Overview

Dataset statistics

Number of variables32
Number of observations2440
Missing cells16192
Missing cells (%)20.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory645.9 KiB
Average record size in memory271.1 B

Variable types

Numeric5
Categorical14
DateTime2
Unsupported6
Text5

Dataset

Description23년07월_6270000_대구광역시_02_03_06_P_동물생산업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000099319&dataSetDetailId=DDI_0000099357&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
영업상태구분코드 is highly imbalanced (92.1%)Imbalance
영업상태명 is highly imbalanced (92.1%)Imbalance
상세영업상태코드 is highly imbalanced (92.1%)Imbalance
상세영업상태명 is highly imbalanced (92.1%)Imbalance
폐업일자 is highly imbalanced (73.0%)Imbalance
소재지면적 is highly imbalanced (57.5%)Imbalance
데이터갱신일자 is highly imbalanced (72.0%)Imbalance
업무구분명 is highly imbalanced (96.8%)Imbalance
권리주체일련번호 is highly imbalanced (89.7%)Imbalance
총직원수 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 2440 (100.0%) missing valuesMissing
휴업시작일자 has 2440 (100.0%) missing valuesMissing
휴업종료일자 has 2440 (100.0%) missing valuesMissing
재개업일자 has 2440 (100.0%) missing valuesMissing
소재지전화 has 1220 (50.0%) missing valuesMissing
소재지우편번호 has 2440 (100.0%) missing valuesMissing
소재지전체주소 has 56 (2.3%) missing valuesMissing
도로명전체주소 has 26 (1.1%) missing valuesMissing
도로명우편번호 has 190 (7.8%) missing valuesMissing
업태구분명 has 2440 (100.0%) missing valuesMissing
좌표정보(X) has 30 (1.2%) missing valuesMissing
좌표정보(Y) has 30 (1.2%) missing valuesMissing
개방자치단체코드 is highly skewed (γ1 = 23.5949688)Skewed
관리번호 is highly skewed (γ1 = 23.59001787)Skewed
번호 has unique valuesUnique
관리번호 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

Reproduction

Analysis started2023-12-10 20:16:28.916069
Analysis finished2023-12-10 20:16:30.043709
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2440
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1220.5
Minimum1
Maximum2440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.6 KiB
2023-12-11T05:16:30.143673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile122.95
Q1610.75
median1220.5
Q31830.25
95-th percentile2318.05
Maximum2440
Range2439
Interquartile range (IQR)1219.5

Descriptive statistics

Standard deviation704.51165
Coefficient of variation (CV)0.577232
Kurtosis-1.2
Mean1220.5
Median Absolute Deviation (MAD)610
Skewness0
Sum2978020
Variance496336.67
MonotonicityStrictly increasing
2023-12-11T05:16:30.345670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1631 1
 
< 0.1%
1624 1
 
< 0.1%
1625 1
 
< 0.1%
1626 1
 
< 0.1%
1627 1
 
< 0.1%
1628 1
 
< 0.1%
1629 1
 
< 0.1%
1630 1
 
< 0.1%
1632 1
 
< 0.1%
Other values (2430) 2430
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2440 1
< 0.1%
2439 1
< 0.1%
2438 1
< 0.1%
2437 1
< 0.1%
2436 1
< 0.1%
2435 1
< 0.1%
2434 1
< 0.1%
2433 1
< 0.1%
2432 1
< 0.1%
2431 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
동물생산업
2440 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물생산업 2440
100.0%

Length

2023-12-11T05:16:30.518271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:30.638645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물생산업 2440
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
02_03_06_P
2440 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_06_P
2nd row02_03_06_P
3rd row02_03_06_P
4th row02_03_06_P
5th row02_03_06_P

Common Values

ValueCountFrequency (%)
02_03_06_P 2440
100.0%

Length

2023-12-11T05:16:30.761086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:30.875324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_06_p 2440
100.0%

개방자치단체코드
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451025.8
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.6 KiB
2023-12-11T05:16:30.980092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation63125.429
Coefficient of variation (CV)0.018291787
Kurtosis630.42903
Mean3451025.8
Median Absolute Deviation (MAD)20000
Skewness23.594969
Sum8.420503 × 109
Variance3.9848198 × 109
MonotonicityIncreasing
2023-12-11T05:16:31.097809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3460000 471
19.3%
3470000 446
18.3%
3420000 366
15.0%
3450000 352
14.4%
3480000 242
9.9%
3440000 232
9.5%
3410000 180
 
7.4%
3430000 148
 
6.1%
5141000 3
 
0.1%
ValueCountFrequency (%)
3410000 180
 
7.4%
3420000 366
15.0%
3430000 148
 
6.1%
3440000 232
9.5%
3450000 352
14.4%
3460000 471
19.3%
3470000 446
18.3%
3480000 242
9.9%
5141000 3
 
