Overview

Dataset statistics

Number of variables32
Number of observations94
Missing cells841
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory277.4 B

Variable types

Numeric10
Categorical10
Unsupported7
Text4
DateTime1

Dataset

Description22년05월_6270000_대구광역시_02_03_03_P_동물용의료용구판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093417&dataSetDetailId=DDI_0000093453&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (63.9%)Imbalance
영업상태명 is highly imbalanced (63.9%)Imbalance
상세영업상태코드 is highly imbalanced (63.9%)Imbalance
상세영업상태명 is highly imbalanced (63.9%)Imbalance
인허가취소일자 has 94 (100.0%) missing valuesMissing
폐업일자 has 84 (89.4%) missing valuesMissing
휴업시작일자 has 94 (100.0%) missing valuesMissing
휴업종료일자 has 94 (100.0%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
소재지전화 has 22 (23.4%) missing valuesMissing
소재지면적 has 73 (77.7%) missing valuesMissing
소재지우편번호 has 94 (100.0%) missing valuesMissing
소재지전체주소 has 2 (2.1%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
상세업무구분명 has 94 (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 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-21 16:23:12.606767
Analysis finished2024-04-21 16:23:13.418403
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:13.611223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2024-04-22T01:23:14.028585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size880.0 B
동물용의료용구판매업
94 

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 94
100.0%

Length

2024-04-22T01:23:14.427342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:14.711912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 94
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size880.0 B
02_03_03_P
94 

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 94
100.0%

Length

2024-04-22T01:23:15.008662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:15.288579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 94
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445000
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:15.554995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21137.034
Coefficient of variation (CV)0.0061355686
Kurtosis-1.0296339
Mean3445000
Median Absolute Deviation (MAD)10000
Skewness-0.23733136
Sum3.2383 × 108
Variance4.4677419 × 108
MonotonicityIncreasing
2024-04-22T01:23:15.921184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 25
26.6%
3460000 18
19.1%
3420000 16
17.0%
3410000 10
 
10.6%
3470000 8
 
8.5%
3480000 7
 
7.4%
3440000 6
 
6.4%
3430000 4
 
4.3%
ValueCountFrequency (%)
3410000 10
 
10.6%
3420000 16
17.0%
3430000 4
 
4.3%
3440000 6
 
6.4%
3450000 25
26.6%
3460000 18
19.1%
3470000 8
 
8.5%
3480000 7
 
7.4%
ValueCountFrequency (%)
3480000 7
 
7.4%
3470000 8
 
8.5%
3460000 18
19.1%
3450000 25
26.6%
3440000 6
 
6.4%
3430000 4
 
4.3%
3420000 16
17.0%
3410000 10
 
10.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.445 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:16.334056image/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 percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.1137034 × 1015
Coefficient of variation (CV)0.0061355685
Kurtosis-1.0296339
Mean3.445 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.23733136
Sum-4.510488 × 1018
Variance4.4677419 × 1030
MonotonicityNot monotonic
2024-04-22T01:23:16.789102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001320120001 1
 
1.1%
345000001320220001 1
 
1.1%
346000001320180007 1
 
1.1%
346000001320180006 1
 
1.1%
346000001320180005 1
 
1.1%
346000001320180004 1
 
1.1%
346000001320180003 1
 
1.1%
346000001320180002 1
 
1.1%
346000001320160001 1
 
1.1%
346000001320180001 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
341000001319790001 1
1.1%
341000001320120001 1
1.1%
341000001320150001 1
1.1%
341000001320150002 1
1.1%
341000001320160001 1
1.1%
341000001320180001 1
1.1%
341000001320180002 1
1.1%
341000001320200001 1
1.1%
341000001320210001 1
1.1%
341000001320210002 1
1.1%
ValueCountFrequency (%)
348000001320220004 1
1.1%
348000001320220003 1
1.1%
348000001320220002 1
1.1%
348000001320220001 1
1.1%
348000001320200001 1
1.1%
348000001320180002 1
1.1%
348000001320180001 1
1.1%
347000001320220003 1
1.1%
347000001320220002 1
1.1%
347000001320220001 1
1.1%

인허가일자
Real number (ℝ)

