Overview

Dataset statistics

Number of variables32
Number of observations103
Missing cells922
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.9 KiB
Average record size in memory277.3 B

Variable types

Numeric10
Categorical10
Unsupported7
Text4
DateTime1

Dataset

Description22년11월_6270000_대구광역시_02_03_03_P_동물용의료용구판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097100&dataSetDetailId=DDI_0000097116&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (62.4%)Imbalance
영업상태명 is highly imbalanced (62.4%)Imbalance
상세영업상태코드 is highly imbalanced (62.4%)Imbalance
상세영업상태명 is highly imbalanced (62.4%)Imbalance
인허가취소일자 has 103 (100.0%) missing valuesMissing
폐업일자 has 91 (88.3%) missing valuesMissing
휴업시작일자 has 103 (100.0%) missing valuesMissing
휴업종료일자 has 103 (100.0%) missing valuesMissing
재개업일자 has 103 (100.0%) missing valuesMissing
소재지전화 has 26 (25.2%) missing valuesMissing
소재지면적 has 82 (79.6%) missing valuesMissing
소재지우편번호 has 103 (100.0%) missing valuesMissing
소재지전체주소 has 2 (1.9%) missing valuesMissing
업태구분명 has 103 (100.0%) missing valuesMissing
상세업무구분명 has 103 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세업무구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:31:38.523587
Analysis finished2023-12-10 18:31:39.537856
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:39.798794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2023-12-11T03:31:40.206014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
동물용의료용구판매업
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 103
100.0%

Length

2023-12-11T03:31:40.433446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:40.607497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 103
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
02_03_03_P
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_03_P
2nd row02_03_03_P
3rd row02_03_03_P
4th row02_03_03_P
5th row02_03_03_P

Common Values

ValueCountFrequency (%)
02_03_03_P 103
100.0%

Length

2023-12-11T03:31:40.814004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:41.036976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 103
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445048.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:41.252063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20857.772
Coefficient of variation (CV)0.0060544203
Kurtosis-1.0204768
Mean3445048.5
Median Absolute Deviation (MAD)10000
Skewness-0.23506007
Sum3.5484 × 108
Variance4.3504664 × 108
MonotonicityIncreasing
2023-12-11T03:31:41.501416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 29
28.2%
3420000 18
17.5%
3460000 18
17.5%
3410000 10
 
9.7%
3470000 10
 
9.7%
3480000 7
 
6.8%
3440000 6
 
5.8%
3430000 5
 
4.9%
ValueCountFrequency (%)
3410000 10
 
9.7%
3420000 18
17.5%
3430000 5
 
4.9%
3440000 6
 
5.8%
3450000 29
28.2%
3460000 18
17.5%
3470000 10
 
9.7%
3480000 7
 
6.8%
ValueCountFrequency (%)
3480000 7
 
6.8%
3470000 10
 
9.7%
3460000 18
17.5%
3450000 29
28.2%
3440000 6
 
5.8%
3430000 5
 
4.9%
3420000 18
17.5%
3410000 10
 
9.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4450486 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:41.758417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.42 × 1017
median3.45 × 1017
Q33.46 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.0857772 × 1015
Coefficient of variation (CV)0.0060544202
Kurtosis-1.0204768
Mean3.4450486 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.23506007
Sum-1.409488 × 1018
Variance4.3504664 × 1030
MonotonicityNot monotonic
2023-12-11T03:31:42.092825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.0%
341000001320150001 1
 
1.0%
346000001320180007 1
 
1.0%
346000001320180006 1
 
1.0%
346000001320180005 1
 
1.0%
346000001320180004 1
 
1.0%
346000001320180003 1
 
1.0%
346000001320180002 1
 
1.0%
346000001320160001 1
 
1.0%
346000001320160003 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
341000001319790001 1
1.0%
341000001320120001 1
1.0%
341000001320150001 1
1.0%
341000001320150002 1
1.0%
341000001320160001 1
1.0%
341000001320180001 1
1.0%
341000001320180002 1
1.0%
341000001320200001 1
1.0%
341000001320210001 1
1.0%
341000001320210002 1
1.0%
ValueCountFrequency (%)
348000001320220004 1
1.0%
348000001320220003 1
1.0%
348000001320220002 1
1.0%
348000001320220001 1
1.0%
348000001320200001 1
1.0%
348000001320180002 1
1.0%
348000001320180001 1
1.0%
347000001320220005 1
1.0%
347000001320220004 1
1.0%
347000001320220003 1
1.0%

