Overview

Dataset statistics

Number of variables45
Number of observations70
Missing cells883
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory392.8 B

Variable types

Numeric12
Categorical18
Unsupported11
Text3
DateTime1

Dataset

Description6270000_대구광역시_11_48_01_P_승강기유지관리업체_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092270&dataSetDetailId=DDI_0000092267&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업종구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (89.2%)Imbalance
휴업종료일자 is highly imbalanced (89.2%)Imbalance
자산 is highly imbalanced (89.2%)Imbalance
기능직직원수 is highly imbalanced (89.2%)Imbalance
회사구분명 is highly imbalanced (51.7%)Imbalance
인허가취소일자 has 70 (100.0%) missing valuesMissing
폐업일자 has 56 (80.0%) missing valuesMissing
재개업일자 has 70 (100.0%) missing valuesMissing
소재지전화 has 1 (1.4%) missing valuesMissing
소재지면적 has 70 (100.0%) missing valuesMissing
소재지우편번호 has 12 (17.1%) missing valuesMissing
도로명전체주소 has 16 (22.9%) missing valuesMissing
도로명우편번호 has 16 (22.9%) missing valuesMissing
업태구분명 has 70 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.4%) missing valuesMissing
좌표정보(Y) has 1 (1.4%) missing valuesMissing
설계책임기술인력수 has 70 (100.0%) missing valuesMissing
제조책임기술인력수 has 70 (100.0%) missing valuesMissing
임원수 has 70 (100.0%) missing valuesMissing
총직원수 has 10 (14.3%) missing valuesMissing
기술직직원수 has 70 (100.0%) missing valuesMissing
사무직직원수 has 70 (100.0%) missing valuesMissing
기타직원수 has 70 (100.0%) missing valuesMissing
사업자등록번호 has 70 (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
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
설계책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제조책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기술직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사무직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사업자등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유지관리책임인력수 has 1 (1.4%) zerosZeros
총직원수 has 2 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-21 13:30:51.847616
Analysis finished2024-04-21 13:30:52.690933
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-04-21T22:30:52.816966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2024-04-21T22:30:53.069018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size688.0 B
승강기유지관리업체
70 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승강기유지관리업체 70
100.0%

Length

2024-04-21T22:30:53.310012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:53.478321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승강기유지관리업체 70
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size688.0 B
11_48_01_P
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_48_01_P
2nd row11_48_01_P
3rd row11_48_01_P
4th row11_48_01_P
5th row11_48_01_P

Common Values

ValueCountFrequency (%)
11_48_01_P 70
100.0%

Length

2024-04-21T22:30:53.649019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:53.824059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_48_01_p 70
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size688.0 B
6270000
70 

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 70
100.0%

Length

2024-04-21T22:30:53.998899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:54.165989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 70
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.27 × 1011
Minimum6.27 × 1011
Maximum6.27 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-04-21T22:30:54.364733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.27 × 1011
5-th percentile6.27 × 1011
Q16.27 × 1011
median6.27 × 1011
Q36.27 × 1011
95-th percentile6.27 × 1011
Maximum6.27 × 1011
Range99
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation27.95104
Coefficient of variation (CV)4.4579012 × 10-11
Kurtosis-0.84484666
Mean6.27 × 1011
Median Absolute Deviation (MAD)20
Skewness-0.50303863
Sum4.389 × 1013
Variance781.26066
MonotonicityNot monotonic
2024-04-21T22:30:54.626083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627000000009 1
 
1.4%
627000000092 1
 
1.4%
627000000057 1
 
1.4%
627000000066 1
 
1.4%
627000000010 1
 
1.4%
627000000059 1
 
1.4%
627000000048 1
 
1.4%
627000000047 1
 
1.4%
627000000099 1
 
1.4%
627000000056 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
627000000002 1
1.4%
627000000005 1
1.4%
627000000009 1
1.4%
627000000010 1
1.4%
627000000012 1
1.4%
627000000013 1
1.4%
627000000016 1
1.4%
627000000017 1
1.4%
627000000020 1
1.4%
627000000021 1
1.4%
ValueCountFrequency (%)
627000000101 1
1.4%
627000000100 1
1.4%
627000000099 1
1.4%
627000000098 1
1.4%
627000000097 1
1.4%
627000000096 1
1.4%
627000000095 1
1.4%
627000000094 1
1.4%
627000000093 1
1.4%
627000000092 1
1.4%

인허가일자
Real number (ℝ)

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20060676
Minimum19930204
Maximum20211203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-04-21T22:30:54.872700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930204
5-th percentile19930269
Q119990580
median20056058
Q320127720
95-th percentile20200883
Maximum20211203
Range280999
Interquartile range (IQR)137140

