Overview

Dataset statistics

Number of variables33
Number of observations63
Missing cells631
Missing cells (%)30.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory287.0 B

Variable types

Numeric9
Categorical11
Unsupported9
Text4

Dataset

Description6270000_대구광역시_02_03_03_P_동물용의료용구판매업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086707&dataSetDetailId=DDI_0000086743&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (65.9%)Imbalance
영업상태명 is highly imbalanced (65.9%)Imbalance
상세영업상태코드 is highly imbalanced (65.9%)Imbalance
상세영업상태명 is highly imbalanced (65.9%)Imbalance
폐업일자 is highly imbalanced (79.8%)Imbalance
데이터갱신구분 is highly imbalanced (60.0%)Imbalance
인허가취소일자 has 63 (100.0%) missing valuesMissing
휴업시작일자 has 63 (100.0%) missing valuesMissing
휴업종료일자 has 63 (100.0%) missing valuesMissing
재개업일자 has 63 (100.0%) missing valuesMissing
소재지전화 has 15 (23.8%) missing valuesMissing
소재지면적 has 47 (74.6%) missing valuesMissing
소재지우편번호 has 63 (100.0%) missing valuesMissing
소재지전체주소 has 2 (3.2%) missing valuesMissing
업태구분명 has 63 (100.0%) missing valuesMissing
축산물가공업구분명 has 63 (100.0%) missing valuesMissing
축산일련번호 has 63 (100.0%) missing valuesMissing
총종업원수 has 63 (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 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-21 17:19:03.035271
Analysis finished2024-04-21 17:19:03.691673
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:03.874976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2024-04-22T02:19:04.302664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
동물용의료용구판매업
63 

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 63
100.0%

Length

2024-04-22T02:19:04.713533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:05.006803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 63
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
02_03_03_P
63 

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 63
100.0%

Length

2024-04-22T02:19:05.178246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:05.339353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 63
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443968.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:05.481538image/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 deviation20043.476
Coefficient of variation (CV)0.0058198781
Kurtosis-0.92873724
Mean3443968.3
Median Absolute Deviation (MAD)10000
Skewness-0.33401378
Sum2.1697 × 108
Variance4.0174091 × 108
MonotonicityIncreasing
2024-04-22T02:19:05.679006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 18
28.6%
3460000 15
23.8%
3420000 10
15.9%
3410000 7
 
11.1%
3440000 4
 
6.3%
3430000 3
 
4.8%
3470000 3
 
4.8%
3480000 3
 
4.8%
ValueCountFrequency (%)
3410000 7
 
11.1%
3420000 10
15.9%
3430000 3
 
4.8%
3440000 4
 
6.3%
3450000 18
28.6%
3460000 15
23.8%
3470000 3
 
4.8%
3480000 3
 
4.8%
ValueCountFrequency (%)
3480000 3
 
4.8%
3470000 3
 
4.8%
3460000 15
23.8%
3450000 18
28.6%
3440000 4
 
6.3%
3430000 3
 
4.8%
3420000 10
15.9%
3410000 7
 
11.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4439683 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:05.915054image/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 deviation2.0043476 × 1015
Coefficient of variation (CV)0.0058198781
Kurtosis-0.92873724
Mean3.4439683 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.33401378
Sum3.250256 × 1018
Variance4.0174091 × 1030
MonotonicityNot monotonic
2024-04-22T02:19:06.178133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.6%
341000001320150001 1
 
