Overview

Dataset statistics

Number of variables32
Number of observations24
Missing cells176
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory281.5 B

Variable types

Numeric10
Categorical11
Unsupported6
Text4
DateTime1

Dataset

Description22년03월_6270000_대구광역시_02_03_04_P_동물용의약품도매상
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092677&dataSetDetailId=DDI_0000092717&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
재개업일자 is highly imbalanced (52.7%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 15 (62.5%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
소재지전화 has 6 (25.0%) missing valuesMissing
소재지면적 has 5 (20.8%) missing valuesMissing
소재지우편번호 has 24 (100.0%) missing valuesMissing
소재지전체주소 has 2 (8.3%) missing valuesMissing
도로명우편번호 has 2 (8.3%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.2%) missing valuesMissing
좌표정보(Y) has 1 (4.2%) missing valuesMissing
상세업무구분명 has 24 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
도로명전체주소 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
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 6 (25.0%) zerosZeros

Reproduction

Analysis started2024-04-17 11:39:46.406063
Analysis finished2024-04-17 11:39:46.694931
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:46.746601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-04-17T20:39:46.850370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
동물용의약품도매상
24 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의약품도매상 24
100.0%

Length

2024-04-17T20:39:46.957263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:47.031665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의약품도매상 24
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
02_03_04_P
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_04_P
2nd row02_03_04_P
3rd row02_03_04_P
4th row02_03_04_P
5th row02_03_04_P

Common Values

ValueCountFrequency (%)
02_03_04_P 24
100.0%

Length

2024-04-17T20:39:47.112798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:47.188013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_04_p 24
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444583.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:47.253338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3445000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation26536.139
Coefficient of variation (CV)0.0077037297
Kurtosis-1.6447754
Mean3444583.3
Median Absolute Deviation (MAD)25000
Skewness0.096447604
Sum82670000
Variance7.0416667 × 108
MonotonicityIncreasing
2024-04-17T20:39:47.355034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3420000 7
29.2%
3480000 5
20.8%
3410000 3
12.5%
3460000 3
12.5%
3440000 2
 
8.3%
3450000 2
 
8.3%
3470000 2
 
8.3%
ValueCountFrequency (%)
3410000 3
12.5%
3420000 7
29.2%
3440000 2
 
8.3%
3450000 2
 
8.3%
3460000 3
12.5%
3470000 2
 
8.3%
3480000 5
20.8%
ValueCountFrequency (%)
3480000 5
20.8%
3470000 2
 
8.3%
3460000 3
12.5%
3450000 2
 
8.3%
3440000 2
 
8.3%
3420000 7
29.2%
3410000 3
12.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4445833 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:47.464282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.42 × 1017
median3.445 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)5 × 1015

Descriptive statistics

Standard deviation2.6536139 × 1015
Coefficient of variation (CV)0.0077037297
Kurtosis-1.6447754
Mean3.4445833 × 1017
Median Absolute Deviation (MAD)2.5 × 1015
Skewness0.096447604
Sum8.267 × 1018
Variance7.0416667 × 1030
MonotonicityNot monotonic
2024-04-17T20:39:47.600491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
341000001220140001 1
 
4.2%
345000001220130001 1
 
4.2%
348000001219970001 1
 
4.2%
348000001220160001 1
 
4.2%
348000001220200001 1
 
4.2%
348000001220030001 1
 
4.2%
348000001220180001 1
 
4.2%
347000001220130001 1
 
4.2%
347000001220210001 1
 
4.2%
346000001220180001 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
341000001220130001 1
4.2%
341000001220130002 1
4.2%
341000001220140001 1
4.2%
342000001220130001 1
4.2%
342000001220130002 1
4.2%
342000001220130003 1
4.2%
342000001220130004 1
4.2%
342000001220140001 1
4.2%
342000001220190001 1
4.2%
342000001220220001 1
4.2%
ValueCountFrequency (%)
348000001220200001 1
4.2%
348000001220180001 1
4.2%
348000001220160001 1
4.2%
348000001220030001 1
4.2%
348000001219970001 1
4.2%
347000001220210001 1
4.2%
347000001220130001 1
4.2%
346000001220180001 1
4.2%
346000001220160001 1
4.2%
346000001220150001 1
4.2%

인허가일자
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090651
Minimum19780617
Maximum20220209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:47.709687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19780617
5-th percentile19841038
Q120030704
median20135916
Q320173512
95-th percentile20209084
Maximum20220209
Range439592
Interquartile range (IQR)142807.5

