.9765886
Min length2

Unique

Unique11 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3445
96.0%
없음 80
 
2.2%
명절, 일요일 25
 
0.7%
일요일 11
 
0.3%
연중무휴 9
 
0.3%
무휴 5
 
0.1%
60일 2
 
0.1%
75일 1
 
< 0.1%
1, 3주 일요일 1
 
< 0.1%
50일(일요일) 1
 
< 0.1%
Other values (8) 8
 
0.2%

Length

2024-05-18T04:20:03.423033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3445
95.2%
없음 80
 
2.2%
일요일 37
 
1.0%
명절 26
 
0.7%
연중무휴 9
 
0.2%
무휴 5
 
0.1%
60일 2
 
0.1%
구리시 1
 
< 0.1%
각각2일 1
 
< 0.1%
설추석명절 1
 
< 0.1%
Other values (13) 13
 
0.4%

평일운영시작시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
3223 
09:00
 
319
10:00
 
36
00:00
 
7
08:30
 
2

Length

Max length5
Median length4
Mean length4.101728
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3223
89.8%
09:00 319
 
8.9%
10:00 36
 
1.0%
00:00 7
 
0.2%
08:30 2
 
0.1%
08:00 1
 
< 0.1%

Length

2024-05-18T04:20:03.840654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:20:04.198921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3223
89.8%
09:00 319
 
8.9%
10:00 36
 
1.0%
00:00 7
 
0.2%
08:30 2
 
0.1%
08:00 1
 
< 0.1%

평일운영종료시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
3223 
18:00
335 
20:00
 
11
00:00
 
7
17:00
 
3
Other values (6)
 
9

Length

Max length5
Median length4
Mean length4.101728
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3223
89.8%
18:00 335
 
9.3%
20:00 11
 
0.3%
00:00 7
 
0.2%
17:00 3
 
0.1%
22:00 3
 
0.1%
18:30 2
 
0.1%
23:00 1
 
< 0.1%
19:00 1
 
< 0.1%
21:30 1
 
< 0.1%

Length

2024-05-18T04:20:04.583078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3223
89.8%
18:00 335
 
9.3%
20:00 11
 
0.3%
00:00 7
 
0.2%
17:00 3
 
0.1%
22:00 3
 
0.1%
18:30 2
 
0.1%
23:00 1
 
< 0.1%
19:00 1
 
< 0.1%
21:30 1
 
< 0.1%

휴일운영시작시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
3385 
09:00
 
158
10:00
 
37
00:00
 
6
08:30
 
1

Length

Max length5
Median length4
Mean length4.0565775
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3385
94.3%
09:00 158
 
4.4%
10:00 37
 
1.0%
00:00 6
 
0.2%
08:30 1
 
< 0.1%
08:00 1
 
< 0.1%

Length

2024-05-18T04:20:04.940543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:20:05.257890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3385
94.3%
09:00 158
 
4.4%
10:00 37
 
1.0%
00:00 6
 
0.2%
08:30 1
 
< 0.1%
08:00 1
 
< 0.1%

휴일운영종료시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
3385 
18:00
 
176
20:00
 
10
00:00
 
7
17:00
 
3
Other values (5)
 
7

Length

Max length5
Median length4
Mean length4.0565775
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3385
94.3%
18:00 176
 
4.9%
20:00 10
 
0.3%
00:00 7
 
0.2%
17:00 3
 
0.1%
22:00 3
 
0.1%
16:00 1
 
< 0.1%
18:30 1
 
< 0.1%
23:00 1
 
< 0.1%
21:30 1
 
< 0.1%

Length

2024-05-18T04:20:05.608304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:20:06.074588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3385
94.3%
18:00 176
 
4.9%
20:00 10
 
0.3%
00:00 7
 
0.2%
17:00 3
 
0.1%
22:00 3
 
0.1%
16:00 1
 
< 0.1%
18:30 1
 
< 0.1%
23:00 1
 
< 0.1%
21:30 1
 
< 0.1%

세차요금정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
<NA>
3538 
25000-50000원
 
