Overview

Dataset statistics

Number of variables32
Number of observations74
Missing cells662
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory277.8 B

Variable types

Numeric10
Categorical11
Unsupported7
Text4

Dataset

Description6270000_대구광역시_02_03_03_P_동물용의료용구판매업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092187&dataSetDetailId=DDI_0000092223&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (50.6%)Imbalance
영업상태명 is highly imbalanced (50.6%)Imbalance
상세영업상태코드 is highly imbalanced (50.6%)Imbalance
상세영업상태명 is highly imbalanced (50.6%)Imbalance
총종업원수 is highly imbalanced (59.4%)Imbalance
인허가취소일자 has 74 (100.0%) missing valuesMissing
폐업일자 has 66 (89.2%) missing valuesMissing
휴업시작일자 has 74 (100.0%) missing valuesMissing
휴업종료일자 has 74 (100.0%) missing valuesMissing
재개업일자 has 74 (100.0%) missing valuesMissing
소재지전화 has 18 (24.3%) missing valuesMissing
소재지면적 has 56 (75.7%) missing valuesMissing
소재지우편번호 has 74 (100.0%) missing valuesMissing
소재지전체주소 has 2 (2.7%) missing valuesMissing
업태구분명 has 74 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.4%) missing valuesMissing
좌표정보(Y) has 1 (1.4%) missing valuesMissing
상세업무구분명 has 74 (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
소재지면적 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2024-04-18 05:54:29.699790
Analysis finished2024-04-18 05:54:30.096160
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:30.161541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2024-04-18T14:54:30.291082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (64) 64
86.5%
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 (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
동물용의료용구판매업
74 

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 74
100.0%

Length

2024-04-18T14:54:30.412586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:30.501235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 74
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
02_03_03_P
74 

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 74
100.0%

Length

2024-04-18T14:54:30.599163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:30.698040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 74
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443918.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:30.792556image/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 deviation20394.571
Coefficient of variation (CV)0.0059219081
Kurtosis-0.96217013
Mean3443918.9
Median Absolute Deviation (MAD)10000
Skewness-0.38244773
Sum2.5485 × 108
Variance4.1593854 × 108
MonotonicityIncreasing
2024-04-18T14:54:31.874368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 21
28.4%
3460000 17
23.0%
3410000 10
13.5%
3420000 10
13.5%
3440000 5
 
6.8%
3470000 5
 
6.8%
3430000 3
 
4.1%
3480000 3
 
4.1%
ValueCountFrequency (%)
3410000 10
13.5%
3420000 10
13.5%
3430000 3
 
4.1%
3440000 5
 
6.8%
3450000 21
28.4%
3460000 17
23.0%
3470000 5
 
6.8%
3480000 3
 
4.1%
ValueCountFrequency (%)
3480000 3
 
4.1%
3470000 5
 
6.8%
3460000 17
23.0%
3450000 21
28.4%
3440000 5
 
6.8%
3430000 3
 
4.1%
3420000 10
13.5%
3410000 10
13.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4439189 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:31.996234image/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 deviation2.0394571 × 1015
Coefficient of variation (CV)0.0059219081
Kurtosis-0.96217013
Mean3.4439189 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.38244773
Sum7.038256 × 1018
Variance4.1593854 × 1030
MonotonicityNot monotonic
2024-04-18T14:54:32.132900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.4%
346000001320180006 1
 
1.4%
346000001320180004 1
 
1.4%
346000001320180003 1
 
1.4%
346000001320180002 1
 
1.4%
346000001320160001 1
 
1.4%
346000001320180001 1
 
1.4%
346000001320170001 1
 
1.4%
345000001320200001 1
 
1.4%
345000001320180007 1
 
1.4%
Other values (64) 64
86.5%
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%
341000001320210002 1
1.4%
ValueCountFrequency (%)
348000001320200001 1
1.4%
348000001320180002 1
1.4%
348000001320180001 1
1.4%
347000001320210002 1
1.4%
347000001320210001 1
1.4%
347000001320180003 1
1.4%
347000001320180002 1
1.4%
347000001320180001 1
1.4%
346000001320220001 1
1.4%
346000001320210001 1
1.4%

