Overview

Dataset statistics

Number of variables33
Number of observations57
Missing cells569
Missing cells (%)30.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory287.2 B

Variable types

Numeric9
Categorical11
Unsupported9
Text4

Dataset

Description6270000_대구광역시_02_03_03_P_동물용의료용구판매업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084107&dataSetDetailId=DDI_0000084143&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (63.3%)Imbalance
영업상태명 is highly imbalanced (63.3%)Imbalance
상세영업상태코드 is highly imbalanced (63.3%)Imbalance
상세영업상태명 is highly imbalanced (63.3%)Imbalance
폐업일자 is highly imbalanced (78.2%)Imbalance
데이터갱신구분 is highly imbalanced (63.3%)Imbalance
데이터갱신일자 is highly imbalanced (55.5%)Imbalance
인허가취소일자 has 57 (100.0%) missing valuesMissing
휴업시작일자 has 57 (100.0%) missing valuesMissing
휴업종료일자 has 57 (100.0%) missing valuesMissing
재개업일자 has 57 (100.0%) missing valuesMissing
소재지전화 has 12 (21.1%) missing valuesMissing
소재지면적 has 42 (73.7%) missing valuesMissing
소재지우편번호 has 57 (100.0%) missing valuesMissing
소재지전체주소 has 2 (3.5%) missing valuesMissing
업태구분명 has 57 (100.0%) missing valuesMissing
축산물가공업구분명 has 57 (100.0%) missing valuesMissing
축산일련번호 has 57 (100.0%) missing valuesMissing
총종업원수 has 57 (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 (1.8%) zerosZeros

Reproduction

Analysis started2024-04-20 22:04:31.514479
Analysis finished2024-04-20 22:04:32.155561
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:32.333522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2024-04-21T07:04:32.740280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size584.0 B
동물용의료용구판매업
57 

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 57
100.0%

Length

2024-04-21T07:04:33.143844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:33.395308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 57
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size584.0 B
02_03_03_P
57 

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 57
100.0%

Length

2024-04-21T07:04:33.564130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:33.731018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 57
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443684.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:33.881686image/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 deviation19877.444
Coefficient of variation (CV)0.0057721448
Kurtosis-0.93058929
Mean3443684.2
Median Absolute Deviation (MAD)10000
Skewness-0.39210954
Sum1.9629 × 108
Variance3.9511278 × 108
MonotonicityIncreasing
2024-04-21T07:04:34.089216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 16
28.1%
3460000 14
24.6%
3420000 8
14.0%
3410000 7
12.3%
3440000 4
 
7.0%
3430000 3
 
5.3%
3470000 3
 
5.3%
3480000 2
 
3.5%
ValueCountFrequency (%)
3410000 7
12.3%
3420000 8
14.0%
3430000 3
 
5.3%
3440000 4
 
7.0%
3450000 16
28.1%
3460000 14
24.6%
3470000 3
 
5.3%
3480000 2
 
3.5%
ValueCountFrequency (%)
3480000 2
 
3.5%
3470000 3
 
5.3%
3460000 14
24.6%
3450000 16
28.1%
3440000 4
 
7.0%
3430000 3
 
5.3%
3420000 8
14.0%
3410000 7
12.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4436842 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:34.345821image/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 deviation1.9877444 × 1015
Coefficient of variation (CV)0.0057721448
Kurtosis-0.93058929
Mean3.4436842 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.39210954
Sum1.182256 × 1018
Variance3.9511278 × 1030
MonotonicityNot monotonic
2024-04-21T07:04:34.624795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.8%
346000001320180003 1
 
1.8%
345000001320180005 1
 
1.8%
345000001320170001 1
 
1.8%
345000001320160001 1
 
1.8%
345000001320190001 1
 
1.8%
345000001320180007 1
 
1.8%
345000001320180006 1
 
1.8%
345000001320200002 1
 
1.8%
346000001320190002 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
341000001319790001 1
1.8%
341000001320120001 1
1.8%
341000001320150001 1
1.8%
341000001320150002 1
1.8%
341000001320160001 1
1.8%
341000001320180001 1
1.8%
341000001320180002 1
1.8%
342000001320120001 1
1.8%
342000001320130001 1
1.8%
342000001320140001 1
1.8%
ValueCountFrequency (%)
348000001320180002 1
1.8%
348000001320180001 1
1.8%
347000001320180003 1
1.8%
347000001320180002 1
1.8%
347000001320180001 1
1.8%
346000001320190002 1
1.8%
346000001320190001 1
1.8%
346000001320180008 1
1.8%
346000001320180007 1
1.8%
346000001320180006 1
1.8%

