Overview

Dataset statistics

Number of variables32
Number of observations603
Missing cells5229
Missing cells (%)27.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory163.2 KiB
Average record size in memory277.2 B

Variable types

Numeric14
Categorical9
Unsupported4
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_03_P_행정사업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089830&dataSetDetailId=DDI_0000089841&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
인허가취소일자 has 603 (100.0%) missing valuesMissing
폐업일자 has 437 (72.5%) missing valuesMissing
휴업시작일자 has 587 (97.3%) missing valuesMissing
휴업종료일자 has 587 (97.3%) missing valuesMissing
재개업일자 has 578 (95.9%) missing valuesMissing
소재지전화 has 170 (28.2%) missing valuesMissing
소재지면적 has 603 (100.0%) missing valuesMissing
소재지우편번호 has 603 (100.0%) missing valuesMissing
소재지전체주소 has 80 (13.3%) missing valuesMissing
도로명전체주소 has 17 (2.8%) missing valuesMissing
도로명우편번호 has 17 (2.8%) missing valuesMissing
업태구분명 has 603 (100.0%) missing valuesMissing
좌표정보(X) has 24 (4.0%) missing valuesMissing
좌표정보(Y) has 24 (4.0%) missing valuesMissing
변경처리일 has 296 (49.1%) 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:53:12.891176
Analysis finished2023-12-10 19:53:13.943111
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302
Minimum1
Maximum603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:14.061422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.1
Q1151.5
median302
Q3452.5
95-th percentile572.9
Maximum603
Range602
Interquartile range (IQR)301

Descriptive statistics

Standard deviation174.21538
Coefficient of variation (CV)0.57687213
Kurtosis-1.2
Mean302
Median Absolute Deviation (MAD)151
Skewness0
Sum182106
Variance30351
MonotonicityStrictly increasing
2023-12-11T04:53:14.291982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
398 1
 
0.2%
400 1
 
0.2%
401 1
 
0.2%
402 1
 
0.2%
403 1
 
0.2%
404 1
 
0.2%
405 1
 
0.2%
406 1
 
0.2%
407 1
 
0.2%
Other values (593) 593
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
603 1
0.2%
602 1
0.2%
601 1
0.2%
600 1
0.2%
599 1
0.2%
598 1
0.2%
597 1
0.2%
596 1
0.2%
595 1
0.2%
594 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
행정사업
603 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정사업 603
100.0%

Length

2023-12-11T04:53:14.529752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:14.681438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정사업 603
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
11_50_03_P
603 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_50_03_P
2nd row11_50_03_P
3rd row11_50_03_P
4th row11_50_03_P
5th row11_50_03_P

Common Values

ValueCountFrequency (%)
11_50_03_P 603
100.0%

Length

2023-12-11T04:53:14.832687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:14.966993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_03_p 603
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449883.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:15.100404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3460000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20439.192
Coefficient of variation (CV)0.005924603
Kurtosis-0.85027373
Mean3449883.9
Median Absolute Deviation (MAD)10000
Skewness-0.60145802
Sum2.08028 × 109
Variance4.1776059 × 108
MonotonicityIncreasing
2023-12-11T04:53:15.277649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 212
35.2%
3470000 90
14.9%
3420000 81
 
13.4%
3450000 70
 
11.6%
3430000 43
 
7.1%
3410000 41
 
6.8%
3480000 40
 
6.6%
3440000 26
 
4.3%
ValueCountFrequency (%)
3410000 41
 
6.8%
3420000 81
 
13.4%
3430000 43
 
7.1%
3440000 26
 
4.3%
3450000 70
 
11.6%
3460000 212
35.2%
3470000 90
14.9%
3480000 40
 
6.6%
ValueCountFrequency (%)
3480000 40
 
6.6%
3470000 90
14.9%
3460000 212
35.2%
3450000 70
 
11.6%
3440000 26
 
4.3%
3430000 43
 
7.1%
3420000 81
 
13.4%
3410000 41
 
6.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.91278 × 1012
Minimum3.4100002 × 1011
Maximum3.4700002 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:15.483057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100002 × 1011
5-th percentile3.4400002 × 1011
Q13.4200002 × 1012
median3.4600002 × 1012
Q33.4800002 × 1012
95-th percentile3.4600002 × 1013
Maximum3.4700002 × 1013
Range3.4359002 × 1013
Interquartile range (IQR)5.9999999 × 1010

Descriptive statistics

Standard deviation1.30511 × 1013
Coefficient of variation (CV)1.3165933
Kurtosis-0.12835546
Mean9.91278 × 1012
Median Absolute Deviation (MAD)3 × 1010
Skewness1.3562507
Sum5.9774063 × 1015
Variance1.7033122 × 1026
MonotonicityNot monotonic
2023-12-11T04:53:15.696451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000020121 1
 