인허가일자
Real number (ℝ)

Distinct79
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20188748
Minimum19790411
Maximum20221028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:42.865351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20132025
Q120180605
median20191018
Q320220408
95-th percentile20220729
Maximum20221028
Range430617
Interquartile range (IQR)39802.5

Descriptive statistics

Standard deviation47226.218
Coefficient of variation (CV)0.0023392346
Kurtosis49.815819
Mean20188748
Median Absolute Deviation (MAD)19387
Skewness-6.0590561
Sum2.079441 × 109
Variance2.2303156 × 109
MonotonicityNot monotonic
2023-12-11T03:31:43.161361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180614 4
 
3.9%
20180529 4
 
3.9%
20180607 4
 
3.9%
20180605 4
 
3.9%
20180611 3
 
2.9%
20220518 3
 
2.9%
20220517 3
 
2.9%
20180608 3
 
2.9%
20220729 2
 
1.9%
20220519 2
 
1.9%
Other values (69) 71
68.9%
ValueCountFrequency (%)
19790411 1
1.0%
20120614 1
1.0%
20120828 1
1.0%
20121016 1
1.0%
20130321 1
1.0%
20131127 1
1.0%
20140106 1
1.0%
20150721 2
1.9%
20160125 1
1.0%
20160323 1
1.0%
ValueCountFrequency (%)
20221028 1
1.0%
20220926 1
1.0%
20220825 1
1.0%
20220817 1
1.0%
20220809 1
1.0%
20220729 2
1.9%
20220615 1
1.0%
20220610 1
1.0%
20220527 1
1.0%
20220523 1
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
90 
3
12 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 90
87.4%
3 12
 
11.7%
4 1
 
1.0%

Length

2023-12-11T03:31:43.405257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:43.600562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 90
87.4%
3 12
 
11.7%
4 1
 
1.0%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
영업/정상
90 
폐업
12 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.7378641
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 90
87.4%
폐업 12
 
11.7%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2023-12-11T03:31:43.821715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:44.038000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 90
87.4%
폐업 12
 
11.7%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
90 
2
12 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 90
87.4%
2 12
 
11.7%
4 1
 
1.0%

Length

2023-12-11T03:31:44.234523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:44.445424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 90
87.4%
2 12
 
11.7%
4 1
 
1.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
정상
90 
폐업
12 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row정상
2nd row정상
3rd row정상
4th row정상
5th row폐업

Common Values

ValueCountFrequency (%)
정상 90
87.4%
폐업 12
 
11.7%
말소 1
 
1.0%

Length

2023-12-11T03:31:44.651829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:44.860044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 90
87.4%
폐업 12
 
11.7%
말소 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing91
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean20203877
Minimum20160930
Maximum20221111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:45.044978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160930
5-th percentile20171600
Q120190255
median20210556
Q320220436
95-th percentile20220838
Maximum20221111
Range60181
Interquartile range (IQR)30180.25

Descriptive statistics

Standard deviation19255.454
Coefficient of variation (CV)0.00095305738
Kurtosis0.6723572
Mean20203877
Median Absolute Deviation (MAD)10003.5
Skewness-1.1805168
Sum2.4244653 × 108
Variance3.7077252 × 108
MonotonicityNot monotonic
2023-12-11T03:31:45.320965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20210901 2
 
1.9%
20160930 1
 
1.0%
20210201 1
 
1.0%
20220615 1
 
1.0%
20190109 1
 
1.0%
20220503 1
 
1.0%
20221111 1
 
1.0%
20220413 1
 
1.0%
20210210 1
 
1.0%
20190304 1
 
1.0%
(Missing) 91
88.3%
ValueCountFrequency (%)
20160930 1
1.0%
20180330 1
1.0%
20190109 1
1.0%
20190304 1
1.0%
20210201 1
1.0%
20210210 1
1.0%
20210901 2
1.9%
20220413 1
1.0%
20220503 1
1.0%
20220615 1
1.0%
ValueCountFrequency (%)
20221111 1
1.0%
20220615 1
1.0%
20220503 1
1.0%
20220413 1
1.0%
20210901 2
1.9%
20210210 1
1.0%
20210201 1
1.0%
20190304 1
1.0%
20190109 1
1.0%
20180330 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

