Overview

Dataset statistics

Number of variables32
Number of observations69
Missing cells688
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.7 KiB
Average record size in memory277.9 B

Variable types

Numeric10
Categorical10
Unsupported8
Text4

Dataset

Description6270000_대구광역시_02_03_03_P_동물용의료용구판매업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089628&dataSetDetailId=DDI_0000089664&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (57.4%)Imbalance
영업상태명 is highly imbalanced (57.4%)Imbalance
상세영업상태코드 is highly imbalanced (57.4%)Imbalance
상세영업상태명 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 63 (91.3%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
소재지전화 has 16 (23.2%) missing valuesMissing
소재지면적 has 53 (76.8%) missing valuesMissing
소재지우편번호 has 69 (100.0%) missing valuesMissing
소재지전체주소 has 2 (2.9%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.4%) missing valuesMissing
좌표정보(Y) has 1 (1.4%) missing valuesMissing
상세업무구분명 has 69 (100.0%) missing valuesMissing
총종업원수 has 69 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세업무구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2024-04-20 20:21:32.183516
Analysis finished2024-04-20 20:21:32.848595
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:33.035837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2024-04-21T05:21:33.472063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
동물용의료용구판매업
69 

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 69
100.0%

Length

2024-04-21T05:21:33.892316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:34.200094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 69
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
02_03_03_P
69 

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 69
100.0%

Length

2024-04-21T05:21:34.521029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:34.825783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 69
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443768.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:35.099959image/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 deviation20371.653
Coefficient of variation (CV)0.0059155125
Kurtosis-0.97265911
Mean3443768.1
Median Absolute Deviation (MAD)10000
Skewness-0.3595355
Sum2.3762 × 108
Variance4.1500426 × 108
MonotonicityIncreasing
2024-04-21T05:21:35.457972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 20
29.0%
3460000 16
23.2%
3420000 10
14.5%
3410000 9
13.0%
3440000 4
 
5.8%
3470000 4
 
5.8%
3430000 3
 
4.3%
3480000 3
 
4.3%
ValueCountFrequency (%)
3410000 9
13.0%
3420000 10
14.5%
3430000 3
 
4.3%
3440000 4
 
5.8%
3450000 20
29.0%
3460000 16
23.2%
3470000 4
 
5.8%
3480000 3
 
4.3%
ValueCountFrequency (%)
3480000 3
 
4.3%
3470000 4
 
5.8%
3460000 16
23.2%
3450000 20
29.0%
3440000 4
 
5.8%
3430000 3
 
4.3%
3420000 10
14.5%
3410000 9
13.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4437681 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:35.864653image/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 deviation2.0371653 × 1015
Coefficient of variation (CV)0.0059155125
Kurtosis-0.97265911
Mean3.4437681 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.3595355
Sum5.315256 × 1018
Variance4.1500426 × 1030
MonotonicityNot monotonic
2024-04-21T05:21:36.524779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320210001 1
 
1.4%
345000001320210002 1
 
1.4%
346000001320160002 1
 
1.4%
346000001320200001 1
 
1.4%
346000001320210001 1
 
1.4%
346000001320180006 1
 
1.4%
346000001320180008 1
 
1.4%
345000001320180007 1
 
1.4%
345000001320210001 1
 
1.4%
346000001320160003 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
341000001319790001 1
1.4%
341000001320120001 1
1.4%
341000001320150001 1
1.4%
341000001320150002 1
1.4%
341000001320160001 1
1.4%
341000001320180001 1
1.4%
341000001320180002 1
1.4%
341000001320200001 1
1.4%
341000001320210001 1
1.4%
342000001320120001 1
1.4%
ValueCountFrequency (%)
348000001320200001 1
1.4%
348000001320180002 1
1.4%
348000001320180001 1
1.4%
347000001320210001 1
1.4%
347000001320180003 1
1.4%
347000001320180002 1
1.4%
347000001320180001 1
1.4%
346000001320210001 1
1.4%
346000001320200001 1
1.4%
346000001320190002 1
1.4%

인허가일자
Real number (ℝ)

Distinct52
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20173636
Minimum19790411
Maximum20210405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:36.959569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20124738
Q120180226
median20180608
Q320191018
95-th percentile20210230
Maximum20210405
Range419994
Interquartile range (IQR)10792

