Overview

Dataset statistics

Number of variables12
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory104.1 B

Variable types

Text3
Categorical5
Numeric3
DateTime1

Dataset

Description광주광역시 동구 자동차 정비업체 인허가 현황(사업장명, 소재지, 전화번호 등)에 관한 정보를 지역주민에게 제공하고자 함
Author광주광역시 동구
URLhttps://www.data.go.kr/data/15048050/fileData.do

Alerts

영업상태 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
면적 is highly overall correlated with 자동차정비업체종류High correlation
자동차정비업체종류 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
자동차정비업체종류 is highly imbalanced (83.8%)Imbalance
자동차정비업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:02:40.030888
Analysis finished2023-12-12 18:02:41.850240
Duration1.82 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
2023-12-13T03:02:42.113693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length7.3809524
Min length5

Characters and Unicode

Total characters310
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
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 row일이자동차공업사
2nd row환영공업사
3rd row붕붕자동차공업사
4th row아성자동차공업사
5th row화랑자동차공업사
ValueCountFrequency (%)
산수점 2
 
4.3%
일이자동차공업사 1
 
2.2%
타이어프로산수점 1
 
2.2%
보리카매니아 1
 
2.2%
용산카서비스 1
 
2.2%
가온카클리닉 1
 
2.2%
에이스모터스 1
 
2.2%
우주카센타 1
 
2.2%
주)타이어박스 1
 
2.2%
르노코리아자동차서비스코너 1
 
2.2%
Other values (35) 35
76.1%
2023-12-13T03:02:42.596953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 21
 
6.8%
동 18
 
5.8%
스 15
 
4.8%
자 14
 
4.5%
차 14
 
4.5%
비 13
 
4.2%
공 12
 
3.9%
업 12
 
3.9%
사 12
 
3.9%
이 9
 
2.9%
Other values (82) 170
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
95.8%
Space Separator 4
 
1.3%
Open Punctuation 3
 
1.0%
Close Punctuation 3
 
1.0%
Decimal Number 2
 
0.6%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 21
 
7.1%
동 18
 
6.1%
스 15
 
5.1%
자 14
 
4.7%
차 14
 
4.7%
비 13
 
4.4%
공 12
 
4.0%
업 12
 
4.0%
사 12
 
4.0%
이 9
 
3.0%
Other values (76) 157
52.9%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
95.8%
Common 12
 
3.9%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 21
 
7.1%
동 18
 
6.1%
스 15
 
5.1%
자 14
 
4.7%
차 14
 
4.7%
비 13
 
4.4%
공 12
 
4.0%
업 12
 
4.0%
사 12
 
4.0%
이 9
 
3.0%
Other values (76) 157
52.9%
Common
ValueCountFrequency (%)
4
33.3%
( 3
25.0%
) 3
25.0%
3 1
 
8.3%
2 1
 
8.3%
Latin
ValueCountFrequency (%)
U 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
95.8%
ASCII 13
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 21
 
7.1%
동 18
 
6.1%
스 15
 
5.1%
자 14
 
4.7%
차 14
 
4.7%
비 13
 
4.4%
공 12
 
4.0%
업 12
 
4.0%
사 12
 
4.0%
이 9
 
3.0%
Other values (76) 157
52.9%
ASCII
ValueCountFrequency (%)
4
30.8%
( 3
23.1%
) 3
23.1%
U 1
 
7.7%
3 1
 
7.7%
2 1
 
7.7%

자동차정비업체종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
41 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 41
97.6%
1 1
 
2.4%

Length

2023-12-13T03:02:42.781608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:42.908985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
97.6%
1 1
 
2.4%

소재지도로명주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T03:02:43.187513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25.5
Mean length22.214286
Min length20

