Overview

Dataset statistics

Number of variables33
Number of observations65
Missing cells710
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory287.0 B

Variable types

Numeric10
Categorical9
Unsupported9
Text4
DateTime1

Dataset

Description6270000_대구광역시_02_03_03_P_동물용의료용구판매업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088427&dataSetDetailId=DDI_0000088463&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (55.6%)Imbalance
영업상태명 is highly imbalanced (55.6%)Imbalance
상세영업상태코드 is highly imbalanced (55.6%)Imbalance
상세영업상태명 is highly imbalanced (55.6%)Imbalance
데이터갱신구분 is highly imbalanced (50.7%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 59 (90.8%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
소재지전화 has 15 (23.1%) missing valuesMissing
소재지면적 has 49 (75.4%) missing valuesMissing
소재지우편번호 has 65 (100.0%) missing valuesMissing
소재지전체주소 has 2 (3.1%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
축산물가공업구분명 has 65 (100.0%) missing valuesMissing
축산일련번호 has 65 (100.0%) missing valuesMissing
총종업원수 has 65 (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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-10 18:12:28.718345
Analysis finished2023-12-10 18:12:29.434646
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:29.563400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-11T03:12:29.812629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
동물용의료용구판매업
65 

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 65
100.0%

Length

2023-12-11T03:12:30.029863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:30.198377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 65
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
02_03_03_P
65 

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 65
100.0%

Length

2023-12-11T03:12:30.377331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:30.562083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 65
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442923.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:30.714279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20594.529
Coefficient of variation (CV)0.0059816988
Kurtosis-1.0450831
Mean3442923.1
Median Absolute Deviation (MAD)10000
Skewness-0.28544181
Sum2.2379 × 108
Variance4.2413462 × 108
MonotonicityIncreasing
2023-12-11T03:12:30.933849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 18
27.7%
3460000 15
23.1%
3420000 10
15.4%
3410000 9
13.8%
3440000 4
 
6.2%
3430000 3
 
4.6%
3470000 3
 
4.6%
3480000 3
 
4.6%
ValueCountFrequency (%)
3410000 9
13.8%
3420000 10
15.4%
3430000 3
 
4.6%
3440000 4
 
6.2%
3450000 18
27.7%
3460000 15
23.1%
3470000 3
 
4.6%
3480000 3
 
4.6%
ValueCountFrequency (%)
3480000 3
 
4.6%
3470000 3
 
4.6%
3460000 15
23.1%
3450000 18
27.7%
3440000 4
 
6.2%
3430000 3
 
4.6%
3420000 10
15.4%
3410000 9
13.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4429231 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:31.161442image/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 percentile3.47 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.0594529 × 1015
Coefficient of variation (CV)0.0059816988
Kurtosis-1.0450831
Mean3.4429231 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.28544181
Sum3.932256 × 1018
Variance4.2413462 × 1030
MonotonicityNot monotonic
2023-12-11T03:12:31.411840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.5%
346000001320170001 1
 
1.5%
345000001320190001 1
 
1.5%
345000001320160001 1
 
1.5%
345000001320170001 1
 
1.5%
345000001320180005 1
 
1.5%
345000001320180004 1
 
1.5%
345000001320180003 1
 
1.5%
345000001320180002 1
 
1.5%
345000001320180001 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
341000001319790001 1
1.5%
341000001320120001 1
1.5%
341000001320150001 1
1.5%
341000001320150002 1
1.5%
341000001320160001 1
1.5%
341000001320180001 1
1.5%
341000001320180002 1
1.5%
341000001320200001 1
1.5%
341000001320210001 1
1.5%
342000001320120001 1
1.5%
ValueCountFrequency (%)
348000001320200001 1
1.5%
348000001320180002 1
1.5%
348000001320180001 1
1.5%
347000001320180003 1
1.5%
347000001320180002 1
1.5%
347000001320180001 1
1.5%
346000001320200001 1
1.5%
346000001320190002 1
1.5%
346000001320190001 1
1.5%
346000001320180008 1
1.5%

인허가일자
Real number (ℝ)

Distinct48
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20171377
Minimum19790411
Maximum20210113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:31.677103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20122877
Q120171221
median20180608
Q320190329
95-th percentile20200806
Maximum20210113
Range419702
Interquartile range (IQR)19108