인허가일자
Real number (ℝ)

Distinct57
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20176275
Minimum19790411
Maximum20220118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:32.279340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20127064
Q120180379
median20180611
Q320200110
95-th percentile20210646
Maximum20220118
Range429707
Interquartile range (IQR)19731.5

Descriptive statistics

Standard deviation50558.582
Coefficient of variation (CV)0.0025058433
Kurtosis47.467294
Mean20176275
Median Absolute Deviation (MAD)10313
Skewness-6.2794785
Sum1.4930443 × 109
Variance2.5561702 × 109
MonotonicityNot monotonic
2024-04-18T14:54:32.418198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180614 4
 
5.4%
20180605 4
 
5.4%
20180607 4
 
5.4%
20180529 4
 
5.4%
20180608 3
 
4.1%
20180611 3
 
4.1%
20150721 2
 
2.7%
20210308 1
 
1.4%
20210318 1
 
1.4%
20210727 1
 
1.4%
Other values (47) 47
63.5%
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
2.7%
20160125 1
1.4%
20160323 1
1.4%
ValueCountFrequency (%)
20220118 1
1.4%
20211220 1
1.4%
20210805 1
1.4%
20210727 1
1.4%
20210602 1
1.4%
20210405 1
1.4%
20210318 1
1.4%
20210317 1
1.4%
20210308 1
1.4%
20210113 1
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
1
66 
3
8 

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 66
89.2%
3 8
 
10.8%

Length

2024-04-18T14:54:32.543460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:32.640335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 66
89.2%
3 8
 
10.8%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
영업/정상
66 
폐업
8 

Length

Max length5
Median length5
Mean length4.6756757
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 66
89.2%
폐업 8
 
10.8%

Length

2024-04-18T14:54:32.763068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:32.871683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 66
89.2%
폐업 8
 
10.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
0
66 
2
8 

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 66
89.2%
2 8
 
10.8%

Length

2024-04-18T14:54:32.974999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:33.080441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
89.2%
2 8
 
10.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
정상
66 
폐업
8 

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 66
89.2%
폐업 8
 
10.8%

Length

2024-04-18T14:54:33.191671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:33.294332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 66
89.2%
폐업 8
 
10.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing66
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean20195486
Minimum20160930
Maximum20210901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:33.382889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160930
5-th percentile20167720
Q120187664
median20200252
Q320210383
95-th percentile20210901
Maximum20210901
Range49971
Interquartile range (IQR)22718.5

Descriptive statistics

Standard deviation18470.666
Coefficient of variation (CV)0.00091459381
Kurtosis0.069392667
Mean20195486
Median Absolute Deviation (MAD)10396
Skewness-0.94712464
Sum1.6156389 × 108
Variance3.4116551 × 108
MonotonicityNot monotonic
2024-04-18T14:54:33.486019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20210901 2
 
2.7%
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) 66
89.2%
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%
20210901 2
2.7%
ValueCountFrequency (%)
20210901 2
2.7%
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 

Missing74
Missing (%)100.0%
Memory size798.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

소재지전화
Text

MISSING 

Distinct54
Distinct (%)96.4%
Missing18
Missing (%)24.3%
Memory size724.0 B
2024-04-18T14:54:33.692697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.964286
Min length7

Characters and Unicode

Total characters614
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

Unique52 ?
Unique (%)92.9%

Sample

1st row053-424-0042
2nd row425-7323
3rd row422-4327
4th row422-4327
5th row424-1950
ValueCountFrequency (%)
0536262605 2
 
