Overview

Dataset statistics

Number of variables18
Number of observations175
Missing cells698
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.1 KiB
Average record size in memory152.8 B

Variable types

Text4
Categorical4
Numeric3
DateTime4
Unsupported3

Dataset

Description대구광역시_달성군_자동차정비업체
Author대구광역시 달성군
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15028204&dataSetDetailId=150282041abf15e9db804&provdMethod=FILE

Alerts

영업상태 has constant value ""Constant
운영시작시각 has constant value ""Constant
운영종료시각 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 위도High correlation
소재지도로명주소 has 3 (1.7%) missing valuesMissing
소재지지번주소 has 140 (80.0%) missing valuesMissing
폐업일자 has 175 (100.0%) missing valuesMissing
휴업시작일자 has 175 (100.0%) missing valuesMissing
휴업종료일자 has 175 (100.0%) missing valuesMissing
전화번호 has 30 (17.1%) missing valuesMissing
자동차정비업체명 has unique valuesUnique
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-20 17:17:47.787779
Analysis finished2024-04-20 17:17:51.939671
Duration4.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자동차정비업체명
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-21T02:17:52.139491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.5428571
Min length3

Characters and Unicode

Total characters1320
Distinct characters217
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)100.0%

Sample

1st row현풍자동차정비공장
2nd row논공1급자동차정비공장
3rd row카라이프
4th row형제자동차부분정비공업사
5th row부흥부분정비공업사
ValueCountFrequency (%)
현풍점 8
 
3.8%
다사점 4
 
1.9%
화원점 4
 
1.9%
스피드메이트 4
 
1.9%
motors 3
 
1.4%
애니카랜드 3
 
1.4%
티스테이션 2
 
0.9%
부분정비 2
 
0.9%
현대자동차 2
 
0.9%
기아오토큐 2
 
0.9%
Other values (177) 177
83.9%
2024-04-21T02:17:52.681974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 72
 
5.5%
카 70
 
5.3%
스 68
 
5.2%
정 47
 
3.6%
36
 
2.7%
자 31
 
2.3%
터 31
 
2.3%
동 28
 
2.1%
대 28
 
2.1%
모 28
 
2.1%
Other values (207) 881
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1204
91.2%
Uppercase Letter 56
 
4.2%
Space Separator 36
 
2.7%
Decimal Number 11
 
0.8%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 72
 
6.0%
카 70
 
5.8%
스 68
 
5.6%
정 47
 
3.9%
자 31
 
2.6%
터 31
 
2.6%
동 28
 
2.3%
대 28
 
2.3%
모 28
 
2.3%
이 28
 
2.3%
Other values (184) 773
64.2%
Uppercase Letter
ValueCountFrequency (%)
O 12
21.4%
S 8
14.3%
M 7
12.5%
R 6
10.7%
T 6
10.7%
C 3
 
5.4%
N 2
 
3.6%
D 2
 
3.6%
Y 2
 
3.6%
A 2
 
3.6%
Other values (4) 6
10.7%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
3 2
 
18.2%
8 1
 
9.1%
6 1
 
9.1%
2 1
 
9.1%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1204
91.2%
Common 60
 
4.5%
Latin 56
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 72
 
6.0%
카 70
 
5.8%
스 68
 
5.6%
정 47
 
3.9%
자 31
 
2.6%
터 31
 
2.6%
동 28
 
2.3%
대 28
 
2.3%
모 28
 
2.3%
이 28
 
2.3%
Other values (184) 773
64.2%
Latin
ValueCountFrequency (%)
O 12
21.4%
S 8
14.3%
M 7
12.5%
R 6
10.7%
T 6
10.7%
C 3
 
5.4%
N 2
 
3.6%
D 2
 
3.6%
Y 2
 
3.6%
A 2
 
3.6%
Other values (4) 6
10.7%
Common
ValueCountFrequency (%)
36
60.0%
1 6
 
10.0%
( 6
 
10.0%
) 6
 
10.0%
3 2
 
3.3%
8 1
 
1.7%
6 1
 
1.7%
2 1
 
1.7%
- 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1204
91.2%
ASCII 116
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 72
 
