Overview

Dataset statistics

Number of variables51
Number of observations21
Missing cells628
Missing cells (%)58.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory454.1 B

Variable types

Numeric10
Categorical9
Unsupported28
Text3
DateTime1

Dataset

Description6270000_대구광역시_09_30_18_P_환경컨설팅회사_3월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088937&dataSetDetailId=DDI_0000089005&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
사업장구분명 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 6 (28.6%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
소재지전화 has 9 (42.9%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 7 (33.3%) missing valuesMissing
소재지전체주소 has 2 (9.5%) missing valuesMissing
도로명우편번호 has 4 (19.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 6 (28.6%) missing valuesMissing
좌표정보(Y) has 6 (28.6%) missing valuesMissing
실험실면적 has 21 (100.0%) missing valuesMissing
영업소면적 has 21 (100.0%) missing valuesMissing
위탁업체명 has 21 (100.0%) missing valuesMissing
실험실지역코드 has 21 (100.0%) missing valuesMissing
실험실우편번호 has 21 (100.0%) missing valuesMissing
실험실산 has 21 (100.0%) missing valuesMissing
실험실번지 has 21 (100.0%) missing valuesMissing
실험실호 has 21 (100.0%) missing valuesMissing
실험실통 has 21 (100.0%) missing valuesMissing
실험실반 has 21 (100.0%) missing valuesMissing
실험실특수주소 has 21 (100.0%) missing valuesMissing
실험실특수주소동 has 21 (100.0%) missing valuesMissing
실험실특수주소호 has 21 (100.0%) missing valuesMissing
실험실도로명주소시군구코드 has 21 (100.0%) missing valuesMissing
실험실도로명주소읍면동코드 has 21 (100.0%) missing valuesMissing
실험실도로명주소읍면동구분 has 21 (100.0%) missing valuesMissing
실험실도로명주소코드 has 21 (100.0%) missing valuesMissing
실험실도로명특수주소 has 21 (100.0%) missing valuesMissing
실험실도로명주소건물층구분 has 21 (100.0%) missing valuesMissing
실험실도로명주소건물본번호 has 21 (100.0%) missing valuesMissing
실험실도로명주소건물부번호 has 21 (100.0%) missing valuesMissing
실험실도로명주소우편번호 has 21 (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
소재지면적 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
실험실면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
위탁업체명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실지역코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실산 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실번지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소시군구코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물층구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물본번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 17:45:46.499044
Analysis finished2024-04-21 17:45:47.061931
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-22T02:45:47.163980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-04-22T02:45:47.381605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
환경컨설팅회사
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경컨설팅회사 21
100.0%

Length

2024-04-22T02:45:47.604154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:47.770661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경컨설팅회사 21
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
09_30_18_P
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_18_P
2nd row09_30_18_P
3rd row09_30_18_P
4th row09_30_18_P
5th row09_30_18_P

Common Values

ValueCountFrequency (%)
09_30_18_P 21
100.0%

Length

2024-04-22T02:45:47.939630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:48.103813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_18_p 21
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
6270000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 21
100.0%

Length

2024-04-22T02:45:48.275657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:48.440958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2700002 × 1017
Minimum6.2700002 × 1017
Maximum6.2700002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-22T02:45:48.611169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2700002 × 1017
5-th percentile6.2700002 × 1017
Q16.2700002 × 1017
median6.2700002 × 1017
Q36.2700002 × 1017
95-th percentile6.2700002 × 1017
Maximum6.2700002 × 1017
Range900000
Interquartile range (IQR)600064

Descriptive statistics

Standard deviation330015.31
Coefficient of variation (CV)5.2634018 × 10-13
Kurtosis-1.5972991
Mean6.2700002 × 1017
Median Absolute Deviation (MAD)199936
Skewness-0.22122107
Sum-5.2797436 × 1018
Variance1.089101 × 1011
MonotonicityNot monotonic
2024-04-22T02:45:48.826233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
627000020202000001 1
 