1.6%
345000001320160001 1
 
1.6%
345000001320170001 1
 
1.6%
345000001320180005 1
 
1.6%
345000001320180004 1
 
1.6%
345000001320180003 1
 
1.6%
345000001320180002 1
 
1.6%
345000001320170002 1
 
1.6%
345000001320180001 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
341000001319790001 1
1.6%
341000001320120001 1
1.6%
341000001320150001 1
1.6%
341000001320150002 1
1.6%
341000001320160001 1
1.6%
341000001320180001 1
1.6%
341000001320180002 1
1.6%
342000001320120001 1
1.6%
342000001320130001 1
1.6%
342000001320140001 1
1.6%
ValueCountFrequency (%)
348000001320200001 1
1.6%
348000001320180002 1
1.6%
348000001320180001 1
1.6%
347000001320180003 1
1.6%
347000001320180002 1
1.6%
347000001320180001 1
1.6%
346000001320200001 1
1.6%
346000001320190002 1
1.6%
346000001320190001 1
1.6%
346000001320180008 1
1.6%

인허가일자
Real number (ℝ)

Distinct46
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20170289
Minimum19790411
Maximum20200914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:06.471821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20121946
Q120171164
median20180607
Q320185663
95-th percentile20200411
Maximum20200914
Range410503
Interquartile range (IQR)14498.5

Descriptive statistics

Standard deviation52553.097
Coefficient of variation (CV)0.0026054708
Kurtosis45.435857
Mean20170289
Median Absolute Deviation (MAD)9499
Skewness-6.3139189
Sum1.2707282 × 109
Variance2.761828 × 109
MonotonicityNot monotonic
2024-04-22T02:19:06.903197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20180529 4
 
6.3%
20180614 4
 
6.3%
20180607 4
 
6.3%
20180605 4
 
6.3%
20180611 3
 
4.8%
20180608 3
 
4.8%
20150721 2
 
3.2%
20120828 1
 
1.6%
20190304 1
 
1.6%
20160323 1
 
1.6%
Other values (36) 36
57.1%
ValueCountFrequency (%)
19790411 1
1.6%
20120614 1
1.6%
20120828 1
1.6%
20121016 1
1.6%
20130321 1
1.6%
20131127 1
1.6%
20140106 1
1.6%
20150721 2
3.2%
20160125 1
1.6%
20160323 1
1.6%
ValueCountFrequency (%)
20200914 1
1.6%
20200901 1
1.6%
20200424 1
1.6%
20200420 1
1.6%
20200331 1
1.6%
20200304 1
1.6%
20200203 1
1.6%
20200113 1
1.6%
20200102 1
1.6%
20191129 1
1.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
1
59 
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 59
93.7%
3 4
 
6.3%

Length

2024-04-22T02:19:07.307919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:07.613224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
93.7%
3 4
 
6.3%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
영업/정상
59 
폐업
 
4

Length

Max length5
Median length5
Mean length4.8095238
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 59
93.7%
폐업 4
 
6.3%

Length

2024-04-22T02:19:07.958235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:08.279483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 59
93.7%
폐업 4
 
6.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
0
59 
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 59
93.7%
2 4
 
6.3%

Length

2024-04-22T02:19:08.605527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:08.911683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
93.7%
2 4
 
6.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
정상
59 
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 59
93.7%
폐업 4
 
6.3%

Length

2024-04-22T02:19:09.235359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:09.731601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 59
93.7%
폐업 4
 
6.3%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size632.0 B
<NA>
59 
20160930
 
1
20190109
 
1
20180330
 
1
20190304
 
1

Length

Max length8
Median length4
Mean length4.2539683
Min length4

Unique

Unique4 ?
Unique (%)6.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
93.7%
20160930 1
 
1.6%
20190109 1
 
1.6%
20180330 1
 
1.6%
20190304 1
 
1.6%

Length

2024-04-22T02:19:10.092342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:10.447245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
93.7%
20160930 1
 
1.6%
20190109 1
 
1.6%
20180330 1
 
1.6%
20190304 1
 
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

소재지전화
Text

MISSING 

Distinct46
Distinct (%)95.8%
Missing15
Missing (%)23.8%
Memory size632.0 B
2024-04-22T02:19:11.247970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.0625
Min length7

