Overview

Dataset statistics

Number of variables18
Number of observations381
Missing cells2667
Missing cells (%)38.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.2 KiB
Average record size in memory156.3 B

Variable types

Text2
Categorical5
Unsupported7
Numeric3
DateTime1

Dataset

Description대구광역시_달서구_자동차정비업체
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15028204&dataSetDetailId=150282041f806ad4b0699_202003181654&provdMethod=FILE

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
자동차정비업체종류 is highly imbalanced (59.3%)Imbalance
소재지지번주소 has 381 (100.0%) missing valuesMissing
폐업일자 has 381 (100.0%) missing valuesMissing
휴업시작일자 has 381 (100.0%) missing valuesMissing
휴업종료일자 has 381 (100.0%) missing valuesMissing
운영시작시각 has 381 (100.0%) missing valuesMissing
운영종료시각 has 381 (100.0%) missing valuesMissing
전화번호 has 381 (100.0%) missing valuesMissing
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 14:04:52.124427
Analysis finished2024-03-13 14:04:54.001927
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자동차정비업체명
Text

Distinct378
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-13T23:04:54.171695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.3464567
Min length3

Characters and Unicode

Total characters2799
Distinct characters289
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique376 ?
Unique (%)98.7%

Sample

1st row블루핸즈 은성건설기계정비공업
2nd row크레인특장
3rd row성서종합정비
4th row원진1급검사정비
5th row성서자동차검사정비
ValueCountFrequency (%)
스피드메이트 6
 
1.3%
성서점 4
 
0.9%
오토오아시스 4
 
0.9%
월드카부분정비 3
 
0.7%
달서점 3
 
0.7%
서비스코너 3
 
0.7%
르노코리아자동차 3
 
0.7%
프로미카월드 3
 
0.7%
카포스 3
 
0.7%
모터스 3
 
0.7%
Other values (398) 412
92.2%
2024-03-13T23:04:54.636652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 176
 
6.3%
스 161
 
5.8%
비 161
 
5.8%
정 112
 
4.0%
대 73
 
2.6%
터 71
 
2.5%
서 67
 
2.4%
67
 
2.4%
모 62
 
2.2%
동 60
 
2.1%
Other values (279) 1789
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2612
93.3%
Space Separator 67
 
2.4%
Uppercase Letter 56
 
2.0%
Decimal Number 36
 
1.3%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Lowercase Letter 7
 
0.3%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 176
 
6.7%
스 161
 
6.2%
비 161
 
6.2%
정 112
 
4.3%
대 73
 
2.8%
터 71
 
2.7%
서 67
 
2.6%
모 62
 
2.4%
동 60
 
2.3%
점 60
 
2.3%
Other values (242) 1609
61.6%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.3%
R 7
12.5%
C 6
10.7%
O 6
10.7%
M 5
8.9%
I 4
 
7.1%
Y 3
 
5.4%
A 3
 
5.4%
H 2
 
3.6%
S 2
 
3.6%
Other values (8) 10
17.9%
Decimal Number
ValueCountFrequency (%)
1 17
47.2%
8 4
 
11.1%
2 3
 
8.3%
5 3
 
8.3%
3 2
 
5.6%
6 2
 
5.6%
0 2
 
5.6%
9 1
 
2.8%
4 1
 
2.8%
7 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
r 2
28.6%
a 2
28.6%
e 1
14.3%
i 1
14.3%
c 1
14.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2615
93.4%
Common 121
 
4.3%
Latin 63
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 176
 
6.7%
스 161
 
6.2%
비 161
 
6.2%
정 112
 
4.3%
대 73
 
2.8%
터 71
 
2.7%
서 67
 
2.6%
모 62
 
2.4%
동 60
 
2.3%
점 60
 
2.3%
Other values (243) 1612
61.6%
Latin
ValueCountFrequency (%)
T 8
12.7%
R 7
11.1%
C 6
 