0.1%
ValueCountFrequency (%)
5141000 3
 
0.1%
3480000 242
9.9%
3470000 446
18.3%
3460000 471
19.3%
3450000 352
14.4%
3440000 232
9.5%
3430000 148
 
6.1%
3420000 366
15.0%
3410000 180
 
7.4%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct2440
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4510246 × 1017
Minimum3.41 × 1017
Maximum5.14 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.6 KiB
2023-12-11T05:16:31.276732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.43 × 1017
median3.45 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum5.14 × 1017
Range1.73 × 1017
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation6.30925 × 1015
Coefficient of variation (CV)0.018282251
Kurtosis630.25327
Mean3.4510246 × 1017
Median Absolute Deviation (MAD)1.9999988 × 1015
Skewness23.590018
Sum-6.500217 × 1018
Variance3.9806636 × 1031
MonotonicityNot monotonic
2023-12-11T05:16:31.459004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000004520150001 1
 
< 0.1%
346000004520170003 1
 
< 0.1%
346000004520090001 1
 
< 0.1%
346000004520100001 1
 
< 0.1%
346000004520100003 1
 
< 0.1%
346000004520110001 1
 
< 0.1%
346000004520110002 1
 
< 0.1%
346000004520110003 1
 
< 0.1%
346000004520110004 1
 
< 0.1%
346000004520180031 1
 
< 0.1%
Other values (2430) 2430
99.6%
ValueCountFrequency (%)
341000003720080001 1
< 0.1%
341000003720080002 1
< 0.1%
341000003720080003 1
< 0.1%
341000003720080004 1
< 0.1%
341000003720080005 1
< 0.1%
341000003720080006 1
< 0.1%
341000003720080007 1
< 0.1%
341000003720080008 1
< 0.1%
341000003720080009 1
< 0.1%
341000003720080010 1
< 0.1%
ValueCountFrequency (%)
514000003720200001 1
< 0.1%
514000003720180002 1
< 0.1%
514000003720180001 1
< 0.1%
348000005020220001 1
< 0.1%
348000005020210011 1
< 0.1%
348000005020200017 1
< 0.1%
348000005020200014 1
< 0.1%
348000005020200005 1
< 0.1%
348000005020190002 1
< 0.1%
348000005020180040 1
< 0.1%

인허가일자
Date

Distinct662
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2008-02-19 00:00:00
Maximum2023-07-13 00:00:00
2023-12-11T05:16:31.652583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:16:31.856920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2440
Missing (%)100.0%
Memory size21.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
4
2404 
1
 
19
3
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 2404
98.5%
1 19
 
0.8%
3 17
 
0.7%

Length

2023-12-11T05:16:32.020727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:32.154830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 2404
98.5%
1 19
 
0.8%
3 17
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
취소/말소/만료/정지/중지
2404 
영업/정상
 
19
폐업
 
17

Length

Max length14
Median length14
Mean length13.846311
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 2404
98.5%
영업/정상 19
 
0.8%
폐업 17
 
0.7%

Length

2023-12-11T05:16:32.315660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:32.461198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 2404
98.5%
영업/정상 19
 
0.8%
폐업 17
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
4
2404 
0
 
19
2
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 2404
98.5%
0 19
 
0.8%
2 17
 
0.7%

Length

2023-12-11T05:16:32.607110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:32.772398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 2404
98.5%
0 19
 
0.8%
2 17
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
말소
2404 
정상
 
19
폐업
 
17

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
말소 2404
98.5%
정상 19
 
0.8%
폐업 17
 
0.7%

Length

2023-12-11T05:16:32.896905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:33.046650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 2404
98.5%
정상 19
 
0.8%
폐업 17
 
0.7%

폐업일자
Categorical

IMBALANCE 

Distinct19
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2022-07-01
1213 
2022-05-26
1188 
<NA>
 
21
2022-04-28
 
3
2021-11-15
 
1
Other values (14)
 
14

Length

Max length10
Median length10
Mean length9.9483607
Min length4

Unique

Unique15 ?
Unique (%)0.6%

Sample

1st row2022-07-01
2nd row2022-07-01
3rd row2022-07-01
4th row2022-07-01
5th row2022-07-01

Common Values

ValueCountFrequency (%)
2022-07-01 1213
49.7%
2022-05-26 1188
48.7%
<NA> 21
 
0.9%
2022-04-28 3
 
0.1%
2021-11-15 1
 
< 0.1%
2021-12-17 1
 
< 0.1%
2021-12-31 1
 
< 0.1%
2019-01-21 1
 
< 0.1%
2021-06-04 1
 
< 0.1%
2022-12-23 1
 
< 0.1%
Other values (9) 9
 
0.4%

Length

2023-12-11T05:16:33.219673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-07-01 1213
49.7%
2022-05-26 1188
48.7%
na 21
 
