Overview

Dataset statistics

Number of variables33
Number of observations50
Missing cells497
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.0 KiB
Average record size in memory287.6 B

Variable types

Numeric9
Categorical10
Unsupported9
Text4
DateTime1

Dataset

Description6270000_대구광역시_02_03_03_P_동물용의료용구판매업_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000048382&dataSetDetailId=DDI_0000048405&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (59.8%)Imbalance
영업상태명 is highly imbalanced (59.8%)Imbalance
상세영업상태코드 is highly imbalanced (59.8%)Imbalance
상세영업상태명 is highly imbalanced (59.8%)Imbalance
폐업일자 is highly imbalanced (75.8%)Imbalance
데이터갱신구분 is highly imbalanced (59.8%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
소재지전화 has 10 (20.0%) missing valuesMissing
소재지면적 has 35 (70.0%) missing valuesMissing
소재지우편번호 has 50 (100.0%) missing valuesMissing
소재지전체주소 has 2 (4.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
축산물가공업구분명 has 50 (100.0%) missing valuesMissing
축산일련번호 has 50 (100.0%) missing valuesMissing
총종업원수 has 50 (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 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 17:51:06.717921
Analysis finished2023-12-10 17:51:07.685093
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:07.853038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-11T02:51:08.206120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
동물용의료용구판매업
50 

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 50
100.0%

Length

2023-12-11T02:51:08.520778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:08.748669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 50
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
02_03_03_P
50 

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 50
100.0%

Length

2023-12-11T02:51:08.981135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:09.233403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 50
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443200
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:09.438082image/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 deviation20745.297
Coefficient of variation (CV)0.0060250049
Kurtosis-1.0881857
Mean3443200
Median Absolute Deviation (MAD)10000
Skewness-0.30497616
Sum1.7216 × 108
Variance4.3036735 × 108
MonotonicityIncreasing
2023-12-11T02:51:09.736688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 13
26.0%
3450000 11
22.0%
3410000 7
14.0%
3420000 7
14.0%
3440000 4
 
8.0%
3430000 3
 
6.0%
3470000 3
 
6.0%
3480000 2
 
4.0%
ValueCountFrequency (%)
3410000 7
14.0%
3420000 7
14.0%
3430000 3
 
6.0%
3440000 4
 
8.0%
3450000 11
22.0%
3460000 13
26.0%
3470000 3
 
6.0%
3480000 2
 
4.0%
ValueCountFrequency (%)
3480000 2
 
4.0%
3470000 3
 
6.0%
3460000 13
26.0%
3450000 11
22.0%
3440000 4
 
8.0%
3430000 3
 
6.0%
3420000 7
14.0%
3410000 7
14.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4432 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:10.145528image/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 deviation2.0745297 × 1015
Coefficient of variation (CV)0.0060250049
Kurtosis-1.0881857
Mean3.4432 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.30497616
Sum-1.230744 × 1018
Variance4.3036735 × 1030
MonotonicityNot monotonic
2023-12-11T02:51:10.575698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001319790001 1
 
2.0%
346000001320180003 1
 
2.0%
345000001320160001 1
 
2.0%
345000001320190001 1
 
2.0%
345000001320180007 1
 
2.0%
345000001320180006 1
 
2.0%
346000001320170001 1
 
2.0%
346000001320180001 1
 
2.0%
346000001320160001 1
 
2.0%
346000001320160002 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
341000001319790001 1
2.0%
341000001320120001 1
2.0%
341000001320150001 1
2.0%
341000001320150002 1
2.0%
341000001320160001 1
2.0%
341000001320180001 1
2.0%
341000001320180002 1
2.0%
342000001320120001 1
2.0%
342000001320130001 1
2.0%
342000001320140001 1
2.0%
ValueCountFrequency (%)
348000001320180002 1
2.0%
348000001320180001 1
2.0%
347000001320180003 1
2.0%
347000001320180002 1
2.0%
347000001320180001 1
2.0%
346000001320190001 1
2.0%
346000001320180008 1
2.0%
346000001320180007 1
2.0%
346000001320180006 1
2.0%
346000001320180005 1
2.0%

인허가일자
Real number (ℝ)