9.5%
O 6
 
9.5%
M 5
 
7.9%
I 4
 
6.3%
Y 3
 
4.8%
A 3
 
4.8%
H 2
 
3.2%
S 2
 
3.2%
Other values (13) 17
27.0%
Common
ValueCountFrequency (%)
67
55.4%
1 17
 
14.0%
) 9
 
7.4%
( 9
 
7.4%
8 4
 
3.3%
2 3
 
2.5%
5 3
 
2.5%
3 2
 
1.7%
6 2
 
1.7%
0 2
 
1.7%
Other values (3) 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2612
93.3%
ASCII 184
 
6.6%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 176
 
6.7%
스 161
 
6.2%
비 161
 
6.2%
정 112
 
4.3%
대 73
 
2.8%
터 71
 
2.7%
서 67
 
2.6%
모 62
 
2.4%
동 60
 
2.3%
점 60
 
2.3%
Other values (242) 1609
61.6%
ASCII
ValueCountFrequency (%)
67
36.4%
1 17
 
9.2%
) 9
 
4.9%
( 9
 
4.9%
T 8
 
4.3%
R 7
 
3.8%
C 6
 
3.3%
O 6
 
3.3%
M 5
 
2.7%
I 4
 
2.2%
Other values (26) 46
25.0%
None
ValueCountFrequency (%)
㈜ 3
100.0%

자동차정비업체종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
321 
2
 
30
1
 
28
4
 
2

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 (%)
3 321
84.3%
2 30
 
7.9%
1 28
 
7.3%
4 2
 
0.5%

Length

2024-03-13T23:04:54.806700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:04:54.903488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 321
84.3%
2 30
 
7.9%
1 28
 
7.3%
4 2
 
0.5%

소재지도로명주소
Text

Distinct379
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-13T23:04:55.136862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length23.543307
Min length18

Characters and Unicode

Total characters8970
Distinct characters104
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

Unique377 ?
Unique (%)99.0%

Sample

1st row대구광역시 달서구 성서공단로 72-19(대천동)
2nd row대구광역시 달서구 달서대로95길 63(호산동)
3rd row대구광역시 달서구 문화회관9길 30(장동)
4th row대구광역시 달서구 와룡로9길 8(본동)
5th row대구광역시 달서구 성서공단로54길 8(월암동)
ValueCountFrequency (%)
대구광역시 381
24.8%
달서구 381
24.8%
와룡로 16
 
1.0%
성서공단로 15
 
1.0%
달서대로 14
 
0.9%
달구벌대로 12
 
0.8%
성서4차첨단로 11
 
0.7%
선원로 10
 
0.7%
성서공단로11길 10
 
0.7%
장기로 9
 
0.6%
Other values (510) 677
44.1%
2024-03-13T23:04:55.534368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1155
 
12.9%
구 797
 
8.9%
서 479
 
5.3%
대 456
 
5.1%
달 429
 
4.8%
동 404
 
4.5%
광 381
 
4.2%
역 381
 
4.2%
시 381
 
4.2%
( 377
 
4.2%
Other values (94) 3730
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5770
64.3%
Decimal Number 1234
 
13.8%
Space Separator 1155
 
12.9%
Open Punctuation 377
 
4.2%
Close Punctuation 377
 
4.2%
Dash Punctuation 45
 
0.5%
Other Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 797
13.8%
서 479
 
8.3%
대 456
 
7.9%
달 429
 
7.4%
동 404
 
7.0%
광 381
 
6.6%
역 381
 
6.6%
시 381
 
6.6%
로 342
 
5.9%
길 169
 
2.9%
Other values (79) 1551
26.9%
Decimal Number
ValueCountFrequency (%)
1 250
20.3%
2 150
12.2%
3 124
10.0%
4 113
9.2%
6 110
8.9%
5 104
8.4%
7 103
8.3%
8 97
 