6.0%
카 70
 
5.8%
스 68
 
5.6%
정 47
 
3.9%
자 31
 
2.6%
터 31
 
2.6%
동 28
 
2.3%
대 28
 
2.3%
모 28
 
2.3%
이 28
 
2.3%
Other values (184) 773
64.2%
ASCII
ValueCountFrequency (%)
36
31.0%
O 12
 
10.3%
S 8
 
6.9%
M 7
 
6.0%
1 6
 
5.2%
R 6
 
5.2%
T 6
 
5.2%
( 6
 
5.2%
) 6
 
5.2%
C 3
 
2.6%
Other values (13) 20
17.2%

자동차정비업체종류
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
122 
1
47 
2
 
6

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 (%)
3 122
69.7%
1 47
 
26.9%
2 6
 
3.4%

Length

2024-04-21T02:17:52.852102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:17:52.983704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 122
69.7%
1 47
 
26.9%
2 6
 
3.4%

소재지도로명주소
Text

MISSING 

Distinct171
Distinct (%)99.4%
Missing3
Missing (%)1.7%
Memory size1.5 KiB
2024-04-21T02:17:53.376713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length22.622093
Min length19

Characters and Unicode

Total characters3891
Distinct characters97
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

Unique170 ?
Unique (%)98.8%

Sample

1st row대구광역시 달성군 현풍읍 현풍서로 5
2nd row대구광역시 달성군 논공읍 논공로 693
3rd row대구광역시 달성군 논공읍 논공중앙로 156
4th row대구광역시 달성군 화원읍 성화로 115
5th row대구광역시 달성군 화원읍 사문진로 428
ValueCountFrequency (%)
대구광역시 172
19.7%
달성군 172
19.7%
화원읍 42
 
4.8%
다사읍 41
 
4.7%
논공읍 31
 
3.6%
현풍읍 30
 
3.4%
비슬로 21
 
2.4%
옥포읍 9
 
1.0%
명천로 8
 
0.9%
논공로 7
 
0.8%
Other values (225) 339
38.9%
2024-04-21T02:17:53.978366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
18.0%
성 183
 
4.7%
구 183
 
4.7%
대 178
 
4.6%
달 178
 
4.6%
역 175
 
4.5%
군 173
 
4.4%
광 172
 
4.4%
시 172
 
4.4%
읍 158
 
4.1%
Other values (87) 1619
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2584
66.4%
Space Separator 700
 
18.0%
Decimal Number 566
 
14.5%
Dash Punctuation 29
 
0.7%
Other Punctuation 11
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 183
 
7.1%
구 183
 
7.1%
대 178
 
6.9%
달 178
 
6.9%
역 175
 
6.8%
군 173
 
6.7%
광 172
 
6.7%
시 172
 
6.7%
읍 158
 
6.1%
로 153
 
5.9%
Other values (73) 859
33.2%
Decimal Number
ValueCountFrequency (%)
1 101
17.8%
2 93
16.4%
3 60
10.6%
4 57
10.1%
6 54
9.5%
7 52
9.2%
5 48
8.5%
8 37
 
6.5%
0 35
 
6.2%
9 29
 
5.1%
Space Separator
ValueCountFrequency (%)
700
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2584
66.4%
Common 1306
33.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 183
 
7.1%
구 183
 
7.1%
대 178
 
6.9%
달 178
 
6.9%
역 175
 
6.8%
군 173
 
6.7%
광 172
 
6.7%
시 172
 
6.7%
읍 158
 
6.1%
로 153
 
5.9%
Other values (73) 859
33.2%
Common
ValueCountFrequency (%)
700
53.6%
1 101
 
7.7%
2 93
 
7.1%
3 60
 
4.6%
4 57
 
4.4%
6 54
 
4.1%
7 52
 
4.0%
5 48
 
3.7%
8 37
 
2.8%
0 35
 
2.7%
Other values (3) 69
 
5.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2584
66.4%
ASCII 1307
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
53.6%
1 101
 
7.7%
2 93
 
7.1%
3 60
 
4.6%
4 57
 
4.4%
6 54
 
4.1%
7 52
 
4.0%
5 48
 
3.7%
8 37
 
2.8%
0 35
 
2.7%
Other values (4) 70
 
5.4%
Hangul
ValueCountFrequency (%)
성 183
 
7.1%
구 183
 
7.1%
대 178
 
6.9%
달 178
 
6.9%
역 175
 
6.8%
군 173
 
6.7%
광 172
 
6.7%
시 172
 
6.7%
읍 158
 
6.1%
로 153
 
5.9%
Other values (73) 859
33.2%

소재지지번주소
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing140
Missing (%)80.0%
Memory size1.5 KiB
2024-04-21T02:17:54.235110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length22.657143
Min length20