34
5000원/대
 
11
4000~10000
 
3
6000원/대
 
1

Length

Max length25
Median length4
Mean length4.0967113
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3538
98.6%
25000-50000원 34
 
0.9%
5000원/대 11
 
0.3%
4000~10000 3
 
0.1%
6000원/대 1
 
< 0.1%
셀프1500~, 손세차 17000~30000원 1
 
< 0.1%

Length

2024-05-18T04:20:06.477075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:20:06.838061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3538
98.6%
25000-50000원 34
 
0.9%
5000원/대 11
 
0.3%
4000~10000 3
 
0.1%
6000원/대 1
 
< 0.1%
셀프1500 1
 
< 0.1%
손세차 1
 
< 0.1%
17000~30000원 1
 
< 0.1%

대표자명
Text

MISSING 

Distinct1124
Distinct (%)80.6%
Missing2194
Missing (%)61.1%
Memory size28.2 KiB
2024-05-18T04:20:07.971677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.3070301
Min length2

Characters and Unicode

Total characters4610
Distinct characters257
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1065 ?
Unique (%)76.4%

Sample

1st row김철준
2nd row김금옥
3rd row김천성
4th row박삼성
5th row임광혁
ValueCountFrequency (%)
대표이사 189
 
13.1%
외 13
 
0.9%
대표 12
 
0.8%
1인 9
 
0.6%
조합장 7
 
0.5%
강달호 6
 
0.4%
1명 4
 
0.3%
김천웅 3
 
0.2%
단장 3
 
0.2%
김영일 3
 
0.2%
Other values (1134) 1196
82.8%
2024-05-18T04:20:09.225603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 366
 
7.9%
김 242
 
5.2%
대 221
 
4.8%
표 209
 
4.5%
사 194
 
4.2%
영 113
 
2.5%
박 112
 
2.4%
정 101
 
2.2%
성 80
 
1.7%
호 67
 
1.5%
Other values (247) 2905
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4489
97.4%
Space Separator 51
 
1.1%
Decimal Number 36
 
0.8%
Uppercase Letter 13
 
0.3%
Other Punctuation 11
 
0.2%
Other Symbol 4
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 366
 
8.2%
김 242
 
5.4%
대 221
 
4.9%
표 209
 
4.7%
사 194
 
4.3%
영 113
 
2.5%
박 112
 
2.5%
정 101
 
2.2%
성 80
 
1.8%
호 67
 
1.5%
Other values (229) 2784
62.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
N 2
15.4%
A 2
15.4%
H 2
15.4%
K 1
 
7.7%
I 1
 
7.7%
U 1
 
7.7%
Y 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 27
75.0%
2 6
 
16.7%
7 1
 
2.8%
6 1
 
2.8%
3 1
 
2.8%
Space Separator
ValueCountFrequency (%)
51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4493
97.5%
Common 104
 
2.3%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 366
 
8.1%
김 242
 
5.4%
대 221
 
4.9%
표 209
 
4.7%
사 194
 
4.3%
영 113
 
2.5%
박 112
 
2.5%
정 101
 
2.2%
성 80
 
1.8%
호 67
 
1.5%
Other values (230) 2788
62.1%
Common
ValueCountFrequency (%)
51
49.0%
1 27
26.0%
, 11
 
10.6%
2 6
 
5.8%
) 3
 
2.9%
( 3
 
2.9%
7 1
 
1.0%
6 1
 
1.0%
3 1
 
1.0%
Latin
ValueCountFrequency (%)
S 3
23.1%
N 2
15.4%
A 2
15.4%
H 2
15.4%
K 1
 
7.7%
I 1
 
7.7%
U 1
 
7.7%
Y 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4489
97.4%
ASCII 117
 
2.5%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 366
 
8.2%
김 242
 
5.4%
대 221
 
4.9%
표 209
 
4.7%
사 194
 
4.3%
영 113
 
2.5%
박 112
 
2.5%
정 101
 
2.2%
성 80
 
1.8%
호 67
 
1.5%
Other values (229) 2784
62.0%
ASCII
ValueCountFrequency (%)
51
43.6%
1 27
23.1%
, 11
 