7.9%
9 95
 
7.7%
0 88
 
7.1%
Space Separator
ValueCountFrequency (%)
1155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5770
64.3%
Common 3200
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 797
13.8%
서 479
 
8.3%
대 456
 
7.9%
달 429
 
7.4%
동 404
 
7.0%
광 381
 
6.6%
역 381
 
6.6%
시 381
 
6.6%
로 342
 
5.9%
길 169
 
2.9%
Other values (79) 1551
26.9%
Common
ValueCountFrequency (%)
1155
36.1%
( 377
 
11.8%
) 377
 
11.8%
1 250
 
7.8%
2 150
 
4.7%
3 124
 
3.9%
4 113
 
3.5%
6 110
 
3.4%
5 104
 
3.2%
7 103
 
3.2%
Other values (5) 337
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5770
64.3%
ASCII 3200
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1155
36.1%
( 377
 
11.8%
) 377
 
11.8%
1 250
 
7.8%
2 150
 
4.7%
3 124
 
3.9%
4 113
 
3.5%
6 110
 
3.4%
5 104
 
3.2%
7 103
 
3.2%
Other values (5) 337
 
10.5%
Hangul
ValueCountFrequency (%)
구 797
13.8%
서 479
 
8.3%
대 456
 
7.9%
달 429
 
7.4%
동 404
 
7.0%
광 381
 
6.6%
역 381
 
6.6%
시 381
 
6.6%
로 342
 
5.9%
길 169
 
2.9%
Other values (79) 1551
26.9%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

위도
Real number (ℝ)

Distinct379
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837196
Minimum35.806561
Maximum35.864017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-03-13T23:04:55.686648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.806561
5-th percentile35.810113
Q135.82943
median35.838852
Q335.848862
95-th percentile35.858521
Maximum35.864017
Range0.05745605
Interquartile range (IQR)0.01943201

Descriptive statistics

Standard deviation0.014538855
Coefficient of variation (CV)0.00040569176
Kurtosis-0.64962263
Mean35.837196
Median Absolute Deviation (MAD)0.00995876
Skewness-0.44753594
Sum13653.972
Variance0.0002113783
MonotonicityNot monotonic
2024-03-13T23:04:55.862691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8288038 2
 
0.5%
35.83416287 2
 
0.5%
35.82334751 1
 
0.3%
35.80787758 1
 
0.3%
35.83107404 1
 
0.3%
35.85352331 1
 
0.3%
35.82351814 1
 
0.3%
35.83632076 1
 
0.3%
35.80716271 1
 
0.3%
35.81017629 1
 
0.3%
Other values (369) 369
96.9%
ValueCountFrequency (%)
35.806561 1
0.3%
35.80700009 1
0.3%
35.80716271 1
0.3%
35.80767366 1
0.3%
35.80787758 1
0.3%
35.8082893 1
0.3%
35.80839989 1
0.3%
35.80874323 1
0.3%
35.80881804 1
0.3%
35.80894594 1
0.3%
ValueCountFrequency (%)
35.86401705 1
0.3%
35.86294972 1
0.3%
35.86126163 1
0.3%
35.86113849 1
0.3%
35.85948441 1
0.3%
35.8594521 1
0.3%
35.85941964 1
0.3%
35.85938335 1
0.3%
35.85932067 1
0.3%
35.85931146 1
0.3%

경도
Real number (ℝ)

Distinct379
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.52439
Minimum128.47644
Maximum128.57294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-03-13T23:04:56.008898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47644
5-th percentile128.48776
Q1128.51343
median128.52354
Q3128.53773
95-th percentile128.55604
Maximum128.57294
Range0.0965069
Interquartile range (IQR)0.0243074

Descriptive statistics

Standard deviation0.020847355
Coefficient of variation (CV)0.00016220544
Kurtosis-0.44941843
Mean128.52439
Median Absolute Deviation (MAD)0.0129452
Skewness-0.1534291
Sum48967.794
Variance0.00043461223
MonotonicityNot monotonic
2024-03-13T23:04:56.152434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5188768 2
 