Descriptive statistics

Standard deviation120495.34
Coefficient of variation (CV)0.0059975827
Kurtosis0.97447114
Mean20090651
Median Absolute Deviation (MAD)50001.5
Skewness-1.29893
Sum4.8217563 × 108
Variance1.4519128 × 1010
MonotonicityNot monotonic
2024-04-17T20:39:47.809911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20140625 2
 
8.3%
19780617 1
 
4.2%
19970527 1
 
4.2%
20160608 1
 
4.2%
20200331 1
 
4.2%
20030805 1
 
4.2%
20180410 1
 
4.2%
20100706 1
 
4.2%
20210629 1
 
4.2%
20180622 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
19780617 1
4.2%
19830527 1
4.2%
19900602 1
4.2%
19970527 1
4.2%
19990510 1
4.2%
20030401 1
4.2%
20030805 1
4.2%
20040903 1
4.2%
20100706 1
4.2%
20120105 1
4.2%
ValueCountFrequency (%)
20220209 1
4.2%
20210629 1
4.2%
20200331 1
4.2%
20191212 1
4.2%
20180622 1
4.2%
20180410 1
4.2%
20171212 1
4.2%
20161207 1
4.2%
20160608 1
4.2%
20160122 1
4.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
15 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
62.5%
3 9
37.5%

Length

2024-04-17T20:39:47.908653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:47.990122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
62.5%
3 9
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
15 
폐업
9 

Length

Max length5
Median length5
Mean length3.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
62.5%
폐업 9
37.5%

Length

2024-04-17T20:39:48.085446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:48.175127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
62.5%
폐업 9
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
15 
2
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
62.5%
2 9
37.5%

Length

2024-04-17T20:39:48.259009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:48.335608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
62.5%
2 9
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
정상
15 
폐업
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 15
62.5%
폐업 9
37.5%

Length

2024-04-17T20:39:48.414961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:48.491907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 15
62.5%
폐업 9
37.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing15
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean20163875
Minimum20130723
Maximum20200218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:48.564440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130723
5-th percentile20130765
Q120140624
median20161208
Q320190128
95-th percentile20196372
Maximum20200218
Range69495
Interquartile range (IQR)49504

Descriptive statistics

Standard deviation27176.538
Coefficient of variation (CV)0.0013477835
Kurtosis-1.8581783
Mean20163875
Median Absolute Deviation (MAD)28920
Skewness0.015449943
Sum1.8147488 × 108
Variance7.385642 × 108
MonotonicityNot monotonic
2024-04-17T20:39:48.658474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20161208 1
 
4.2%
20130723 1
 
4.2%
20190128 1
 
4.2%
20200218 1
 
4.2%
20140624 1
 
4.2%
20180126 1
 
4.2%
20130828 1
 
4.2%
20190603 1
 
4.2%
20150417 1
 
4.2%
(Missing) 15
62.5%
ValueCountFrequency (%)
20130723 1
4.2%
20130828 1
4.2%
20140624 1
4.2%
20150417 1
4.2%
20161208 1
4.2%
20180126 1
4.2%
20190128 1
4.2%
20190603 1
4.2%
20200218 1
4.2%
ValueCountFrequency (%)
20200218 1
4.2%
20190603 1
4.2%
20190128 1
4.2%
20180126 1
4.2%
20161208 1
4.2%
20150417 1
4.2%
20140624 1
4.2%
20130828 1
4.2%
20130723 1
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
20161208
 
1
20190128
 
1
20200218
 
1
20180126
 
1

Length

Max length8
Median length4
Mean length4.8333333
Min length4

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row20161208
2nd row<NA>
3rd row20190128
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
20161208 1
 
4.2%
20190128 1
 
4.2%
20200218 1
 
4.2%
20180126 1
 
4.2%
20190603 1
 
4.2%

Length

2024-04-17T20:39:48.777032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:48.881011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
20161208 1
 
4.2%
20190128 1
 
4.2%
20200218 1
 
4.2%
20180126 1
 
4.2%
20190603 1
 
4.2%

소재지전화
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing6
Missing (%)25.0%
Memory size324.0 B
2024-04-17T20:39:49.030833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.111111
Min length7

Characters and Unicode

Total characters182
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st row053-423-9999
2nd row424-9944
3rd row425-0102
4th row0537624455
5th row080-057-5000
ValueCountFrequency (%)
0534239999 1
 
