Overview

Dataset statistics

Number of variables32
Number of observations2434
Missing cells16241
Missing cells (%)20.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory653.8 KiB
Average record size in memory275.1 B

Variable types

Numeric9
Categorical13
Unsupported6
Text4

Dataset

Description22년09월_6270000_대구광역시_02_03_06_P_동물생산업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096579&dataSetDetailId=DDI_0000096616&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
영업상태구분코드 is highly imbalanced (93.0%)Imbalance
영업상태명 is highly imbalanced (93.0%)Imbalance
상세영업상태코드 is highly imbalanced (93.0%)Imbalance
상세영업상태명 is highly imbalanced (93.0%)Imbalance
소재지면적 is highly imbalanced (57.5%)Imbalance
데이터갱신일자 is highly imbalanced (59.5%)Imbalance
업무구분명 is highly imbalanced (99.5%)Imbalance
권리주체일련번호 is highly imbalanced (89.7%)Imbalance
총직원수 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 2434 (100.0%) missing valuesMissing
휴업시작일자 has 2434 (100.0%) missing valuesMissing
휴업종료일자 has 2434 (100.0%) missing valuesMissing
재개업일자 has 2434 (100.0%) missing valuesMissing
소재지전화 has 1214 (49.9%) missing valuesMissing
소재지우편번호 has 2434 (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 2434 (100.0%) missing valuesMissing
좌표정보(X) has 66 (2.7%) missing valuesMissing
좌표정보(Y) has 66 (2.7%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -27.8654659)Skewed
도로명우편번호 is highly skewed (γ1 = 33.42598264)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 started2024-04-17 17:46:12.034055
Analysis finished2024-04-17 17:46:12.696029
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2434
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1217.5
Minimum1
Maximum2434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:12.751798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile122.65
Q1609.25
median1217.5
Q31825.75
95-th percentile2312.35
Maximum2434
Range2433
Interquartile range (IQR)1216.5

Descriptive statistics

Standard deviation702.7796
Coefficient of variation (CV)0.5772317
Kurtosis-1.2
Mean1217.5
Median Absolute Deviation (MAD)608.5
Skewness0
Sum2963395
Variance493899.17
MonotonicityStrictly increasing
2024-04-18T02:46:12.857256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1627 1
 
< 0.1%
1620 1
 
< 0.1%
1621 1
 
< 0.1%
1622 1
 
< 0.1%
1623 1
 
< 0.1%
1624 1
 
< 0.1%
1625 1
 
< 0.1%
1626 1
 
< 0.1%
1628 1
 
< 0.1%
Other values (2424) 2424
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 (%)
2434 1
< 0.1%
2433 1
< 0.1%
2432 1
< 0.1%
2431 1
< 0.1%
2430 1
< 0.1%
2429 1
< 0.1%
2428 1
< 0.1%
2427 1
< 0.1%
2426 1
< 0.1%
2425 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
동물생산업
2434 

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 2434
100.0%

Length

2024-04-18T02:46:12.954369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:13.024873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물생산업 2434
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
02_03_06_P
2434 

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 2434
100.0%

Length

2024-04-18T02:46:13.095101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:13.160717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_06_p 2434
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448956.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:13.218179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21624.807
Coefficient of variation (CV)0.0062699567
Kurtosis-1.1018933
Mean3448956.5
Median Absolute Deviation (MAD)20000
Skewness-0.35199938
Sum8.39476 × 109
Variance4.676323 × 108
MonotonicityIncreasing
2024-04-18T02:46:13.299901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 471
19.4%
3470000 446
18.3%
3420000 364
15.0%
3450000 352
14.5%
3480000 241
9.9%
3440000 232
9.5%
3410000 180
 
7.4%
3430000 148
 
6.1%
ValueCountFrequency (%)
3410000 180
 
7.4%
3420000 364
15.0%
3430000 148
 
6.1%
3440000 232
9.5%
3450000 352
14.5%
3460000 471
19.4%
3470000 446
18.3%
3480000 241
9.9%
ValueCountFrequency (%)
3480000 241
9.9%
3470000 446
18.3%
3460000 471
19.4%
3450000 352
14.5%
3440000 232
9.5%
3430000 148
 
6.1%
3420000 364
15.0%
3410000 180
 
7.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2434
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4489565 × 1017
Minimum3.41 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:13.405377image/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
Maximum3.4800001 × 1017
Range7.0000013 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.1624808 × 1015
Coefficient of variation (CV)0.0062699566
Kurtosis-1.1018933
Mean3.4489565 × 1017
Median Absolute Deviation (MAD)1.9999988 × 1015
Skewness-0.3519994
Sum-9.0742171 × 1018
Variance4.6763231 × 1030
MonotonicityNot monotonic
2024-04-18T02:46:13.548134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000004520150001 1
 