Characters and Unicode

Total characters531
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

Unique44 ?
Unique (%)91.7%

Sample

1st row053-424-0042
2nd row425-7323
3rd row422-4327
4th row422-4327
5th row424-9944
ValueCountFrequency (%)
0536262605 2
 
4.2%
422-4327 2
 
4.2%
053-767-4317 1
 
2.1%
053-587-4317 1
 
2.1%
053-424-0042 1
 
2.1%
7565033 1
 
2.1%
0533812285 1
 
2.1%
053-255-4317 1
 
2.1%
053-324-4313 1
 
2.1%
053-744-2825 1
 
2.1%
Other values (36) 36
75.0%
2024-04-22T02:19:12.199763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 88
16.6%
5 82
15.4%
- 72
13.6%
0 65
12.2%
4 43
8.1%
7 43
8.1%
2 42
7.9%
6 37
7.0%
8 24
 
4.5%
1 22
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 459
86.4%
Dash Punctuation 72
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 88
19.2%
5 82
17.9%
0 65
14.2%
4 43
9.4%
7 43
9.4%
2 42
9.2%
6 37
8.1%
8 24
 
5.2%
1 22
 
4.8%
9 13
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 88
16.6%
5 82
15.4%
- 72
13.6%
0 65
12.2%
4 43
8.1%
7 43
8.1%
2 42
7.9%
6 37
7.0%
8 24
 
4.5%
1 22
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 88
16.6%
5 82
15.4%
- 72
13.6%
0 65
12.2%
4 43
8.1%
7 43
8.1%
2 42
7.9%
6 37
7.0%
8 24
 
4.5%
1 22
 
4.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)93.8%
Missing47
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean316.59813
Minimum0
Maximum1127.63
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:12.409349image/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
Mean316.59813
Median Absolute Deviation (MAD)177.18
Skewness1.6206827
Sum5065.57
Variance106764.95
MonotonicityNot monotonic
2024-04-22T02:19:12.598691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
441.2 2
 
3.2%
438.0 1
 
1.6%
211.3 1
 
1.6%
0.0 1
 
1.6%
258.18 1
 
1.6%
113.74 1
 
1.6%
66.12 1
 
1.6%
262.03 1
 
1.6%
996.42 1
 
1.6%
49.0 1
 
1.6%
Other values (5) 5
 
7.9%
(Missing) 47
74.6%
ValueCountFrequency (%)
0.0 1
1.6%
48.0 1
1.6%
49.0 1
1.6%
66.12 1
1.6%
75.0 1
1.6%
113.74 1
1.6%
207.75 1
1.6%
211.3 1
1.6%
258.18 1
1.6%
262.03 1
1.6%
ValueCountFrequency (%)
1127.63 1
1.6%
996.42 1
1.6%
441.2 2
3.2%
438.0 1
1.6%
330.0 1
1.6%
262.03 1
1.6%
258.18 1
1.6%
211.3 1
1.6%
207.75 1
1.6%
113.74 1
1.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

소재지전체주소
Text

MISSING 

Distinct57
Distinct (%)93.4%
Missing2
Missing (%)3.2%
Memory size632.0 B
2024-04-22T02:19:13.610217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.737705
Min length17

Characters and Unicode

Total characters1509
Distinct characters123
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

Unique53 ?
Unique (%)86.9%

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 61
21.7%
북구 18
 
6.4%
수성구 13
 
4.6%
동구 10
 
3.6%
산격동 9
 
3.2%
중구 7
 
2.5%
남구 4
 
1.4%
대명동 4
 
1.4%
시지동 4
 
1.4%
신천동 4
 
1.4%
Other values (121) 147
52.3%
2024-04-22T02:19:14.868003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
18.2%
구 122
 
8.1%
1 78
 
5.2%
동 76
 
5.0%
대 71
 
4.7%
지 69
 
4.6%
시 66
 
4.4%
역 61
 
4.0%
광 61
 
4.0%
번 59
 
3.9%
Other values (113) 571
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 876
58.1%
Decimal Number 303
 