0.2%
3460000201234 1
 
0.2%
346000020125 1
 
0.2%
346000020126 1
 
0.2%
346000020128 1
 
0.2%
34600002013100 1
 
0.2%
34600002013101 1
 
0.2%
34600002013103 1
 
0.2%
34600002013104 1
 
0.2%
34600002013105 1
 
0.2%
Other values (593) 593
98.3%
ValueCountFrequency (%)
341000020121 1
0.2%
341000020123 1
0.2%
341000020124 1
0.2%
341000020125 1
0.2%
341000020126 1
0.2%
341000020127 1
0.2%
341000020128 1
0.2%
341000020129 1
0.2%
342000020121 1
0.2%
342000020122 1
0.2%
ValueCountFrequency (%)
34700002021106 1
0.2%
34700002021105 1
0.2%
34700002021104 1
0.2%
34700002021103 1
0.2%
34700002021102 1
0.2%
34700002021101 1
0.2%
34700002020100 1
0.2%
34600002021228 1
0.2%
34600002021227 1
0.2%
34600002021226 1
0.2%

인허가일자
Real number (ℝ)

Distinct472
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20103076
Minimum19820330
Maximum20210525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:15.886281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820330
5-th percentile19960216
Q120050720
median20120213
Q320170427
95-th percentile20210115
Maximum20210525
Range390195
Interquartile range (IQR)119707

Descriptive statistics

Standard deviation77982.894
Coefficient of variation (CV)0.0038791522
Kurtosis-0.10212588
Mean20103076
Median Absolute Deviation (MAD)59196
Skewness-0.63641539
Sum1.2122155 × 1010
Variance6.0813317 × 109
MonotonicityNot monotonic
2023-12-11T04:53:16.098379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960216 19
 
3.2%
20121227 9
 
1.5%
20121220 7
 
1.2%
20180420 5
 
0.8%
20121228 5
 
0.8%
20121207 5
 
0.8%
20121217 4
 
0.7%
20210415 4
 
0.7%
19960129 3
 
0.5%
20170314 3
 
0.5%
Other values (462) 539
89.4%
ValueCountFrequency (%)
19820330 1
0.2%
19830109 1
0.2%
19840620 1
0.2%
19860311 1
0.2%
19871024 1
0.2%
19890526 1
0.2%
19911025 1
0.2%
19930430 1
0.2%
19940902 1
0.2%
19951106 1
0.2%
ValueCountFrequency (%)
20210525 1
0.2%
20210514 1
0.2%
20210512 1
0.2%
20210510 1
0.2%
20210507 1
0.2%
20210427 2
0.3%
20210423 1
0.2%
20210422 1
0.2%
20210420 2
0.3%
20210419 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
1
419 
3
167 
2
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 419
69.5%
3 167
 
27.7%
2 17
 
2.8%

Length

2023-12-11T04:53:16.323902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:16.466949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 419
69.5%
3 167
 
27.7%
2 17
 
2.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
영업/정상
419 
폐업
167 
휴업
 
17

Length

Max length5
Median length5
Mean length4.0845771
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 419
69.5%
폐업 167
 
27.7%
휴업 17
 
2.8%

Length

2023-12-11T04:53:16.634712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:16.804851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 419
69.5%
폐업 167
 
27.7%
휴업 17
 
2.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
1
419 
3
167 
2
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 419
69.5%
3 167
 
27.7%
2 17
 
2.8%

Length

2023-12-11T04:53:16.988645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:17.156689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 419
69.5%
3 167
 
27.7%
2 17
 
2.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
영업중
419 
폐업
167 
휴업
 
17

Length

Max length3
Median length3
Mean length2.694859
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 419
69.5%
폐업 167
 
27.7%
휴업 17
 
2.8%

Length

2023-12-11T04:53:17.343299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:17.491106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 419
69.5%
폐업 167
 
27.7%
휴업 17
 
2.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)89.2%
Missing437
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean20164463
Minimum20120227
Maximum20210518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:17.673495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120227
5-th percentile20130470
Q120141025
median20160726
Q320190127
95-th percentile20210114
Maximum20210518
Range90291
Interquartile range (IQR)49102.25

Descriptive statistics

Standard deviation25193.279
Coefficient of variation (CV)0.0012493901
Kurtosis-1.1627032
Mean20164463
Median Absolute Deviation (MAD)20205.5
Skewness0.28486985
Sum3.3473008 × 109
Variance6.3470131 × 108
MonotonicityNot monotonic
2023-12-11T04:53:17.956893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 4
 