Distinct71
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20185680
Minimum19790411
Maximum20220527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:17.227545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790411
5-th percentile20130845
Q120180548
median20185663
Q320210696
95-th percentile20220518
Maximum20220527
Range430116
Interquartile range (IQR)30147.75

Descriptive statistics

Standard deviation48345.607
Coefficient of variation (CV)0.0023950447
Kurtosis48.39206
Mean20185680
Median Absolute Deviation (MAD)15099
Skewness-6.04021
Sum1.897454 × 109
Variance2.3372977 × 109
MonotonicityNot monotonic
2024-04-22T01:23:17.667099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180605 4
 
4.3%
20180614 4
 
4.3%
20180529 4
 
4.3%
20180607 4
 
4.3%
20220518 3
 
3.2%
20220517 3
 
3.2%
20180611 3
 
3.2%
20180608 3
 
3.2%
20150721 2
 
2.1%
20220401 2
 
2.1%
Other values (61) 62
66.0%
ValueCountFrequency (%)
19790411 1
1.1%
20120614 1
1.1%
20120828 1
1.1%
20121016 1
1.1%
20130321 1
1.1%
20131127 1
1.1%
20140106 1
1.1%
20150721 2
2.1%
20160125 1
1.1%
20160323 1
1.1%
ValueCountFrequency (%)
20220527 1
 
1.1%
20220523 1
 
1.1%
20220520 1
 
1.1%
20220519 2
2.1%
20220518 3
3.2%
20220517 3
3.2%
20220516 1
 
1.1%
20220513 1
 
1.1%
20220428 1
 
1.1%
20220421 1
 
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size880.0 B
1
83 
3
10 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 83
88.3%
3 10
 
10.6%
4 1
 
1.1%

Length

2024-04-22T01:23:18.062046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:18.355951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
88.3%
3 10
 
10.6%
4 1
 
1.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size880.0 B
영업/정상
83 
폐업
10 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.7765957
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 83
88.3%
폐업 10
 
10.6%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-04-22T01:23:18.699809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:19.010005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 83
88.3%
폐업 10
 
10.6%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size880.0 B
0
83 
2
10 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 83
88.3%
2 10
 
10.6%
4 1
 
1.1%

Length

2024-04-22T01:23:19.332379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:19.624327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 83
88.3%
2 10
 
10.6%
4 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size880.0 B
정상
83 
폐업
10 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 83
88.3%
폐업 10
 
10.6%
말소 1
 
1.1%

Length

2024-04-22T01:23:19.943829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:20.237255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 83
88.3%
폐업 10
 
10.6%
말소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing84
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean20200480
Minimum20160930
Maximum20220503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:20.528667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160930
5-th percentile20169660
Q120190158
median20210206
Q320210901
95-th percentile20220462
Maximum20220503
Range59573
Interquartile range (IQR)20743.25

Descriptive statistics

Standard deviation19396.288
Coefficient of variation (CV)0.00096018945
Kurtosis0.27749795
Mean20200480
Median Absolute Deviation (MAD)10252.5
Skewness-0.99288825
Sum2.020048 × 108
Variance3.7621598 × 108
MonotonicityNot monotonic
2024-04-22T01:23:20.882810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20210901 2
 
2.1%
20160930 1
 
1.1%
20210201 1
 
1.1%
20190109 1
 
1.1%
20220503 1
 
1.1%
20220413 1
 
1.1%
20210210 1
 
1.1%
20180330 1
 
1.1%
20190304 1
 
1.1%
(Missing) 84
89.4%
ValueCountFrequency (%)
20160930 1
1.1%
20180330 1
1.1%
20190109 1
1.1%
20190304 1
1.1%
20210201 1
1.1%
20210210 1
1.1%
20210901 2
2.1%
20220413 1
1.1%
20220503 1
1.1%
ValueCountFrequency (%)
20220503 1
1.1%
20220413 1
1.1%
20210901 2
2.1%
20210210 1
1.1%
20210201 1
1.1%
20190304 1
1.1%
20190109 1
1.1%
20180330 1
1.1%
20160930 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

소재지전화
Text

MISSING 

Distinct69
Distinct (%)95.8%
Missing22
Missing (%)23.4%
Memory size880.0 B
2024-04-22T01:23:21.841437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.027778
Min length7