인허가일자
Real number (ℝ)

Distinct40
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20167103
Minimum19790411
Maximum20200203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:34.887190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20120978
Q120170703
median20180607
Q320180620
95-th percentile20192924
Maximum20200203
Range409792
Interquartile range (IQR)9917

Descriptive statistics

Standard deviation54307.398
Coefficient of variation (CV)0.0026928705
Kurtosis42.900602
Mean20167103
Median Absolute Deviation (MAD)381
Skewness-6.1932015
Sum1.1495249 × 109
Variance2.9492934 × 109
MonotonicityNot monotonic
2024-04-21T07:04:35.336330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20180614 4
 
7.0%
20180607 4
 
7.0%
20180529 4
 
7.0%
20180605 4
 
7.0%
20180608 3
 
5.3%
20180611 3
 
5.3%
20150721 2
 
3.5%
20160323 1
 
1.8%
20190605 1
 
1.8%
20181022 1
 
1.8%
Other values (30) 30
52.6%
ValueCountFrequency (%)
19790411 1
1.8%
20120614 1
1.8%
20120828 1
1.8%
20121016 1
1.8%
20130321 1
1.8%
20131127 1
1.8%
20140106 1
1.8%
20150721 2
3.5%
20160125 1
1.8%
20160323 1
1.8%
ValueCountFrequency (%)
20200203 1
1.8%
20200113 1
1.8%
20200102 1
1.8%
20191129 1
1.8%
20191112 1
1.8%
20191018 1
1.8%
20190830 1
1.8%
20190605 1
1.8%
20190329 1
1.8%
20190304 1
1.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size584.0 B
1
53 
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
93.0%
3 4
 
7.0%

Length

2024-04-21T07:04:35.562767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:35.731707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
93.0%
3 4
 
7.0%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size584.0 B
영업/정상
53 
폐업
 
4

Length

Max length5
Median length5
Mean length4.7894737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 53
93.0%
폐업 4
 
7.0%

Length

2024-04-21T07:04:35.912770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:36.085936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 53
93.0%
폐업 4
 
7.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size584.0 B
0
53 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 53
93.0%
2 4
 
7.0%

Length

2024-04-21T07:04:36.270370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:36.431675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
93.0%
2 4
 
7.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size584.0 B
정상
53 
폐업
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 53
93.0%
폐업 4
 
7.0%

Length

2024-04-21T07:04:36.607823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:36.773216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 53
93.0%
폐업 4
 
7.0%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size584.0 B
<NA>
53 
20160930
 
1
20190109
 
1
20180330
 
1
20190304
 
1

Length

Max length8
Median length4
Mean length4.2807018
Min length4

Unique

Unique4 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
93.0%
20160930 1
 
1.8%
20190109 1
 
1.8%
20180330 1
 
1.8%
20190304 1
 
1.8%

Length

2024-04-21T07:04:36.975493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:37.181599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
93.0%
20160930 1
 
1.8%
20190109 1
 
1.8%
20180330 1
 
1.8%
20190304 1
 
1.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

소재지전화
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing12
Missing (%)21.1%
Memory size584.0 B
2024-04-21T07:04:37.884158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.088889
Min length7

Characters and Unicode

Total characters499
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

Unique41 ?
Unique (%)91.1%

Sample

1st row053-424-0042
2nd row425-7323
3rd row422-4327
4th row422-4327
5th row424-9944
ValueCountFrequency (%)
0536262605 2
 
4.4%
422-4327 2
 
4.4%
053-635-4313 1
 
2.2%
7565033 1
 
2.2%
053-637-0279 1
 
2.2%
053-587-4317 1
 
2.2%
053-793-0279 1
 
2.2%
053-604-5640 1
 
2.2%
053-292-4574 1
 
2.2%
053-384-0152 1
 
2.2%
Other values (33) 33
73.3%
2024-04-21T07:04:39.110981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 83
16.6%
5 73
14.6%
- 70
14.0%
0 60
12.0%
7 42
8.4%
2 41
8.2%
4 40
8.0%
6 36
7.2%
8 22
 
