Overview

Dataset statistics

Number of variables32
Number of observations96
Missing cells859
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.0 KiB
Average record size in memory277.4 B

Variable types

Numeric10
Categorical10
Unsupported7
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_02_03_03_P_동물용의료용구판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093699&dataSetDetailId=DDI_0000093740&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (64.4%)Imbalance
영업상태명 is highly imbalanced (64.4%)Imbalance
상세영업상태코드 is highly imbalanced (64.4%)Imbalance
상세영업상태명 is highly imbalanced (64.4%)Imbalance
인허가취소일자 has 96 (100.0%) missing valuesMissing
폐업일자 has 86 (89.6%) missing valuesMissing
휴업시작일자 has 96 (100.0%) missing valuesMissing
휴업종료일자 has 96 (100.0%) missing valuesMissing
재개업일자 has 96 (100.0%) missing valuesMissing
소재지전화 has 22 (22.9%) missing valuesMissing
소재지면적 has 75 (78.1%) missing valuesMissing
소재지우편번호 has 96 (100.0%) missing valuesMissing
소재지전체주소 has 2 (2.1%) missing valuesMissing
업태구분명 has 96 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.0%) missing valuesMissing
좌표정보(Y) has 1 (1.0%) missing valuesMissing
상세업무구분명 has 96 (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
소재지면적 has 1 (1.0%) zerosZeros

Reproduction

Analysis started2024-04-18 01:01:04.910867
Analysis finished2024-04-18 01:01:05.309742
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.5
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:05.370277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.75
Q124.75
median48.5
Q372.25
95-th percentile91.25
Maximum96
Range95
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation27.856777
Coefficient of variation (CV)0.57436653
Kurtosis-1.2
Mean48.5
Median Absolute Deviation (MAD)24
Skewness0
Sum4656
Variance776
MonotonicityStrictly increasing
2024-04-18T10:01:05.481558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
50 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (86) 86
89.6%
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 (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
동물용의료용구판매업
96 

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 96
100.0%

Length

2024-04-18T10:01:05.589322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:05.676510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 96
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
02_03_03_P
96 

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 96
100.0%

Length

2024-04-18T10:01:05.747423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:05.819551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 96
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445312.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:05.884871image/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 deviation21073.961
Coefficient of variation (CV)0.0061167053
Kurtosis-1.0124576
Mean3445312.5
Median Absolute Deviation (MAD)10000
Skewness-0.2616662
Sum3.3075 × 108
Variance4.4411184 × 108
MonotonicityIncreasing
2024-04-18T10:01:05.977366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 26
27.1%
3460000 18
18.8%
3420000 16
16.7%
3410000 10
 
10.4%
3470000 9
 
9.4%
3480000 7
 
7.3%
3440000 6
 
6.2%
3430000 4
 
4.2%
ValueCountFrequency (%)
3410000 10
 
10.4%
3420000 16
16.7%
3430000 4
 
4.2%
3440000 6
 
6.2%
3450000 26
27.1%
3460000 18
18.8%
3470000 9
 
9.4%
3480000 7
 
7.3%
ValueCountFrequency (%)
3480000 7
 
7.3%
3470000 9
 
9.4%
3460000 18
18.8%
3450000 26
27.1%
3440000 6
 
6.2%
3430000 4
 
4.2%
3420000 16
16.7%
3410000 10
 
10.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4453125 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:06.097656image/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 deviation2.1073961 × 1015
Coefficient of variation (CV)0.0061167053
Kurtosis-1.0124576
Mean3.4453125 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.2616662
Sum-3.818488 × 1018
Variance4.4411184 × 1030
MonotonicityNot monotonic
2024-04-18T10:01:06.220633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.0%
345000001320220002 1
 
1.0%
346000001320180008 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%
Other values (86) 86
89.6%
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%
347000001320220004 1
1.0%
347000001320220003 1
1.0%
347000001320220002 1
1.0%

인허가일자
Real number (ℝ)

Distinct73
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20186408
Minimum19790411
Maximum20220615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:06.344985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20130926
Q120180586
median20190316
Q320210909
95-th percentile20220519
Maximum20220615
Range430204
Interquartile range (IQR)30322.75