9.4%
2 6
 
5.1%
S 3
 
2.6%
) 3
 
2.6%
( 3
 
2.6%
N 2
 
1.7%
A 2
 
1.7%
H 2
 
1.7%
Other values (7) 7
 
6.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

세차장전화번호
Text

MISSING 

Distinct1509
Distinct (%)97.2%
Missing2036
Missing (%)56.7%
Memory size28.2 KiB
2024-05-18T04:20:09.758257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.002577
Min length9

Characters and Unicode

Total characters18628
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

Unique1480 ?
Unique (%)95.4%

Sample

1st row031-582-1076
2nd row031-584-3977
3rd row031-585-0998
4th row031-585-0998
5th row031-582-6611
ValueCountFrequency (%)
000-000-0000 11
 
0.7%
031-828-2672 5
 
0.3%
031-720-4262 3
 
0.2%
032-454-6216 3
 
0.2%
031-585-0998 2
 
0.1%
031-272-3700 2
 
0.1%
031-855-5052 2
 
0.1%
031-000-0000 2
 
0.1%
031-826-4989 2
 
0.1%
031-592-3947 2
 
0.1%
Other values (1499) 1518
97.8%
2024-05-18T04:20:10.805429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3103
16.7%
0 2640
14.2%
1 2472
13.3%
3 2382
12.8%
5 1459
7.8%
8 1320
7.1%
7 1216
 
6.5%
2 1149
 
6.2%
6 1067
 
5.7%
4 984
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15525
83.3%
Dash Punctuation 3103
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2640
17.0%
1 2472
15.9%
3 2382
15.3%
5 1459
9.4%
8 1320
8.5%
7 1216
7.8%
2 1149
7.4%
6 1067
6.9%
4 984
 
6.3%
9 836
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 3103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3103
16.7%
0 2640
14.2%
1 2472
13.3%
3 2382
12.8%
5 1459
7.8%
8 1320
7.1%
7 1216
 
6.5%
2 1149
 
6.2%
6 1067
 
5.7%
4 984
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3103
16.7%
0 2640
14.2%
1 2472
13.3%
3 2382
12.8%
5 1459
7.8%
8 1320
7.1%
7 1216
 
6.5%
2 1149
 
6.2%
6 1067
 
5.7%
4 984
 
5.3%

수질허가번호
Text

Distinct3314
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
2024-05-18T04:20:11.470934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length8.3924192
Min length1

Characters and Unicode

Total characters30112
Distinct characters46
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3064 ?
Unique (%)85.4%

Sample

1st row86-1
2nd row2008-3
3rd row1-51-2
4th row1-83-2
5th row85-1
ValueCountFrequency (%)
신고 240
 
6.1%
허가 78
 
2.0%
2005-00003 4
 
0.1%
343 4
 
0.1%
228 4
 
0.1%
mar-96 3
 
0.1%
133 3
 
0.1%
833 3
 
0.1%
1038 3
 
0.1%
858 3
 
0.1%
Other values (3294) 3564
91.2%
2024-05-18T04:20:12.524700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9342
31.0%
2 4247
14.1%
- 3431
 
11.4%
1 2974
 
9.9%
3 1638
 
5.4%
4 1349
 
4.5%
9 1346
 
4.5%
8 1122
 
3.7%
6 1096
 
3.6%
5 993
 
3.3%
Other values (36) 2574
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24972
82.9%
Dash Punctuation 3431
 
11.4%
Other Letter 1225
 
4.1%
Space Separator 321
 
1.1%
Lowercase Letter 106
 
0.4%
Uppercase Letter 53
 
0.2%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 18
17.0%
n 14
13.2%
e 14
13.2%
r 12
11.3%
u 11
10.4%
p 10
9.4%
c 7
 
6.6%
b 5
 
4.7%
y 4
 
3.8%
t 4
 
3.8%
Other values (3) 7
 
6.6%
Other Letter
ValueCountFrequency (%)
신 258
21.1%
고 241
19.7%
호 202
16.5%
제 161
13.1%
폐 119
9.7%
가 79
 