0.5%
128.511385 2
 
0.5%
128.5216965 1
 
0.3%
128.5466574 1
 
0.3%
128.5514323 1
 
0.3%
128.4764354 1
 
0.3%
128.528017 1
 
0.3%
128.5292203 1
 
0.3%
128.5433108 1
 
0.3%
128.5264457 1
 
0.3%
Other values (369) 369
96.9%
ValueCountFrequency (%)
128.4764354 1
0.3%
128.4766895 1
0.3%
128.4844736 1
0.3%
128.4844787 1
0.3%
128.4852244 1
0.3%
128.4853323 1
0.3%
128.485562 1
0.3%
128.4860534 1
0.3%
128.4860612 1
0.3%
128.4860816 1
0.3%
ValueCountFrequency (%)
128.5729423 1
0.3%
128.571753 1
0.3%
128.5702436 1
0.3%
128.570118 1
0.3%
128.5697876 1
0.3%
128.5675892 1
0.3%
128.567526 1
0.3%
128.567257 1
0.3%
128.5660629 1
0.3%
128.5653857 1
0.3%

사업등록일자
Date

Distinct345
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1995-06-01 00:00:00
Maximum2024-01-10 00:00:00
2024-03-13T23:04:56.278959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:56.436929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct333
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.70892
Minimum28
Maximum6042.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-03-13T23:04:56.638745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile75.4
Q197
median134.68
Q3265.54
95-th percentile1489
Maximum6042.5
Range6014.5
Interquartile range (IQR)168.54

Descriptive statistics

Standard deviation619.08744
Coefficient of variation (CV)1.7307017
Kurtosis26.934211
Mean357.70892
Median Absolute Deviation (MAD)48.62
Skewness4.4510628
Sum136287.1
Variance383269.26
MonotonicityNot monotonic
2024-03-13T23:04:56.800057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.0 4
 
1.0%
112.0 3
 
0.8%
93.0 3
 
0.8%
83.0 3
 
0.8%
104.0 3
 
0.8%
77.0 3
 
0.8%
71.0 3
 
0.8%
72.0 3
 
0.8%
294.0 2
 
0.5%
78.0 2
 
0.5%
Other values (323) 352
92.4%
ValueCountFrequency (%)
28.0 1
 
0.3%
29.64 1
 
0.3%
70.0 2
0.5%
71.0 3
0.8%
71.07 1
 
0.3%
71.51 1
 
0.3%
71.6 1
 
0.3%
71.7 1
 
0.3%
72.0 3
0.8%
72.34 1
 
0.3%
ValueCountFrequency (%)
6042.5 1
0.3%
4244.2 1
0.3%
3660.0 1
0.3%
2916.0 1
0.3%
2915.87 1
0.3%
2658.0 1
0.3%
2655.0 1
0.3%
2642.0 1
0.3%
2616.54 1
0.3%
2382.4 1
0.3%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
381 

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 (%)
1 381
100.0%

Length

2024-03-13T23:04:56.944063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:04:57.048268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 381
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing381
Missing (%)100.0%
Memory size3.5 KiB

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
대구광역시 달서구
381 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구
2nd row대구광역시 달서구
3rd row대구광역시 달서구
4th row대구광역시 달서구
5th row대구광역시 달서구

Common Values

ValueCountFrequency (%)
대구광역시 달서구 381
100.0%

Length

2024-03-13T23:04:57.144639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:04:57.243569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 381
50.0%
달서구 381
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
053-667-3017
381 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-667-3017
2nd row053-667-3017
3rd row053-667-3017
4th row053-667-3017
5th row053-667-3017

Common Values

ValueCountFrequency (%)
053-667-3017 381
100.0%

Length

2024-03-13T23:04:57.367329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:04:57.477153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3017 381
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-02-14
381 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-14
2nd row2024-02-14
3rd row2024-02-14
4th row2024-02-14
5th row2024-02-14