Descriptive statistics

Standard deviation52096.559
Coefficient of variation (CV)0.0025826972
Kurtosis46.014874
Mean20171377
Median Absolute Deviation (MAD)9696
Skewness-6.3266104
Sum1.3111395 × 109
Variance2.7140515 × 109
MonotonicityNot monotonic
2023-12-11T03:12:31.893503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20180605 4
 
6.2%
20180529 4
 
6.2%
20180614 4
 
6.2%
20180607 4
 
6.2%
20180611 3
 
4.6%
20180608 3
 
4.6%
20150721 2
 
3.1%
20120828 1
 
1.5%
20190605 1
 
1.5%
20160323 1
 
1.5%
Other values (38) 38
58.5%
ValueCountFrequency (%)
19790411 1
1.5%
20120614 1
1.5%
20120828 1
1.5%
20121016 1
1.5%
20130321 1
1.5%
20131127 1
1.5%
20140106 1
1.5%
20150721 2
3.1%
20160125 1
1.5%
20160323 1
1.5%
ValueCountFrequency (%)
20210113 1
1.5%
20201224 1
1.5%
20200914 1
1.5%
20200901 1
1.5%
20200424 1
1.5%
20200420 1
1.5%
20200331 1
1.5%
20200304 1
1.5%
20200203 1
1.5%
20200113 1
1.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
59 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
90.8%
3 6
 
9.2%

Length

2023-12-11T03:12:32.093832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:32.245353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
90.8%
3 6
 
9.2%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업/정상
59 
폐업
6 

Length

Max length5
Median length5
Mean length4.7230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 59
90.8%
폐업 6
 
9.2%

Length

2023-12-11T03:12:32.403061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:32.568662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 59
90.8%
폐업 6
 
9.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
59 
2
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
90.8%
2 6
 
9.2%

Length

2023-12-11T03:12:32.731718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:32.870806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
90.8%
2 6
 
9.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
정상
59 
폐업
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 59
90.8%
폐업 6
 
9.2%

Length

2023-12-11T03:12:33.048624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:33.193759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 59
90.8%
폐업 6
 
9.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing59
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean20190347
Minimum20160930
Maximum20210210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:33.319878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160930
5-th percentile20165780
Q120182775
median20190206
Q320205227
95-th percentile20210208
Maximum20210210
Range49280
Interquartile range (IQR)22452

Descriptive statistics

Standard deviation18732.212
Coefficient of variation (CV)0.00092778055
Kurtosis-0.16706119
Mean20190347
Median Absolute Deviation (MAD)14935.5
Skewness-0.49293844
Sum1.2114208 × 108
Variance3.5089575 × 108
MonotonicityNot monotonic
2023-12-11T03:12:33.479901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20160930 1
 
1.5%
20210201 1
 
1.5%
20190109 1
 
1.5%
20210210 1
 
1.5%
20190304 1
 
1.5%
20180330 1
 
1.5%
(Missing) 59
90.8%
ValueCountFrequency (%)
20160930 1
1.5%
20180330 1
1.5%
20190109 1
1.5%
20190304 1
1.5%
20210201 1
1.5%
20210210 1
1.5%
ValueCountFrequency (%)
20210210 1
1.5%
20210201 1
1.5%
20190304 1
1.5%
20190109 1
1.5%
20180330 1
1.5%
20160930 1
1.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지전화
Text

MISSING 

Distinct48
Distinct (%)96.0%
Missing15
Missing (%)23.1%
Memory size652.0 B
2023-12-11T03:12:33.790023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.94
Min length7

Characters and Unicode

Total characters547
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

Unique46 ?
Unique (%)92.0%

Sample

1st row053-424-0042
2nd row425-7323
3rd row424-9944
4th row422-4327
5th row557-9044
ValueCountFrequency (%)
0536262605 2
 
4.0%
422-4327 2
 
4.0%
0537638866 1
 
2.0%
053-424-0042 1
 
2.0%
7565033 1
 
2.0%
053-604-5640 1
 
2.0%
0533812285 1
 
2.0%
053-255-4317 1
 
2.0%
053-324-4313 1
 
2.0%
053-356-1117 1
 
2.0%
Other values (38) 38
76.0%
2023-12-11T03:12:34.267282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 88
16.1%
5 84
15.4%
- 74
13.5%
0 68
12.4%
4 46
8.4%
2 45
8.2%
7 44
8.0%
6 37
6.8%
8 25
 
