Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory105.3 B

Variable types

Numeric4
DateTime1
Text3
Categorical4

Dataset

Description충청남도 보령시에 소재한 일반화물업체 현황 데이터로 허가연월일, 상호명, 사업의종류, 등록차량, 사업자구분, 도로명 주소 등의 항목으로 구성되어있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=42&beforeMenuCd=DOM_000000201001001000&publicdatapk=15114656

Alerts

영업상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 사업자구분High correlation
위도 is highly overall correlated with 사업의종류High correlation
사업의종류 is highly overall correlated with 위도High correlation
사업자구분 is highly overall correlated with 순번High correlation
사업의종류 is highly imbalanced (75.8%)Imbalance
순번 has unique valuesUnique
허가연월일 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:47:21.926279
Analysis finished2024-01-09 21:47:23.734390
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T06:47:23.780333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-01-10T06:47:23.873077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

허가연월일
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1962-06-22 00:00:00
Maximum2022-07-12 00:00:00
2024-01-10T06:47:23.964284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:24.065335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

상호명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-10T06:47:24.231680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.68
Min length3

Characters and Unicode

Total characters142
Distinct characters65
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)영흥
2nd row대성운수 주식회사
3rd row중앙지엘에스㈜
4th row(주)소울
5th row(주)서화
ValueCountFrequency (%)
주)영흥 1
 
3.8%
대성운수 1
 
3.8%
대천렉카 1
 
3.8%
대천카크레인 1
 
3.8%
보령렉카 1
 
3.8%
동대익스프레스 1
 
3.8%
예술카 1
 
3.8%
신아렉카 1
 
3.8%
보령로지스틱㈜ 1
 
3.8%
대보연합렉카 1
 
3.8%
Other values (16) 16
61.5%
2024-01-10T06:47:24.503624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 9
 
6.3%
㈜ 8
 
5.6%
카 6
 
4.2%
주 6
 
4.2%
천 6
 
4.2%
스 6
 
4.2%
( 5
 
3.5%
) 5
 
3.5%
보 4
 
2.8%
화 4
 
2.8%
Other values (55) 83
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
86.6%
Other Symbol 8
 
5.6%
Open Punctuation 5
 
3.5%
Close Punctuation 5
 
3.5%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 9
 
7.3%
카 6
 
4.9%
주 6
 
4.9%
천 6
 
4.9%
스 6
 
4.9%
보 4
 
3.3%
화 4
 
3.3%
렉 4
 
3.3%
물 4
 
3.3%
레 4
 
3.3%
Other values (51) 70
56.9%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
92.3%
Common 11
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 9
 
6.9%
㈜ 8
 
6.1%
카 6
 
4.6%
주 6
 
4.6%
천 6
 
4.6%
스 6
 
4.6%
보 4
 
3.1%
화 4
 
3.1%
렉 4
 
3.1%
물 4
 
3.1%
Other values (52) 74
56.5%
Common
ValueCountFrequency (%)
( 5
45.5%
) 5
45.5%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
86.6%
ASCII 11
 
7.7%
None 8
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 9
 
7.3%
카 6
 
4.9%
주 6
 
4.9%
천 6
 
4.9%
스 6
 
4.9%
보 4
 
3.3%
화 4
 
3.3%
렉 4
 
3.3%
물 4
 
3.3%
레 4
 
3.3%
Other values (51) 70
56.9%
None
ValueCountFrequency (%)
㈜ 8
100.0%
ASCII
ValueCountFrequency (%)
( 5
45.5%
) 5
45.5%
1
 
9.1%

사업의종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
(구)일반화물
24 
일반화물
 
1

Length

Max length7
Median length7
Mean length6.88
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row(구)일반화물
2nd row(구)일반화물
3rd row(구)일반화물
4th row(구)일반화물
5th row(구)일반화물

Common Values

ValueCountFrequency (%)
(구)일반화물 24
96.0%
일반화물 1
 
4.0%

Length

2024-01-10T06:47:24.613486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:47:24.689275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구)일반화물 24
96.0%
일반화물 1
 
4.0%

등록 차량(대)
Real number (ℝ)

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.08
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T06:47:24.766730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q319
95-th percentile84.4
Maximum98
Range97
Interquartile range (IQR)17