소재지전화
Text

MISSING 

Distinct74
Distinct (%)96.1%
Missing26
Missing (%)25.2%
Memory size956.0 B
2023-12-11T03:31:45.803186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.025974
Min length7

Characters and Unicode

Total characters849
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

Unique71 ?
Unique (%)92.2%

Sample

1st row053-424-0042
2nd row425-7323
3rd row424-9944
4th row422-4327
5th row424-1950
ValueCountFrequency (%)
0536262605 2
 
2.6%
422-4327 2
 
2.6%
0533839661 2
 
2.6%
053-752-0907 1
 
1.3%
053-783-3566 1
 
1.3%
053-753-4313 1
 
1.3%
053-793-0279 1
 
1.3%
0537638866 1
 
1.3%
745-2326 1
 
1.3%
053-767-4317 1
 
1.3%
Other values (64) 64
83.1%
2023-12-11T03:31:46.585607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 132
15.5%
3 128
15.1%
5 124
14.6%
- 107
12.6%
6 65
7.7%
7 62
7.3%
4 61
7.2%
2 59
6.9%
8 44
 
5.2%
1 41
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 742
87.4%
Dash Punctuation 107
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 132
17.8%
3 128
17.3%
5 124
16.7%
6 65
8.8%
7 62
8.4%
4 61
8.2%
2 59
8.0%
8 44
 
5.9%
1 41
 
5.5%
9 26
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 849
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 132
15.5%
3 128
15.1%
5 124
14.6%
- 107
12.6%
6 65
7.7%
7 62
7.3%
4 61
7.2%
2 59
6.9%
8 44
 
5.2%
1 41
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 132
15.5%
3 128
15.1%
5 124
14.6%
- 107
12.6%
6 65
7.7%
7 62
7.3%
4 61
7.2%
2 59
6.9%
8 44
 
5.2%
1 41
 
4.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)95.2%
Missing82
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean449.11762
Minimum0
Maximum1685.1
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:46.848340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q189.1
median262.03
Q3759
95-th percentile1127.63
Maximum1685.1
Range1685.1
Interquartile range (IQR)669.9

Descriptive statistics

Standard deviation451.56178
Coefficient of variation (CV)1.0054421
Kurtosis1.2341779
Mean449.11762
Median Absolute Deviation (MAD)187.03
Skewness1.2913079
Sum9431.47
Variance203908.05
MonotonicityNot monotonic
2023-12-11T03:31:47.085670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
441.2 2
 
1.9%
1127.63 1
 
1.0%
759.0 1
 
1.0%
862.5 1
 
1.0%
970.2 1
 
1.0%
330.0 1
 
1.0%
1685.1 1
 
1.0%
207.75 1
 
1.0%
75.0 1
 
1.0%
49.0 1
 
1.0%
Other values (10) 10
 
9.7%
(Missing) 82
79.6%
ValueCountFrequency (%)
0.0 1
1.0%
48.0 1
1.0%
49.0 1
1.0%
66.12 1
1.0%
75.0 1
1.0%
89.1 1
1.0%
113.74 1
1.0%
207.75 1
1.0%
211.3 1
1.0%
258.18 1
1.0%
ValueCountFrequency (%)
1685.1 1
1.0%
1127.63 1
1.0%
996.42 1
1.0%
970.2 1
1.0%
862.5 1
1.0%
759.0 1
1.0%
441.2 2
1.9%
438.0 1
1.0%
330.0 1
1.0%
262.03 1
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

소재지전체주소
Text

MISSING 

Distinct90
Distinct (%)89.1%
Missing2
Missing (%)1.9%
Memory size956.0 B
2023-12-11T03:31:47.584026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.346535
Min length17

Characters and Unicode

Total characters2459
Distinct characters147
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

Unique82 ?
Unique (%)81.2%

Sample

1st row대구광역시 중구 동산동 **-*번지 *층
2nd row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호
3rd row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호
4th row대구광역시 중구 동인동*가 ***-*번지
5th row대구광역시 중구 대봉동 ***-**번지
ValueCountFrequency (%)
대구광역시 101
21.0%
51
 
