Overview

Dataset statistics

Number of variables32
Number of observations370
Missing cells3203
Missing cells (%)27.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.9 KiB
Average record size in memory276.4 B

Variable types

Numeric10
Categorical10
Unsupported7
Text4
DateTime1

Dataset

Description6270000_대구광역시_02_03_01_P_동물병원_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091867&dataSetDetailId=DDI_0000091905&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
권리주체일련번호 is highly imbalanced (89.8%)Imbalance
인허가취소일자 has 370 (100.0%) missing valuesMissing
폐업일자 has 199 (53.8%) missing valuesMissing
휴업시작일자 has 370 (100.0%) missing valuesMissing
휴업종료일자 has 370 (100.0%) missing valuesMissing
재개업일자 has 370 (100.0%) missing valuesMissing
소재지전화 has 50 (13.5%) missing valuesMissing
소재지면적 has 18 (4.9%) missing valuesMissing
소재지우편번호 has 370 (100.0%) missing valuesMissing
소재지전체주소 has 6 (1.6%) missing valuesMissing
도로명전체주소 has 58 (15.7%) missing valuesMissing
도로명우편번호 has 160 (43.2%) missing valuesMissing
업태구분명 has 370 (100.0%) missing valuesMissing
좌표정보(X) has 61 (16.5%) missing valuesMissing
좌표정보(Y) has 61 (16.5%) missing valuesMissing
상세업무구분명 has 370 (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 165 (44.6%) zerosZeros

Reproduction

Analysis started2023-12-10 20:04:10.326429
Analysis finished2023-12-10 20:04:11.411856
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.5
Minimum1
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:11.552274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.45
Q193.25
median185.5
Q3277.75
95-th percentile351.55
Maximum370
Range369
Interquartile range (IQR)184.5

Descriptive statistics

Standard deviation106.95404
Coefficient of variation (CV)0.57657164
Kurtosis-1.2
Mean185.5
Median Absolute Deviation (MAD)92.5
Skewness0
Sum68635
Variance11439.167
MonotonicityStrictly increasing
2023-12-11T05:04:11.849959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
245 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
동물병원
370 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 370
100.0%

Length

2023-12-11T05:04:12.178628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:12.389916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 370
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
02_03_01_P
370 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_01_P
2nd row02_03_01_P
3rd row02_03_01_P
4th row02_03_01_P
5th row02_03_01_P

Common Values

ValueCountFrequency (%)
02_03_01_P 370
100.0%

Length

2023-12-11T05:04:12.579146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:12.743310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_01_p 370
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3452000
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:12.856619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20170.009
Coefficient of variation (CV)0.0058429922
Kurtosis-0.66606725
Mean3452000
Median Absolute Deviation (MAD)10000
Skewness-0.69587979
Sum1.27724 × 109
Variance4.0682927 × 108
MonotonicityIncreasing
2023-12-11T05:04:13.020285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 101
27.3%
3470000 85
23.0%
3450000 49
13.2%
3420000 47
12.7%
3480000 27
 
7.3%
3440000 25
 
6.8%
3410000 20
 
5.4%
3430000 16
 
4.3%
ValueCountFrequency (%)
3410000 20
 
5.4%
3420000 47
12.7%
3430000 16
 
4.3%
3440000 25
 
6.8%
3450000 49
13.2%
3460000 101
27.3%
3470000 85
23.0%
3480000 27
 
7.3%
ValueCountFrequency (%)
3480000 27
 
7.3%
3470000 85
23.0%
3460000 101
27.3%
3450000 49
13.2%
3440000 25
 
6.8%
3430000 16
 
4.3%
3420000 47
12.7%
3410000 20
 
5.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.452 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:13.208356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.41 × 1017
Q13.44 × 1017
median3.46 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.0170009 × 1015
Coefficient of variation (CV)0.0058429922
Kurtosis-0.66606725
Mean3.452 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.69587979
Sum-1.4032081 × 1018
Variance4.0682927 × 1030
MonotonicityNot monotonic
2023-12-11T05:04:13.427300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001019900001 1
 
0.3%
346000001020010007 1
 
0.3%
346000001020040008 1
 
0.3%
346000001020040007 1
 
0.3%
346000001020040006 1
 
0.3%
346000001020040005 1
 
0.3%
346000001020040003 1
 
0.3%
346000001020040002 1
 
0.3%
346000001020040001 1
 
0.3%
346000001020030004 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
341000001019900001 1
0.3%
341000001019910001 1
0.3%
341000001019980002 1
0.3%
341000001019980003 1
0.3%
341000001020020002 1
0.3%
341000001020030001 1
0.3%
341000001020030002 1
0.3%
341000001020030003 1
0.3%
341000001020040001 1
0.3%
341000001020050001 1
0.3%
ValueCountFrequency (%)
348000001020210001 1
0.3%
348000001020190001 1
0.3%
348000001020180003 1
0.3%
348000001020180002 1
0.3%
348000001020180001 1
0.3%
348000001020170004 1
0.3%
348000001020170003 1
0.3%
348000001020170002 1
0.3%
348000001020170001 1
0.3%
348000001020160002 1
0.3%