20.1%
Space Separator 275
 
18.2%
Dash Punctuation 49
 
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 122
13.9%
동 76
 
8.7%
대 71
 
8.1%
지 69
 
7.9%
시 66
 
7.5%
역 61
 
7.0%
광 61
 
7.0%
번 59
 
6.7%
산 19
 
2.2%
북 18
 
2.1%
Other values (96) 254
29.0%
Decimal Number
ValueCountFrequency (%)
1 78
25.7%
2 48
15.8%
0 30
 
9.9%
5 26
 
8.6%
4 23
 
7.6%
9 23
 
7.6%
7 21
 
6.9%
6 20
 
6.6%
3 20
 
6.6%
8 14
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 876
58.1%
Common 630
41.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 122
13.9%
동 76
 
8.7%
대 71
 
8.1%
지 69
 
7.9%
시 66
 
7.5%
역 61
 
7.0%
광 61
 
7.0%
번 59
 
6.7%
산 19
 
2.2%
북 18
 
2.1%
Other values (96) 254
29.0%
Common
ValueCountFrequency (%)
275
43.7%
1 78
 
12.4%
- 49
 
7.8%
2 48
 
7.6%
0 30
 
4.8%
5 26
 
4.1%
4 23
 
3.7%
9 23
 
3.7%
7 21
 
3.3%
6 20
 
3.2%
Other values (4) 37
 
5.9%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 876
58.1%
ASCII 633
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
43.4%
1 78
 
12.3%
- 49
 
7.7%
2 48
 
7.6%
0 30
 
4.7%
5 26
 
4.1%
4 23
 
3.6%
9 23
 
3.6%
7 21
 
3.3%
6 20
 
3.2%
Other values (7) 40
 
6.3%
Hangul
ValueCountFrequency (%)
구 122
13.9%
동 76
 
8.7%
대 71
 
8.1%
지 69
 
7.9%
시 66
 
7.5%
역 61
 
7.0%
광 61
 
7.0%
번 59
 
6.7%
산 19
 
2.2%
북 18
 
2.1%
Other values (96) 254
29.0%

도로명전체주소
Text

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-04-22T02:19:15.975163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length29.015873
Min length21

Characters and Unicode

Total characters1828
Distinct characters153
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

Unique57 ?
Unique (%)90.5%

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 63
 
16.8%
북구 18
 
4.8%
수성구 15
 
4.0%
동구 10
 
2.7%
산격동 9
 
2.4%
중구 7
 
1.9%
시지동 5
 
1.3%
달구벌대로 5
 
1.3%
1층 5
 
1.3%
2층 5
 
1.3%
Other values (177) 232
62.0%
2024-04-22T02:19:17.459859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
 
17.1%
구 132
 
7.2%
동 92
 
5.0%
대 89
 
4.9%
시 70
 
3.8%
1 68
 
3.7%
광 63
 
3.4%
역 63
 
3.4%
로 63
 
3.4%
( 60
 
3.3%
Other values (143) 816
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1071
58.6%
Space Separator 312
 
17.1%
Decimal Number 276
 
15.1%
Open Punctuation 60
 
3.3%
Close Punctuation 60
 
3.3%
Other Punctuation 35
 
1.9%
Dash Punctuation 10
 
0.5%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 132
 
12.3%
동 92
 
8.6%
대 89
 
8.3%
시 70
 
6.5%
광 63
 
5.9%
역 63
 
5.9%
로 63
 
5.9%
성 24
 
2.2%
북 20
 
1.9%
지 20
 
1.9%
Other values (124) 435
40.6%
Decimal Number
ValueCountFrequency (%)
1 68
24.6%
2 49
17.8%
3 34
12.3%
0 31
11.2%
4 20
 
7.2%
5 19
 
6.9%
6 16
 
5.8%
7 15
 
5.4%
8 13
 
4.7%
9 11
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1071
58.6%
Common 754
41.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 132
 