0.7%
20131227 3
 
0.5%
20200131 2
 
0.3%
20160731 2
 
0.3%
20140721 2
 
0.3%
20160811 2
 
0.3%
20140328 2
 
0.3%
20201231 2
 
0.3%
20210114 2
 
0.3%
20180504 2
 
0.3%
Other values (138) 143
 
23.7%
(Missing) 437
72.5%
ValueCountFrequency (%)
20120227 1
0.2%
20130103 1
0.2%
20130121 1
0.2%
20130206 1
0.2%
20130320 1
0.2%
20130402 1
0.2%
20130403 1
0.2%
20130416 1
0.2%
20130426 1
0.2%
20130601 1
0.2%
ValueCountFrequency (%)
20210518 1
0.2%
20210416 1
0.2%
20210331 1
0.2%
20210326 1
0.2%
20210125 1
0.2%
20210121 1
0.2%
20210115 1
0.2%
20210114 2
0.3%
20210113 1
0.2%
20201231 2
0.3%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing587
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean20137188
Minimum20090123
Maximum20200901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:18.140253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090123
5-th percentile20090123
Q120121231
median20121231
Q320156002
95-th percentile20193418
Maximum20200901
Range110778
Interquartile range (IQR)34770.75

Descriptive statistics

Standard deviation33444.39
Coefficient of variation (CV)0.0016608272
Kurtosis-0.52705443
Mean20137188
Median Absolute Deviation (MAD)14897.5
Skewness0.6026816
Sum3.2219501 × 108
Variance1.1185272 × 109
MonotonicityNot monotonic
2023-12-11T04:53:18.669304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20121231 8
 
1.3%
20090123 2
 
0.3%
20180515 1
 
0.2%
20190924 1
 
0.2%
20200901 1
 
0.2%
20151026 1
 
0.2%
20151228 1
 
0.2%
20170323 1
 
0.2%
(Missing) 587
97.3%
ValueCountFrequency (%)
20090123 2
 
0.3%
20121231 8
1.3%
20151026 1
 
0.2%
20151228 1
 
0.2%
20170323 1
 
0.2%
20180515 1
 
0.2%
20190924 1
 
0.2%
20200901 1
 
0.2%
ValueCountFrequency (%)
20200901 1
 
0.2%
20190924 1
 
0.2%
20180515 1
 
0.2%
20170323 1
 
0.2%
20151228 1
 
0.2%
20151026 1
 
0.2%
20121231 8
1.3%
20090123 2
 
0.3%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)43.8%
Missing587
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean20165460
Minimum20141231
Maximum20220923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:18.833349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20141231
5-th percentile20141231
Q120141231
median20141231
Q320200692
95-th percentile20220854
Maximum20220923
Range79692
Interquartile range (IQR)59460.75

Descriptive statistics

Standard deviation33083.655
Coefficient of variation (CV)0.00164061
Kurtosis-1.4238192
Mean20165460
Median Absolute Deviation (MAD)0
Skewness0.73245383
Sum3.2264735 × 108
Variance1.0945282 × 109
MonotonicityNot monotonic
2023-12-11T04:53:19.019448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20141231 10
 
1.7%
20200514 1
 
0.2%
20220923 1
 
0.2%
20220831 1
 
0.2%
20201225 1
 
0.2%
20201228 1
 
0.2%
20190322 1
 
0.2%
(Missing) 587
97.3%
ValueCountFrequency (%)
20141231 10
1.7%
20190322 1
 
0.2%
20200514 1
 
0.2%
20201225 1
 
0.2%
20201228 1
 
0.2%
20220831 1
 
0.2%
20220923 1
 
0.2%
ValueCountFrequency (%)
20220923 1
 
0.2%
20220831 1
 
0.2%
20201228 1
 
0.2%
20201225 1
 
0.2%
20200514 1
 
0.2%
20190322 1
 
0.2%
20141231 10
1.7%

재개업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing578
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean20173837
Minimum20140128
Maximum20200824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:19.217108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140128
5-th percentile20142272
Q120160512
median20180302
Q320190422
95-th percentile20200360
Maximum20200824
Range60696
Interquartile range (IQR)29910

Descriptive statistics

Standard deviation19886.152
Coefficient of variation (CV)0.0009857397
Kurtosis-1.2992999
Mean20173837
Median Absolute Deviation (MAD)19473
Skewness-0.19764942
Sum5.0434592 × 108
Variance3.9545903 × 108
MonotonicityNot monotonic
2023-12-11T04:53:19.401004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20151021 2
 