인허가일자
Real number (ℝ)

Distinct338
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20064929
Minimum19720301
Maximum20211103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:13.624504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720301
5-th percentile19914962
Q120020550
median20050956
Q320140512
95-th percentile20200515
Maximum20211103
Range490802
Interquartile range (IQR)119963

Descriptive statistics

Standard deviation91379.389
Coefficient of variation (CV)0.0045541846
Kurtosis0.72693345
Mean20064929
Median Absolute Deviation (MAD)59890
Skewness-0.65897899
Sum7.4240237 × 109
Variance8.3501928 × 109
MonotonicityNot monotonic
2023-12-11T05:04:13.851031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19810824 10
 
2.7%
20030115 8
 
2.2%
20010222 3
 
0.8%
19900521 2
 
0.5%
20060628 2
 
0.5%
20050908 2
 
0.5%
20010213 2
 
0.5%
20040527 2
 
0.5%
20120427 2
 
0.5%
20040923 2
 
0.5%
Other values (328) 335
90.5%
ValueCountFrequency (%)
19720301 1
 
0.3%
19810824 10
2.7%
19810828 2
 
0.5%
19840316 1
 
0.3%
19900521 2
 
0.5%
19900803 1
 
0.3%
19910424 1
 
0.3%
19910503 1
 
0.3%
19920413 1
 
0.3%
19920527 1
 
0.3%
ValueCountFrequency (%)
20211103 1
0.3%
20211022 1
0.3%
20210830 1
0.3%
20210701 1
0.3%
20210622 1
0.3%
20210602 1
0.3%
20210512 1
0.3%
20210430 1
0.3%
20210427 1
0.3%
20210326 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1
193 
3
173 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 193
52.2%
3 173
46.8%
4 3
 
0.8%
2 1
 
0.3%

Length

2023-12-11T05:04:14.071993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:14.248710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 193
52.2%
3 173
46.8%
4 3
 
0.8%
2 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
영업/정상
193 
폐업
173 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length3.6621622
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 193
52.2%
폐업 173
46.8%
취소/말소/만료/정지/중지 3
 
0.8%
휴업 1
 
0.3%

Length

2023-12-11T05:04:14.448023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:14.633341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 193
52.2%
폐업 173
46.8%
취소/말소/만료/정지/중지 3
 
0.8%
휴업 1
 
0.3%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
193 
2
173 
4
 
3
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 193
52.2%
2 173
46.8%
4 3
 
0.8%
1 1
 
0.3%

Length

2023-12-11T05:04:14.814319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:14.999290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 193
52.2%
2 173
46.8%
4 3
 
0.8%
1 1
 
0.3%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
정상
193 
폐업
173 
말소
 
3
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
정상 193
52.2%
폐업 173
46.8%
말소 3
 
0.8%
휴업 1
 
0.3%

Length

2023-12-11T05:04:15.176282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:15.335858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 193
52.2%
폐업 173
46.8%
말소 3
 
0.8%
휴업 1
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct165
Distinct (%)96.5%
Missing199
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean20102267
Minimum19930810
Maximum20210630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:15.606921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930810
5-th percentile20040309
Q120055676
median20090227
Q320150464
95-th percentile20191214
Maximum20210630
Range279820
Interquartile range (IQR)94788.5

Descriptive statistics

Standard deviation56294.049
Coefficient of variation (CV)0.0028003831
Kurtosis-0.82943612
Mean20102267
Median Absolute Deviation (MAD)40387
Skewness0.2640321
Sum3.4374877 × 109
Variance3.1690199 × 109
MonotonicityNot monotonic
2023-12-11T05:04:15.824664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040923 3
 
