Overview

Dataset statistics

Number of variables32
Number of observations379
Missing cells3266
Missing cells (%)26.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.3 KiB
Average record size in memory276.3 B

Variable types

Numeric10
Categorical10
Unsupported7
Text4
DateTime1

Dataset

Description22년12월_6270000_대구광역시_02_03_01_P_동물병원
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097341&dataSetDetailId=DDI_0000097356&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분명 has constant value ""Constant
권리주체일련번호 is highly imbalanced (90.0%)Imbalance
인허가취소일자 has 379 (100.0%) missing valuesMissing
폐업일자 has 200 (52.8%) missing valuesMissing
휴업시작일자 has 379 (100.0%) missing valuesMissing
휴업종료일자 has 379 (100.0%) missing valuesMissing
재개업일자 has 379 (100.0%) missing valuesMissing
소재지전화 has 50 (13.2%) missing valuesMissing
소재지면적 has 22 (5.8%) missing valuesMissing
소재지우편번호 has 379 (100.0%) missing valuesMissing
소재지전체주소 has 5 (1.3%) missing valuesMissing
도로명전체주소 has 58 (15.3%) missing valuesMissing
도로명우편번호 has 158 (41.7%) missing valuesMissing
업태구분명 has 379 (100.0%) missing valuesMissing
좌표정보(X) has 60 (15.8%) missing valuesMissing
좌표정보(Y) has 60 (15.8%) missing valuesMissing
상세업무구분명 has 379 (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 167 (44.1%) zerosZeros

Reproduction

Analysis started2024-04-21 21:48:01.267396
Analysis finished2024-04-21 21:48:02.284406
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct379
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190
Minimum1
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:02.412023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.9
Q195.5
median190
Q3284.5
95-th percentile360.1
Maximum379
Range378
Interquartile range (IQR)189

Descriptive statistics

Standard deviation109.55212
Coefficient of variation (CV)0.5765901
Kurtosis-1.2
Mean190
Median Absolute Deviation (MAD)95
Skewness0
Sum72010
Variance12001.667
MonotonicityStrictly increasing
2024-04-22T06:48:02.663265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
251 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
Other values (369) 369
97.4%
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 (%)
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물병원
379 

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 379
100.0%

Length

2024-04-22T06:48:02.907596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:03.077858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 379
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
02_03_01_P
379 

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 379
100.0%

Length

2024-04-22T06:48:03.259879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:03.430591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_01_p 379
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451741.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:03.581610image/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 deviation20331.294
Coefficient of variation (CV)0.0058901557
Kurtosis-0.68070613
Mean3451741.4
Median Absolute Deviation (MAD)10000
Skewness-0.69186329
Sum1.30821 × 109
Variance4.1336153 × 108
MonotonicityIncreasing
2024-04-22T06:48:03.778138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 102
26.9%
3470000 87
23.0%
3450000 51
13.5%
3420000 47
12.4%
3480000 27
 
7.1%
3440000 26
 
6.9%
3410000 23
 
6.1%
3430000 16
 
4.2%
ValueCountFrequency (%)
3410000 23
 
6.1%
3420000 47
12.4%
3430000 16
 
4.2%
3440000 26
 
6.9%
3450000 51
13.5%
3460000 102
26.9%
3470000 87
23.0%
3480000 27
 
7.1%
ValueCountFrequency (%)
3480000 27
 
7.1%
3470000 87
23.0%
3460000 102
26.9%
3450000 51
13.5%
3440000 26
 
6.9%
3430000 16
 
4.2%
3420000 47
12.4%
3410000 23
 
6.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct379
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4517414 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:04.021704image/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 deviation2.0331294 × 1015
Coefficient of variation (CV)0.0058901557
Kurtosis-0.68070613
Mean3.4517414 × 1017
Median Absolute Deviation (MAD)1 × 1015
Skewness-0.69186329
Sum1.6937919 × 1018
Variance4.1336153 × 1030
MonotonicityNot monotonic
2024-04-22T06:48:04.287738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000001020220003 1
 
0.3%
346000001020030001 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%
346000001020030003 1
 
