Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells32609
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory157.0 B

Variable types

Text6
Categorical5
Numeric3
DateTime4

Dataset

Description자동차정비업체 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=OQPY77B706GWLJ57T2TW26981520&infSeq=1

Alerts

위도 is highly overall correlated with 데이터기준일자High correlation
경도 is highly overall correlated with 데이터기준일자High correlation
운영시작시각 is highly overall correlated with 운영종료시각High correlation
운영종료시각 is highly overall correlated with 운영시작시각High correlation
데이터기준일자 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
자동차정비업체종류 is highly imbalanced (58.4%)Imbalance
영업상태 is highly imbalanced (83.1%)Imbalance
운영시작시각 is highly imbalanced (56.1%)Imbalance
운영종료시각 is highly imbalanced (68.8%)Imbalance
소재지지번주소 has 111 (1.1%) missing valuesMissing
폐업일자 has 9698 (97.0%) missing valuesMissing
휴업시작일자 has 9975 (99.8%) missing valuesMissing
휴업종료일자 has 9994 (99.9%) missing valuesMissing
전화번호 has 2800 (28.0%) missing valuesMissing
면적 is highly skewed (γ1 = 53.89283422)Skewed
면적 has 162 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-10 20:43:15.361721
Analysis finished2024-05-10 20:43:24.545539
Duration9.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자동차정비업체명
Text

Distinct7390
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:43:24.995118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length7.9161
Min length2

Characters and Unicode

Total characters79161
Distinct characters717
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5505 ?
Unique (%)55.0%

Sample

1st row탑스모빌
2nd row㈜그랜드타이어
3rd row서해안오토
4th row파주현대서비스
5th row르노삼성자동차 지정정비코너 송탄점
ValueCountFrequency (%)
주식회사 236
 
1.9%
스피드메이트 137
 
1.1%
현대자동차 135
 
1.1%
모터스 133
 
1.1%
기아오토큐 114
 
0.9%
오토오아시스 101
 
0.8%
애니카랜드 86
 
0.7%
motors 69
 
0.5%
카 54
 
0.4%
서비스 45
 
0.4%
Other values (7444) 11465
91.2%
2024-05-10T20:43:26.069392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 3497
 
4.4%
스 3309
 
4.2%
자 3231
 
4.1%
차 3228
 
4.1%
사 3025
 
3.8%
공 2629
 
3.3%
2596
 
3.3%
업 2574
 
3.3%
카 2457
 
3.1%
비 2179
 
2.8%
Other values (707) 50436
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70838
89.5%
Space Separator 2596
 
3.3%
Uppercase Letter 2184
 
2.8%
Close Punctuation 899
 
1.1%
Open Punctuation 898
 
1.1%
Lowercase Letter 839
 
1.1%
Decimal Number 444
 
0.6%
Other Symbol 321
 
0.4%
Other Punctuation 89
 
0.1%
Dash Punctuation 44
 
0.1%
Other values (5) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3497
 
4.9%
스 3309
 
4.7%
자 3231
 
4.6%
차 3228
 
4.6%
사 3025
 
4.3%
공 2629
 
3.7%
업 2574
 
3.6%
카 2457
 
3.5%
비 2179
 
3.1%
터 1820
 
2.6%
Other values (630) 42889
60.5%
Uppercase Letter
ValueCountFrequency (%)
O 242
11.1%
S 240
11.0%
T 205
 
9.4%
M 194
 
8.9%
R 158
 
7.2%
A 126
 
5.8%
C 122
 
5.6%
K 119
 
5.4%
E 103
 
4.7%
J 84
 
3.8%
Other values (16) 591
27.1%
Lowercase Letter
ValueCountFrequency (%)
o 123
14.7%
r 88
10.5%
a 88
10.5%
t 81
9.7%
e 79
9.4%
s 70
8.3%
m 52
 
6.2%
i 42
 
5.0%
n 36
 
4.3%
p 35
 
4.2%
Other values (15) 145
17.3%
Decimal Number
ValueCountFrequency (%)
1 225
50.7%
2 54
 
12.2%
3 44
 
9.9%
5 31
 
7.0%
9 23
 
5.2%
4 22
 
5.0%
0 14
 
3.2%
6 13
 
2.9%
8 11
 
2.5%
7 7
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 44
49.4%
; 17
 
19.1%
& 17
 
19.1%
, 5
 
5.6%
· 4
 
4.5%
/ 2
 
2.2%
Space Separator
ValueCountFrequency (%)
2596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 899
100.0%
Open Punctuation
ValueCountFrequency (%)
( 898
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71154
89.9%
Common 4978
 
6.3%
Latin 3024
 
3.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3497
 
4.9%
스 3309
 
4.7%
자 3231
 
4.5%
차 3228
 
4.5%
사 3025
 
4.3%
공 2629
 
3.7%
업 2574
 
3.6%
카 2457
 
3.5%
비 2179
 
3.1%
터 1820
 
2.6%
Other values (628) 43205
60.7%
Latin
ValueCountFrequency (%)
O 242
 
8.0%
S 240
 
7.9%
T 205
 
6.8%
M 194
 
6.4%
R 158
 
5.2%
A 126
 
4.2%
o 123
 
4.1%
C 122
 
4.0%
K 119
 
3.9%
E 103
 
3.4%
Other values (42) 1392
46.0%
Common
ValueCountFrequency (%)
2596
52.1%
) 899
 