Characters and Unicode

Total characters933
Distinct characters60
Distinct categories6 ?
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 row광주광역시 동구 산수길35번길 36-2(계림동)
2nd row광주광역시 동구 경양로 366(산수동)
3rd row광주광역시 동구 필문대로 239(동명동)
4th row광주광역시 동구 지산로 45(지산동)
5th row광주광역시 동구 중흥로 198(계림동)
ValueCountFrequency (%)
광주광역시 42
25.0%
동구 42
25.0%
필문대로 7
 
4.2%
남문로 5
 
3.0%
무등로 4
 
2.4%
천변좌로 3
 
1.8%
중흥로 3
 
1.8%
지호로 2
 
1.2%
경양로 2
 
1.2%
독립로368번길 1
 
0.6%
Other values (57) 57
33.9%
2023-12-13T03:02:43.690354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
13.5%
동 88
 
9.4%
광 84
 
9.0%
( 42
 
4.5%
역 42
 
4.5%
시 42
 
4.5%
구 42
 
4.5%
주 42
 
4.5%
) 42
 
4.5%
로 40
 
4.3%
Other values (50) 343
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 576
61.7%
Decimal Number 139
 
14.9%
Space Separator 126
 
13.5%
Open Punctuation 42
 
4.5%
Close Punctuation 42
 
4.5%
Dash Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 88
15.3%
광 84
14.6%
역 42
 
7.3%
시 42
 
7.3%
구 42
 
7.3%
주 42
 
7.3%
로 40
 
6.9%
산 24
 
4.2%
문 14
 
2.4%
수 11
 
1.9%
Other values (36) 147
25.5%
Decimal Number
ValueCountFrequency (%)
1 27
19.4%
2 22
15.8%
3 21
15.1%
6 19
13.7%
4 14
10.1%
9 10
 
7.2%
5 10
 
7.2%
8 8
 
5.8%
7 5
 
3.6%
0 3
 
2.2%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 576
61.7%
Common 357
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 88
15.3%
광 84
14.6%
역 42
 
7.3%
시 42
 
7.3%
구 42
 
7.3%
주 42
 
7.3%
로 40
 
6.9%
산 24
 
4.2%
문 14
 
2.4%
수 11
 
1.9%
Other values (36) 147
25.5%
Common
ValueCountFrequency (%)
126
35.3%
( 42
 
11.8%
) 42
 
11.8%
1 27
 
7.6%
2 22
 
6.2%
3 21
 
5.9%
6 19
 
5.3%
4 14
 
3.9%
9 10
 
2.8%
5 10
 
2.8%
Other values (4) 24
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 576
61.7%
ASCII 357
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
35.3%
( 42
 
11.8%
) 42
 
11.8%
1 27
 
7.6%
2 22
 
6.2%
3 21
 
5.9%
6 19
 
5.3%
4 14
 
3.9%
9 10
 
2.8%
5 10
 
2.8%
Other values (4) 24
 
6.7%
Hangul
ValueCountFrequency (%)
동 88
15.3%
광 84
14.6%
역 42
 
7.3%
시 42
 
7.3%
구 42
 
7.3%
주 42
 
7.3%
로 40
 
6.9%
산 24
 
4.2%
문 14
 
2.4%
수 11
 
1.9%
Other values (36) 147
25.5%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.144656
Minimum35.101935
Maximum35.16323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T03:02:43.890682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.101935
5-th percentile35.119681
Q135.127202
median35.150678
Q335.157995
95-th percentile35.160645
Maximum35.16323
Range0.06129537
Interquartile range (IQR)0.030793188

Descriptive statistics

Standard deviation0.016288882
Coefficient of variation (CV)0.00046348106
Kurtosis-0.62813817
Mean35.144656
Median Absolute Deviation (MAD)0.008588725
Skewness-0.79035464
Sum1476.0756
Variance0.00026532769
MonotonicityNot monotonic
2023-12-13T03:02:44.095973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
35.15926313 1
 