Distinct33
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20163208
Minimum19790411
Maximum20190605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:10.981296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20120913
Q120160611
median20180605
Q320180611
95-th percentile20186127
Maximum20190605
Range400194
Interquartile range (IQR)19999.75

Descriptive statistics

Standard deviation56935.144
Coefficient of variation (CV)0.0028237146
Kurtosis39.244211
Mean20163208
Median Absolute Deviation (MAD)89
Skewness-5.9784995
Sum1.0081604 × 109
Variance3.2416106 × 109
MonotonicityNot monotonic
2023-12-11T02:51:11.275875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20180614 4
 
8.0%
20180529 4
 
8.0%
20180607 4
 
8.0%
20180605 4
 
8.0%
20180608 3
 
6.0%
20180611 3
 
6.0%
20150721 2
 
4.0%
20180706 1
 
2.0%
20180628 1
 
2.0%
20190304 1
 
2.0%
Other values (23) 23
46.0%
ValueCountFrequency (%)
19790411 1
2.0%
20120614 1
2.0%
20120828 1
2.0%
20121016 1
2.0%
20130321 1
2.0%
20131127 1
2.0%
20140106 1
2.0%
20150721 2
4.0%
20160125 1
2.0%
20160323 1
2.0%
ValueCountFrequency (%)
20190605 1
 
2.0%
20190329 1
 
2.0%
20190304 1
 
2.0%
20181022 1
 
2.0%
20180816 1
 
2.0%
20180706 1
 
2.0%
20180628 1
 
2.0%
20180620 1
 
2.0%
20180614 4
8.0%
20180611 3
6.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
46 
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
92.0%
3 4
 
8.0%

Length

2023-12-11T02:51:11.576530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:11.767757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
92.0%
3 4
 
8.0%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
46 
폐업
 
4

Length

Max length5
Median length5
Mean length4.76
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 46
92.0%
폐업 4
 
8.0%

Length

2023-12-11T02:51:11.989908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:12.195751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 46
92.0%
폐업 4
 
8.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
46 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 46
92.0%
2 4
 
8.0%

Length

2023-12-11T02:51:12.400456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:12.611845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 46
92.0%
2 4
 
8.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
정상
46 
폐업
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 46
92.0%
폐업 4
 
8.0%

Length

2023-12-11T02:51:12.825350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:13.029093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 46
92.0%
폐업 4
 
8.0%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
20160930
 
1
20190109
 
1
20180330
 
1
20190304
 
1

Length

Max length8
Median length4
Mean length4.32
Min length4

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row20160930
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
20160930 1
 
2.0%
20190109 1
 
2.0%
20180330 1
 
2.0%
20190304 1
 
2.0%

Length

2023-12-11T02:51:13.294161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:13.572410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
20160930 1
 
2.0%
20190109 1
 
2.0%
20180330 1
 
2.0%
20190304 1
 
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지전화
Text

MISSING 

Distinct38
Distinct (%)95.0%
Missing10
Missing (%)20.0%
Memory size532.0 B
2023-12-11T02:51:14.036039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.975
Min length7

Characters and Unicode

Total characters439
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

Unique36 ?
Unique (%)90.0%

Sample

1st row424-9944
2nd row053-424-0042
3rd row425-7323
4th row422-4327
5th row422-4327
ValueCountFrequency (%)
0536262605 2
 
5.0%
422-4327 2
 
5.0%
7565033 1
 
2.5%
053-587-4317 1
 
2.5%
424-9944 1
 
2.5%
053-793-0279 1
 
2.5%
053-384-0152 1
 
2.5%
053-781-0368 1
 
2.5%
0537832458 1
 
2.5%
745-2326 1
 
2.5%
Other values (28) 28
70.0%
2023-12-11T02:51:14.817573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 73
16.6%
5 66
15.0%
- 60
13.7%
0 51
11.6%
7 38
8.7%
4 36
8.2%
6 35
8.0%
2 34
7.7%
1 20
 
4.6%
8 16
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 379
86.3%
Dash Punctuation 60
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 73
19.3%
5 66
17.4%
0 51
13.5%
7 38
10.0%
4 36
9.5%
6 35
9.2%
2 34
9.0%
1 20
 
5.3%
8 16
 
4.2%
9 10
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 439
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 73
16.6%
5 66
15.0%
- 60
13.7%
0 51
11.6%
7 38
8.7%
4 36
8.2%
6 35
8.0%
2 34
7.7%
1 20
 