Characters and Unicode

Total characters793
Distinct characters58
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

Unique35 ?
Unique (%)100.0%

Sample

1st row대구광역시 달성군 다사읍 매곡리 306-8
2nd row대구광역시 달성군 현풍읍 원교리 131-2
3rd row대구광역시 달성군 논공읍 북리 824-6
4th row대구광역시 달성군 논공읍 남리 137-8
5th row대구광역시 달성군 논공읍 금포리 산30
ValueCountFrequency (%)
대구광역시 35
20.5%
달성군 35
20.5%
화원읍 11
 
6.4%
논공읍 9
 
5.3%
다사읍 8
 
4.7%
남리 4
 
2.3%
북리 4
 
2.3%
매곡리 3
 
1.8%
설화리 3
 
1.8%
서재리 3
 
1.8%
Other values (51) 56
32.7%
2024-04-21T02:17:54.639743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
17.2%
리 39
 
4.9%
성 38
 
4.8%
구 36
 
4.5%
대 35
 
4.4%
광 35
 
4.4%
역 35
 
4.4%
시 35
 
4.4%
달 35
 
4.4%
군 35
 
4.4%
Other values (48) 334
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
62.0%
Decimal Number 140
 
17.7%
Space Separator 136
 
17.2%
Dash Punctuation 25
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 39
 
7.9%
성 38
 
7.7%
구 36
 
7.3%
대 35
 
7.1%
광 35
 
7.1%
역 35
 
7.1%
시 35
 
7.1%
달 35
 
7.1%
군 35
 
7.1%
읍 33
 
6.7%
Other values (36) 136
27.6%
Decimal Number
ValueCountFrequency (%)
1 27
19.3%
3 22
15.7%
5 21
15.0%
2 17
12.1%
8 11
7.9%
4 11
7.9%
7 9
 
6.4%
6 9
 
6.4%
0 7
 
5.0%
9 6
 
4.3%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
62.0%
Common 301
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 39
 
7.9%
성 38
 
7.7%
구 36
 
7.3%
대 35
 
7.1%
광 35
 
7.1%
역 35
 
7.1%
시 35
 
7.1%
달 35
 
7.1%
군 35
 
7.1%
읍 33
 
6.7%
Other values (36) 136
27.6%
Common
ValueCountFrequency (%)
136
45.2%
1 27
 
9.0%
- 25
 
8.3%
3 22
 
7.3%
5 21
 
7.0%
2 17
 
5.6%
8 11
 
3.7%
4 11
 
3.7%
7 9
 
3.0%
6 9
 
3.0%
Other values (2) 13
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
62.0%
ASCII 301
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
45.2%
1 27
 
9.0%
- 25
 
8.3%
3 22
 
7.3%
5 21
 
7.0%
2 17
 
5.6%
8 11
 
3.7%
4 11
 
3.7%
7 9
 
3.0%
6 9
 
3.0%
Other values (2) 13
 
4.3%
Hangul
ValueCountFrequency (%)
리 39
 
7.9%
성 38
 
7.7%
구 36
 
7.3%
대 35
 
7.1%
광 35
 
7.1%
역 35
 
7.1%
시 35
 
7.1%
달 35
 
7.1%
군 35
 
7.1%
읍 33
 
6.7%
Other values (36) 136
27.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.781672
Minimum35.640462
Maximum35.899737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T02:17:54.810064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.640462
5-th percentile35.665477
Q135.726277
median35.796896
Q335.8635
95-th percentile35.877571
Maximum35.899737
Range0.25927428
Interquartile range (IQR)0.13722289

Descriptive statistics

Standard deviation0.071593681
Coefficient of variation (CV)0.0020008478
Kurtosis-1.1590004
Mean35.781672
Median Absolute Deviation (MAD)0.06873248
Skewness-0.15245175
Sum6261.7926
Variance0.0051256551
MonotonicityNot monotonic
2024-04-21T02:17:54.998888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.69680308 2
 