Characters and Unicode

Total characters794
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

Unique66 ?
Unique (%)91.7%

Sample

1st row053-424-0042
2nd row425-7323
3rd row422-4327
4th row422-4327
5th row424-1950
ValueCountFrequency (%)
0533839661 2
 
2.8%
0536262605 2
 
2.8%
422-4327 2
 
2.8%
053-756-9938 1
 
1.4%
053-760-8124 1
 
1.4%
053-424-0042 1
 
1.4%
0536078000 1
 
1.4%
053-793-0279 1
 
1.4%
0537638866 1
 
1.4%
745-2326 1
 
1.4%
Other values (59) 59
81.9%
2024-04-22T01:23:23.207167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 121
15.2%
0 120
15.1%
5 117
14.7%
- 103
13.0%
6 62
7.8%
4 58
7.3%
2 58
7.3%
7 56
7.1%
8 40
 
5.0%
1 35
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 691
87.0%
Dash Punctuation 103
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 121
17.5%
0 120
17.4%
5 117
16.9%
6 62
9.0%
4 58
8.4%
2 58
8.4%
7 56
8.1%
8 40
 
5.8%
1 35
 
5.1%
9 24
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 121
15.2%
0 120
15.1%
5 117
14.7%
- 103
13.0%
6 62
7.8%
4 58
7.3%
2 58
7.3%
7 56
7.1%
8 40
 
5.0%
1 35
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 121
15.2%
0 120
15.1%
5 117
14.7%
- 103
13.0%
6 62
7.8%
4 58
7.3%
2 58
7.3%
7 56
7.1%
8 40
 
5.0%
1 35
 
4.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)95.2%
Missing73
Missing (%)77.7%
Infinite0
Infinite (%)0.0%
Mean449.11762
Minimum0
Maximum1685.1
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:23.775512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q189.1
median262.03
Q3759
95-th percentile1127.63
Maximum1685.1
Range1685.1
Interquartile range (IQR)669.9

Descriptive statistics

Standard deviation451.56178
Coefficient of variation (CV)1.0054421
Kurtosis1.2341779
Mean449.11762
Median Absolute Deviation (MAD)187.03
Skewness1.2913079
Sum9431.47
Variance203908.05
MonotonicityNot monotonic
2024-04-22T01:23:24.152435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
441.2 2
 
2.1%
48.0 1
 
1.1%
970.2 1
 
1.1%
759.0 1
 
1.1%
862.5 1
 
1.1%
330.0 1
 
1.1%
1685.1 1
 
1.1%
207.75 1
 
1.1%
49.0 1
 
1.1%
1127.63 1
 
1.1%
Other values (10) 10
 
10.6%
(Missing) 73
77.7%
ValueCountFrequency (%)
0.0 1
1.1%
48.0 1
1.1%
49.0 1
1.1%
66.12 1
1.1%
75.0 1
1.1%
89.1 1
1.1%
113.74 1
1.1%
207.75 1
1.1%
211.3 1
1.1%
258.18 1
1.1%
ValueCountFrequency (%)
1685.1 1
1.1%
1127.63 1
1.1%
996.42 1
1.1%
970.2 1
1.1%
862.5 1
1.1%
759.0 1
1.1%
441.2 2
2.1%
438.0 1
1.1%
330.0 1
1.1%
262.03 1
1.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

소재지전체주소
Text

MISSING 

Distinct83
Distinct (%)90.2%
Missing2
Missing (%)2.1%
Memory size880.0 B
2024-04-22T01:23:25.102279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36.5
Mean length24.293478
Min length17

Characters and Unicode

Total characters2235
Distinct characters141
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

Unique76 ?
Unique (%)82.6%

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 92
21.1%
번지 52
 
11.9%
40
 
9.2%
북구 25
 
5.7%
수성구 16
 
3.7%
동구 16
 
3.7%
산격동 15
 
3.4%
호 14
 
3.2%
중구 10
 
2.3%
층 10
 
2.3%
Other values (85) 146
33.5%
2024-04-22T01:23:26.497459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 453
20.3%
427
19.1%
구 181
 