6.4%
허 79
 
6.4%
풍 42
 
3.4%
양 42
 
3.4%
ㅠ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 9342
37.4%
2 4247
17.0%
1 2974
 
11.9%
3 1638
 
6.6%
4 1349
 
5.4%
9 1346
 
5.4%
8 1122
 
4.5%
6 1096
 
4.4%
5 993
 
4.0%
7 865
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
J 14
26.4%
M 12
22.6%
A 7
13.2%
S 6
11.3%
F 5
 
9.4%
O 4
 
7.5%
D 3
 
5.7%
N 2
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 3431
100.0%
Space Separator
ValueCountFrequency (%)
321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28728
95.4%
Hangul 1225
 
4.1%
Latin 159
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 18
11.3%
n 14
 
8.8%
J 14
 
8.8%
e 14
 
8.8%
M 12
 
7.5%
r 12
 
7.5%
u 11
 
6.9%
p 10
 
6.3%
c 7
 
4.4%
A 7
 
4.4%
Other values (11) 40
25.2%
Common
ValueCountFrequency (%)
0 9342
32.5%
2 4247
14.8%
- 3431
 
11.9%
1 2974
 
10.4%
3 1638
 
5.7%
4 1349
 
4.7%
9 1346
 
4.7%
8 1122
 
3.9%
6 1096
 
3.8%
5 993
 
3.5%
Other values (4) 1190
 
4.1%
Hangul
ValueCountFrequency (%)
신 258
21.1%
고 241
19.7%
호 202
16.5%
제 161
13.1%
폐 119
9.7%
가 79
 
6.4%
허 79
 
6.4%
풍 42
 
3.4%
양 42
 
3.4%
ㅠ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28887
95.9%
Hangul 1224
 
4.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9342
32.3%
2 4247
14.7%
- 3431
 
11.9%
1 2974
 
10.3%
3 1638
 
5.7%
4 1349
 
4.7%
9 1346
 
4.7%
8 1122
 
3.9%
6 1096
 
3.8%
5 993
 
3.4%
Other values (25) 1349
 
4.7%
Hangul
ValueCountFrequency (%)
신 258
21.1%
고 241
19.7%
호 202
16.5%
제 161
13.2%
폐 119
9.7%
가 79
 
6.5%
허 79
 
6.5%
풍 42
 
3.4%
양 42
 
3.4%
페 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㅠ 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct3545
Distinct (%)98.9%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean37.44664
Minimum36.938169
Maximum38.214751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.7 KiB
2024-05-18T04:20:13.000439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.938169
5-th percentile37.007106
Q137.25388
median37.41701
Q337.673418
95-th percentile37.835917
Maximum38.214751
Range1.2765822
Interquartile range (IQR)0.41953824

Descriptive statistics

Standard deviation0.26081143
Coefficient of variation (CV)0.0069648821
Kurtosis-0.89622231
Mean37.44664
Median Absolute Deviation (MAD)0.21811338
Skewness0.01653437
Sum134246.2
Variance0.068022604
MonotonicityNot monotonic
2024-05-18T04:20:13.469625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.41103002 2
 
0.1%
37.1674882338 2
 
0.1%
37.3422947995 2
 
0.1%
37.1607414331 2
 
0.1%
37.27713478 2
 
0.1%
37.50144107 2
 
0.1%
37.49387116 2
 
0.1%
37.12193004 2
 
0.1%
37.20246884 2
 
0.1%
37.23064736 2
 
0.1%
Other values (3535) 3565
99.4%
(Missing) 3
 
0.1%
ValueCountFrequency (%)
36.9381687529 1
< 0.1%
36.9427506694 1
< 0.1%
36.9430831869 1
< 0.1%
36.9452240329 1
< 0.1%
36.945812915 1
< 0.1%
36.947085248 1
< 0.1%
36.949845314 1
< 0.1%
36.9501876097 1
< 0.1%
36.951432 1
< 0.1%
36.9519059377 1
< 0.1%
ValueCountFrequency (%)
38.214751 1
< 0.1%
38.18410986 1
< 0.1%
38.18243712 1
< 0.1%
38.1540569 1
< 0.1%
38.14440977 1
< 0.1%
38.10888248 1
< 0.1%
38.10710217 1
< 0.1%
38.10119938 1
< 0.1%
38.10040064 1
< 0.1%
38.09696342 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct3541
Distinct (%)98.8%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean127.00523
Minimum126.39681
Maximum127.75332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.7 KiB
2024-05-18T04:20:13.904604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.39681
5-th percentile126.70642
Q1126.82784
median126.99554
Q3127.13733
95-th percentile127.41783
Maximum127.75332
Range1.356518
Interquartile range (IQR)0.30949424