0.3%
Other values (369) 369
97.4%
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)

Distinct346
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068624
Minimum19720301
Maximum20221123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:04.688653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720301
5-th percentile19919422
Q120020724
median20051222
Q320140718
95-th percentile20210142
Maximum20221123
Range500822
Interquartile range (IQR)119994

Descriptive statistics

Standard deviation93350.187
Coefficient of variation (CV)0.0046515489
Kurtosis0.6124683
Mean20068624
Median Absolute Deviation (MAD)59980
Skewness-0.61188993
Sum7.6060086 × 109
Variance8.7142573 × 109
MonotonicityNot monotonic
2024-04-22T06:48:05.156521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19810824 10
 
2.6%
20030115 8
 
2.1%
20010222 3
 
0.8%
19950718 2
 
0.5%
20060628 2
 
0.5%
20010213 2
 
0.5%
20040527 2
 
0.5%
20120427 2
 
0.5%
20040923 2
 
0.5%
20080418 2
 
0.5%
Other values (336) 344
90.8%
ValueCountFrequency (%)
19720301 1
 
0.3%
19810824 10
2.6%
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 (%)
20221123 2
0.5%
20220930 1
0.3%
20220629 1
0.3%
20220422 1
0.3%
20220225 1
0.3%
20220217 1
0.3%
20220114 1
0.3%
20220105 1
0.3%
20211103 1
0.3%
20211022 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
194 
3
181 
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 (%)
1 194
51.2%
3 181
47.8%
4 3
 
0.8%
2 1
 
0.3%

Length

2024-04-22T06:48:05.581277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:05.860666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 194
51.2%
3 181
47.8%
4 3
 
0.8%
2 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
194 
폐업
181 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length3.6306069
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 194
51.2%
폐업 181
47.8%
취소/말소/만료/정지/중지 3
 
0.8%
휴업 1
 
0.3%

Length

2024-04-22T06:48:06.064849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:06.262119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 194
51.2%
폐업 181
47.8%
취소/말소/만료/정지/중지 3
 
0.8%
휴업 1
 
0.3%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
194 
2
181 
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 (%)
0 194
51.2%
2 181
47.8%
4 3
 
0.8%
1 1
 
0.3%

Length

2024-04-22T06:48:06.460108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:06.648293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 194
51.2%
2 181
47.8%
4 3
 
0.8%
1 1
 
0.3%
Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
정상
194 
폐업
181 
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 194
51.2%
폐업 181
47.8%
말소 3
 
0.8%
휴업 1
 
0.3%

Length

2024-04-22T06:48:06.841972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:07.029892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 194
51.2%
폐업 181
47.8%
말소 3
 
0.8%
휴업 1
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)96.6%
Missing200
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean20107499
Minimum19930810
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:07.237985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930810
5-th percentile20040315
Q120060214
median20090630
Q320155981
95-th percentile20210356
Maximum20221130
Range290320
Interquartile range (IQR)95766.5

Descriptive statistics

Standard deviation60128.833
Coefficient of variation (CV)0.0029903685
Kurtosis-0.89721631
Mean20107499
Median Absolute Deviation (MAD)49500
Skewness0.27830595
Sum3.5992424 × 109
Variance3.6154766 × 109
MonotonicityNot monotonic
2024-04-22T06:48:07.484917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040923 3
 
0.8%
20111101 2
 
0.5%
20050330 2
 
0.5%
20070622 2
 
0.5%
20060303 2
 
0.5%
20051019 1
 
0.3%
20110728 1
 
0.3%
20050930 1
 
0.3%
20190516 1
 
0.3%
20091019 1
 
0.3%
Other values (163) 163
43.0%
(Missing) 200
52.8%
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 (%)
20221130 1
0.3%
20220919 1
0.3%
20220803 1
0.3%
20220204 1
0.3%
20220203 1
0.3%
20220112 1
0.3%
20220105 1
0.3%
20211231 1
0.3%
20210630 1
0.3%
20210325 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB

소재지전화
Text

MISSING 

Distinct293
Distinct (%)89.1%
Missing50
Missing (%)13.2%
Memory size3.1 KiB
2024-04-22T06:48:08.440392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length8
Mean length9.775076
Min length7

Characters and Unicode

Total characters3216
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

Unique266 ?
Unique (%)80.9%

Sample

1st row421-7582
2nd row252-1192
3rd row803-7370
4th row256-6100
5th row253-8278
ValueCountFrequency (%)
984-1273 5
 
1.5%
653-4512 4
 
1.2%
792-7788 3
 
0.9%
792-5544 3
 
0.9%
767-1177 3
 
0.9%
053-636-1118 3
 
0.9%
942-0805 2
 
0.6%
763-8855 2
 
0.6%
959-0121 2
 
0.6%
965-7975 2
 
0.6%
Other values (283) 300
91.2%
2024-04-22T06:48:09.750381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 542
16.9%
- 444
13.8%
7 357
11.1%
3 355
11.0%
0 284
8.8%
2 232
7.2%
8 214
 
6.7%
1 213
 
6.6%
6 213
 
6.6%
4 179
 
5.6%
Other values (2) 183
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2767
86.0%
Dash Punctuation 444
 
13.8%
Other Punctuation 5
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 542
19.6%
7 357
12.9%
3 355
12.8%
0 284
10.3%
2 232
8.4%
8 214
 
7.7%
1 213
 
7.7%
6 213
 
7.7%
4 179
 
6.5%
9 178
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 444
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 542
16.9%
- 444
13.8%
7 357
11.1%
3 355
11.0%
0 284
8.8%
2 232
7.2%
8 214
 
6.7%
1 213
 
6.6%
6 213
 
6.6%
4 179
 
5.6%
Other values (2) 183
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 542
16.9%
- 444
13.8%
7 357
11.1%
3 355
11.0%
0 284
8.8%
2 232
7.2%
8 214
 
6.7%
1 213
 
6.6%
6 213
 
6.6%
4 179
 
5.6%
Other values (2) 183
 
5.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct186
Distinct (%)52.1%
Missing22
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean173.82485
Minimum0
Maximum13056.28
Zeros167
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:10.051499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35
Q3117
95-th percentile701.524
Maximum13056.28
Range13056.28
Interquartile range (IQR)117

Descriptive statistics

Standard deviation775.15598
Coefficient of variation (CV)4.4594084
Kurtosis217.96904
Mean173.82485
Median Absolute Deviation (MAD)35
Skewness13.640683
Sum62055.47
Variance600866.79
MonotonicityNot monotonic
2024-04-22T06:48:10.436602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 167
44.1%
44.0 2
 
0.5%
1949.48 2
 
0.5%
203.78 2
 
0.5%
111.0 2
 
0.5%
148.59 2
 
0.5%
164.29 1
 
0.3%
80.12 1
 
0.3%
59.6 1
 
0.3%
42.0 1
 
0.3%
Other values (176) 176
46.4%
(Missing) 22
 
5.8%
ValueCountFrequency (%)
0.0 167
44.1%
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%
1249.54 1
0.3%
1156.0 1
0.3%
1150.51 1
0.3%
906.91 1
0.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB

소재지전체주소
Text

MISSING 

Distinct344
Distinct (%)92.0%
Missing5
Missing (%)1.3%
Memory size3.1 KiB
2024-04-22T06:48:11.305262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40.5
Mean length23.81016
Min length14

Characters and Unicode

Total characters8905
Distinct characters201
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

Unique319 ?
Unique (%)85.3%

Sample

1st row대구광역시 중구 남산동 2118-2 로하스남산 101호
2nd row대구광역시 중구 대봉동 758번지
3rd row대구광역시 중구 달성동 294-1 달성공원
4th row대구광역시 중구 남산동 661-1번지
5th row대구광역시 중구 봉산동 53-2번지
ValueCountFrequency (%)
대구광역시 374
21.8%
수성구 97
 