4.6%
1 22
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 473
86.5%
Dash Punctuation 74
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 88
18.6%
5 84
17.8%
0 68
14.4%
4 46
9.7%
2 45
9.5%
7 44
9.3%
6 37
7.8%
8 25
 
5.3%
1 22
 
4.7%
9 14
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 88
16.1%
5 84
15.4%
- 74
13.5%
0 68
12.4%
4 46
8.4%
2 45
8.2%
7 44
8.0%
6 37
6.8%
8 25
 
4.6%
1 22
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 88
16.1%
5 84
15.4%
- 74
13.5%
0 68
12.4%
4 46
8.4%
2 45
8.2%
7 44
8.0%
6 37
6.8%
8 25
 
4.6%
1 22
 
4.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)93.8%
Missing49
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean316.59813
Minimum0
Maximum1127.63
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:34.552109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q172.78
median234.74
Q3438.8
95-th percentile1029.2225
Maximum1127.63
Range1127.63
Interquartile range (IQR)366.02

Descriptive statistics

Standard deviation326.74906
Coefficient of variation (CV)1.0320625
Kurtosis2.2056768
Mean316.59813
Median Absolute Deviation (MAD)177.18
Skewness1.6206827
Sum5065.57
Variance106764.95
MonotonicityNot monotonic
2023-12-11T03:12:34.782340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
441.2 2
 
3.1%
438.0 1
 
1.5%
211.3 1
 
1.5%
0.0 1
 
1.5%
66.12 1
 
1.5%
113.74 1
 
1.5%
258.18 1
 
1.5%
262.03 1
 
1.5%
996.42 1
 
1.5%
49.0 1
 
1.5%
Other values (5) 5
 
7.7%
(Missing) 49
75.4%
ValueCountFrequency (%)
0.0 1
1.5%
48.0 1
1.5%
49.0 1
1.5%
66.12 1
1.5%
75.0 1
1.5%
113.74 1
1.5%
207.75 1
1.5%
211.3 1
1.5%
258.18 1
1.5%
262.03 1
1.5%
ValueCountFrequency (%)
1127.63 1
1.5%
996.42 1
1.5%
441.2 2
3.1%
438.0 1
1.5%
330.0 1
1.5%
262.03 1
1.5%
258.18 1
1.5%
211.3 1
1.5%
207.75 1
1.5%
113.74 1
1.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지전체주소
Text

MISSING 

Distinct60
Distinct (%)95.2%
Missing2
Missing (%)3.1%
Memory size652.0 B
2023-12-11T03:12:35.332304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length24.619048
Min length17

Characters and Unicode

Total characters1551
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 동산동 18-1번지 3층
2nd row대구광역시 중구 삼덕동2가 210-1번지 진석타워 9층 512호
3rd row대구광역시 중구 삼덕동2가 210-1번지 진석타워 9층 512호
4th row대구광역시 중구 동인동3가 370-1번지
5th row대구광역시 중구 대봉동 715-15번지
ValueCountFrequency (%)
대구광역시 63
21.7%
북구 18
 
6.2%
수성구 13
 
4.5%
동구 10
 
3.4%
산격동 9
 
3.1%
중구 9
 
3.1%
신천동 4
 
1.4%
남구 4
 
1.4%
대명동 4
 
1.4%
시지동 4
 
1.4%
Other values (126) 152
52.4%
2023-12-11T03:12:36.129611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
18.2%
구 126
 
8.1%
1 79
 
5.1%
동 78
 
5.0%
대 73
 
4.7%
시 68
 
4.4%
지 67
 
4.3%
역 63
 
4.1%
광 63
 
4.1%
번 57
 
3.7%
Other values (114) 594
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
57.7%
Decimal Number 316
 
20.4%
Space Separator 283
 
18.2%
Dash Punctuation 51
 
3.3%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 126
14.1%
동 78
 
8.7%
대 73
 
8.2%
시 68
 
7.6%
지 67
 
7.5%
역 63
 
7.0%
광 63
 
7.0%
번 57
 
6.4%
성 19
 
2.1%
산 19
 
2.1%
Other values (97) 262
29.3%
Decimal Number
ValueCountFrequency (%)
1 79
25.0%
2 51
16.1%
0 31
 