0.3%
20190422 1
 
0.2%
20200106 1
 
0.2%
20191108 1
 
0.2%
20180919 1
 
0.2%
20190401 1
 
0.2%
20171128 1
 
0.2%
20200422 1
 
0.2%
20151130 1
 
0.2%
20180627 1
 
0.2%
Other values (14) 14
 
2.3%
(Missing) 578
95.9%
ValueCountFrequency (%)
20140128 1
0.2%
20140310 1
0.2%
20150120 1
0.2%
20151021 2
0.3%
20151130 1
0.2%
20160512 1
0.2%
20160628 1
0.2%
20160829 1
0.2%
20161005 1
0.2%
20170717 1
0.2%
ValueCountFrequency (%)
20200824 1
0.2%
20200422 1
0.2%
20200110 1
0.2%
20200106 1
0.2%
20191108 1
0.2%
20190805 1
0.2%
20190422 1
0.2%
20190401 1
0.2%
20190116 1
0.2%
20181210 1
0.2%

소재지전화
Text

MISSING 

Distinct410
Distinct (%)94.7%
Missing170
Missing (%)28.2%
Memory size4.8 KiB
2023-12-11T04:53:19.818089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.443418
Min length1

Characters and Unicode

Total characters4955
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique390 ?
Unique (%)90.1%

Sample

1st row053-422-7176
2nd row1599-8723
3rd row053-252-0747
4th row053-424-9111
5th row053-425-3412
ValueCountFrequency (%)
053-355-5546 3
 
0.7%
070-4085-9997 3
 
0.7%
0537918484 3
 
0.7%
053-753-3300 2
 
0.5%
053-588-9100 2
 
0.5%
053-791-8484 2
 
0.5%
053-614-1600 2
 
0.5%
053-584-9315 2
 
0.5%
053-634-6633 2
 
0.5%
0537412941 2
 
0.5%
Other values (401) 412
94.7%
2023-12-11T04:53:20.497301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 792
16.0%
0 696
14.0%
3 691
13.9%
- 646
13.0%
7 358
7.2%
2 334
6.7%
6 319
6.4%
4 311
 
6.3%
1 286
 
5.8%
8 265
 
5.3%
Other values (3) 257
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4306
86.9%
Dash Punctuation 646
 
13.0%
Space Separator 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 792
18.4%
0 696
16.2%
3 691
16.0%
7 358
8.3%
2 334
7.8%
6 319
7.4%
4 311
 
7.2%
1 286
 
6.6%
8 265
 
6.2%
9 254
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 646
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4955
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 792
16.0%
0 696
14.0%
3 691
13.9%
- 646
13.0%
7 358
7.2%
2 334
6.7%
6 319
6.4%
4 311
 
6.3%
1 286
 
5.8%
8 265
 
5.3%
Other values (3) 257
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 792
16.0%
0 696
14.0%
3 691
13.9%
- 646
13.0%
7 358
7.2%
2 334
6.7%
6 319
6.4%
4 311
 
6.3%
1 286
 
5.8%
8 265
 
5.3%
Other values (3) 257
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

소재지전체주소
Text

MISSING 

Distinct484
Distinct (%)92.5%
Missing80
Missing (%)13.3%
Memory size4.8 KiB
2023-12-11T04:53:21.066011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length25.59847
Min length12

Characters and Unicode

Total characters13388
Distinct characters257
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)86.8%

Sample

1st row대구광역시 중구 남산동 100-10
2nd row대구광역시 중구 삼덕동1가 8번지 13호
3rd row대구광역시 중구 남산동 694번지 3호 반월당제니스타워 418호
4th row대구광역시 중구 대봉동 47번지 21호
5th row대구광역시 중구 동인동4가 251번지
ValueCountFrequency (%)
대구광역시 523
 
18.1%
수성구 208
 
7.2%
범어동 108
 
3.7%
동구 77
 
2.7%
북구 65
 
2.3%
1호 59
 
2.0%
달서구 51
 
1.8%
서구 41
 
1.4%
달성군 35
 
1.2%
3호 31
 
1.1%
Other values (825) 1688
58.5%
2023-12-11T04:53:21.853670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2368
17.7%
구 1031
 
7.7%
1 669
 
5.0%
동 661
 
4.9%
대 566
 
4.2%
시 538
 
4.0%
광 527
 
3.9%
역 526
 
3.9%
지 477
 
3.6%
호 474
 
3.5%
Other values (247) 5551
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8161
61.0%
Decimal Number 2776
 