5.6%
달서구 87
 
5.1%
번지 54
 
3.1%
북구 51
 
3.0%
동구 47
 
2.7%
달성군 27
 
1.6%
남구 26
 
1.5%
중구 23
 
1.3%
만촌동 18
 
1.0%
Other values (543) 913
53.2%
2024-04-22T06:48:12.910063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1772
19.9%
729
 
8.2%
1 456
 
5.1%
419
 
4.7%
417
 
4.7%
380
 
4.3%
375
 
4.2%
374
 
4.2%
- 306
 
3.4%
290
 
3.3%
Other values (191) 3387
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4986
56.0%
Decimal Number 1829
 
20.5%
Space Separator 1772
 
19.9%
Dash Punctuation 306
 
3.4%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
729
14.6%
419
 
8.4%
417
 
8.4%
380
 
7.6%
375
 
7.5%
374
 
7.5%
290
 
5.8%
264
 
5.3%
161
 
3.2%
116
 
2.3%
Other values (172) 1461
29.3%
Decimal Number
ValueCountFrequency (%)
1 456
24.9%
2 251
13.7%
5 175
 
9.6%
4 164
 
9.0%
3 158
 
8.6%
0 146
 
8.0%
6 136
 
7.4%
9 128
 
7.0%
8 110
 
6.0%
7 105
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
1772
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4986
56.0%
Common 3915
44.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
729
14.6%
419
 
8.4%
417
 
8.4%
380
 
7.6%
375
 
7.5%
374
 
7.5%
290
 
5.8%
264
 
5.3%
161
 
3.2%
116
 
2.3%
Other values (172) 1461
29.3%
Common
ValueCountFrequency (%)
1772
45.3%
1 456
 
11.6%
- 306
 
7.8%
2 251
 
6.4%
5 175
 
4.5%
4 164
 
4.2%
3 158
 
4.0%
0 146
 
3.7%
6 136
 
3.5%
9 128
 
3.3%
Other values (6) 223
 
5.7%
Latin
ValueCountFrequency (%)
A 2
50.0%
e 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4986
56.0%
ASCII 3919
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1772
45.2%
1 456
 
11.6%
- 306
 
7.8%
2 251
 
6.4%
5 175
 
4.5%
4 164
 
4.2%
3 158
 
4.0%
0 146
 
3.7%
6 136
 
3.5%
9 128
 
3.3%
Other values (9) 227
 
5.8%
Hangul
ValueCountFrequency (%)
729
14.6%
419
 
8.4%
417
 
8.4%
380
 
7.6%
375
 
7.5%
374
 
7.5%
290
 
5.8%
264
 
5.3%
161
 
3.2%
116
 
2.3%
Other values (172) 1461
29.3%

도로명전체주소
Text

MISSING 

Distinct295
Distinct (%)91.9%
Missing58
Missing (%)15.3%
Memory size3.1 KiB
2024-04-22T06:48:13.856488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length52
Mean length27.121495
Min length19

Characters and Unicode

Total characters8706
Distinct characters232
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

Unique271 ?
Unique (%)84.4%

Sample

1st row대구광역시 중구 남산로6안길 47, 1층 101, 105호 (남산동, 로하스남산)
2nd row대구광역시 중구 동덕로 55 (대봉동, 대봉태왕아너스)
3rd row대구광역시 중구 달성공원로 35, 달성공원 (달성동)
4th row대구광역시 중구 중앙대로 333 (남산동)
5th row대구광역시 중구 달구벌대로 2114 (봉산동)
ValueCountFrequency (%)
대구광역시 321
 
17.9%
수성구 89
 
5.0%
달서구 74
 
4.1%
달구벌대로 52
 
2.9%
북구 48
 
2.7%
동구 35
 
2.0%
달성군 23
 
1.3%
2층 21
 
1.2%
1층 21
 
1.2%
남구 19
 
1.1%
Other values (553) 1088
60.7%
2024-04-22T06:48:15.082875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1470
 
16.9%
708
 
8.1%
470
 
5.4%
401
 
4.6%
327
 
3.8%
324
 
3.7%
323
 
3.7%
323
 
3.7%
1 323
 
3.7%
( 299
 
3.4%
Other values (222) 3738
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5155
59.2%
Space Separator 1470
 