1.1%
35.69422995 1
 
0.6%
35.6602174 1
 
0.6%
35.87770717 1
 
0.6%
35.65699399 1
 
0.6%
35.70113681 1
 
0.6%
35.77680578 1
 
0.6%
35.87862615 1
 
0.6%
35.6404624 1
 
0.6%
35.87064432 1
 
0.6%
Other values (164) 164
93.7%
ValueCountFrequency (%)
35.6404624 1
0.6%
35.64140636 1
0.6%
35.64484229 1
0.6%
35.65699399 1
0.6%
35.65804421 1
0.6%
35.6602174 1
0.6%
35.664263 1
0.6%
35.66503715 1
0.6%
35.66513811 1
0.6%
35.66562203 1
0.6%
ValueCountFrequency (%)
35.89973668 1
0.6%
35.88034936 1
0.6%
35.87928744 1
0.6%
35.87864026 1
0.6%
35.87862615 1
0.6%
35.87790686 1
0.6%
35.87770717 1
0.6%
35.87768559 1
0.6%
35.8776422 1
0.6%
35.87754002 1
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.46283
Minimum128.39706
Maximum128.64055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T02:17:55.178370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.39706
5-th percentile128.41557
Q1128.44057
median128.46096
Q3128.48741
95-th percentile128.50312
Maximum128.64055
Range0.2434809
Interquartile range (IQR)0.04683795

Descriptive statistics

Standard deviation0.033501509
Coefficient of variation (CV)0.00026078757
Kurtosis6.5132189
Mean128.46283
Median Absolute Deviation (MAD)0.0218933
Skewness1.3783571
Sum22480.995
Variance0.0011223511
MonotonicityNot monotonic
2024-04-21T02:17:55.360523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4396534 2
 
1.1%
128.4383575 1
 
0.6%
128.4141818 1
 
0.6%
128.4782202 1
 
0.6%
128.4157886 1
 
0.6%
128.4401413 1
 
0.6%
128.4274965 1
 
0.6%
128.4716689 1
 
0.6%
128.4211243 1
 
0.6%
128.4774963 1
 
0.6%
Other values (164) 164
93.7%
ValueCountFrequency (%)
128.3970644 1
0.6%
128.3978929 1
0.6%
128.3984974 1
0.6%
128.3993127 1
0.6%
128.4015457 1
0.6%
128.4121721 1
0.6%
128.4141818 1
0.6%
128.4144467 1
0.6%
128.4150706 1
0.6%
128.4157886 1
0.6%
ValueCountFrequency (%)
128.6405453 1
0.6%
128.6309464 1
0.6%
128.510059 1
0.6%
128.509816 1
0.6%
128.5083747 1
0.6%
128.5077051 1
0.6%
128.5055558 1
0.6%
128.505379 1
0.6%
128.5037706 1
0.6%
128.5028377 1
0.6%

사업등록일자
Date

Distinct168
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1995-05-17 00:00:00
Maximum2024-03-13 00:00:00
2024-04-21T02:17:55.556405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:55.741049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면적
Real number (ℝ)

Distinct173
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean576.32434
Minimum73.24
Maximum4894.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-21T02:17:55.892372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.24
5-th percentile84.196
Q1130.75
median253
Q3545.2
95-th percentile2187.71
Maximum4894.1
Range4820.86
Interquartile range (IQR)414.45

Descriptive statistics

Standard deviation884.98145
Coefficient of variation (CV)1.5355615
Kurtosis9.9692558
Mean576.32434
Median Absolute Deviation (MAD)143
Skewness3.0736847
Sum100856.76
Variance783192.16
MonotonicityNot monotonic
2024-04-21T02:17:56.057190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.0 2
 
1.1%
395.0 2
 
1.1%
1364.0 1
 
0.6%
3448.0 1
 
0.6%
76.62 1
 
0.6%
220.0 1
 
0.6%
123.56 1
 
0.6%
225.5 1
 
0.6%
537.6 1
 
0.6%
1931.3 1
 
0.6%
Other values (163) 163
93.1%
ValueCountFrequency (%)
73.24 1
0.6%
75.9 1
0.6%
76.62 1
0.6%
78.84 1
0.6%
79.7 1
0.6%
81.64 1
0.6%
81.81 1
0.6%
83.43 1
0.6%
84.0 1
0.6%
84.28 1
0.6%
ValueCountFrequency (%)
4894.1 1
0.6%
4687.0 1
0.6%
4460.0 1
0.6%
4111.0 1
0.6%
3996.0 1
0.6%
3448.0 1
0.6%
3065.0 1
0.6%
2991.0 1
0.6%
2786.0 1
0.6%
1931.3 1
0.6%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
175 