9.8%
5 27
 
8.5%
9 24
 
7.6%
4 24
 
7.6%
7 22
 
7.0%
6 21
 
6.6%
3 21
 
6.6%
8 16
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
57.7%
Common 653
42.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 126
14.1%
동 78
 
8.7%
대 73
 
8.2%
시 68
 
7.6%
지 67
 
7.5%
역 63
 
7.0%
광 63
 
7.0%
번 57
 
6.4%
성 19
 
2.1%
산 19
 
2.1%
Other values (97) 262
29.3%
Common
ValueCountFrequency (%)
283
43.3%
1 79
 
12.1%
2 51
 
7.8%
- 51
 
7.8%
0 31
 
4.7%
5 27
 
4.1%
9 24
 
3.7%
4 24
 
3.7%
7 22
 
3.4%
6 21
 
3.2%
Other values (4) 40
 
6.1%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
57.7%
ASCII 656
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
43.1%
1 79
 
12.0%
2 51
 
7.8%
- 51
 
7.8%
0 31
 
4.7%
5 27
 
4.1%
9 24
 
3.7%
4 24
 
3.7%
7 22
 
3.4%
6 21
 
3.2%
Other values (7) 43
 
6.6%
Hangul
ValueCountFrequency (%)
구 126
14.1%
동 78
 
8.7%
대 73
 
8.2%
시 68
 
7.6%
지 67
 
7.5%
역 63
 
7.0%
광 63
 
7.0%
번 57
 
6.4%
성 19
 
2.1%
산 19
 
2.1%
Other values (97) 262
29.3%

도로명전체주소
Text

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T03:12:36.758191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length29.076923
Min length21

Characters and Unicode

Total characters1890
Distinct characters153
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st row대구광역시 중구 국채보상로 487, 3층 (동산동)
2nd row대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 9층 512호)
3rd row대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 9층 512호)
4th row대구광역시 중구 태평로 300-1 (동인동3가, 현대문화일보)
5th row대구광역시 중구 대봉로 278 (대봉동)
ValueCountFrequency (%)
대구광역시 65
 
16.8%
북구 18
 
4.7%
수성구 15
 
3.9%
동구 10
 
2.6%
산격동 9
 
2.3%
중구 9
 
2.3%
1층 6
 
1.6%
2층 5
 
1.3%
달구벌대로 5
 
1.3%
시지동 5
 
1.3%
Other values (182) 239
61.9%
2023-12-11T03:12:37.606865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
17.0%
구 136
 
7.2%
동 95
 
5.0%
대 91
 
4.8%
시 72
 
3.8%
1 71
 
3.8%
로 67
 
3.5%
역 65
 
3.4%
광 65
 
3.4%
) 62
 
3.3%
Other values (143) 844
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1103
58.4%
Space Separator 322
 
17.0%
Decimal Number 289
 
15.3%
Close Punctuation 62
 
3.3%
Open Punctuation 62
 
3.3%
Other Punctuation 37
 
2.0%
Dash Punctuation 11
 
0.6%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 136
 
12.3%
동 95
 
8.6%
대 91
 
8.3%
시 72
 
6.5%
로 67
 
6.1%
역 65
 
5.9%
광 65
 
5.9%
성 27
 
2.4%
북 20
 
1.8%
지 20
 
1.8%
Other values (124) 445
40.3%
Decimal Number
ValueCountFrequency (%)
1 71
24.6%
2 51
17.6%
3 35
12.1%
0 32
11.1%
5 21
 
7.3%
4 20
 
6.9%
6 18
 
6.2%
7 16
 
5.5%
8 14
 
4.8%
9 11
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
M 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1103
58.4%
Common 784
41.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 136
 
12.3%
동 95
 
8.6%
대 91
 
8.3%
시 72
 
6.5%
로 67
 
6.1%
역 65
 
5.9%
광 65
 
5.9%
성 27
 
2.4%
북 20
 
1.8%
지 20
 
1.8%
Other values (124) 445
40.3%
Common
ValueCountFrequency (%)
322
41.1%
1 71
 
9.1%
) 62
 
7.9%
( 62
 
7.9%
2 51
 
6.5%
, 37
 
4.7%
3 35
 
4.5%
0 32
 
4.1%
5 21
 
2.7%
4 20
 
2.6%
Other values (6) 71
 
9.1%
Latin
ValueCountFrequency (%)
P 1
33.3%
M 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1103
58.4%
ASCII 787
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
40.9%
1 71
 