16.9%
Decimal Number 1305
 
15.0%
Open Punctuation 299
 
3.4%
Close Punctuation 299
 
3.4%
Other Punctuation 141
 
1.6%
Dash Punctuation 28
 
0.3%
Uppercase Letter 7
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
708
 
13.7%
470
 
9.1%
401
 
7.8%
327
 
6.3%
324
 
6.3%
323
 
6.3%
323
 
6.3%
160
 
3.1%
159
 
3.1%
113
 
2.2%
Other values (198) 1847
35.8%
Decimal Number
ValueCountFrequency (%)
1 323
24.8%
2 233
17.9%
4 132
10.1%
3 131
10.0%
0 123
 
9.4%
5 88
 
6.7%
6 84
 
6.4%
7 66
 
5.1%
8 65
 
5.0%
9 60
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
I 1
14.3%
V 1
14.3%
B 1
14.3%
P 1
14.3%
M 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 140
99.3%
/ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5155
59.2%
Common 3543
40.7%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
708
 
13.7%
470
 
9.1%
401
 
7.8%
327
 
6.3%
324
 
6.3%
323
 
6.3%
323
 
6.3%
160
 
3.1%
159
 
3.1%
113
 
2.2%
Other values (198) 1847
35.8%
Common
ValueCountFrequency (%)
1470
41.5%
1 323
 
9.1%
( 299
 
8.4%
) 299
 
8.4%
2 233
 
6.6%
, 140
 
4.0%
4 132
 
3.7%
3 131
 
3.7%
0 123
 
3.5%
5 88
 
2.5%
Other values (7) 305
 
8.6%
Latin
ValueCountFrequency (%)
A 2
25.0%
I 1
12.5%
V 1
12.5%
B 1
12.5%
P 1
12.5%
e 1
12.5%
M 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5155
59.2%
ASCII 3551
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1470
41.4%
1 323
 
9.1%
( 299
 
8.4%
) 299
 
8.4%
2 233
 
6.6%
, 140
 
3.9%
4 132
 
3.7%
3 131
 
3.7%
0 123
 
3.5%
5 88
 
2.5%
Other values (14) 313
 
8.8%
Hangul
ValueCountFrequency (%)
708
 
13.7%
470
 
9.1%
401
 
7.8%
327
 
6.3%
324
 
6.3%
323
 
6.3%
323
 
6.3%
160
 
3.1%
159
 
3.1%
113
 
2.2%
Other values (198) 1847
35.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)85.1%
Missing158
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean42188.063
Minimum41020
Maximum43022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:15.324259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41020
5-th percentile41110
Q141765
median42198
Q342736
95-th percentile42970
Maximum43022
Range2002
Interquartile range (IQR)971

Descriptive statistics

Standard deviation585.9375
Coefficient of variation (CV)0.013888704
Kurtosis-1.0288191
Mean42188.063
Median Absolute Deviation (MAD)498
Skewness-0.39580971
Sum9323562
Variance343322.76
MonotonicityNot monotonic
2024-04-22T06:48:15.592403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42680 4
 
1.1%
42140 4
 
1.1%
42760 3
 
0.8%
42149 3
 
0.8%
42642 3
 
0.8%
42185 2
 
0.5%
42038 2
 
0.5%
41423 2
 
0.5%
41230 2
 
0.5%
42769 2
 
0.5%
Other values (178) 194
51.2%
(Missing) 158
41.7%
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%
Distinct324
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-22T06:48:16.287803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length7.3087071
Min length2

Characters and Unicode

Total characters2770
Distinct characters308
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

Unique285 ?
Unique (%)75.2%

Sample

1st row남산연합동물병원
2nd row힐링스쿨동물병원
3rd row달성공원 동물병원
4th row고려애견종합병원
5th row중부동물병원
ValueCountFrequency (%)
동물병원 40
 
