Overview

Dataset statistics

Number of variables10
Number of observations318
Missing cells22
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory82.4 B

Variable types

Numeric2
Categorical3
DateTime1
Text4

Dataset

Description충청남도 자동차관리사업체(종합정비업) 현황으로써 (영업상태, 등록일, 관리번호, 상호, 주소 등) 에 대한 데이터를 개방하고자 합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=403&beforeMenuCd=DOM_000000201001001000&publicdatapk=15048536

Alerts

상태정보 has constant value ""Constant
관리사업유형 has constant value ""Constant
정비형태 has constant value ""Constant
대지면적 has 12 (3.8%) missing valuesMissing
건물면적 has 10 (3.1%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:24:23.269027
Analysis finished2024-01-09 22:24:24.124663
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.5
Minimum1
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T07:24:24.437841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.85
Q180.25
median159.5
Q3238.75
95-th percentile302.15
Maximum318
Range317
Interquartile range (IQR)158.5

Descriptive statistics

Standard deviation91.942917
Coefficient of variation (CV)0.57644462
Kurtosis-1.2
Mean159.5
Median Absolute Deviation (MAD)79.5
Skewness0
Sum50721
Variance8453.5
MonotonicityStrictly increasing
2024-01-10T07:24:24.542985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
211 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
210 1
 
0.3%
Other values (308) 308
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%

상태정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업
318 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 318
100.0%

Length

2024-01-10T07:24:24.643743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:24:24.715642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 318
100.0%

등록년월일
Date

Distinct302
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1968-12-19 00:00:00
Maximum2023-07-26 00:00:00
2024-01-10T07:24:24.792480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:24:24.899367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리사업등록번호
Text

Distinct317
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T07:24:25.102536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters4452
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)99.4%

Sample

1st rowMG014411000012
2nd rowMG014422000019
3rd rowMG014422000024
4th rowMG014410000062
5th rowMG014427000099
ValueCountFrequency (%)
mg014413001069 2
 
0.6%
mg014422000054 1
 
0.3%
mg014413001746 1
 
0.3%
mg014410000385 1
 
0.3%
mg014410000384 1
 
0.3%
mg014413001739 1
 
0.3%
mg014423000157 1
 
0.3%
mg014415000221 1
 
0.3%
mg014415000219 1
 
0.3%
mg014411000012 1
 
0.3%
Other values (307) 307
96.5%
2024-01-10T07:24:25.399246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1378
31.0%
1 805
18.1%
4 733
16.5%
M 318
 
7.1%
G 318
 
7.1%
2 202
 
4.5%
3 190
 
4.3%
7 121
 
2.7%
8 110
 
2.5%
6 101
 
2.3%
Other values (2) 176
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3816
85.7%
Uppercase Letter 636
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1378
36.1%
1 805
21.1%
4 733
19.2%
2 202
 
5.3%
3 190
 
5.0%
7 121
 
3.2%
8 110
 
2.9%
6 101
 
2.6%
5 95
 
2.5%
9 81
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 318
50.0%
G 318
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3816
85.7%
Latin 636
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1378
36.1%
1 805
21.1%
4 733
19.2%
2 202
 
5.3%
3 190
 
5.0%
7 121
 
3.2%
8 110
 
2.9%
6 101
 
2.6%
5 95
 
2.5%
9 81
 
2.1%
Latin
ValueCountFrequency (%)
M 318
50.0%
G 318
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1378
31.0%
1 805
18.1%
4 733
16.5%
M 318
 
7.1%
G 318
 
7.1%
2 202
 
4.5%
3 190
 
4.3%
7 121
 
2.7%
8 110
 
2.5%
6 101
 
2.3%
Other values (2) 176
 
4.0%

사업자상호(명칭)
Text

Distinct310
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T07:24:25.590682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.5974843
Min length3

Characters and Unicode

Total characters2734
Distinct characters227
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)95.3%

Sample

1st row보령자동차공업사
2nd row진흥자동차공업사(주)
3rd row진흥자동차정비공장㈜
4th row은성자동차정비(주)
5th row합덕자동차공업사
ValueCountFrequency (%)
주식회사 13
 
3.6%
1급 7
 
1.9%
자동차 3
 
0.8%
현대모터스 3
 
0.8%
중앙자동차공업사 2
 
0.6%
오토엠 2
 
0.6%
현대서비스 2
 
0.6%
미래모터스 2
 
0.6%
정비공장 2
 
0.6%
진모터스 2
 
0.6%
Other values (321) 325
89.5%
2024-01-10T07:24:25.896924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 149
 