18.1%
( 898
 
18.0%
1 225
 
4.5%
2 54
 
1.1%
3 44
 
0.9%
. 44
 
0.9%
- 44
 
0.9%
5 31
 
0.6%
9 23
 
0.5%
Other values (14) 120
 
2.4%
Han
ValueCountFrequency (%)
大 2
40.0%
侊 2
40.0%
時 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70833
89.5%
ASCII 7993
 
10.1%
None 325
 
0.4%
CJK 5
 
< 0.1%
Punctuation 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 3497
 
4.9%
스 3309
 
4.7%
자 3231
 
4.6%
차 3228
 
4.6%
사 3025
 
4.3%
공 2629
 
3.7%
업 2574
 
3.6%
카 2457
 
3.5%
비 2179
 
3.1%
터 1820
 
2.6%
Other values (627) 42884
60.5%
ASCII
ValueCountFrequency (%)
2596
32.5%
) 899
 
11.2%
( 898
 
11.2%
O 242
 
3.0%
S 240
 
3.0%
1 225
 
2.8%
T 205
 
2.6%
M 194
 
2.4%
R 158
 
2.0%
A 126
 
1.6%
Other values (62) 2210
27.6%
None
ValueCountFrequency (%)
㈜ 321
98.8%
· 4
 
1.2%
Punctuation
ValueCountFrequency (%)
’ 3
75.0%
‘ 1
 
25.0%
CJK
ValueCountFrequency (%)
大 2
40.0%
侊 2
40.0%
時 1
20.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

자동차정비업체종류
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
7939 
1
1295 
2
 
693
4
 
71
99
 
2

Length

Max length2
Median length1
Mean length1.0002
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 7939
79.4%
1 1295
 
13.0%
2 693
 
6.9%
4 71
 
0.7%
99 2
 
< 0.1%

Length

2024-05-10T20:43:26.402688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:43:26.646121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 7939
79.4%
1 1295
 
13.0%
2 693
 
6.9%
4 71
 
0.7%
99 2
 
< 0.1%

소재지도로명주소
Text

Distinct8759
Distinct (%)87.9%
Missing31
Missing (%)0.3%
Memory size156.2 KiB
2024-05-10T20:43:27.569273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length21.735279
Min length12

Characters and Unicode

Total characters216679
Distinct characters473
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7659 ?
Unique (%)76.8%

Sample

1st row경기도 안성시 대덕면 소사길 172
2nd row경기도 고양시 일산서구 덕이로 50-20(덕이동)
3rd row경기도 평택시 경기대로 1034
4th row경기도 파주시 월롱면 휴암로 235
5th row경기도 평택시 송탄로 238
ValueCountFrequency (%)
경기도 9969
 
21.2%
고양시 1034
 
2.2%
안산시 650
 
1.4%
부천시 641
 
1.4%
용인시 635
 
1.3%
남양주시 615
 
1.3%
광주시 562
 
1.2%
파주시 509
 
1.1%
시흥시 506
 
1.1%
수원시 505
 
1.1%
Other values (9059) 31422
66.8%
2024-05-10T20:43:29.176205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37079
 
17.1%
경 10465
 
4.8%
시 10437
 
4.8%
기 10420
 
4.8%
도 10386
 
4.8%
로 9205
 
4.2%
1 7852
 
3.6%
동 5707
 
2.6%
2 4732
 
2.2%
) 4258
 
2.0%
Other values (463) 106138
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132790
61.3%
Space Separator 37079
 
17.1%
Decimal Number 35608
 
16.4%
Close Punctuation 4259
 
2.0%
Open Punctuation 4258
 
2.0%
Dash Punctuation 1922
 
0.9%
Other Punctuation 697
 
0.3%
Uppercase Letter 51
 
< 0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 10465
 
7.9%
시 10437
 
7.9%
기 10420
 
7.8%
도 10386
 
7.8%
로 9205
 
6.9%
동 5707
 
4.3%
구 3719
 
2.8%
양 3354
 
2.5%
길 3106
 
2.3%
산 2509
 
1.9%
Other values (429) 63482
47.8%
Decimal Number
ValueCountFrequency (%)
1 7852
22.1%
2 4732
13.3%
3 3842
10.8%
4 3204
9.0%
5 3093
 
8.7%
6 2741
 
7.7%
7 2728
 
7.7%
0 2644
 
7.4%
8 2460
 
6.9%
9 2312
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 24
47.1%
C 9
 
17.6%
A 7
 
13.7%
K 3
 
5.9%
E 2
 
3.9%
M 2
 
3.9%
S 1
 
2.0%
G 1
 
2.0%
I 1
 
2.0%
T 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
a 1
20.0%
c 1
20.0%
b 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 4258
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4257
> 99.9%
[ 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 691
99.1%
. 6
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
∼ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
37079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132790
61.3%
Common 83833
38.7%
Latin 56
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 10465
 