Descriptive statistics

Standard deviation26.883886
Coefficient of variation (CV)1.573998
Kurtosis4.4136136
Mean17.08
Median Absolute Deviation (MAD)3
Skewness2.2455926
Sum427
Variance722.74333
MonotonicityNot monotonic
2024-01-10T06:47:24.854630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 6
24.0%
4 3
12.0%
2 3
12.0%
58 1
 
4.0%
91 1
 
4.0%
7 1
 
4.0%
3 1
 
4.0%
19 1
 
4.0%
98 1
 
4.0%
14 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
1 6
24.0%
2 3
12.0%
3 1
 
4.0%
4 3
12.0%
7 1
 
4.0%
8 1
 
4.0%
9 1
 
4.0%
14 1
 
4.0%
15 1
 
4.0%
19 1
 
4.0%
ValueCountFrequency (%)
98 1
4.0%
91 1
4.0%
58 1
4.0%
37 1
4.0%
23 1
4.0%
21 1
4.0%
19 1
4.0%
15 1
4.0%
14 1
4.0%
9 1
4.0%

사업자구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
법인
14 
개인
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 14
56.0%
개인 11
44.0%

Length

2024-01-10T06:47:24.945251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:47:25.014090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 14
56.0%
개인 11
44.0%

소재지 도로명주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-10T06:47:25.167876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length22.72
Min length18

Characters and Unicode

Total characters568
Distinct characters83
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

Unique23 ?
Unique (%)92.0%

Sample

1st row충청남도 보령시 주교면 관창공단길 50
2nd row충청남도 보령시 주교면 보령북로 303
3rd row충청남도 보령시 보령남로 60 (명천동)
4th row충청남도 보령시 주교면 울계큰길 395, 유센테크 2층 201호
5th row충청남도 보령시 신평로 23 (동대동)
ValueCountFrequency (%)
충청남도 25
19.1%
보령시 25
19.1%
주교면 5
 
3.8%
동대동 3
 
2.3%
보령남로 3
 
2.3%
대해로 3
 
2.3%
명천동 3
 
2.3%
8 2
 
1.5%
토정로 2
 
1.5%
궁촌동 2
 
1.5%
Other values (53) 58
44.3%
2024-01-10T06:47:25.449210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
18.7%
남 30
 
5.3%
보 29
 
5.1%
령 29
 
5.1%
청 27
 
4.8%
충 25
 
4.4%
도 25
 
4.4%
시 25
 
4.4%
동 17
 
3.0%
로 16
 
2.8%
Other values (73) 239
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
62.0%
Space Separator 106
 
18.7%
Decimal Number 75
 
13.2%
Open Punctuation 14
 
2.5%
Close Punctuation 14
 
2.5%
Dash Punctuation 4
 
0.7%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 30
 
8.5%
보 29
 
8.2%
령 29
 
8.2%
청 27
 
7.7%
충 25
 
7.1%
도 25
 
7.1%
시 25
 
7.1%
동 17
 
4.8%
로 16
 
4.5%
면 10
 
2.8%
Other values (58) 119
33.8%
Decimal Number
ValueCountFrequency (%)
2 14
18.7%
1 11
14.7%
6 9
12.0%
5 7
9.3%
0 7
9.3%
3 7
9.3%
9 7
9.3%
7 6
8.0%
8 4
 
5.3%
4 3
 
4.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
62.0%
Common 216
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 30
 
8.5%
보 29
 
8.2%
령 29
 
8.2%
청 27
 
7.7%
충 25
 
7.1%
도 25
 
7.1%
시 25
 
7.1%
동 17
 
4.8%
로 16
 
4.5%
면 10
 
2.8%
Other values (58) 119
33.8%
Common
ValueCountFrequency (%)
106
49.1%
( 14
 
6.5%
2 14
 
6.5%
) 14
 
6.5%
1 11
 
5.1%
6 9
 
4.2%
5 7
 
3.2%
0 7
 
3.2%
3 7
 
3.2%
9 7
 
3.2%
Other values (5) 20
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
62.0%
ASCII 216
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
49.1%
( 14
 
6.5%
2 14
 
6.5%
) 14
 
6.5%
1 11
 
5.1%
6 9
 
4.2%
5 7
 
3.2%
0 7
 
3.2%
3 7
 
3.2%
9 7
 
3.2%
Other values (5) 20
 
9.3%
Hangul
ValueCountFrequency (%)
남 30
 
8.5%
보 29
 
8.2%
령 29
 
8.2%
청 27
 
7.7%
충 25
 
7.1%
도 25
 
7.1%
시 25
 
7.1%
동 17
 
4.8%
로 16
 
4.5%
면 10
 
2.8%
Other values (58) 119
33.8%

소재지 지번주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-10T06:47:25.614357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.72
Min length17