Descriptive statistics

Standard deviation48096.214
Coefficient of variation (CV)0.0023826039
Kurtosis48.680097
Mean20186408
Median Absolute Deviation (MAD)19152
Skewness-6.0409151
Sum1.9378952 × 109
Variance2.3132458 × 109
MonotonicityNot monotonic
2024-04-18T10:01:06.470156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180614 4
 
4.2%
20180529 4
 
4.2%
20180607 4
 
4.2%
20180605 4
 
4.2%
20180608 3
 
3.1%
20220517 3
 
3.1%
20220518 3
 
3.1%
20180611 3
 
3.1%
20150721 2
 
2.1%
20220519 2
 
2.1%
Other values (63) 64
66.7%
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
2.1%
20160125 1
1.0%
20160323 1
1.0%
ValueCountFrequency (%)
20220615 1
 
1.0%
20220610 1
 
1.0%
20220527 1
 
1.0%
20220523 1
 
1.0%
20220520 1
 
1.0%
20220519 2
2.1%
20220518 3
3.1%
20220517 3
3.1%
20220516 1
 
1.0%
20220513 1
 
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
85 
3
10 
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 row1

Common Values

ValueCountFrequency (%)
1 85
88.5%
3 10
 
10.4%
4 1
 
1.0%

Length

2024-04-18T10:01:06.586987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:06.666664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
88.5%
3 10
 
10.4%
4 1
 
1.0%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업/정상
85 
폐업
10 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.78125
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 85
88.5%
폐업 10
 
10.4%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-04-18T10:01:06.760447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:06.839653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 85
88.5%
폐업 10
 
10.4%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
0
85 
2
10 
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 row0

Common Values

ValueCountFrequency (%)
0 85
88.5%
2 10
 
10.4%
4 1
 
1.0%

Length

2024-04-18T10:01:06.935972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:07.010693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 85
88.5%
2 10
 
10.4%
4 1
 
1.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
정상
85 
폐업
10 
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 row정상

Common Values

ValueCountFrequency (%)
정상 85
88.5%
폐업 10
 
10.4%
말소 1
 
1.0%

Length

2024-04-18T10:01:07.090084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:07.167797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 85
88.5%
폐업 10
 
10.4%
말소 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing86
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean20200480
Minimum20160930
Maximum20220503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:07.244769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160930
5-th percentile20169660
Q120190158
median20210206
Q320210901
95-th percentile20220462
Maximum20220503
Range59573
Interquartile range (IQR)20743.25

Descriptive statistics

Standard deviation19396.288
Coefficient of variation (CV)0.00096018945
Kurtosis0.27749795
Mean20200480
Median Absolute Deviation (MAD)10252.5
Skewness-0.99288825
Sum2.020048 × 108
Variance3.7621598 × 108
MonotonicityNot monotonic
2024-04-18T10:01:07.332492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20210901 2
 
2.1%
20160930 1
 
1.0%
20210201 1
 
1.0%
20190109 1
 
1.0%
20220503 1
 
1.0%
20220413 1
 
1.0%
20210210 1
 
1.0%
20180330 1
 
1.0%
20190304 1
 
1.0%
(Missing) 86
89.6%
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
2.1%
20220413 1
1.0%
20220503 1
1.0%
ValueCountFrequency (%)
20220503 1
1.0%
20220413 1
1.0%
20210901 2
2.1%
20210210 1
1.0%
20210201 1
1.0%
20190304 1
1.0%
20190109 1
1.0%
20180330 1
1.0%
20160930 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

소재지전화
Text

MISSING 

Distinct71
Distinct (%)95.9%
Missing22
Missing (%)22.9%
Memory size900.0 B
2024-04-18T10:01:07.540248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.027027
Min length7

Characters and Unicode

Total characters816
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

Unique68 ?
Unique (%)91.9%

Sample

1st row053-424-0042
2nd row425-7323
3rd row422-4327
4th row422-4327
5th row424-1950
ValueCountFrequency (%)
0536262605 2
 
2.7%
0533839661 2
 
2.7%
422-4327 2
 
2.7%
053-760-8124 1
 
1.4%
053-781-0368 1
 
1.4%
0536078000 1
 
1.4%
053-384-0152 1
 
1.4%
0533251550 1
 
1.4%
0533844758 1
 
1.4%
070-7825-3636 1
 
1.4%
Other values (61) 61
82.4%
2024-04-18T10:01:07.883847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 125
15.3%
3 124
15.2%
5 119
14.6%
- 105
12.9%
6 63
7.7%
7 60
7.4%
2 59
7.2%
4 59
7.2%
8 41
 