5.6%
425-0102 1
 
5.6%
381-0044 1
 
5.6%
634-6777 1
 
5.6%
053-635-6699 1
 
5.6%
053-626-6001 1
 
5.6%
053-292-9423~4 1
 
5.6%
7452326 1
 
5.6%
7931350 1
 
5.6%
053-423-9999 1
 
5.6%
Other values (8) 8
44.4%
2024-04-17T20:39:49.316181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
15.4%
- 22
12.1%
5 21
11.5%
3 20
11.0%
4 20
11.0%
9 17
9.3%
2 13
7.1%
6 11
 
6.0%
8 11
 
6.0%
7 10
 
5.5%
Other values (2) 9
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159
87.4%
Dash Punctuation 22
 
12.1%
Math Symbol 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
17.6%
5 21
13.2%
3 20
12.6%
4 20
12.6%
9 17
10.7%
2 13
8.2%
6 11
 
6.9%
8 11
 
6.9%
7 10
 
6.3%
1 8
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
15.4%
- 22
12.1%
5 21
11.5%
3 20
11.0%
4 20
11.0%
9 17
9.3%
2 13
7.1%
6 11
 
6.0%
8 11
 
6.0%
7 10
 
5.5%
Other values (2) 9
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
15.4%
- 22
12.1%
5 21
11.5%
3 20
11.0%
4 20
11.0%
9 17
9.3%
2 13
7.1%
6 11
 
6.0%
8 11
 
6.0%
7 10
 
5.5%
Other values (2) 9
 
4.9%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)73.7%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean97.017895
Minimum0
Maximum330.1
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:49.417948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median82.72
Q3141.86
95-th percentile294.856
Maximum330.1
Range330.1
Interquartile range (IQR)141.86

Descriptive statistics

Standard deviation98.719729
Coefficient of variation (CV)1.0175415
Kurtosis0.56964115
Mean97.017895
Median Absolute Deviation (MAD)82.28
Skewness1.0309018
Sum1843.34
Variance9745.585
MonotonicityNot monotonic
2024-04-17T20:39:49.522213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
25.0%
130.8 1
 
4.2%
93.7 1
 
4.2%
165.0 1
 
4.2%
67.0 1
 
4.2%
203.1 1
 
4.2%
131.14 1
 
4.2%
290.94 1
 
4.2%
152.58 1
 
4.2%
97.26 1
 
4.2%
Other values (4) 4
16.7%
(Missing) 5
20.8%
ValueCountFrequency (%)
0.0 6
25.0%
42.0 1
 
4.2%
57.0 1
 
4.2%
67.0 1
 
4.2%
82.72 1
 
4.2%
93.7 1
 
4.2%
97.26 1
 
4.2%
130.8 1
 
4.2%
131.14 1
 
4.2%
152.58 1
 
4.2%
ValueCountFrequency (%)
330.1 1
4.2%
290.94 1
4.2%
203.1 1
4.2%
165.0 1
4.2%
152.58 1
4.2%
131.14 1
4.2%
130.8 1
4.2%
97.26 1
4.2%
93.7 1
4.2%
82.72 1
4.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지전체주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Memory size324.0 B
2024-04-17T20:39:49.693998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.090909
Min length18

Characters and Unicode

Total characters464
Distinct characters62
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 동인동3가 271-11 2층
2nd row대구광역시 중구 대봉동 715-15
3rd row대구광역시 중구 삼덕동2가 297
4th row대구광역시 동구 효목동 289-3
5th row대구광역시 동구 율암동 1130-3
ValueCountFrequency (%)
대구광역시 22
22.7%
동구 6
 
6.2%
달성군 5
 
5.2%
화원읍 4
 
4.1%
중구 3
 
3.1%
2층 3
 
3.1%
천내리 3
 
3.1%
수성구 2
 
2.1%
달서구 2
 
2.1%
729-4 2
 
2.1%
Other values (41) 45
46.4%
2024-04-17T20:39:49.980742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
20.9%
구 39
 
8.4%
동 24
 
5.2%
1 24
 
5.2%
대 23
 
5.0%
시 22
 
4.7%
역 22
 
4.7%
광 22
 
4.7%
- 19
 
4.1%
2 13
 
2.8%
Other values (52) 159
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
53.7%
Decimal Number 99
 
21.3%
Space Separator 97
 
20.9%
Dash Punctuation 19
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 39
15.7%
동 24
 