5.4%
동 124
 
4.5%
사 121
 
4.4%
공 116
 
4.2%
주 115
 
4.2%
차 113
 
4.1%
자 112
 
4.1%
업 112
 
4.1%
터 110
 
4.0%
비 107
 
3.9%
Other values (217) 1555
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2452
89.7%
Open Punctuation 97
 
3.5%
Close Punctuation 97
 
3.5%
Space Separator 45
 
1.6%
Decimal Number 23
 
0.8%
Uppercase Letter 16
 
0.6%
Other Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 149
 
6.1%
동 124
 
5.1%
사 121
 
4.9%
공 116
 
4.7%
주 115
 
4.7%
차 113
 
4.6%
자 112
 
4.6%
업 112
 
4.6%
터 110
 
4.5%
비 107
 
4.4%
Other values (196) 1273
51.9%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
J 2
12.5%
A 2
12.5%
M 2
12.5%
Y 1
 
6.2%
D 1
 
6.2%
C 1
 
6.2%
E 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 19
82.6%
0 2
 
8.7%
2 1
 
4.3%
3 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2454
89.8%
Common 264
 
9.7%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 149
 
6.1%
동 124
 
5.1%
사 121
 
4.9%
공 116
 
4.7%
주 115
 
4.7%
차 113
 
4.6%
자 112
 
4.6%
업 112
 
4.6%
터 110
 
4.5%
비 107
 
4.4%
Other values (197) 1275
52.0%
Latin
ValueCountFrequency (%)
S 3
18.8%
J 2
12.5%
A 2
12.5%
M 2
12.5%
Y 1
 
6.2%
D 1
 
6.2%
C 1
 
6.2%
E 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
Common
ValueCountFrequency (%)
( 97
36.7%
) 97
36.7%
45
17.0%
1 19
 
7.2%
0 2
 
0.8%
- 1
 
0.4%
& 1
 
0.4%
2 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2452
89.7%
ASCII 280
 
10.2%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 149
 
6.1%
동 124
 
5.1%
사 121
 
4.9%
공 116
 
4.7%
주 115
 
4.7%
차 113
 
4.6%
자 112
 
4.6%
업 112
 
4.6%
터 110
 
4.5%
비 107
 
4.4%
Other values (196) 1273
51.9%
ASCII
ValueCountFrequency (%)
( 97
34.6%
) 97
34.6%
45
16.1%
1 19
 
6.8%
S 3
 
1.1%
J 2
 
0.7%
0 2
 
0.7%
A 2
 
0.7%
M 2
 
0.7%
- 1
 
0.4%
Other values (10) 10
 
3.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

사업자주소
Text

Distinct314
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T07:24:26.209842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length23.949686
Min length18

Characters and Unicode

Total characters7616
Distinct characters220
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

Unique310 ?
Unique (%)97.5%

Sample

1st row충청남도 보령시 중앙로 33(대천동)
2nd row충청남도 청양군 청양읍 읍내리 176-3번지
3rd row충청남도 청양군 청양읍 읍내리 산 176번지 3호
4th row충청남도 아산시 실옥로 110-20(실옥동)
5th row충청남도 당진시 합덕읍 운산리 26번지
ValueCountFrequency (%)
충청남도 318
 
19.5%
천안시 97
 
5.9%
동남구 50
 
3.1%
서북구 47
 
2.9%
아산시 40
 
2.5%
당진시 36
 
2.2%
논산시 29
 
1.8%
서산시 25
 
1.5%
공주시 17
 
1.0%
보령시 15
 
0.9%
Other values (658) 958
58.7%
2024-01-10T07:24:26.630572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1314
 
17.3%
남 393
 
5.2%
충 345
 
4.5%
청 345
 
4.5%
도 320
 
4.2%
시 267
 
3.5%
1 266
 
3.5%
로 221
 
2.9%
동 203
 
2.7%
산 182
 
2.4%
Other values (210) 3760
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4692
61.6%
Space Separator 1314
 
17.3%
Decimal Number 1228
 
16.1%
Close Punctuation 126
 
1.7%
Open Punctuation 125
 
1.6%
Dash Punctuation 96
 
1.3%
Other Punctuation 35
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 393
 
8.4%
충 345
 
7.4%
청 345
 
7.4%
도 320
 
6.8%
시 267
 
5.7%
로 221
 
4.7%
동 203
 
4.3%
산 182
 
3.9%
천 162
 
3.5%
안 124
 
2.6%
Other values (193) 2130
45.4%
Decimal Number
ValueCountFrequency (%)
1 266
21.7%
2 140
11.4%
3 137
11.2%
4 117
9.5%
0 107
8.7%
7 99
 
8.1%
5 99
 
8.1%
8 92
 
7.5%
6 88
 
7.2%
9 83
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 33
94.3%
: 1
 
2.9%
/ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
1314
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4692
61.6%
Common 2924
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 393
 