< 0.1%
346000003720180016 1
 
< 0.1%
346000003720180011 1
 
< 0.1%
346000003720180026 1
 
< 0.1%
346000003720180015 1
 
< 0.1%
346000003720180035 1
 
< 0.1%
346000003720180012 1
 
< 0.1%
346000003720180013 1
 
< 0.1%
346000003720180014 1
 
< 0.1%
346000003720180017 1
 
< 0.1%
Other values (2424) 2424
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 (%)
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%
348000005020180014 1
< 0.1%
348000004920220004 1
< 0.1%
348000004920220003 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct658
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20178784
Minimum20080219
Maximum20220804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:13.852536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080219
5-th percentile20101107
Q120180417
median20180918
Q320200130
95-th percentile20211208
Maximum20220804
Range140585
Interquartile range (IQR)19713

Descriptive statistics

Standard deviation30513.488
Coefficient of variation (CV)0.0015121569
Kurtosis2.5987666
Mean20178784
Median Absolute Deviation (MAD)9905
Skewness-1.5980453
Sum4.9115161 × 1010
Variance9.3107293 × 108
MonotonicityNot monotonic
2024-04-18T02:46:13.964285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180501 32
 
1.3%
20180927 30
 
1.2%
20180416 26
 
1.1%
20180827 24
 
1.0%
20180420 21
 
0.9%
20181105 18
 
0.7%
20180407 18
 
0.7%
20180511 18
 
0.7%
20180423 18
 
0.7%
20181001 16
 
0.7%
Other values (648) 2213
90.9%
ValueCountFrequency (%)
20080219 4
 
0.2%
20080222 2
 
0.1%
20080225 14
0.6%
20080305 2
 
0.1%
20080408 2
 
0.1%
20080421 4
 
0.2%
20080424 2
 
0.1%
20080506 4
 
0.2%
20080509 2
 
0.1%
20080521 4
 
0.2%
ValueCountFrequency (%)
20220804 1
 
< 0.1%
20220707 1
 
< 0.1%
20220621 1
 
< 0.1%
20220617 2
0.1%
20220615 2
0.1%
20220613 4
0.2%
20220531 1
 
< 0.1%
20220530 1
 
< 0.1%
20220524 1
 
< 0.1%
20220520 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2434
Missing (%)100.0%
Memory size21.5 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
4
2403 
1
 
17
3
 
14

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 2403
98.7%
1 17
 
0.7%
3 14
 
0.6%

Length

2024-04-18T02:46:14.066453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:14.135222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 2403
98.7%
1 17
 
0.7%
3 14
 
0.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
취소/말소/만료/정지/중지
2403 
영업/정상
 
17
폐업
 
14

Length

Max length14
Median length14
Mean length13.868118
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 2403
98.7%
영업/정상 17
 
0.7%
폐업 14
 
0.6%

Length

2024-04-18T02:46:14.213525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:14.284204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 2403
98.7%
영업/정상 17
 
0.7%
폐업 14
 
0.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
4
2403 
0
 
17
2
 
14

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 2403
98.7%
0 17
 
0.7%
2 14
 
0.6%

Length

2024-04-18T02:46:14.358698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:14.437702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 2403
98.7%
0 17
 
0.7%
2 14
 
0.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
말소
2403 
정상
 
17
폐업
 
14

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 2403
98.7%
정상 17
 
0.7%
폐업 14
 
0.6%

Length

2024-04-18T02:46:14.530648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:14.598571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 2403
98.7%
정상 17
 
0.7%
폐업 14
 
0.6%

폐업일자
Real number (ℝ)

SKEWED 

Distinct15
Distinct (%)0.6%
Missing19
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean20220474
Minimum20120626
Maximum20220701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:14.670138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120626
5-th percentile20220526
Q120220526
median20220701
Q320220701
95-th percentile20220701
Maximum20220701
Range100075
Interquartile range (IQR)175

Descriptive statistics

Standard deviation2771.8486
Coefficient of variation (CV)0.00013708129
Kurtosis883.60949
Mean20220474
Median Absolute Deviation (MAD)0
Skewness-27.865466
Sum4.8832445 × 1010
Variance7683144.7
MonotonicityNot monotonic
2024-04-18T02:46:14.765929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20220701 1213
49.8%
20220526 1188
48.8%
20220428 2
 