8.1%
동 113
 
5.1%
대 106
 
4.7%
시 97
 
4.3%
역 93
 
4.2%
광 92
 
4.1%
- 71
 
3.2%
지 64
 
2.9%
Other values (131) 538
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1276
57.1%
Other Punctuation 455
 
20.4%
Space Separator 427
 
19.1%
Dash Punctuation 71
 
3.2%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 181
14.2%
동 113
 
8.9%
대 106
 
8.3%
시 97
 
7.6%
역 93
 
7.3%
광 92
 
7.2%
지 64
 
5.0%
번 52
 
4.1%
산 29
 
2.3%
성 28
 
2.2%
Other values (121) 421
33.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
M 1
20.0%
S 1
20.0%
T 1
20.0%
P 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 453
99.6%
, 2
 
0.4%
Space Separator
ValueCountFrequency (%)
427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1276
57.1%
Common 954
42.7%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 181
14.2%
동 113
 
8.9%
대 106
 
8.3%
시 97
 
7.6%
역 93
 
7.3%
광 92
 
7.2%
지 64
 
5.0%
번 52
 
4.1%
산 29
 
2.3%
성 28
 
2.2%
Other values (121) 421
33.0%
Common
ValueCountFrequency (%)
* 453
47.5%
427
44.8%
- 71
 
7.4%
, 2
 
0.2%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
K 1
20.0%
M 1
20.0%
S 1
20.0%
T 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1276
57.1%
ASCII 959
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 453
47.2%
427
44.5%
- 71
 
7.4%
, 2
 
0.2%
K 1
 
0.1%
+ 1
 
0.1%
M 1
 
0.1%
S 1
 
0.1%
T 1
 
0.1%
P 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 181
14.2%
동 113
 
8.9%
대 106
 
8.3%
시 97
 
7.6%
역 93
 
7.3%
광 92
 
7.2%
지 64
 
5.0%
번 52
 
4.1%
산 29
 
2.3%
성 28
 
2.2%
Other values (121) 421
33.0%

도로명전체주소
Text

Distinct88
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size880.0 B
2024-04-22T01:23:27.336230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length29.457447
Min length21

Characters and Unicode

Total characters2769
Distinct characters176
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

Unique82 ?
Unique (%)87.2%

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 94
 
16.8%
88
 
15.7%
층 25
 
4.5%
북구 25
 
4.5%
호 20
 
3.6%
수성구 18
 
3.2%
동구 16
 
2.9%
산격동 15
 
2.7%
중구 10
 
1.8%
동 9
 
1.6%
Other values (149) 239
42.8%
2024-04-22T01:23:28.641048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
16.9%
* 419
15.1%
구 196
 
7.1%
동 138
 
5.0%
대 132
 
4.8%
시 101
 
3.6%
로 96
 
3.5%
역 96
 
3.5%
광 94
 
3.4%
) 87
 
3.1%
Other values (166) 943
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1628
58.8%
Other Punctuation 477
 
17.2%
Space Separator 467
 
16.9%
Close Punctuation 87
 
3.1%
Open Punctuation 87
 
3.1%
Dash Punctuation 17
 
0.6%
Uppercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 196
 
12.0%
동 138
 
8.5%
대 132
 
8.1%
시 101
 
6.2%
로 96
 
5.9%
역 96
 
5.9%
광 94
 
5.8%
성 36
 
2.2%
북 31
 
1.9%
길 30
 
1.8%
Other values (154) 678
41.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
M 1
20.0%
T 1
20.0%
P 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 419
87.8%
, 58
 
12.2%
Space Separator
ValueCountFrequency (%)
467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1628
58.8%
Common 1136
41.0%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 196
 
12.0%
동 138
 
8.5%
대 132
 
8.1%
시 101
 
6.2%
로 96
 
5.9%
역 96
 
5.9%
광 94
 
5.8%
성 36
 
2.2%
북 31
 
1.9%
길 30
 
1.8%
Other values (154) 678
41.6%
Common
ValueCountFrequency (%)
467
41.1%
* 419
36.9%
) 87
 
