Overview

Dataset statistics

Number of variables13
Number of observations42
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory112.1 B

Variable types

Text4
Categorical5
Numeric3
DateTime1

Dataset

Description전라남도 영광군의 자동차정비업체 관한 데이터로 업체명, 업체종류,주소(도로명,지번), 면적, 사업등록일자,전화번호 등이 있습니다.
URLhttps://www.data.go.kr/data/15076959/fileData.do

Alerts

영업상태 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
면적 is highly overall correlated with 자동차정비업체종류High correlation
자동차정비업체종류 is highly overall correlated with 면적High correlation
전화번호 has 1 (2.4%) missing valuesMissing
자동차정비업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:02:02.868597
Analysis finished2023-12-12 16:02:04.780110
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자동차정비업체명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:02:04.991811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length7.8809524
Min length3

Characters and Unicode

Total characters331
Distinct characters101
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

Unique42 ?
Unique (%)100.0%

Sample

1st row대광자동차공업사
2nd row옥당종합자동차정비공장
3rd row형제부분정비업소
4th row르노코리아자동차 서비스코너 영광점
5th row성산카센타
ValueCountFrequency (%)
영광 2
 
3.6%
영광점 2
 
3.6%
홍농점 2
 
3.6%
홍농점기아오토큐 1
 
1.8%
이철모터스 1
 
1.8%
애니카랜드 1
 
1.8%
동원카써비스 1
 
1.8%
대신자동차공업사 1
 
1.8%
한국지엠영광바로서비스 1
 
1.8%
양지카센타 1
 
1.8%
Other values (42) 42
76.4%
2023-12-13T01:02:05.524971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 17
 
5.1%
자 14
 
4.2%
동 14
 
4.2%
비 13
 
3.9%
차 13
 
3.9%
13
 
3.9%
업 12
 
3.6%
광 11
 
3.3%
센 11
 
3.3%
영 11
 
3.3%
Other values (91) 202
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
95.2%
Space Separator 13
 
3.9%
Decimal Number 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 17
 
5.4%
자 14
 
4.4%
동 14
 
4.4%
비 13
 
4.1%
차 13
 
4.1%
업 12
 
3.8%
광 11
 
3.5%
센 11
 
3.5%
영 11
 
3.5%
공 11
 
3.5%
Other values (88) 188
59.7%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
95.2%
Common 16
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 17
 
5.4%
자 14
 
4.4%
동 14
 
4.4%
비 13
 
4.1%
차 13
 
4.1%
업 12
 
3.8%
광 11
 
3.5%
센 11
 
3.5%
영 11
 
3.5%
공 11
 
3.5%
Other values (88) 188
59.7%
Common
ValueCountFrequency (%)
13
81.2%
3 2
 
12.5%
1 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
95.2%
ASCII 16
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 17
 
5.4%
자 14
 
4.4%
동 14
 
4.4%
비 13
 
4.1%
차 13
 
4.1%
업 12
 
3.8%
광 11
 
3.5%
센 11
 
3.5%
영 11
 
3.5%
공 11
 
3.5%
Other values (88) 188
59.7%
ASCII
ValueCountFrequency (%)
13
81.2%
3 2
 
12.5%
1 1
 
6.2%

자동차정비업체종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
99
36 
1
6 

Length

Max length2
Median length2
Mean length1.8571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row99
4th row99
5th row99

Common Values

ValueCountFrequency (%)
99 36
85.7%
1 6
 
14.3%

Length

2023-12-13T01:02:05.693850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:05.830789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 36
85.7%
1 6
 
14.3%

소재지도로명주소
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:02:06.046640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.785714
Min length18

Characters and Unicode

Total characters873
Distinct characters45
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

Unique40 ?
Unique (%)95.2%

Sample

1st row전라남도 영광군 영광읍 단신길1길 22
2nd row전라남도 영광군 영광읍 영대로 259
3rd row전라남도 영광군 영광읍 옥당로 178
4th row전라남도 영광군 영광읍 천년로13길 45
5th row전라남도 영광군 홍농읍 홍농로 742
ValueCountFrequency (%)
전라남도 42
20.0%
영광군 42
20.0%
영광읍 33
15.7%
옥당로 7
 