9.0%
) 62
 
7.9%
( 62
 
7.9%
2 51
 
6.5%
, 37
 
4.7%
3 35
 
4.4%
0 32
 
4.1%
5 21
 
2.7%
4 20
 
2.5%
Other values (9) 74
 
9.4%
Hangul
ValueCountFrequency (%)
구 136
 
12.3%
동 95
 
8.6%
대 91
 
8.3%
시 72
 
6.5%
로 67
 
6.1%
역 65
 
5.9%
광 65
 
5.9%
성 27
 
2.4%
북 20
 
1.8%
지 20
 
1.8%
Other values (124) 445
40.3%

도로명우편번호
Real number (ℝ)

Distinct56
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41866.954
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:37.854370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41207.8
Q141515
median41913
Q342218
95-th percentile42813.6
Maximum43018
Range1982
Interquartile range (IQR)703

Descriptive statistics

Standard deviation494.55809
Coefficient of variation (CV)0.011812612
Kurtosis-0.47001398
Mean41866.954
Median Absolute Deviation (MAD)393
Skewness0.44275844
Sum2721352
Variance244587.7
MonotonicityNot monotonic
2023-12-11T03:12:38.105589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 3
 
4.6%
42261 3
 
4.6%
41518 2
 
3.1%
41940 2
 
3.1%
41941 2
 
3.1%
41267 2
 
3.1%
42405 2
 
3.1%
42218 1
 
1.5%
41461 1
 
1.5%
41562 1
 
1.5%
Other values (46) 46
70.8%
ValueCountFrequency (%)
41036 1
1.5%
41077 1
1.5%
41164 1
1.5%
41206 1
1.5%
41215 1
1.5%
41238 1
1.5%
41249 1
1.5%
41256 1
1.5%
41267 2
3.1%
41416 1
1.5%
ValueCountFrequency (%)
43018 1
1.5%
42955 1
1.5%
42915 1
1.5%
42818 1
1.5%
42796 1
1.5%
42609 1
1.5%
42465 1
1.5%
42448 1
1.5%
42405 2
3.1%
42262 1
1.5%

사업장명
Text

Distinct61
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T03:12:38.466951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.1538462
Min length3

Characters and Unicode

Total characters530
Distinct characters148
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

Unique57 ?
Unique (%)87.7%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row주식회사 대구축산
ValueCountFrequency (%)
폴리파크 15
 
15.3%
주식회사 9
 
9.2%
주)포파코 3
 
3.1%
컴패니언 2
 
2.0%
삼아유통 2
 
2.0%
포파코 2
 
2.0%
제이 2
 
2.0%
코메드 2
 
2.0%
폴리파크(polypark 2
 
2.0%
디에스팜 1
 
1.0%
Other values (58) 58
59.2%
2023-12-11T03:12:38.997555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
6.2%
파 26
 
4.9%
점 22
 
4.2%
리 22
 
4.2%
크 21
 
4.0%
폴 20
 
3.8%
주 18
 
3.4%
사 17
 
3.2%
이 13
 
2.5%
) 13
 
2.5%
Other values (138) 325
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
80.0%
Uppercase Letter 41
 
7.7%
Space Separator 33
 
6.2%
Close Punctuation 13
 
2.5%
Open Punctuation 13
 
2.5%
Lowercase Letter 3
 
0.6%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 26
 
6.1%
점 22
 
5.2%
리 22
 
5.2%
크 21
 
5.0%
폴 20
 
4.7%
주 18
 
4.2%
사 17
 
4.0%
이 13
 
3.1%
식 11
 
2.6%
회 11
 
2.6%
Other values (113) 243
57.3%
Uppercase Letter
ValueCountFrequency (%)
O 5
12.2%
I 5
12.2%
N 4
9.8%
P 4
9.8%
A 3
 
7.3%
R 3
 
7.3%
S 3
 
7.3%
B 2
 
4.9%
E 2
 
4.9%
L 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 (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
80.0%
Common 62
 