Characters and Unicode

Total characters493
Distinct characters47
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

Unique23 ?
Unique (%)92.0%

Sample

1st row충청남도 보령시 주교면 관창리 1227-5
2nd row충청남도 보령시 주교면 신대리 1008-1
3rd row충청남도 보령시 명천동 515-12
4th row충청남도 보령시 주교면 주교리 251-10
5th row충청남도 보령시 동대동 1007
ValueCountFrequency (%)
충청남도 25
22.5%
보령시 25
22.5%
주교면 5
 
4.5%
명천동 3
 
2.7%
동대동 3
 
2.7%
남포면 2
 
1.8%
은포리 2
 
1.8%
궁촌동 2
 
1.8%
내항동 2
 
1.8%
봉덕리 2
 
1.8%
Other values (38) 40
36.0%
2024-01-10T06:47:25.887627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
17.4%
남 27
 
5.5%
청 26
 
5.3%
령 26
 
5.3%
보 26
 
5.3%
시 25
 
5.1%
충 25
 
5.1%
도 25
 
5.1%
1 20
 
4.1%
5 19
 
3.9%
Other values (37) 188
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
57.4%
Decimal Number 105
 
21.3%
Space Separator 86
 
17.4%
Dash Punctuation 19
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 27
9.5%
청 26
 
9.2%
령 26
 
9.2%
보 26
 
9.2%
시 25
 
8.8%
충 25
 
8.8%
도 25
 
8.8%
동 17
 
6.0%
리 11
 
3.9%
면 10
 
3.5%
Other values (25) 65
23.0%
Decimal Number
ValueCountFrequency (%)
1 20
19.0%
5 19
18.1%
2 14
13.3%
7 11
10.5%
0 10
9.5%
4 9
8.6%
8 9
8.6%
6 6
 
5.7%
3 5
 
4.8%
9 2
 
1.9%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
57.4%
Common 210
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 27
9.5%
청 26
 
9.2%
령 26
 
9.2%
보 26
 
9.2%
시 25
 
8.8%
충 25
 
8.8%
도 25
 
8.8%
동 17
 
6.0%
리 11
 
3.9%
면 10
 
3.5%
Other values (25) 65
23.0%
Common
ValueCountFrequency (%)
86
41.0%
1 20
 
9.5%
5 19
 
9.0%
- 19
 
9.0%
2 14
 
6.7%
7 11
 
5.2%
0 10
 
4.8%
4 9
 
4.3%
8 9
 
4.3%
6 6
 
2.9%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
57.4%
ASCII 210
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
41.0%
1 20
 
9.5%
5 19
 
9.0%
- 19
 
9.0%
2 14
 
6.7%
7 11
 
5.2%
0 10
 
4.8%
4 9
 
4.3%
8 9
 
4.3%
6 6
 
2.9%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
남 27
9.5%
청 26
 
9.2%
령 26
 
9.2%
보 26
 
9.2%
시 25
 
8.8%
충 25
 
8.8%
도 25
 
8.8%
동 17
 
6.0%
리 11
 
3.9%
면 10
 
3.5%
Other values (25) 65
23.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.351215
Minimum36.220986
Maximum36.456443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T06:47:25.986924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.220986
5-th percentile36.312712
Q136.337401
median36.349541
Q336.366384
95-th percentile36.409637
Maximum36.456443
Range0.23545701
Interquartile range (IQR)0.028983026

Descriptive statistics

Standard deviation0.041320742
Coefficient of variation (CV)0.0011367087
Kurtosis4.5672054
Mean36.351215
Median Absolute Deviation (MAD)0.015017559
Skewness-0.51633329
Sum908.78037
Variance0.0017074037
MonotonicityNot monotonic
2024-01-10T06:47:26.074291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
36.3396781002 2
 