7.9%
시 10437
 
7.9%
기 10420
 
7.8%
도 10386
 
7.8%
로 9205
 
6.9%
동 5707
 
4.3%
구 3719
 
2.8%
양 3354
 
2.5%
길 3106
 
2.3%
산 2509
 
1.9%
Other values (429) 63482
47.8%
Common
ValueCountFrequency (%)
37079
44.2%
1 7852
 
9.4%
2 4732
 
5.6%
) 4258
 
5.1%
( 4257
 
5.1%
3 3842
 
4.6%
4 3204
 
3.8%
5 3093
 
3.7%
6 2741
 
3.3%
7 2728
 
3.3%
Other values (10) 10047
 
12.0%
Latin
ValueCountFrequency (%)
B 24
42.9%
C 9
 
16.1%
A 7
 
12.5%
K 3
 
5.4%
E 2
 
3.6%
e 2
 
3.6%
M 2
 
3.6%
S 1
 
1.8%
a 1
 
1.8%
G 1
 
1.8%
Other values (4) 4
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132789
61.3%
ASCII 83888
38.7%
Compat Jamo 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37079
44.2%
1 7852
 
9.4%
2 4732
 
5.6%
) 4258
 
5.1%
( 4257
 
5.1%
3 3842
 
4.6%
4 3204
 
3.8%
5 3093
 
3.7%
6 2741
 
3.3%
7 2728
 
3.3%
Other values (23) 10102
 
12.0%
Hangul
ValueCountFrequency (%)
경 10465
 
7.9%
시 10437
 
7.9%
기 10420
 
7.8%
도 10386
 
7.8%
로 9205
 
6.9%
동 5707
 
4.3%
구 3719
 
2.8%
양 3354
 
2.5%
길 3106
 
2.3%
산 2509
 
1.9%
Other values (428) 63481
47.8%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct8491
Distinct (%)85.9%
Missing111
Missing (%)1.1%
Memory size156.2 KiB
2024-05-10T20:43:29.830127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length21.584387
Min length12

Characters and Unicode

Total characters213448
Distinct characters424
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

Unique7213 ?
Unique (%)72.9%

Sample

1st row경기도 안성시 대덕면 소내리 314-1번지
2nd row경기도 고양시 일산서구 덕이동 452번지
3rd row경기도 평택시 장당동 66-1
4th row경기도 파주시 월롱면 덕은리 14
5th row경기도 평택시 서정동 865-16
ValueCountFrequency (%)
경기도 9889
 
21.1%
고양시 1016
 
2.2%
안산시 653
 
1.4%
용인시 635
 
1.4%
부천시 635
 
1.4%
남양주시 622
 
1.3%
광주시 546
 
1.2%
파주시 508
 
1.1%
시흥시 502
 
1.1%
수원시 497
 
1.1%
Other values (8918) 31386
66.9%
2024-05-10T20:43:30.970073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37000
 
17.3%
도 10265
 
4.8%
시 10236
 
4.8%
기 10229
 
4.8%
경 9913
 
4.6%
동 8412
 
3.9%
- 8366
 
3.9%
1 8142
 
3.8%
지 7529
 
3.5%
번 6979
 
3.3%
Other values (414) 96377
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125927
59.0%
Decimal Number 41889
 
19.6%
Space Separator 37000
 
17.3%
Dash Punctuation 8366
 
3.9%
Other Punctuation 109
 
0.1%
Uppercase Letter 63
 
< 0.1%
Close Punctuation 42
 
< 0.1%
Open Punctuation 40
 
< 0.1%
Math Symbol 8
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10265
 
8.2%
시 10236
 
8.1%
기 10229
 
8.1%
경 9913
 
7.9%
동 8412
 
6.7%
지 7529
 
6.0%
번 6979
 
5.5%
구 4195
 
3.3%
양 3169
 
2.5%
리 2820
 
2.2%
Other values (380) 52180
41.4%
Uppercase Letter
ValueCountFrequency (%)
B 23
36.5%
C 10
15.9%
A 7
 
11.1%
K 4
 
6.3%
I 3
 
4.8%
G 3
 
4.8%
S 3
 
4.8%
E 3
 
4.8%
T 2
 
3.2%
M 2
 
3.2%
Other values (3) 3
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 8142
19.4%
2 5295
12.6%
3 4535
10.8%
4 4275
10.2%
5 3923
9.4%
6 3587
8.6%
7 3310
7.9%
8 3001
 
7.2%
0 2942
 
7.0%
9 2879
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 107
98.2%
. 1
 
0.9%
& 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
b 1
25.0%
c 1
25.0%
Space Separator
ValueCountFrequency (%)
37000
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8366
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125927
59.0%
Common 87454
41.0%
Latin 67
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10265
 
8.2%
시 10236
 
8.1%
기 10229
 
8.1%
경 9913
 
7.9%
동 8412
 
6.7%
지 7529
 
6.0%
번 6979
 
5.5%
구 4195
 
3.3%
양 3169
 
2.5%
리 2820
 
2.2%
Other values (380) 52180
41.4%
Common
ValueCountFrequency (%)
37000
42.3%
- 8366
 