Descriptive statistics

Standard deviation51366.448
Coefficient of variation (CV)0.0025462167
Kurtosis46.735425
Mean20173636
Median Absolute Deviation (MAD)9905
Skewness-6.3100793
Sum1.3919809 × 109
Variance2.6385119 × 109
MonotonicityNot monotonic
2024-04-21T05:21:37.409087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180529 4
 
5.8%
20180614 4
 
5.8%
20180605 4
 
5.8%
20180607 4
 
5.8%
20180608 3
 
4.3%
20180611 3
 
4.3%
20150721 2
 
2.9%
20210113 1
 
1.4%
20200424 1
 
1.4%
20180816 1
 
1.4%
Other values (42) 42
60.9%
ValueCountFrequency (%)
19790411 1
1.4%
20120614 1
1.4%
20120828 1
1.4%
20121016 1
1.4%
20130321 1
1.4%
20131127 1
1.4%
20140106 1
1.4%
20150721 2
2.9%
20160125 1
1.4%
20160323 1
1.4%
ValueCountFrequency (%)
20210405 1
1.4%
20210318 1
1.4%
20210317 1
1.4%
20210308 1
1.4%
20210113 1
1.4%
20201224 1
1.4%
20200914 1
1.4%
20200901 1
1.4%
20200424 1
1.4%
20200420 1
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
1
63 
3
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 63
91.3%
3 6
 
8.7%

Length

2024-04-21T05:21:37.833089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:38.147887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
91.3%
3 6
 
8.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
영업/정상
63 
폐업
 
6

Length

Max length5
Median length5
Mean length4.7391304
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 63
91.3%
폐업 6
 
8.7%

Length

2024-04-21T05:21:38.495337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:38.820341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 63
91.3%
폐업 6
 
8.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
0
63 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 63
91.3%
2 6
 
8.7%

Length

2024-04-21T05:21:39.151533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:39.463577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
91.3%
2 6
 
8.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
정상
63 
폐업
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 63
91.3%
폐업 6
 
8.7%

Length

2024-04-21T05:21:39.794363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:40.107008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 63
91.3%
폐업 6
 
8.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing63
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean20190347
Minimum20160930
Maximum20210210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:40.400115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation18732.212
Coefficient of variation (CV)0.00092778055
Kurtosis-0.16706119
Mean20190347
Median Absolute Deviation (MAD)14935.5
Skewness-0.49293844
Sum1.2114208 × 108
Variance3.5089575 × 108
MonotonicityNot monotonic
2024-04-21T05:21:40.777553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20160930 1
 
1.4%
20210201 1
 
1.4%
20190109 1
 
1.4%
20210210 1
 
1.4%
20180330 1
 
1.4%
20190304 1
 
1.4%
(Missing) 63
91.3%
ValueCountFrequency (%)
20160930 1
1.4%
20180330 1
1.4%
20190109 1
1.4%
20190304 1
1.4%
20210201 1
1.4%
20210210 1
1.4%
ValueCountFrequency (%)
20210210 1
1.4%
20210201 1
1.4%
20190304 1
1.4%
20190109 1
1.4%
20180330 1
1.4%
20160930 1
1.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

소재지전화
Text

MISSING 

Distinct51
Distinct (%)96.2%
Missing16
Missing (%)23.2%
Memory size680.0 B
2024-04-21T05:21:41.661433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.962264
Min length7

Characters and Unicode

Total characters581
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

Unique49 ?
Unique (%)92.5%

Sample

1st row428-2020
2nd row557-9044
3rd row422-4327
4th row422-4327
5th row424-9944
ValueCountFrequency (%)
0536262605 2
 
3.8%
422-4327 2
 
3.8%
053-635-4313 1
 
1.9%
0537638866 1
 
1.9%
053-637-0279 1
 
1.9%
053-587-4317 1
 
1.9%
428-2020 1
 
1.9%
7565033 1
 
1.9%
053-382-4897 1
 
1.9%
053-384-0152 1
 
1.9%
Other values (41) 41
77.4%
2024-04-21T05:21:42.943074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 95
16.4%
5 88
15.1%
- 78
13.4%
0 73
12.6%
4 47
8.1%
7 46
7.9%
2 45
7.7%
6 41
7.1%
8 27
 