12.3%
동 92
 
8.6%
대 89
 
8.3%
시 70
 
6.5%
광 63
 
5.9%
역 63
 
5.9%
로 63
 
5.9%
성 24
 
2.2%
북 20
 
1.9%
지 20
 
1.9%
Other values (124) 435
40.6%
Common
ValueCountFrequency (%)
312
41.4%
1 68
 
9.0%
( 60
 
8.0%
) 60
 
8.0%
2 49
 
6.5%
, 35
 
4.6%
3 34
 
4.5%
0 31
 
4.1%
4 20
 
2.7%
5 19
 
2.5%
Other values (6) 66
 
8.8%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1071
58.6%
ASCII 757
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
41.2%
1 68
 
9.0%
( 60
 
7.9%
) 60
 
7.9%
2 49
 
6.5%
, 35
 
4.6%
3 34
 
4.5%
0 31
 
4.1%
4 20
 
2.6%
5 19
 
2.5%
Other values (9) 69
 
9.1%
Hangul
ValueCountFrequency (%)
구 132
 
12.3%
동 92
 
8.6%
대 89
 
8.3%
시 70
 
6.5%
광 63
 
5.9%
역 63
 
5.9%
로 63
 
5.9%
성 24
 
2.2%
북 20
 
1.9%
지 20
 
1.9%
Other values (124) 435
40.6%

도로명우편번호
Real number (ℝ)

Distinct54
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41865.111
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:17.707359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41206.9
Q141510
median41906
Q342220.5
95-th percentile42815.8
Maximum43018
Range1982
Interquartile range (IQR)710.5

Descriptive statistics

Standard deviation502.35529
Coefficient of variation (CV)0.011999378
Kurtosis-0.54135003
Mean41865.111
Median Absolute Deviation (MAD)388
Skewness0.44783535
Sum2637502
Variance252360.84
MonotonicityNot monotonic
2024-04-22T02:19:17.969663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42261 3
 
4.8%
41516 3
 
4.8%
41518 2
 
3.2%
41941 2
 
3.2%
41940 2
 
3.2%
41267 2
 
3.2%
42405 2
 
3.2%
41921 1
 
1.6%
42223 1
 
1.6%
41477 1
 
1.6%
Other values (44) 44
69.8%
ValueCountFrequency (%)
41036 1
1.6%
41077 1
1.6%
41164 1
1.6%
41206 1
1.6%
41215 1
1.6%
41238 1
1.6%
41249 1
1.6%
41256 1
1.6%
41267 2
3.2%
41416 1
1.6%
ValueCountFrequency (%)
43018 1
1.6%
42955 1
1.6%
42915 1
1.6%
42818 1
1.6%
42796 1
1.6%
42609 1
1.6%
42465 1
1.6%
42448 1
1.6%
42405 2
3.2%
42262 1
1.6%

사업장명
Text

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-04-22T02:19:18.723974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.2063492
Min length3

Characters and Unicode

Total characters517
Distinct characters143
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

Unique57 ?
Unique (%)90.5%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row폴리파크(POLYPARK)
ValueCountFrequency (%)
폴리파크 15
 
15.6%
주식회사 9
 
9.4%
주)포파코 3
 
3.1%
컴패니언 2
 
2.1%
폴리파크(polypark 2
 
2.1%
제이 2
 
2.1%
코메드 2
 
2.1%
포파코 2
 
2.1%
복현점 1
 
1.0%
주)포파크 1
 
1.0%
Other values (57) 57
59.4%
2024-04-22T02:19:19.711160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
6.4%
파 26
 
5.0%
점 22
 
4.3%
리 22
 
4.3%
크 21
 
4.1%
폴 20
 
3.9%
주 18
 
3.5%
사 17
 
3.3%
) 13
 
2.5%
( 13
 
2.5%
Other values (133) 312
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 415
80.3%
Uppercase Letter 41
 