9.6%
대 23
 
9.2%
시 22
 
8.8%
역 22
 
8.8%
광 22
 
8.8%
달 7
 
2.8%
성 7
 
2.8%
천 5
 
2.0%
리 5
 
2.0%
Other values (40) 73
29.3%
Decimal Number
ValueCountFrequency (%)
1 24
24.2%
2 13
13.1%
9 13
13.1%
3 13
13.1%
7 9
 
9.1%
5 8
 
8.1%
0 6
 
6.1%
8 6
 
6.1%
4 5
 
5.1%
6 2
 
2.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
53.7%
Common 215
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 39
15.7%
동 24
 
9.6%
대 23
 
9.2%
시 22
 
8.8%
역 22
 
8.8%
광 22
 
8.8%
달 7
 
2.8%
성 7
 
2.8%
천 5
 
2.0%
리 5
 
2.0%
Other values (40) 73
29.3%
Common
ValueCountFrequency (%)
97
45.1%
1 24
 
11.2%
- 19
 
8.8%
2 13
 
6.0%
9 13
 
6.0%
3 13
 
6.0%
7 9
 
4.2%
5 8
 
3.7%
0 6
 
2.8%
8 6
 
2.8%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
53.7%
ASCII 215
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
45.1%
1 24
 
11.2%
- 19
 
8.8%
2 13
 
6.0%
9 13
 
6.0%
3 13
 
6.0%
7 9
 
4.2%
5 8
 
3.7%
0 6
 
2.8%
8 6
 
2.8%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
구 39
15.7%
동 24
 
9.6%
대 23
 
9.2%
시 22
 
8.8%
역 22
 
8.8%
광 22
 
8.8%
달 7
 
2.8%
성 7
 
2.8%
천 5
 
2.0%
리 5
 
2.0%
Other values (40) 73
29.3%

도로명전체주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-17T20:39:50.185790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length25.375
Min length19

Characters and Unicode

Total characters609
Distinct characters91
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 태평로 285, 2층 (동인동3가)
2nd row대구광역시 중구 달구벌대로 2164 (대봉동)
3rd row대구광역시 중구 달구벌대로 2201-6 (삼덕동2가)
4th row대구광역시 동구 동부로 215 (효목동)
5th row대구광역시 동구 혁신대로 94(율암동)
ValueCountFrequency (%)
대구광역시 24
 
18.9%
동구 7
 
5.5%
달성군 5
 
3.9%
2층 4
 
3.1%
화원읍 4
 
3.1%
수성구 3
 
2.4%
신천동 3
 
2.4%
달구벌대로 3
 
2.4%
중구 3
 
2.4%
중앙대로32길 2
 
1.6%
Other values (62) 69
54.3%
2024-04-17T20:39:50.521235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
16.9%
구 49
 
8.0%
대 34
 
5.6%
동 31
 
5.1%
2 26
 
4.3%
광 24
 
3.9%
역 24
 
3.9%
시 24
 
3.9%
로 24
 
3.9%
) 19
 
3.1%
Other values (81) 251
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
59.4%
Space Separator 103
 
16.9%
Decimal Number 94
 
15.4%
Close Punctuation 19
 
3.1%
Open Punctuation 19
 
3.1%
Other Punctuation 8
 
1.3%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 49
 
13.5%
대 34
 
9.4%
동 31
 
8.6%
광 24
 
6.6%
역 24
 
6.6%
시 24
 
6.6%
로 24
 
6.6%
길 11
 
3.0%
달 10
 
2.8%
성 8
 
2.2%
Other values (66) 123
34.0%
Decimal Number
ValueCountFrequency (%)
2 26
27.7%
1 15
16.0%
3 12
12.8%
4 10
 
10.6%
5 7
 
7.4%
6 6
 
6.4%
8 6
 
6.4%
7 4
 
4.3%
9 4
 
4.3%
0 4
 
4.3%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
59.4%
Common 247
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 49
 
13.5%
대 34
 
9.4%
동 31
 
8.6%
광 24
 
6.6%
역 24
 
6.6%
시 24
 
6.6%
로 24
 
6.6%
길 11
 
3.0%
달 10
 
2.8%
성 8
 
2.2%
Other values (66) 123
34.0%
Common
ValueCountFrequency (%)
103
41.7%
2 26
 
10.5%
) 19
 
7.7%
( 19
 
7.7%
1 15
 
6.1%
3 12
 
4.9%
4 10
 
4.0%
, 8
 
3.2%
5 7
 
2.8%
6 6
 
2.4%
Other values (5) 22
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
59.4%
ASCII 247
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
41.7%
2 26
 