5.0%
1 36
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 711
87.1%
Dash Punctuation 105
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
17.6%
3 124
17.4%
5 119
16.7%
6 63
8.9%
7 60
8.4%
2 59
8.3%
4 59
8.3%
8 41
 
5.8%
1 36
 
5.1%
9 25
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125
15.3%
3 124
15.2%
5 119
14.6%
- 105
12.9%
6 63
7.7%
7 60
7.4%
2 59
7.2%
4 59
7.2%
8 41
 
5.0%
1 36
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125
15.3%
3 124
15.2%
5 119
14.6%
- 105
12.9%
6 63
7.7%
7 60
7.4%
2 59
7.2%
4 59
7.2%
8 41
 
5.0%
1 36
 
4.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)95.2%
Missing75
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean449.11762
Minimum0
Maximum1685.1
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:07.994178image/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
2024-04-18T10:01:08.088672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
441.2 2
 
2.1%
48.0 1
 
1.0%
970.2 1
 
1.0%
759.0 1
 
1.0%
862.5 1
 
1.0%
330.0 1
 
1.0%
1685.1 1
 
1.0%
207.75 1
 
1.0%
49.0 1
 
1.0%
1127.63 1
 
1.0%
Other values (10) 10
 
10.4%
(Missing) 75
78.1%
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
2.1%
438.0 1
1.0%
330.0 1
1.0%
262.03 1
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

소재지전체주소
Text

MISSING 

Distinct84
Distinct (%)89.4%
Missing2
Missing (%)2.1%
Memory size900.0 B
2024-04-18T10:01:08.314945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.308511
Min length17

Characters and Unicode

Total characters2285
Distinct characters146
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

Unique77 ?
Unique (%)81.9%

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 공평동 **-*번지
ValueCountFrequency (%)
대구광역시 94
21.1%
번지 52
 
11.7%
42
 
9.4%
북구 26
 
5.8%
동구 16
 
3.6%
산격동 16
 
3.6%
수성구 16
 
3.6%
호 14
 
3.1%
중구 10
 
2.2%
층 10
 
2.2%
Other values (87) 149
33.5%
2024-04-18T10:01:08.666517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 461
20.2%
436
19.1%
구 185
 
8.1%
동 115
 
5.0%
대 109
 
4.8%
시 99
 
4.3%
역 95
 
4.2%
광 94
 
4.1%
- 71
 
3.1%
지 64
 
2.8%
Other values (136) 556
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1309
57.3%
Other Punctuation 463
 
20.3%
Space Separator 436
 
19.1%
Dash Punctuation 71
 
3.1%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 185
14.1%
동 115
 
8.8%
대 109
 
8.3%
시 99
 
7.6%
역 95
 
7.3%
광 94
 
7.2%
지 64
 
4.9%
번 52
 
4.0%
산 30
 
2.3%
성 28
 
2.1%
Other values (126) 438
33.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
P 1
20.0%
T 1
20.0%
K 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 461
99.6%
, 2
 
0.4%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1309
57.3%
Common 971
42.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 185
14.1%
동 115
 
8.8%
대 109
 
8.3%
시 99
 
7.6%
역 95
 
7.3%
광 94
 
7.2%
지 64
 
4.9%
번 52
 
4.0%
산 30
 
2.3%
성 28
 
2.1%
Other values (126) 438
33.5%
Common
ValueCountFrequency (%)
* 461
47.5%
436
44.9%
- 71
 
7.3%
, 2
 
0.2%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
20.0%
P 1
20.0%
T 1
20.0%
K 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1309
57.3%
ASCII 976
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 461
47.2%
436
44.7%
- 71
 
7.3%
, 2
 
0.2%
+ 1
 
0.1%
M 1
 
0.1%
P 1
 
0.1%
T 1
 
0.1%
K 1
 
0.1%
S 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 185
14.1%
동 115
 
8.8%
대 109
 
8.3%
시 99
 
7.6%
역 95
 
7.3%
광 94
 
7.2%
지 64
 
4.9%
번 52
 
4.0%
산 30
 
2.3%
성 28
 
2.1%
Other values (126) 438
33.5%

도로명전체주소
Text

Distinct90
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-18T10:01:08.867067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length29.802083
Min length21