4.4%
1 21
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 429
86.0%
Dash Punctuation 70
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 83
19.3%
5 73
17.0%
0 60
14.0%
7 42
9.8%
2 41
9.6%
4 40
9.3%
6 36
8.4%
8 22
 
5.1%
1 21
 
4.9%
9 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 499
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 83
16.6%
5 73
14.6%
- 70
14.0%
0 60
12.0%
7 42
8.4%
2 41
8.2%
4 40
8.0%
6 36
7.2%
8 22
 
4.4%
1 21
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 83
16.6%
5 73
14.6%
- 70
14.0%
0 60
12.0%
7 42
8.4%
2 41
8.2%
4 40
8.0%
6 36
7.2%
8 22
 
4.4%
1 21
 
4.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)93.3%
Missing42
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean315.70467
Minimum0
Maximum1127.63
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:39.481151image/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
2024-04-21T07:04:39.843745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
441.2 2
 
3.5%
438.0 1
 
1.8%
211.3 1
 
1.8%
0.0 1
 
1.8%
66.12 1
 
1.8%
113.74 1
 
1.8%
258.18 1
 
1.8%
262.03 1
 
1.8%
996.42 1
 
1.8%
75.0 1
 
1.8%
Other values (4) 4
 
7.0%
(Missing) 42
73.7%
ValueCountFrequency (%)
0.0 1
1.8%
48.0 1
1.8%
49.0 1
1.8%
66.12 1
1.8%
75.0 1
1.8%
113.74 1
1.8%
207.75 1
1.8%
211.3 1
1.8%
258.18 1
1.8%
262.03 1
1.8%
ValueCountFrequency (%)
1127.63 1
1.8%
996.42 1
1.8%
441.2 2
3.5%
438.0 1
1.8%
262.03 1
1.8%
258.18 1
1.8%
211.3 1
1.8%
207.75 1
1.8%
113.74 1
1.8%
75.0 1
1.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

소재지전체주소
Text

MISSING 

Distinct51
Distinct (%)92.7%
Missing2
Missing (%)3.5%
Memory size584.0 B
2024-04-21T07:04:40.927933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.909091
Min length20

Characters and Unicode

Total characters1370
Distinct characters116
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

Unique47 ?
Unique (%)85.5%

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 공평동 59-1번지
ValueCountFrequency (%)
대구광역시 55
21.8%
북구 16
 
6.3%
수성구 12
 
4.8%
동구 8
 
3.2%
산격동 8
 
3.2%
중구 7
 
2.8%
신천동 4
 
1.6%
남구 4
 
1.6%
대명동 4
 
1.6%
지산동 3
 
1.2%
Other values (106) 131
52.0%
2024-04-21T07:04:42.422746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
18.0%
구 111
 
8.1%
1 72
 
5.3%
동 68
 
5.0%
대 65
 
4.7%
지 64
 
4.7%
시 59
 
4.3%
번 55
 
4.0%
광 55
 
4.0%
역 55
 
4.0%
Other values (106) 520
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
58.1%
Decimal Number 277
 
20.2%
Space Separator 246
 
18.0%
Dash Punctuation 45
 
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 111
13.9%
동 68
 
8.5%
대 65
 
8.2%
지 64
 
8.0%
시 59
 
7.4%
번 55
 
6.9%
광 55
 
6.9%
역 55
 
6.9%
산 18
 
2.3%
북 16
 
2.0%
Other values (89) 230
28.9%
Decimal Number
ValueCountFrequency (%)
1 72
26.0%
2 42
15.2%
0 29
10.5%
5 23
 
8.3%
4 22
 
7.9%
9 21
 
7.6%
7 20
 
7.2%
3 18
 
6.5%
6 17
 
6.1%
8 13
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
58.1%
Common 571
41.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 111
13.9%
동 68
 
8.5%
대 65
 
8.2%
지 64
 
8.0%
시 59
 
7.4%
번 55
 
6.9%
광 55
 
6.9%
역 55
 
6.9%
산 18
 
2.3%
북 16
 
2.0%
Other values (89) 230
28.9%
Common
ValueCountFrequency (%)
246
43.1%
1 72
 
12.6%
- 45
 
7.9%
2 42
 
7.4%
0 29
 
5.1%
5 23
 
4.0%
4 22
 
3.9%
9 21
 
3.7%
7 20
 
3.5%
3 18
 
3.2%
Other values (4) 33
 
5.8%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
58.1%
ASCII 574
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
42.9%
1 72
 