4.6%
1 24
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 503
86.6%
Dash Punctuation 78
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 95
18.9%
5 88
17.5%
0 73
14.5%
4 47
9.3%
7 46
9.1%
2 45
8.9%
6 41
8.2%
8 27
 
5.4%
1 24
 
4.8%
9 17
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 581
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 95
16.4%
5 88
15.1%
- 78
13.4%
0 73
12.6%
4 47
8.1%
7 46
7.9%
2 45
7.7%
6 41
7.1%
8 27
 
4.6%
1 24
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 95
16.4%
5 88
15.1%
- 78
13.4%
0 73
12.6%
4 47
8.1%
7 46
7.9%
2 45
7.7%
6 41
7.1%
8 27
 
4.6%
1 24
 
4.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)93.8%
Missing53
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean316.59812
Minimum0
Maximum1127.63
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:43.314786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation326.74906
Coefficient of variation (CV)1.0320625
Kurtosis2.2056768
Mean316.59812
Median Absolute Deviation (MAD)177.18
Skewness1.6206827
Sum5065.57
Variance106764.95
MonotonicityNot monotonic
2024-04-21T05:21:43.664390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
441.2 2
 
2.9%
0.0 1
 
1.4%
438.0 1
 
1.4%
211.3 1
 
1.4%
113.74 1
 
1.4%
66.12 1
 
1.4%
258.18 1
 
1.4%
262.03 1
 
1.4%
996.42 1
 
1.4%
75.0 1
 
1.4%
Other values (5) 5
 
7.2%
(Missing) 53
76.8%
ValueCountFrequency (%)
0.0 1
1.4%
48.0 1
1.4%
49.0 1
1.4%
66.12 1
1.4%
75.0 1
1.4%
113.74 1
1.4%
207.75 1
1.4%
211.3 1
1.4%
258.18 1
1.4%
262.03 1
1.4%
ValueCountFrequency (%)
1127.63 1
1.4%
996.42 1
1.4%
441.2 2
2.9%
438.0 1
1.4%
330.0 1
1.4%
262.03 1
1.4%
258.18 1
1.4%
211.3 1
1.4%
207.75 1
1.4%
113.74 1
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

소재지전체주소
Text

MISSING 

Distinct64
Distinct (%)95.5%
Missing2
Missing (%)2.9%
Memory size680.0 B
2024-04-21T05:21:44.817601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.402985
Min length17

Characters and Unicode

Total characters1635
Distinct characters126
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

Unique61 ?
Unique (%)91.0%

Sample

1st row대구광역시 중구 동성로2가 40-9
2nd row대구광역시 중구 동성로2가 88-25 1637호
3rd row대구광역시 중구 공평동 59-1번지
4th row대구광역시 중구 공평동 59-1번지
5th row대구광역시 중구 대봉동 715-15번지
ValueCountFrequency (%)
대구광역시 67
21.6%
북구 20
 
6.5%
수성구 14
 
4.5%
산격동 11
 
3.5%
동구 10
 
3.2%
중구 9
 
2.9%
신천동 4
 
1.3%
시지동 4
 
1.3%
남구 4
 
1.3%
대명동 4
 
1.3%
Other values (133) 163
52.6%
2024-04-21T05:21:46.402703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
18.5%
구 134
 
8.2%
1 83
 
5.1%
동 82
 
5.0%
대 78
 
4.8%
시 72
 
4.4%
광 67
 
4.1%
역 67
 
4.1%
지 66
 
4.0%
번 56
 
3.4%
Other values (116) 627
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
57.5%
Decimal Number 333
 
20.4%
Space Separator 303
 
18.5%
Dash Punctuation 53
 
3.2%
Uppercase Letter 3
 
0.2%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 134
14.3%
동 82
 
8.7%
대 78
 
8.3%
시 72
 
7.7%
광 67
 
7.1%
역 67
 
7.1%
지 66
 
7.0%
번 56
 
6.0%
산 21
 
2.2%
북 20
 
2.1%
Other values (99) 277
29.5%
Decimal Number
ValueCountFrequency (%)
1 83
24.9%
2 52
15.6%
5 30
 