0.9%
2022-04-28 3
 
0.1%
2022-12-13 1
 
< 0.1%
2015-04-23 1
 
< 0.1%
2019-11-20 1
 
< 0.1%
2021-03-22 1
 
< 0.1%
2023-01-05 1
 
< 0.1%
2012-06-26 1
 
< 0.1%
Other values (9) 9
 
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2440
Missing (%)100.0%
Memory size21.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2440
Missing (%)100.0%
Memory size21.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2440
Missing (%)100.0%
Memory size21.6 KiB

소재지전화
Text

MISSING 

Distinct453
Distinct (%)37.1%
Missing1220
Missing (%)50.0%
Memory size19.2 KiB
2023-12-11T05:16:33.557481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.713115
Min length7

Characters and Unicode

Total characters13070
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

Unique3 ?
Unique (%)0.2%

Sample

1st row053-252-9133
2nd row422-0250
3rd row255-2218
4th row431-4500
5th row255-2238
ValueCountFrequency (%)
053-981-3309 12
 
1.0%
053-951-1013 10
 
0.8%
070-8805-8542 8
 
0.7%
053-285-3434 8
 
0.7%
255-2218 8
 
0.7%
053-985-3663 6
 
0.5%
053-285-7979 6
 
0.5%
053-963-7374 6
 
0.5%
053-795-7771 6
 
0.5%
070-7757-4445 6
 
0.5%
Other values (443) 1144
93.8%
2023-12-11T05:16:34.084638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2091
16.0%
0 1934
14.8%
3 1703
13.0%
- 1565
12.0%
7 1093
8.4%
2 1010
7.7%
6 845
6.5%
1 773
 
5.9%
4 705
 
5.4%
9 699
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11505
88.0%
Dash Punctuation 1565
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2091
18.2%
0 1934
16.8%
3 1703
14.8%
7 1093
9.5%
2 1010
8.8%
6 845
7.3%
1 773
 
6.7%
4 705
 
6.1%
9 699
 
6.1%
8 652
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 1565
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13070
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2091
16.0%
0 1934
14.8%
3 1703
13.0%
- 1565
12.0%
7 1093
8.4%
2 1010
7.7%
6 845
6.5%
1 773
 
5.9%
4 705
 
5.4%
9 699
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2091
16.0%
0 1934
14.8%
3 1703
13.0%
- 1565
12.0%
7 1093
8.4%
2 1010
7.7%
6 845
6.5%
1 773
 
5.9%
4 705
 
5.4%
9 699
 
5.3%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
0
2229 
<NA>
 
211

Length

Max length4
Median length1
Mean length1.2594262
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 2229
91.4%
<NA> 211
 
8.6%

Length

2023-12-11T05:16:34.274704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:34.413754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2229
91.4%
na 211
 
8.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2440
Missing (%)100.0%
Memory size21.6 KiB

소재지전체주소
Text

MISSING 

Distinct798
Distinct (%)33.5%
Missing56
Missing (%)2.3%
Memory size19.2 KiB
2023-12-11T05:16:34.727604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length22.73448
Min length13

Characters and Unicode

Total characters54199
Distinct characters254
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

Unique272 ?
Unique (%)11.4%

Sample

1st row대구광역시 중구 봉산동 ***-**
2nd row대구광역시 중구 태평로*가 ***-*
3rd row대구광역시 중구 봉산동 ***-*
4th row대구광역시 중구 봉산동 ***-**
5th row대구광역시 중구 삼덕동*가 **-*
ValueCountFrequency (%)
대구광역시 2384
22.1%
1654
15.3%
번지 738
 
6.8%
수성구 443
 
4.1%
달서구 440
 
4.1%
동구 366
 
3.4%
북구 334
 
3.1%
달성군 238
 
2.2%
남구 232
 
2.2%
층 211
 
2.0%
Other values (285) 3741
34.7%
2023-12-11T05:16:35.471618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11526
21.3%
10585
19.5%
구 4587
 
8.5%
동 2732
 
5.0%
대 2642
 
4.9%
시 2448
 
4.5%
역 2396
 
4.4%
광 2388
 
4.4%
- 1903
 
3.5%
지 883
 
1.6%
Other values (244) 12109
22.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30099
55.5%
Other Punctuation 11542
 
21.3%
Space Separator 10585
 
19.5%
Dash Punctuation 1903
 
3.5%
Uppercase Letter 44
 
0.1%
Close Punctuation 10
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4587
15.2%
동 2732
 