Descriptive statistics

Standard deviation0.21539879
Coefficient of variation (CV)0.0016959836
Kurtosis0.095294298
Mean127.00523
Median Absolute Deviation (MAD)0.15333981
Skewness0.4431423
Sum455313.76
Variance0.046396639
MonotonicityNot monotonic
2024-05-18T04:20:14.417247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.761945 2
 
0.1%
126.778784 2
 
0.1%
126.7533748 2
 
0.1%
127.0483595106 2
 
0.1%
126.804974 2
 
0.1%
127.0891375356 2
 
0.1%
126.761401 2
 
0.1%
127.0324937137 2
 
0.1%
126.7224017 2
 
0.1%
127.0796230843 2
 
0.1%
Other values (3531) 3565
99.4%
(Missing) 3
 
0.1%
ValueCountFrequency (%)
126.396806 1
< 0.1%
126.5318688 1
< 0.1%
126.5319599 1
< 0.1%
126.5330749 1
< 0.1%
126.5366103 1
< 0.1%
126.5420095 1
< 0.1%
126.547704 1
< 0.1%
126.5491812 1
< 0.1%
126.5492414 1
< 0.1%
126.5499603 1
< 0.1%
ValueCountFrequency (%)
127.753324 1
< 0.1%
127.7309228 1
< 0.1%
127.723934 1
< 0.1%
127.6839553 1
< 0.1%
127.667557 1
< 0.1%
127.6646359 1
< 0.1%
127.6527717 1
< 0.1%
127.6487996 1
< 0.1%
127.6466009 1
< 0.1%
127.6453069 1
< 0.1%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size28.2 KiB
2023-03-15
318 
2024-01-29
316 
2022-04-30
282 
2022-05-24
233 
2023-12-22
 
202
Other values (24)
2237 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-08
2nd row2024-01-08
3rd row2024-01-08
4th row2024-01-08
5th row2024-01-08

Common Values

ValueCountFrequency (%)
2023-03-15 318
 
8.9%
2024-01-29 316
 
8.8%
2022-04-30 282
 
7.9%
2022-05-24 233
 
6.5%
2023-12-22 202
 
5.6%
2019-05-03 201
 
5.6%
2023-11-30 169
 
4.7%
2020-06-19 151
 
4.2%
2018-03-30 149
 
4.2%
2023-05-08 147
 
4.1%
Other values (19) 1420
39.6%

Length

2024-05-18T04:20:14.807697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-03-15 318
 