3.3%
홍농로 5
 
2.4%
홍농읍 5
 
2.4%
천년로 5
 
2.4%
영대로 3
 
1.4%
4 3
 
1.4%
대하길 3
 
1.4%
Other values (53) 62
29.5%
2023-12-13T01:02:06.477448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
19.2%
영 79
 
9.0%
광 75
 
8.6%
전 42
 
4.8%
남 42
 
4.8%
도 42
 
4.8%
군 42
 
4.8%
라 42
 
4.8%
읍 39
 
4.5%
로 36
 
4.1%
Other values (35) 266
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 559
64.0%
Space Separator 168
 
19.2%
Decimal Number 141
 
16.2%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 79
14.1%
광 75
13.4%
전 42
7.5%
남 42
7.5%
도 42
7.5%
군 42
7.5%
라 42
7.5%
읍 39
 
7.0%
로 36
 
6.4%
길 19
 
3.4%
Other values (23) 101
18.1%
Decimal Number
ValueCountFrequency (%)
1 36
25.5%
2 28
19.9%
3 16
11.3%
4 15
10.6%
0 10
 
7.1%
5 10
 
7.1%
9 8
 
5.7%
6 7
 
5.0%
7 6
 
4.3%
8 5
 
3.5%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 559
64.0%
Common 314
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 79
14.1%
광 75
13.4%
전 42
7.5%
남 42
7.5%
도 42
7.5%
군 42
7.5%
라 42
7.5%
읍 39
 
7.0%
로 36
 
6.4%
길 19
 
3.4%
Other values (23) 101
18.1%
Common
ValueCountFrequency (%)
168
53.5%
1 36
 
11.5%
2 28
 
8.9%
3 16
 
5.1%
4 15
 
4.8%
0 10
 
3.2%
5 10
 
3.2%
9 8
 
2.5%
6 7
 
2.2%
7 6
 
1.9%
Other values (2) 10
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
64.0%
ASCII 314
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
53.5%
1 36
 
11.5%
2 28
 
8.9%
3 16
 
5.1%
4 15
 
4.8%
0 10
 
3.2%
5 10
 
3.2%
9 8
 
2.5%
6 7
 
2.2%
7 6
 
1.9%
Other values (2) 10
 
3.2%
Hangul
ValueCountFrequency (%)
영 79
14.1%
광 75
13.4%
전 42
7.5%
남 42
7.5%
도 42
7.5%
군 42
7.5%
라 42
7.5%
읍 39
 
7.0%
로 36
 
6.4%
길 19
 
3.4%
Other values (23) 101
18.1%

소재지지번주소
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T01:02:06.756879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length21.571429
Min length19

Characters and Unicode

Total characters906
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

Unique40 ?
Unique (%)95.2%

Sample

1st row전라남도 영광군 영광읍 단주리 435-1
2nd row전라남도 영광군 영광읍 무령리 108
3rd row전라남도 영광군 영광읍 단주리 575
4th row전라남도 영광군 영광읍 백학리 94
5th row전라남도 영광군 홍농읍 성산리 273-3
ValueCountFrequency (%)
전라남도 42
20.0%
영광군 42
20.0%
영광읍 33
15.7%
신하리 14
 
6.7%
단주리 7
 
3.3%
홍농읍 5
 
2.4%
녹사리 4
 
1.9%
월평리 3
 
1.4%
상하리 3
 
1.4%
법성면 2
 
1.0%
Other values (51) 55
26.2%
2023-12-13T01:02:07.159438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
18.5%
영 75
 
8.3%
광 75
 
8.3%
남 45
 
5.0%
전 42
 
4.6%
도 42
 
4.6%
군 42
 
4.6%
라 42
 
4.6%
리 42
 
4.6%
읍 39
 
4.3%
Other values (37) 294
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
60.3%
Space Separator 168
 