10.5%
) 19
 
7.7%
( 19
 
7.7%
1 15
 
6.1%
3 12
 
4.9%
4 10
 
4.0%
, 8
 
3.2%
5 7
 
2.8%
6 6
 
2.4%
Other values (5) 22
 
8.9%
Hangul
ValueCountFrequency (%)
구 49
 
13.5%
대 34
 
9.4%
동 31
 
8.6%
광 24
 
6.6%
역 24
 
6.6%
시 24
 
6.6%
로 24
 
6.6%
길 11
 
3.0%
달 10
 
2.8%
성 8
 
2.2%
Other values (66) 123
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean42018.364
Minimum41029
Maximum42962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:50.641670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41029
5-th percentile41059.3
Q141313
median42001
Q342656
95-th percentile42955.95
Maximum42962
Range1933
Interquartile range (IQR)1343

Descriptive statistics

Standard deviation699.16416
Coefficient of variation (CV)0.016639491
Kurtosis-1.4440812
Mean42018.364
Median Absolute Deviation (MAD)737
Skewness-0.012189543
Sum924404
Variance488830.53
MonotonicityNot monotonic
2024-04-17T20:39:50.768923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
42425 2
 
8.3%
42277 1
 
4.2%
42956 1
 
4.2%
42955 1
 
4.2%
42948 1
 
4.2%
42962 1
 
4.2%
42819 1
 
4.2%
42733 1
 
4.2%
42175 1
 
4.2%
42052 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
41029 1
4.2%
41059 1
4.2%
41065 1
4.2%
41230 1
4.2%
41242 1
4.2%
41259 1
4.2%
41475 1
4.2%
41516 1
4.2%
41904 1
4.2%
41948 1
4.2%
ValueCountFrequency (%)
42962 1
4.2%
42956 1
4.2%
42955 1
4.2%
42948 1
4.2%
42819 1
4.2%
42733 1
4.2%
42425 2
8.3%
42277 1
4.2%
42175 1
4.2%
42052 1
4.2%

사업장명
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-17T20:39:50.930405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9.5
Mean length7.125
Min length3

Characters and Unicode

Total characters171
Distinct characters65
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

Unique20 ?
Unique (%)83.3%

Sample

1st row미래플러스팜
2nd row주식회사 대구축산
3rd row주식회사 대구애니멀
4th row신라축산약품
5th row경수약품(주)
ValueCountFrequency (%)
주식회사 4
 
13.8%
미래플러스팜 2
 
6.9%
경수약품(주 2
 
6.9%
주)우일축산약품 1
 
3.4%
유진f&p 1
 
3.4%
우리축산약품 1
 
3.4%
홍익메디케어 1
 
3.4%
계명축산약품상사 1
 
3.4%
신우동물약품 1
 
3.4%
도은약품 1
 
3.4%
Other values (14) 14
48.3%
2024-04-17T20:39:51.205931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 11
 
6.4%
품 11
 
6.4%
주 9
 
5.3%
팜 8
 
4.7%
사 6
 
3.5%
( 6
 
3.5%
) 6
 
3.5%
산 5
 
2.9%
스 5
 
2.9%
축 5
 
2.9%
Other values (55) 99
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
87.1%
Open Punctuation 6
 
3.5%
Close Punctuation 6
 
3.5%
Space Separator 5
 
2.9%
Uppercase Letter 4
 
2.3%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 11
 
7.4%
품 11
 
7.4%
주 9
 
6.0%
팜 8
 
5.4%
사 6
 
4.0%
산 5
 
3.4%
스 5
 
3.4%
축 5
 
3.4%
동 4
 
2.7%
식 4
 
2.7%
Other values (47) 81
54.4%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
P 1
25.0%
H 1
25.0%
J 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
87.1%
Common 18
 
10.5%
Latin 4
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 11
 
7.4%
품 11
 
7.4%
주 9
 
6.0%
팜 8
 
5.4%
사 6
 
4.0%
산 5
 
3.4%
스 5
 
3.4%
축 5
 
3.4%
동 4
 
2.7%
식 4
 
2.7%
Other values (47) 81
54.4%
Common
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
5
27.8%
& 1
 
5.6%
Latin
ValueCountFrequency (%)
F 1
25.0%
P 1
25.0%
H 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
87.1%
ASCII 22
 