Characters and Unicode

Total characters2861
Distinct characters180
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

Unique84 ?
Unique (%)87.5%

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 동성로*길 ** (공평동)
ValueCountFrequency (%)
대구광역시 96
 
16.8%
89
 
15.6%
층 26
 
4.6%
북구 26
 
4.6%
호 21
 
3.7%
수성구 18
 
3.2%
산격동 16
 
2.8%
동구 16
 
2.8%
중구 10
 
1.8%
달서구 9
 
1.6%
Other values (152) 244
42.7%
2024-04-18T10:01:09.174240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
16.7%
* 444
15.5%
구 200
 
7.0%
동 140
 
4.9%
대 135
 
4.7%
시 103
 
3.6%
역 98
 
3.4%
로 98
 
3.4%
광 96
 
3.4%
) 89
 
3.1%
Other values (170) 981
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1674
58.5%
Other Punctuation 508
 
17.8%
Space Separator 477
 
16.7%
Close Punctuation 89
 
3.1%
Open Punctuation 89
 
3.1%
Dash Punctuation 18
 
0.6%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 200
 
11.9%
동 140
 
8.4%
대 135
 
8.1%
시 103
 
6.2%
역 98
 
5.9%
로 98
 
5.9%
광 96
 
5.7%
성 36
 
2.2%
길 32
 
1.9%
북 32
 
1.9%
Other values (158) 704
42.1%
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 (%)
* 444
87.4%
, 64
 
12.6%
Space Separator
ValueCountFrequency (%)
477
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1674
58.5%
Common 1182
41.3%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 200
 
11.9%
동 140
 
8.4%
대 135
 
8.1%
시 103
 
6.2%
역 98
 
5.9%
로 98
 
5.9%
광 96
 
5.7%
성 36
 
2.2%
길 32
 
1.9%
북 32
 
1.9%
Other values (158) 704
42.1%
Common
ValueCountFrequency (%)
477
40.4%
* 444
37.6%
) 89
 
7.5%
( 89
 
7.5%
, 64
 
5.4%
- 18
 
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 1674
58.5%
ASCII 1187
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
40.2%
* 444
37.4%
) 89
 
7.5%
( 89
 
7.5%
, 64
 
5.4%
- 18
 
1.5%
M 1
 
0.1%
S 1
 
0.1%
K 1
 
0.1%
+ 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
구 200
 
11.9%
동 140
 
8.4%
대 135
 
8.1%
시 103
 
6.2%
역 98
 
5.9%
로 98
 
5.9%
광 96
 
5.7%
성 36
 
2.2%
길 32
 
1.9%
북 32
 
1.9%
Other values (158) 704
42.1%

도로명우편번호
Real number (ℝ)

Distinct83
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41907.646
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:09.307355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41125.75
Q141504.75
median41917
Q342261
95-th percentile42919.75
Maximum43018
Range1982
Interquartile range (IQR)756.25

Descriptive statistics

Standard deviation559.95212
Coefficient of variation (CV)0.013361574
Kurtosis-0.93442579
Mean41907.646
Median Absolute Deviation (MAD)402
Skewness0.36880878
Sum4023134
Variance313546.38
MonotonicityNot monotonic
2024-04-18T10:01:09.427695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 4
 
4.2%
42261 3
 
3.1%
41518 3
 
3.1%
42405 2
 
2.1%
41267 2
 
2.1%
41504 2
 
2.1%
41940 2
 
2.1%
41515 2
 
2.1%
41941 2
 
2.1%
41422 1
 
1.0%
Other values (73) 73
76.0%
ValueCountFrequency (%)
41036 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%
41206 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

Distinct91
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-18T10:01:09.617409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.40625
Min length2

Characters and Unicode

Total characters807
Distinct characters179
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

Unique86 ?
Unique (%)89.6%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row폴리파크(POLYPARK)
ValueCountFrequency (%)
폴리파크 16
 
11.1%
주식회사 9
 
6.2%
주)이마트에브리데이 6
 
4.2%
주)포파코 4
 
2.8%
홈플러스 3
 
2.1%
컴패니언 2
 
1.4%
홍인사이언스 2
 
1.4%
칠곡점 2
 
1.4%
포파코 2
 
1.4%
상인점 2
 
1.4%
Other values (90) 96
66.7%
2024-04-18T10:01:09.943002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
5.9%
점 37
 