11.7%
Latin 44
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 26
 
6.1%
점 22
 
5.2%
리 22
 
5.2%
크 21
 
5.0%
폴 20
 
4.7%
주 18
 
4.2%
사 17
 
4.0%
이 13
 
3.1%
식 11
 
2.6%
회 11
 
2.6%
Other values (113) 243
57.3%
Latin
ValueCountFrequency (%)
O 5
11.4%
I 5
11.4%
N 4
 
9.1%
P 4
 
9.1%
A 3
 
6.8%
R 3
 
6.8%
S 3
 
6.8%
B 2
 
4.5%
E 2
 
4.5%
L 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
33
53.2%
) 13
 
21.0%
( 13
 
21.0%
- 1
 
1.6%
; 1
 
1.6%
& 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
80.0%
ASCII 106
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
31.1%
) 13
 
12.3%
( 13
 
12.3%
O 5
 
4.7%
I 5
 
4.7%
N 4
 
3.8%
P 4
 
3.8%
A 3
 
2.8%
R 3
 
2.8%
S 3
 
2.8%
Other values (15) 20
18.9%
Hangul
ValueCountFrequency (%)
파 26
 
6.1%
점 22
 
5.2%
리 22
 
5.2%
크 21
 
5.0%
폴 20
 
4.7%
주 18
 
4.2%
사 17
 
4.0%
이 13
 
3.1%
식 11
 
2.6%
회 11
 
2.6%
Other values (113) 243
57.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0180139 × 1013
Minimum2.0120614 × 1013
Maximum2.021021 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:39.235211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0142229 × 1013
Q12.0180528 × 1013
median2.0180611 × 1013
Q32.0190605 × 1013
95-th percentile2.02012 × 1013
Maximum2.021021 × 1013
Range8.9596029 × 1010
Interquartile range (IQR)1.007694 × 1010

Descriptive statistics

Standard deviation1.9020065 × 1010
Coefficient of variation (CV)0.00094251406
Kurtosis2.8803736
Mean2.0180139 × 1013
Median Absolute Deviation (MAD)9.497995 × 109
Skewness-1.4190326
Sum1.311709 × 1015
Variance3.6176287 × 1020
MonotonicityNot monotonic
2023-12-11T03:12:39.453048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.5%
20170703153603 1
 
1.5%
20190605102054 1
 
1.5%
20160323171659 1
 
1.5%
20171108165439 1
 
1.5%
20180614174352 1
 
1.5%
20180614174117 1
 
1.5%
20180614173823 1
 
1.5%
20180614173111 1
 
1.5%
20180226090247 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
20120614131152 1
1.5%
20120828094312 1
1.5%
20121016110802 1
1.5%
20140106104704 1
1.5%
20150721150716 1
1.5%
20150721151747 1
1.5%
20160125114353 1
1.5%
20160323171659 1
1.5%
20160419104757 1
1.5%
20160930135708 1
1.5%
ValueCountFrequency (%)
20210210160402 1
1.5%
20210203141927 1
1.5%
20210113172340 1
1.5%
20201224091825 1
1.5%
20201104175154 1
1.5%
20200901090953 1
1.5%
20200424152544 1
1.5%
20200420103510 1
1.5%
20200331160945 1
1.5%
20200304163812 1
1.5%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
I
58 
U
7 

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 58
89.2%
U 7
 
10.8%

Length

2023-12-11T03:12:39.696851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:39.865645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 58
89.2%
u 7
 
10.8%

데이터갱신일자
Date

Distinct24
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-12 02:40:00
2023-12-11T03:12:40.047734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:12:40.264358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

Distinct59
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344841.27
Minimum331994.27
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:40.933885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331994.27
5-th percentile336321.97
Q1342647.27
median345206.58
Q3346673.03
95-th percentile353019.14
Maximum356611.47
Range24617.204
Interquartile range (IQR)4025.768

Descriptive statistics

Standard deviation4526.0839
Coefficient of variation (CV)0.013125123
Kurtosis1.5972243
Mean344841.27
Median Absolute Deviation (MAD)1825.9108
Skewness-0.32384286
Sum22414682
Variance20485436
MonotonicityNot monotonic
2023-12-11T03:12:41.208206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345793.311978 2
 