9.1%
대 2642
 
8.8%
시 2448
 
8.1%
역 2396
 
8.0%
광 2388
 
7.9%
지 883
 
2.9%
성 883
 
2.9%
번 742
 
2.5%
서 735
 
2.4%
Other values (228) 9663
32.1%
Uppercase Letter
ValueCountFrequency (%)
A 8
18.2%
B 8
18.2%
O 8
18.2%
M 8
18.2%
D 4
9.1%
Z 4
9.1%
L 2
 
4.5%
H 2
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 11526
99.9%
, 16
 
0.1%
Space Separator
ValueCountFrequency (%)
10585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30099
55.5%
Common 24054
44.4%
Latin 46
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4587
15.2%
동 2732
 
9.1%
대 2642
 
8.8%
시 2448
 
8.1%
역 2396
 
8.0%
광 2388
 
7.9%
지 883
 
2.9%
성 883
 
2.9%
번 742
 
2.5%
서 735
 
2.4%
Other values (228) 9663
32.1%
Latin
ValueCountFrequency (%)
A 8
17.4%
B 8
17.4%
O 8
17.4%
M 8
17.4%
D 4
8.7%
Z 4
8.7%
e 2
 
4.3%
L 2
 
4.3%
H 2
 
4.3%
Common
ValueCountFrequency (%)
* 11526
47.9%
10585
44.0%
- 1903
 
7.9%
, 16
 
0.1%
) 10
 
< 0.1%
( 10
 
< 0.1%
+ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30099
55.5%
ASCII 24100
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11526
47.8%
10585
43.9%
- 1903
 
7.9%
, 16
 
0.1%
) 10
 
< 0.1%
( 10
 
< 0.1%
A 8
 
< 0.1%
B 8
 
< 0.1%
O 8
 
< 0.1%
M 8
 
< 0.1%
Other values (6) 18
 
0.1%
Hangul
ValueCountFrequency (%)
구 4587
15.2%
동 2732
 
9.1%
대 2642
 
8.8%
시 2448
 
8.1%
역 2396
 
8.0%
광 2388
 
7.9%
지 883
 
2.9%
성 883
 
2.9%
번 742
 
2.5%
서 735
 
2.4%
Other values (228) 9663
32.1%

도로명전체주소
Text

MISSING 

Distinct738
Distinct (%)30.6%
Missing26
Missing (%)1.1%
Memory size19.2 KiB
2023-12-11T05:16:35.849623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length27.882353
Min length19

Characters and Unicode

Total characters67308
Distinct characters290
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

Unique48 ?
Unique (%)2.0%

Sample

1st row대구광역시 중구 달구벌대로 ****-* (봉산동)
2nd row대구광역시 중구 태평로 ** (태평로*가)
3rd row대구광역시 중구 달구벌대로 **** (봉산동)
4th row대구광역시 중구 달구벌대로 ****-* (봉산동)
5th row대구광역시 중구 동성로*길 * (삼덕동*가)
ValueCountFrequency (%)
대구광역시 2414
17.4%
2366
17.1%
층 831
 
6.0%
수성구 469
 
3.4%
달서구 434
 
3.1%
동구 366
 
2.6%
호 355
 
2.6%
북구 352
 
2.5%
달성군 242
 
1.7%
남구 232
 
1.7%
Other values (586) 5801
41.8%
2023-12-11T05:16:36.473413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11452
17.0%
* 10420
15.5%
구 4921
 
7.3%
대 3189
 
4.7%
동 3084
 
4.6%
시 2504
 
3.7%
역 2444
 
3.6%
광 2426
 
3.6%
로 2376
 
3.5%
( 2213
 
3.3%
Other values (280) 22279
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39054
58.0%
Other Punctuation 11786
 
17.5%
Space Separator 11452
 
17.0%
Open Punctuation 2213
 
3.3%
Close Punctuation 2213
 
3.3%
Dash Punctuation 522
 
0.8%
Uppercase Letter 62
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4921
 
12.6%
대 3189
 
8.2%
동 3084
 
7.9%
시 2504
 
6.4%
역 2444
 
6.3%
광 2426
 
6.2%
로 2376
 
6.1%
성 1028
 
2.6%
길 973
 
2.5%
달 923
 
2.4%
Other values (264) 15186
38.9%
Uppercase Letter
ValueCountFrequency (%)
A 18
29.0%
B 12
19.4%
O 8
12.9%
M 8
12.9%
Z 4
 
6.5%
L 4
 
6.5%
D 4
 
6.5%
H 4
 
6.5%
Other Punctuation
ValueCountFrequency (%)
* 10420
88.4%
, 1366
 
11.6%
Space Separator
ValueCountFrequency (%)
11452
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 522
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39054
58.0%
Common 28190
41.9%
Latin 64
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4921
 