4.6%
이 34
 
4.2%
파 30
 
3.7%
주 29
 
3.6%
리 29
 
3.6%
( 25
 
3.1%
) 25
 
3.1%
스 23
 
2.9%
크 23
 
2.9%
Other values (169) 504
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 662
82.0%
Space Separator 48
 
5.9%
Uppercase Letter 41
 
5.1%
Open Punctuation 25
 
3.1%
Close Punctuation 25
 
3.1%
Lowercase Letter 3
 
0.4%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 37
 
5.6%
이 34
 
5.1%
파 30
 
4.5%
주 29
 
4.4%
리 29
 
4.4%
스 23
 
3.5%
크 23
 
3.5%
사 22
 
3.3%
폴 21
 
3.2%
대 15
 
2.3%
Other values (144) 399
60.3%
Uppercase Letter
ValueCountFrequency (%)
O 5
12.2%
I 5
12.2%
N 4
9.8%
P 4
9.8%
R 3
 
7.3%
S 3
 
7.3%
A 3
 
7.3%
K 2
 
4.9%
Y 2
 
4.9%
L 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
; 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 662
82.0%
Common 101
 
12.5%
Latin 44
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 37
 
5.6%
이 34
 
5.1%
파 30
 
4.5%
주 29
 
4.4%
리 29
 
4.4%
스 23
 
3.5%
크 23
 
3.5%
사 22
 
3.3%
폴 21
 
3.2%
대 15
 
2.3%
Other values (144) 399
60.3%
Latin
ValueCountFrequency (%)
O 5
11.4%
I 5
11.4%
N 4
 
9.1%
P 4
 
9.1%
R 3
 
6.8%
S 3
 
6.8%
A 3
 
6.8%
K 2
 
4.5%
Y 2
 
4.5%
L 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
48
47.5%
( 25
24.8%
) 25
24.8%
- 1
 
1.0%
& 1
 
1.0%
; 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 662
82.0%
ASCII 145
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
33.1%
( 25
17.2%
) 25
17.2%
O 5
 
3.4%
I 5
 
3.4%
N 4
 
2.8%
P 4
 
2.8%
R 3
 
2.1%
S 3
 
2.1%
A 3
 
2.1%
Other values (15) 20
13.8%
Hangul
ValueCountFrequency (%)
점 37
 
5.6%
이 34
 
5.1%
파 30
 
4.5%
주 29
 
4.4%
리 29
 
4.4%
스 23
 
3.5%
크 23
 
3.5%
사 22
 
3.3%
폴 21
 
3.2%
대 15
 
2.3%
Other values (144) 399
60.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0194828 × 1013
Minimum2.0120614 × 1013
Maximum2.0220615 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:10.064719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0157774 × 1013
Q12.0180608 × 1013
median2.0195621 × 1013
Q32.0220189 × 1013
95-th percentile2.0220519 × 1013
Maximum2.0220615 × 1013
Range1.0000101 × 1011
Interquartile range (IQR)3.9580987 × 1010

Descriptive statistics

Standard deviation2.2886328 × 1010
Coefficient of variation (CV)0.0011332767
Kurtosis0.82372235
Mean2.0194828 × 1013
Median Absolute Deviation (MAD)1.5053936 × 1010
Skewness-0.84570396
Sum1.9387035 × 1015
Variance5.2378402 × 1020
MonotonicityNot monotonic
2024-04-18T10:01:10.190457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.0%
20220401105944 1
 
1.0%
20180611110414 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%
Other values (86) 86
89.6%
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%
20160323171659 1
1.0%
20160419104757 1
1.0%
20160930135708 1
1.0%
20170703153603 1
1.0%
ValueCountFrequency (%)
20220615140728 1
1.0%
20220610131612 1
1.0%
20220527093838 1
1.0%
20220523094558 1
1.0%
20220520105122 1
1.0%
20220519135147 1
1.0%
20220519094125 1
1.0%
20220518100023 1
1.0%
20220518094807 1
1.0%
20220518094655 1
1.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
I
84 
U
12 

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 84
87.5%
U 12
 
12.5%

Length

2024-04-18T10:01:10.299994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:10.379828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 84
87.5%
u 12
 