3.6%
422-4327 2
 
3.6%
0537832458 1
 
1.8%
053-637-0279 1
 
1.8%
053-424-0042 1
 
1.8%
0537638866 1
 
1.8%
053-382-0316 1
 
1.8%
053-384-0152 1
 
1.8%
0533251550 1
 
1.8%
0533844758 1
 
1.8%
Other values (44) 44
78.6%
2024-04-18T14:54:34.039967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 98
16.0%
5 92
15.0%
- 83
13.5%
0 78
12.7%
2 49
8.0%
4 49
8.0%
7 48
7.8%
6 46
7.5%
8 28
 
4.6%
1 25
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 531
86.5%
Dash Punctuation 83
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 98
18.5%
5 92
17.3%
0 78
14.7%
2 49
9.2%
4 49
9.2%
7 48
9.0%
6 46
8.7%
8 28
 
5.3%
1 25
 
4.7%
9 18
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 614
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 98
16.0%
5 92
15.0%
- 83
13.5%
0 78
12.7%
2 49
8.0%
4 49
8.0%
7 48
7.8%
6 46
7.5%
8 28
 
4.6%
1 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 98
16.0%
5 92
15.0%
- 83
13.5%
0 78
12.7%
2 49
8.0%
4 49
8.0%
7 48
7.8%
6 46
7.5%
8 28
 
4.6%
1 25
 
4.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)94.4%
Missing56
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean379.98722
Minimum0
Maximum1685.1
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:34.164656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.8
Q178.525
median234.74
Q3440.4
95-th percentile1211.2505
Maximum1685.1
Range1685.1
Interquartile range (IQR)361.875

Descriptive statistics

Standard deviation450.73142
Coefficient of variation (CV)1.1861752
Kurtosis3.3654139
Mean379.98722
Median Absolute Deviation (MAD)177.18
Skewness1.9020027
Sum6839.77
Variance203158.81
MonotonicityNot monotonic
2024-04-18T14:54:34.302707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
441.2 2
 
2.7%
0.0 1
 
1.4%
66.12 1
 
1.4%
113.74 1
 
1.4%
258.18 1
 
1.4%
262.03 1
 
1.4%
996.42 1
 
1.4%
89.1 1
 
1.4%
211.3 1
 
1.4%
75.0 1
 
1.4%
Other values (7) 7
 
9.5%
(Missing) 56
75.7%
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%
89.1 1
1.4%
113.74 1
1.4%
207.75 1
1.4%
211.3 1
1.4%
258.18 1
1.4%
ValueCountFrequency (%)
1685.1 1
1.4%
1127.63 1
1.4%
996.42 1
1.4%
441.2 2
2.7%
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%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

소재지전체주소
Text

MISSING 

Distinct64
Distinct (%)88.9%
Missing2
Missing (%)2.7%
Memory size724.0 B
2024-04-18T14:54:34.511358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length24.25
Min length17

Characters and Unicode

Total characters1746
Distinct characters118
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

Unique58 ?
Unique (%)80.6%

Sample

1st row대구광역시 중구 동산동 **-*번지 *층
2nd row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호
3rd row대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호
4th row대구광역시 중구 동인동*가 ***-*번지
5th row대구광역시 중구 공평동 **-*번지
ValueCountFrequency (%)
대구광역시 72
21.6%
번지 54
16.2%
북구 21
 
6.3%
18
 
5.4%
수성구 15
 
4.5%
산격동 12
 
3.6%
호 11
 
3.3%
중구 10
 
3.0%
동구 10
 
3.0%
층 7
 
2.1%
Other values (61) 103
30.9%
2024-04-18T14:54:34.858849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 359
20.6%
325
18.6%
구 144
 
8.2%
동 88
 
5.0%
대 83
 
4.8%
시 77
 
4.4%
역 73
 
4.2%
광 72
 
4.1%
지 64
 
3.7%
- 58
 
3.3%
Other values (108) 403
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
57.2%
Other Punctuation 361
 