0.8%
20060303 2
 
0.5%
20050330 2
 
0.5%
20070622 2
 
0.5%
20111101 2
 
0.5%
20060818 1
 
0.3%
20180221 1
 
0.3%
20050930 1
 
0.3%
20190516 1
 
0.3%
20191211 1
 
0.3%
Other values (155) 155
41.9%
(Missing) 199
53.8%
ValueCountFrequency (%)
19930810 1
0.3%
20000609 1
0.3%
20030715 1
0.3%
20030819 1
0.3%
20031017 1
0.3%
20031021 1
0.3%
20031206 1
0.3%
20040105 1
0.3%
20040302 1
0.3%
20040316 1
0.3%
ValueCountFrequency (%)
20210630 1
0.3%
20210325 1
0.3%
20210127 1
0.3%
20200715 1
0.3%
20200703 1
0.3%
20200504 1
0.3%
20200212 1
0.3%
20200109 1
0.3%
20191216 1
0.3%
20191211 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB

소재지전화
Text

MISSING 

Distinct284
Distinct (%)88.8%
Missing50
Missing (%)13.5%
Memory size3.0 KiB
2023-12-11T05:04:16.326832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.721875
Min length7

Characters and Unicode

Total characters3111
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)80.3%

Sample

1st row424-4258
2nd row252-1192
3rd row256-6100
4th row253-8278
5th row426-1731
ValueCountFrequency (%)
984-1273 5
 
1.6%
653-4512 4
 
1.2%
792-7788 3
 
0.9%
767-1177 3
 
0.9%
792-5544 3
 
0.9%
053-636-1118 3
 
0.9%
053-563-7585 2
 
0.6%
763-8855 2
 
0.6%
942-0805 2
 
0.6%
053-637-0975 2
 
0.6%
Other values (274) 291
90.9%
2023-12-11T05:04:17.115733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 532
17.1%
- 430
13.8%
3 344
11.1%
7 343
11.0%
0 271
8.7%
2 223
7.2%
6 208
 
6.7%
8 206
 
6.6%
1 206
 
6.6%
9 173
 
5.6%
Other values (2) 175
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2677
86.0%
Dash Punctuation 430
 
13.8%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 532
19.9%
3 344
12.9%
7 343
12.8%
0 271
10.1%
2 223
8.3%
6 208
 
7.8%
8 206
 
7.7%
1 206
 
7.7%
9 173
 
6.5%
4 171
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3111
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 532
17.1%
- 430
13.8%
3 344
11.1%
7 343
11.0%
0 271
8.7%
2 223
7.2%
6 208
 
6.7%
8 206
 
6.6%
1 206
 
6.6%
9 173
 
5.6%
Other values (2) 175
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 532
17.1%
- 430
13.8%
3 344
11.1%
7 343
11.0%
0 271
8.7%
2 223
7.2%
6 208
 
6.7%
8 206
 
6.6%
1 206
 
6.6%
9 173
 
5.6%
Other values (2) 175
 
5.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct183
Distinct (%)52.0%
Missing18
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean173.47085
Minimum0
Maximum13056.28
Zeros165
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:17.417331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34.5
Q3116.685
95-th percentile673.026
Maximum13056.28
Range13056.28
Interquartile range (IQR)116.685

Descriptive statistics

Standard deviation778.82626
Coefficient of variation (CV)4.4896664
Kurtosis216.9891
Mean173.47085
Median Absolute Deviation (MAD)34.5
Skewness13.635972
Sum61061.74
Variance606570.34
MonotonicityNot monotonic
2023-12-11T05:04:17.656852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 165
44.6%
148.59 2
 
0.5%
1949.48 2
 
0.5%
203.78 2
 
0.5%
111.0 2
 
0.5%
44.0 2
 
0.5%
56.0 1
 
0.3%
110.0 1
 
0.3%
1150.51 1
 
0.3%
99.33 1
 
0.3%
Other values (173) 173
46.8%
(Missing) 18
 
4.9%
ValueCountFrequency (%)
0.0 165
44.6%
18.45 1
 
0.3%
19.5 1
 
0.3%
23.75 1
 
0.3%
26.6 1
 
0.3%
26.88 1
 
0.3%
28.8 1
 
0.3%
30.0 1
 
0.3%
31.5 1
 
0.3%
31.98 1
 
0.3%
ValueCountFrequency (%)
13056.28 1
0.3%
4398.84 1
0.3%
2679.0 1
0.3%
1949.48 2
0.5%
1514.61 1
0.3%
1295.6 1
0.3%
1156.0 1
0.3%
1150.51 1
0.3%
906.91 1
0.3%
889.13 1
0.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB

소재지전체주소
Text

MISSING 

Distinct334
Distinct (%)91.8%
Missing6
Missing (%)1.6%
Memory size3.0 KiB
2023-12-11T05:04:18.035760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length23.884615
Min length14

Characters and Unicode

Total characters8694
Distinct characters195
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)84.9%