9.6%
1 8142
 
9.3%
2 5295
 
6.1%
3 4535
 
5.2%
4 4275
 
4.9%
5 3923
 
4.5%
6 3587
 
4.1%
7 3310
 
3.8%
8 3001
 
3.4%
Other values (8) 6020
 
6.9%
Latin
ValueCountFrequency (%)
B 23
34.3%
C 10
14.9%
A 7
 
10.4%
K 4
 
6.0%
I 3
 
4.5%
G 3
 
4.5%
S 3
 
4.5%
E 3
 
4.5%
T 2
 
3.0%
e 2
 
3.0%
Other values (6) 7
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125926
59.0%
ASCII 87521
41.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37000
42.3%
- 8366
 
9.6%
1 8142
 
9.3%
2 5295
 
6.0%
3 4535
 
5.2%
4 4275
 
4.9%
5 3923
 
4.5%
6 3587
 
4.1%
7 3310
 
3.8%
8 3001
 
3.4%
Other values (24) 6087
 
7.0%
Hangul
ValueCountFrequency (%)
도 10265
 
8.2%
시 10236
 
8.1%
기 10229
 
8.1%
경 9913
 
7.9%
동 8412
 
6.7%
지 7529
 
6.0%
번 6979
 
5.5%
구 4195
 
3.3%
양 3169
 
2.5%
리 2820
 
2.2%
Other values (379) 52179
41.4%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct8396
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.461703
Minimum36.922538
Maximum38.181907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:43:31.347890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.922538
5-th percentile37.026893
Q137.295825
median37.43403
Q337.662872
95-th percentile37.831425
Maximum38.181907
Range1.2593693
Interquartile range (IQR)0.36704649

Descriptive statistics

Standard deviation0.23623082
Coefficient of variation (CV)0.0063059284
Kurtosis-0.6205676
Mean37.461703
Median Absolute Deviation (MAD)0.17827927
Skewness-0.0117058
Sum374617.03
Variance0.055805
MonotonicityNot monotonic
2024-05-10T20:43:31.784980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51585279 7
 
0.1%
37.34281302 7
 
0.1%
37.32230628 6
 
0.1%
37.37161216 6
 
0.1%
37.31280772 6
 
0.1%
37.52939961 5
 
0.1%
37.6794424 4
 
< 0.1%
37.51040617 4
 
< 0.1%
37.34177925 4
 
< 0.1%
37.67889697 4
 
< 0.1%
Other values (8386) 9947
99.5%
ValueCountFrequency (%)
36.922538 1
< 0.1%
36.92253842 1
< 0.1%
36.923081 1
< 0.1%
36.92863597 1
< 0.1%
36.92879848 2
< 0.1%
36.93638 1
< 0.1%
36.93638008 1
< 0.1%
36.936678 1
< 0.1%
36.93835287 1
< 0.1%
36.9385219 1
< 0.1%
ValueCountFrequency (%)
38.18190727 1
< 0.1%
38.15409149 2
< 0.1%
38.15199622 2
< 0.1%
38.11125483 1
< 0.1%
38.10710217 1
< 0.1%
38.10550518 2
< 0.1%
38.10119938 1
< 0.1%
38.09750954 2
< 0.1%
38.09298649 2
< 0.1%
38.09283536 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct8357
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00969
Minimum126.5435
Maximum127.75811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:43:32.230714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5435
5-th percentile126.72234
Q1126.80889
median127.00141
Q3127.16729
95-th percentile127.43365
Maximum127.75811
Range1.2146064
Interquartile range (IQR)0.35840355

Descriptive statistics

Standard deviation0.22471647
Coefficient of variation (CV)0.001769286
Kurtosis-0.17718006
Mean127.00969
Median Absolute Deviation (MAD)0.18271285
Skewness0.5113733
Sum1270096.9
Variance0.050497492
MonotonicityNot monotonic
2024-05-10T20:43:32.823443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7571425 7
 
0.1%
126.7300925 7
 
0.1%
126.9514319 6
 
0.1%
126.7960062 6
 
0.1%
126.7324929 6
 
0.1%
126.7107997 5
 
0.1%
126.6114655 4
 
< 0.1%
126.987674 4
 
< 0.1%
126.875850004 4
 
< 0.1%
127.1833324 4
 
< 0.1%
Other values (8347) 9947
99.5%
ValueCountFrequency (%)
126.5434994 1
< 0.1%
126.549823 1
< 0.1%
126.5521923 1
< 0.1%
126.5531587 1
< 0.1%
126.5539277 1
< 0.1%
126.5541682 1
< 0.1%
126.5551967 1
< 0.1%
126.5562362 1
< 0.1%
126.5562614 2
< 0.1%
126.556974 1
< 0.1%
ValueCountFrequency (%)
127.7581057945 1
< 0.1%
127.7504969418 1
< 0.1%
127.7504969 1
< 0.1%
127.7223774 1
< 0.1%
127.704715239 1
< 0.1%
127.7047152 1
< 0.1%
127.6954718 1
< 0.1%
127.692824 1
< 0.1%
127.6928232 1
< 0.1%
127.683978 1
< 0.1%