12.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 11
 
7.4%
품 11
 
7.4%
주 9
 
6.0%
팜 8
 
5.4%
사 6
 
4.0%
산 5
 
3.4%
스 5
 
3.4%
축 5
 
3.4%
동 4
 
2.7%
식 4
 
2.7%
Other values (47) 81
54.4%
ASCII
ValueCountFrequency (%)
( 6
27.3%
) 6
27.3%
5
22.7%
F 1
 
4.5%
& 1
 
4.5%
P 1
 
4.5%
H 1
 
4.5%
J 1
 
4.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178078 × 1013
Minimum2.0130226 × 1013
Maximum2.0220331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:51.319530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130226 × 1013
5-th percentile2.013074 × 1013
Q12.0157845 × 1013
median2.0185318 × 1013
Q32.0200264 × 1013
95-th percentile2.0220194 × 1013
Maximum2.0220331 × 1013
Range9.0105042 × 1010
Interquartile range (IQR)4.2419289 × 1010

Descriptive statistics

Standard deviation2.8965834 × 1010
Coefficient of variation (CV)0.00143551
Kurtosis-1.0226279
Mean2.0178078 × 1013
Median Absolute Deviation (MAD)2.4110489 × 1010
Skewness-0.24965047
Sum4.8427388 × 1014
Variance8.3901952 × 1020
MonotonicityNot monotonic
2024-04-17T20:39:51.420241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20161208164541 1
 
4.2%
20130828165713 1
 
4.2%
20150417130840 1
 
4.2%
20190603084513 1
 
4.2%
20200402102853 1
 
4.2%
20180508162833 1
 
4.2%
20200814153500 1
 
4.2%
20191112173659 1
 
4.2%
20210630090640 1
 
4.2%
20191112173257 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
20130226113454 1
4.2%
20130724084344 1
4.2%
20130828165713 1
4.2%
20140624112726 1
4.2%
20150417130840 1
4.2%
20151013110245 1
4.2%
20160122100420 1
4.2%
20161207174605 1
4.2%
20161208164541 1
4.2%
20171010183928 1
4.2%
ValueCountFrequency (%)
20220331155523 1
4.2%
20220209133637 1
4.2%
20220105095849 1
4.2%
20210630090640 1
4.2%
20200814153500 1
4.2%
20200402102853 1
4.2%
20200218154538 1
4.2%
20191112173659 1
4.2%
20191112173257 1
4.2%
20190603084513 1
4.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
14 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 14
58.3%
U 10
41.7%

Length

2024-04-17T20:39:51.537856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:51.627606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
58.3%
u 10
41.7%

데이터갱신일자
Date

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2022-04-02 02:40:00
2024-04-17T20:39:51.718822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:39:51.805102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean343438.55
Minimum326593.52
Maximum354632.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:51.893507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326593.52
5-th percentile334988.92
Q1339916.99
median344839.82
Q3346776.86
95-th percentile353410.97
Maximum354632.29
Range28038.769
Interquartile range (IQR)6859.863

Descriptive statistics

Standard deviation6483.2183
Coefficient of variation (CV)0.018877375
Kurtosis0.86738151
Mean343438.55
Median Absolute Deviation (MAD)2735.385
Skewness-0.72805818
Sum7899086.6
Variance42032120
MonotonicityNot monotonic
2024-04-17T20:39:51.984457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
343742.997351 2
 
8.3%
345186.291889 1
 
4.2%
354632.285747 1
 
4.2%
326593.516994 1
 
4.2%
335127.395787 1
 
4.2%
335559.179282 1
 
4.2%
334973.528926 1
 
4.2%
335763.069434 1
 
4.2%
340688.778067 1
 
4.2%
339145.209362 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
326593.516994 1
4.2%
334973.528926 1
4.2%
335127.395787 1
4.2%
335559.179282 1
4.2%
335763.069434 1
4.2%
339145.209362 1
4.2%
340688.778067 1
4.2%
343742.997351 2
8.3%
344255.825755 1
4.2%
344432.563324 1
4.2%
ValueCountFrequency (%)
354632.285747 1
4.2%
353928.883617 1
4.2%
348749.748951 1
4.2%
347885.411478 1
4.2%
347575.200392 1
4.2%
346781.513059 1
4.2%
346772.20028 1
4.2%
346531.250062 1
4.2%
346185.188189 1
4.2%
345993.750889 1
4.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean263061.71
Minimum256609.25
Maximum270277.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-17T20:39:52.078266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256609.25
5-th percentile257092.29
Q1260531.56
median263763.69
Q3265075.67
95-th percentile269557.08
Maximum270277.25
Range13668.004
Interquartile range (IQR)4544.1098