10.6%
번지 50
 
10.4%
북구 29
 
6.0%
동구 18
 
3.7%
호 17
 
3.5%
산격동 17
 
3.5%
수성구 16
 
3.3%
층 13
 
2.7%
달서구 10
 
2.1%
Other values (91) 160
33.2%
2023-12-11T03:31:48.367008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 512
20.8%
471
19.2%
구 199
 
8.1%
동 126
 
5.1%
대 117
 
4.8%
시 106
 
4.3%
역 102
 
4.1%
광 101
 
4.1%
- 76
 
3.1%
지 62
 
2.5%
Other values (137) 587
23.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
56.6%
Other Punctuation 515
 
20.9%
Space Separator 471
 
19.2%
Dash Punctuation 76
 
3.1%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 199
14.3%
동 126
 
9.1%
대 117
 
8.4%
시 106
 
7.6%
역 102
 
7.3%
광 101
 
7.3%
지 62
 
4.5%
번 50
 
3.6%
산 33
 
2.4%
북 29
 
2.1%
Other values (127) 466
33.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
M 1
20.0%
T 1
20.0%
P 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 512
99.4%
, 3
 
0.6%
Space Separator
ValueCountFrequency (%)
471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1391
56.6%
Common 1063
43.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 199
14.3%
동 126
 
9.1%
대 117
 
8.4%
시 106
 
7.6%
역 102
 
7.3%
광 101
 
7.3%
지 62
 
4.5%
번 50
 
3.6%
산 33
 
2.4%
북 29
 
2.1%
Other values (127) 466
33.5%
Common
ValueCountFrequency (%)
* 512
48.2%
471
44.3%
- 76
 
7.1%
, 3
 
0.3%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
M 1
20.0%
T 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1391
56.6%
ASCII 1068
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 512
47.9%
471
44.1%
- 76
 
7.1%
, 3
 
0.3%
S 1
 
0.1%
+ 1
 
0.1%
K 1
 
0.1%
M 1
 
0.1%
T 1
 
0.1%
P 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 199
14.3%
동 126
 
9.1%
대 117
 
8.4%
시 106
 
7.6%
역 102
 
7.3%
광 101
 
7.3%
지 62
 
4.5%
번 50
 
3.6%
산 33
 
2.4%
북 29
 
2.1%
Other values (127) 466
33.5%

도로명전체주소
Text

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T03:31:48.768066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length29.912621
Min length21

Characters and Unicode

Total characters3081
Distinct characters183
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)88.3%

Sample

1st row대구광역시 중구 국채보상로 ***, *층 (동산동)
2nd row대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)
3rd row대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)
4th row대구광역시 중구 태평로 ***-* (동인동*가, 현대문화일보)
5th row대구광역시 중구 대봉로 *** (대봉동)
ValueCountFrequency (%)
대구광역시 103
 
16.7%
95
 
15.4%
층 30
 
4.9%
북구 29
 
4.7%
호 24
 
3.9%
동구 18
 
2.9%
수성구 18
 
2.9%
산격동 17
 
2.8%
동 11
 
1.8%
달서구 10
 
1.6%
Other values (162) 260
42.3%
2023-12-11T03:31:49.482728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
514
16.7%
* 486
15.8%
구 215
 
7.0%
동 153
 
5.0%
대 143
 
4.6%
시 110
 
3.6%
역 105
 
3.4%
로 105
 
3.4%
광 103
 
3.3%
( 96
 
3.1%
Other values (173) 1051
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1792
58.2%
Other Punctuation 558
 
18.1%
Space Separator 514
 
16.7%
Open Punctuation 96
 
3.1%
Close Punctuation 96
 
3.1%
Dash Punctuation 19
 
0.6%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 215
 
12.0%
동 153
 
8.5%
대 143
 
8.0%
시 110
 
6.1%
역 105
 
5.9%
로 105
 
5.9%
광 103
 
5.7%
성 36
 
2.0%
길 35
 
2.0%
북 35
 
2.0%
Other values (161) 752
42.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
S 1
20.0%
K 1
20.0%
T 1
20.0%
P 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 486
87.1%
, 72
 