0.1%
20211217 1
 
< 0.1%
20211231 1
 
< 0.1%
20190121 1
 
< 0.1%
20210604 1
 
< 0.1%
20191128 1
 
< 0.1%
20211123 1
 
< 0.1%
20211115 1
 
< 0.1%
Other values (5) 5
 
0.2%
(Missing) 19
 
0.8%
ValueCountFrequency (%)
20120626 1
< 0.1%
20150423 1
< 0.1%
20190121 1
< 0.1%
20191120 1
< 0.1%
20191128 1
< 0.1%
20200131 1
< 0.1%
20210322 1
< 0.1%
20210604 1
< 0.1%
20211115 1
< 0.1%
20211123 1
< 0.1%
ValueCountFrequency (%)
20220701 1213
49.8%
20220526 1188
48.8%
20220428 2
 
0.1%
20211231 1
 
< 0.1%
20211217 1
 
< 0.1%
20211123 1
 
< 0.1%
20211115 1
 
< 0.1%
20210604 1
 
< 0.1%
20210322 1
 
< 0.1%
20200131 1
 
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2434
Missing (%)100.0%
Memory size21.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2434
Missing (%)100.0%
Memory size21.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2434
Missing (%)100.0%
Memory size21.5 KiB

소재지전화
Text

MISSING 

Distinct453
Distinct (%)37.1%
Missing1214
Missing (%)49.9%
Memory size19.1 KiB
2024-04-18T02:46:14.976181image/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%
053-792-0630 6
 
0.5%
053-611-3974 6
 
0.5%
053-965-5979 6
 
0.5%
053-261-0202 6
 
0.5%
070-7757-4445 6
 
0.5%
Other values (443) 1144
93.8%
2024-04-18T02:46:15.295258image/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 size19.1 KiB
0
2223 
<NA>
 
211

Length

Max length4
Median length1
Mean length1.2600657
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 2223
91.3%
<NA> 211
 
8.7%

Length

2024-04-18T02:46:15.405110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:15.475440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2223
91.3%
na 211
 
8.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2434
Missing (%)100.0%
Memory size21.5 KiB

소재지전체주소
Text

MISSING 

Distinct793
Distinct (%)33.3%
Missing56
Missing (%)2.3%
Memory size19.1 KiB
2024-04-18T02:46:15.677750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length22.737174
Min length13

Characters and Unicode

Total characters54069
Distinct characters252
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

Unique268 ?
Unique (%)11.3%

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 2378
22.1%
1647
15.3%
번지 739
 
6.9%
수성구 443
 
4.1%
달서구 440
 
4.1%
동구 364
 
3.4%
북구 334
 
3.1%
달성군 237
 
2.2%
남구 232
 
2.2%
층 211
 
2.0%
Other values (278) 3728
34.7%
2024-04-18T02:46:16.066092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11500
21.3%
10557
19.5%
구 4579
 
8.5%
동 2728
 
5.0%
대 2635
 
4.9%
시 2442
 
4.5%
역 2390
 
4.4%
광 2382
 
4.4%
- 1901
 
3.5%
지 884
 
1.6%
Other values (242) 12071
22.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30025
55.5%
Other Punctuation 11516
 
21.3%
Space Separator 10557
 
19.5%
Dash Punctuation 1901
 
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 4579
15.3%
동 2728
 
9.1%
대 2635
 
8.8%
시 2442
 
8.1%
역 2390
 
8.0%
광 2382
 
7.9%
지 884
 
2.9%
성 882
 
2.9%
번 743
 
2.5%
서 735
 
2.4%
Other values (226) 9625
32.1%
Uppercase Letter
ValueCountFrequency (%)
A 8
18.2%
M 8
18.2%
O 8
18.2%
B 8
18.2%
Z 4
9.1%
D 4
9.1%
H 2
 
4.5%
L 2
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 11500
99.9%
, 16
 
0.1%
Space Separator
ValueCountFrequency (%)
10557
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1901
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 30025
55.5%
Common 23998
44.4%
Latin 46
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4579
15.3%
동 2728
 
9.1%
대 2635
 
8.8%
시 2442
 
8.1%
역 2390
 
8.0%
광 2382
 
7.9%
지 884
 
2.9%
성 882
 
2.9%
번 743
 
2.5%
서 735
 
2.4%
Other values (226) 9625
32.1%
Latin
ValueCountFrequency (%)
A 8
17.4%
M 8
17.4%
O 8
17.4%
B 8
17.4%
Z 4
8.7%
D 4
8.7%
H 2
 
4.3%
L 2
 
4.3%
e 2
 
4.3%
Common
ValueCountFrequency (%)
* 11500
47.9%
10557
44.0%
- 1901
 
7.9%
, 16
 
0.1%
) 10
 
< 0.1%
( 10
 
< 0.1%
+ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30025
55.5%
ASCII 24044
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11500
47.8%
10557
43.9%
- 1901
 