4.8%
627000020201800007 1
 
4.8%
627000020202000003 1
 
4.8%
627000020201800001 1
 
4.8%
627000020201800003 1
 
4.8%
627000020201800004 1
 
4.8%
627000020201700001 1
 
4.8%
627000020201600001 1
 
4.8%
627000020201400001 1
 
4.8%
627000020201200007 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
627000020201200001 1
4.8%
627000020201200002 1
4.8%
627000020201200003 1
4.8%
627000020201200004 1
4.8%
627000020201200005 1
4.8%
627000020201200006 1
4.8%
627000020201200007 1
4.8%
627000020201400001 1
4.8%
627000020201600001 1
4.8%
627000020201700001 1
4.8%
ValueCountFrequency (%)
627000020202100001 1
4.8%
627000020202000003 1
4.8%
627000020202000002 1
4.8%
627000020202000001 1
4.8%
627000020201800007 1
4.8%
627000020201800006 1
4.8%
627000020201800005 1
4.8%
627000020201800004 1
4.8%
627000020201800003 1
4.8%
627000020201800002 1
4.8%

인허가일자
Real number (ℝ)

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20167357
Minimum20120326
Maximum20210118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-22T02:45:49.027157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120326
5-th percentile20120404
Q120120719
median20180501
Q320201014
95-th percentile20210115
Maximum20210118
Range89792
Interquartile range (IQR)80295

Descriptive statistics

Standard deviation35804.919
Coefficient of variation (CV)0.0017753897
Kurtosis-1.7064078
Mean20167357
Median Absolute Deviation (MAD)20729
Skewness-0.33030884
Sum4.235145 × 108
Variance1.2819922 × 109
MonotonicityNot monotonic
2024-04-22T02:45:49.229227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20120404 3
14.3%
20120719 2
 
9.5%
20201228 2
 
9.5%
20201014 1
 
4.8%
20191121 1
 
4.8%
20190902 1
 
4.8%
20180611 1
 
4.8%
20180501 1
 
4.8%
20161108 1
 
4.8%
20140317 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
20120326 1
 
4.8%
20120404 3
14.3%
20120719 2
9.5%
20140317 1
 
4.8%
20140806 1
 
4.8%
20161108 1
 
4.8%
20180404 1
 
4.8%
20180501 1
 
4.8%
20180611 1
 
4.8%
20190902 1
 
4.8%
ValueCountFrequency (%)
20210118 1
4.8%
20210115 1
4.8%
20201230 1
4.8%
20201228 2
9.5%
20201014 1
4.8%
20200818 1
4.8%
20191121 1
4.8%
20190902 1
4.8%
20180611 1
4.8%
20180501 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size317.0 B
Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
3
15 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 15
71.4%
1 6
 
28.6%

Length

2024-04-22T02:45:49.437583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:49.608327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 15
71.4%
1 6
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
폐업
15 
영업/정상

Length

Max length5
Median length2
Mean length2.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 15
71.4%
영업/정상 6
 
28.6%

Length

2024-04-22T02:45:49.806627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:49.995315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
71.4%
영업/정상 6
 
28.6%
Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
Q
15 
N

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Q 15
71.4%
N 6
 
28.6%

Length

2024-04-22T02:45:50.173581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:50.344025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q 15
71.4%
n 6
 
28.6%
Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
폐업
15 
신규

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 15
71.4%
신규 6
 
28.6%

Length

2024-04-22T02:45:50.521116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:45:50.691569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
71.4%
신규 6
 
28.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing6
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean20154667
Minimum20081202
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-22T02:45:50.866791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081202
5-th percentile20102004
Q120120404
median20160324
Q320195258
95-th percentile20203896
Maximum20210129
Range128927
Interquartile range (IQR)74854.5

Descriptive statistics

Standard deviation41873.064
Coefficient of variation (CV)0.0020775865
Kurtosis-1.4252104
Mean20154667
Median Absolute Deviation (MAD)39980
Skewness-0.17136912
Sum3.0232001 × 108
Variance1.7533535 × 109
MonotonicityNot monotonic
2024-04-22T02:45:51.082257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20200304 1
 