20.7%
Space Separator 325
 
18.6%
Dash Punctuation 58
 
3.3%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 144
14.4%
동 88
 
8.8%
대 83
 
8.3%
시 77
 
7.7%
역 73
 
7.3%
광 72
 
7.2%
지 64
 
6.4%
번 54
 
5.4%
산 22
 
2.2%
북 21
 
2.1%
Other values (100) 300
30.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
P 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 359
99.4%
, 2
 
0.6%
Space Separator
ValueCountFrequency (%)
325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
57.2%
Common 745
42.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 144
14.4%
동 88
 
8.8%
대 83
 
8.3%
시 77
 
7.7%
역 73
 
7.3%
광 72
 
7.2%
지 64
 
6.4%
번 54
 
5.4%
산 22
 
2.2%
북 21
 
2.1%
Other values (100) 300
30.1%
Common
ValueCountFrequency (%)
* 359
48.2%
325
43.6%
- 58
 
7.8%
, 2
 
0.3%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
33.3%
T 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
57.2%
ASCII 748
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 359
48.0%
325
43.4%
- 58
 
7.8%
, 2
 
0.3%
+ 1
 
0.1%
M 1
 
0.1%
T 1
 
0.1%
P 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 144
14.4%
동 88
 
8.8%
대 83
 
8.3%
시 77
 
7.7%
역 73
 
7.3%
광 72
 
7.2%
지 64
 
6.4%
번 54
 
5.4%
산 22
 
2.2%
북 21
 
2.1%
Other values (100) 300
30.1%

도로명전체주소
Text

Distinct68
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-18T14:54:35.142988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length29.554054
Min length21

Characters and Unicode

Total characters2187
Distinct characters153
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

Unique62 ?
Unique (%)83.8%

Sample

1st row대구광역시 중구 국채보상로 ***, *층 (동산동)
2nd row대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)
3rd row대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)
4th row대구광역시 중구 태평로 ***-* (동인동*가, 현대문화일보)
5th row대구광역시 중구 동성로*길 ** (공평동)
ValueCountFrequency (%)
대구광역시 74
16.7%
73
16.5%
북구 21
 
4.8%
층 21
 
4.8%
호 17
 
3.8%
수성구 17
 
3.8%
산격동 12
 
2.7%
중구 10
 
2.3%
동구 10
 
2.3%
동 9
 
2.0%
Other values (119) 178
40.3%
2024-04-18T14:54:35.627243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
16.9%
* 342
15.6%
구 156
 
7.1%
동 109
 
5.0%
대 104
 
4.8%
시 81
 
3.7%
로 76
 
3.5%
역 75
 
3.4%
광 74
 
3.4%
( 71
 
3.2%
Other values (143) 730
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1270
58.1%
Other Punctuation 386
 
17.6%
Space Separator 369
 
16.9%
Open Punctuation 71
 
3.2%
Close Punctuation 71
 
3.2%
Dash Punctuation 16
 
0.7%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 156
 
12.3%
동 109
 
8.6%
대 104
 
8.2%
시 81
 
6.4%
로 76
 
6.0%
역 75
 
5.9%
광 74
 
5.8%
성 29
 
2.3%
북 25
 
2.0%
길 24
 
1.9%
Other values (133) 517
40.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
P 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 342
88.6%
, 44
 
11.4%
Space Separator
ValueCountFrequency (%)
369
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1270
58.1%
Common 914
41.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 156
 
12.3%
동 109
 
8.6%
대 104
 
8.2%
시 81
 
6.4%
로 76
 
6.0%
역 75
 
5.9%
광 74
 
5.8%
성 29
 
2.3%
북 25
 
2.0%
길 24
 
1.9%
Other values (133) 517
40.7%
Common
ValueCountFrequency (%)
369
40.4%
* 342
37.4%
( 71
 
7.8%
) 71
 
7.8%
, 44
 
4.8%
- 16
 
1.8%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
M 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1270
58.1%
ASCII 917
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
40.2%
* 342
37.3%
( 71
 