4.6%
8 16
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 439
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 73
16.6%
5 66
15.0%
- 60
13.7%
0 51
11.6%
7 38
8.7%
4 36
8.2%
6 35
8.0%
2 34
7.7%
1 20
 
4.6%
8 16
 
3.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)93.3%
Missing35
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean315.70467
Minimum0
Maximum1127.63
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:15.132572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.6
Q170.56
median211.3
Q3439.6
95-th percentile1035.783
Maximum1127.63
Range1127.63
Interquartile range (IQR)369.04

Descriptive statistics

Standard deviation338.19717
Coefficient of variation (CV)1.0712454
Kurtosis1.9369981
Mean315.70467
Median Absolute Deviation (MAD)162.3
Skewness1.5902067
Sum4735.57
Variance114377.33
MonotonicityNot monotonic
2023-12-11T02:51:15.419079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
441.2 2
 
4.0%
0.0 1
 
2.0%
438.0 1
 
2.0%
211.3 1
 
2.0%
66.12 1
 
2.0%
113.74 1
 
2.0%
258.18 1
 
2.0%
262.03 1
 
2.0%
996.42 1
 
2.0%
75.0 1
 
2.0%
Other values (4) 4
 
8.0%
(Missing) 35
70.0%
ValueCountFrequency (%)
0.0 1
2.0%
48.0 1
2.0%
49.0 1
2.0%
66.12 1
2.0%
75.0 1
2.0%
113.74 1
2.0%
207.75 1
2.0%
211.3 1
2.0%
258.18 1
2.0%
262.03 1
2.0%
ValueCountFrequency (%)
1127.63 1
2.0%
996.42 1
2.0%
441.2 2
4.0%
438.0 1
2.0%
262.03 1
2.0%
258.18 1
2.0%
211.3 1
2.0%
207.75 1
2.0%
113.74 1
2.0%
75.0 1
2.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지전체주소
Text

MISSING 

Distinct44
Distinct (%)91.7%
Missing2
Missing (%)4.0%
Memory size532.0 B
2023-12-11T02:51:16.134784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length25.395833
Min length20

Characters and Unicode

Total characters1219
Distinct characters110
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

Unique40 ?
Unique (%)83.3%

Sample

1st row대구광역시 중구 대봉동 715-15번지
2nd row대구광역시 중구 동산동 18-1번지 3층
3rd row대구광역시 중구 삼덕동2가 210-1번지 진석타워 9층 512호
4th row대구광역시 중구 삼덕동2가 210-1번지 진석타워 9층 512호
5th row대구광역시 중구 동인동3가 370-1번지
ValueCountFrequency (%)
대구광역시 48
 
21.5%
북구 11
 
4.9%
수성구 11
 
4.9%
동구 7
 
3.1%
중구 7
 
3.1%
산격동 5
 
2.2%
대명동 4
 
1.8%
남구 4
 
1.8%
지산동 3
 
1.3%
서구 3
 
1.3%
Other values (98) 120
53.8%
2023-12-11T02:51:17.270217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
17.8%
구 97
 
8.0%
1 66
 
5.4%
동 60
 
4.9%
대 58
 
4.8%
지 56
 
4.6%
시 51
 
4.2%
역 48
 
3.9%
광 48
 
3.9%
번 48
 
3.9%
Other values (100) 470
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
57.8%
Decimal Number 251
 
20.6%
Space Separator 217
 
17.8%
Dash Punctuation 40
 
3.3%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 97
13.8%
동 60
 
8.5%
대 58
 
8.2%
지 56
 
7.9%
시 51
 
7.2%
역 48
 
6.8%
광 48
 
6.8%
번 48
 
6.8%
산 15
 
2.1%
성 14
 
2.0%
Other values (83) 210
29.8%
Decimal Number
ValueCountFrequency (%)
1 66
26.3%
2 42
16.7%
0 25
 
10.0%
5 22
 
8.8%
3 18
 
7.2%
9 18
 
7.2%
7 18
 
7.2%
6 17
 
6.8%
4 17
 
6.8%
8 8
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
57.8%
Common 511
41.9%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 97
13.8%
동 60
 