Sample

1st row대구광역시 중구 동인동4가 332
2nd row대구광역시 중구 대봉동 758번지
3rd row대구광역시 중구 남산동 661-1번지
4th row대구광역시 중구 봉산동 53-2번지
5th row대구광역시 중구 삼덕동1가 41-8번지
ValueCountFrequency (%)
대구광역시 364
21.8%
수성구 95
 
5.7%
달서구 85
 
5.1%
번지 54
 
3.2%
북구 49
 
2.9%
동구 47
 
2.8%
달성군 27
 
1.6%
남구 25
 
1.5%
중구 20
 
1.2%
만촌동 17
 
1.0%
Other values (527) 884
53.0%
2023-12-11T05:04:18.672372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1724
19.8%
709
 
8.2%
1 437
 
5.0%
406
 
4.7%
405
 
4.7%
370
 
4.3%
365
 
4.2%
364
 
4.2%
305
 
3.5%
- 298
 
3.4%
Other values (185) 3311
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4884
56.2%
Decimal Number 1774
 
20.4%
Space Separator 1724
 
19.8%
Dash Punctuation 298
 
3.4%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
709
14.5%
406
 
8.3%
405
 
8.3%
370
 
7.6%
365
 
7.5%
364
 
7.5%
305
 
6.2%
279
 
5.7%
158
 
3.2%
114
 
2.3%
Other values (165) 1409
28.8%
Decimal Number
ValueCountFrequency (%)
1 437
24.6%
2 247
13.9%
5 168
 
9.5%
4 160
 
9.0%
3 155
 
8.7%
0 142
 
8.0%
6 131
 
7.4%
9 124
 
7.0%
8 108
 
6.1%
7 102
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
M 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
1724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4884
56.2%
Common 3805
43.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
709
14.5%
406
 
8.3%
405
 
8.3%
370
 
7.6%
365
 
7.5%
364
 
7.5%
305
 
6.2%
279
 
5.7%
158
 
3.2%
114
 
2.3%
Other values (165) 1409
28.8%
Common
ValueCountFrequency (%)
1724
45.3%
1 437
 
11.5%
- 298
 
7.8%
2 247
 
6.5%
5 168
 
4.4%
4 160
 
4.2%
3 155
 
4.1%
0 142
 
3.7%
6 131
 
3.4%
9 124
 
3.3%
Other values (6) 219
 
5.8%
Latin
ValueCountFrequency (%)
A 2
40.0%
k 1
20.0%
M 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4884
56.2%
ASCII 3810
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1724
45.2%
1 437
 
11.5%
- 298
 
7.8%
2 247
 
6.5%
5 168
 
4.4%
4 160
 
4.2%
3 155
 
4.1%
0 142
 
3.7%
6 131
 
3.4%
9 124
 
3.3%
Other values (10) 224
 
5.9%
Hangul
ValueCountFrequency (%)
709
14.5%
406
 
8.3%
405
 
8.3%
370
 
7.6%
365
 
7.5%
364
 
7.5%
305
 
6.2%
279
 
5.7%
158
 
3.2%
114
 
2.3%
Other values (165) 1409
28.8%

도로명전체주소
Text

MISSING 

Distinct286
Distinct (%)91.7%
Missing58
Missing (%)15.7%
Memory size3.0 KiB
2023-12-11T05:04:19.136944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length52
Mean length26.871795
Min length19

Characters and Unicode

Total characters8384
Distinct characters223
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)84.0%

Sample

1st row대구광역시 중구 국채보상로 724 (동인동4가)
2nd row대구광역시 중구 동덕로 55 (대봉동, 대봉태왕아너스)
3rd row대구광역시 중구 중앙대로 333 (남산동)
4th row대구광역시 중구 달구벌대로 2114 (봉산동)
5th row대구광역시 중구 달구벌대로 2145 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 312
 
18.1%
수성구 88
 
5.1%
달서구 72
 
4.2%
달구벌대로 50
 
2.9%
북구 46
 
2.7%
동구 35
 
2.0%
달성군 23
 
1.3%
2층 20
 
1.2%
남구 18
 
1.0%
만촌동 18
 
1.0%
Other values (532) 1045
60.5%
2023-12-11T05:04:19.817844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1415
 
16.9%
687
 
8.2%
454
 
5.4%
390
 
4.7%
318
 
3.8%
314
 
3.7%
314
 
3.7%
314
 
3.7%
1 301
 
3.6%
( 290
 
3.5%
Other values (213) 3587
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4987
59.5%
Space Separator 1415
 