4.8%
20120604 1
 
4.8%
20111107 1
 
4.8%
20121120 1
 
4.8%
20120203 1
 
4.8%
20140806 1
 
4.8%
20081202 1
 
4.8%
20110919 1
 
4.8%
20160324 1
 
4.8%
20170228 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 6
28.6%
ValueCountFrequency (%)
20081202 1
4.8%
20110919 1
4.8%
20111107 1
4.8%
20120203 1
4.8%
20120604 1
4.8%
20121120 1
4.8%
20140806 1
4.8%
20160324 1
4.8%
20170228 1
4.8%
20180918 1
4.8%
ValueCountFrequency (%)
20210129 1
4.8%
20201224 1
4.8%
20200709 1
4.8%
20200304 1
4.8%
20190212 1
4.8%
20180918 1
4.8%
20170228 1
4.8%
20160324 1
4.8%
20140806 1
4.8%
20121120 1
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size317.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size317.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size317.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean5.3575366 × 108
Minimum5.3246982 × 108
Maximum5.3957451 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-22T02:45:51.280039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3246982 × 108
5-th percentile5.3288282 × 108
Q15.3511937 × 108
median5.3559825 × 108
Q35.3667604 × 108
95-th percentile5.3871585 × 108
Maximum5.3957451 × 108
Range7104697
Interquartile range (IQR)1556665.8

Descriptive statistics

Standard deviation2017304.1
Coefficient of variation (CV)0.0037653576
Kurtosis-0.00011992836
Mean5.3575366 × 108
Median Absolute Deviation (MAD)1263763.5
Skewness0.20638786
Sum6.4290439 × 109
Variance4.0695158 × 1012
MonotonicityNot monotonic
2024-04-22T02:45:51.468160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
535552126 2
 
9.5%
539574512 1
 
4.8%
537658220 1
 
4.8%
535621606 1
 
4.8%
535636806 1
 
4.8%
536348647 1
 
4.8%
532469815 1
 
4.8%
535574900 1
 
4.8%
538013312 1
 
4.8%
533220727 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
532469815 1
4.8%
533220727 1
4.8%
533821120 1
4.8%
535552126 2
9.5%
535574900 1
4.8%
535621606 1
4.8%
535636806 1
4.8%
536348647 1
4.8%
537658220 1
4.8%
538013312 1
4.8%
ValueCountFrequency (%)
539574512 1
4.8%
538013312 1
4.8%
537658220 1
4.8%
536348647 1
4.8%
535636806 1
4.8%
535621606 1
4.8%
535574900 1
4.8%
535552126 2
9.5%
533821120 1
4.8%
533220727 1
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size317.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing7
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean373000.93
Minimum41028
Maximum704904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-22T02:45:51.659600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41345.2
Q141945.5
median372926.5
Q3703832.25
95-th percentile704854.6
Maximum704904
Range663876
Interquartile range (IQR)661886.75

Descriptive statistics

Standard deviation343481.13
Coefficient of variation (CV)0.92085864
Kurtosis-2.363614
Mean373000.93
Median Absolute Deviation (MAD)330909.5
Skewness2.2266148 × 10-7
Sum5222013
Variance1.1797929 × 1011
MonotonicityNot monotonic
2024-04-22T02:45:51.844240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
703830 2
 
9.5%
43008 1
 
4.8%
41516 1
 
4.8%
41844 1
 
4.8%
42250 1
 
4.8%
703839 1
 
4.8%
704828 1
 
4.8%
704904 1
 
4.8%
703833 1
 
4.8%
702845 1
 
4.8%
Other values (3) 3
14.3%
(Missing) 7
33.3%
ValueCountFrequency (%)
41028 1
4.8%
41516 1
4.8%
41749 1
4.8%
41844 1
4.8%
42250 1
4.8%
42709 1
4.8%
43008 1
4.8%
702845 1
4.8%
703830 2
9.5%
703833 1
4.8%
ValueCountFrequency (%)
704904 1
4.8%
704828 1
4.8%
703839 1
4.8%
703833 1
4.8%
703830 2
9.5%
702845 1
4.8%
43008 1
4.8%
42709 1
4.8%
42250 1
4.8%
41844 1
4.8%