8.5%
대 58
 
8.2%
지 56
 
7.9%
시 51
 
7.2%
역 48
 
6.8%
광 48
 
6.8%
번 48
 
6.8%
산 15
 
2.1%
성 14
 
2.0%
Other values (83) 210
29.8%
Common
ValueCountFrequency (%)
217
42.5%
1 66
 
12.9%
2 42
 
8.2%
- 40
 
7.8%
0 25
 
4.9%
5 22
 
4.3%
3 18
 
3.5%
9 18
 
3.5%
7 18
 
3.5%
6 17
 
3.3%
Other values (4) 28
 
5.5%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
57.8%
ASCII 514
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
42.2%
1 66
 
12.8%
2 42
 
8.2%
- 40
 
7.8%
0 25
 
4.9%
5 22
 
4.3%
3 18
 
3.5%
9 18
 
3.5%
7 18
 
3.5%
6 17
 
3.3%
Other values (7) 31
 
6.0%
Hangul
ValueCountFrequency (%)
구 97
13.8%
동 60
 
8.5%
대 58
 
8.2%
지 56
 
7.9%
시 51
 
7.2%
역 48
 
6.8%
광 48
 
6.8%
번 48
 
6.8%
산 15
 
2.1%
성 14
 
2.0%
Other values (83) 210
29.8%

도로명전체주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T02:51:18.097619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length29.32
Min length21

Characters and Unicode

Total characters1466
Distinct characters140
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

Unique44 ?
Unique (%)88.0%

Sample

1st row대구광역시 중구 대봉로 278 (대봉동)
2nd row대구광역시 중구 국채보상로 487, 3층 (동산동)
3rd row대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 9층 512호)
4th row대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 9층 512호)
5th row대구광역시 중구 태평로 300-1 (동인동3가, 현대문화일보)
ValueCountFrequency (%)
대구광역시 50
 
16.8%
수성구 13
 
4.4%
북구 11
 
3.7%
중구 7
 
2.4%
동구 7
 
2.4%
산격동 5
 
1.7%
1층 4
 
1.3%
달구벌대로 4
 
1.3%
남구 4
 
1.3%
대명동 4
 
1.3%
Other values (146) 188
63.3%
2023-12-11T02:51:19.294001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
16.9%
구 105
 
7.2%
동 74
 
5.0%
대 72
 
4.9%
시 55
 
3.8%
1 54
 
3.7%
로 51
 
3.5%
역 50
 
3.4%
광 50
 
3.4%
( 48
 
3.3%
Other values (130) 659
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 857
58.5%
Space Separator 248
 
16.9%
Decimal Number 223
 
15.2%
Open Punctuation 48
 
3.3%
Close Punctuation 48
 
3.3%
Other Punctuation 29
 
2.0%
Dash Punctuation 9
 
0.6%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 105
 
12.3%
동 74
 
8.6%
대 72
 
8.4%
시 55
 
6.4%
로 51
 
6.0%
역 50
 
5.8%
광 50
 
5.8%
성 21
 
2.5%
지 16
 
1.9%
수 15
 
1.8%
Other values (111) 348
40.6%
Decimal Number
ValueCountFrequency (%)
1 54
24.2%
2 43
19.3%
3 25
11.2%
0 24
10.8%
5 16
 
7.2%
6 15
 
6.7%
4 15
 
6.7%
7 13
 
5.8%
8 11
 
4.9%
9 7
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
T 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 857
58.5%
Common 606
41.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 105
 
12.3%
동 74
 
8.6%
대 72
 
8.4%
시 55
 
6.4%
로 51
 
6.0%
역 50
 
5.8%
광 50
 
5.8%
성 21
 
2.5%
지 16
 
1.9%
수 15
 
1.8%
Other values (111) 348
40.6%
Common
ValueCountFrequency (%)
248
40.9%
1 54
 
8.9%
( 48
 
7.9%
) 48
 
7.9%
2 43
 
7.1%
, 29
 
4.8%
3 25
 
4.1%
0 24
 
4.0%
5 16
 
2.6%
6 15
 
2.5%
Other values (6) 56
 
9.2%
Latin
ValueCountFrequency (%)
P 1
33.3%
T 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 857
58.5%
ASCII 609
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
40.7%
1 54
 