7.9%
, 16
 
0.1%
) 10
 
< 0.1%
( 10
 
< 0.1%
A 8
 
< 0.1%
M 8
 
< 0.1%
O 8
 
< 0.1%
B 8
 
< 0.1%
Other values (6) 18
 
0.1%
Hangul
ValueCountFrequency (%)
구 4579
15.3%
동 2728
 
9.1%
대 2635
 
8.8%
시 2442
 
8.1%
역 2390
 
8.0%
광 2382
 
7.9%
지 884
 
2.9%
성 882
 
2.9%
번 743
 
2.5%
서 735
 
2.4%
Other values (226) 9625
32.1%

도로명전체주소
Text

MISSING 

Distinct732
Distinct (%)30.4%
Missing26
Missing (%)1.1%
Memory size19.1 KiB
2024-04-18T02:46:16.309913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length27.894518
Min length19

Characters and Unicode

Total characters67170
Distinct characters289
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

Unique42 ?
Unique (%)1.7%

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 2408
17.4%
2361
17.1%
층 831
 
6.0%
수성구 469
 
3.4%
달서구 434
 
3.1%
동구 364
 
2.6%
호 355
 
2.6%
북구 352
 
2.5%
달성군 241
 
1.7%
남구 232
 
1.7%
Other values (578) 5786
41.8%
2024-04-18T02:46:16.702439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11429
17.0%
* 10396
15.5%
구 4913
 
7.3%
대 3182
 
4.7%
동 3080
 
4.6%
시 2498
 
3.7%
역 2438
 
3.6%
광 2420
 
3.6%
로 2372
 
3.5%
) 2211
 
3.3%
Other values (279) 22231
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38969
58.0%
Other Punctuation 11762
 
17.5%
Space Separator 11429
 
17.0%
Close Punctuation 2211
 
3.3%
Open Punctuation 2211
 
3.3%
Dash Punctuation 520
 
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 4913
 
12.6%
대 3182
 
8.2%
동 3080
 
7.9%
시 2498
 
6.4%
역 2438
 
6.3%
광 2420
 
6.2%
로 2372
 
6.1%
성 1027
 
2.6%
길 968
 
2.5%
달 922
 
2.4%
Other values (263) 15149
38.9%
Uppercase Letter
ValueCountFrequency (%)
A 18
29.0%
B 12
19.4%
M 8
12.9%
O 8
12.9%
L 4
 
6.5%
H 4
 
6.5%
Z 4
 
6.5%
D 4
 
6.5%
Other Punctuation
ValueCountFrequency (%)
* 10396
88.4%
, 1366
 
11.6%
Space Separator
ValueCountFrequency (%)
11429
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 520
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38969
58.0%
Common 28137
41.9%
Latin 64
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4913
 
12.6%
대 3182
 
8.2%
동 3080
 
7.9%
시 2498
 
6.4%
역 2438
 
6.3%
광 2420
 
6.2%
로 2372
 
6.1%
성 1027
 
2.6%
길 968
 
2.5%
달 922
 
2.4%
Other values (263) 15149
38.9%
Latin
ValueCountFrequency (%)
A 18
28.1%
B 12
18.8%
M 8
12.5%
O 8
12.5%
L 4
 
6.2%
H 4
 
6.2%
Z 4
 
6.2%
D 4
 
6.2%
e 2
 
3.1%
Common
ValueCountFrequency (%)
11429
40.6%
* 10396
36.9%
) 2211
 
7.9%
( 2211
 
7.9%
, 1366
 
4.9%
- 520
 
1.8%
+ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38969
58.0%
ASCII 28201
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11429
40.5%
* 10396
36.9%
) 2211
 
7.8%
( 2211
 
7.8%
, 1366
 
4.8%
- 520
 
1.8%
A 18
 
0.1%
B 12
 
< 0.1%
M 8
 
< 0.1%
O 8
 
< 0.1%
Other values (6) 22
 
0.1%
Hangul
ValueCountFrequency (%)
구 4913
 
12.6%
대 3182
 
8.2%
동 3080
 
7.9%
시 2498
 
6.4%
역 2438
 
6.3%
광 2420
 
6.2%
로 2372
 
6.1%
성 1027
 
2.6%
길 968
 
2.5%
달 922
 
2.4%
Other values (263) 15149
38.9%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct468
Distinct (%)20.9%
Missing190
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean42677.467
Minimum41001
Maximum702716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:16.814140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41077
Q141519
median42167.5
Q342642.75
95-th percentile42952.85
Maximum702716
Range661715
Interquartile range (IQR)1123.75

Descriptive statistics

Standard deviation19727.409
Coefficient of variation (CV)0.46224413
Kurtosis1117.3608
Mean42677.467
Median Absolute Deviation (MAD)521.5
Skewness33.425983
Sum95768236
Variance3.8917065 × 108
MonotonicityNot monotonic
2024-04-18T02:46:16.915493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41942 28
 