8.9%
아양동물병원 5
 
1.1%
대명동물병원 4
 
0.9%
대곡동물병원 4
 
0.9%
드림동물병원 4
 
0.9%
쿨펫동물병원 4
 
0.9%
황금동물병원 4
 
0.9%
대구동물병원 4
 
0.9%
쿨펫 3
 
0.7%
우리동물병원 3
 
0.7%
Other values (336) 372
83.2%
2024-04-22T06:48:17.180829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
 
13.6%
368
 
13.3%
362
 
13.1%
352
 
12.7%
68
 
2.5%
39
 
1.4%
34
 
1.2%
28
 
1.0%
27
 
1.0%
27
 
1.0%
Other values (298) 1088
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2587
93.4%
Space Separator 68
 
2.5%
Uppercase Letter 44
 
1.6%
Decimal Number 31
 
1.1%
Lowercase Letter 20
 
0.7%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
377
 
14.6%
368
 
14.2%
362
 
14.0%
352
 
13.6%
39
 
1.5%
34
 
1.3%
28
 
1.1%
27
 
1.0%
27
 
1.0%
23
 
0.9%
Other values (254) 950
36.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
13.6%
I 5
11.4%
B 4
 
9.1%
A 3
 
6.8%
L 3
 
6.8%
K 3
 
6.8%
E 3
 
6.8%
H 2
 
4.5%
N 2
 
4.5%
F 2
 
4.5%
Other values (10) 11
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
15.0%
n 3
15.0%
o 2
10.0%
y 2
10.0%
r 2
10.0%
a 2
10.0%
x 1
 
5.0%
f 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 (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2587
93.4%
Common 119
 
4.3%
Latin 64
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
377
 
14.6%
368
 
14.2%
362
 
14.0%
352
 
13.6%
39
 
1.5%
34
 
1.3%
28
 
1.1%
27
 
1.0%
27
 
1.0%
23
 
0.9%
Other values (254) 950
36.7%
Latin
ValueCountFrequency (%)
C 6
 
9.4%
I 5
 
7.8%
B 4
 
6.2%
e 3
 
4.7%
A 3
 
4.7%
n 3
 
4.7%
L 3
 
4.7%
K 3
 
4.7%
E 3
 
4.7%
H 2
 
3.1%
Other values (22) 29
45.3%
Common
ValueCountFrequency (%)
68
57.1%
2 14
 
11.8%
4 10
 
8.4%
) 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 2587
93.4%
ASCII 183
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
377
 
14.6%
368
 
14.2%
362
 
14.0%
352
 
13.6%
39
 
1.5%
34
 
1.3%
28
 
1.1%
27
 
1.0%
27
 
1.0%
23
 
0.9%
Other values (254) 950
36.7%
ASCII
ValueCountFrequency (%)
68
37.2%
2 14
 
7.7%
4 10
 
5.5%
) 7
 
3.8%
( 7
 
3.8%
C 6
 
3.3%
I 5
 
2.7%
B 4
 
2.2%
1 4
 
2.2%
e 3
 
1.6%
Other values (34) 55
30.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct379
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153127 × 1013
Minimum2.0030516 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:17.427211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030516 × 1013
5-th percentile2.0040923 × 1013
Q12.010031 × 1013
median2.0190107 × 1013
Q32.0210124 × 1013
95-th percentile2.0220723 × 1013
Maximum2.022123 × 1013
Range1.9071398 × 1011
Interquartile range (IQR)1.098145 × 1011

Descriptive statistics

Standard deviation6.18583 × 1010
Coefficient of variation (CV)0.0030694145
Kurtosis-1.0841581
Mean2.0153127 × 1013
Median Absolute Deviation (MAD)3.0411947 × 1010
Skewness-0.63176975
Sum7.638035 × 1015
Variance3.8264493 × 1021
MonotonicityNot monotonic
2024-04-22T06:48:17.698206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220613110145 1
 
0.3%
20031021130516 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%
20050930141935 1
 
0.3%
Other values (369) 369
97.4%
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 (%)
20221230092333 1
0.3%
20221229104119 1
0.3%
20221229092852 1
0.3%
20221226091838 1
0.3%
20221130091451 1
0.3%
20221123155010 1
0.3%
20221123144539 1
0.3%
20221031103708 1
0.3%
20221028092555 1
0.3%
20221019134018 1
0.3%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
205 
U
174 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 205
54.1%
U 174
45.9%