18.5%
Decimal Number 160
 
17.7%
Dash Punctuation 32
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 75
13.7%
광 75
13.7%
남 45
8.2%
전 42
7.7%
도 42
7.7%
군 42
7.7%
라 42
7.7%
리 42
7.7%
읍 39
7.1%
하 17
 
3.1%
Other values (25) 85
15.6%
Decimal Number
ValueCountFrequency (%)
1 34
21.2%
3 30
18.8%
4 19
11.9%
5 16
10.0%
6 13
 
8.1%
8 13
 
8.1%
0 13
 
8.1%
2 11
 
6.9%
7 8
 
5.0%
9 3
 
1.9%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
60.3%
Common 360
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 75
13.7%
광 75
13.7%
남 45
8.2%
전 42
7.7%
도 42
7.7%
군 42
7.7%
라 42
7.7%
리 42
7.7%
읍 39
7.1%
하 17
 
3.1%
Other values (25) 85
15.6%
Common
ValueCountFrequency (%)
168
46.7%
1 34
 
9.4%
- 32
 
8.9%
3 30
 
8.3%
4 19
 
5.3%
5 16
 
4.4%
6 13
 
3.6%
8 13
 
3.6%
0 13
 
3.6%
2 11
 
3.1%
Other values (2) 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
60.3%
ASCII 360
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
46.7%
1 34
 
9.4%
- 32
 
8.9%
3 30
 
8.3%
4 19
 
5.3%
5 16
 
4.4%
6 13
 
3.6%
8 13
 
3.6%
0 13
 
3.6%
2 11
 
3.1%
Other values (2) 11
 
3.1%
Hangul
ValueCountFrequency (%)
영 75
13.7%
광 75
13.7%
남 45
8.2%
전 42
7.7%
도 42
7.7%
군 42
7.7%
라 42
7.7%
리 42
7.7%
읍 39
7.1%
하 17
 
3.1%
Other values (25) 85
15.6%

위도
Real number (ℝ)

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.293545
Minimum35.21996
Maximum35.415794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T01:02:07.330587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.21996
5-th percentile35.265658
Q135.272203
median35.277413
Q335.285423
95-th percentile35.39941
Maximum35.415794
Range0.1958338
Interquartile range (IQR)0.013220012

Descriptive statistics

Standard deviation0.045443068
Coefficient of variation (CV)0.0012875745
Kurtosis2.0274647
Mean35.293545
Median Absolute Deviation (MAD)0.00566025
Skewness1.7495613
Sum1482.3289
Variance0.0020650725
MonotonicityNot monotonic
2023-12-13T01:02:07.516480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.27060695 2
 
4.8%
35.2808118 1
 
2.4%
35.272342 1
 
2.4%
35.4055508 1
 
2.4%
35.28132885 1
 
2.4%
35.272156 1
 
2.4%
35.2730264 1
 
2.4%
35.26659144 1
 
2.4%
35.2821141 1
 
2.4%
35.39878625 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
35.2199602 1
2.4%
35.26365672 1
2.4%
35.26562154 1
2.4%
35.2663425 1
2.4%
35.26659144 1
2.4%
35.270173 1
2.4%
35.27060695 2
4.8%
35.2717506 1
2.4%
35.271755 1
2.4%
35.272156 1
2.4%
ValueCountFrequency (%)
35.415794 1
2.4%
35.4055508 1
2.4%
35.39944309 1
2.4%
35.39878625 1
2.4%
35.3938509 1
2.4%
35.35621474 1
2.4%
35.354176 1
2.4%
35.28735476 1
2.4%
35.28735377 1
2.4%
35.28700049 1
2.4%

경도
Real number (ℝ)

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.48735
Minimum126.37495
Maximum126.51389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T01:02:07.669702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.37495
5-th percentile126.43887
Q1126.48828
median126.49948
Q3126.50223
95-th percentile126.5117
Maximum126.51389
Range0.1389369
Interquartile range (IQR)0.01395425