1.2%
43017 26
 
1.1%
41943 26
 
1.1%
42175 24
 
1.0%
43018 22
 
0.9%
41465 20
 
0.8%
42428 19
 
0.8%
41416 18
 
0.7%
41422 17
 
0.7%
41026 16
 
0.7%
Other values (458) 2028
83.3%
(Missing) 190
 
7.8%
ValueCountFrequency (%)
41001 10
0.4%
41003 2
 
0.1%
41005 2
 
0.1%
41015 6
 
0.2%
41020 2
 
0.1%
41026 16
0.7%
41030 2
 
0.1%
41037 2
 
0.1%
41047 2
 
0.1%
41050 8
0.3%
ValueCountFrequency (%)
702716 2
 
0.1%
43018 22
0.9%
43017 26
1.1%
43016 2
 
0.1%
43015 2
 
0.1%
43014 2
 
0.1%
43013 2
 
0.1%
43008 4
 
0.2%
43007 2
 
0.1%
43006 1
 
< 0.1%

사업장명
Text

Distinct799
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
2024-04-18T02:46:17.118455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length5.9687757
Min length1

Characters and Unicode

Total characters14528
Distinct characters535
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

Unique34 ?
Unique (%)1.4%

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%
도그 18
 
0.6%
펫살롱 18
 
0.6%
고양이 16
 
0.5%
Other values (898) 2964
91.5%
2024-04-18T02:46:17.467103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
805
 
5.5%
이 462
 
3.2%
애 323
 
2.2%
견 317
 
2.2%
아 315
 
2.2%
동 308
 
2.1%
펫 304
 
2.1%
원 302
 
2.1%
개 271
 
1.9%
물 268
 
1.8%
Other values (525) 10853
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12095
83.3%
Space Separator 805
 
5.5%
Lowercase Letter 711
 
4.9%
Uppercase Letter 509
 
3.5%
Open Punctuation 135
 
0.9%
Close 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 462
 
3.8%
애 323
 
2.7%
견 317
 
2.6%
아 315
 
2.6%
동 308
 
2.5%
펫 304
 
2.5%
원 302
 
2.5%
개 271
 
2.2%
물 268
 
2.2%
병 252
 
2.1%
Other values (460) 8973
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%
A 32
 
6.3%
L 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%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12083
83.2%
Latin 1220
 
8.4%
Common 1213
 
8.3%
Han 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 462
 
3.8%
애 323
 
2.7%
견 317
 
2.6%
아 315
 
2.6%
동 308
 
2.5%
펫 304
 
2.5%
원 302
 
2.5%
개 271
 
2.2%
물 268
 
2.2%
병 252
 
2.1%
Other values (458) 8961
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%
' 16
 
1.3%
1 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 12079
83.1%
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 462
 
3.8%
애 323
 
2.7%
견 317
 
2.6%
아 315
 
2.6%
동 308
 
2.5%
펫 304
 
2.5%
원 302
 
2.5%
개 271
 
2.2%
물 268
 
2.2%
병 252
 
2.1%
Other values (457) 8957
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
Real number (ℝ)

Distinct1290
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0205577 × 1013
Minimum2.0100607 × 1013
Maximum2.0220831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:17.611093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100607 × 1013
5-th percentile2.0180117 × 1013
Q12.0190801 × 1013
median2.0220428 × 1013
Q32.0220428 × 1013
95-th percentile2.0220428 × 1013
Maximum2.0220831 × 1013
Range1.2022397 × 1011
Interquartile range (IQR)2.962701 × 1010

Descriptive statistics

Standard deviation2.1839276 × 1010
Coefficient of variation (CV)0.0010808539
Kurtosis4.9670444
Mean2.0205577 × 1013
Median Absolute Deviation (MAD)1.0301586 × 108
Skewness-1.9833827
Sum4.9180375 × 1016
Variance4.7695399 × 1020
MonotonicityNot monotonic
2024-04-18T02:46:17.723139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220428181017 131
 
5.4%
20220428181016 103
 
4.2%
20220428181018 87
 
3.6%
20220428181021 82
 
3.4%
20220428181024 79
 
3.2%
20220428181022 70
 
2.9%
20220428181019 69
 
2.8%
20220428181020 64
 
2.6%
20220428181015 64
 
2.6%
20220428181023 55
 
2.3%
Other values (1280) 1630
67.0%
ValueCountFrequency (%)
20100607140108 1
< 0.1%
20100621171738 1
< 0.1%
20100622133000 1
< 0.1%
20100705114917 1
< 0.1%
20100713183438 1
< 0.1%
20100713184329 1
< 0.1%
20100714133343 1
< 0.1%
20100714133511 1
< 0.1%
20100715112743 1
< 0.1%
20101101115540 1
< 0.1%
ValueCountFrequency (%)
20220831110127 1
< 0.1%
20220831110009 1
< 0.1%
20220829175333 1
< 0.1%
20220829155557 1
< 0.1%
20220829112025 1
< 0.1%
20220829111922 1
< 0.1%
20220829111828 1
< 0.1%
20220829111659 1
< 0.1%
20220829093715 1
< 0.1%
20220829093451 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
I
1910 
U
524 