Length

2024-04-22T06:48:17.952921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:18.131527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 205
54.1%
u 174
45.9%
Distinct135
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2024-04-22T06:48:18.341097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:48:18.586734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)88.4%
Missing60
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean343373.66
Minimum327723.74
Maximum357916.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:18.833347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327723.74
5-th percentile332411.01
Q1339437.73
median343967.75
Q3346859.84
95-th percentile354013.63
Maximum357916.12
Range30192.379
Interquartile range (IQR)7422.1132

Descriptive statistics

Standard deviation5764.322
Coefficient of variation (CV)0.016787315
Kurtosis-0.17165824
Mean343373.66
Median Absolute Deviation (MAD)3855.0219
Skewness-0.0007542187
Sum1.095362 × 108
Variance33227408
MonotonicityNot monotonic
2024-04-22T06:48:19.071777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337647.188646821 5
 
1.3%
346694.940508776 3
 
0.8%
341518.687045791 3
 
0.8%
354569.614832521 3
 
0.8%
348332.658442153 2
 
0.5%
340754.827812283 2
 
0.5%
340399.559134917 2
 
0.5%
339032.201973447 2
 
0.5%
337587.855403145 2
 
0.5%
338237.896959912 2
 
0.5%
Other values (272) 293
77.3%
(Missing) 60
 
15.8%
ValueCountFrequency (%)
327723.743609075 1
0.3%
330218.927904054 1
0.3%
330276.830336483 1
0.3%
330313.95471424 1
0.3%
330680.042496083 1
0.3%
330820.953107375 1
0.3%
331712.474116767 1
0.3%
331780.126042364 1
0.3%
331838.761722146 1
0.3%
331971.741923153 1
0.3%
ValueCountFrequency (%)
357916.122671764 1
 
0.3%
356328.084342899 1
 
0.3%
355939.362329351 1
 
0.3%
355720.71307953 1
 
0.3%
355195.635467933 1
 
0.3%
354734.129812761 1
 
0.3%
354632.285747208 1
 
0.3%
354588.396569993 2
0.5%
354569.614832521 3
0.8%
354504.22456415 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)88.4%
Missing60
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean262679.55
Minimum240813.15
Maximum272780.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-22T06:48:19.315660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240813.15
5-th percentile257385.32
Q1261030.97
median262881.85
Q3264894.83
95-th percentile270436.65
Maximum272780.36
Range31967.209
Interquartile range (IQR)3863.8569

Descriptive statistics

Standard deviation4777.8926
Coefficient of variation (CV)0.018189054
Kurtosis5.5653774
Mean262679.55
Median Absolute Deviation (MAD)1948.112
Skewness-1.3790697
Sum83794775
Variance22828257
MonotonicityNot monotonic
2024-04-22T06:48:19.570688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258512.316695219 5
 
1.3%
260487.502072888 3
 
0.8%
271889.685083688 3
 
0.8%
261241.752776653 3
 
0.8%
263310.778569145 2
 
0.5%
261049.387688949 2
 
0.5%
264436.412999101 2
 
0.5%
262260.208462735 2
 
0.5%
258174.132991363 2
 
0.5%
261308.005600842 2
 
0.5%
Other values (272) 293
77.3%
(Missing) 60
 
15.8%
ValueCountFrequency (%)
240813.150041343 1
0.3%
241789.110122663 1
0.3%
242590.497739479 1
0.3%
244537.750024761 1
0.3%
244553.515554328 1
0.3%
244606.28981761 1
0.3%
244660.404545869 1
0.3%
245061.480203932 1
0.3%
245127.487097293 1
0.3%
254401.793424696 1
0.3%
ValueCountFrequency (%)
272780.358857987 1
 