12.5%
- 45
 
7.8%
2 42
 
7.3%
0 29
 
5.1%
5 23
 
4.0%
4 22
 
3.8%
9 21
 
3.7%
7 20
 
3.5%
3 18
 
3.1%
Other values (7) 36
 
6.3%
Hangul
ValueCountFrequency (%)
구 111
13.9%
동 68
 
8.5%
대 65
 
8.2%
지 64
 
8.0%
시 59
 
7.4%
번 55
 
6.9%
광 55
 
6.9%
역 55
 
6.9%
산 18
 
2.3%
북 16
 
2.0%
Other values (89) 230
28.9%

도로명전체주소
Text

Distinct54
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size584.0 B
2024-04-21T07:04:43.494056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length29.280702
Min length21

Characters and Unicode

Total characters1669
Distinct characters147
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

Unique51 ?
Unique (%)89.5%

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 동성로6길 60 (공평동)
ValueCountFrequency (%)
대구광역시 57
 
16.8%
북구 16
 
4.7%
수성구 14
 
4.1%
동구 8
 
2.4%
산격동 8
 
2.4%
중구 7
 
2.1%
1층 5
 
1.5%
시지동 4
 
1.2%
신천동 4
 
1.2%
대명동 4
 
1.2%
Other values (161) 212
62.5%
2024-04-21T07:04:45.009115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
17.0%
구 120
 
7.2%
동 84
 
5.0%
대 82
 
4.9%
1 63
 
3.8%
시 63
 
3.8%
로 57
 
3.4%
역 57
 
3.4%
광 57
 
3.4%
) 55
 
3.3%
Other values (137) 748
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 976
58.5%
Space Separator 283
 
17.0%
Decimal Number 253
 
15.2%
Close Punctuation 55
 
3.3%
Open Punctuation 55
 
3.3%
Other Punctuation 33
 
2.0%
Dash Punctuation 10
 
0.6%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 120
 
12.3%
동 84
 
8.6%
대 82
 
8.4%
시 63
 
6.5%
로 57
 
5.8%
역 57
 
5.8%
광 57
 
5.8%
성 22
 
2.3%
산 18
 
1.8%
지 18
 
1.8%
Other values (118) 398
40.8%
Decimal Number
ValueCountFrequency (%)
1 63
24.9%
2 45
17.8%
3 30
11.9%
0 28
11.1%
4 19
 
7.5%
5 17
 
6.7%
6 16
 
6.3%
7 14
 
5.5%
8 12
 
4.7%
9 9
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 976
58.5%
Common 690
41.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 120
 
12.3%
동 84
 
8.6%
대 82
 
8.4%
시 63
 
6.5%
로 57
 
5.8%
역 57
 
5.8%
광 57
 
5.8%
성 22
 
2.3%
산 18
 
1.8%
지 18
 
1.8%
Other values (118) 398
40.8%
Common
ValueCountFrequency (%)
283
41.0%
1 63
 
9.1%
) 55
 
8.0%
( 55
 
8.0%
2 45
 
6.5%
, 33
 
4.8%
3 30
 
4.3%
0 28
 
4.1%
4 19
 
2.8%
5 17
 
2.5%
Other values (6) 62
 
9.0%
Latin
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 976
58.5%
ASCII 693
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
40.8%
1 63
 
9.1%
) 55
 
7.9%
( 55
 
7.9%
2 45
 
6.5%
, 33
 
4.8%
3 30
 
4.3%
0 28
 
4.0%
4 19
 
2.7%
5 17
 
2.5%
Other values (9) 65
 
9.4%
Hangul
ValueCountFrequency (%)
구 120
 
12.3%
동 84
 
8.6%
대 82
 
8.4%
시 63
 
6.5%
로 57
 
5.8%
역 57
 
5.8%
광 57
 
5.8%
성 22
 
2.3%
산 18
 
1.8%
지 18
 
1.8%
Other values (118) 398
40.8%

도로명우편번호
Real number (ℝ)

Distinct48
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41878.053
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:45.421302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41213.2
Q141516
median41921
Q342218
95-th percentile42800.4
Maximum43018
Range1982
Interquartile range (IQR)702