20.7%
Space Separator 2368
 
17.7%
Dash Punctuation 62
 
0.5%
Uppercase Letter 18
 
0.1%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1031
 
12.6%
동 661
 
8.1%
대 566
 
6.9%
시 538
 
6.6%
광 527
 
6.5%
역 526
 
6.4%
지 477
 
5.8%
호 474
 
5.8%
번 434
 
5.3%
성 324
 
4.0%
Other values (227) 2603
31.9%
Decimal Number
ValueCountFrequency (%)
1 669
24.1%
2 358
12.9%
0 334
12.0%
3 287
10.3%
4 219
 
7.9%
5 209
 
7.5%
7 200
 
7.2%
9 170
 
6.1%
6 168
 
6.1%
8 162
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 7
38.9%
S 4
22.2%
K 2
 
11.1%
C 2
 
11.1%
T 2
 
11.1%
B 1
 
5.6%
Space Separator
ValueCountFrequency (%)
2368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8161
61.0%
Common 5208
38.9%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1031
 
12.6%
동 661
 
8.1%
대 566
 
6.9%
시 538
 
6.6%
광 527
 
6.5%
역 526
 
6.4%
지 477
 
5.8%
호 474
 
5.8%
번 434
 
5.3%
성 324
 
4.0%
Other values (227) 2603
31.9%
Common
ValueCountFrequency (%)
2368
45.5%
1 669
 
12.8%
2 358
 
6.9%
0 334
 
6.4%
3 287
 
5.5%
4 219
 
4.2%
5 209
 
4.0%
7 200
 
3.8%
9 170
 
3.3%
6 168
 
3.2%
Other values (3) 226
 
4.3%
Latin
ValueCountFrequency (%)
A 7
36.8%
S 4
21.1%
K 2
 
10.5%
C 2
 
10.5%
T 2
 
10.5%
B 1
 
5.3%
b 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8161
61.0%
ASCII 5227
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2368
45.3%
1 669
 
12.8%
2 358
 
6.8%
0 334
 
6.4%
3 287
 
5.5%
4 219
 
4.2%
5 209
 
4.0%
7 200
 
3.8%
9 170
 
3.3%
6 168
 
3.2%
Other values (10) 245
 
4.7%
Hangul
ValueCountFrequency (%)
구 1031
 
12.6%
동 661
 
8.1%
대 566
 
6.9%
시 538
 
6.6%
광 527
 
6.5%
역 526
 
6.4%
지 477
 
5.8%
호 474
 
5.8%
번 434
 
5.3%
성 324
 
4.0%
Other values (227) 2603
31.9%

도로명전체주소
Text

MISSING 

Distinct530
Distinct (%)90.4%
Missing17
Missing (%)2.8%
Memory size4.8 KiB
2023-12-11T04:53:22.472533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length50
Mean length29.854949
Min length19

Characters and Unicode

Total characters17495
Distinct characters297
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

Unique494 ?
Unique (%)84.3%

Sample

1st row대구광역시 중구 국채보상로 677 (동인동2가)
2nd row대구광역시 중구 남산로 85, 대광M타워 4층 7호 (남산동)
3rd row대구광역시 중구 약령길 34, 3층 (계산동2가)
4th row대구광역시 중구 국채보상로142길 33-26 (동인동4가)
5th row대구광역시 중구 동성로5길 20 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 586
 
16.7%
수성구 202
 
5.8%
범어동 106
 
3.0%
달서구 88
 
2.5%
동구 81
 
2.3%
북구 71
 
2.0%
동대구로 66
 
1.9%
서구 42
 
1.2%
중구 41
 
1.2%
달성군 35
 
1.0%
Other values (1022) 2188
62.4%
2023-12-11T04:53:23.510797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2920
 
16.7%
구 1275
 
7.3%
동 889
 
5.1%
대 790
 
4.5%
1 635
 
3.6%
시 615
 
3.5%
광 591
 
3.4%
역 590
 
3.4%
로 577
 
3.3%
) 558
 
3.2%
Other values (287) 8055
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10045
57.4%
Decimal Number 2924
 
16.7%
Space Separator 2920
 
16.7%
Close Punctuation 558
 
3.2%
Open Punctuation 558
 
3.2%
Other Punctuation 376
 
2.1%
Dash Punctuation 94
 
0.5%
Uppercase Letter 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1275
 
12.7%
동 889
 
8.9%
대 790
 
7.9%
시 615
 
6.1%
광 591
 
5.9%
역 590
 
5.9%
로 577
 
5.7%
성 353
 
3.5%
수 244
 
2.4%
길 224
 
2.2%
Other values (263) 3897
38.8%
Decimal Number
ValueCountFrequency (%)
1 635
21.7%
3 396
13.5%
2 393
13.4%
0 343
11.7%
6 233
 