7.9%
Space Separator 33
 
6.4%
Close Punctuation 13
 
2.5%
Open Punctuation 13
 
2.5%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 26
 
6.3%
점 22
 
5.3%
리 22
 
5.3%
크 21
 
5.1%
폴 20
 
4.8%
주 18
 
4.3%
사 17
 
4.1%
이 13
 
3.1%
회 11
 
2.7%
식 11
 
2.7%
Other values (112) 234
56.4%
Uppercase Letter
ValueCountFrequency (%)
O 5
12.2%
I 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%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 415
80.3%
Common 61
 
11.8%
Latin 41
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 26
 
6.3%
점 22
 
5.3%
리 22
 
5.3%
크 21
 
5.1%
폴 20
 
4.8%
주 18
 
4.3%
사 17
 
4.1%
이 13
 
3.1%
회 11
 
2.7%
식 11
 
2.7%
Other values (112) 234
56.4%
Latin
ValueCountFrequency (%)
O 5
12.2%
I 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%
Common
ValueCountFrequency (%)
33
54.1%
) 13
 
21.3%
( 13
 
21.3%
- 1
 
1.6%
& 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 415
80.3%
ASCII 102
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
32.4%
) 13
 
12.7%
( 13
 
12.7%
O 5
 
4.9%
I 5
 
4.9%
N 4
 
3.9%
P 4
 
3.9%
S 3
 
2.9%
R 3
 
2.9%
A 3
 
2.9%
Other values (11) 16
15.7%
Hangul
ValueCountFrequency (%)
파 26
 
6.3%
점 22
 
5.3%
리 22
 
5.3%
크 21
 
5.1%
폴 20
 
4.8%
주 18
 
4.3%
사 17
 
4.1%
이 13
 
3.1%
회 11
 
2.7%
식 11
 
2.7%
Other values (112) 234
56.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01779 × 1013
Minimum2.0120614 × 1013
Maximum2.0201104 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:19.958104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.01313 × 1013
Q12.0180366 × 1013
median2.0180611 × 1013
Q32.0190311 × 1013
95-th percentile2.0200411 × 1013
Maximum2.0201104 × 1013
Range8.0490044 × 1010
Interquartile range (IQR)9.9455383 × 109

Descriptive statistics

Standard deviation1.9078037 × 1010
Coefficient of variation (CV)0.00094549168
Kurtosis2.6229503
Mean2.01779 × 1013
Median Absolute Deviation (MAD)9.3899636 × 109
Skewness-1.5826873
Sum1.2712077 × 1015
Variance3.6397148 × 1020
MonotonicityNot monotonic
2024-04-22T02:19:20.234876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.6%
20150721150716 1
 
1.6%
20160323171659 1
 
1.6%
20171108165439 1
 
1.6%
20180614174352 1
 
1.6%
20180614174117 1
 
1.6%
20180614173823 1
 
1.6%
20180614173111 1
 
1.6%
20171221141543 1
 
1.6%
20180226090247 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
20120614131152 1
1.6%
20120828094312 1
1.6%
20121016110802 1
1.6%
20130321172849 1
1.6%
20140106104704 1
1.6%
20150721150716 1
1.6%
20150721151747 1
1.6%
20160125114353 1
1.6%
20160323171659 1
1.6%
20160419104757 1
1.6%
ValueCountFrequency (%)
20201104175154 1
1.6%
20200901090953 1
1.6%
20200424152544 1
1.6%
20200420103510 1
1.6%
20200331160945 1
1.6%
20200304163812 1
1.6%
20200203184842 1
1.6%
20200113090315 1
1.6%
20200102135238 1
1.6%
20191129113755 1
1.6%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
I
58 
U
 
5

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 58
92.1%
U 5
 
7.9%

Length

2024-04-22T02:19:20.486672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:20.652599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 58
92.1%
u 5
 