Descriptive statistics

Standard deviation480.80436
Coefficient of variation (CV)0.011481058
Kurtosis-0.4967766
Mean41878.053
Median Absolute Deviation (MAD)399
Skewness0.40323251
Sum2387049
Variance231172.84
MonotonicityNot monotonic
2024-04-21T07:04:45.871403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
42261 3
 
5.3%
41516 3
 
5.3%
41518 2
 
3.5%
42405 2
 
3.5%
41941 2
 
3.5%
41940 2
 
3.5%
41267 2
 
3.5%
41515 1
 
1.8%
41536 1
 
1.8%
42218 1
 
1.8%
Other values (38) 38
66.7%
ValueCountFrequency (%)
41036 1
1.8%
41164 1
1.8%
41206 1
1.8%
41215 1
1.8%
41249 1
1.8%
41256 1
1.8%
41267 2
3.5%
41457 1
1.8%
41461 1
1.8%
41477 1
1.8%
ValueCountFrequency (%)
43018 1
 
1.8%
42915 1
 
1.8%
42818 1
 
1.8%
42796 1
 
1.8%
42609 1
 
1.8%
42465 1
 
1.8%
42448 1
 
1.8%
42405 2
3.5%
42261 3
5.3%
42251 1
 
1.8%

사업장명
Text

Distinct54
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size584.0 B
2024-04-21T07:04:46.720000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.0701754
Min length3

Characters and Unicode

Total characters460
Distinct characters130
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

Unique51 ?
Unique (%)89.5%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row폴리파크(POLYPARK)
ValueCountFrequency (%)
폴리파크 14
 
16.3%
주식회사 7
 
8.1%
주)포파코 3
 
3.5%
컴패니언 2
 
2.3%
코메드 2
 
2.3%
포파코 2
 
2.3%
제이 2
 
2.3%
폴리파크(polypark 2
 
2.3%
bio-n 1
 
1.2%
송현점 1
 
1.2%
Other values (50) 50
58.1%
2024-04-21T07:04:47.947712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.3%
파 24
 
5.2%
리 20
 
4.3%
점 20
 
4.3%
크 19
 
4.1%
폴 18
 
3.9%
주 16
 
3.5%
사 15
 
3.3%
이 13
 
2.8%
( 12
 
2.6%
Other values (120) 274
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
79.1%
Uppercase Letter 41
 
8.9%
Space Separator 29
 
6.3%
Open Punctuation 12
 
2.6%
Close Punctuation 12
 
2.6%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 24
 
6.6%
리 20
 
5.5%
점 20
 
5.5%
크 19
 
5.2%
폴 18
 
4.9%
주 16
 
4.4%
사 15
 
4.1%
이 13
 
3.6%
회 9
 
2.5%
식 9
 
2.5%
Other values (99) 201
55.2%
Uppercase Letter
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
N 4
9.8%
P 4
9.8%
A 3
 
7.3%
S 3
 
7.3%
R 3
 
7.3%
B 2
 
4.9%
L 2
 
4.9%
K 2
 
4.9%
Other values (6) 8
19.5%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
79.1%
Common 55
 
12.0%
Latin 41
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 24
 
6.6%
리 20
 
5.5%
점 20
 
5.5%
크 19
 
5.2%
폴 18
 
4.9%
주 16
 
4.4%
사 15
 
4.1%
이 13
 
3.6%
회 9
 
2.5%
식 9
 
2.5%
Other values (99) 201
55.2%
Latin
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
N 4
9.8%
P 4
9.8%
A 3
 
7.3%
S 3
 
7.3%
R 3
 
7.3%
B 2
 
4.9%
L 2
 
4.9%
K 2
 
4.9%
Other values (6) 8
19.5%
Common
ValueCountFrequency (%)
29
52.7%
( 12
21.8%
) 12
21.8%
- 1
 
1.8%
& 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
79.1%
ASCII 96
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
30.2%
( 12
12.5%
) 12
12.5%
I 5
 