7.7%
( 87
 
7.7%
, 58
 
5.1%
- 17
 
1.5%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
M 1
20.0%
T 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1628
58.8%
ASCII 1141
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
40.9%
* 419
36.7%
) 87
 
7.6%
( 87
 
7.6%
, 58
 
5.1%
- 17
 
1.5%
S 1
 
0.1%
+ 1
 
0.1%
K 1
 
0.1%
M 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
구 196
 
12.0%
동 138
 
8.5%
대 132
 
8.1%
시 101
 
6.2%
로 96
 
5.9%
역 96
 
5.9%
광 94
 
5.8%
성 36
 
2.2%
북 31
 
1.9%
길 30
 
1.8%
Other values (154) 678
41.6%

도로명우편번호
Real number (ℝ)

Distinct82
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41902.766
Minimum41036
Maximum43018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:28.991353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41125.65
Q141504.25
median41917
Q342261
95-th percentile42920.45
Maximum43018
Range1982
Interquartile range (IQR)756.75

Descriptive statistics

Standard deviation557.50686
Coefficient of variation (CV)0.013304775
Kurtosis-0.90002037
Mean41902.766
Median Absolute Deviation (MAD)401.5
Skewness0.37343725
Sum3938860
Variance310813.9
MonotonicityNot monotonic
2024-04-22T01:23:29.260313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41516 4
 
4.3%
42261 3
 
3.2%
41518 3
 
3.2%
42405 2
 
2.1%
41267 2
 
2.1%
41504 2
 
2.1%
41941 2
 
2.1%
41940 2
 
2.1%
41517 1
 
1.1%
42007 1
 
1.1%
Other values (72) 72
76.6%
ValueCountFrequency (%)
41036 1
1.1%
41077 1
1.1%
41084 1
1.1%
41106 1
1.1%
41125 1
1.1%
41126 1
1.1%
41144 1
1.1%
41145 1
1.1%
41164 1
1.1%
41206 1
1.1%
ValueCountFrequency (%)
43018 1
1.1%
42974 1
1.1%
42955 1
1.1%
42930 1
1.1%
42925 1
1.1%
42918 1
1.1%
42915 1
1.1%
42829 1
1.1%
42818 1
1.1%
42796 1
1.1%

사업장명
Text

Distinct89
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size880.0 B
2024-04-22T01:23:30.177400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.3829787
Min length3

Characters and Unicode

Total characters788
Distinct characters178
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

Unique84 ?
Unique (%)89.4%

Sample

1st row(주)한국교통정보
2nd row컴패니언
3rd row컴패니언
4th row(주)태영엘에스
5th row폴리파크(POLYPARK)
ValueCountFrequency (%)
폴리파크 16
 
11.3%
주식회사 9
 
6.4%
주)이마트에브리데이 5
 
3.5%
주)포파코 4
 
2.8%
홈플러스 3
 
2.1%
컴패니언 2
 
1.4%
삼아유통 2
 
1.4%
포파코 2
 
1.4%
칠곡점 2
 
1.4%
상인점 2
 
1.4%
Other values (88) 94
66.7%
2024-04-22T01:23:31.332602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
6.0%
점 36
 
4.6%
이 32
 
4.1%
파 30
 
3.8%
리 28
 
3.6%
주 28
 
3.6%
( 24
 
3.0%
) 24
 
3.0%
크 23
 
2.9%
스 23
 
2.9%
Other values (168) 493
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 646
82.0%
Space Separator 47
 
6.0%
Uppercase Letter 41
 
5.2%
Open Punctuation 24
 
3.0%
Close Punctuation 24
 
3.0%
Lowercase Letter 3
 
0.4%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 36
 
5.6%
이 32
 
5.0%
파 30
 
4.6%
리 28
 
4.3%
주 28
 
4.3%
크 23
 
3.6%
스 23
 
3.6%
사 22
 
3.4%
폴 21
 
3.3%
에 13
 
2.0%
Other values (143) 390
60.4%
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%
K 2
 
4.9%
Y 2
 
4.9%
Other values (6) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
; 1
50.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 646
82.0%
Common 98
 