사업등록일자
Date

Distinct4500
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-12-31 00:00:00
Maximum2023-11-22 00:00:00
2024-05-10T20:43:33.224007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:33.577899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct5919
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1096.4385
Minimum0
Maximum1037373
Zeros162
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:43:34.013021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56.1
Q1126
median257.605
Q3745.35
95-th percentile2815.321
Maximum1037373
Range1037373
Interquartile range (IQR)619.35

Descriptive statistics

Standard deviation17022.778
Coefficient of variation (CV)15.52552
Kurtosis3085.8645
Mean1096.4385
Median Absolute Deviation (MAD)167.53
Skewness53.892834
Sum10964385
Variance2.8977496 × 108
MonotonicityNot monotonic
2024-05-10T20:43:34.471560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 202
 
2.0%
0.0 162
 
1.6%
100.0 110
 
1.1%
198.0 80
 
0.8%
1000.0 42
 
0.4%
330.0 38
 
0.4%
120.0 34
 
0.3%
132.0 31
 
0.3%
99.0 31
 
0.3%
200.0 30
 
0.3%
Other values (5909) 9240
92.4%
ValueCountFrequency (%)
0.0 162
1.6%
1.0 22
 
0.2%
2.0 1
 
< 0.1%
11.93 1
 
< 0.1%
12.0 3
 
< 0.1%
14.53 1
 
< 0.1%
15.0 3
 
< 0.1%
16.0 1
 
< 0.1%
21.15 1
 
< 0.1%
21.6 1
 
< 0.1%
ValueCountFrequency (%)
1037373.0 1
< 0.1%
1037259.0 1
< 0.1%
720060.0 1
< 0.1%
339900.0 1
< 0.1%
274100.0 1
< 0.1%
73434.7 1
< 0.1%
73389.0 1
< 0.1%
59996.0 1
< 0.1%
51082.0 1
< 0.1%
41674.0 1
< 0.1%

영업상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9580 
3
 
388
2
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9580
95.8%
3 388
 
3.9%
2 32
 
0.3%

Length

2024-05-10T20:43:34.920740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:43:35.209909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9580
95.8%
3 388
 
3.9%
2 32
 
0.3%

폐업일자
Date

MISSING 

Distinct247
Distinct (%)81.8%
Missing9698
Missing (%)97.0%
Memory size156.2 KiB
Minimum2001-09-30 00:00:00
Maximum2023-10-18 00:00:00
2024-05-10T20:43:35.463014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:35.816905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing9975
Missing (%)99.8%
Memory size156.2 KiB
Minimum2011-08-29 00:00:00
Maximum2023-06-07 00:00:00
2024-05-10T20:43:36.155217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:36.518036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing9994
Missing (%)99.9%
Memory size156.2 KiB
Minimum1999-02-03 00:00:00
Maximum2024-06-06 00:00:00
2024-05-10T20:43:36.794121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:37.075824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

운영시작시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5007 
09:00
4975 
08:30
 
9
08:00
 
7
10:00
 
2

Length

Max length5
Median length4
Mean length4.4993
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row09:00
3rd row09:00
4th row<NA>
5th row09:00

Common Values

ValueCountFrequency (%)
<NA> 5007
50.1%
09:00 4975
49.8%
08:30 9
 
0.1%
08:00 7
 
0.1%
10:00 2
 
< 0.1%

Length

2024-05-10T20:43:37.537434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:43:37.786378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5007
50.1%
09:00 4975
49.8%
08:30 9
 
0.1%
08:00 7
 
0.1%
10:00 2
 
< 0.1%

운영종료시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5009 
18:00
4957 
19:00
 
16
20:00
 
9
19:30
 
2
Other values (5)
 
7

Length

Max length5
Median length4
Mean length4.4991
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row18:00
3rd row18:00
4th row<NA>
5th row18:00

Common Values

ValueCountFrequency (%)
<NA> 5009
50.1%
18:00 4957
49.6%
19:00 16
 
0.2%
20:00 9
 
0.1%
19:30 2
 
< 0.1%
21:00 2
 
< 0.1%
22:00 2
 
< 0.1%
18:30 1
 
< 0.1%
17:00 1
 
< 0.1%
18:01 1
 
< 0.1%

Length

2024-05-10T20:43:38.113841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:43:38.423977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5009
50.1%
18:00 4957
49.6%
19:00 16
 
0.2%
20:00 9
 
0.1%
19:30 2
 
< 0.1%
21:00 2
 
< 0.1%
22:00 2
 
< 0.1%
18:30 1
 
< 0.1%
17:00 1
 
< 0.1%
18:01 1
 
< 0.1%

전화번호
Text

MISSING 

Distinct5599
Distinct (%)77.8%
Missing2800
Missing (%)28.0%
Memory size156.2 KiB
2024-05-10T20:43:39.255581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.999861
Min length9

Characters and Unicode

Total characters86399
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

Unique4472 ?
Unique (%)62.1%

Sample

1st row031-911-6511
2nd row031-663-2882
3rd row031-667-3599
4th row031-986-0101
5th row031-862-8511
ValueCountFrequency (%)
032-625-3986 372
 