Descriptive statistics

Standard deviation0.029582687
Coefficient of variation (CV)0.00023387861
Kurtosis4.1125295
Mean126.48735
Median Absolute Deviation (MAD)0.00510125
Skewness-1.9876165
Sum5312.4688
Variance0.00087513535
MonotonicityNot monotonic
2023-12-13T01:02:07.832889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
126.4971057 2
 
4.8%
126.4966694 1
 
2.4%
126.4997803 1
 
2.4%
126.448637 1
 
2.4%
126.4858765 1
 
2.4%
126.4993036 1
 
2.4%
126.501669 1
 
2.4%
126.4947088 1
 
2.4%
126.499819 1
 
2.4%
126.449273 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
126.3749506 1
2.4%
126.422722 1
2.4%
126.4385477 1
2.4%
126.445053 1
2.4%
126.448619 1
2.4%
126.448637 1
2.4%
126.449273 1
2.4%
126.449426 1
2.4%
126.451506 1
2.4%
126.4858765 1
2.4%
ValueCountFrequency (%)
126.5138875 1
2.4%
126.5132368 1
2.4%
126.5117746 1
2.4%
126.510326 1
2.4%
126.5095863 1
2.4%
126.508719 1
2.4%
126.5070751 1
2.4%
126.506828 1
2.4%
126.5047273 1
2.4%
126.5044418 1
2.4%

사업등록일자
Date

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1981-11-15 00:00:00
Maximum2019-02-21 00:00:00
2023-12-13T01:02:08.001657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:08.478463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean604.87143
Minimum122.6
Maximum2451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T01:02:08.657928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122.6
5-th percentile129.25
Q1198
median370.85
Q3673
95-th percentile1870.25
Maximum2451
Range2328.4
Interquartile range (IQR)475

Descriptive statistics

Standard deviation575.77564
Coefficient of variation (CV)0.95189757
Kurtosis2.696533
Mean604.87143
Median Absolute Deviation (MAD)200.05
Skewness1.7720215
Sum25404.6
Variance331517.59
MonotonicityNot monotonic
2023-12-13T01:02:08.855062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
198.0 2
 
4.8%
165.0 1
 
2.4%
1884.0 1
 
2.4%
467.0 1
 
2.4%
378.1 1
 
2.4%
1013.0 1
 
2.4%
179.0 1
 
2.4%
334.0 1
 
2.4%
363.6 1
 
2.4%
649.0 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
122.6 1
2.4%
123.6 1
2.4%
129.0 1
2.4%
134.0 1
2.4%
162.0 1
2.4%
165.0 1
2.4%
176.6 1
2.4%
178.0 1
2.4%
179.0 1
2.4%
197.0 1
2.4%
ValueCountFrequency (%)
2451.0 1
2.4%
2200.0 1
2.4%
1884.0 1
2.4%
1609.0 1
2.4%
1370.0 1
2.4%
1339.0 1
2.4%
1101.0 1
2.4%
1013.0 1
2.4%
965.0 1
2.4%
694.0 1
2.4%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
42 

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 42
100.0%

Length

2023-12-13T01:02:09.007284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:09.152850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
100.0%

전화번호
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Memory size468.0 B
2023-12-13T01:02:09.404267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row061-351-2284
2nd row061-351-4441
3rd row061-353-0005
4th row061-351-1479
5th row061-356-5537
ValueCountFrequency (%)
061-351-2284 1
 
2.4%
061-356-4972 1
 
2.4%
061-356-0505 1
 
2.4%
061-356-7716 1
 
2.4%
061-351-0808 1
 
2.4%
061-353-8310 1
 
2.4%
061-352-2263 1
 
2.4%
061-352-8400 1
 
2.4%
061-353-0982 1
 
2.4%
061-356-8285 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T01:02:09.822596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.7%
1 69
14.0%
0 67
13.6%
5 63
12.8%
3 60
12.2%
6 59
12.0%
2 28
 