12.9%
Space Separator
ValueCountFrequency (%)
514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1792
58.2%
Common 1284
41.7%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 215
 
12.0%
동 153
 
8.5%
대 143
 
8.0%
시 110
 
6.1%
역 105
 
5.9%
로 105
 
5.9%
광 103
 
5.7%
성 36
 
2.0%
길 35
 
2.0%
북 35
 
2.0%
Other values (161) 752
42.0%
Common
ValueCountFrequency (%)
514
40.0%
* 486
37.9%
( 96
 
7.5%
) 96
 
7.5%
, 72
 
5.6%
- 19
 
1.5%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
20.0%
S 1
20.0%
K 1
20.0%
T 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1792
58.2%
ASCII 1289
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
514
39.9%
* 486
37.7%
( 96
 
7.4%
) 96
 
7.4%
, 72
 
5.6%
- 19
 
1.5%
M 1
 
0.1%
S 1
 
0.1%
+ 1
 
0.1%
K 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
구 215
 
12.0%
동 153
 
8.5%
대 143
 
8.0%
시 110
 
6.1%
역 105
 
5.9%
로 105
 
5.9%
광 103
 
5.7%
성 36
 
2.0%
길 35
 
2.0%
북 35
 
2.0%
Other values (161) 752
42.0%

도로명우편번호
Real number (ℝ)

Distinct89
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41886.913
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:49.744653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41125.1
Q141504
median41863
Q342261
95-th percentile42917.7
Maximum43018
Range1982
Interquartile range (IQR)757

Descriptive statistics

Standard deviation559.44605
Coefficient of variation (CV)0.013356106
Kurtosis-0.91285868
Mean41886.913
Median Absolute Deviation (MAD)386
Skewness0.41485467
Sum4314352
Variance312979.88
MonotonicityNot monotonic
2023-12-11T03:31:50.086679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 5
 
4.9%
42261 3
 
2.9%
41518 3
 
2.9%
41515 2
 
1.9%
41940 2
 
1.9%
41941 2
 
1.9%
41267 2
 
1.9%
42405 2
 
1.9%
41504 2
 
1.9%
42158 1
 
1.0%
Other values (79) 79
76.7%
ValueCountFrequency (%)
41036 1
1.0%
41067 1
1.0%
41077 1
1.0%
41084 1
1.0%
41106 1
1.0%
41125 1
1.0%
41126 1
1.0%
41144 1
1.0%
41145 1
1.0%
41164 1
1.0%
ValueCountFrequency (%)
43018 1
1.0%
42974 1
1.0%
42955 1
1.0%
42930 1
1.0%
42925 1
1.0%
42918 1
1.0%
42915 1
1.0%
42829 1
1.0%
42818 1
1.0%
42796 1
1.0%

사업장명
Text

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T03:31:50.532918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.407767
Min length2

Characters and Unicode

Total characters866
Distinct characters186
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)90.3%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row주식회사 대구축산
ValueCountFrequency (%)
폴리파크 16
 
10.3%
주식회사 12
 
7.7%
주)이마트에브리데이 6
 
3.9%
주)포파코 4
 
2.6%
홈플러스 3
 
1.9%
코메드 2
 
1.3%
포파코 2
 
1.3%
칠곡점 2
 
1.3%
홈플러스(주 2
 
1.3%
제이 2
 
1.3%
Other values (98) 104
67.1%
2023-12-11T03:31:51.234469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
6.0%
점 37
 
4.3%
이 35
 
4.0%
주 34
 
3.9%
파 30
 
3.5%
리 29
 
3.3%
) 27
 
3.1%
( 27
 
3.1%
사 25
 
2.9%
스 24
 
2.8%
Other values (176) 546
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 713
82.3%
Space Separator 52
 
6.0%
Uppercase Letter 41
 
4.7%
Close Punctuation 27
 
3.1%
Open Punctuation 27
 
3.1%
Lowercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 37
 
5.2%
이 35
 
4.9%
주 34
 
4.8%
파 30
 
4.2%
리 29
 
4.1%
사 25
 
3.5%
스 24
 
3.4%
크 23
 
3.2%
폴 21
 
2.9%
대 17
 
2.4%
Other values (151) 438
61.4%
Uppercase Letter
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
N 4
9.8%
P 4
9.8%
S 3
 