3.1%
344309.71562 2
 
3.1%
342236.602185 2
 
3.1%
353019.13771 2
 
3.1%
344912.358902 2
 
3.1%
344686.259338 2
 
3.1%
339628.760658 1
 
1.5%
345660.992342 1
 
1.5%
341094.574634 1
 
1.5%
347040.840981 1
 
1.5%
Other values (49) 49
75.4%
ValueCountFrequency (%)
331994.266957 1
1.5%
332317.0 1
1.5%
335095.041373 1
1.5%
335559.179282 1
1.5%
339373.134791 1
1.5%
339514.103486 1
1.5%
339628.760658 1
1.5%
340194.786718 1
1.5%
340200.70685 1
1.5%
341094.574634 1
1.5%
ValueCountFrequency (%)
356611.471345 1
1.5%
353212.634985 1
1.5%
353171.444006 1
1.5%
353019.13771 2
3.1%
352722.310665 1
1.5%
350685.592287 1
1.5%
348749.748951 1
1.5%
348301.66757 1
1.5%
348073.107864 1
1.5%
347890.197458 1
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct59
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264339.68
Minimum244698
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T03:12:41.447674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile259155.26
Q1261941.55
median264564.23
Q3266778
95-th percentile269977.65
Maximum273217.03
Range28519.03
Interquartile range (IQR)4836.4529

Descriptive statistics

Standard deviation4124.0495
Coefficient of variation (CV)0.015601326
Kurtosis6.976255
Mean264339.68
Median Absolute Deviation (MAD)2622.6819
Skewness-1.5617464
Sum17182079
Variance17007784
MonotonicityNot monotonic
2023-12-11T03:12:41.685482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264564.232699 2
 
3.1%
264309.215111 2
 
3.1%
263098.702086 2
 
3.1%
261926.162918 2
 
3.1%
268253.830253 2
 
3.1%
263958.880864 2
 
3.1%
270836.564701 1
 
1.5%
267409.574785 1
 
1.5%
266771.823922 1
 
1.5%
259111.444544 1
 
1.5%
Other values (49) 49
75.4%
ValueCountFrequency (%)
244698.0 1
1.5%
257163.326287 1
1.5%
257618.088478 1
1.5%
259111.444544 1
1.5%
259330.525763 1
1.5%
259460.119325 1
1.5%
259790.219749 1
1.5%
260134.448701 1
1.5%
260875.577524 1
1.5%
261178.396104 1
1.5%
ValueCountFrequency (%)
273217.030061 1
1.5%
270836.564701 1
1.5%
270282.005962 1
1.5%
270241.487523 1
1.5%
268922.318187 1
1.5%
268773.105736 1
1.5%
268737.493191 1
1.5%
268678.066448 1
1.5%
268573.519631 1
1.5%
268476.874903 1
1.5%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
동물용의료용구판매업
65 

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 65
100.0%

Length

2023-12-11T03:12:41.967730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:42.131752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 65
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
000
51 
L00
14 

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 51
78.5%
L00 14
 
21.5%

Length

2023-12-11T03:12:42.314121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:12:42.502609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 51
78.5%
l00 14
 