5.7%
8 23
 
4.7%
7 15
 
3.0%
4 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 69
16.8%
0 67
16.3%
5 63
15.4%
3 60
14.6%
6 59
14.4%
2 28
6.8%
8 23
 
5.6%
7 15
 
3.7%
4 14
 
3.4%
9 12
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.7%
1 69
14.0%
0 67
13.6%
5 63
12.8%
3 60
12.2%
6 59
12.0%
2 28
 
5.7%
8 23
 
4.7%
7 15
 
3.0%
4 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.7%
1 69
14.0%
0 67
13.6%
5 63
12.8%
3 60
12.2%
6 59
12.0%
2 28
 
5.7%
8 23
 
4.7%
7 15
 
3.0%
4 14
 
2.8%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
전라남도 영광군청
42 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 영광군청
2nd row전라남도 영광군청
3rd row전라남도 영광군청
4th row전라남도 영광군청
5th row전라남도 영광군청

Common Values

ValueCountFrequency (%)
전라남도 영광군청 42
100.0%

Length

2023-12-13T01:02:09.969441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:10.070038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 42
50.0%
영광군청 42
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
061-350-5362
42 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row061-350-5362
2nd row061-350-5362
3rd row061-350-5362
4th row061-350-5362
5th row061-350-5362

Common Values

ValueCountFrequency (%)
061-350-5362 42
100.0%

Length

2023-12-13T01:02:10.173652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:10.287932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
061-350-5362 42
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-08-22
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-22
2nd row2023-08-22
3rd row2023-08-22
4th row2023-08-22
5th row2023-08-22

Common Values

ValueCountFrequency (%)
2023-08-22 42
100.0%

Length

2023-12-13T01:02:10.400770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:10.509866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-22 42
100.0%

Interactions

2023-12-13T01:02:03.993901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:03.379732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:03.673981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:04.128300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:03.480880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:03.807584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:04.251462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:03.575734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:03.899971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:02:10.581932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적전화번호
자동차정비업체명1.0001.0001.0001.0001.0001.0001.0001.0001.000
자동차정비업체종류1.0001.0001.0001.0000.5270.2201.0000.9951.000
소재지도로명주소1.0001.0001.0001.0001.0001.0000.9830.8361.000
소재지지번주소1.0001.0001.0001.0001.0001.0000.9830.8361.000
위도1.0000.5271.0001.0001.0000.7720.9680.2831.000
경도1.0000.2201.0001.0000.7721.0000.9670.7121.000
사업등록일자1.0001.0000.9830.9830.9680.9671.0000.9841.000
면적1.0000.9950.8360.8360.2830.7120.9841.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T01:02:10.710038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적자동차정비업체종류
위도1.000-0.2410.1690.358
경도-0.2411.000-0.2710.212
면적0.169-0.2711.0000.837
자동차정비업체종류0.3580.2120.8371.000

Missing values

2023-12-13T01:02:04.395224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:02:04.665007image/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