Descriptive statistics

Standard deviation3935.0817
Coefficient of variation (CV)0.014958778
Kurtosis-0.60144276
Mean263061.71
Median Absolute Deviation (MAD)2644.0677
Skewness-0.036549545
Sum6050419.3
Variance15484868
MonotonicityNot monotonic
2024-04-17T20:39:52.174178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
261969.606805 2
 
8.3%
264869.767109 1
 
4.2%
261119.620158 1
 
4.2%
265281.571088 1
 
4.2%
256609.247265 1
 
4.2%
257163.326287 1
 
4.2%
257173.967142 1
 
4.2%
257084.39453 1
 
4.2%
259706.28798 1
 
4.2%
260522.71227 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
256609.247265 1
4.2%
257084.39453 1
4.2%
257163.326287 1
4.2%
257173.967142 1
4.2%
259706.28798 1
4.2%
260522.71227 1
4.2%
260540.406237 1
4.2%
261119.620158 1
4.2%
261969.606805 2
8.3%
263761.316383 1
4.2%
ValueCountFrequency (%)
270277.250975 1
4.2%
269663.478893 1
4.2%
268599.526533 1
4.2%
266641.633672 1
4.2%
265600.980241 1
4.2%
265281.571088 1
4.2%
264869.767109 1
4.2%
264851.186303 1
4.2%
264726.565601 1
4.2%
264355.534342 1
4.2%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
동물용의약품도매상
24 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의약품도매상 24
100.0%

Length

2024-04-17T20:39:52.279166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:52.358654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의약품도매상 24
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
000
15 
L00
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 15
62.5%
L00 9
37.5%

Length

2024-04-17T20:39:52.437847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:52.515654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 15
62.5%
l00 9
37.5%