8.0%
36.3708261068 1
 
4.0%
36.3598805467 1
 
4.0%
36.3374008266 1
 
4.0%
36.3645590201 1
 
4.0%
36.3596849557 1
 
4.0%
36.3381322386 1
 
4.0%
36.3361672932 1
 
4.0%
36.2209863238 1
 
4.0%
36.333253 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
36.2209863238 1
4.0%
36.3107046464 1
4.0%
36.3207414489 1
4.0%
36.3228429941 1
4.0%
36.333253 1
4.0%
36.3361672932 1
4.0%
36.3374008266 1
4.0%
36.3380131882 1
4.0%
36.3381322386 1
4.0%
36.3396781002 2
8.0%
ValueCountFrequency (%)
36.4564433376 1
4.0%
36.4145186793 1
4.0%
36.3901093242 1
4.0%
36.3805044141 1
4.0%
36.3801390524 1
4.0%
36.3708261068 1
4.0%
36.3663838529 1
4.0%
36.3645590201 1
4.0%
36.3598805467 1
4.0%
36.3596849557 1
4.0%

경도
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58608
Minimum126.51483
Maximum126.66652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T06:47:26.159310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.51483
5-th percentile126.52865
Q1126.57794
median126.5922
Q3126.60281
95-th percentile126.61905
Maximum126.66652
Range0.15168773
Interquartile range (IQR)0.024875051

Descriptive statistics

Standard deviation0.031489969
Coefficient of variation (CV)0.00024876329
Kurtosis1.5751501
Mean126.58608
Median Absolute Deviation (MAD)0.013220439
Skewness-0.23013632
Sum3164.652
Variance0.00099161814
MonotonicityNot monotonic
2024-01-10T06:47:26.250514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.6004698954 2
 
8.0%
126.5779371446 1
 
4.0%
126.6665166819 1
 
4.0%
126.5746941338 1
 
4.0%
126.6218036151 1
 
4.0%
126.581712831 1
 
4.0%
126.5813608377 1
 
4.0%
126.600657239 1
 
4.0%
126.578621976 1
 
4.0%
126.52567 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
126.5148289548 1
4.0%
126.52567 1
4.0%
126.5405710918 1
4.0%
126.5418072784 1
4.0%
126.5684549109 1
4.0%
126.5746941338 1
4.0%
126.5779371446 1
4.0%
126.578621976 1
4.0%
126.5813608377 1
4.0%
126.581712831 1
4.0%
ValueCountFrequency (%)
126.6665166819 1
4.0%
126.6218036151 1
4.0%
126.6080341868 1
4.0%
126.6059495851 1
4.0%
126.6054224245 1
4.0%
126.60311173 1
4.0%
126.6028121954 1
4.0%
126.600657239 1
4.0%
126.6004698954 2
8.0%
126.5968369462 1
4.0%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
신규
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 25
100.0%

Length

2024-01-10T06:47:26.357568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:47:26.428139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 25
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-06-15
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-15
2nd row2023-06-15
3rd row2023-06-15
4th row2023-06-15
5th row2023-06-15

Common Values

ValueCountFrequency (%)
2023-06-15 25
100.0%

Length

2024-01-10T06:47:26.497001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:47:26.565402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-15 25
100.0%

Interactions

2024-01-10T06:47:23.248776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.295681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.543980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.003788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.311603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.355624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.607420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.062437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.377350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.417340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.664512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.124297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.439806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.478504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:22.723634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:23.180889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:47:26.613193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번허가연월일상호명사업의종류등록 차량(대)사업자구분소재지 도로명주소소재지 지번주소위도경도
순번1.0001.0001.0000.0000.2110.9900.9430.9430.2030.227
허가연월일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업의종류0.0001.0001.0001.0000.5030.0001.0001.0001.0000.690
등록 차량(대)0.2111.0001.0000.5031.0000.7410.0000.0000.0000.000
사업자구분0.9901.0001.0000.0000.7411.0001.0001.0000.2880.000
소재지 도로명주소0.9431.0001.0001.0000.0001.0001.0001.0001.0001.000
소재지 지번주소0.9431.0001.0001.0000.0001.0001.0001.0001.0001.000
위도0.2031.0001.0001.0000.0000.2881.0001.0001.0000.578
경도0.2271.0001.0000.6900.0000.0001.0001.0000.5781.000
2024-01-10T06:47:26.707424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업의종류사업자구분
사업의종류1.0000.000
사업자구분0.0001.000
2024-01-10T06:47:26.773323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록 차량(대)위도경도사업의종류사업자구분
순번1.000-0.497-0.3970.0080.3300.753
등록 차량(대)-0.4971.0000.281-0.3150.3190.494
위도-0.3970.2811.000-0.0120.8600.151
경도0.008-0.315-0.0121.0000.4420.000
사업의종류0.3300.3190.8600.4421.0000.000
사업자구분0.7530.4940.1510.0000.0001.000

Missing values

2024-01-10T06:47:23.546212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:47:23.685362image/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.