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 1910
78.5%
U 524
 
21.5%

Length

2024-04-18T02:46:17.821011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:17.888405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1910
78.5%
u 524
 
21.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
2022-07-02 17:34:43.0
1213 
2022-05-27 00:00:00.0
1209 
2022-08-31 02:40:00.0
 
8
2022-09-02 02:40:00.0
 
2
2022-08-06 00:22:29.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row2022-07-02 17:34:43.0
2nd row2022-07-02 17:34:43.0
3rd row2022-07-02 17:34:43.0
4th row2022-07-02 17:34:43.0
5th row2022-07-02 17:34:43.0

Common Values

ValueCountFrequency (%)
2022-07-02 17:34:43.0 1213
49.8%
2022-05-27 00:00:00.0 1209
49.7%
2022-08-31 02:40:00.0 8
 
0.3%
2022-09-02 02:40:00.0 2
 
0.1%
2022-08-06 00:22:29.0 1
 
< 0.1%
2022-07-16 02:40:00.0 1
 
< 0.1%

Length

2024-04-18T02:46:17.961942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:18.036494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07-02 1213
24.9%
17:34:43.0 1213
24.9%
2022-05-27 1209
24.8%
00:00:00.0 1209
24.8%
02:40:00.0 11
 
0.2%
2022-08-31 8
 
0.2%
2022-09-02 2
 
< 0.1%
2022-08-06 1
 
< 0.1%
00:22:29.0 1
 
< 0.1%
2022-07-16 1
 
< 0.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2434
Missing (%)100.0%
Memory size21.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct722
Distinct (%)30.5%
Missing66
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean343367.57
Minimum327001.98
Maximum357940.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:18.128509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327001.98
5-th percentile332313.08
Q1339660.35
median343652.83
Q3346491.24
95-th percentile354624.09
Maximum357940.07
Range30938.091
Interquartile range (IQR)6830.8973

Descriptive statistics

Standard deviation6104.2069
Coefficient of variation (CV)0.017777471
Kurtosis-0.10622253
Mean343367.57
Median Absolute Deviation (MAD)3713.8794
Skewness0.20656283
Sum8.1309441 × 108
Variance37261342
MonotonicityNot monotonic
2024-04-18T02:46:18.226649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344187.921989 18
 
0.7%
344127.944529 14
 
0.6%
338701.951391 10
 
0.4%
341513.248392 10
 
0.4%
340320.72271 10
 
0.4%
338090.764413 10
 
0.4%
332313.080571 10
 
0.4%
356519.71742 10
 
0.4%
348843.126875 10
 
0.4%
354265.414817 10
 
0.4%
Other values (712) 2256
92.7%
(Missing) 66
 
2.7%
ValueCountFrequency (%)
327001.977227 2
 
0.1%
328657.072416 4
0.2%
329055.786164 1
 
< 0.1%
329914.0 2
 
0.1%
330026.0 2
 
0.1%
330075.0 2
 
0.1%
330243.438112 2
 
0.1%
330313.954714 2
 
0.1%
330379.598982 6
0.2%
330452.455558 2
 
0.1%
ValueCountFrequency (%)
357940.068109 6
0.2%
357925.220488 6
0.2%
357888.724162 4
 
0.2%
357854.456686 6
0.2%
356565.367584 6
0.2%
356519.71742 10
0.4%
356370.489825 4
 
0.2%
356352.62487 6
0.2%
356335.999166 2
 
0.1%
356285.016609 4
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct721
Distinct (%)30.4%
Missing66
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263009.63
Minimum239131.33
Maximum276801.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-18T02:46:18.325806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239131.33
5-th percentile256992.97
Q1261017.68
median263054.29
Q3265088.78
95-th percentile271899.47
Maximum276801.3
Range37669.963
Interquartile range (IQR)4071.1055

Descriptive statistics

Standard deviation5070.5285
Coefficient of variation (CV)0.01927887
Kurtosis4.2723196
Mean263009.63
Median Absolute Deviation (MAD)2035.7993
Skewness-1.0648167
Sum6.2280681 × 108
Variance25710259
MonotonicityNot monotonic
2024-04-18T02:46:18.428806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263949.092336 18
 