Common Values

ValueCountFrequency (%)
2024-02-14 381
100.0%

Length

2024-03-13T23:04:57.592056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:04:57.703653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-14 381
100.0%

Interactions

2024-03-13T23:04:53.366615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:52.784002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:53.064443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:53.461594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:52.885984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:53.159991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:53.561201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:52.970311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:04:53.269077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T23:04:57.763212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체종류위도경도면적
자동차정비업체종류1.0000.2740.3340.872
위도0.2741.0000.6020.292
경도0.3340.6021.0000.000
면적0.8720.2920.0001.000
2024-03-13T23:04:57.867730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적자동차정비업체종류
위도1.000-0.0150.0250.165
경도-0.0151.000-0.2140.203
면적0.025-0.2141.0000.553
자동차정비업체종류0.1650.2030.5531.000

Missing values

2024-03-13T23:04:53.695367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:04:53.924890image/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

자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
0블루핸즈 은성건설기계정비공업1대구광역시 달서구 성서공단로 72-19(대천동)<NA>35.832879128.4906792000-08-051073.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
1크레인특장1대구광역시 달서구 달서대로95길 63(호산동)<NA>35.841711128.4844792002-09-161132.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
2성서종합정비1대구광역시 달서구 문화회관9길 30(장동)<NA>35.839423128.5227432003-02-252616.541<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
3원진1급검사정비1대구광역시 달서구 와룡로9길 8(본동)<NA>35.836839128.5362742003-11-07720.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
4성서자동차검사정비1대구광역시 달서구 성서공단로54길 8(월암동)<NA>35.834163128.5113852004-05-171441.361<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
5남대구서비스자동차검사소1대구광역시 달서구 성서공단로61길 12(장동)<NA>35.837194128.5171272004-12-042916.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
6호림자동차검사정비1대구광역시 달서구 성서공단로11길 9, 107동(호림동)<NA>35.835946128.4878532005-07-281489.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
7성서대천정비공장1대구광역시 달서구 성서공단로 47(호림동)<NA>35.835325128.487762005-11-081190.61<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
8신화자동차종합정비1대구광역시 달서구 문화회관9길 79(장동)<NA>35.838461128.5199582005-12-262005.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
9남대구터미널종합검사정비1대구광역시 달서구 성서공단로 346(월성동)<NA>35.836342128.5203212006-03-302642.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
371삼성헤드3대구광역시 달서구 학산로7길 93-15(본동)<NA>35.836426128.5297742021-01-22145.541<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
372초이스모터스3대구광역시 달서구 성서공단로11길 81(호산동)<NA>35.842472128.4878712021-07-19123.751<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
373현대카정비센터3대구광역시 달서구 성당로 129(성당동)<NA>35.846833128.5660632021-07-28168.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
374HG모터스3대구광역시 달서구 달구벌대로264길 24(이곡동)<NA>35.849738128.5113412021-09-16203.51<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
375태영모터스 볼보 서대구서비스센터3대구광역시 달서구 와룡로 105(본리동)<NA>35.84212128.5364852022-03-10663.51<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
376한라카냉동특장3대구광역시 달서구 성서공단로22안길 15(월암동)<NA>35.834461128.496192022-04-281002.01<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
377구상전문정비3대구광역시 달서구 성서4차첨단로 184(월암동)<NA>35.829526128.5187272022-07-154244.21<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
378아모르모터스3대구광역시 달서구 달서대로95길 27(호산동)<NA>35.841784128.4885642022-09-22694.31<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
379무성카서비스3대구광역시 달서구 월배로5길 7(유천동)<NA>35.812421128.5166462023-06-1672.871<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14
380유피시리즈3대구광역시 달서구 문화회관1길 21(장기동)<NA>35.848846128.5193632023-07-26294.31<NA><NA><NA><NA><NA><NA>대구광역시 달서구053-667-30172024-02-14