0.3%
272735.675659876 1
 
0.3%
272624.325445076 1
 
0.3%
272562.955096575 1
 
0.3%
272538.877151776 1
 
0.3%
272499.817974715 1
 
0.3%
272436.044989014 1
 
0.3%
272059.640304561 1
 
0.3%
271940.297572072 1
 
0.3%
271889.685083688 3
0.8%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
동물병원
379 

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 379
100.0%

Length

2024-04-22T06:48:19.806638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:19.976290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 379
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing379
Missing (%)100.0%
Memory size3.5 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
000
371 
L00
 
7
O00
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row000
2nd row000
3rd rowO00
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 371
97.9%
L00 7
 
1.8%
O00 1
 
0.3%

Length

2024-04-22T06:48:20.184756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:20.373831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 371
97.9%
l00 7
 
1.8%
o00 1
 
0.3%

총직원수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
292 
0
87 

Length

Max length4
Median length4
Mean length3.3113456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 292
77.0%
0 87
 
23.0%

Length

2024-04-22T06:48:20.642014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:48:20.836286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
77.0%
0 87
 
23.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
01동물병원02_03_01_P341000034100000102022000320220422<NA>1영업/정상0정상<NA><NA><NA><NA>421-7582<NA><NA>대구광역시 중구 남산동 2118-2 로하스남산 101호대구광역시 중구 남산로6안길 47, 1층 101, 105호 (남산동, 로하스남산)41972남산연합동물병원20220613110145U2022-06-15 02:40:00.0<NA>343206.428866263018.96379동물병원<NA>0000
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_P341000034100000102017000120171222<NA>1영업/정상0정상<NA><NA><NA><NA>803-73700.0<NA>대구광역시 중구 달성동 294-1 달성공원대구광역시 중구 달성공원로 35, 달성공원 (달성동)41924달성공원 동물병원20220808134704U2022-08-10 02:40:00.0<NA>342409.266571264889.665443동물병원<NA>O000
34동물병원02_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>
45동물병원02_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>
56동물병원02_03_01_P341000034100000102004000120041202<NA>1영업/정상0정상<NA><NA><NA><NA>426-173163.57<NA>대구광역시 중구 삼덕동1가 41-14대구광역시 중구 달구벌대로 2145-1(삼덕동1가)41942삼덕종합동물병원20220322143412U2022-03-24 02:40:00.0<NA>344301.578773263914.447359동물병원<NA>0000
67동물병원02_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>
78동물병원02_03_01_P341000034100000102011000120110215<NA>1영업/정상0정상<NA><NA><NA><NA>767-117783.18<NA>대구광역시 중구 대봉동 48-13대구광역시 중구 동덕로 56-3 (대봉동)41952오원석 황금동물병원20220127140718U2022-01-29 02:40:00.0<NA>344869.554112263390.475895동물병원<NA>0000
89동물병원02_03_01_P341000034100000102013000120130724<NA>1영업/정상0정상<NA><NA><NA><NA>053-424-9944122.98<NA>대구광역시 중구 대봉동 715-15대구광역시 중구 대봉로 278 (대봉동)41950대구축산 동물병원20221229104119U2022-12-31 02:40:00.0<NA>344432.563324263763.687867동물병원<NA>0000
910동물병원02_03_01_P341000034100000102015000120150320<NA>1영업/정상0정상<NA><NA><NA><NA>426-75880.0<NA>대구광역시 중구 대신동 305-1 4통4반 태왕아너스스카이 상가 101호, 102호, 103호대구광역시 중구 달구벌대로 1975 (대신동, 태왕아너스스카이 상가 101호, 102호, 103호)41927대구S동물병원20220125132955U2022-01-27 02:40:00.0<NA>342612.164107263922.517239동물병원<NA>0000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분명상세업무구분명권리주체일련번호총직원수
369370동물병원02_03_01_P348000034800000102018000320181213<NA>1영업/정상0정상<NA><NA><NA><NA>710-7582177.5<NA>대구광역시 달성군 다사읍 서재리 181대구광역시 달성군 다사읍 서재로12길 2642928대구착한동물병원20201103170542U2020-11-05 02:40:00.0<NA>334902.49303264106.215422동물병원<NA>000<NA>
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