0.7%
263895.481558 14
 
0.6%
259430.140944 10
 
0.4%
272735.67566 10
 
0.4%
276801.296257 10
 
0.4%
264832.113171 10
 
0.4%
263138.416618 10
 
0.4%
263637.272233 10
 
0.4%
264186.914723 10
 
0.4%
262859.379579 10
 
0.4%
Other values (711) 2256
92.7%
(Missing) 66
 
2.7%
ValueCountFrequency (%)
239131.333744 1
 
< 0.1%
239273.379643 1
 
< 0.1%
240575.186404 4
0.2%
241707.739077 1
 
< 0.1%
244256.0 6
0.2%
244421.0 6
0.2%
244467.090015 3
0.1%
244475.0 5
0.2%
244525.0 2
 
0.1%
244542.0 4
0.2%
ValueCountFrequency (%)
276801.296257 10
0.4%
275537.799586 1
 
< 0.1%
274260.233601 6
0.2%
273521.170988 2
 
0.1%
273518.735117 2
 
0.1%
273287.182301 2
 
0.1%
273224.0 2
 
0.1%
273213.835123 2
 
0.1%
273190.513455 8
0.3%
273108.034715 8
0.3%

업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
동물관련영업
2433 
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9991783
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동물관련영업 2433
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-18T02:46:18.535943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:18.610740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물관련영업 2433
> 99.9%
na 1
 
< 0.1%

상세업무구분명
Categorical

Distinct17
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
동물미용업(일반)
501 
미용(일반)
490 
동물판매업(일반)
354 
판매(일반)
348 
동물위탁관리업
293 
Other values (12)
448 

Length

Max length12
Median length9
Mean length7.2982744
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
20.6%
미용(일반) 490
20.1%
동물판매업(일반) 354
14.5%
판매(일반) 348
14.3%
동물위탁관리업 293
12.0%
위탁관리 285
11.7%
동물운송업 33
 
1.4%
동물생산업 30
 
1.2%
운송 29
 
1.2%
동물전시업 26
 
1.1%
Other values (7) 45
 
1.8%

Length

2024-04-18T02:46:18.687986image/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 348
14.3%
동물위탁관리업 293
12.0%
위탁관리 291
11.9%
동물운송업 33
 
1.4%
동물생산업 30
 
1.2%
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 size19.1 KiB
000
2377 
L00
 
56
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0004108
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
000 2377
97.7%
L00 56
 
2.3%
<NA> 1
 
< 0.1%

Length

2024-04-18T02:46:18.781904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:18.853677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 2377
97.7%
l00 56
 