9.0%
0 29
 
8.7%
4 27
 
8.1%
7 24
 
7.2%
9 24
 
7.2%
3 24
 
7.2%
6 23
 
6.9%
8 17
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 940
57.5%
Common 692
42.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 134
14.3%
동 82
 
8.7%
대 78
 
8.3%
시 72
 
7.7%
광 67
 
7.1%
역 67
 
7.1%
지 66
 
7.0%
번 56
 
6.0%
산 21
 
2.2%
북 20
 
2.1%
Other values (99) 277
29.5%
Common
ValueCountFrequency (%)
303
43.8%
1 83
 
12.0%
- 53
 
7.7%
2 52
 
7.5%
5 30
 
4.3%
0 29
 
4.2%
4 27
 
3.9%
7 24
 
3.5%
9 24
 
3.5%
3 24
 
3.5%
Other values (4) 43
 
6.2%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
57.5%
ASCII 695
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303
43.6%
1 83
 
11.9%
- 53
 
7.6%
2 52
 
7.5%
5 30
 
4.3%
0 29
 
4.2%
4 27
 
3.9%
7 24
 
3.5%
9 24
 
3.5%
3 24
 
3.5%
Other values (7) 46
 
6.6%
Hangul
ValueCountFrequency (%)
구 134
14.3%
동 82
 
8.7%
대 78
 
8.3%
시 72
 
7.7%
광 67
 
7.1%
역 67
 
7.1%
지 66
 
7.0%
번 56
 
6.0%
산 21
 
2.2%
북 20
 
2.1%
Other values (99) 277
29.5%

도로명전체주소
Text

Distinct66
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-04-21T05:21:47.498614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length29.26087
Min length21

Characters and Unicode

Total characters2019
Distinct characters156
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

Unique63 ?
Unique (%)91.3%

Sample

1st row대구광역시 중구 동성로 50-1, 1층 (동성로2가)
2nd row대구광역시 중구 국채보상로 586, 1637호 (동성로2가)
3rd row대구광역시 중구 동성로6길 60 (공평동)
4th row대구광역시 중구 동성로6길 60 (공평동)
5th row대구광역시 중구 대봉로 278 (대봉동)
ValueCountFrequency (%)
대구광역시 69
 
16.7%
북구 20
 
4.9%
수성구 16
 
3.9%
산격동 11
 
2.7%
동구 10
 
2.4%
중구 9
 
2.2%
1층 7
 
1.7%
2층 6
 
1.5%
달구벌대로 5
 
1.2%
시지동 5
 
1.2%
Other values (193) 254
61.7%
2024-04-21T05:21:49.029804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
17.0%
구 145
 
7.2%
동 100
 
5.0%
대 98
 
4.9%
시 76
 
3.8%
1 75
 
3.7%
로 71
 
3.5%
광 69
 
3.4%
역 69
 
3.4%
( 66
 
3.3%
Other values (146) 906
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1175
58.2%
Space Separator 344
 
17.0%
Decimal Number 311
 
15.4%
Open Punctuation 66
 
3.3%
Close Punctuation 66
 
3.3%
Other Punctuation 40
 
2.0%
Dash Punctuation 13
 
0.6%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 145
 
12.3%
동 100
 
8.5%
대 98
 
8.3%
시 76
 
6.5%
로 71
 
6.0%
광 69
 
5.9%
역 69
 
5.9%
성 27
 
2.3%
북 22
 
1.9%
산 21
 
1.8%
Other values (127) 477
40.6%
Decimal Number
ValueCountFrequency (%)
1 75
24.1%
2 55
17.7%
3 36
11.6%
0 35
11.3%
4 23
 
7.4%
5 23
 
7.4%
6 21
 
6.8%
7 18
 
5.8%
8 15
 
4.8%
9 10
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
P 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
344
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1175
58.2%
Common 841
41.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 145
 