8.9%
( 48
 
7.9%
) 48
 
7.9%
2 43
 
7.1%
, 29
 
4.8%
3 25
 
4.1%
0 24
 
3.9%
5 16
 
2.6%
6 15
 
2.5%
Other values (9) 59
 
9.7%
Hangul
ValueCountFrequency (%)
구 105
 
12.3%
동 74
 
8.6%
대 72
 
8.4%
시 55
 
6.4%
로 51
 
6.0%
역 50
 
5.8%
광 50
 
5.8%
성 21
 
2.5%
지 16
 
1.9%
수 15
 
1.8%
Other values (111) 348
40.6%

도로명우편번호
Real number (ℝ)

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41919.62
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:19.646695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41210.05
Q141516.5
median41940.5
Q342221.75
95-th percentile42808.1
Maximum43018
Range1982
Interquartile range (IQR)705.25

Descriptive statistics

Standard deviation487.50397
Coefficient of variation (CV)0.011629494
Kurtosis-0.51347616
Mean41919.62
Median Absolute Deviation (MAD)383.5
Skewness0.2575585
Sum2095981
Variance237660.12
MonotonicityNot monotonic
2023-12-11T02:51:19.993179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
41516 2
 
4.0%
42405 2
 
4.0%
41940 2
 
4.0%
41518 2
 
4.0%
41941 2
 
4.0%
41267 2
 
4.0%
42261 2
 
4.0%
42218 1
 
2.0%
42187 1
 
2.0%
42052 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
41036 1
2.0%
41164 1
2.0%
41206 1
2.0%
41215 1
2.0%
41249 1
2.0%
41267 2
4.0%
41461 1
2.0%
41477 1
2.0%
41499 1
2.0%
41515 1
2.0%
ValueCountFrequency (%)
43018 1
2.0%
42915 1
2.0%
42818 1
2.0%
42796 1
2.0%
42609 1
2.0%
42465 1
2.0%
42448 1
2.0%
42405 2
4.0%
42261 2
4.0%
42251 1
2.0%

사업장명
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T02:51:20.515636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12.5
Mean length8.2
Min length3

Characters and Unicode

Total characters410
Distinct characters119
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

Unique44 ?
Unique (%)88.0%

Sample

1st row주식회사 대구축산
2nd row(주)한국교통정보
3rd row컴패니언
4th row컴패니언
5th row(주)태영엘에스
ValueCountFrequency (%)
폴리파크 14
 
17.7%
주식회사 7
 
8.9%
주)포파코 3
 
3.8%
컴패니언 2
 
2.5%
제이 2
 
2.5%
코메드 2
 
2.5%
포파코 2
 
2.5%
폴리파크(polypark 2
 
2.5%
범어지점 1
 
1.3%
대구축산 1
 
1.3%
Other values (43) 43
54.4%
2023-12-11T02:51:21.349169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
7.1%
파 24
 
5.9%
점 20
 
4.9%
크 19
 
4.6%
리 19
 
4.6%
폴 18
 
4.4%
주 16
 
3.9%
사 14
 
3.4%
) 10
 
2.4%
이 10
 
2.4%
Other values (109) 231
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
81.2%
Space Separator 29
 
7.1%
Uppercase Letter 27
 
6.6%
Close Punctuation 10
 
2.4%
Open Punctuation 10
 
2.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 24
 
7.2%
점 20
 
6.0%
크 19
 
5.7%
리 19
 
5.7%
폴 18
 
5.4%
주 16
 
4.8%
사 14
 
4.2%
이 10
 
3.0%
회 9
 
2.7%
식 9
 
2.7%
Other values (93) 175
52.6%
Uppercase Letter
ValueCountFrequency (%)
O 4
14.8%
P 4
14.8%
I 3
11.1%
A 3
11.1%
K 2
7.4%
R 2
7.4%
N 2
7.4%
L 2
7.4%
Y 2
7.4%
B 1
 
3.7%
Other values (2) 2
7.4%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
81.2%
Common 50
 