7.3%
A 3
 
7.3%
R 3
 
7.3%
B 2
 
4.9%
Y 2
 
4.9%
K 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 713
82.3%
Common 109
 
12.6%
Latin 44
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 37
 
5.2%
이 35
 
4.9%
주 34
 
4.8%
파 30
 
4.2%
리 29
 
4.1%
사 25
 
3.5%
스 24
 
3.4%
크 23
 
3.2%
폴 21
 
2.9%
대 17
 
2.4%
Other values (151) 438
61.4%
Latin
ValueCountFrequency (%)
I 5
11.4%
O 5
11.4%
N 4
 
9.1%
P 4
 
9.1%
S 3
 
6.8%
A 3
 
6.8%
R 3
 
6.8%
B 2
 
4.5%
Y 2
 
4.5%
K 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
52
47.7%
) 27
24.8%
( 27
24.8%
- 1
 
0.9%
; 1
 
0.9%
& 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 713
82.3%
ASCII 153
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
34.0%
) 27
17.6%
( 27
17.6%
I 5
 
3.3%
O 5
 
3.3%
N 4
 
2.6%
P 4
 
2.6%
S 3
 
2.0%
A 3
 
2.0%
R 3
 
2.0%
Other values (15) 20
 
13.1%
Hangul
ValueCountFrequency (%)
점 37
 
5.2%
이 35
 
4.9%
주 34
 
4.8%
파 30
 
4.2%
리 29
 
4.1%
사 25
 
3.5%
스 24
 
3.4%
크 23
 
3.2%
폴 21
 
2.9%
대 17
 
2.4%
Other values (151) 438
61.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.019748 × 1013
Minimum2.0120614 × 1013
Maximum2.0221111 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:51.550142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0160155 × 1013
Q12.018061 × 1013
median2.0200424 × 1013
Q32.0220466 × 1013
95-th percentile2.0220816 × 1013
Maximum2.0221111 × 1013
Range1.0049702 × 1011
Interquartile range (IQR)3.9855988 × 1010

Descriptive statistics

Standard deviation2.3078881 × 1010
Coefficient of variation (CV)0.0011426614
Kurtosis0.90803286
Mean2.019748 × 1013
Median Absolute Deviation (MAD)1.9818991 × 1010
Skewness-0.94663773
Sum2.0803404 × 1015
Variance5.3263476 × 1020
MonotonicityNot monotonic
2023-12-11T03:31:51.833826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.0%
20150721150716 1
 
1.0%
20180611105416 1
 
1.0%
20180611105147 1
 
1.0%
20180605165058 1
 
1.0%
20180605164752 1
 
1.0%
20180605162034 1
 
1.0%
20180605175351 1
 
1.0%
20160125114353 1
 
1.0%
20190304162127 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
20120614131152 1
1.0%
20120828094312 1
1.0%
20140106104704 1
1.0%
20150721150716 1
1.0%
20150721151747 1
1.0%
20160125114353 1
1.0%
20160419104757 1
1.0%
20160930135708 1
1.0%
20170703153603 1
1.0%
20171108165439 1
1.0%
ValueCountFrequency (%)
20221111155740 1
1.0%
20221028091513 1
1.0%
20221027103023 1
1.0%
20220926094709 1
1.0%
20220825154434 1
1.0%
20220817085501 1
1.0%
20220809095852 1
1.0%
20220729102355 1
1.0%
20220729102019 1
1.0%
20220711110752 1
1.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
I
88 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 88
85.4%
U 15
 
14.6%

Length

2023-12-11T03:31:52.062964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:52.227882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 88
85.4%
u 15
 
14.6%

데이터갱신일자
Date

Distinct59
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2018-08-31 23:59:59
Maximum2022-11-13 02:40:00
2023-12-11T03:31:52.422081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:31:52.698565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344396.73
Minimum330172.72
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:52.946502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330172.72
5-th percentile335047.74
Q1341868.45
median345206.58
Q3346629.57
95-th percentile353208.52
Maximum356611.47
Range26438.753
Interquartile range (IQR)4761.117