2.4%
35.12060663 1
 
2.4%
35.15723922 1
 
2.4%
35.12701121 1
 
2.4%
35.15644031 1
 
2.4%
35.15882672 1
 
2.4%
35.15776551 1
 
2.4%
35.15509686 1
 
2.4%
35.16092072 1
 
2.4%
35.11963209 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
35.10193508 1
2.4%
35.11921315 1
2.4%
35.11963209 1
2.4%
35.12060663 1
2.4%
35.12261675 1
2.4%
35.1231444 1
2.4%
35.1242477 1
2.4%
35.12485524 1
2.4%
35.12604949 1
2.4%
35.1267816 1
2.4%
ValueCountFrequency (%)
35.16323045 1
2.4%
35.16092072 1
2.4%
35.16064808 1
2.4%
35.16058906 1
2.4%
35.16004748 1
2.4%
35.15951827 1
2.4%
35.15927115 1
2.4%
35.15926313 1
2.4%
35.15903173 1
2.4%
35.15882672 1
2.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.92883
Minimum126.9133
Maximum126.94058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T03:02:44.292055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.9133
5-th percentile126.91585
Q1126.92746
median126.93022
Q3126.93195
95-th percentile126.93715
Maximum126.94058
Range0.0272845
Interquartile range (IQR)0.004487725

Descriptive statistics

Standard deviation0.0064104426
Coefficient of variation (CV)5.0504227 × 10-5
Kurtosis0.54393225
Mean126.92883
Median Absolute Deviation (MAD)0.0020873
Skewness-0.94759388
Sum5331.011
Variance4.1093774 × 10-5
MonotonicityNot monotonic
2023-12-13T03:02:44.477407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
126.925493 1
 
2.4%
126.9405841 1
 
2.4%
126.9294065 1
 
2.4%
126.9295248 1
 
2.4%
126.9320237 1
 
2.4%
126.931328 1
 
2.4%
126.9356972 1
 
2.4%
126.9345359 1
 
2.4%
126.9299983 1
 
2.4%
126.9317208 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
126.9132996 1
2.4%
126.9152184 1
2.4%
126.9158392 1
2.4%
126.9160659 1
2.4%
126.9174054 1
2.4%
126.9185737 1
2.4%
126.9188552 1
2.4%
126.925493 1
2.4%
126.9264288 1
2.4%
126.9268101 1
2.4%
ValueCountFrequency (%)
126.9405841 1
2.4%
126.9380548 1
2.4%
126.9371612 1
2.4%
126.9368937 1
2.4%
126.9356972 1
2.4%
126.9345359 1
2.4%
126.9331542 1
2.4%
126.9328228 1
2.4%
126.9327754 1
2.4%
126.932259 1
2.4%

사업등록일자
Date

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1997-08-18 00:00:00
Maximum2020-04-29 00:00:00
2023-12-13T03:02:44.620147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:44.765802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean589.55333
Minimum74
Maximum10507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T03:02:44.911280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile83.255
Q1139.75
median198.15
Q3387.425
95-th percentile1972.6295
Maximum10507
Range10433
Interquartile range (IQR)247.675

Descriptive statistics

Standard deviation1628.4913
Coefficient of variation (CV)2.7622459
Kurtosis35.652223
Mean589.55333
Median Absolute Deviation (MAD)79.355
Skewness5.8114144
Sum24761.24
Variance2651983.8
MonotonicityNot monotonic
2023-12-13T03:02:45.068192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
148.4 2
 
4.8%
113.4 1
 
2.4%
2017.0 1
 
2.4%
149.0 1
 
2.4%
485.6 1
 
2.4%
198.3 1
 
2.4%
173.0 1
 
2.4%
99.5 1
 
2.4%
218.2 1
 
2.4%
2165.0 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
74.0 1
2.4%
77.0 1
2.4%
82.4 1
2.4%
99.5 1
2.4%
112.4 1
2.4%
113.4 1
2.4%
115.0 1
2.4%
122.59 1
2.4%
125.0 1
2.4%
129.0 1
2.4%
ValueCountFrequency (%)
10507.0 1
2.4%
2165.0 1
2.4%
2017.0 1
2.4%
1129.59 1
2.4%
620.0 1
2.4%
570.2 1
2.4%
537.0 1
2.4%
485.6 1
2.4%
469.4 1
2.4%
420.39 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