5.2%
O 5
 
5.2%
N 4
 
4.2%
P 4
 
4.2%
A 3
 
3.1%
S 3
 
3.1%
R 3
 
3.1%
Other values (11) 16
16.7%
Hangul
ValueCountFrequency (%)
파 24
 
6.6%
리 20
 
5.5%
점 20
 
5.5%
크 19
 
5.2%
폴 18
 
4.9%
주 16
 
4.4%
사 15
 
4.1%
이 13
 
3.6%
회 9
 
2.5%
식 9
 
2.5%
Other values (99) 201
55.2%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0175513 × 1013
Minimum2.0120614 × 1013
Maximum2.0200203 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:48.367421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.012846 × 1013
Q12.0180226 × 1013
median2.0180608 × 1013
Q32.0180727 × 1013
95-th percentile2.0192924 × 1013
Maximum2.0200203 × 1013
Range7.9589054 × 1010
Interquartile range (IQR)5.0103521 × 108

Descriptive statistics

Standard deviation1.8494358 × 1010
Coefficient of variation (CV)0.0009166735
Kurtosis2.8042845
Mean2.0175513 × 1013
Median Absolute Deviation (MAD)3.8202111 × 108
Skewness-1.7314046
Sum1.1500042 × 1015
Variance3.4204127 × 1020
MonotonicityNot monotonic
2024-04-21T07:04:48.841285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.8%
20180605162034 1
 
1.8%
20180614174352 1
 
1.8%
20171108165439 1
 
1.8%
20160323171659 1
 
1.8%
20190605102054 1
 
1.8%
20181022174952 1
 
1.8%
20181112172543 1
 
1.8%
20200113090315 1
 
1.8%
20191018172527 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
20120614131152 1
1.8%
20120828094312 1
1.8%
20121016110802 1
1.8%
20130321172849 1
1.8%
20140106104704 1
1.8%
20150721150716 1
1.8%
20150721151747 1
1.8%
20160125114353 1
1.8%
20160323171659 1
1.8%
20160419104757 1
1.8%
ValueCountFrequency (%)
20200203184842 1
1.8%
20200113090315 1
1.8%
20200102135238 1
1.8%
20191129113755 1
1.8%
20191112093251 1
1.8%
20191018172527 1
1.8%
20190830093114 1
1.8%
20190605102054 1
1.8%
20190329114628 1
1.8%
20190318173024 1
1.8%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size584.0 B
I
53 
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 53
93.0%
U 4
 
7.0%

Length

2024-04-21T07:04:49.265730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:49.564931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
93.0%
u 4
 
7.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct15
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size584.0 B
2018-08-31 23:59:59.0
43 
2019-03-31 02:20:09.0
 
1
2020-02-05 00:23:24.0
 
1
2019-01-11 02:40:00.0
 
1
2019-11-14 00:23:14.0
 
1
Other values (10)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)24.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 43
75.4%
2019-03-31 02:20:09.0 1
 
1.8%
2020-02-05 00:23:24.0 1
 
1.8%
2019-01-11 02:40:00.0 1
 
1.8%
2019-11-14 00:23:14.0 1
 
1.8%
2019-12-01 00:23:27.0 1
 
1.8%
2020-01-04 00:23:37.0 1
 
1.8%
2019-09-01 02:22:16.0 1
 
1.8%
2019-06-07 02:21:05.0 1
 
1.8%
2018-10-24 02:35:55.0 1
 
1.8%
Other values (5) 5
 
8.8%

Length

2024-04-21T07:04:49.876426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 43
37.7%
23:59:59.0 43
37.7%
02:40:00.0 3
 
2.6%
02:35:55.0 2
 
1.8%
02:22:16.0 1
 
0.9%
2019-03-20 1
 
0.9%
00:22:54.0 1
 
0.9%
2019-10-20 1
 
0.9%
00:23:25.0 1
 
0.9%
2020-01-15 1
 
0.9%
Other values (17) 17
 
14.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

좌표정보(X)
Real number (ℝ)

Distinct51
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344690.76
Minimum331994.27
Maximum353171.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:50.242763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331994.27
5-th percentile338517.52
Q1342647.27
median345337.36
Q3346573.79
95-th percentile352781.68
Maximum353171.44
Range21177.177
Interquartile range (IQR)3926.528

Descriptive statistics

Standard deviation4205.9268
Coefficient of variation (CV)0.012202029
Kurtosis2.0638783
Mean344690.76
Median Absolute Deviation (MAD)1662.6821
Skewness-0.69875408
Sum19647373
Variance17689820
MonotonicityNot monotonic
2024-04-21T07:04:50.648522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344686.259338 2
 