12.3%
동 100
 
8.5%
대 98
 
8.3%
시 76
 
6.5%
로 71
 
6.0%
광 69
 
5.9%
역 69
 
5.9%
성 27
 
2.3%
북 22
 
1.9%
산 21
 
1.8%
Other values (127) 477
40.6%
Common
ValueCountFrequency (%)
344
40.9%
1 75
 
8.9%
( 66
 
7.8%
) 66
 
7.8%
2 55
 
6.5%
, 40
 
4.8%
3 36
 
4.3%
0 35
 
4.2%
4 23
 
2.7%
5 23
 
2.7%
Other values (6) 78
 
9.3%
Latin
ValueCountFrequency (%)
M 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1175
58.2%
ASCII 844
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
40.8%
1 75
 
8.9%
( 66
 
7.8%
) 66
 
7.8%
2 55
 
6.5%
, 40
 
4.7%
3 36
 
4.3%
0 35
 
4.1%
4 23
 
2.7%
5 23
 
2.7%
Other values (9) 81
 
9.6%
Hangul
ValueCountFrequency (%)
구 145
 
12.3%
동 100
 
8.5%
대 98
 
8.3%
시 76
 
6.5%
로 71
 
6.0%
광 69
 
5.9%
역 69
 
5.9%
성 27
 
2.3%
북 22
 
1.9%
산 21
 
1.8%
Other values (127) 477
40.6%

도로명우편번호
Real number (ℝ)

Distinct60
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41872.783
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:49.447110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41209.6
Q141515
median41913
Q342218
95-th percentile42824.6
Maximum43018
Range1982
Interquartile range (IQR)703

Descriptive statistics

Standard deviation497.85463
Coefficient of variation (CV)0.011889695
Kurtosis-0.48975255
Mean41872.783
Median Absolute Deviation (MAD)395
Skewness0.47015974
Sum2889222
Variance247859.23
MonotonicityNot monotonic
2024-04-21T05:21:49.904464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 3
 
4.3%
42261 3
 
4.3%
41518 2
 
2.9%
41941 2
 
2.9%
41940 2
 
2.9%
42405 2
 
2.9%
41267 2
 
2.9%
42020 1
 
1.4%
42038 1
 
1.4%
42262 1
 
1.4%
Other values (50) 50
72.5%
ValueCountFrequency (%)
41036 1
1.4%
41077 1
1.4%
41164 1
1.4%
41206 1
1.4%
41215 1
1.4%
41238 1
1.4%
41249 1
1.4%
41256 1
1.4%
41267 2
2.9%
41416 1
1.4%
ValueCountFrequency (%)
43018 1
1.4%
42955 1
1.4%
42915 1
1.4%
42829 1
1.4%
42818 1
1.4%
42796 1
1.4%
42609 1
1.4%
42465 1
1.4%
42448 1
1.4%
42405 2
2.9%

사업장명
Text

Distinct65
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-04-21T05:21:50.760500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.057971
Min length3

Characters and Unicode

Total characters556
Distinct characters149
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)88.4%

Sample

1st row삼아유통
2nd row에스엠진단
3rd row폴리파크(POLYPARK)
4th row폴리파크(POLYPARK)
5th row주식회사 대구축산
ValueCountFrequency (%)
폴리파크 15
 
14.6%
주식회사 9
 
8.7%
주)포파코 3
 
2.9%
폴리파크(polypark 2
 
1.9%
포파코 2
 
1.9%
제이 2
 
1.9%
삼아유통 2
 
1.9%
사이언스 2
 
1.9%
코메드 2
 
1.9%
컴패니언 2
 
1.9%
Other values (62) 62
60.2%
2024-04-21T05:21:52.030061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
6.1%
파 27
 
4.9%
리 22
 
4.0%
점 22
 
4.0%
크 21
 
3.8%
사 20
 
3.6%
폴 20
 
3.6%
주 18
 
3.2%
이 17
 
3.1%
) 13
 
2.3%
Other values (139) 342
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
80.8%
Uppercase Letter 41
 
7.4%
Space Separator 34
 
6.1%
Close Punctuation 13
 
2.3%
Open Punctuation 13
 
2.3%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 27
 
6.0%
리 22
 
4.9%
점 22
 
4.9%
크 21
 
4.7%
사 20
 
4.5%
폴 20
 
4.5%
주 18
 
4.0%
이 17
 
3.8%
스 13
 
2.9%
회 11
 
2.4%
Other values (114) 258
57.5%
Uppercase Letter
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
N 4
9.8%
P 4
9.8%
S 3
 