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 (%)
1 175
100.0%

Length

2024-04-21T02:17:56.217246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:17:56.344272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 175
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing175
Missing (%)100.0%
Memory size1.7 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing175
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing175
Missing (%)100.0%
Memory size1.7 KiB

운영시작시각
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2024-04-21 09:00:00
Maximum2024-04-21 09:00:00
2024-04-21T02:17:56.450885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:56.578550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

운영종료시각
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2024-04-21 18:00:00
Maximum2024-04-21 18:00:00
2024-04-21T02:17:56.976362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:57.094054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

전화번호
Text

MISSING 

Distinct145
Distinct (%)100.0%
Missing30
Missing (%)17.1%
Memory size1.5 KiB
2024-04-21T02:17:57.346928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.993103
Min length9

Characters and Unicode

Total characters1739
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

Unique145 ?
Unique (%)100.0%

Sample

1st row053-611-0303
2nd row053-614-1220
3rd row053-615-5227
4th row053-636-2574
5th row053-636-5199
ValueCountFrequency (%)
053-615-7900 1
 
0.7%
053-586-8582 1
 
0.7%
053-615-2589 1
 
0.7%
053-636-1119 1
 
0.7%
053-639-6525 1
 
0.7%
053-631-0365 1
 
0.7%
053-617-1181 1
 
0.7%
053-611-5882 1
 
0.7%
053-584-4445 1
 
0.7%
053-629-6665 1
 
0.7%
Other values (135) 135
93.1%
2024-04-21T02:17:57.866050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 289
16.6%
5 265
15.2%
0 238
13.7%
3 235
13.5%
6 172
9.9%
1 145
8.3%
8 100
 
5.8%
7 83
 
4.8%
4 83
 
4.8%
2 66
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1450
83.4%
Dash Punctuation 289
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 265
18.3%
0 238
16.4%
3 235
16.2%
6 172
11.9%
1 145
10.0%
8 100
 
6.9%
7 83
 
5.7%
4 83
 
5.7%
2 66
 
4.6%
9 63
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 289
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1739
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 289
16.6%
5 265
15.2%
0 238
13.7%
3 235
13.5%
6 172
9.9%
1 145
8.3%
8 100
 
5.8%
7 83
 
4.8%
4 83
 
4.8%
2 66
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 289
16.6%
5 265
15.2%
0 238
13.7%
3 235
13.5%
6 172
9.9%
1 145
8.3%
8 100
 
5.8%
7 83
 
4.8%
4 83
 
4.8%
2 66
 
3.8%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시 달성군 교통과
175 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달성군 교통과
2nd row대구광역시 달성군 교통과
3rd row대구광역시 달성군 교통과
4th row대구광역시 달성군 교통과
5th row대구광역시 달성군 교통과

Common Values

ValueCountFrequency (%)
대구광역시 달성군 교통과 175
100.0%

Length

2024-04-21T02:17:58.037236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:17:58.152012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 175
33.3%
달성군 175
33.3%
교통과 175
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
053-668-3265
175 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-668-3265
2nd row053-668-3265
3rd row053-668-3265
4th row053-668-3265
5th row053-668-3265

Common Values

ValueCountFrequency (%)
053-668-3265 175
100.0%

Length

2024-04-21T02:17:58.287596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:17:58.401125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-668-3265 175
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2024-04-16 00:00:00
Maximum2024-04-16 00:00:00
2024-04-21T02:17:58.500936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:58.621118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T02:17:50.891849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:50.155370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:50.585293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:51.063769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:50.332569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:50.677315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:51.221106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:50.450150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:17:50.762587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T02:17:58.707225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체종류소재지지번주소위도경도면적
자동차정비업체종류1.0001.0000.4280.2680.673
소재지지번주소1.0001.0001.0001.0001.000
위도0.4281.0001.0000.7360.491
경도0.2681.0000.7361.0000.481
면적0.6731.0000.4910.4811.000
2024-04-21T02:17:58.828299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적자동차정비업체종류
위도1.0000.5220.0420.205
경도0.5221.000-0.2200.106
면적0.042-0.2201.0000.377
자동차정비업체종류0.2050.1060.3771.000