2023-12-13T03:02:45.234174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:45.338705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
100.0%

전화번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T03:02:45.567876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique42 ?
Unique (%)100.0%

Sample

1st row062-226-0862
2nd row062-232-6340
3rd row062-228-7633
4th row062-226-1853
5th row062-522-6254
ValueCountFrequency (%)
062-226-0862 1
 
2.4%
062-528-0013 1
 
2.4%
062-222-6914 1
 
2.4%
062-228-5109 1
 
2.4%
062-523-8297 1
 
2.4%
062-652-5073 1
 
2.4%
062-263-5999 1
 
2.4%
062-268-7788 1
 
2.4%
062-522-6625 1
 
2.4%
062-222-5344 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T03:02:45.952672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 129
25.6%
- 84
16.7%
6 66
13.1%
0 58
11.5%
5 34
 
6.7%
3 32
 
6.3%
8 24
 
4.8%
4 23
 
4.6%
7 20
 
4.0%
9 18
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 129
30.7%
6 66
15.7%
0 58
13.8%
5 34
 
8.1%
3 32
 
7.6%
8 24
 
5.7%
4 23
 
5.5%
7 20
 
4.8%
9 18
 
4.3%
1 16
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 129
25.6%
- 84
16.7%
6 66
13.1%
0 58
11.5%
5 34
 
6.7%
3 32
 
6.3%
8 24
 
4.8%
4 23
 
4.6%
7 20
 
4.0%
9 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 129
25.6%
- 84
16.7%
6 66
13.1%
0 58
11.5%
5 34
 
6.7%
3 32
 
6.3%
8 24
 
4.8%
4 23
 
4.6%
7 20
 
4.0%
9 18
 
3.6%

관리기관명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주광역시 동구청
2nd row광주광역시 동구청
3rd row광주광역시 동구청
4th row광주광역시 동구청
5th row광주광역시 동구청

Common Values

ValueCountFrequency (%)
광주광역시 동구청 42
100.0%

Length

2023-12-13T03:02:46.087880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:46.177214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 42
50.0%
동구청 42
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
062-608-2915
42 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row062-608-2915
2nd row062-608-2915
3rd row062-608-2915
4th row062-608-2915
5th row062-608-2915

Common Values

ValueCountFrequency (%)
062-608-2915 42
100.0%

Length

2023-12-13T03:02:46.279392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:46.373021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
062-608-2915 42
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-09-11
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 42
100.0%

Length

2023-12-13T03:02:46.468276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:46.592442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 42
100.0%

Interactions

2023-12-13T03:02:41.232223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:40.650649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:40.903328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:41.331350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:40.730682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:41.005858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:41.436324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:40.817026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:41.103132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:02:46.666013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체명자동차정비업체종류소재지도로명주소위도경도사업등록일자면적전화번호
자동차정비업체명1.0001.0001.0001.0001.0001.0001.0001.000
자동차정비업체종류1.0001.0001.0000.0000.6011.0000.8681.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.0001.0001.0000.3400.9710.9321.000
경도1.0000.6011.0000.3401.0000.9020.4521.000
사업등록일자1.0001.0001.0000.9710.9021.0001.0001.000
면적1.0000.8681.0000.9320.4521.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T03:02:46.769415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적자동차정비업체종류
위도1.000-0.589-0.3010.000
경도-0.5891.0000.2450.548
면적-0.3010.2451.0000.652
자동차정비업체종류0.0000.5480.6521.000

Missing values

2023-12-13T03:02:41.580084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:02:41.775553image/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