12.4%
Latin 44
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 36
 
5.6%
이 32
 
5.0%
파 30
 
4.6%
리 28
 
4.3%
주 28
 
4.3%
크 23
 
3.6%
스 23
 
3.6%
사 22
 
3.4%
폴 21
 
3.3%
에 13
 
2.0%
Other values (143) 390
60.4%
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%
K 2
 
4.5%
Y 2
 
4.5%
Other values (9) 11
25.0%
Common
ValueCountFrequency (%)
47
48.0%
( 24
24.5%
) 24
24.5%
& 1
 
1.0%
- 1
 
1.0%
; 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
82.0%
ASCII 142
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
33.1%
( 24
16.9%
) 24
16.9%
I 5
 
3.5%
O 5
 
3.5%
N 4
 
2.8%
P 4
 
2.8%
S 3
 
2.1%
R 3
 
2.1%
A 3
 
2.1%
Other values (15) 20
14.1%
Hangul
ValueCountFrequency (%)
점 36
 
5.6%
이 32
 
5.0%
파 30
 
4.6%
리 28
 
4.3%
주 28
 
4.3%
크 23
 
3.6%
스 23
 
3.6%
사 22
 
3.4%
폴 21
 
3.3%
에 13
 
2.0%
Other values (143) 390
60.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.019428 × 1013
Minimum2.0120614 × 1013
Maximum2.0220527 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:31.599991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0120614 × 1013
5-th percentile2.0156834 × 1013
Q12.0180607 × 1013
median2.0191121 × 1013
Q32.021114 × 1013
95-th percentile2.0220518 × 1013
Maximum2.0220527 × 1013
Range9.9912963 × 1010
Interquartile range (IQR)3.0532998 × 1010

Descriptive statistics

Standard deviation2.2813301 × 1010
Coefficient of variation (CV)0.0011296913
Kurtosis0.83840525
Mean2.019428 × 1013
Median Absolute Deviation (MAD)1.9037554 × 1010
Skewness-0.83060775
Sum1.8982623 × 1015
Variance5.2044672 × 1020
MonotonicityNot monotonic
2024-04-22T01:23:31.862989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120828094312 1
 
1.1%
20220401170911 1
 
1.1%
20180611105416 1
 
1.1%
20180611105147 1
 
1.1%
20180605165058 1
 
1.1%
20180605164752 1
 
1.1%
20180605162034 1
 
1.1%
20180605175351 1
 
1.1%
20160125114353 1
 
1.1%
20180528162537 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
20120614131152 1
1.1%
20120828094312 1
1.1%
20140106104704 1
1.1%
20150721150716 1
1.1%
20150721151747 1
1.1%
20160125114353 1
1.1%
20160323171659 1
1.1%
20160419104757 1
1.1%
20160930135708 1
1.1%
20170703153603 1
1.1%
ValueCountFrequency (%)
20220527093838 1
1.1%
20220523094558 1
1.1%
20220520105122 1
1.1%
20220519135147 1
1.1%
20220519094125 1
1.1%
20220518100023 1
1.1%
20220518094807 1
1.1%
20220518094655 1
1.1%
20220517144653 1
1.1%
20220517144304 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size880.0 B
I
82 
U
12 

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 82
87.2%
U 12
 
12.8%

Length

2024-04-22T01:23:32.085515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:32.362206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
87.2%
u 12
 
12.8%

데이터갱신일자
Date

Distinct50
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size880.0 B
Minimum2018-08-31 23:59:59
Maximum2022-05-29 00:22:32
2024-04-22T01:23:32.679656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:23:33.114703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)91.4%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean344505.62
Minimum330180
Maximum356611.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:33.528518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330180
5-th percentile334241.11
Q1342037.16
median345206.58
Q3346775.26
95-th percentile353187.92
Maximum356611.47
Range26431.471
Interquartile range (IQR)4738.1072

Descriptive statistics

Standard deviation5324.1544
Coefficient of variation (CV)0.015454477
Kurtosis0.6548622
Mean344505.62
Median Absolute Deviation (MAD)2222.5975
Skewness-0.36304685
Sum32039023
Variance28346620
MonotonicityNot monotonic
2024-04-22T01:23:33.975794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344912.358902 3
 