16.9%
Decimal Number 1243
 
14.8%
Open Punctuation 290
 
3.5%
Close Punctuation 290
 
3.5%
Other Punctuation 126
 
1.5%
Dash Punctuation 26
 
0.3%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
687
 
13.8%
454
 
9.1%
390
 
7.8%
318
 
6.4%
314
 
6.3%
314
 
6.3%
314
 
6.3%
157
 
3.1%
156
 
3.1%
112
 
2.2%
Other values (191) 1771
35.5%
Decimal Number
ValueCountFrequency (%)
1 301
24.2%
2 225
18.1%
4 128
10.3%
3 127
10.2%
0 115
 
9.3%
5 83
 
6.7%
6 82
 
6.6%
7 64
 
5.1%
8 59
 
4.7%
9 59
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
M 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 125
99.2%
/ 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
1415
100.0%
Open Punctuation
ValueCountFrequency (%)
( 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4987
59.5%
Common 3391
40.4%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
687
 
13.8%
454
 
9.1%
390
 
7.8%
318
 
6.4%
314
 
6.3%
314
 
6.3%
314
 
6.3%
157
 
3.1%
156
 
3.1%
112
 
2.2%
Other values (191) 1771
35.5%
Common
ValueCountFrequency (%)
1415
41.7%
1 301
 
8.9%
( 290
 
8.6%
) 290
 
8.6%
2 225
 
6.6%
4 128
 
3.8%
3 127
 
3.7%
, 125
 
3.7%
0 115
 
3.4%
5 83
 
2.4%
Other values (7) 292
 
8.6%
Latin
ValueCountFrequency (%)
A 2
33.3%
M 1
16.7%
B 1
16.7%
k 1
16.7%
e 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4987
59.5%
ASCII 3397
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1415
41.7%
1 301
 
8.9%
( 290
 
8.5%
) 290
 
8.5%
2 225
 
6.6%
4 128
 
3.8%
3 127
 
3.7%
, 125
 
3.7%
0 115
 
3.4%
5 83
 
2.4%
Other values (12) 298
 
8.8%
Hangul
ValueCountFrequency (%)
687
 
13.8%
454
 
9.1%
390
 
7.8%
318
 
6.4%
314
 
6.3%
314
 
6.3%
314
 
6.3%
157
 
3.1%
156
 
3.1%
112
 
2.2%
Other values (191) 1771
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)85.2%
Missing160
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean42192.752
Minimum41020
Maximum43022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:20.081890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41020
5-th percentile41110
Q141728.5
median42216.5
Q342738.25
95-th percentile42970
Maximum43022
Range2002
Interquartile range (IQR)1009.75

Descriptive statistics

Standard deviation593.54193
Coefficient of variation (CV)0.014067391
Kurtosis-1.0399811
Mean42192.752
Median Absolute Deviation (MAD)512
Skewness-0.41862442
Sum8860478
Variance352292.02
MonotonicityNot monotonic
2023-12-11T05:04:20.343087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42680 4
 
1.1%
42140 4
 
1.1%
42149 3
 
0.8%
42760 2
 
0.5%
42970 2
 
0.5%
41503 2
 
0.5%
42784 2
 
0.5%
42642 2
 
0.5%
42833 2
 
0.5%
42633 2
 
0.5%
Other values (169) 185
50.0%
(Missing) 160
43.2%
ValueCountFrequency (%)
41020 1
0.3%
41026 1
0.3%
41072 1
0.3%
41073 1
0.3%
41083 1
0.3%
41084 1
0.3%
41088 1
0.3%
41097 1
0.3%
41106 1
0.3%
41108 1
0.3%
ValueCountFrequency (%)
43022 1
0.3%
43018 2
0.5%
43017 1
0.3%
43014 1
0.3%
43010 1
0.3%
43008 1
0.3%
43003 1
0.3%
42998 1
0.3%
42974 1
0.3%
42970 2
0.5%
Distinct315
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T05:04:20.763628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length7.2945946
Min length2

Characters and Unicode

Total characters2699
Distinct characters304
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

Unique276 ?
Unique (%)74.6%

Sample

1st row동인동물병원
2nd row힐링스쿨동물병원
3rd row고려애견종합병원
4th row중부동물병원
5th row삼덕종합동물병원
ValueCountFrequency (%)
동물병원 40
 
9.2%
아양동물병원 5
 
1.1%
대명동물병원 4
 
0.9%
대곡동물병원 4
 
0.9%
드림동물병원 4
 
0.9%
대구동물병원 4
 
0.9%
쿨펫동물병원 4
 
0.9%
황금동물병원 4
 
0.9%
쿨펫 3
 
0.7%
우리동물병원 3
 
0.7%
Other values (326) 362
82.8%
2023-12-11T05:04:21.854555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
13.6%
360
 