8.9%
2024-01-29 316
 
8.8%
2022-04-30 282
 
7.9%
2022-05-24 233
 
6.5%
2023-12-22 202
 
5.6%
2019-05-03 201
 
5.6%
2023-11-30 169
 
4.7%
2020-06-19 151
 
4.2%
2018-03-30 149
 
4.2%
2023-05-08 147
 
4.1%
Other values (19) 1420
39.6%

Interactions

2024-05-18T04:19:54.970827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:19:54.473715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:19:55.236098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:19:54.715749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T04:20:15.086702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명사업장업종명세차유형휴무일평일운영시작시각평일운영종료시각휴일운영시작시각휴일운영종료시각세차요금정보위도경도데이터기준일자
시군구명1.0000.9630.9371.0000.8720.6580.6520.510NaN0.9570.9291.000
사업장업종명0.9631.0000.8880.8340.6370.6590.5190.5830.9460.8510.7610.964
세차유형0.9370.8881.0000.6210.7320.8500.6560.7651.0000.6170.6740.868
휴무일1.0000.8340.6211.0000.7060.9270.7900.9860.0000.8680.7131.000
평일운영시작시각0.8720.6370.7320.7061.0000.9210.9980.7530.8540.7560.4090.376
평일운영종료시각0.6580.6590.8500.9270.9211.0000.8320.9950.7430.0000.2960.587
휴일운영시작시각0.6520.5190.6560.7900.9980.8321.0000.8310.9240.8270.4200.396
휴일운영종료시각0.5100.5830.7650.9860.7530.9950.8311.0000.7320.1860.4160.749
세차요금정보NaN0.9461.0000.0000.8540.7430.9240.7321.0000.0000.000NaN
위도0.9570.8510.6170.8680.7560.0000.8270.1860.0001.0000.6350.954
경도0.9290.7610.6740.7130.4090.2960.4200.4160.0000.6351.0000.923
데이터기준일자1.0000.9640.8681.0000.3760.5870.3960.749NaN0.9540.9231.000
2024-05-18T04:20:15.498235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일운영종료시각세차요금정보세차유형휴일운영시작시각데이터기준일자휴무일평일운영시작시각휴일운영종료시각시군구명
평일운영종료시각1.0000.5590.5110.6660.3890.7160.6230.8730.329
세차요금정보0.5591.0000.9890.6171.0000.0000.4910.5731.000
세차유형0.5110.9891.0000.5860.6430.3610.3560.6050.643
휴일운영시작시각0.6660.6170.5861.0000.3250.5430.9290.6660.581
데이터기준일자0.3891.0000.6430.3251.0000.9490.3140.4471.000
휴무일0.7160.0000.3610.5430.9491.0000.4370.7920.949
평일운영시작시각0.6230.4910.3560.9290.3140.4371.0000.5570.519
휴일운영종료시각0.8730.5730.6050.6660.4470.7920.5571.0000.347
시군구명0.3291.0000.6430.5811.0000.9490.5190.3471.000
2024-05-18T04:20:15.808514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군구명세차유형휴무일평일운영시작시각평일운영종료시각휴일운영시작시각휴일운영종료시각세차요금정보데이터기준일자
위도1.000-0.1490.7590.3720.6600.3780.0000.4560.1060.0000.752
경도-0.1491.0000.6680.4250.4170.2910.1590.3000.2190.0000.655
시군구명0.7590.6681.0000.6430.9490.5190.3290.5810.3471.0001.000
세차유형0.3720.4250.6431.0000.3610.3560.5110.5860.6050.9890.643
휴무일0.6600.4170.9490.3611.0000.4370.7160.5430.7920.0000.949
평일운영시작시각0.3780.2910.5190.3560.4371.0000.6230.9290.5570.4910.314
평일운영종료시각0.0000.1590.3290.5110.7160.6231.0000.6660.8730.5590.389
휴일운영시작시각0.4560.3000.5810.5860.5430.9290.6661.0000.6660.6170.325
휴일운영종료시각0.1060.2190.3470.6050.7920.5570.8730.6661.0000.5730.447
세차요금정보0.0000.0001.0000.9890.0000.4910.5590.6170.5731.0001.000
데이터기준일자0.7520.6551.0000.6430.9490.3140.3890.3250.4471.0001.000

Missing values

2024-05-18T04:19:55.636821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T04:19:56.257947image/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.
2024-05-18T04:19:56.758507image/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