5.2%
031-0000-0000 20
 
0.3%
031-000-0000 11
 
0.2%
031-1234-5678 8
 
0.1%
000-000-0000 7
 
0.1%
031-567-3331 5
 
0.1%
031-573-0966 4
 
0.1%
031-319-6097 4
 
0.1%
031-511-8560 4
 
0.1%
031-851-4117 4
 
0.1%
Other values (5589) 6761
93.9%
2024-05-10T20:43:40.397961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14390
16.7%
3 11808
13.7%
0 11752
13.6%
1 10552
12.2%
5 5988
6.9%
2 5908
6.8%
8 5745
 
6.6%
6 5474
 
6.3%
7 5209
 
6.0%
9 5006
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72009
83.3%
Dash Punctuation 14390
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11808
16.4%
0 11752
16.3%
1 10552
14.7%
5 5988
8.3%
2 5908
8.2%
8 5745
8.0%
6 5474
7.6%
7 5209
7.2%
9 5006
7.0%
4 4567
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 14390
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86399
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 14390
16.7%
3 11808
13.7%
0 11752
13.6%
1 10552
12.2%
5 5988
6.9%
2 5908
6.8%
8 5745
 
6.6%
6 5474
 
6.3%
7 5209
 
6.0%
9 5006
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86399
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14390
16.7%
3 11808
13.7%
0 11752
13.6%
1 10552
12.2%
5 5988
6.9%
2 5908
6.8%
8 5745
 
6.6%
6 5474
 
6.3%
7 5209
 
6.0%
9 5006
 
5.8%

관리기관명
Text

Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:43:40.848085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length8.8804
Min length7

Characters and Unicode

Total characters88804
Distinct characters85
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row경기도 안성시청
2nd row경기도 고양시
3rd row경기도 평택시청
4th row경기도 파주시청
5th row경기도 평택시청
ValueCountFrequency (%)
경기도 9346
42.8%
고양시 1032
 
4.7%
부천시 640
 
2.9%
용인시 635
 
2.9%
차량등록사업소 635
 
2.9%
광주시 563
 
2.6%
수원시청 501
 
2.3%
안산시청 398
 
1.8%
남양주시청 384
 
1.8%
평택시청 384
 
1.8%
Other values (76) 7336
33.6%
2024-05-10T20:43:41.660513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11854
13.3%
시 10392
11.7%
도 9468
 
10.7%
기 9346
 
10.5%
경 9346
 
10.5%
청 5192
 
5.8%
양 2490
 
2.8%
주 2166
 
2.4%
안 1395
 
1.6%
차 1350
 
1.5%
Other values (75) 25805
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76843
86.5%
Space Separator 11854
 
13.3%
Decimal Number 107
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10392
13.5%
도 9468
 
12.3%
기 9346
 
12.2%
경 9346
 
12.2%
청 5192
 
6.8%
양 2490
 
3.2%
주 2166
 
2.8%
안 1395
 
1.8%
차 1350
 
1.8%
량 1331
 
1.7%
Other values (71) 24367
31.7%
Decimal Number
ValueCountFrequency (%)
1 42
39.3%
3 34
31.8%
2 31
29.0%
Space Separator
ValueCountFrequency (%)
11854
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76843
86.5%
Common 11961
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10392
13.5%
도 9468
 
12.3%
기 9346
 
12.2%
경 9346
 
12.2%
청 5192
 
6.8%
양 2490
 
3.2%
주 2166
 
2.8%
안 1395
 
1.8%
차 1350
 
1.8%
량 1331
 
1.7%
Other values (71) 24367
31.7%
Common
ValueCountFrequency (%)
11854
99.1%
1 42
 
0.4%
3 34
 
0.3%
2 31
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76843
86.5%
ASCII 11961
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11854
99.1%
1 42
 
0.4%
3 34
 
0.3%
2 31
 
0.3%
Hangul
ValueCountFrequency (%)
시 10392
13.5%
도 9468
 
12.3%
기 9346
 
12.2%
경 9346
 
12.2%
청 5192
 
6.8%
양 2490
 
3.2%
주 2166
 
2.8%
안 1395
 
1.8%
차 1350
 
1.8%
량 1331
 
1.7%
Other values (71) 24367
31.7%

관리기관전화번호
Text

Distinct79
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:43:42.154350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.2386
Min length11

Characters and Unicode

Total characters122386
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

Unique12 ?
Unique (%)0.1%

Sample

1st row031-678-2804
2nd row031-8075-4738
3rd row031-8024-4833
4th row031-940-5781
5th row031-8024-4833
ValueCountFrequency (%)
031-324-4557 635
 
6.3%
031-228-4316 501
 
5.0%
031-481-2951 398
 
4.0%
031-8024-4833 384
 
3.8%
031-590-4099 384
 
3.8%
031-8075-4738 382
 
3.8%
032-625-3986 372
 
3.7%
031-940-5781 314
 
3.1%
031-760-2120 302
 
3.0%
031-310-2652 291
 
2.9%
Other values (69) 6037
60.4%
2024-05-10T20:43:43.214119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
16.3%
0 18451
15.1%
3 18282
14.9%
1 14355
11.7%
2 10068
8.2%
8 7844
 
6.4%
4 7758
 
6.3%
5 7340
 
6.0%
7 6525
 
5.3%
6 6292
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102386
83.7%
Dash Punctuation 20000
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18451
18.0%
3 18282
17.9%
1 14355
14.0%
2 10068
9.8%
8 7844
7.7%
4 7758
7.6%
5 7340
 