8.0%
7 219
 
7.5%
5 218
 
7.5%
4 215
 
7.4%
8 142
 
4.9%
9 130
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 5
25.0%
S 4
20.0%
T 2
 
10.0%
C 2
 
10.0%
M 2
 
10.0%
L 2
 
10.0%
K 2
 
10.0%
B 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 375
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2920
100.0%
Close Punctuation
ValueCountFrequency (%)
) 558
100.0%
Open Punctuation
ValueCountFrequency (%)
( 558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10045
57.4%
Common 7430
42.5%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1275
 
12.7%
동 889
 
8.9%
대 790
 
7.9%
시 615
 
6.1%
광 591
 
5.9%
역 590
 
5.9%
로 577
 
5.7%
성 353
 
3.5%
수 244
 
2.4%
길 224
 
2.2%
Other values (263) 3897
38.8%
Common
ValueCountFrequency (%)
2920
39.3%
1 635
 
8.5%
) 558
 
7.5%
( 558
 
7.5%
3 396
 
5.3%
2 393
 
5.3%
, 375
 
5.0%
0 343
 
4.6%
6 233
 
3.1%
7 219
 
2.9%
Other values (6) 800
 
10.8%
Latin
ValueCountFrequency (%)
A 5
25.0%
S 4
20.0%
T 2
 
10.0%
C 2
 
10.0%
M 2
 
10.0%
L 2
 
10.0%
K 2
 
10.0%
B 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10045
57.4%
ASCII 7450
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2920
39.2%
1 635
 
8.5%
) 558
 
7.5%
( 558
 
7.5%
3 396
 
5.3%
2 393
 
5.3%
, 375
 
5.0%
0 343
 
4.6%
6 233
 
3.1%
7 219
 
2.9%
Other values (14) 820
 
11.0%
Hangul
ValueCountFrequency (%)
구 1275
 
12.7%
동 889
 
8.9%
대 790
 
7.9%
시 615
 
6.1%
광 591
 
5.9%
역 590
 
5.9%
로 577
 
5.7%
성 353
 
3.5%
수 244
 
2.4%
길 224
 
2.2%
Other values (263) 3897
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct356
Distinct (%)60.8%
Missing17
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean49936.753
Minimum41005
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:23.842223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41146
Q141589.5
median42020
Q342442.75
95-th percentile42962
Maximum711893
Range670888
Interquartile range (IQR)853.25

Descriptive statistics

Standard deviation72061.621
Coefficient of variation (CV)1.4430578
Kurtosis79.423475
Mean49936.753
Median Absolute Deviation (MAD)427
Skewness9.0079421
Sum29262937
Variance5.1928772 × 109
MonotonicityNot monotonic
2023-12-11T04:53:24.087892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42013 41
 
6.8%
42020 23
 
3.8%
42027 11
 
1.8%
41589 9
 
1.5%
41777 6
 
1.0%
41946 6
 
1.0%
42125 5
 
0.8%
41903 5
 
0.8%
42647 5
 
0.8%
42699 5
 
0.8%
Other values (346) 470
77.9%
(Missing) 17
 
2.8%
ValueCountFrequency (%)
41005 2
0.3%
41009 1
0.2%
41018 1
0.2%
41034 1
0.2%
41046 1
0.2%
41047 1
0.2%
41049 1
0.2%
41070 1
0.2%
41075 1
0.2%
41076 2
0.3%
ValueCountFrequency (%)
711893 1
 
0.2%
711851 1
 
0.2%
706817 1
 
0.2%
701828 1
 
0.2%
700261 2
0.3%
700150 1
 
0.2%
43019 1
 
0.2%
43010 4
0.7%
43009 2
0.3%
43008 1
 
0.2%

사업장명
Text

Distinct564
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-11T04:53:24.474154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length9.3665008
Min length1

Characters and Unicode

Total characters5648
Distinct characters306
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique530 ?
Unique (%)87.9%

Sample

1st row허규병영어번역사무소
2nd row우리 행정사 사무소
3rd row조규병행정사사무소
4th row천년문화재행정사사무소
5th row동서행정사사무소
ValueCountFrequency (%)
행정사 164
 
16.1%
사무소 133
 
13.0%
행정사사무소 52
 
5.1%
행정사무소 15
 
1.5%
일반행정사 11
 
1.1%
대경 4
 
0.4%
세무회계 3
 
0.3%
대경연합행정사사무소 3
 
0.3%
대구 3
 
0.3%
대한행정사사무소 3
 
0.3%
Other values (589) 630
61.7%
2023-12-11T04:53:25.037425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1044
18.5%
정 625
 