12.5%

데이터갱신일자
Date

Distinct52
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2018-08-31 23:59:59
Maximum2022-06-17 00:22:30
2024-04-18T10:01:10.485919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T10:01:10.610995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)90.5%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean344439.5
Minimum330180
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:10.727023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330180
5-th percentile334441.46
Q1341987.52
median345206.58
Q3346724.15
95-th percentile353183.8
Maximum356611.47
Range26431.471
Interquartile range (IQR)4736.63

Descriptive statistics

Standard deviation5327.389
Coefficient of variation (CV)0.015466836
Kurtosis0.5923112
Mean344439.5
Median Absolute Deviation (MAD)2222.5975
Skewness-0.34843308
Sum32721752
Variance28381074
MonotonicityNot monotonic
2024-04-18T10:01:10.853519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902 3
 
3.1%
353019.13771 2
 
2.1%
344309.71562 2
 
2.1%
344686.259338 2
 
2.1%
345575.46099 2
 
2.1%
345870.989303 2
 
2.1%
345793.311978 2
 
2.1%
342236.602185 2
 
2.1%
345206.578526 1
 
1.0%
345644.175864 1
 
1.0%
Other values (76) 76
79.2%
ValueCountFrequency (%)
330180.0 1
1.0%
331994.266957 1
1.0%
332211.021477 1
1.0%
332317.0 1
1.0%
333039.054274 1
1.0%
335042.486907 1
1.0%
335095.041373 1
1.0%
335186.778586 1
1.0%
335559.179282 1
1.0%
336858.196978 1
1.0%
ValueCountFrequency (%)
356611.471345 1
1.0%
356060.590272 1
1.0%
354567.841787 1
1.0%
354003.244561 1
1.0%
353212.634985 1
1.0%
353171.444006 1
1.0%
353019.13771 2
2.1%
352986.591398 1
1.0%
352722.310665 1
1.0%
350685.592287 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)90.5%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean264371.71
Minimum244698
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-18T10:01:10.963643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile258722.17
Q1262026.31
median264564.23
Q3267068.28
95-th percentile269318.07
Maximum273217.03
Range28519.03
Interquartile range (IQR)5041.9784

Descriptive statistics

Standard deviation3997.2338
Coefficient of variation (CV)0.015119749
Kurtosis5.3825161
Mean264371.71
Median Absolute Deviation (MAD)2622.6819
Skewness-1.2393953
Sum25115312
Variance15977878
MonotonicityNot monotonic
2024-04-18T10:01:11.071296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268253.830253 3
 
3.1%
261926.162918 2
 
2.1%
264309.215111 2
 
2.1%
263958.880864 2
 
2.1%
268870.659507 2
 
2.1%
268737.493191 2
 
2.1%
264564.232699 2
 
2.1%
263098.702086 2
 
2.1%
260875.577524 1
 
1.0%
263421.5444 1
 
1.0%
Other values (76) 76
79.2%
ValueCountFrequency (%)
244698.0 1
1.0%
254400.0 1
1.0%
257163.326287 1
1.0%
257618.088478 1
1.0%
258645.860959 1
1.0%
258754.880213 1
1.0%
259111.444544 1
1.0%
259330.525763 1
1.0%
259460.119325 1
1.0%
259790.219749 1
1.0%
ValueCountFrequency (%)
273217.030061 1
1.0%
272735.67566 1
1.0%
270836.564701 1
1.0%
270352.09036 1
1.0%
270241.487523 1
1.0%
268922.318187 1
1.0%
268870.659507 2
2.1%
268737.493191 2
2.1%
268678.066448 1
1.0%
268649.816648 1
1.0%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
동물용의료용구판매업
96 

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 96
100.0%

Length

2024-04-18T10:01:11.179414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:11.255114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 96
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
000
68 
L00
28 

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 68
70.8%
L00 28
29.2%

Length

2024-04-18T10:01:11.336060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:11.410696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 68
70.8%
l00 28
29.2%

총종업원수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
66 
0
30 

Length

Max length4
Median length4
Mean length3.0625
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> 66
68.8%
0 30
31.2%

Length

2024-04-18T10:01:11.496331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:01:11.583128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
68.8%
0 30
31.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
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_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>
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_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
8687동물용의료용구판매업02_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>336858.196978258754.880213동물용의료용구판매업<NA>L000
8788동물용의료용구판매업02_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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