13.3%
356
 
13.2%
346
 
12.8%
67
 
2.5%
37
 
1.4%
33
 
1.2%
28
 
1.0%
27
 
1.0%
25
 
0.9%
Other values (294) 1052
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2520
93.4%
Space Separator 67
 
2.5%
Uppercase Letter 41
 
1.5%
Decimal Number 31
 
1.1%
Lowercase Letter 20
 
0.7%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
368
14.6%
360
 
14.3%
356
 
14.1%
346
 
13.7%
37
 
1.5%
33
 
1.3%
28
 
1.1%
27
 
1.1%
25
 
1.0%
22
 
0.9%
Other values (251) 918
36.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
14.6%
I 5
12.2%
B 4
9.8%
K 3
 
7.3%
E 3
 
7.3%
L 3
 
7.3%
F 2
 
4.9%
N 2
 
4.9%
A 2
 
4.9%
S 2
 
4.9%
Other values (9) 9
22.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.0%
e 3
15.0%
r 2
10.0%
a 2
10.0%
y 2
10.0%
o 2
10.0%
f 1
 
5.0%
x 1
 
5.0%
p 1
 
5.0%
i 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
2 14
45.2%
4 10
32.3%
1 4
 
12.9%
5 2
 
6.5%
9 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 1
 
20.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2520
93.4%
Common 118
 
4.4%
Latin 61
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
368
14.6%
360
 
14.3%
356
 
14.1%
346
 
13.7%
37
 
1.5%
33
 
1.3%
28
 
1.1%
27
 
1.1%
25
 
1.0%
22
 
0.9%
Other values (251) 918
36.4%
Latin
ValueCountFrequency (%)
C 6
 
9.8%
I 5
 
8.2%
B 4
 
6.6%
n 3
 
4.9%
K 3
 
4.9%
E 3
 
4.9%
L 3
 
4.9%
e 3
 
4.9%
r 2
 
3.3%
F 2
 
3.3%
Other values (21) 27
44.3%
Common
ValueCountFrequency (%)
67
56.8%
2 14
 
11.9%
4 10
 
8.5%
( 7
 
5.9%
) 7
 
5.9%
1 4
 
3.4%
& 3
 
2.5%
5 2
 
1.7%
- 1
 
0.8%
9 1
 
0.8%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2520
93.4%
ASCII 179
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
368
14.6%
360
 
14.3%
356
 
14.1%
346
 
13.7%
37
 
1.5%
33
 
1.3%
28
 
1.1%
27
 
1.1%
25
 
1.0%
22
 
0.9%
Other values (251) 918
36.4%
ASCII
ValueCountFrequency (%)
67
37.4%
2 14
 
7.8%
4 10
 
5.6%
( 7
 
3.9%
) 7
 
3.9%
C 6
 
3.4%
I 5
 
2.8%
B 4
 
2.2%
1 4
 
2.2%
n 3
 
1.7%
Other values (33) 52
29.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014812 × 1013
Minimum2.0030516 × 1013
Maximum2.0211216 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:22.181047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030516 × 1013
5-th percentile2.0040923 × 1013
Q12.009101 × 1013
median2.0180214 × 1013
Q32.0200301 × 1013
95-th percentile2.0211013 × 1013
Maximum2.0211216 × 1013
Range1.8070003 × 1011
Interquartile range (IQR)1.092908 × 1011

Descriptive statistics

Standard deviation6.0005647 × 1010
Coefficient of variation (CV)0.0029782256
Kurtosis-1.1536984
Mean2.014812 × 1013
Median Absolute Deviation (MAD)3.0799462 × 1010
Skewness-0.59889962
Sum7.4548045 × 1015
Variance3.6006777 × 1021
MonotonicityNot monotonic
2023-12-11T05:04:22.432673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210610141907 1
 
0.3%
20110728171701 1
 
0.3%
20050802092217 1
 
0.3%
20060131135227 1
 
0.3%
20051019175247 1
 
0.3%
20071203092545 1
 
0.3%
20091019130036 1
 
0.3%
20060303140237 1
 
0.3%
20050330093237 1
 
0.3%
20190516105400 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
20030516114448 1
0.3%
20030516115308 1
0.3%
20030919150101 1
0.3%
20031017125559 1
0.3%
20031021130516 1
0.3%
20031206091933 1
0.3%
20040106104251 1
0.3%
20040302093713 1
0.3%
20040316130425 1
0.3%
20040331092536 1
0.3%
ValueCountFrequency (%)
20211216144043 1
0.3%
20211207170136 1
0.3%
20211126153332 1
0.3%
20211124110208 1
0.3%
20211112093559 1
0.3%
20211104111544 1
0.3%
20211103103558 1
0.3%
20211102171603 1
0.3%
20211102163737 1
0.3%
20211102105008 1
0.3%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
210 
U
160 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 210
56.8%
U 160
43.2%