11.1%
행 573
 
10.1%
무 516
 
9.1%
소 505
 
8.9%
420
 
7.4%
일 84
 
1.5%
이 73
 
1.3%
김 70
 
1.2%
반 69
 
1.2%
Other values (296) 1669
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5161
91.4%
Space Separator 420
 
7.4%
Uppercase Letter 45
 
0.8%
Other Punctuation 6
 
0.1%
Lowercase Letter 5
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1044
20.2%
정 625
12.1%
행 573
 
11.1%
무 516
 
10.0%
소 505
 
9.8%
일 84
 
1.6%
이 73
 
1.4%
김 70
 
1.4%
반 69
 
1.3%
서 48
 
0.9%
Other values (263) 1554
30.1%
Uppercase Letter
ValueCountFrequency (%)
E 7
15.6%
K 6
13.3%
A 4
 
8.9%
I 3
 
6.7%
M 3
 
6.7%
J 3
 
6.7%
S 2
 
4.4%
R 2
 
4.4%
O 2
 
4.4%
N 2
 
4.4%
Other values (10) 11
24.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
a 1
20.0%
i 1
20.0%
z 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 5
83.3%
· 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
420
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5158
91.3%
Common 437
 
7.7%
Latin 50
 
0.9%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1044
20.2%
정 625
12.1%
행 573
 
11.1%
무 516
 
10.0%
소 505
 
9.8%
일 84
 
1.6%
이 73
 
1.4%
김 70
 
1.4%
반 69
 
1.3%
서 48
 
0.9%
Other values (261) 1551
30.1%
Latin
ValueCountFrequency (%)
E 7
14.0%
K 6
 
12.0%
A 4
 
8.0%
I 3
 
6.0%
M 3
 
6.0%
J 3
 
6.0%
S 2
 
4.0%
R 2
 
4.0%
O 2
 
4.0%
l 2
 
4.0%
Other values (14) 16
32.0%
Common
ValueCountFrequency (%)
420
96.1%
& 5
 
1.1%
( 3
 
0.7%
) 3
 
0.7%
1 2
 
0.5%
- 1
 
0.2%
∼ 1
 
0.2%
· 1
 
0.2%
4 1
 
0.2%
Han
ValueCountFrequency (%)
人 2
66.7%
正 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5158
91.3%
ASCII 485
 
8.6%
CJK 3
 
0.1%
Math Operators 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1044
20.2%
정 625
12.1%
행 573
 
11.1%
무 516
 
10.0%
소 505
 
9.8%
일 84
 
1.6%
이 73
 
1.4%
김 70
 
1.4%
반 69
 
1.3%
서 48
 
0.9%
Other values (261) 1551
30.1%
ASCII
ValueCountFrequency (%)
420
86.6%
E 7
 
1.4%
K 6
 
1.2%
& 5
 
1.0%
A 4
 
0.8%
I 3
 
0.6%
( 3
 
0.6%
) 3
 
0.6%
M 3
 
0.6%
J 3
 
0.6%
Other values (21) 28
 
5.8%
CJK
ValueCountFrequency (%)
人 2
66.7%
正 1
33.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161862 × 1013
Minimum2.012121 × 1013
Maximum2.0210525 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:25.266583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.012121 × 1013
5-th percentile2.0121213 × 1013
Q12.0130204 × 1013
median2.0160607 × 1013
Q32.0190529 × 1013
95-th percentile2.0210331 × 1013
Maximum2.0210525 × 1013
Range8.9314957 × 1010
Interquartile range (IQR)6.0324968 × 1010

Descriptive statistics

Standard deviation3.0798109 × 1010
Coefficient of variation (CV)0.0015275429
Kurtosis-1.4231259
Mean2.0161862 × 1013
Median Absolute Deviation (MAD)3.0203067 × 1010
Skewness0.17045946
Sum1.2157603 × 1016
Variance9.4852351 × 1020
MonotonicityNot monotonic
2023-12-11T04:53:25.502995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131230113904 1
 
0.2%
20121231171513 1
 
0.2%
20121214163534 1
 
0.2%
20121214164035 1
 
0.2%
20121214164454 1
 
0.2%
20130128133538 1
 
0.2%
20130808155353 1
 
0.2%
20130128133948 1
 
0.2%
20131008140858 1
 
0.2%
20130128134112 1
 
0.2%
Other values (593) 593
98.3%
ValueCountFrequency (%)
20121210143614 1
0.2%
20121210143849 1
0.2%
20121210152205 1
0.2%
20121210224048 1
0.2%
20121210225559 1
0.2%
20121211152119 1
0.2%
20121211154312 1
0.2%
20121211155351 1
0.2%
20121211164124 1
0.2%
20121211164626 1
0.2%
ValueCountFrequency (%)
20210525100749 1
0.2%
20210518120843 1
0.2%
20210514164400 1
0.2%
20210514160852 1
0.2%
20210512091745 1
0.2%
20210510152407 1
0.2%
20210510093527 1
0.2%
20210504102351 1
0.2%
20210503110322 1
0.2%
20210430171115 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
I
511 
U
92 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 511
84.7%
U 92
 