Missing values

2024-04-21T02:17:51.403753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T02:17:51.698423image/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.
2024-04-21T02:17:51.877683image/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
0현풍자동차정비공장1대구광역시 달성군 현풍읍 현풍서로 5<NA>35.69423128.4383571995-05-171364.01<NA><NA><NA>09:0018:00053-611-0303대구광역시 달성군 교통과053-668-32652024-04-16
1논공1급자동차정비공장1대구광역시 달성군 논공읍 논공로 693<NA>35.731091128.4517921995-06-241319.01<NA><NA><NA>09:0018:00053-614-1220대구광역시 달성군 교통과053-668-32652024-04-16
2카라이프1대구광역시 달성군 논공읍 논공중앙로 156<NA>35.729167128.4526771997-06-1988.01<NA><NA><NA>09:0018:00053-615-5227대구광역시 달성군 교통과053-668-32652024-04-16
3형제자동차부분정비공업사1대구광역시 달성군 화원읍 성화로 115<NA>35.796896128.4822921997-07-2488.01<NA><NA><NA>09:0018:00053-636-2574대구광역시 달성군 교통과053-668-32652024-04-16
4부흥부분정비공업사1대구광역시 달성군 화원읍 사문진로 428<NA>35.804315128.4954261997-08-2975.91<NA><NA><NA>09:0018:00053-636-5199대구광역시 달성군 교통과053-668-32652024-04-16
5동서부분정비공업사1대구광역시 달성군 다사읍 왕선로 55대구광역시 달성군 다사읍 매곡리 306-835.864541128.4639561998-07-02109.11<NA><NA><NA>09:0018:00053-588-5429대구광역시 달성군 교통과053-668-32652024-04-16
6한국지엠달성바로서비스1대구광역시 달성군 논공읍 논공로 728, 외 1필지<NA>35.730104128.4481281998-08-21110.71<NA><NA><NA>09:0018:00053-615-8572대구광역시 달성군 교통과053-668-32652024-04-16
7유모터샵1대구광역시 달성군 현풍읍 비슬로 612대구광역시 달성군 현풍읍 원교리 131-235.692522128.4420051998-11-2181.641<NA><NA><NA>09:0018:00053-611-1188대구광역시 달성군 교통과053-668-32652024-04-16
8하나로자동차종합써비스1대구광역시 달성군 논공읍 논공로 753-4대구광역시 달성군 논공읍 북리 824-635.72872128.445551998-12-01130.41<NA><NA><NA>09:0018:00053-615-7744대구광역시 달성군 교통과053-668-32652024-04-16
9드림모터스1대구광역시 달성군 논공읍 논공중앙로 88-5<NA>35.725793128.4462131998-12-18153.71<NA><NA><NA>09:0018:00053-615-5050대구광역시 달성군 교통과053-668-32652024-04-16
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
165웅도중고타이어3대구광역시 달성군 논공읍 논공로29길 3<NA>35.73031128.4485052022-02-23251.01<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
16686모토(MOTO)3대구광역시 달성군 현풍읍 현풍서로 114-2<NA>35.694271128.4268552022-02-231334.01<NA><NA><NA>09:0018:00053-962-8886대구광역시 달성군 교통과053-668-32652024-04-16
167이프러개러지3대구광역시 달성군 다사읍 세천북로 45<NA>35.877686128.4770242022-03-0791.961<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
168디지테크웍스3대구광역시 달성군 옥포읍 비슬로447길 18<NA>35.791065128.4662382022-03-07550.21<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
169MANIAC3대구광역시 달성군 다사읍 세천북로7길 16<NA>35.876433128.4770162022-03-07356.01<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
170OH MOTORS3대구광역시 달성군 논공읍 비슬로 1773-6<NA>35.774156128.4196632022-09-20395.01<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
171남산모터스3대구광역시 달성군 다사읍 세천남로 34<NA>35.871401128.4776392023-01-17161.11<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
172바른카3대구광역시 달성군 현풍읍 현풍서로 28<NA>35.69504128.4360972023-02-10197.251<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
173가온월드모터스3대구광역시 달성군 다사읍 대실역남로4길 30-28<NA>35.849266128.4679742023-03-29278.31<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16
174성우자동차정비2대구광역시 달성군 현풍읍 논공로 33<NA>35.709983128.4402442024-03-131039.01<NA><NA><NA>09:0018:00<NA>대구광역시 달성군 교통과053-668-32652024-04-16