총종업원수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0
3 

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-04-17T20:39:52.602893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:39:52.689368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
01동물용의약품도매상02_03_04_P341000034100000122014000120140625<NA>3폐업2폐업20161208<NA><NA>20161208053-423-9999130.8<NA>대구광역시 중구 동인동3가 271-11 2층대구광역시 중구 태평로 285, 2층 (동인동3가)41904미래플러스팜20161208164541I2018-08-31 23:59:59.0<NA>345186.291889264869.767109동물용의약품도매상<NA>000<NA>
12동물용의약품도매상02_03_04_P341000034100000122013000119780617<NA>3폐업2폐업20130723<NA><NA><NA>424-994493.7<NA>대구광역시 중구 대봉동 715-15대구광역시 중구 달구벌대로 2164 (대봉동)41950주식회사 대구축산20130724084344I2018-08-31 23:59:59.0<NA>344432.563324263763.687867동물용의약품도매상<NA>000<NA>
23동물용의약품도매상02_03_04_P341000034100000122013000219900602<NA>3폐업2폐업20190128<NA><NA>20190128425-01020.0<NA>대구광역시 중구 삼덕동2가 297대구광역시 중구 달구벌대로 2201-6 (삼덕동2가)41948주식회사 대구애니멀20190128154652U2019-01-30 02:40:00.0<NA>344839.815361263761.316383동물용의약품도매상<NA>L00<NA>
34동물용의약품도매상02_03_04_P342000034200000122013000119990510<NA>1영업/정상0정상<NA><NA><NA><NA><NA>165.0<NA>대구광역시 동구 효목동 289-3대구광역시 동구 동부로 215 (효목동)41230신라축산약품20130226113454I2018-08-31 23:59:59.0<NA>347575.200392265600.980241동물용의약품도매상<NA>000<NA>
45동물용의약품도매상02_03_04_P342000034200000122013000220130913<NA>1영업/정상0정상<NA><NA><NA><NA>0537624455<NA><NA>대구광역시 동구 율암동 1130-3대구광역시 동구 혁신대로 94(율암동)41065경수약품(주)20220331155523U2022-04-02 02:40:00.0<NA><NA><NA>동물용의약품도매상<NA>L000
56동물용의약품도매상02_03_04_P342000034200000122013000420040903<NA>1영업/정상0정상<NA><NA><NA><NA><NA>67.0<NA>대구광역시 동구 신천동 137-4대구광역시 동구 동대구로 425 (신천동)<NA>대경동물약품20171010183928I2018-08-31 23:59:59.0<NA>346772.20028264355.534342동물용의약품도매상<NA>000<NA>
67동물용의약품도매상02_03_04_P342000034200000122014000120140625<NA>1영업/정상0정상<NA><NA><NA><NA>080-057-5000203.1<NA>대구광역시 동구 신천동 293-5 2층대구광역시 동구 동대구로 478, 2층 (신천동)41242디씨팜20190201115411U2019-02-03 02:40:00.0<NA>346781.513059264851.186303동물용의약품도매상<NA>L00<NA>
78동물용의약품도매상02_03_04_P342000034200000122022000120220209<NA>1영업/정상0정상<NA><NA><NA><NA>053-980-88880.0<NA>대구광역시 동구 불로동 1257대구광역시 동구 팔공로37길 42(불로동)41029(주)영남지오영 대구지점20220209133637I2022-02-11 00:22:38.0<NA>347885.411478269663.478893동물용의약품도매상<NA>L000
89동물용의약품도매상02_03_04_P342000034200000122019000120191212<NA>3폐업2폐업20200218<NA><NA>202002181588-1359131.14<NA>대구광역시 동구 상매동 505-10대구광역시 동구 이노밸리로 3, 중앙빌딩 403호 (상매동)41059제이에스팜20200218154538U2020-02-20 02:40:00.0<NA>353928.883617266641.633672동물용의약품도매상<NA>000<NA>
910동물용의약품도매상02_03_04_P342000034200000122013000320131206<NA>3폐업2폐업20140624<NA><NA><NA>053-744-8831<NA><NA><NA>대구광역시 동구 송라로 52 (신천동)41259우림약품20140624112726I2018-08-31 23:59:59.0<NA>346185.188189264726.565601동물용의약품도매상<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
1415동물용의약품도매상02_03_04_P346000034600000122015000120030401<NA>1영업/정상0정상<NA><NA><NA><NA>79313500.0<NA><NA>대구광역시 수성구 달구벌대로 3258 (신매동)42277유진F&P20151013110245I2018-08-31 23:59:59.0<NA>354632.285747261119.620158동물용의약품도매상<NA>000<NA>
1516동물용의약품도매상02_03_04_P346000034600000122016000120160122<NA>1영업/정상0정상<NA><NA><NA><NA>7452326<NA><NA>대구광역시 수성구 만촌동 991-4대구광역시 수성구 충의로6길 42 (만촌동)42052디에스팜20160122100420I2018-08-31 23:59:59.0<NA>348749.748951264167.639535동물용의약품도매상<NA>000<NA>
1617동물용의약품도매상02_03_04_P346000034600000122018000120180622<NA>1영업/정상0정상<NA><NA><NA><NA>053-292-9423~40.0<NA>대구광역시 수성구 두산동 123-11대구광역시 수성구 동대구로7길 14-7 (두산동)42175(주)한국플러스팜20191112173257U2019-11-14 02:40:00.0<NA>346531.250062260540.406237동물용의약품도매상<NA>L00<NA>
1718동물용의약품도매상02_03_04_P347000034700000122021000120210629<NA>1영업/정상0정상<NA><NA><NA><NA><NA>97.26<NA>대구광역시 달서구 본동 811-3대구광역시 달서구 학산로25길 26, 1층 (본동)42733주식회사 리본펫20210630090640I2021-07-02 00:23:01.0<NA>339145.209362260522.71227동물용의약품도매상<NA>L00<NA>
1819동물용의약품도매상02_03_04_P347000034700000122013000120100706<NA>1영업/정상0정상<NA><NA><NA><NA>053-626-600182.72<NA>대구광역시 달서구 송현동 1989-5대구광역시 달서구 중흥로16길 38, 1층 (송현동)42819도은약품20191112173659U2019-11-14 02:40:00.0<NA>340688.778067259706.28798동물용의약품도매상<NA>000<NA>
1920동물용의약품도매상02_03_04_P348000034800000122018000120180410<NA>1영업/정상0정상<NA><NA><NA><NA>053-635-6699<NA><NA>대구광역시 달성군 화원읍 천내리 460-5대구광역시 달성군 화원읍 비슬로 2614-942962신우동물약품20200814153500U2020-08-16 02:40:00.0<NA>335763.069434257084.39453동물용의약품도매상<NA>000<NA>
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