7.2%
7 6525
 
6.4%
6 6292
 
6.1%
9 5471
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
16.3%
0 18451
15.1%
3 18282
14.9%
1 14355
11.7%
2 10068
8.2%
8 7844
 
6.4%
4 7758
 
6.3%
5 7340
 
6.0%
7 6525
 
5.3%
6 6292
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
16.3%
0 18451
15.1%
3 18282
14.9%
1 14355
11.7%
2 10068
8.2%
8 7844
 
6.4%
4 7758
 
6.3%
5 7340
 
6.0%
7 6525
 
5.3%
6 6292
 
5.1%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-10-22
2995 
2023-11-29
1019 
2023-09-22
828 
2023-12-01
631 
2023-10-23
501 
Other values (22)
4026 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-04
2nd row2021-10-22
3rd row2023-06-30
4th row2023-11-16
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2021-10-22 2995
29.9%
2023-11-29 1019
 
10.2%
2023-09-22 828
 
8.3%
2023-12-01 631
 
6.3%
2023-10-23 501
 
5.0%
2023-06-30 476
 
4.8%
2023-05-30 398
 
4.0%
2023-05-03 372
 
3.7%
2023-11-23 336
 
3.4%
2023-11-16 314
 
3.1%
Other values (17) 2130
21.3%

Length

2024-05-10T20:43:43.636659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-10-22 2995
29.9%
2023-11-29 1019
 
10.2%
2023-09-22 828
 
8.3%
2023-12-01 631
 
6.3%
2023-10-23 501
 
5.0%
2023-06-30 476
 
4.8%
2023-05-30 398
 
4.0%
2023-05-03 372
 
3.7%
2023-11-23 336
 
3.4%
2023-11-16 314
 
3.1%
Other values (17) 2130
21.3%

Interactions

2024-05-10T20:43:21.639511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:19.991695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:20.855370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:21.933973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:20.269128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:21.131728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:22.385903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:20.549319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:43:21.411499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:43:43.880116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체종류위도경도면적영업상태휴업시작일자휴업종료일자운영시작시각운영종료시각관리기관명관리기관전화번호데이터기준일자
자동차정비업체종류1.0000.1590.1130.0290.0441.0001.0000.0420.0460.2820.3210.189
위도0.1591.0000.6110.0470.1711.0001.0000.0290.0370.9560.9570.870
경도0.1130.6111.0000.0000.2051.0001.0000.1430.0690.9510.9520.857
면적0.0290.0470.0001.0000.000NaNNaN0.0000.0000.7920.7930.000
영업상태0.0440.1710.2050.0001.0001.0001.0000.0000.0000.4910.4910.507
휴업시작일자1.0001.0001.000NaN1.0001.0001.000NaNNaN1.0001.0001.000
휴업종료일자1.0001.0001.000NaN1.0001.0001.000NaNNaN1.0001.0001.000
운영시작시각0.0420.0290.1430.0000.000NaNNaN1.0000.7130.7110.7250.641
운영종료시각0.0460.0370.0690.0000.000NaNNaN0.7131.0000.5300.5490.473
관리기관명0.2820.9560.9510.7920.4911.0001.0000.7110.5301.0001.0001.000
관리기관전화번호0.3210.9570.9520.7930.4911.0001.0000.7250.5491.0001.0001.000
데이터기준일자0.1890.8700.8570.0000.5071.0001.0000.6410.4731.0001.0001.000
2024-05-10T20:43:44.220277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영종료시각운영시작시각데이터기준일자자동차정비업체종류영업상태
운영종료시각1.0000.5490.2360.0300.000
운영시작시각0.5491.0000.4470.0170.000
데이터기준일자0.2360.4471.0000.0920.274
자동차정비업체종류0.0300.0170.0921.0000.033
영업상태0.0000.0000.2740.0331.000
2024-05-10T20:43:44.702266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적자동차정비업체종류영업상태운영시작시각운영종료시각데이터기준일자
위도1.000-0.2480.0420.0670.1030.0170.0170.549
경도-0.2481.0000.0580.0470.1240.0860.0310.525
면적0.0420.0581.0000.0110.0000.0000.0000.000
자동차정비업체종류0.0670.0470.0111.0000.0330.0170.0300.092
영업상태0.1030.1240.0000.0331.0000.0000.0000.274
운영시작시각0.0170.0860.0000.0170.0001.0000.5490.447
운영종료시각0.0170.0310.0000.0300.0000.5491.0000.236
데이터기준일자0.5490.5250.0000.0920.2740.4470.2361.000

Missing values

2024-05-10T20:43:22.866736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:43:23.692004image/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.
2024-05-10T20:43:24.260529image/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