Descriptive statistics

Standard deviation5329.2719
Coefficient of variation (CV)0.015474223
Kurtosis0.49863974
Mean344396.73
Median Absolute Deviation (MAD)2321.6772
Skewness-0.2680439
Sum35472863
Variance28401139
MonotonicityNot monotonic
2023-12-11T03:31:53.176616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902194 3
 
2.9%
345575.460989658 2
 
1.9%
344686.25933796 2
 
1.9%
344309.71561975 2
 
1.9%
345870.989303289 2
 
1.9%
345793.311978229 2
 
1.9%
342148.918219149 2
 
1.9%
353019.137710448 2
 
1.9%
342983.980987061 1
 
1.0%
345644.175864202 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
330172.717858702 1
1.0%
331994.266957273 1
1.0%
332209.678232161 1
1.0%
332211.021477461 1
1.0%
333039.054273592 1
1.0%
335042.486906519 1
1.0%
335095.041372721 1
1.0%
335186.778585713 1
1.0%
335559.179281654 1
1.0%
336876.464696313 1
1.0%
ValueCountFrequency (%)
356611.471345368 1
1.0%
356060.590271566 1
1.0%
354858.65039992 1
1.0%
354567.84178709 1
1.0%
354003.244560961 1
1.0%
353212.634984674 1
1.0%
353171.444006062 1
1.0%
353019.137710448 2
1.9%
352986.591397707 1
1.0%
352722.310665423 1
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct94
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264459.26
Minimum244660.4
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T03:31:53.415667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244660.4
5-th percentile258669.57
Q1262333.54
median264564.23
Q3267384.07
95-th percentile270109.57
Maximum273217.03
Range28556.626
Interquartile range (IQR)5050.5304

Descriptive statistics

Standard deviation4069.5996
Coefficient of variation (CV)0.01538838
Kurtosis4.696555
Mean264459.26
Median Absolute Deviation (MAD)2622.6819
Skewness-1.1070525
Sum27239304
Variance16561641
MonotonicityNot monotonic
2023-12-11T03:31:53.629863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268253.830252935 3
 
2.9%
268870.659507124 2
 
1.9%
263958.880864104 2
 
1.9%
264309.215110644 2
 
1.9%
268737.493191492 2
 
1.9%
264564.232699088 2
 
1.9%
262782.01184369 2
 
1.9%
261926.16291801 2
 
1.9%
264559.497124783 1
 
1.0%
263421.544399674 1
 
1.0%
Other values (84) 84
81.6%
ValueCountFrequency (%)
244660.404545869 1
1.0%
254433.745591585 1
1.0%
256213.693334278 1
1.0%
257163.326287088 1
1.0%
257618.088477792 1
1.0%
258645.860959228 1
1.0%
258882.959711369 1
1.0%
259111.444544112 1
1.0%
259330.525762777 1
1.0%
259460.119324605 1
1.0%
ValueCountFrequency (%)
273217.030061446 1
1.0%
273097.828373072 1
1.0%
272735.675659876 1
1.0%
270836.56470119 1
1.0%
270352.090359897 1
1.0%
270241.487522723 1
1.0%
268922.318187476 1
1.0%
268913.137449925 1
1.0%
268870.659507124 2
1.9%
268737.493191492 2
1.9%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
동물용의료용구판매업
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 103
100.0%

Length

2023-12-11T03:31:53.830923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:53.977077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 103
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
000
72 
L00
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd row000
4th rowL00
5th row000

Common Values

ValueCountFrequency (%)
000 72
69.9%
L00 31
30.1%

Length

2023-12-11T03:31:54.125203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:54.234756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 72
69.9%
l00 31
30.1%

총직원수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
<NA>
64 
0
39 

Length

Max length4
Median length4
Mean length2.8640777
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 64
62.1%
0 39
37.9%