Descriptive statistics

Standard deviation86907.479
Coefficient of variation (CV)0.0043322309
Kurtosis-1.1146221
Mean20060676
Median Absolute Deviation (MAD)65730
Skewness0.12626924
Sum1.4042473 × 109
Variance7.5529099 × 109
MonotonicityNot monotonic
2024-04-21T22:30:55.122021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19930220 2
 
2.9%
19930329 2
 
2.9%
19930204 1
 
1.4%
19980609 1
 
1.4%
19970809 1
 
1.4%
19931215 1
 
1.4%
19941001 1
 
1.4%
19970428 1
 
1.4%
20030613 1
 
1.4%
20000201 1
 
1.4%
Other values (58) 58
82.9%
ValueCountFrequency (%)
19930204 1
1.4%
19930209 1
1.4%
19930220 2
2.9%
19930329 2
2.9%
19931215 1
1.4%
19940319 1
1.4%
19941001 1
1.4%
19941123 1
1.4%
19970428 1
1.4%
19970809 1
1.4%
ValueCountFrequency (%)
20211203 1
1.4%
20211025 1
1.4%
20210122 1
1.4%
20201027 1
1.4%
20200708 1
1.4%
20200427 1
1.4%
20200327 1
1.4%
20190715 1
1.4%
20181029 1
1.4%
20181024 1
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size758.0 B
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size688.0 B
1
45 
3
22 
2
 
3

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 (%)
1 45
64.3%
3 22
31.4%
2 3
 
4.3%

Length

2024-04-21T22:30:55.359142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:55.537515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
64.3%
3 22
31.4%
2 3
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size688.0 B
영업/정상
45 
폐업
22 
휴업
 
3

Length

Max length5
Median length5
Mean length3.9285714
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 (%)
영업/정상 45
64.3%
폐업 22
31.4%
휴업 3
 
4.3%

Length

2024-04-21T22:30:55.727442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:55.910677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 45
64.3%
폐업 22
31.4%
휴업 3
 
4.3%
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size688.0 B
1
45 
2
22 
3
 
3

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 (%)
1 45
64.3%
2 22
31.4%
3 3
 
4.3%

Length

2024-04-21T22:30:56.097708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:56.276599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
64.3%
2 22
31.4%
3 3
 
4.3%
Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size688.0 B
인허가
45 
폐지
22 
휴지
 
3

Length

Max length3
Median length3
Mean length2.6428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 45
64.3%
폐지 22
31.4%
휴지 3
 
4.3%

Length

2024-04-21T22:30:56.460309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:56.637028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 45
64.3%
폐지 22
31.4%
휴지 3
 
4.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing56
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean20152786
Minimum20130703
Maximum20200420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-04-21T22:30:56.804906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130703
5-th percentile20136815
Q120140822
median20145607
Q320161048
95-th percentile20180910
Maximum20200420
Range69717
Interquartile range (IQR)20226.25

Descriptive statistics

Standard deviation18392.789
Coefficient of variation (CV)0.00091266727
Kurtosis2.2693765
Mean20152786
Median Absolute Deviation (MAD)5499
Skewness1.4193125
Sum2.8213901 × 108
Variance3.3829467 × 108
MonotonicityNot monotonic
2024-04-21T22:30:57.010386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20200420 1
 
1.4%
20130703 1
 
1.4%
20140829 1
 
1.4%
20140106 1
 
1.4%
20150310 1
 
1.4%
20140826 1
 
1.4%
20160831 1
 
1.4%
20151104 1
 
1.4%
20140821 1
 
1.4%
20161121 1
 
1.4%
Other values (4) 4
 
5.7%
(Missing) 56
80.0%
ValueCountFrequency (%)
20130703 1
1.4%
20140106 1
1.4%
20140421 1
1.4%
20140821 1
1.4%
20140826 1
1.4%
20140829 1
1.4%
20140904 1
1.4%
20150310 1
1.4%
20151104 1
1.4%
20160831 1
1.4%
ValueCountFrequency (%)
20200420 1
1.4%
20170404 1
1.4%
20170210 1
1.4%
20161121 1
1.4%
20160831 1
1.4%
20151104 1
1.4%
20150310 1
1.4%
20140904 1
1.4%
20140829 1
1.4%
20140826 1
1.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size688.0 B
<NA>
69 
20140826
 
1

Length

Max length8
Median length4
Mean length4.0571429
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
98.6%
20140826 1
 
1.4%

Length

2024-04-21T22:30:57.254421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:57.449565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
98.6%
20140826 1
 
1.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size688.0 B
<NA>
69 
20150826
 