12.6%
대 3189
 
8.2%
동 3084
 
7.9%
시 2504
 
6.4%
역 2444
 
6.3%
광 2426
 
6.2%
로 2376
 
6.1%
성 1028
 
2.6%
길 973
 
2.5%
달 923
 
2.4%
Other values (264) 15186
38.9%
Latin
ValueCountFrequency (%)
A 18
28.1%
B 12
18.8%
O 8
12.5%
M 8
12.5%
Z 4
 
6.2%
L 4
 
6.2%
D 4
 
6.2%
H 4
 
6.2%
e 2
 
3.1%
Common
ValueCountFrequency (%)
11452
40.6%
* 10420
37.0%
( 2213
 
7.9%
) 2213
 
7.9%
, 1366
 
4.8%
- 522
 
1.9%
+ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39054
58.0%
ASCII 28254
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11452
40.5%
* 10420
36.9%
( 2213
 
7.8%
) 2213
 
7.8%
, 1366
 
4.8%
- 522
 
1.8%
A 18
 
0.1%
B 12
 
< 0.1%
O 8
 
< 0.1%
M 8
 
< 0.1%
Other values (6) 22
 
0.1%
Hangul
ValueCountFrequency (%)
구 4921
 
12.6%
대 3189
 
8.2%
동 3084
 
7.9%
시 2504
 
6.4%
역 2444
 
6.3%
광 2426
 
6.2%
로 2376
 
6.1%
성 1028
 
2.6%
길 973
 
2.5%
달 923
 
2.4%
Other values (264) 15186
38.9%

도로명우편번호
Text

MISSING 

Distinct474
Distinct (%)21.1%
Missing190
Missing (%)7.8%
Memory size19.2 KiB
2023-12-11T05:16:36.966590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0017778
Min length5

Characters and Unicode

Total characters11254
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

Unique27 ?
Unique (%)1.2%

Sample

1st row41943
2nd row41901
3rd row41943
4th row41959
5th row41942
ValueCountFrequency (%)
41942 28
 
1.2%
43017 26
 
1.2%
41943 26
 
1.2%
42175 24
 
1.1%
43018 22
 
1.0%
41465 20
 
0.9%
42428 19
 
0.8%
41416 18
 
0.8%
41422 17
 
0.8%
42911 16
 
0.7%
Other values (464) 2034
90.4%
2023-12-11T05:16:37.612195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 3064
27.2%
2 1944
17.3%
1 1761
15.6%
7 686
 
6.1%
6 681
 
6.1%
0 663
 
5.9%
9 650
 
5.8%
8 639
 
5.7%
5 637
 
5.7%
3 527
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11252
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3064
27.2%
2 1944
17.3%
1 1761
15.7%
7 686
 
6.1%
6 681
 
6.1%
0 663
 
5.9%
9 650
 
5.8%
8 639
 
5.7%
5 637
 
5.7%
3 527
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3064
27.2%
2 1944
17.3%
1 1761
15.6%
7 686
 
6.1%
6 681
 
6.1%
0 663
 
5.9%
9 650
 
5.8%
8 639
 
5.7%
5 637
 
5.7%
3 527
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 3064
27.2%
2 1944
17.3%
1 1761
15.6%
7 686
 
6.1%
6 681
 
6.1%
0 663
 
5.9%
9 650
 
5.8%
8 639
 
5.7%
5 637
 
5.7%
3 527
 
4.7%

사업장명
Text

Distinct805
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2023-12-11T05:16:37.991251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length5.9647541
Min length1

Characters and Unicode

Total characters14554
Distinct characters539
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)1.6%

Sample

1st row리틀도그
2nd row기역(ㄱ)유통
3rd row개키우는남자
4th row도그라이프 2호점
5th row힐링독
ValueCountFrequency (%)
동물병원 48
 
1.5%
dog 36
 
1.1%
대구점 35
 
1.1%
강아지 34
 
1.0%
펫 24
 
0.7%
애견샵 24
 
0.7%
애견 22
 
0.7%
펫살롱 18
 
0.6%
도그 18
 
0.6%
고양이 16
 
0.5%
Other values (904) 2970
91.5%
2023-12-11T05:16:38.441809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
805
 
5.5%
이 463
 
3.2%
애 323
 
2.2%
견 317
 
2.2%
아 317
 
2.2%
동 309
 
2.1%
펫 304
 
2.1%
원 302
 
2.1%
개 271
 
1.9%
물 268
 
1.8%
Other values (529) 10875
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12121
83.3%
Space Separator 805
 
5.5%
Lowercase Letter 711
 
4.9%
Uppercase Letter 509
 
3.5%
Close Punctuation 135
 
0.9%
Open Punctuation 135
 
0.9%
Other Punctuation 73
 
0.5%
Decimal Number 62
 
0.4%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 463
 
3.8%
애 323
 
2.7%
견 317
 
2.6%
아 317
 
2.6%
동 309
 
2.5%
펫 304
 
2.5%
원 302
 
2.5%
개 271
 
2.2%
물 268
 
2.2%
병 252
 
2.1%
Other values (464) 8995
74.2%
Lowercase Letter
ValueCountFrequency (%)
o 116
16.3%
e 73
 