7.7%
) 71
 
7.7%
, 44
 
4.8%
- 16
 
1.7%
M 1
 
0.1%
+ 1
 
0.1%
P 1
 
0.1%
T 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 156
 
12.3%
동 109
 
8.6%
대 104
 
8.2%
시 81
 
6.4%
로 76
 
6.0%
역 75
 
5.9%
광 74
 
5.8%
성 29
 
2.3%
북 25
 
2.0%
길 24
 
1.9%
Other values (133) 517
40.7%

도로명우편번호
Real number (ℝ)

Distinct65
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41889.838
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:35.778582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41211.85
Q141516
median41929
Q342221.75
95-th percentile42821.85
Maximum43018
Range1982
Interquartile range (IQR)705.75

Descriptive statistics

Standard deviation496.55341
Coefficient of variation (CV)0.011853792
Kurtosis-0.5726611
Mean41889.838
Median Absolute Deviation (MAD)410.5
Skewness0.41707022
Sum3099848
Variance246565.29
MonotonicityNot monotonic
2024-04-18T14:54:35.953255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42261 3
 
4.1%
41516 3
 
4.1%
41267 2
 
2.7%
41941 2
 
2.7%
41940 2
 
2.7%
41518 2
 
2.7%
42405 2
 
2.7%
42187 1
 
1.4%
42251 1
 
1.4%
42158 1
 
1.4%
Other values (55) 55
74.3%
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
2.7%
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%
42702 1
1.4%
42609 1
1.4%
42465 1
1.4%
42448 1
1.4%

사업장명
Text

Distinct70
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-18T14:54:36.217051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.8513514
Min length3

Characters and Unicode

Total characters581
Distinct characters151
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

Unique66 ?
Unique (%)89.2%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row폴리파크(POLYPARK)
ValueCountFrequency (%)
폴리파크 15
 
13.9%
주식회사 9
 
8.3%
주)포파코 4
 
3.7%
컴패니언 2
 
1.9%
코메드 2
 
1.9%
제이 2
 
1.9%
포파코 2
 
1.9%
사이언스 2
 
1.9%
폴리파크(polypark 2
 
1.9%
삼아유통 2
 
1.9%
Other values (66) 66
61.1%
2024-04-18T14:54:36.633528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
5.9%
파 28
 
4.8%
점 22
 
3.8%
리 22
 
3.8%
크 21
 
3.6%
사 21
 
3.6%
폴 20
 
3.4%
이 20
 
3.4%
주 19
 
3.3%
) 14
 
2.4%
Other values (141) 360
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
81.2%
Uppercase Letter 41
 
7.1%
Space Separator 34
 
5.9%
Close Punctuation 14
 
2.4%
Open Punctuation 14
 
2.4%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 28
 
5.9%
점 22
 
4.7%
리 22
 
4.7%
크 21
 
4.4%
사 21
 
4.4%
폴 20
 
4.2%
이 20
 
4.2%
주 19
 
4.0%
스 14
 
3.0%
회 11
 
2.3%
Other values (116) 274
58.1%
Uppercase Letter
ValueCountFrequency (%)
I 5
12.2%
O 5
12.2%
N 4
9.8%
P 4
9.8%
S 3
 
7.3%
A 3
 
7.3%
R 3
 
7.3%
E 2
 
4.9%
B 2
 
4.9%
K 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 (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
81.2%
Common 65
 
11.2%
Latin 44
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 28
 
5.9%
점 22
 
4.7%
리 22
 
4.7%
크 21
 
4.4%
사 21
 
4.4%
폴 20
 
4.2%
이 20
 
4.2%
주 19
 
4.0%
스 14
 
3.0%
회 11
 
2.3%
Other values (116) 274
58.1%
Latin
ValueCountFrequency (%)
I 5
11.4%
O 5
11.4%
N 4
 
9.1%
P 4
 
9.1%
S 3
 
6.8%
A 3
 
6.8%
R 3
 
6.8%
E 2
 
4.5%
B 2
 
4.5%
K 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
34
52.3%
) 14
21.5%
( 14
21.5%
; 1
 