7.9%

데이터갱신일자
Categorical

Distinct21
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size632.0 B
2018-08-31 23:59:59.0
43 
2020-03-06 00:23:23.0
 
1
2020-11-06 02:40:00.0
 
1
2020-02-05 00:23:24.0
 
1
2019-03-31 02:20:09.0
 
1
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)31.7%

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
68.3%
2020-03-06 00:23:23.0 1
 
1.6%
2020-11-06 02:40:00.0 1
 
1.6%
2020-02-05 00:23:24.0 1
 
1.6%
2019-03-31 02:20:09.0 1
 
1.6%
2019-01-11 02:40:00.0 1
 
1.6%
2019-06-07 02:21:05.0 1
 
1.6%
2019-09-01 02:22:16.0 1
 
1.6%
2019-11-14 00:23:14.0 1
 
1.6%
2019-12-01 00:23:27.0 1
 
1.6%
Other values (11) 11
 
17.5%

Length

2024-04-22T02:19:20.826179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 43
34.1%
23:59:59.0 43
34.1%
02:40:00.0 4
 
3.2%
02:35:55.0 2
 
1.6%
00:23:32.0 2
 
1.6%
2019-03-06 1
 
0.8%
00:23:38.0 1
 
0.8%
2020-01-15 1
 
0.8%
00:23:25.0 1
 
0.8%
2018-11-14 1
 
0.8%
Other values (27) 27
21.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

좌표정보(X)
Real number (ℝ)

Distinct57
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344867.77
Minimum331994.27
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:21.040403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331994.27
5-th percentile335940.57
Q1342504.85
median345337.36
Q3346830.77
95-th percentile353019.14
Maximum356611.47
Range24617.204
Interquartile range (IQR)4325.9136

Descriptive statistics

Standard deviation4595.9763
Coefficient of variation (CV)0.013326779
Kurtosis1.4762298
Mean344867.77
Median Absolute Deviation (MAD)1703.4854
Skewness-0.33725338
Sum21726669
Variance21122998
MonotonicityNot monotonic
2024-04-22T02:19:21.287796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902 2
 
3.2%
342236.602185 2
 
3.2%
344686.259338 2
 
3.2%
344309.71562 2
 
3.2%
345793.311978 2
 
3.2%
353019.13771 2
 
3.2%
339628.760658 1
 
1.6%
345660.992342 1
 
1.6%
343951.492431 1
 
1.6%
341094.574634 1
 
1.6%
Other values (47) 47
74.6%
ValueCountFrequency (%)
331994.266957 1
1.6%
332317.0 1
1.6%
335095.041373 1
1.6%
335559.179282 1
1.6%
339373.134791 1
1.6%
339514.103486 1
1.6%
339628.760658 1
1.6%
340194.786718 1
1.6%
340200.70685 1
1.6%
341094.574634 1
1.6%
ValueCountFrequency (%)
356611.471345 1
1.6%
353212.634985 1
1.6%
353171.444006 1
1.6%
353019.13771 2
3.2%
352722.310665 1
1.6%
350685.592287 1
1.6%
348749.748951 1
1.6%
348301.66757 1
1.6%
348073.107864 1
1.6%
347890.197458 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct57
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264332.11
Minimum244698
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-04-22T02:19:21.516494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile259133.35
Q1261933.86
median264564.23
Q3267068.28
95-th percentile270109.57
Maximum273217.03
Range28519.03
Interquartile range (IQR)5134.4278

Descriptive statistics

Standard deviation4189.8032
Coefficient of variation (CV)0.015850527
Kurtosis6.6751293
Mean264332.11
Median Absolute Deviation (MAD)2638.0698
Skewness-1.5333664
Sum16652923
Variance17554451
MonotonicityNot monotonic
2024-04-22T02:19:21.756540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268253.830253 2
 