8.4%
충 345
 
7.4%
청 345
 
7.4%
도 320
 
6.8%
시 267
 
5.7%
로 221
 
4.7%
동 203
 
4.3%
산 182
 
3.9%
천 162
 
3.5%
안 124
 
2.6%
Other values (193) 2130
45.4%
Common
ValueCountFrequency (%)
1314
44.9%
1 266
 
9.1%
2 140
 
4.8%
3 137
 
4.7%
) 126
 
4.3%
( 125
 
4.3%
4 117
 
4.0%
0 107
 
3.7%
7 99
 
3.4%
5 99
 
3.4%
Other values (7) 394
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4692
61.6%
ASCII 2924
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1314
44.9%
1 266
 
9.1%
2 140
 
4.8%
3 137
 
4.7%
) 126
 
4.3%
( 125
 
4.3%
4 117
 
4.0%
0 107
 
3.7%
7 99
 
3.4%
5 99
 
3.4%
Other values (7) 394
 
13.5%
Hangul
ValueCountFrequency (%)
남 393
 
8.4%
충 345
 
7.4%
청 345
 
7.4%
도 320
 
6.8%
시 267
 
5.7%
로 221
 
4.7%
동 203
 
4.3%
산 182
 
3.9%
천 162
 
3.5%
안 124
 
2.6%
Other values (193) 2130
45.4%

관리사업유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
자동차정비업
318 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차정비업 318
100.0%

Length

2024-01-10T07:24:26.737173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:24:26.808782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차정비업 318
100.0%

정비형태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
자동차종합정비업
318 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차종합정비업 318
100.0%

Length

2024-01-10T07:24:26.882929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:24:26.953581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차종합정비업 318
100.0%

대지면적
Real number (ℝ)

MISSING 

Distinct286
Distinct (%)93.5%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean3162.6829
Minimum35.96
Maximum84126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T07:24:27.038670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.96
5-th percentile816.725
Q11363
median2036
Q33320.75
95-th percentile7539
Maximum84126
Range84090.04
Interquartile range (IQR)1957.75

Descriptive statistics

Standard deviation5439.8407
Coefficient of variation (CV)1.7200082
Kurtosis164.21997
Mean3162.6829
Median Absolute Deviation (MAD)913.73
Skewness11.535168
Sum967780.98
Variance29591867
MonotonicityNot monotonic
2024-01-10T07:24:27.162663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 6
 
1.9%
2976.0 3
 
0.9%
1650.0 3
 
0.9%
1001.0 3
 
0.9%
1818.0 3
 
0.9%
1100.0 3
 
0.9%
2877.0 2
 
0.6%
1360.0 2
 
0.6%
2555.0 2
 
0.6%
3000.0 2
 
0.6%
Other values (276) 277
87.1%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
35.96 1
0.3%
136.8 1
0.3%
164.9 1
0.3%
181.6 1
0.3%
218.64 1
0.3%
277.0 1
0.3%
312.0 1
0.3%
362.0 1
0.3%
429.0 1
0.3%
485.0 1
0.3%
ValueCountFrequency (%)
84126.0 1
0.3%
32769.0 1
0.3%
15033.0 1
0.3%
13622.0 1
0.3%
12938.0 1
0.3%
10126.0 1
0.3%
10000.0 1
0.3%
9990.0 1
0.3%
9772.0 1
0.3%
9766.0 1
0.3%

건물면적
Text

MISSING 

Distinct292
Distinct (%)94.8%
Missing10
Missing (%)3.1%
Memory size2.6 KiB
2024-01-10T07:24:27.484371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.5746753
Min length1

Characters and Unicode

Total characters1409
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)91.2%

Sample

1st row1000
2nd row1855
3rd row0
4th row1267
5th row495
ValueCountFrequency (%)
0 7
 
2.3%
787.23 2
 
0.7%
507 2
 
0.7%
1000 2
 
0.7%
260 2
 
0.7%
351 2
 
0.7%
1141 2
 
0.7%
618 2
 
0.7%
1800 2
 
0.7%
648 2
 
0.7%
Other values (281) 282
91.9%
2024-01-10T07:24:27.932808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 161
11.4%
1 158
11.2%
4 145
10.3%
2 141
10.0%
3 129
9.2%
5 127
9.0%
6 121
8.6%
8 121
8.6%
7 113
8.0%
9 99
7.0%
Other values (2) 94
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1247
88.5%
Other Punctuation 161
 