1.5%
- 1
 
1.5%
& 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
81.2%
ASCII 109
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
31.2%
) 14
12.8%
( 14
12.8%
I 5
 
4.6%
O 5
 
4.6%
N 4
 
3.7%
P 4
 
3.7%
S 3
 
2.8%
A 3
 
2.8%
R 3
 
2.8%
Other values (15) 20
18.3%
Hangul
ValueCountFrequency (%)
파 28
 
5.9%
점 22
 
4.7%
리 22
 
4.7%
크 21
 
4.4%
사 21
 
4.4%
폴 20
 
4.2%
이 20
 
4.2%
주 19
 
4.0%
스 14
 
3.0%
회 11
 
2.3%
Other values (116) 274
58.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0185315 × 1013
Minimum2.0120614 × 1013
Maximum2.0220118 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:36.793577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0147006 × 1013
Q12.0180529 × 1013
median2.0180624 × 1013
Q32.0200423 × 1013
95-th percentile2.0210839 × 1013
Maximum2.0220118 × 1013
Range9.9503962 × 1010
Interquartile range (IQR)1.9893737 × 1010

Descriptive statistics

Standard deviation2.1232565 × 1010
Coefficient of variation (CV)0.0010518818
Kurtosis1.8637692
Mean2.0185315 × 1013
Median Absolute Deviation (MAD)1.0300015 × 1010
Skewness-1.1041876
Sum1.4937133 × 1015
Variance4.5082181 × 1020
MonotonicityNot monotonic
2024-04-18T14:54:36.982772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.4%
20180611105147 1
 
1.4%
20180605164752 1
 
1.4%
20180605162034 1
 
1.4%
20180605175351 1
 
1.4%
20160125114353 1
 
1.4%
20180528162537 1
 
1.4%
20170703153603 1
 
1.4%
20210210160402 1
 
1.4%
20181022174952 1
 
1.4%
Other values (64) 64
86.5%
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 (%)
20220118092837 1
1.4%
20211220102032 1
1.4%
20210901102414 1
1.4%
20210901102325 1
1.4%
20210805110339 1
1.4%
20210727162011 1
1.4%
20210602100911 1
1.4%
20210405151408 1
1.4%
20210325091045 1
1.4%
20210318151511 1
1.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
I
64 
U
10 

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 64
86.5%
U 10
 
13.5%

Length

2024-04-18T14:54:37.122088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:37.218429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
86.5%
u 10
 
13.5%

데이터갱신일자
Categorical

Distinct35
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2018-08-31 23:59:59.0
39 
2021-09-03 02:40:00.0
 
2
2020-12-26 00:23:21.0
 
1
2021-01-15 00:23:04.0
 
1
2019-03-31 02:20:09.0
 
1
Other values (30)
30 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique33 ?
Unique (%)44.6%

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 39
52.7%
2021-09-03 02:40:00.0 2
 
2.7%
2020-12-26 00:23:21.0 1
 
1.4%
2021-01-15 00:23:04.0 1
 
1.4%
2019-03-31 02:20:09.0 1
 
1.4%
2020-02-05 00:23:24.0 1
 
1.4%
2020-03-06 00:23:23.0 1
 
1.4%
2020-11-06 02:40:00.0 1
 
1.4%
2021-02-05 02:40:00.0 1
 
1.4%
2020-01-15 00:23:25.0 1
 
1.4%
Other values (25) 25
33.8%

Length

2024-04-18T14:54:37.348613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 39
26.4%
23:59:59.0 39
26.4%
02:40:00.0 9
 
6.1%
02:35:55.0 2
 
1.4%
00:22:59.0 2
 
1.4%
00:23:32.0 2
 
1.4%
00:22:51.0 2
 
1.4%
2021-09-03 2
 
1.4%
2021-07-29 1
 
0.7%
00:23:00.0 1
 
0.7%
Other values (49) 49
33.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)91.8%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean344788.92
Minimum331994.27
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:37.513779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331994.27
5-th percentile335373.52
Q1342983.98
median345337.36
Q3346673.03
95-th percentile353019.14
Maximum356611.47
Range24617.204
Interquartile range (IQR)3689.0521