21.5%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01동물용의료용구판매업02_03_03_P341000034100000132012000120120828<NA>1영업/정상0정상<NA><NA><NA><NA>053-424-0042438.0<NA>대구광역시 중구 동산동 18-1번지 3층대구광역시 중구 국채보상로 487, 3층 (동산동)41921(주)한국교통정보20120828094312I2018-08-31 23:59:59.0<NA>342983.980987264559.497125동물용의료용구판매업<NA><NA>L00<NA>
12동물용의료용구판매업02_03_03_P341000034100000132015000120150721<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 210-1번지 진석타워 9층 512호대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 9층 512호)41940컴패니언20150721150716I2018-08-31 23:59:59.0<NA>344686.259338263958.880864동물용의료용구판매업<NA><NA>000<NA>
23동물용의료용구판매업02_03_03_P341000034100000132015000220150721<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 210-1번지 진석타워 9층 512호대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 9층 512호)41940컴패니언20150721151747I2018-08-31 23:59:59.0<NA>344686.259338263958.880864동물용의료용구판매업<NA><NA>000<NA>
34동물용의료용구판매업02_03_03_P341000034100000132016000120160419<NA>1영업/정상0정상<NA><NA><NA><NA>425-7323211.3<NA>대구광역시 중구 동인동3가 370-1번지대구광역시 중구 태평로 300-1 (동인동3가, 현대문화일보)41906(주)태영엘에스20160419104757I2018-08-31 23:59:59.0<NA>345337.355564264851.279983동물용의료용구판매업<NA><NA>L00<NA>
45동물용의료용구판매업02_03_03_P341000034100000131979000119790411<NA>3폐업2폐업20160930<NA><NA><NA>424-99440.0<NA>대구광역시 중구 대봉동 715-15번지대구광역시 중구 대봉로 278 (대봉동)41950주식회사 대구축산20160930135708I2018-08-31 23:59:59.0<NA>344432.563324263763.687867동물용의료용구판매업<NA><NA>000<NA>
56동물용의료용구판매업02_03_03_P341000034100000132018000220180529<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 59-1번지대구광역시 중구 동성로6길 60 (공평동)41941폴리파크(POLYPARK)20180529170607I2018-08-31 23:59:59.0<NA>344309.71562264309.215111동물용의료용구판매업<NA><NA>000<NA>
67동물용의료용구판매업02_03_03_P341000034100000132020000120201224<NA>1영업/정상0정상<NA><NA><NA><NA>557-9044<NA><NA>대구광역시 중구 동성로2가 88-25 1637호대구광역시 중구 국채보상로 586, 1637호 (동성로2가)41937에스엠진단20201224091825I2020-12-26 00:23:21.0<NA>343959.823762264529.39356동물용의료용구판매업<NA><NA>000<NA>
78동물용의료용구판매업02_03_03_P341000034100000132021000120210113<NA>1영업/정상0정상<NA><NA><NA><NA>428-2020<NA><NA>대구광역시 중구 동성로2가 40-9대구광역시 중구 동성로 50-1, 1층 (동성로2가)41913삼아유통20210113172340I2021-01-15 00:23:04.0<NA>344053.360694264627.11698동물용의료용구판매업<NA><NA>000<NA>
89동물용의료용구판매업02_03_03_P341000034100000132018000120180529<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 59-1번지대구광역시 중구 동성로6길 60 (공평동)41941폴리파크(POLYPARK)20180529165717I2018-08-31 23:59:59.0<NA>344309.71562264309.215111동물용의료용구판매업<NA><NA>000<NA>
910동물용의료용구판매업02_03_03_P342000034200000132019000120190329<NA>1영업/정상0정상<NA><NA><NA><NA>053-217-7147<NA><NA>대구광역시 동구 신암동 207-20번지대구광역시 동구 신암남로 72-1 (신암동)41215인투시아(INTOSIA)20190329114628I2019-03-31 02:20:09.0<NA>346573.793062265561.515922동물용의료용구판매업<NA><NA>000<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
5556동물용의료용구판매업02_03_03_P346000034600000132018000520180605<NA>1영업/정상0정상<NA><NA><NA><NA>053-767-4317<NA><NA>대구광역시 수성구 두산동 15-5번지대구광역시 수성구 청수로 112 (두산동)42169(주)포파크 두산지점20180605165058I2018-08-31 23:59:59.0<NA>346333.703805261178.396104동물용의료용구판매업<NA><NA>L00<NA>
5657동물용의료용구판매업02_03_03_P346000034600000132018000420180605<NA>1영업/정상0정상<NA><NA><NA><NA>053-753-4313<NA><NA>대구광역시 수성구 범어동 222-9번지대구광역시 수성구 동원로 7 (범어동)42031(주)포파코 범어지점20180605164752I2018-08-31 23:59:59.0<NA>348073.107864263418.219196동물용의료용구판매업<NA><NA>L00<NA>
5758동물용의료용구판매업02_03_03_P346000034600000132018000320180605<NA>1영업/정상0정상<NA><NA><NA><NA>053-793-0279<NA><NA>대구광역시 수성구 시지동 230-1번지대구광역시 수성구 달구벌대로 3054 (시지동)42251폴리파크 시지점20180605162034I2018-08-31 23:59:59.0<NA>352722.310665261632.023405동물용의료용구판매업<NA><NA>000<NA>
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