12.2%
Latin 27
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 24
 
7.2%
점 20
 
6.0%
크 19
 
5.7%
리 19
 
5.7%
폴 18
 
5.4%
주 16
 
4.8%
사 14
 
4.2%
이 10
 
3.0%
회 9
 
2.7%
식 9
 
2.7%
Other values (93) 175
52.6%
Latin
ValueCountFrequency (%)
O 4
14.8%
P 4
14.8%
I 3
11.1%
A 3
11.1%
K 2
7.4%
R 2
7.4%
N 2
7.4%
L 2
7.4%
Y 2
7.4%
B 1
 
3.7%
Other values (2) 2
7.4%
Common
ValueCountFrequency (%)
29
58.0%
) 10
 
20.0%
( 10
 
20.0%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
81.2%
ASCII 77
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
37.7%
) 10
 
13.0%
( 10
 
13.0%
O 4
 
5.2%
P 4
 
5.2%
I 3
 
3.9%
A 3
 
3.9%
K 2
 
2.6%
R 2
 
2.6%
N 2
 
2.6%
Other values (6) 8
 
10.4%
Hangul
ValueCountFrequency (%)
파 24
 
7.2%
점 20
 
6.0%
크 19
 
5.7%
리 19
 
5.7%
폴 18
 
5.4%
주 16
 
4.8%
사 14
 
4.2%
이 10
 
3.0%
회 9
 
2.7%
식 9
 
2.7%
Other values (93) 175
52.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172794 × 1013
Minimum2.0120614 × 1013
Maximum2.0190605 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:21.728187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0125203 × 1013
Q12.0171136 × 1013
median2.0180605 × 1013
Q32.0180614 × 1013
95-th percentile2.0190312 × 1013
Maximum2.0190605 × 1013
Range6.9990971 × 1010
Interquartile range (IQR)9.4777648 × 109

Descriptive statistics

Standard deviation1.8071938 × 1010
Coefficient of variation (CV)0.00089585694
Kurtosis2.74306
Mean2.0172794 × 1013
Median Absolute Deviation (MAD)1.2195264 × 108
Skewness-1.873091
Sum1.0086397 × 1015
Variance3.2659494 × 1020
MonotonicityNot monotonic
2023-12-11T02:51:22.702706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160930135708 1
 
2.0%
20180605162034 1
 
2.0%
20160323171659 1
 
2.0%
20190605102054 1
 
2.0%
20181022174952 1
 
2.0%
20181112172543 1
 
2.0%
20170703153603 1
 
2.0%
20180528162537 1
 
2.0%
20160125114353 1
 
2.0%
20180402094701 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
20120614131152 1
2.0%
20120828094312 1
2.0%
20121016110802 1
2.0%
20130321172849 1
2.0%
20140106104704 1
2.0%
20150721150716 1
2.0%
20150721151747 1
2.0%
20160125114353 1
2.0%
20160323171659 1
2.0%
20160419104757 1
2.0%
ValueCountFrequency (%)
20190605102054 1
2.0%
20190329114628 1
2.0%
20190318173024 1
2.0%
20190304162127 1
2.0%
20190109105414 1
2.0%
20181112172543 1
2.0%
20181022174952 1
2.0%
20180727125458 1
2.0%
20180727120229 1
2.0%
20180706131653 1
2.0%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
I
46 
U
 
4

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 46
92.0%
U 4
 
8.0%

Length

2023-12-11T02:51:23.038635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:23.251101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 46
92.0%
u 4
 
8.0%

데이터갱신일자
Date

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2019-06-07 02:21:05
2023-12-11T02:51:23.441135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:51:23.786442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

좌표정보(X)
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344504.46
Minimum331994.27
Maximum353019.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:24.096829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331994.27
5-th percentile337020.18
Q1342433.65
median345059.47
Q3346513.77
95-th percentile351805.79
Maximum353019.14
Range21024.871
Interquartile range (IQR)4080.123

Descriptive statistics

Standard deviation4240.7247
Coefficient of variation (CV)0.012309637
Kurtosis2.0976124
Mean344504.46
Median Absolute Deviation (MAD)1956.7948
Skewness-0.78109382
Sum17225223
Variance17983746
MonotonicityNot monotonic
2023-12-11T02:51:24.411140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
342236.602185 2
 