Descriptive statistics

Standard deviation4437.1001
Coefficient of variation (CV)0.012869033
Kurtosis1.7269351
Mean344788.92
Median Absolute Deviation (MAD)1651.1456
Skewness-0.41868498
Sum25169591
Variance19687857
MonotonicityNot monotonic
2024-04-18T14:54:37.641769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345793.311978 2
 
2.7%
344686.259338 2
 
2.7%
344309.71562 2
 
2.7%
353019.13771 2
 
2.7%
342236.602185 2
 
2.7%
344912.358902 2
 
2.7%
347040.840981 1
 
1.4%
352722.310665 1
 
1.4%
345206.578526 1
 
1.4%
348749.748951 1
 
1.4%
Other values (57) 57
77.0%
ValueCountFrequency (%)
331994.266957 1
1.4%
332317.0 1
1.4%
335042.486907 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%
ValueCountFrequency (%)
356611.471345 1
1.4%
353212.634985 1
1.4%
353171.444006 1
1.4%
353019.13771 2
2.7%
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 

Distinct67
Distinct (%)91.8%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean264412.49
Minimum244698
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-18T14:54:37.767348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile259242.89
Q1261941.55
median264559.5
Q3267358.57
95-th percentile269449.99
Maximum273217.03
Range28519.03
Interquartile range (IQR)5417.0147

Descriptive statistics

Standard deviation4000.1522
Coefficient of variation (CV)0.015128454
Kurtosis7.1027198
Mean264412.49
Median Absolute Deviation (MAD)2633.3342
Skewness-1.5355349
Sum19302112
Variance16001218
MonotonicityNot monotonic
2024-04-18T14:54:37.897758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264564.232699 2
 
2.7%
263958.880864 2
 
2.7%
264309.215111 2
 
2.7%
261926.162918 2
 
2.7%
263098.702086 2
 
2.7%
268253.830253 2
 
2.7%
259111.444544 1
 
1.4%
261632.023405 1
 
1.4%
260875.577524 1
 
1.4%
264167.639535 1
 
1.4%
Other values (57) 57
77.0%
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%
270352.09036 1
1.4%
270241.487523 1
1.4%
268922.318187 1
1.4%
268870.659507 1
1.4%
268737.493191 1
1.4%
268678.066448 1
1.4%
268622.147176 1
1.4%
268573.519631 1
1.4%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
동물용의료용구판매업
74 

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 74
100.0%

Length

2024-04-18T14:54:38.028700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:38.173970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 74
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
000
59 
L00
15 

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 59
79.7%
L00 15
 
20.3%

Length

2024-04-18T14:54:38.297690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:38.403043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 59
79.7%
l00 15
 
20.3%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
68 
0
 
6

Length

Max length4
Median length4
Mean length3.7567568
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
91.9%
0 6
 
8.1%

Length

2024-04-18T14:54:38.516329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:54:38.626364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
91.9%
0 6
 