7.3%
R 3
 
7.3%
A 3
 
7.3%
B 2
 
4.9%
E 2
 
4.9%
L 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
80.8%
Common 63
 
11.3%
Latin 44
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 27
 
6.0%
리 22
 
4.9%
점 22
 
4.9%
크 21
 
4.7%
사 20
 
4.5%
폴 20
 
4.5%
주 18
 
4.0%
이 17
 
3.8%
스 13
 
2.9%
회 11
 
2.4%
Other values (114) 258
57.5%
Latin
ValueCountFrequency (%)
I 5
11.4%
O 5
11.4%
N 4
 
9.1%
P 4
 
9.1%
S 3
 
6.8%
R 3
 
6.8%
A 3
 
6.8%
B 2
 
4.5%
E 2
 
4.5%
L 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
34
54.0%
) 13
 
20.6%
( 13
 
20.6%
- 1
 
1.6%
; 1
 
1.6%
& 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
80.8%
ASCII 107
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
31.8%
) 13
 
12.1%
( 13
 
12.1%
I 5
 
4.7%
O 5
 
4.7%
N 4
 
3.7%
P 4
 
3.7%
S 3
 
2.8%
R 3
 
2.8%
A 3
 
2.8%
Other values (15) 20
18.7%
Hangul
ValueCountFrequency (%)
파 27
 
6.0%
리 22
 
4.9%
점 22
 
4.9%
크 21
 
4.7%
사 20
 
4.5%
폴 20
 
4.5%
주 18
 
4.0%
이 17
 
3.8%
스 13
 
2.9%
회 11
 
2.4%
Other values (114) 258
57.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0182456 × 1013
Minimum2.0120614 × 1013
Maximum2.0210405 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:52.454708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0144352 × 1013
Q12.0180529 × 1013
median2.0180614 × 1013
Q32.0191129 × 1013
95-th percentile2.0210314 × 1013
Maximum2.0210405 × 1013
Range8.979102 × 1010
Interquartile range (IQR)1.0599948 × 1010

Descriptive statistics

Standard deviation2.0022656 × 1010
Coefficient of variation (CV)0.00099208223
Kurtosis2.3919103
Mean2.0182456 × 1013
Median Absolute Deviation (MAD)9.7039989 × 109
Skewness-1.2408425
Sum1.3925895 × 1015
Variance4.0090677 × 1020
MonotonicityNot monotonic
2024-04-21T05:21:52.899950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210113172340 1
 
1.4%
20210318151511 1
 
1.4%
20180402094701 1
 
1.4%
20200424152544 1
 
1.4%
20210405151408 1
 
1.4%
20180611105147 1
 
1.4%
20180611110414 1
 
1.4%
20181022174952 1
 
1.4%
20210308104752 1
 
1.4%
20190304162127 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
20120614131152 1
1.4%
20120828094312 1
1.4%
20121016110802 1
1.4%
20140106104704 1
1.4%
20150721150716 1
1.4%
20150721151747 1
1.4%
20160125114353 1
1.4%
20160323171659 1
1.4%
20160419104757 1
1.4%
20160930135708 1
1.4%
ValueCountFrequency (%)
20210405151408 1
1.4%
20210325091045 1
1.4%
20210318151511 1
1.4%
20210317163312 1
1.4%
20210308104752 1
1.4%
20210210160402 1
1.4%
20210203141927 1
1.4%
20210113172340 1
1.4%
20201224091825 1
1.4%
20201104175154 1
1.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
I
61 
U
8 

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 61
88.4%
U 8
 
11.6%

Length

2024-04-21T05:21:53.312132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:53.629543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 61
88.4%
u 8
 
11.6%

데이터갱신일자
Categorical

Distinct29
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
2018-08-31 23:59:59.0
41 
2019-11-14 00:23:14.0
 
1
2020-11-06 02:40:00.0
 
1
2020-03-06 00:23:23.0
 
1
2020-02-05 00:23:24.0
 
1
Other values (24)
24 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique28 ?
Unique (%)40.6%

Sample

1st row2021-01-15 00:23:04.0
2nd row2020-12-26 00:23:21.0
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 41
59.4%
2019-11-14 00:23:14.0 1
 