4.0%
344686.259338 2
 
4.0%
344912.358902 2
 
4.0%
344309.71562 2
 
4.0%
345793.311978 2
 
4.0%
353019.13771 2
 
4.0%
344432.563324 1
 
2.0%
347040.840981 1
 
2.0%
347032.489321 1
 
2.0%
348749.748951 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
331994.266957 1
2.0%
332317.0 1
2.0%
335095.041373 1
2.0%
339373.134791 1
2.0%
339628.760658 1
2.0%
340194.786718 1
2.0%
340200.70685 1
2.0%
341094.574634 1
2.0%
341937.880214 1
2.0%
342037.156017 1
2.0%
ValueCountFrequency (%)
353019.13771 2
4.0%
352722.310665 1
2.0%
350685.592287 1
2.0%
348749.748951 1
2.0%
348301.66757 1
2.0%
348073.107864 1
2.0%
347513.970564 1
2.0%
347040.840981 1
2.0%
347032.489321 1
2.0%
347000.037691 1
2.0%

좌표정보(Y)
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263854.13
Minimum244698
Maximum270836.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T02:51:24.753348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile259210.03
Q1261926.16
median264238.43
Q3265946.28
95-th percentile268855.17
Maximum270836.56
Range26138.565
Interquartile range (IQR)4020.114

Descriptive statistics

Standard deviation4098.7789
Coefficient of variation (CV)0.015534261
Kurtosis8.7181251
Mean263854.13
Median Absolute Deviation (MAD)2249.5436
Skewness-1.9714707
Sum13192706
Variance16799989
MonotonicityNot monotonic
2023-12-11T02:51:25.094789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
263098.702086 2
 
4.0%
263958.880864 2
 
4.0%
268253.830253 2
 
4.0%
264309.215111 2
 
4.0%
264564.232699 2
 
4.0%
261926.162918 2
 
4.0%
263763.687867 1
 
2.0%
259111.444544 1
 
2.0%
259790.219749 1
 
2.0%
264167.639535 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
244698.0 1
2.0%
257618.088478 1
2.0%
259111.444544 1
2.0%
259330.525763 1
2.0%
259460.119325 1
2.0%
259790.219749 1
2.0%
260134.448701 1
2.0%
260875.577524 1
2.0%
261178.396104 1
2.0%
261433.316797 1
2.0%
ValueCountFrequency (%)
270836.564701 1
2.0%
270282.005962 1
2.0%
268922.318187 1
2.0%
268773.105736 1
2.0%
268737.493191 1
2.0%
268573.519631 1
2.0%
268253.830253 2
4.0%
267409.574785 1
2.0%
266778.003771 1
2.0%
266771.823922 1
2.0%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
동물용의료용구판매업
50 

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 50
100.0%

Length

2023-12-11T02:51:25.456249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:25.677367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 50
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
000
38 
L00
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 38
76.0%
L00 12
 
24.0%

Length

2023-12-11T02:51:25.941183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:26.196669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 38
76.0%
l00 12
 