1

Length

Max length8
Median length4
Mean length4.0571429
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
98.6%
20150826 1
 
1.4%

Length

2024-04-21T22:30:57.649327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:30:57.842602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
98.6%
20150826 1
 
1.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size758.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)88.4%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.2808297 × 108
Minimum3.2820256 × 108
Maximum7.0873035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-04-21T22:30:58.037937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2820256 × 108
5-th percentile5.3255551 × 108
Q15.3384484 × 108
median5.3584994 × 108
Q35.3744435 × 108
95-th percentile5.3975578 × 108
Maximum7.0873035 × 109
Range6.7591009 × 109
Interquartile range (IQR)3599513

Descriptive statistics

Standard deviation7.8943697 × 108
Coefficient of variation (CV)1.2568992
Kurtosis68.853146
Mean6.2808297 × 108
Median Absolute Deviation (MAD)1594411
Skewness8.2932678
Sum4.3337725 × 1010
Variance6.2321072 × 1017
MonotonicityNot monotonic
2024-04-21T22:30:58.295094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
532555511 3
 
4.3%
533555960 2
 
2.9%
533215674 2
 
2.9%
537444349 2
 
2.9%
535564592 2
 
2.9%
532547332 2
 
2.9%
537678064 2
 
2.9%
536550031 1
 
1.4%
536041214 1
 
1.4%
533833014 1
 
1.4%
Other values (51) 51
72.9%
ValueCountFrequency (%)
328202561 1
 
1.4%
532547332 2
2.9%
532555511 3
4.3%
532873103 1
 
1.4%
532915008 1
 
1.4%
532918297 1
 
1.4%
533215674 2
2.9%
533242844 1
 
1.4%
533555960 2
2.9%
533814518 1
 
1.4%
ValueCountFrequency (%)
7087303470 1
1.4%
553752633 1
1.4%
544720069 1
1.4%
539861234 1
1.4%
539597602 1
1.4%
539573350 1
1.4%
539573304 1
1.4%
539415151 1
1.4%
537922479 1
1.4%
537678064 2
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size758.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)87.9%
Missing12
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean566911.26
Minimum41072
Maximum730853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-04-21T22:30:58.537771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41072
5-th percentile41921.1
Q1701062.25
median702811.5
Q3704918.5
95-th percentile706840.1
Maximum730853
Range689781
Interquartile range (IQR)3856.25

Descriptive statistics

Standard deviation270432.85
Coefficient of variation (CV)0.47702854
Kurtosis0.21146079
Mean566911.26
Median Absolute Deviation (MAD)2105.5
Skewness-1.4840308
Sum32880853
Variance7.3133928 × 1010
MonotonicityNot monotonic
2024-04-21T22:30:58.781121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41940 3
 
4.3%
704932 2
 
2.9%
706820 2
 
2.9%
702811 2
 
2.9%
704940 2
 
2.9%
704914 2
 
2.9%
42632 1
 
1.4%
42738 1
 
1.4%
704150 1
 
1.4%
705810 1
 
1.4%
Other values (41) 41
58.6%
(Missing) 12
 
17.1%
ValueCountFrequency (%)
41072 1
 
1.4%
41260 1
 
1.4%
41814 1
 
1.4%
41940 3
4.3%
42251 1
 
1.4%
42627 1
 
1.4%
42632 1
 
1.4%
42704 1
 
1.4%
42738 1
 
1.4%
42814 1
 
1.4%
ValueCountFrequency (%)
730853 1
1.4%
711813 1
1.4%
706852 1
1.4%
706838 1
1.4%
706820 2
2.9%
705829 1
1.4%
705815 1
1.4%
705810 1
1.4%
704940 2
2.9%
704932 2
2.9%
Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size688.0 B
2024-04-21T22:30:59.917043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.942857
Min length19

Characters and Unicode

Total characters1886
Distinct characters140
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)92.9%

Sample

1st row대구광역시 달서구 본리동 355번지 2호
2nd row대구광역시 달서구 감삼동 578번지 1호
3rd row대구광역시 달서구 죽전동 363-20
4th row대구광역시 서구 평리동 1676번지 평리롯데캐슬상가 201동 401호
5th row대구광역시 중구 삼덕동2가 210-1 진석타워 1109호
ValueCountFrequency (%)
대구광역시 68
 
17.9%
달서구 22
 
5.8%
북구 13
 
3.4%
동구 10
 
2.6%
서구 8
 
2.1%
1호 8
 
2.1%
2호 8
 
2.1%
중구 6
 
1.6%
신천동 5
 
1.3%
수성구 5
 
1.3%
Other values (181) 226
59.6%
2024-04-21T22:31:01.468040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/