Sample

순번허가연월일상호명사업의종류등록 차량(대)사업자구분소재지 도로명주소소재지 지번주소위도경도영업상태데이터기준일자
011982-12-16(주)영흥(구)일반화물58법인충청남도 보령시 주교면 관창공단길 50충청남도 보령시 주교면 관창리 1227-536.370826126.577937신규2023-06-15
122015-10-16대성운수 주식회사(구)일반화물2법인충청남도 보령시 주교면 보령북로 303충청남도 보령시 주교면 신대리 1008-136.366384126.583245신규2023-06-15
232013-11-28중앙지엘에스㈜(구)일반화물21법인충청남도 보령시 보령남로 60 (명천동)충청남도 보령시 명천동 515-1236.339678126.60047신규2023-06-15
342011-06-29(주)소울(구)일반화물8법인충청남도 보령시 주교면 울계큰길 395, 유센테크 2층 201호충청남도 보령시 주교면 주교리 251-1036.390109126.568455신규2023-06-15
452010-09-13(주)서화(구)일반화물15법인충청남도 보령시 신평로 23 (동대동)충청남도 보령시 동대동 100736.353463126.60595신규2023-06-15
562007-11-07대천화물㈜(구)일반화물1법인충청남도 보령시 남포면 보령남로 272충청남도 보령시 남포면 봉덕리 488-2636.320741126.603112신규2023-06-15
672002-11-15(주)동부운수(구)일반화물4법인충청남도 보령시 청소면 송덕신송길 571-21충청남도 보령시 청소면 신송리 22-4136.456443126.594913신규2023-06-15
782011-06-13(주)홍진씨엠티(구)일반화물23법인충청남도 보령시 신설5길 86, 대양오피스텔 203호 (동대동)충청남도 보령시 동대동 108536.352862126.605422신규2023-06-15
892001-11-12현강로지스틱㈜(구)일반화물9법인충청남도 보령시 명해로 115 (궁촌동)충청남도 보령시 궁촌동 219-736.338013126.592202신규2023-06-15
9101996-08-01보령자원기술㈜(구)일반화물37법인충청남도 보령시 주교면 토정로 651충청남도 보령시 주교면 은포리 258-136.380139126.541807신규2023-06-15
순번허가연월일상호명사업의종류등록 차량(대)사업자구분소재지 도로명주소소재지 지번주소위도경도영업상태데이터기준일자
15162013-09-05오천화물(구)일반화물3개인충청남도 보령시 남포면 봉덕2길 8충청남도 보령시 남포면 봉덕리 5036.322843126.602812신규2023-06-15
16172009-05-07대보연합렉카(구)일반화물4개인충청남도 보령시 대해로 29-9 (궁촌동)충청남도 보령시 궁촌동 47-236.343853126.596837신규2023-06-15
17182008-08-29보령로지스틱㈜(구)일반화물2개인충청남도 보령시 큰오랏4길 46 (동대동)충청남도 보령시 동대동 145736.349541126.608034신규2023-06-15
18192006-05-18신아렉카(구)일반화물1개인충청남도 보령시 강당길 71 (신흑동)충청남도 보령시 신흑동 545-636.333253126.52567신규2023-06-15
19201998-12-15예술카(구)일반화물2개인충청남도 보령시 웅천읍 독산로 230-7충청남도 보령시 웅천읍 노천리 361-136.220986126.578622신규2023-06-15
20211996-07-20동대익스프레스(구)일반화물1개인충청남도 보령시 성주산로 7 (명천동)충청남도 보령시 명천동 570-1136.336167126.600657신규2023-06-15
21222008-10-30보령렉카(구)일반화물4개인충청남도 보령시 대해로 179 (내항동)충청남도 보령시 내항동 370-436.338132126.581361신규2023-06-15
22231995-06-05대천카크레인(구)일반화물1개인충청남도 보령시 양지길 1, 2층 (대천동)충청남도 보령시 대천동 563-436.359685126.581713신규2023-06-15
23241992-09-04대천렉카(구)일반화물1개인충청남도 보령시 대청로 299 (화산동)충청남도 보령시 화산동 603-836.364559126.621804신규2023-06-15
24251991-07-22대천추레라(구)일반화물7개인충청남도 보령시 대해로 238 (내항동)충청남도 보령시 내항동 558-936.337401126.574694신규2023-06-15