Length

2023-12-11T05:04:22.653906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:22.819641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 210
56.8%
u 160
43.2%
Distinct110
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-12-18 02:40:00
2023-12-11T05:04:22.990267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:04:23.223293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)88.0%
Missing61
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean343382.12
Minimum327723.1
Maximum357916.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:23.402053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327723.1
5-th percentile332362.73
Q1339446.67
median344020.92
Q3347107.85
95-th percentile353986.45
Maximum357916.12
Range30193.019
Interquartile range (IQR)7661.1858

Descriptive statistics

Standard deviation5792.6815
Coefficient of variation (CV)0.016869491
Kurtosis-0.2059939
Mean343382.12
Median Absolute Deviation (MAD)3908.1976
Skewness-0.011011367
Sum1.0610508 × 108
Variance33555160
MonotonicityNot monotonic
2023-12-11T05:04:23.617069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337647.188647 5
 
1.4%
354569.614833 3
 
0.8%
341518.687046 3
 
0.8%
346694.940509 3
 
0.8%
340399.559135 2
 
0.5%
345574.265505 2
 
0.5%
344723.182424 2
 
0.5%
347107.851301 2
 
0.5%
345567.742579 2
 
0.5%
354588.39657 2
 
0.5%
Other values (262) 283
76.5%
(Missing) 61
 
16.5%
ValueCountFrequency (%)
327723.104095 1
0.3%
330235.0 1
0.3%
330313.954714 1
0.3%
330458.0 1
0.3%
330680.042496 1
0.3%
331052.543517 1
0.3%
331862.0 1
0.3%
331913.0 1
0.3%
331966.0 1
0.3%
331971.741923 1
0.3%
ValueCountFrequency (%)
357916.122672 1
 
0.3%
356328.084343 1
 
0.3%
355939.362329 1
 
0.3%
355720.713079 1
 
0.3%
355195.987479 1
 
0.3%
354734.129813 1
 
0.3%
354632.285747 1
 
0.3%
354588.39657 2
0.5%
354569.614833 3
0.8%
354504.224564 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct272
Distinct (%)88.0%
Missing61
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean262636.03
Minimum240811.48
Maximum272780.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T05:04:23.832140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240811.48
5-th percentile257437.23
Q1261028.84
median262837.39
Q3264849.27
95-th percentile270343.61
Maximum272780.36
Range31968.88
Interquartile range (IQR)3820.4277

Descriptive statistics

Standard deviation4775.7693
Coefficient of variation (CV)0.018183984
Kurtosis5.6608543
Mean262636.03
Median Absolute Deviation (MAD)1903.6535
Skewness-1.4177881
Sum81154533
Variance22807972
MonotonicityNot monotonic
2023-12-11T05:04:24.005979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258512.316695 5
 
1.4%
261241.752777 3
 
0.8%
271889.685084 3
 
0.8%
260487.502073 3
 
0.8%
264436.412999 2
 
0.5%
269220.847627 2
 
0.5%
266253.208998 2
 
0.5%
259757.174838 2
 
0.5%
261085.725707 2
 
0.5%
261224.472156 2
 
0.5%
Other values (262) 283
76.5%
(Missing) 61
 
16.5%
ValueCountFrequency (%)
240811.478411 1
0.3%
241843.0 1
0.3%
242859.333759 1
0.3%
244525.0 1
0.3%
244558.0 1
0.3%
244606.289818 1
0.3%
244698.0 1
0.3%
245061.480204 1
0.3%
245130.0 1
0.3%
254366.0 1
0.3%
ValueCountFrequency (%)
272780.358858 1
 
0.3%
272735.67566 1
 
0.3%
272624.325445 1
 
0.3%
272538.877152 1
 
0.3%
272499.817975 1
 
0.3%
272436.044989 1
 
0.3%
272059.640305 1
 
0.3%
271940.297572 1
 
0.3%
271889.685084 3
0.8%
271863.435834 1
 
0.3%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
동물병원
370 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 370
100.0%

Length

2023-12-11T05:04:24.243231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:24.363555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 370
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)100.0%
Memory size3.4 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
000
362 
L00
 
7
O00
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
000 362
97.8%
L00 7
 
1.9%
O00 1
 
0.3%

Length

2023-12-11T05:04:24.500007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:24.643703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 362
97.8%
l00 7
 
1.9%
o00 1
 
0.3%

총종업원수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
313 
0
57 

Length

Max length4
Median length4
Mean length3.5378378
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> 313
84.6%
0 57
 