24.0%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01동물용의료용구판매업02_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>
12동물용의료용구판매업02_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>
23동물용의료용구판매업02_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>
34동물용의료용구판매업02_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>
45동물용의료용구판매업02_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>
56동물용의료용구판매업02_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>
67동물용의료용구판매업02_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>
78동물용의료용구판매업02_03_03_P342000034200000132014000120140106<NA>1영업/정상0정상<NA><NA><NA><NA>053-759-566866.12<NA>대구광역시 동구 신천동 645-1번지 우방푸른타운상가 110동 201호대구광역시 동구 국채보상로159길 41, 110동 201호 (신천동, 우방푸른타운상가)41267펫키퍼20140106104704I2018-08-31 23:59:59.0<NA>345793.311978264564.232699동물용의료용구판매업<NA><NA>000<NA>
89동물용의료용구판매업02_03_03_P342000034200000132018000120180329<NA>1영업/정상0정상<NA><NA><NA><NA>053-756-5033<NA><NA>대구광역시 동구 도동 978-68번지대구광역시 동구 팔공로24길 51 (도동)41036오즈메디칼20180329163812I2018-08-31 23:59:59.0<NA>348301.66757268922.318187동물용의료용구판매업<NA><NA>000<NA>
910동물용의료용구판매업02_03_03_P342000034200000132018000220180608<NA>1영업/정상0정상<NA><NA><NA><NA>053-943-4313<NA><NA>대구광역시 동구 신암동 165-15번지대구광역시 동구 아양로 18-1 (신암동)41206폴리파크 신암점20180608111358I2018-08-31 23:59:59.0<NA>345879.434401265760.100439동물용의료용구판매업<NA><NA>000<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
4041동물용의료용구판매업02_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>
4142동물용의료용구판매업02_03_03_P346000034600000132018000620180611<NA>1영업/정상0정상<NA><NA><NA><NA>053-783-3566<NA><NA>대구광역시 수성구 지산동 1241-4번지대구광역시 수성구 용학로 165-1 (지산동)42216폴리파크 목련시장점20180611105147I2018-08-31 23:59:59.0<NA>346988.501145259330.525763동물용의료용구판매업<NA><NA>000<NA>
4243동물용의료용구판매업02_03_03_P346000034600000132018000720180611<NA>1영업/정상0정상<NA><NA><NA><NA>053-767-5657<NA><NA>대구광역시 수성구 파동 45-5번지대구광역시 수성구 파동로 245 (파동)42223폴리파크 파동점20180611105416I2018-08-31 23:59:59.0<NA>345439.046806259460.119325동물용의료용구판매업<NA><NA>000<NA>
4344동물용의료용구판매업02_03_03_P346000034600000132018000820180611<NA>1영업/정상0정상<NA><NA><NA><NA>053-752-0907<NA><NA>대구광역시 수성구 수성동4가 1186-70번지대구광역시 수성구 달구벌대로 2291-1 (수성동4가)42007폴리파크 수성교점20180611110414I2018-08-31 23:59:59.0<NA>345644.175864263421.5444동물용의료용구판매업<NA><NA>000<NA>
4445동물용의료용구판매업02_03_03_P346000034600000132019000120190304<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 시지동 150-9번지 시지미래하이츠 103동 101호대구광역시 수성구 천을로 35, 103동 101호 (시지동, 시지미래하이츠)42261바이오엔20190318173024U2019-03-20 02:40:00.0<NA>353019.13771261926.162918동물용의료용구판매업<NA><NA>000<NA>
4546동물용의료용구판매업02_03_03_P347000034700000132018000120180529<NA>1영업/정상0정상<NA><NA><NA><NA>053-635-4313207.75<NA>대구광역시 달서구 송현동 207-15번지대구광역시 달서구 월배로 418 (송현동)42818폴리파크 송현점20180529143824I2018-08-31 23:59:59.0<NA>340200.70685260134.448701동물용의료용구판매업<NA><NA>000<NA>
4647동물용의료용구판매업02_03_03_P347000034700000132018000220180607<NA>1영업/정상0정상<NA><NA><NA><NA>053-587-4317<NA><NA>대구광역시 달서구 신당동 1784-13번지대구광역시 달서구 계대동문로 37 (신당동)42609폴리파크 신당점20180607094543I2018-08-31 23:59:59.0<NA>335095.041373262745.863585동물용의료용구판매업<NA><NA>000<NA>
4748동물용의료용구판매업02_03_03_P347000034700000132018000320180607<NA>1영업/정상0정상<NA><NA><NA><NA>053-637-0279<NA><NA>대구광역시 달서구 상인동 1332-366번지대구광역시 달서구 상화로 263 (상인동)42796폴리파크 상인점20180607101241I2018-08-31 23:59:59.0<NA>339373.134791257618.088478동물용의료용구판매업<NA><NA>000<NA>
4849동물용의료용구판매업02_03_03_P348000034800000132018000120180628<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 619번지 테크노폴리스 M스퀘어+대구광역시 달성군 유가읍 테크노상업로 120, 테크노폴리스 M스퀘어+ 102호43018폴리파크 테크노폴리스점20180628142430I2018-08-31 23:59:59.0<NA>332317.0244698.0동물용의료용구판매업<NA><NA>000<NA>
4950동물용의료용구판매업02_03_03_P348000034800000132018000220180706<NA>1영업/정상0정상<NA><NA><NA><NA>053-586-0466<NA><NA>대구광역시 달성군 다사읍 죽곡리 23-7번지대구광역시 달성군 다사읍 달구벌대로 83842915폴리파크 다사점20180706131653I2018-08-31 23:59:59.0<NA>331994.266957263271.649552동물용의료용구판매업<NA><NA>000<NA>