8.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
01동물용의료용구판매업02_03_03_P341000034100000132012000120120828<NA>1영업/정상0정상<NA><NA><NA><NA>053-424-0042438.0<NA>대구광역시 중구 동산동 **-*번지 *층대구광역시 중구 국채보상로 ***, *층 (동산동)41921(주)한국교통정보20120828094312I2018-08-31 23:59:59.0<NA>342983.980987264559.497125동물용의료용구판매업<NA>L00<NA>
12동물용의료용구판매업02_03_03_P341000034100000132015000120150721<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)41940컴패니언20150721150716I2018-08-31 23:59:59.0<NA>344686.259338263958.880864동물용의료용구판매업<NA>000<NA>
23동물용의료용구판매업02_03_03_P341000034100000132015000220150721<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워 *층 ***호대구광역시 중구 동덕로 *** (삼덕동*가, 진석타워 *층 ***호)41940컴패니언20150721151747I2018-08-31 23:59:59.0<NA>344686.259338263958.880864동물용의료용구판매업<NA>000<NA>
34동물용의료용구판매업02_03_03_P341000034100000132016000120160419<NA>1영업/정상0정상<NA><NA><NA><NA>425-7323211.3<NA>대구광역시 중구 동인동*가 ***-*번지대구광역시 중구 태평로 ***-* (동인동*가, 현대문화일보)41906(주)태영엘에스20160419104757I2018-08-31 23:59:59.0<NA>345337.355564264851.279983동물용의료용구판매업<NA>L00<NA>
45동물용의료용구판매업02_03_03_P341000034100000132018000120180529<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 **-*번지대구광역시 중구 동성로*길 ** (공평동)41941폴리파크(POLYPARK)20180529165717I2018-08-31 23:59:59.0<NA>344309.71562264309.215111동물용의료용구판매업<NA>000<NA>
56동물용의료용구판매업02_03_03_P341000034100000132018000220180529<NA>1영업/정상0정상<NA><NA><NA><NA>422-4327<NA><NA>대구광역시 중구 공평동 **-*번지대구광역시 중구 동성로*길 ** (공평동)41941폴리파크(POLYPARK)20180529170607I2018-08-31 23:59:59.0<NA>344309.71562264309.215111동물용의료용구판매업<NA>000<NA>
67동물용의료용구판매업02_03_03_P341000034100000132021000220210805<NA>1영업/정상0정상<NA><NA><NA><NA>424-1950<NA><NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 동덕로**길 ***-*(동인동*가)41946대왕메디칼20210805110339I2021-08-07 00:22:51.0<NA>345388.270202264100.025759동물용의료용구판매업<NA>0000
78동물용의료용구판매업02_03_03_P341000034100000132020000120201224<NA>1영업/정상0정상<NA><NA><NA><NA>557-9044<NA><NA>대구광역시 중구 동성로*가 **-** ****호대구광역시 중구 국채보상로 ***, ****호 (동성로*가)41937에스엠진단20201224091825I2020-12-26 00:23:21.0<NA>343959.823762264529.39356동물용의료용구판매업<NA>000<NA>
89동물용의료용구판매업02_03_03_P341000034100000132021000120210113<NA>1영업/정상0정상<NA><NA><NA><NA>428-2020<NA><NA>대구광역시 중구 동성로*가 **-*대구광역시 중구 동성로 **-*, *층 (동성로*가)41913삼아유통20210113172340I2021-01-15 00:23:04.0<NA>344053.360694264627.11698동물용의료용구판매업<NA>000<NA>
910동물용의료용구판매업02_03_03_P341000034100000131979000119790411<NA>3폐업2폐업20160930<NA><NA><NA>424-99440.0<NA>대구광역시 중구 대봉동 ***-**번지대구광역시 중구 대봉로 *** (대봉동)41950주식회사 대구축산20160930135708I2018-08-31 23:59:59.0<NA>344432.563324263763.687867동물용의료용구판매업<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
6465동물용의료용구판매업02_03_03_P346000034600000132016000220160511<NA>3폐업2폐업20180330<NA><NA><NA>7565033<NA><NA><NA>대구광역시 수성구 화랑로**길 * (만촌동, 메트로월드)42038영신메디칼20180402094701I2018-08-31 23:59:59.0<NA>347513.970564264660.243759동물용의료용구판매업<NA>000<NA>
6566동물용의료용구판매업02_03_03_P346000034600000132016000320160912<NA>3폐업2폐업20190304<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 천을로 **, ***동 *층 ***호 (시지동, 시지미래하이츠)42261BIO-N20190304162127U2019-03-06 02:40:00.0<NA>353019.13771261926.162918동물용의료용구판매업<NA>000<NA>
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