10.3%
g 60
 
8.4%
s 46
 
6.5%
n 45
 
6.3%
p 40
 
5.6%
a 39
 
5.5%
y 37
 
5.2%
m 34
 
4.8%
l 34
 
4.8%
Other values (12) 187
26.3%
Uppercase Letter
ValueCountFrequency (%)
D 68
13.4%
O 52
 
10.2%
G 44
 
8.6%
M 37
 
7.3%
L 32
 
6.3%
A 32
 
6.3%
T 26
 
5.1%
E 24
 
4.7%
P 22
 
4.3%
H 22
 
4.3%
Other values (12) 150
29.5%
Other Punctuation
ValueCountFrequency (%)
# 20
27.4%
' 16
21.9%
& 12
16.4%
; 6
 
8.2%
＆ 6
 
8.2%
. 5
 
6.8%
, 4
 
5.5%
! 2
 
2.7%
· 2
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 16
25.8%
2 14
22.6%
4 10
16.1%
6 6
 
9.7%
9 6
 
9.7%
8 4
 
6.5%
5 4
 
6.5%
0 2
 
3.2%
Space Separator
ValueCountFrequency (%)
805
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12109
83.2%
Latin 1220
 
8.4%
Common 1213
 
8.3%
Han 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 463
 
3.8%
애 323
 
2.7%
견 317
 
2.6%
아 317
 
2.6%
동 309
 
2.6%
펫 304
 
2.5%
원 302
 
2.5%
개 271
 
2.2%
물 268
 
2.2%
병 252
 
2.1%
Other values (462) 8983
74.2%
Latin
ValueCountFrequency (%)
o 116
 
9.5%
e 73
 
6.0%
D 68
 
5.6%
g 60
 
4.9%
O 52
 
4.3%
s 46
 
3.8%
n 45
 
3.7%
G 44
 
3.6%
p 40
 
3.3%
a 39
 
3.2%
Other values (34) 637
52.2%
Common
ValueCountFrequency (%)
805
66.4%
) 135
 
11.1%
( 135
 
11.1%
# 20
 
1.6%
1 16
 
1.3%
' 16
 
1.3%
2 14
 
1.2%
& 12
 
1.0%
4 10
 
0.8%
; 6
 
0.5%
Other values (11) 44
 
3.6%
Han
ValueCountFrequency (%)
家 8
66.7%
美 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12105
83.2%
ASCII 2425
 
16.7%
CJK 12
 
0.1%
None 8
 
0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
805
33.2%
) 135
 
5.6%
( 135
 
5.6%
o 116
 
4.8%
e 73
 
3.0%
D 68
 
2.8%
g 60
 
2.5%
O 52
 
2.1%
s 46
 
1.9%
n 45
 
1.9%
Other values (53) 890
36.7%
Hangul
ValueCountFrequency (%)
이 463
 
3.8%
애 323
 
2.7%
견 317
 
2.6%
아 317
 
2.6%
동 309
 
2.6%
펫 304
 
2.5%
원 302
 
2.5%
개 271
 
2.2%
물 268
 
2.2%
병 252
 
2.1%
Other values (461) 8979
74.2%
CJK
ValueCountFrequency (%)
家 8
66.7%
美 4
33.3%
None
ValueCountFrequency (%)
＆ 6
75.0%
· 2
 
25.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 4
100.0%

최종수정시점
Date

Distinct1296
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2010-06-07 14:01:08
Maximum2023-07-13 10:21:03
2023-12-11T05:16:38.589574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:16:38.739933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
I
1915 
U
525 

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 1915
78.5%
U 525
 
21.5%

Length

2023-12-11T05:16:38.895359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:39.018242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1915
78.5%
u 525
 
21.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2022-07-02 17:34:43
1213 
2022-05-27 00:00:00
1205 
2022-08-31 02:40:00
 
8
2023-07-01 16:42:10
 
3
2023-07-15 00:19:09
 
1
Other values (10)
 
10

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique11 ?
Unique (%)0.5%

Sample

1st row2022-07-02 17:34:43
2nd row2022-07-02 17:34:43
3rd row2022-07-02 17:34:43
4th row2022-07-02 17:34:43
5th row2022-07-02 17:34:43

Common Values

ValueCountFrequency (%)
2022-07-02 17:34:43 1213
49.7%
2022-05-27 00:00:00 1205
49.4%
2022-08-31 02:40:00 8
 