자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
1946탑스모빌3경기도 안성시 대덕면 소사길 172경기도 안성시 대덕면 소내리 314-1번지37.042405127.2166542023-07-0493.01<NA><NA><NA><NA><NA><NA>경기도 안성시청031-678-28042024-01-04
8353㈜그랜드타이어3경기도 고양시 일산서구 덕이로 50-20(덕이동)경기도 고양시 일산서구 덕이동 452번지37.690731126.7551912016-07-07473.971<NA><NA><NA>09:0018:00031-911-6511경기도 고양시031-8075-47382021-10-22
6496서해안오토3경기도 평택시 경기대로 1034경기도 평택시 장당동 66-137.041288127.067021900-12-3150.01<NA><NA><NA>09:0018:00031-663-2882경기도 평택시청031-8024-48332023-06-30
3673파주현대서비스1경기도 파주시 월롱면 휴암로 235경기도 파주시 월롱면 덕은리 1437.812341126.7825442017-02-071823.61<NA><NA><NA><NA><NA><NA>경기도 파주시청031-940-57812023-11-16
6619르노삼성자동차 지정정비코너 송탄점3경기도 평택시 송탄로 238경기도 평택시 서정동 865-1637.064977127.0586221900-12-31329.41<NA><NA><NA>09:0018:00031-667-3599경기도 평택시청031-8024-48332023-06-30
10274(주)한강자동차1경기도 김포시 통진읍 흥신로 252(도사리 774-1(일부), 5, 10, 26)경기도 김포시 통진읍 도사리 774-1번지 (도사리 774-1(일부), 5, 10, 26)37.679442126.6114651997-05-094030.01<NA><NA><NA>09:0018:00031-986-0101경기도 김포시031-980-51662021-10-22
1129대진자동차공업사3경기도 동두천시 생골로 41경기도 동두천시 생연동 401-237.900224127.0627531999-05-20293.032021-05-28<NA><NA><NA><NA>031-862-8511경기도 동두천시청 교통행정과031-860-22902023-06-29
5701홍천카서비스3경기도 부천시 경인로 457(괴안동)경기도 부천시 소사구 괴안동 2-17번지37.482418126.8064262004-06-08109.071<NA><NA><NA>09:0018:00032-342-0954경기도 부천시032-625-39612021-10-22
12733미래오토서비스 주식회사3경기도 광명시 도고내로 35경기도 광명시 가학동 316-537.420631126.8568782018-11-20179.01<NA><NA><NA><NA><NA>1522-5186경기도 광명시 도시교통과02-2680-68462023-06-30
2214대인자동차공업사3경기도 여주시 가남읍 태평중앙2길 5경기도 여주시 가남읍 태평리 147-8번지37.202222127.545412002-08-09231.01<NA><NA><NA><NA><NA>031-881-6024경기도 여주시청031-887-22922023-11-15
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
10887경기현대공업사2경기도 광주시 곤지암읍 경충대로 365경기도 광주시 곤지암읍 수양리 524-4번지37.338182127.3621922017-05-021270.01<NA><NA><NA><NA><NA><NA>경기도 광주시031-760-21202023-05-04
7118타이어버디3경기도 광명시 광명로 352경기도 광명시 노온사동 63337.432296126.8473742015-06-16117.21<NA><NA><NA><NA><NA>070-4142-7900경기도 광명시 도시교통과02-2680-68462023-06-30
2610타이어카매니저3경기도 파주시 문산읍 사임당로 70경기도 파주시 문산읍 선유리 767-3번지37.862043126.8006872001-08-27727.01<NA><NA><NA>09:0018:00031-945-0951경기도 파주시031-940-47972021-10-22
12457(주)유진모터스1경기도 광주시 광남안로 12(태전동)경기도 광주시 태전동 359-2번지37.393044127.2231072011-08-051872.01<NA><NA><NA>09:0018:00031-766-1195경기도 광주시031-760-22932021-10-22
6533주식회사 마이모터2경기도 고양시 일산동구 장진천길108번길 48-29경기도 고양시 일산동구 설문동 116-14번지37.717217126.813592009-05-28933.01<NA><NA><NA><NA><NA>031-904-6112경기도 고양시 일산동구청031-8075-63422023-09-22
3503광명카센타3경기도 광주시 곤지암읍 평촌길 65경기도 광주시 곤지암읍 삼리 411-8번지37.354458127.3239362001-01-10138.01<NA><NA><NA><NA><NA><NA>경기도 광주시031-760-21202023-05-04
11623타이어뱅크정비3경기도 시흥시 정왕대로233번길 8(정왕동)경기도 시흥시 정왕동 1621번지37.345692126.7400732013-11-28284.581<NA><NA><NA>09:0018:00031-433-1711경기도 시흥시031-310-51212021-10-22
4663송헌모터스3경기도 하남시 서하남로 114-1(감일동)경기도 하남시 감일동 131-1번지37.514065127.1562262009-08-04297.01<NA><NA><NA>09:0018:0002-421-6674경기도 하남시031-790-61332021-10-22
5287태성카공업사3경기도 안산시 상록구 반석로 89경기도 안산시 상록구 본오동 804-1537.296746126.8698752002-09-17231.01<NA><NA><NA><NA><NA><NA>경기도 안산시청031-481-29512023-05-30
4024덕정점 기아 오토큐3경기도 양주시 독바위로 31(덕정동)경기도 양주시 덕정동 286-35번지37.838506127.0629552006-09-13662.01<NA><NA><NA><NA><NA>031-857-8280경기도 양주시 차량관리과031-8082-66112023-12-01