3.2%
344686.259338 2
 
2.1%
344309.71562 2
 
2.1%
345575.46099 2
 
2.1%
345793.311978 2
 
2.1%
353019.13771 2
 
2.1%
342236.602185 2
 
2.1%
342983.980987 1
 
1.1%
345206.578526 1
 
1.1%
345439.046806 1
 
1.1%
Other values (75) 75
79.8%
ValueCountFrequency (%)
330180.0 1
1.1%
331994.266957 1
1.1%
332211.021477 1
1.1%
332317.0 1
1.1%
333039.054274 1
1.1%
335042.486907 1
1.1%
335095.041373 1
1.1%
335186.778586 1
1.1%
335559.179282 1
1.1%
337916.079938 1
1.1%
ValueCountFrequency (%)
356611.471345 1
1.1%
356060.590272 1
1.1%
354567.841787 1
1.1%
354003.244561 1
1.1%
353212.634985 1
1.1%
353171.444006 1
1.1%
353019.13771 2
2.1%
352986.591398 1
1.1%
352722.310665 1
1.1%
350685.592287 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)91.4%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean264385.16
Minimum244698
Maximum273217.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size974.0 B
2024-04-22T01:23:34.373348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244698
5-th percentile258925.21
Q1262111.06
median264564.23
Q3266778
95-th percentile269449.99
Maximum273217.03
Range28519.03
Interquartile range (IQR)4666.9421

Descriptive statistics

Standard deviation3971.7684
Coefficient of variation (CV)0.01502266
Kurtosis5.7561795
Mean264385.16
Median Absolute Deviation (MAD)2453.171
Skewness-1.2851698
Sum24587820
Variance15774945
MonotonicityNot monotonic
2024-04-22T01:23:34.787768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268253.830253 3
 
3.2%
263958.880864 2
 
2.1%
264309.215111 2
 
2.1%
268870.659507 2
 
2.1%
264564.232699 2
 
2.1%
261926.162918 2
 
2.1%
263098.702086 2
 
2.1%
264559.497125 1
 
1.1%
260875.577524 1
 
1.1%
259460.119325 1
 
1.1%
Other values (75) 75
79.8%
ValueCountFrequency (%)
244698.0 1
1.1%
254400.0 1
1.1%
257163.326287 1
1.1%
257618.088478 1
1.1%
258645.860959 1
1.1%
259111.444544 1
1.1%
259330.525763 1
1.1%
259460.119325 1
1.1%
259790.219749 1
1.1%
260134.448701 1
1.1%
ValueCountFrequency (%)
273217.030061 1
1.1%
272735.67566 1
1.1%
270836.564701 1
1.1%
270352.09036 1
1.1%
270241.487523 1
1.1%
268922.318187 1
1.1%
268870.659507 2
2.1%
268737.493191 1
1.1%
268678.066448 1
1.1%
268649.816648 1
1.1%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size880.0 B
동물용의료용구판매업
94 

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 94
100.0%

Length

2024-04-22T01:23:35.183193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:35.459321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 94
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size974.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size880.0 B
000
67 
L00
27 

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 67
71.3%
L00 27
28.7%

Length

2024-04-22T01:23:35.754018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:36.038133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 67
71.3%
l00 27
28.7%

총종업원수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size880.0 B
<NA>
66 
0
28 

Length

Max length4
Median length4
Mean length3.106383
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> 66
70.2%
0 28
29.8%

Length

2024-04-22T01:23:36.379574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:23:36.688581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
70.2%
0 28
29.8%

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
8485동물용의료용구판매업02_03_03_P347000034700000132021000120210317<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 대곡동 ****-*대구광역시 달서구 한실로*길 ***-**, *층 (대곡동)42829한국씨엔에스20210317163312I2021-03-19 00:22:59.0<NA><NA><NA>동물용의료용구판매업<NA>000<NA>
8586동물용의료용구판매업02_03_03_P347000034700000132022000220220518<NA>1영업/정상0정상<NA><NA><NA><NA>053-550-8000<NA><NA>대구광역시 달서구 용산동 ***-**대구광역시 달서구 달구벌대로 ****, 지하*층 (용산동)42637홈플러스 성서점20220518094655I2022-05-20 00:22:32.0<NA>337916.079938262111.061698동물용의료용구판매업<NA>L000
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