0.3%
2023-07-01 16:42:10 3
 
0.1%
2023-07-15 00:19:09 1
 
< 0.1%
2023-01-12 00:41:02 1
 
< 0.1%
2022-08-06 00:22:29 1
 
< 0.1%
2023-06-03 02:40:00 1
 
< 0.1%
2022-09-02 02:40:00 1
 
< 0.1%
2022-12-25 02:40:00 1
 
< 0.1%
Other values (5) 5
 
0.2%

Length

2023-12-11T05:16:39.176910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-07-02 1213
24.9%
17:34:43 1213
24.9%
2022-05-27 1205
24.7%
00:00:00 1205
24.7%
02:40:00 15
 
0.3%
2022-08-31 8
 
0.2%
2023-07-01 3
 
0.1%
16:42:10 3
 
0.1%
2022-09-02 1
 
< 0.1%
2023-02-22 1
 
< 0.1%
Other values (13) 13
 
0.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2440
Missing (%)100.0%
Memory size21.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct733
Distinct (%)30.4%
Missing30
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean343299.37
Minimum327001.98
Maximum357940.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.6 KiB
2023-12-11T05:16:39.332676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327001.98
5-th percentile332313.08
Q1339580.33
median343639.82
Q3346485.49
95-th percentile354595.49
Maximum357940.07
Range30938.091
Interquartile range (IQR)6905.1597

Descriptive statistics

Standard deviation6075.322
Coefficient of variation (CV)0.017696863
Kurtosis-0.10215242
Mean343299.37
Median Absolute Deviation (MAD)3719.3722
Skewness0.20373091
Sum8.2735148 × 108
Variance36909537
MonotonicityNot monotonic
2023-12-11T05:16:39.531978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344187.921988786 18
 
0.7%
344127.944528978 14
 
0.6%
340320.722709596 10
 
0.4%
356519.717420602 10
 
0.4%
347269.624713454 10
 
0.4%
332313.080571277 10
 
0.4%
338701.951391299 10
 
0.4%
354265.895970615 10
 
0.4%
341513.248391903 10
 
0.4%
338090.764412962 10
 
0.4%
Other values (723) 2298
94.2%
(Missing) 30
 
1.2%
ValueCountFrequency (%)
327001.977226581 2
 
0.1%
328657.072415618 4
0.2%
329055.715682698 1
 
< 0.1%
329894.345197953 2
 
0.1%
329918.135063936 1
 
< 0.1%
330011.200865683 2
 
0.1%
330062.157587372 2
 
0.1%
330243.438112482 2
 
0.1%
330313.95471424 2
 
0.1%
330379.598981756 6
0.2%
ValueCountFrequency (%)
357940.068109182 6
0.2%
357925.220487852 6
0.2%
357888.724162031 4
 
0.2%
357854.456686495 6
0.2%
356519.717420602 10
0.4%
356370.489825402 4
 
0.2%
356352.62487008 6
0.2%
356335.999166053 2
 
0.1%
356285.016609231 4
 
0.2%
355939.362329351 6
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct733
Distinct (%)30.4%
Missing30
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean263017.28
Minimum239131.18
Maximum307976.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.6 KiB
2023-12-11T05:16:39.739352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239131.18
5-th percentile256770.64
Q1260952.74
median263046.71
Q3265099.8
95-th percentile271942.62
Maximum307976.59
Range68845.411
Interquartile range (IQR)4147.0636

Descriptive statistics

Standard deviation5257.5953
Coefficient of variation (CV)0.019989543
Kurtosis6.5050169
Mean263017.28
Median Absolute Deviation (MAD)2056.8224
Skewness-0.54151443
Sum6.3387165 × 108
Variance27642308
MonotonicityNot monotonic
2023-12-11T05:16:39.944379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263949.092335901 18
 
0.7%
263895.481557561 14
 
0.6%
272735.675659876 10
 
0.4%
264186.914722861 10
 
0.4%
276801.296256865 10
 
0.4%
263637.272232977 10
 
0.4%
262918.244448919 10
 
0.4%
264832.717331975 10
 
0.4%
262859.379578618 10
 
0.4%
259430.140944248 10
 
0.4%
Other values (723) 2298
94.2%
(Missing) 30
 
1.2%
ValueCountFrequency (%)
239131.182149012 1
 
< 0.1%
239274.015490325 1
 
< 0.1%
240575.186404133 4
0.2%
241707.831871939 1
 
< 0.1%
244266.488938767 6
0.2%
244422.164072638 6
0.2%
244467.090015024 8
0.3%
244532.532589328 4
0.2%
244537.750024761 2
 