소재지전체주소
Text

MISSING 

Distinct17
Distinct (%)89.5%
Missing2
Missing (%)9.5%
Memory size296.0 B
2024-04-22T02:45:52.463570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length23.210526
Min length18

Characters and Unicode

Total characters441
Distinct characters60
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)78.9%

Sample

1st row대구광역시 달서구 호산동 1-11
2nd row대구광역시 달성군 구지면 응암리 1278-10
3rd row대구광역시 북구 산격동 1806번지
4th row대구광역시 서구 이현동 42-450
5th row대구광역시 서구 중리동 1119-7
ValueCountFrequency (%)
대구광역시 19
21.6%
서구 9
 
10.2%
달서구 4
 
4.5%
중리동 3
 
3.4%
이현동 3
 
3.4%
567번지 2
 
2.3%
북구 2
 
2.3%
평리동 2
 
2.3%
수성구 2
 
2.3%
292호 2
 
2.3%
Other values (38) 40
45.5%
2024-04-22T02:45:53.287159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
20.4%
38
 
8.6%
1 27
 
6.1%
20
 
4.5%
20
 
4.5%
19
 
4.3%
19
 
4.3%
19
 
4.3%
2 15
 
3.4%
13
 
2.9%
Other values (50) 161
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
56.0%
Decimal Number 95
 
21.5%
Space Separator 90
 
20.4%
Dash Punctuation 9
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
15.4%
20
 
8.1%
20
 
8.1%
19
 
7.7%
19
 
7.7%
19
 
7.7%
13
 
5.3%
12
 
4.9%
10
 
4.0%
10
 
4.0%
Other values (38) 67
27.1%
Decimal Number
ValueCountFrequency (%)
1 27
28.4%
2 15
15.8%
0 9
 
9.5%
7 9
 
9.5%
5 8
 
8.4%
9 7
 
7.4%
3 6
 
6.3%
6 5
 
5.3%
4 5
 
5.3%
8 4
 
4.2%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
56.0%
Common 194
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
15.4%
20
 
8.1%
20
 
8.1%
19
 
7.7%
19
 
7.7%
19
 
7.7%
13
 
5.3%
12
 
4.9%
10
 
4.0%
10
 
4.0%
Other values (38) 67
27.1%
Common
ValueCountFrequency (%)
90
46.4%
1 27
 
13.9%
2 15
 
7.7%
0 9
 
4.6%
- 9
 
4.6%
7 9
 
4.6%
5 8
 
4.1%
9 7
 
3.6%
3 6
 
3.1%
6 5
 
2.6%
Other values (2) 9
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
56.0%
ASCII 194
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
46.4%
1 27
 
13.9%
2 15
 
7.7%
0 9
 
4.6%
- 9
 
4.6%
7 9
 
4.6%
5 8
 
4.1%
9 7
 
3.6%
3 6
 
3.1%
6 5
 
2.6%
Other values (2) 9
 
4.6%
Hangul
ValueCountFrequency (%)
38
15.4%
20
 
8.1%
20
 
8.1%
19
 
7.7%
19
 
7.7%
19
 
7.7%
13
 
5.3%
12
 
4.9%
10
 
4.0%
10
 
4.0%
Other values (38) 67
27.1%
Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-22T02:45:53.980299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length27.619048
Min length23

Characters and Unicode

Total characters580
Distinct characters82
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)66.7%

Sample

1st row대구광역시 달서구 달구벌대로 1053, 2층 (호산동)
2nd row대구광역시 달성군 구지면 국가산단대로46길 63
3rd row대구광역시 북구 유통단지로8길 120-1, 3층 (산격동)
4th row대구광역시 서구 와룡로87길 24 (이현동)
5th row대구광역시 서구 와룡로72길 8 (중리동)
ValueCountFrequency (%)
대구광역시 21
 
18.3%
서구 10
 
8.7%
달서구 4
 
3.5%
이현동 4
 
3.5%
와룡로72길 3
 
2.6%
8 3
 
2.6%
중리동 3
 
2.6%
평리동 3
 
2.6%
수성구 3
 
2.6%
북구 2
 
1.7%
Other values (51) 59
51.3%
2024-04-22T02:45:54.928800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/