1.4%
2020-11-06 02:40:00.0 1
 
1.4%
2020-03-06 00:23:23.0 1
 
1.4%
2020-02-05 00:23:24.0 1
 
1.4%
2019-03-31 02:20:09.0 1
 
1.4%
2021-02-05 02:40:00.0 1
 
1.4%
2019-01-11 02:40:00.0 1
 
1.4%
2020-01-15 00:23:25.0 1
 
1.4%
2021-02-12 02:40:00.0 1
 
1.4%
Other values (19) 19
27.5%

Length

2024-04-21T05:21:53.974115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 41
29.7%
23:59:59.0 41
29.7%
02:40:00.0 7
 
5.1%
00:22:59.0 2
 
1.4%
00:23:32.0 2
 
1.4%
02:35:55.0 2
 
1.4%
2019-03-20 1
 
0.7%
2019-03-06 1
 
0.7%
00:23:27.0 1
 
0.7%
00:23:04.0 1
 
0.7%
Other values (39) 39
28.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)91.2%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean344893.99
Minimum331994.27
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:54.357589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331994.27
5-th percentile336894.06
Q1342899.8
median345388.2
Q3346751.9
95-th percentile353019.14
Maximum356611.47
Range24617.204
Interquartile range (IQR)3852.0981

Descriptive statistics

Standard deviation4433.1025
Coefficient of variation (CV)0.012853522
Kurtosis1.7816779
Mean344893.99
Median Absolute Deviation (MAD)1628.0623
Skewness-0.36349937
Sum23452791
Variance19652398
MonotonicityNot monotonic
2024-04-21T05:21:54.813788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344309.71562 2
 
2.9%
342236.602185 2
 
2.9%
344686.259338 2
 
2.9%
344912.358902 2
 
2.9%
345793.311978 2
 
2.9%
353019.13771 2
 
2.9%
344053.360694 1
 
1.4%
346988.501145 1
 
1.4%
347513.970564 1
 
1.4%
353212.634985 1
 
1.4%
Other values (52) 52
75.4%
ValueCountFrequency (%)
331994.266957 1
1.4%
332317.0 1
1.4%
335095.041373 1
1.4%
335559.179282 1
1.4%
339373.134791 1
1.4%
339514.103486 1
1.4%
339628.760658 1
1.4%
340194.786718 1
1.4%
340200.70685 1
1.4%
341094.574634 1
1.4%
ValueCountFrequency (%)
356611.471345 1
1.4%
353212.634985 1
1.4%
353171.444006 1
1.4%
353019.13771 2
2.9%
352722.310665 1
1.4%
350685.592287 1
1.4%
348749.748951 1
1.4%
348301.66757 1
1.4%
348073.107864 1
1.4%
347890.197458 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)91.2%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean264456.83
Minimum244698
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-21T05:21:55.208458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile259188.12
Q1262544.79
median264564.23
Q3267371.32
95-th percentile269779.78
Maximum273217.03
Range28519.03
Interquartile range (IQR)4826.5324

Descriptive statistics

Standard deviation4094.9417
Coefficient of variation (CV)0.015484349
Kurtosis6.9899023
Mean264456.83
Median Absolute Deviation (MAD)2630.3758
Skewness-1.5761147
Sum17983064
Variance16768548
MonotonicityNot monotonic
2024-04-21T05:21:55.874186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264309.215111 2
 
2.9%
263098.702086 2
 
2.9%
263958.880864 2
 
2.9%
268253.830253 2
 
2.9%
264564.232699 2
 
2.9%
261926.162918 2
 
2.9%
264627.11698 1
 
1.4%
259330.525763 1
 
1.4%
264660.243759 1
 
1.4%
261709.94127 1
 
1.4%
Other values (52) 52
75.4%
ValueCountFrequency (%)
244698.0 1
1.4%
257163.326287 1
1.4%
257618.088478 1
1.4%
259111.444544 1
1.4%
259330.525763 1
1.4%
259460.119325 1
1.4%
259790.219749 1
1.4%
260134.448701 1
1.4%
260875.577524 1
1.4%
261178.396104 1
1.4%
ValueCountFrequency (%)
273217.030061 1
1.4%
270836.564701 1
1.4%
270282.005962 1
1.4%
270241.487523 1
1.4%
268922.318187 1
1.4%
268870.659507 1
1.4%
268773.105736 1
1.4%
268737.493191 1
1.4%
268678.066448 1
1.4%
268573.519631 1
1.4%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
동물용의료용구판매업
69 