2.3%
na 1
 
< 0.1%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
0
2433 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0012325
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 2433
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-18T02:46:18.938484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:19.007535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2433
> 99.9%
na 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물생산업02_03_06_P341000034100000452015000120150409<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41943리틀도그20220428181018I2022-07-02 17:34:43.0<NA>344171.965677263948.469707동물관련영업동물판매업(일반)0000
12동물생산업02_03_06_P341000034100000452015000220150827<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>053-252-91330<NA>대구광역시 중구 태평로*가 ***-*대구광역시 중구 태평로 ** (태평로*가)41901기역(ㄱ)유통20220428181018I2022-07-02 17:34:43.0<NA>342786.800151265328.760501동물관련영업동물판매업(일반)0000
23동물생산업02_03_06_P341000034100000452015000320151222<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-*대구광역시 중구 달구벌대로 **** (봉산동)41943개키우는남자20220428181018I2022-07-02 17:34:43.0<NA>344187.921989263949.092336동물관련영업동물판매업(일반)0000
34동물생산업02_03_06_P341000034100000452016000120161011<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>422-02500<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41959도그라이프 2호점20220428181018I2022-07-02 17:34:43.0<NA>344127.944529263895.481558동물관련영업동물판매업(일반)0000
45동물생산업02_03_06_P341000034100000452016000220161103<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>255-22180<NA>대구광역시 중구 삼덕동*가 **-*대구광역시 중구 동성로*길 * (삼덕동*가)41942힐링독20220428181018I2022-07-02 17:34:43.0<NA>344207.708442264019.071743동물관련영업동물판매업(일반)0000
56동물생산업02_03_06_P341000034100000452016000320161118<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41959명품도그20220428181018I2022-07-02 17:34:43.0<NA>344127.944529263895.481558동물관련영업동물판매업(일반)0000
67동물생산업02_03_06_P341000034100000452017000120170123<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>431-45000<NA>대구광역시 중구 삼덕동*가 **-**대구광역시 중구 달구벌대로 **** (삼덕동*가)41942더마리20220428181018I2022-07-02 17:34:43.0<NA>344361.531734263860.825614동물관련영업동물판매업(일반)0000
78동물생산업02_03_06_P341000034100000452017000220170718<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 **** (봉산동)41943디캣20220428181018I2022-07-02 17:34:43.0<NA>344152.30215263951.596614동물관련영업동물판매업(일반)0000
89동물생산업02_03_06_P341000034100000452017000320171016<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>대구광역시 중구 봉산동 ***-**대구광역시 중구 달구벌대로 ****-* (봉산동)41959삼덕애견20220428181019I2022-07-02 17:34:43.0<NA>344127.944529263895.481558동물관련영업동물판매업(일반)0000
910동물생산업02_03_06_P341000034100000452017000420171221<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>255-22380<NA>대구광역시 중구 대봉동 ***-** 청구의원대구광역시 중구 명덕로 ***, 청구의원 (대봉동)41953아이러브독강아지20220428181019I2022-07-02 17:34:43.0<NA>344851.684695262879.049409동물관련영업동물판매업(일반)0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
24242425동물생산업02_03_06_P348000034800000372018003120180530<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-615-58130<NA>대구광역시 달성군 유가읍 봉리 ***번지 테크노폴리스 M스퀘어+ ***호대구광역시 달성군 유가읍 테크노상업로 ***, 테크노폴리스 M스퀘어+43018무모하개20180530104738I2022-05-27 00:00:00.0<NA>332317.0244698.0동물관련영업미용(일반)0000
24252426동물생산업02_03_06_P348000034800000372018003220180608<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>대구광역시 달성군 현풍면 원교리 **번지대구광역시 달성군 현풍면 비슬로 ***-*43003포산동물병원20180608090311I2022-05-27 00:00:00.0<NA>330313.954714244606.289818동물관련영업미용(일반)0000
24262427동물생산업02_03_06_P348000034800000372018003320180709<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-616-24800<NA>대구광역시 달성군 유가읍 봉리 ***번지 테크노폴리스 M스퀘어+대구광역시 달성군 유가읍 테크노상업로 ***, 테크노폴리스 M스퀘어+43018비슬동물병원20180709093629I2022-05-27 00:00:00.0<NA>332317.0244698.0동물관련영업미용(일반)0000
24272428동물생산업02_03_06_P348000034800000372019000820190603<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-585-11950<NA>대구광역시 달성군 다사읍 매곡리 ****-*번지 ***동물병원대구광역시 달성군 다사읍 달구벌대로 ***, ***동물병원42913119동물병원20190603173636I2022-05-27 00:00:00.0<NA>332431.324532262897.94004동물관련영업판매(일반)0000
24282429동물생산업02_03_06_P348000034800000372019000920190603<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-585-11950<NA>대구광역시 달성군 다사읍 매곡리 ****-*번지 ***동물병원대구광역시 달성군 다사읍 달구벌대로 ***, ***동물병원42913119동물병원20190603173833I2022-05-27 00:00:00.0<NA>332431.324532262897.94004동물관련영업미용(일반)0000
24292430동물생산업02_03_06_P348000034800000372019000720190402<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-581-22340<NA>대구광역시 달성군 다사읍 매곡리 ****-**번지대구광역시 달성군 다사읍 달구벌대로 ***42914럭셔리독20190402171349I2022-05-27 00:00:00.0<NA>332296.485893263030.522627동물관련영업미용(일반)0000
24302431동물생산업02_03_06_P348000034800000372019001020190801<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-285-79790<NA>대구광역시 달성군 현풍읍 중리 ***번지대구광역시 달성군 현풍읍 테크노상업로 **, ***호43017샤방샤방20190801171309I2022-05-27 00:00:00.0<NA>331487.0244421.0동물관련영업판매(일반)0000
24312432동물생산업02_03_06_P348000034800000372019001120190801<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-285-79790<NA>대구광역시 달성군 현풍읍 중리 ***번지대구광역시 달성군 현풍읍 테크노상업로 **, ***호43017샤방샤방20190801171805I2022-05-27 00:00:00.0<NA>331487.0244421.0동물관련영업위탁관리0000
24322433동물생산업02_03_06_P348000034800000372019001220190801<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>053-285-79790<NA>대구광역시 달성군 현풍읍 중리 ***번지대구광역시 달성군 현풍읍 테크노상업로 **, ***호43017샤방샤방20190801172101I2022-05-27 00:00:00.0<NA>331487.0244421.0동물관련영업미용(일반)0000
24332434동물생산업02_03_06_P348000034800000372019001420190905<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>대구광역시 달성군 논공읍 북리 ***-***대구광역시 달성군 논공읍 논공로 ***-*42979빵댕이 애견카페20220329101916U2022-05-27 00:00:00.0<NA>330763.232499248723.227157동물관련영업위탁관리0000