Length

2023-12-11T03:31:54.348583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:54.484325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
62.1%
0 39
37.9%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물용의료용구판매업02_03_03_P341000034100000132012000120120828<NA>1영업/정상0정상<NA><NA><NA><NA>053-424-0042438.0<NA>대구광역시 중구 동산동 **-*번지 *층대구광역시 중구 국채보상로 ***, *층 (동산동)41921(주)한국교통정보20120828094312I2018-08-31 23:59:59.0<NA>342983.980987264559.497125동물용의료용구판매업<NA>L00<NA>
12동물용의료용구판매업02_03_03_P341000034100000132015000120150721<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)41940컴패니언20150721150716I2018-08-31 23:59:59.0<NA>344686.259338263958.880864동물용의료용구판매업<NA>000<NA>
23동물용의료용구판매업02_03_03_P341000034100000132015000220150721<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)41940컴패니언20150721151747I2018-08-31 23:59:59.0<NA>344686.259338263958.880864동물용의료용구판매업<NA>000<NA>
34동물용의료용구판매업02_03_03_P341000034100000132016000120160419<NA>1영업/정상0정상<NA><NA><NA><NA>425-7323211.3<NA>대구광역시 중구 동인동*가 ***-*번지대구광역시 중구 태평로 ***-* (동인동*가, 현대문화일보)41906(주)태영엘에스20160419104757I2018-08-31 23:59:59.0<NA>345337.355564264851.279983동물용의료용구판매업<NA>L00<NA>
45동물용의료용구판매업02_03_03_P341000034100000131979000119790411<NA>3폐업2폐업20160930<NA><NA><NA>424-99440.0<NA>대구광역시 중구 대봉동 ***-**번지대구광역시 중구 대봉로 *** (대봉동)41950주식회사 대구축산20160930135708I2018-08-31 23:59:59.0<NA>344432.563324263763.687867동물용의료용구판매업<NA>000<NA>
56동물용의료용구판매업02_03_03_P341000034100000132018000220180529<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 **-*번지대구광역시 중구 동성로*길 ** (공평동)41941폴리파크(POLYPARK)20180529170607I2018-08-31 23:59:59.0<NA>344309.71562264309.215111동물용의료용구판매업<NA>000<NA>
67동물용의료용구판매업02_03_03_P341000034100000132021000220210805<NA>1영업/정상0정상<NA><NA><NA><NA>424-1950<NA><NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 동덕로**길 ***-*(동인동*가)41946대왕메디칼20210805110339I2021-08-07 00:22:51.0<NA>345388.270202264100.025759동물용의료용구판매업<NA>0000
78동물용의료용구판매업02_03_03_P341000034100000132020000120201224<NA>1영업/정상0정상<NA><NA><NA><NA>557-9044<NA><NA>대구광역시 중구 동성로*가 **-** ****호대구광역시 중구 국채보상로 ***, ****호 (동성로*가)41937에스엠진단20201224091825I2020-12-26 00:23:21.0<NA>343959.823762264529.39356동물용의료용구판매업<NA>000<NA>
89동물용의료용구판매업02_03_03_P341000034100000132021000120210113<NA>1영업/정상0정상<NA><NA><NA><NA>428-2020<NA><NA>대구광역시 중구 동성로*가 **-*대구광역시 중구 동성로 **-*, *층 (동성로*가)41913삼아유통20210113172340I2021-01-15 00:23:04.0<NA>344053.360694264627.11698동물용의료용구판매업<NA>000<NA>
910동물용의료용구판매업02_03_03_P341000034100000132018000120180529<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 **-*번지대구광역시 중구 동성로*길 ** (공평동)41941폴리파크(POLYPARK)20180529165717I2018-08-31 23:59:59.0<NA>344309.71562264309.215111동물용의료용구판매업<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
9394동물용의료용구판매업02_03_03_P347000034700000132022000420220610<NA>1영업/정상0정상<NA><NA><NA><NA>053-710-4797<NA><NA>대구광역시 달서구 대천동 **** 월배삼정그린코아포레스트대구광역시 달서구 조암남로**길 **, *층 ***,***,***,***,***호 (대천동, 월배삼정그린코아포레스트)42759(주)이마트에브리데이 대구대천점20220610131612I2022-06-12 00:22:30.0<NA>336876.464696258882.959711동물용의료용구판매업<NA>L000
9495동물용의료용구판매업02_03_03_P347000034700000132022000220220518<NA>1영업/정상0정상<NA><NA><NA><NA>053-550-8000<NA><NA>대구광역시 달서구 용산동 ***-**대구광역시 달서구 달구벌대로 ****, 지하*층 (용산동)42637홈플러스 성서점20220518094655I2022-05-20 00:22:32.0<NA>337916.079938262111.061698동물용의료용구판매업<NA>L000
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