11.4%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 158
12.7%
4 145
11.6%
2 141
11.3%
3 129
10.3%
5 127
10.2%
6 121
9.7%
8 121
9.7%
7 113
9.1%
9 99
7.9%
0 93
7.5%
Other Punctuation
ValueCountFrequency (%)
. 161
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 161
11.4%
1 158
11.2%
4 145
10.3%
2 141
10.0%
3 129
9.2%
5 127
9.0%
6 121
8.6%
8 121
8.6%
7 113
8.0%
9 99
7.0%
Other values (2) 94
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 161
11.4%
1 158
11.2%
4 145
10.3%
2 141
10.0%
3 129
9.2%
5 127
9.0%
6 121
8.6%
8 121
8.6%
7 113
8.0%
9 99
7.0%
Other values (2) 94
6.7%

Interactions

2024-01-10T07:24:23.745816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:24:23.609947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:24:23.809417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:24:23.680759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:24:28.010537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대지면적
순번1.0000.000
대지면적0.0001.000
2024-01-10T07:24:28.073788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대지면적
순번1.0000.117
대지면적0.1171.000

Missing values

2024-01-10T07:24:23.892720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:24:24.009847image/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.
2024-01-10T07:24:24.088095image/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

순번상태정보등록년월일관리사업등록번호사업자상호(명칭)사업자주소관리사업유형정비형태대지면적건물면적
01영업1968-12-19MG014411000012보령자동차공업사충청남도 보령시 중앙로 33(대천동)자동차정비업자동차종합정비업3057.01000
12영업1982-02-13MG014422000019진흥자동차공업사(주)충청남도 청양군 청양읍 읍내리 176-3번지자동차정비업자동차종합정비업<NA><NA>
23영업1982-02-13MG014422000024진흥자동차정비공장㈜충청남도 청양군 청양읍 읍내리 산 176번지 3호자동차정비업자동차종합정비업1741.01855
34영업1988-08-22MG014410000062은성자동차정비(주)충청남도 아산시 실옥로 110-20(실옥동)자동차정비업자동차종합정비업2993.00
45영업1988-10-10MG014427000099합덕자동차공업사충청남도 당진시 합덕읍 운산리 26번지자동차정비업자동차종합정비업5141.01267
56영업1992-07-04MG014424000023(합)경남자동차공업사충청남도 홍성군 홍성읍 충서로 1705-27자동차정비업자동차종합정비업1190.0495
67영업1993-07-31MG014411000013태영자동차공업사충청남도 보령시 청룡굴길 52(명천동)자동차정비업자동차종합정비업1194.0328
78영업1993-08-13MG014412000014왕성자동차정비공업사충청남도 공주시 우성면 상서리 149번지 (도로명 주소 : 질마고개길 21))자동차정비업자동차종합정비업1935.4176.67
89영업1993-12-06MG014418000038현대공업사충청남도 부여군 규암면 흥수로 860자동차정비업자동차종합정비업2877.0546
910영업1993-12-06MG014418000070대원종합모터스충청남도 부여군 규암면 반산로 8자동차정비업자동차종합정비업2877.0546.16
순번상태정보등록년월일관리사업등록번호사업자상호(명칭)사업자주소관리사업유형정비형태대지면적건물면적
308309영업2022-03-25MG014427000355조선모터스충청남도 당진시 송산면 틀모시로 990-6자동차정비업자동차종합정비업4146.01292.39
309310영업2022-04-04MG014410000469길모터스충청남도 아산시 배방읍 배방로 58-44, 207동 8층 3호자동차정비업자동차종합정비업2976.01071
310311영업2022-04-11MG014410000471(주)하마모터스충청남도 천안시 서북구 성성9로 14, 203동 31층 1호(성성동)자동차정비업자동차종합정비업1925.0507
311312영업2022-05-19MG014415000257주식회사 오토엠 팩토리충청남도 서산시 덕지천로 254(오남동)자동차정비업자동차종합정비업4100.01500
312313영업2022-12-06MG014412000187신관자동차공업사충청남도 공주시 계룡면 향포점골길 92-3자동차정비업자동차종합정비업2037.0393.14
313314영업2023-02-03MG014424000144홍성 자동차 공업사충청남도 예산군 예산읍 간양길 135자동차정비업자동차종합정비업3855.01141
314315영업2023-02-15MG014416000076추부투투충청남도 금산군 제원면 제원로 25-1자동차정비업자동차종합정비업3327.01999.2
315316영업2023-02-27MG014413001929우정모터스충청남도 천안시 서북구 성성9로 14, 211동 2403호(성성동)자동차정비업자동차종합정비업1513.0299.47
316317영업2023-07-14MG014419000296(주)다해종합정비공업사충청남도 금산군 복수면 구례리 406번지자동차정비업자동차종합정비업3172.0799.4
317318영업2023-07-26MG014410000478밀리언모터스충청남도 아산시 배방읍 배방로 127, 606동 9층 4호자동차정비업자동차종합정비업4687.01185.65