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 69
100.0%

Length

2024-04-21T05:21:56.288908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:56.597402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 69
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
000
55 
L00
14 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 55
79.7%
L00 14
 
20.3%

Length

2024-04-21T05:21:56.926698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:21:57.238289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 55
79.7%
l00 14
 
20.3%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
01동물용의료용구판매업02_03_03_P341000034100000132021000120210113<NA>1영업/정상0정상<NA><NA><NA><NA>428-2020<NA><NA>대구광역시 중구 동성로2가 40-9대구광역시 중구 동성로 50-1, 1층 (동성로2가)41913삼아유통20210113172340I2021-01-15 00:23:04.0<NA>344053.360694264627.11698동물용의료용구판매업<NA>000<NA>
12동물용의료용구판매업02_03_03_P341000034100000132020000120201224<NA>1영업/정상0정상<NA><NA><NA><NA>557-9044<NA><NA>대구광역시 중구 동성로2가 88-25 1637호대구광역시 중구 국채보상로 586, 1637호 (동성로2가)41937에스엠진단20201224091825I2020-12-26 00:23:21.0<NA>343959.823762264529.39356동물용의료용구판매업<NA>000<NA>
23동물용의료용구판매업02_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>000<NA>
34동물용의료용구판매업02_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>000<NA>
45동물용의료용구판매업02_03_03_P341000034100000131979000119790411<NA>3폐업2폐업20160930<NA><NA><NA>424-99440.0<NA>대구광역시 중구 대봉동 715-15번지대구광역시 중구 대봉로 278 (대봉동)41950주식회사 대구축산20160930135708I2018-08-31 23:59:59.0<NA>344432.563324263763.687867동물용의료용구판매업<NA>000<NA>
56동물용의료용구판매업02_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>000<NA>
67동물용의료용구판매업02_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>000<NA>
78동물용의료용구판매업02_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>L00<NA>
89동물용의료용구판매업02_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>L00<NA>
910동물용의료용구판매업02_03_03_P342000034200000132020000320200914<NA>1영업/정상0정상<NA><NA><NA><NA>053-965-0945<NA><NA>대구광역시 동구 괴전동 107대구광역시 동구 반야월북로 390 (괴전동)41077나뚜라동물의료기기판매20201104175154U2020-11-06 02:40:00.0<NA>356611.471345265191.280265동물용의료용구판매업<NA>L00<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
5960동물용의료용구판매업02_03_03_P346000034600000132018000120180528<NA>1영업/정상0정상<NA><NA><NA><NA>0537832458<NA><NA>대구광역시 수성구 지산동 1157-7번지대구광역시 수성구 지범로 65-6 (지산동)42187폴리파크지산점20180528162537I2018-08-31 23:59:59.0<NA>347032.489321259790.219749동물용의료용구판매업<NA>000<NA>
6061동물용의료용구판매업02_03_03_P346000034600000132016000120160125<NA>1영업/정상0정상<NA><NA><NA><NA>745-2326<NA><NA>대구광역시 수성구 만촌동 991-4번지대구광역시 수성구 충의로6길 42 (만촌동)42052디에스팜20160125114353I2018-08-31 23:59:59.0<NA>348749.748951264167.639535동물용의료용구판매업<NA>000<NA>
6162동물용의료용구판매업02_03_03_P346000034600000132018000220180605<NA>1영업/정상0정상<NA><NA><NA><NA>0537638866<NA><NA>대구광역시 수성구 상동 162-4번지 대구한의대, 대구한방병원,대구TP한방센터대구광역시 수성구 신천동로 136, 대구한의대, 대구한방병원,대구TP한방센터 402호 (상동)42158한국동물혈액은행바이오주식회사20180605175351I2018-08-31 23:59:59.0<NA>345206.578526260875.577524동물용의료용구판매업<NA>000<NA>
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