3.2%
263098.702086 2
 
3.2%
263958.880864 2
 
3.2%
264309.215111 2
 
3.2%
264564.232699 2
 
3.2%
261926.162918 2
 
3.2%
270836.564701 1
 
1.6%
267409.574785 1
 
1.6%
270282.005962 1
 
1.6%
266771.823922 1
 
1.6%
Other values (47) 47
74.6%
ValueCountFrequency (%)
244698.0 1
1.6%
257163.326287 1
1.6%
257618.088478 1
1.6%
259111.444544 1
1.6%
259330.525763 1
1.6%
259460.119325 1
1.6%
259790.219749 1
1.6%
260134.448701 1
1.6%
260875.577524 1
1.6%
261178.396104 1
1.6%
ValueCountFrequency (%)
273217.030061 1
1.6%
270836.564701 1
1.6%
270282.005962 1
1.6%
270241.487523 1
1.6%
268922.318187 1
1.6%
268773.105736 1
1.6%
268737.493191 1
1.6%
268678.066448 1
1.6%
268573.519631 1
1.6%
268476.874903 1
1.6%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
동물용의료용구판매업
63 

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 63
100.0%

Length

2024-04-22T02:19:21.978753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:22.143237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 63
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size632.0 B
000
49 
L00
14 

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 49
77.8%
L00 14
 
22.2%

Length

2024-04-22T02:19:22.420972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:19:22.733692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 49
77.8%
l00 14
 
22.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size695.0 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_P342000034200000132020000220200304<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 526-2번지대구광역시 동구 화랑로 107 (효목동)41238폴리파크(미오미아 효목점)20200304163812I2020-03-06 00:23:23.0<NA>347890.197458264911.383894동물용의료용구판매업<NA><NA>000<NA>
89동물용의료용구판매업02_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><NA>L00<NA>
910동물용의료용구판매업02_03_03_P342000034200000132020000120200203<NA>1영업/정상0정상<NA><NA><NA><NA>053-752-0454<NA><NA>대구광역시 동구 신천동 89-1번지대구광역시 동구 동대구로 495, 삼양사빌딩 7층 (신천동)41256그리닉스(GREENICS)20200203184842I2020-02-05 00:23:24.0<NA>346673.033087265048.996778동물용의료용구판매업<NA><NA>000<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
5354동물용의료용구판매업02_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><NA>000<NA>
5455동물용의료용구판매업02_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><NA>000<NA>
5556동물용의료용구판매업02_03_03_P346000034600000132018000320180605<NA>1영업/정상0정상<NA><NA><NA><NA>053-793-0279<NA><NA>대구광역시 수성구 시지동 230-1번지대구광역시 수성구 달구벌대로 3054 (시지동)42251폴리파크 시지점20180605162034I2018-08-31 23:59:59.0<NA>352722.310665261632.023405동물용의료용구판매업<NA><NA>000<NA>
5657동물용의료용구판매업02_03_03_P346000034600000132018000420180605<NA>1영업/정상0정상<NA><NA><NA><NA>053-753-4313<NA><NA>대구광역시 수성구 범어동 222-9번지대구광역시 수성구 동원로 7 (범어동)42031(주)포파코 범어지점20180605164752I2018-08-31 23:59:59.0<NA>348073.107864263418.219196동물용의료용구판매업<NA><NA>L00<NA>
5758동물용의료용구판매업02_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>
5859동물용의료용구판매업02_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>
5960동물용의료용구판매업02_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>
6061동물용의료용구판매업02_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>
6162동물용의료용구판매업02_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>
6263동물용의료용구판매업02_03_03_P348000034800000132020000120200331<NA>1영업/정상0정상<NA><NA><NA><NA><NA>330.0<NA>대구광역시 달성군 화원읍 천내리 38-1번지대구광역시 달성군 화원읍 화원로1길 1, 2층42955홍익메디케어 주식회사20200331160945I2020-04-02 00:23:32.0<NA>335559.179282257163.326287동물용의료용구판매업<NA><NA>L00<NA>