0.1%
244553.515554328 2
 
0.1%
ValueCountFrequency (%)
307976.593063326 1
 
< 0.1%
298550.261793432 1
 
< 0.1%
283797.09899421 1
 
< 0.1%
276801.296256865 10
0.4%
275537.799585937 1
 
< 0.1%
274260.233601271 6
0.2%
273521.170988077 4
 
0.2%
273287.182301339 2
 
0.1%
273213.835123387 4
 
0.2%
273190.51345537 8
0.3%

업무구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
동물관련영업
2427 
동물생산업
 
12
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9942623
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동물관련영업 2427
99.5%
동물생산업 12
 
0.5%
<NA> 1
 
< 0.1%

Length

2023-12-11T05:16:40.144528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:40.292188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물관련영업 2427
99.5%
동물생산업 12
 
0.5%
na 1
 
< 0.1%

상세업무구분명
Categorical

Distinct17
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
동물미용업(일반)
501 
미용(일반)
490 
동물판매업(일반)
354 
판매(일반)
349 
동물위탁관리업
293 
Other values (12)
453 

Length

Max length12
Median length9
Mean length7.2934426
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row동물판매업(일반)
2nd row동물판매업(일반)
3rd row동물판매업(일반)
4th row동물판매업(일반)
5th row동물판매업(일반)

Common Values

ValueCountFrequency (%)
동물미용업(일반) 501
20.5%
미용(일반) 490
20.1%
동물판매업(일반) 354
14.5%
판매(일반) 349
14.3%
동물위탁관리업 293
12.0%
위탁관리 285
11.7%
동물생산업 35
 
1.4%
동물운송업 33
 
1.4%
운송 29
 
1.2%
동물전시업 26
 
1.1%
Other values (7) 45
 
1.8%

Length

2023-12-11T05:16:40.441539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동물미용업(일반 501
20.5%
미용(일반 494
20.2%
동물판매업(일반 354
14.5%
판매(일반 349
14.3%
동물위탁관리업 293
12.0%
위탁관리 291
11.9%
동물생산업 35
 
1.4%
동물운송업 33
 
1.3%
운송 30
 
1.2%
동물전시업 26
 
1.1%
Other values (4) 40
 
1.6%

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
000
2383 
L00
 
56
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0004098
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
000 2383
97.7%
L00 56
 
2.3%
<NA> 1
 
< 0.1%

Length

2023-12-11T05:16:40.623983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:40.776476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 2383
97.7%
l00 56
 
2.3%
na 1
 
< 0.1%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
0
2439 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0012295
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 2439
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T05:16:40.947346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:16:41.111971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2439
> 99.9%
na 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물생산업02_03_06_P34100003410000045201500012015-04-09<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41943리틀도그2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344171.965677263948.469707동물관련영업동물판매업(일반)0000
12동물생산업02_03_06_P34100003410000045201500022015-08-27<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA>053-252-91330<NA>대구광역시 중구 태평로*가 ***-*대구광역시 중구 태평로 ** (태평로*가)41901기역(ㄱ)유통2022-04-28 18:10:18I2022-07-02 17:34:43<NA>342786.800151265328.760501동물관련영업동물판매업(일반)0000
23동물생산업02_03_06_P34100003410000045201500032015-12-22<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-*대구광역시 중구 달구벌대로 **** (봉산동)41943개키우는남자2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344187.921989263949.092336동물관련영업동물판매업(일반)0000
34동물생산업02_03_06_P34100003410000045201600012016-10-11<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA>422-02500<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41959도그라이프 2호점2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344127.944529263895.481558동물관련영업동물판매업(일반)0000
45동물생산업02_03_06_P34100003410000045201600022016-11-03<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA>255-22180<NA>대구광역시 중구 삼덕동*가 **-*대구광역시 중구 동성로*길 * (삼덕동*가)41942힐링독2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344207.708443264019.071743동물관련영업동물판매업(일반)0000
56동물생산업02_03_06_P34100003410000045201600032016-11-18<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41959명품도그2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344127.944529263895.481558동물관련영업동물판매업(일반)0000
67동물생산업02_03_06_P34100003410000045201700012017-01-23<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA>431-45000<NA>대구광역시 중구 삼덕동*가 **-**대구광역시 중구 달구벌대로 **** (삼덕동*가)41942더마리2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344358.061267263867.150739동물관련영업동물판매업(일반)0000
78동물생산업02_03_06_P34100003410000045201700022017-07-18<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 **** (봉산동)41943디캣2022-04-28 18:10:18I2022-07-02 17:34:43<NA>344152.30215263951.596614동물관련영업동물판매업(일반)0000
89동물생산업02_03_06_P34100003410000045201700032017-10-16<NA>4취소/말소/만료/정지/중지4말소2022-07-01<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41959삼덕애견2022-04-28 18:10:19I2022-07-02 17:34:43<NA>344127.944529263895.481558동물관련영업동물판매업(일반)0000
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번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
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