사업장명시도명시군구명사업장업종명세차유형소재지도로명주소휴무일평일운영시작시각평일운영종료시각휴일운영시작시각휴일운영종료시각세차요금정보대표자명세차장전화번호수질허가번호위도경도데이터기준일자
0아리아세차경기도가평군세차장<NA>경기도 가평군 가평읍 연인2길 3<NA><NA><NA><NA><NA><NA>김철준031-582-107686-137.829972127.5126882024-01-08
1미래셀프세차장경기도가평군세차장<NA>경기도 가평군 설악면 한서로 96<NA><NA><NA><NA><NA><NA>김금옥031-584-39772008-337.673115127.502242024-01-08
2조종세차장경기도가평군세차장<NA>경기도 가평군 조종면 청군로 1188-5<NA><NA><NA><NA><NA><NA>김천성<NA>1-51-237.811473127.3519552024-01-08
3조은세차장경기도가평군세차장<NA>경기도 가평군 조종면 현창로 66<NA><NA><NA><NA><NA><NA>박삼성031-585-09981-83-237.820267127.3469482024-01-08
4기아세차장경기도가평군세차장<NA>경기도 가평군 청평면 경춘로 781<NA><NA><NA><NA><NA><NA>임광혁031-585-099885-137.73643127.4151512024-01-08
5(주)명보주유소경기도가평군세차장<NA>경기도 가평군 가평읍 석봉로 237<NA><NA><NA><NA><NA><NA>이석기031-582-66111-10637.836134127.5083612024-01-08
6가평주유소경기도가평군세차장<NA>경기도 가평군 가평읍 가화로 41-16<NA><NA><NA><NA><NA><NA>김송자031-582-31141-131-137.823225127.5150172024-01-08
7태양주유소경기도가평군세차장<NA>경기도 가평군 설악면 한서로 25<NA><NA><NA><NA><NA><NA>장승우031-585-33781-137-137.675977127.4965972024-01-08
8청평셀프세차장경기도가평군세차장<NA>경기도 가평군 청평면 강변로 39<NA><NA><NA><NA><NA><NA>배성일031-585-57032001-637.734204127.4167632024-01-08
9쉼터주유소경기도가평군세차장<NA>경기도 가평군 상면 청군로 824<NA><NA><NA><NA><NA><NA>여의주031-585-90032005-737.785243127.3697742024-01-08
사업장명시도명시군구명사업장업종명세차유형소재지도로명주소휴무일평일운영시작시각평일운영종료시각휴일운영시작시각휴일운영종료시각세차요금정보대표자명세차장전화번호수질허가번호위도경도데이터기준일자
3578현대오일뱅크(주)직영 동탄제일주유소경기도화성시자동차 세차업<NA>경기도 화성시 효행로 1279<NA><NA><NA><NA><NA><NA><NA><NA>137737.222578127.0608962024-01-29
3579화성허브주유소경기도화성시자동차 세차업<NA>경기도 화성시 남양읍 화성로 1166<NA><NA><NA><NA><NA><NA><NA><NA>139337.210978126.8132852024-01-29
3580화성시환경사업소(자원순환과)경기도화성시자동차 세차업<NA>경기도 화성시 팔탄면 터넉골로120번길 61<NA><NA><NA><NA><NA><NA><NA><NA>141737.137316126.8782632024-01-29
3581SK네트웍스(주)스피드메이트동탄삼성점경기도화성시자동차 세차업<NA>경기도 화성시 효행로 1277<NA><NA><NA><NA><NA><NA><NA><NA>142337.222901127.0607462024-01-29
3582SK에너지(주)동탄셀프주유소(임차: (주)이마트24 )경기도화성시자동차 세차업<NA>경기도 화성시 여울로3길 21<NA><NA><NA><NA><NA><NA><NA><NA>146137.214785127.0531852024-01-29
3583(주)태안현대자동차정비경기도화성시자동차 세차업<NA>경기도 화성시 정남면 만년로 441<NA><NA><NA><NA><NA><NA><NA><NA>148137.161295126.9812882024-01-29
3584서부세차장경기도화성시자동차 세차업<NA>경기도 화성시 팔탄면 시청로 779<NA><NA><NA><NA><NA><NA><NA><NA>171437.169089126.8783012024-01-29
3585애니카랜드 남양점경기도화성시자동차 세차업<NA>경기도 화성시 남양읍 주석로 86<NA><NA><NA><NA><NA><NA><NA><NA>176437.217522126.8417112024-01-29
3586해태카센타경기도화성시자동차 세차업<NA>경기도 화성시 장안면 수정로 144<NA><NA><NA><NA><NA><NA><NA><NA>183337.079337126.8591212024-01-29
3587송산자동차정비공업사경기도화성시자동차 세차업<NA>경기도 화성시 양감면 정문송산로 144<NA><NA><NA><NA><NA><NA><NA><NA>187637.105094126.986632024-01-29