자동차정비업체명자동차정비업체종류소재지도로명주소위도경도사업등록일자면적영업상태전화번호관리기관명관리기관전화번호데이터기준일자
0일이자동차공업사3광주광역시 동구 산수길35번길 36-2(계림동)35.159263126.9254931997-08-18113.41062-226-0862광주광역시 동구청062-608-29152023-09-11
1환영공업사3광주광역시 동구 경양로 366(산수동)35.153911126.9291331997-08-18176.61062-232-6340광주광역시 동구청062-608-29152023-09-11
2붕붕자동차공업사3광주광역시 동구 필문대로 239(동명동)35.149553126.9297731997-09-18377.01062-228-7633광주광역시 동구청062-608-29152023-09-11
3아성자동차공업사3광주광역시 동구 지산로 45(지산동)35.147921126.9322591997-10-06307.01062-226-1853광주광역시 동구청062-608-29152023-09-11
4화랑자동차공업사3광주광역시 동구 중흥로 198(계림동)35.160648126.9152181997-10-13112.41062-522-6254광주광역시 동구청062-608-29152023-09-11
5현대자동차 산수점3광주광역시 동구 필문대로 112(산수동)35.160589126.9300841997-10-22570.21062-528-8572광주광역시 동구청062-608-29152023-09-11
6타이어프로 종원카센타3광주광역시 동구 남문로 639(소태동)35.127772126.9303531998-10-21235.01062-228-5454광주광역시 동구청062-608-29152023-09-11
7남일자동차공업사3광주광역시 동구 경양로 342(산수동)35.153708126.9264291998-11-10246.01062-228-0291광주광역시 동구청062-608-29152023-09-11
8도움부분정비공업사3광주광역시 동구 천변좌로 666(용산동)35.124855126.9296891998-12-0974.01062-234-9483광주광역시 동구청062-608-29152023-09-11
92U카모터스3광주광역시 동구 중흥로 229(계림동)35.159518126.9185741998-12-17198.01062-576-2323광주광역시 동구청062-608-29152023-09-11
자동차정비업체명자동차정비업체종류소재지도로명주소위도경도사업등록일자면적영업상태전화번호관리기관명관리기관전화번호데이터기준일자
32(유)한결자동차서비스1광주광역시 동구 소태길 76(소태동)35.120607126.9405842009-09-172017.01062-234-4940광주광역시 동구청062-608-29152023-09-11
33모아카서비스3광주광역시 동구 동명로67번길 14(지산동)35.152129126.9272522009-09-23129.01062-523-5026광주광역시 동구청062-608-29152023-09-11
34바별카튜닝3광주광역시 동구 필문대로 251(동명동)35.148647126.9291922009-11-24420.391062-366-4785광주광역시 동구청062-608-29152023-09-11
35지산카서비스3광주광역시 동구 필문대로 211(지산동)35.151804126.9310152010-07-231129.591062-225-3093광주광역시 동구청062-608-29152023-09-11
36고려자동차공업사3광주광역시 동구 중흥로 217(계림동)35.160047126.9174052010-08-20469.41062-228-2740광주광역시 동구청062-608-29152023-09-11
37카복지매장3광주광역시 동구 독립로368번길 5(계림동)35.16323126.9158392011-04-12125.01062-521-3171광주광역시 동구청062-608-29152023-09-11
38타이어메카3광주광역시 동구 남문로 582-1(소태동)35.123144126.9327752013-02-14142.01062-227-8979광주광역시 동구청062-608-29152023-09-11
39신동아3급자동차공업사3광주광역시 동구 지호로 24(지산동)35.14823126.931572014-01-21177.971062-227-7913광주광역시 동구청062-608-29152023-09-11
40용산카서비스3광주광역시 동구 화산로335번길 3(용산동)35.119213126.930472018-09-21198.61062-222-6914광주광역시 동구청062-608-29152023-09-11
41(유)동화운수3광주광역시 동구 남문로 333(월남동)35.101935126.9380552020-04-2910507.01062-234-0156광주광역시 동구청062-608-29152023-09-11