자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태전화번호관리기관명관리기관전화번호데이터기준일자
0대광자동차공업사1전라남도 영광군 영광읍 단신길1길 22전라남도 영광군 영광읍 단주리 435-135.280812126.4966691981-11-152451.01061-351-2284전라남도 영광군청061-350-53622023-08-22
1옥당종합자동차정비공장1전라남도 영광군 영광읍 영대로 259전라남도 영광군 영광읍 무령리 10835.287355126.5132371998-01-061609.01061-351-4441전라남도 영광군청061-350-53622023-08-22
2형제부분정비업소99전라남도 영광군 영광읍 옥당로 178전라남도 영광군 영광읍 단주리 57535.277859126.5006341998-08-17522.01061-353-0005전라남도 영광군청061-350-53622023-08-22
3르노코리아자동차 서비스코너 영광점99전라남도 영광군 영광읍 천년로13길 45전라남도 영광군 영광읍 백학리 9435.276967126.5068281998-10-28670.01061-351-1479전라남도 영광군청061-350-53622023-08-22
4성산카센타99전라남도 영광군 홍농읍 홍농로 742전라남도 영광군 홍농읍 성산리 273-335.415794126.4385481998-11-161370.01061-356-5537전라남도 영광군청061-350-53622023-08-22
5영광자동차정비공업사1전라남도 영광군 영광읍 영대로 263전라남도 영광군 영광읍 무령리 114-135.287354126.5138871999-01-141101.01061-351-0990전라남도 영광군청061-350-53622023-08-22
6신진밧데리3급부분정비99전라남도 영광군 영광읍 대하길 101전라남도 영광군 영광읍 단주리 515-135.278088126.498921999-11-17178.01061-351-2788전라남도 영광군청061-350-53622023-08-22
7종합카센타99전라남도 영광군 영광읍 옥당로 210전라남도 영광군 영광읍 단주리 346-1435.280488126.4996631999-12-16129.01061-351-5494전라남도 영광군청061-350-53622023-08-22
8백수중앙카센타99전라남도 영광군 백수읍 백수로10길 42전라남도 영광군 백수읍 죽사리 694-335.280997126.4227221999-12-31281.01061-353-7181전라남도 영광군청061-350-53622023-08-22
9태영카센타99전라남도 영광군 영광읍 천년로11길 2전라남도 영광군 영광읍 신하리 831-735.272782126.5011282000-01-28197.01<NA>전라남도 영광군청061-350-53622023-08-22
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태전화번호관리기관명관리기관전화번호데이터기준일자
32그린종합카센타99전라남도 영광군 법성면 굴비로4길 21-11전라남도 영광군 법성면 법성리 1146-1035.354176126.4486192006-12-14649.01061-356-5182전라남도 영광군청061-350-53622023-08-22
33영광카센터99전라남도 영광군 영광읍 영대로 231전라남도 영광군 영광읍 월평리 135-535.287126.5103262007-11-01165.01061-352-8580전라남도 영광군청061-350-53622023-08-22
34영일카서비스99전라남도 영광군 영광읍 대하길2길 3전라남도 영광군 영광읍 신하리 826-135.274039126.4978372009-12-24229.01061-353-8283전라남도 영광군청061-350-53622023-08-22
35로얄카센터99전라남도 영광군 영광읍 천년로 1399전라남도 영광군 영광읍 신하리 7635.270607126.4971062014-01-09674.01061-353-4076전라남도 영광군청061-350-53622023-08-22
36은성카공업사99전라남도 영광군 염산면 칠산로2길 43전라남도 영광군 염산면 봉남리 118-535.21996126.3749512016-04-081339.01061-353-1020전라남도 영광군청061-350-53622023-08-22
37금호타이어 영광대리점99전라남도 영광군 영광읍 옥당로 284전라남도 영광군 영광읍 월평리 330-1335.285314126.5044422016-06-15657.01061-352-0025전라남도 영광군청061-350-53622023-08-22
38스피트메이트 영광점99전라남도 영광군 영광읍 대하길 62전라남도 영광군 영광읍 단주리 626-535.276557126.4966472016-09-05483.21061-351-2746전라남도 영광군청061-350-53622023-08-22
39한성카99전라남도 영광군 영광읍 옥당로 190전라남도 영광군 영광읍 단주리 553-535.278874126.5003082016-12-05330.01061-352-7200전라남도 영광군청061-350-53622023-08-22
40이철모터스99전라남도 영광군 영광읍 옥당로 288전라남도 영광군 영광읍 월평리 330-1435.285459126.5047272018-05-11476.01061-353-4569전라남도 영광군청061-350-53622023-08-22
41송하카센타99전라남도 영광군 영광읍 천년로13길 22전라남도 영광군 영광읍 남천리 113-1235.274953126.5070752019-02-21232.01061-353-6677전라남도 영광군청061-350-53622023-08-22