15.4%

Length

2023-12-11T05:04:24.798988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:04:24.947482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 313
84.6%
0 57
 
15.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
01동물병원02_03_01_P341000034100000101990000119900521<NA>1영업/정상0정상<NA><NA><NA><NA>424-4258357.74<NA>대구광역시 중구 동인동4가 332대구광역시 중구 국채보상로 724 (동인동4가)41946동인동물병원20210610141907U2021-06-12 02:40:00.0<NA>345305.717666264336.799703동물병원<NA>000<NA>
12동물병원02_03_01_P341000034100000102016000120160725<NA>3폐업2폐업20170629<NA><NA><NA>252-119247.1<NA>대구광역시 중구 대봉동 758번지대구광역시 중구 동덕로 55 (대봉동, 대봉태왕아너스)41954힐링스쿨동물병원20170629165931I2018-08-31 23:59:59.0<NA>344716.154417263356.833666동물병원<NA>000<NA>
23동물병원02_03_01_P341000034100000101998000319981009<NA>1영업/정상0정상<NA><NA><NA><NA>256-61000.0<NA>대구광역시 중구 남산동 661-1번지대구광역시 중구 중앙대로 333 (남산동)41967고려애견종합병원20121128145158I2018-08-31 23:59:59.0<NA>343798.804367263691.65569동물병원<NA>000<NA>
34동물병원02_03_01_P341000034100000102003000220030619<NA>1영업/정상0정상<NA><NA><NA><NA>253-827833.06<NA>대구광역시 중구 봉산동 53-2번지대구광역시 중구 달구벌대로 2114 (봉산동)41958중부동물병원20131223171502I2018-08-31 23:59:59.0<NA>343967.748782263925.436189동물병원<NA>000<NA>
45동물병원02_03_01_P341000034100000102004000120041202<NA>1영업/정상0정상<NA><NA><NA><NA>426-173163.57<NA>대구광역시 중구 삼덕동1가 41-8번지대구광역시 중구 달구벌대로 2145 (삼덕동1가)41942삼덕종합동물병원20111201131034I2018-08-31 23:59:59.0<NA>344293.851938263919.513954동물병원<NA>000<NA>
56동물병원02_03_01_P341000034100000102005000220050308<NA>1영업/정상0정상<NA><NA><NA><NA>254-336653.9<NA>대구광역시 중구 남성로 1번지 15통5반 205호대구광역시 중구 서성로 34 (남성로)41934동산동물병원20131008112353I2018-08-31 23:59:59.0<NA>343299.94245264434.457161동물병원<NA>000<NA>
67동물병원02_03_01_P341000034100000102011000120110215<NA>1영업/정상0정상<NA><NA><NA><NA>767-117783.18<NA>대구광역시 중구 대봉동 48-13번지대구광역시 중구 동덕로 56-3 (대봉동)41952오원석 황금동물병원20200121110417U2020-01-23 02:40:00.0<NA>344869.554112263390.475895동물병원<NA>000<NA>
78동물병원02_03_01_P341000034100000102013000120130724<NA>1영업/정상0정상<NA><NA><NA><NA>053-424-9944122.98<NA>대구광역시 중구 대봉동 715-15번지대구광역시 중구 대봉로 278 (대봉동)41950대구축산 동물병원20190111162658U2019-01-13 02:40:00.0<NA>344432.563324263763.687867동물병원<NA>L00<NA>
89동물병원02_03_01_P341000034100000102015000120150320<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 중구 대신동 305-1 4통4반 태왕아너스스카이 상가 101호, 102호, 103호대구광역시 중구 달구벌대로 1975 (대신동, 태왕아너스스카이 상가 101호, 102호, 103호)41927대구S동물병원20211216144043U2021-12-18 02:40:00.0<NA>342612.164106263922.517239동물병원<NA>0000
910동물병원02_03_01_P341000034100000102018000120180321<NA>1영업/정상0정상<NA><NA><NA><NA>255-82750.0<NA>대구광역시 중구 대봉동 40-135번지대구광역시 중구 동덕로8길 2 (대봉동)41952원동물병원20190422112847U2019-04-24 02:40:00.0<NA>344945.384808263227.936358동물병원<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총종업원수
360361동물병원02_03_01_P348000034800000102021000120210622<NA>1영업/정상0정상<NA><NA><NA><NA>053-593-2842214.76<NA>대구광역시 달성군 다사읍 죽곡리 808-5대구광역시 달성군 다사읍 죽곡1길 13-3, 주순빌딩 201호42918디에스 동물메디컬20210928105835U2021-09-30 02:40:00.0<NA>332228.174486262881.91907동물병원<NA>0000
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