3.5%
344309.71562 2
 
3.5%
345793.311978 2
 
3.5%
353019.13771 2
 
3.5%
344912.358902 2
 
3.5%
342236.602185 2
 
3.5%
342983.980987 1
 
1.8%
352722.310665 1
 
1.8%
345870.989303 1
 
1.8%
345640.057516 1
 
1.8%
Other values (41) 41
71.9%
ValueCountFrequency (%)
331994.266957 1
1.8%
332317.0 1
1.8%
335095.041373 1
1.8%
339373.134791 1
1.8%
339514.103486 1
1.8%
339628.760658 1
1.8%
340194.786718 1
1.8%
340200.70685 1
1.8%
341094.574634 1
1.8%
341937.880214 1
1.8%
ValueCountFrequency (%)
353171.444006 1
1.8%
353019.13771 2
3.5%
352722.310665 1
1.8%
350685.592287 1
1.8%
348749.748951 1
1.8%
348301.66757 1
1.8%
348073.107864 1
1.8%
347513.970564 1
1.8%
347040.840981 1
1.8%
347032.489321 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct51
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264250.05
Minimum244698
Maximum270836.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size641.0 B
2024-04-21T07:04:51.054011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile259286.71
Q1261941.55
median264559.5
Q3266778
95-th percentile269186.15
Maximum270836.56
Range26138.565
Interquartile range (IQR)4836.4529

Descriptive statistics

Standard deviation4080.7263
Coefficient of variation (CV)0.01544267
Kurtosis8.2214736
Mean264250.05
Median Absolute Deviation (MAD)2617.9463
Skewness-1.8866881
Sum15062253
Variance16652327
MonotonicityNot monotonic
2024-04-21T07:04:51.627741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263958.880864 2
 
3.5%
264309.215111 2
 
3.5%
264564.232699 2
 
3.5%
261926.162918 2
 
3.5%
268253.830253 2
 
3.5%
263098.702086 2
 
3.5%
264559.497125 1
 
1.8%
261632.023405 1
 
1.8%
268737.493191 1
 
1.8%
268773.105736 1
 
1.8%
Other values (41) 41
71.9%
ValueCountFrequency (%)
244698.0 1
1.8%
257618.088478 1
1.8%
259111.444544 1
1.8%
259330.525763 1
1.8%
259460.119325 1
1.8%
259790.219749 1
1.8%
260134.448701 1
1.8%
260875.577524 1
1.8%
261178.396104 1
1.8%
261433.316797 1
1.8%
ValueCountFrequency (%)
270836.564701 1
1.8%
270282.005962 1
1.8%
270241.487523 1
1.8%
268922.318187 1
1.8%
268773.105736 1
1.8%
268737.493191 1
1.8%
268678.066448 1
1.8%
268573.519631 1
1.8%
268375.212247 1
1.8%
268253.830253 2
3.5%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size584.0 B
동물용의료용구판매업
57 

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 57
100.0%

Length

2024-04-21T07:04:51.849273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:52.011337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 57
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size584.0 B
000
45 
L00
12 

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 45
78.9%
L00 12
 
21.1%

Length

2024-04-21T07:04:52.175439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:04:52.339288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 45
78.9%
l00 12
 
21.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size641.0 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_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>
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_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>
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
4748동물용의료용구판매업02_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>
4849동물용의료용구판매업02_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>
4950동물용의료용구판매업02_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>
5051동물용의료용구판매업02_03_03_P346000034600000132016000220160511<NA>3폐업2폐업20180330<NA><NA><NA>7565033<NA><NA><NA>대구광역시 수성구 화랑로12길 8 (만촌동, 메트로월드)42038영신메디칼20180402094701I2018-08-31 23:59:59.0<NA>347513.970564264660.243759동물용의료용구판매업<NA><NA>000<NA>
5152동물용의료용구판매업02_03_03_P346000034600000132016000320160912<NA>3폐업2폐업20190304<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 천을로 35, 103동 2층 202호 (시지동, 시지미래하이츠)42261BIO-N20190304162127U2019-03-06 02:40:00.0<NA>353019.13771261926.162918동물용의료용구판매업<NA><NA>000<NA>
5253동물용의료용구판매업02_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>
5354동물용의료용구판매업02_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>
5455동물용의료용구판매업02_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>
5556동물용의료용구판매업02_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>
5657동물용의료용구판매업02_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>