15.3%

Length

2023-12-11T04:53:25.730765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:25.905988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 511
84.7%
u 92
 
15.3%

데이터갱신일자
Date

Distinct166
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2018-11-26 13:44:42
Maximum2021-05-27 00:22:55
2023-12-11T04:53:26.095826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:53:26.391409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing603
Missing (%)100.0%
Memory size5.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct470
Distinct (%)81.2%
Missing24
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean344160.72
Minimum326871
Maximum358200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:26.653151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326871
5-th percentile334911.34
Q1340781.97
median345367.74
Q3346968.03
95-th percentile352966.58
Maximum358200
Range31329
Interquartile range (IQR)6186.0689

Descriptive statistics

Standard deviation5238.5829
Coefficient of variation (CV)0.015221327
Kurtosis0.98489184
Mean344160.72
Median Absolute Deviation (MAD)2677.1301
Skewness-0.54156125
Sum1.9926906 × 108
Variance27442751
MonotonicityNot monotonic
2023-12-11T04:53:26.863652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346942.691097 13
 
2.2%
346785.888453 6
 
1.0%
346824.368994 5
 
0.8%
342841.529621 5
 
0.8%
352958.852171 5
 
0.8%
345771.939379 5
 
0.8%
344204.522469 5
 
0.8%
340516.092699 5
 
0.8%
346968.034691 4
 
0.7%
347047.853931 4
 
0.7%
Other values (460) 522
86.6%
(Missing) 24
 
4.0%
ValueCountFrequency (%)
326871.0 1
0.2%
327511.362892 1
0.2%
327683.163129 1
0.2%
327723.104095 1
0.2%
327853.173809 2
0.3%
328385.759632 1
0.2%
328437.0 1
0.2%
328454.835468 1
0.2%
330039.817716 1
0.2%
330407.953238 1
0.2%
ValueCountFrequency (%)
358200.0 1
0.2%
356430.936586 1
0.2%
356310.917659 1
0.2%
356294.40891 1
0.2%
356287.192197 1
0.2%
356046.170437 1
0.2%
355943.824177 1
0.2%
355730.852718 1
0.2%
355685.598935 1
0.2%
355626.805785 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct470
Distinct (%)81.2%
Missing24
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean263049.39
Minimum240358.72
Maximum274171.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:27.099685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240358.72
5-th percentile257206.31
Q1261651.34
median263769.89
Q3265028.31
95-th percentile268372.8
Maximum274171.71
Range33812.987
Interquartile range (IQR)3376.9754

Descriptive statistics

Standard deviation4656.8062
Coefficient of variation (CV)0.017703163
Kurtosis9.4033441
Mean263049.39
Median Absolute Deviation (MAD)1489.471
Skewness-2.3255073
Sum1.523056 × 108
Variance21685844
MonotonicityNot monotonic
2023-12-11T04:53:27.341466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263989.847737 13
 
2.2%
263768.205044 6
 
1.0%
263750.37553 5
 
0.8%
266514.126424 5
 
0.8%
261363.555778 5
 
0.8%
263103.285777 5
 
0.8%
265028.313376 5
 
0.8%
263000.352896 5
 
0.8%
263912.825583 4
 
0.7%
263623.058732 4
 
0.7%
Other values (460) 522
86.6%
(Missing) 24
 
4.0%
ValueCountFrequency (%)
240358.722944 2
0.3%
240602.0 1
0.2%
240717.492649 1
0.2%
240775.599214 1
0.2%
240811.478411 1
0.2%
242011.0 1
0.2%
242062.498804 1
0.2%
242138.448546 1
0.2%
242394.720331 1
0.2%
244541.0 1
0.2%
ValueCountFrequency (%)
274171.709713 1
0.2%
273712.082489 2
0.3%
273528.341205 1
0.2%
273233.71206 1
0.2%
272982.687048 1
0.2%
272799.665005 1
0.2%
272699.469218 1
0.2%
272417.0 1
0.2%
272394.002904 1
0.2%
272309.461236 1
0.2%

신고일자
Real number (ℝ)

Distinct472
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20103076
Minimum19820330
Maximum20210525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:27.579346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820330
5-th percentile19960216
Q120050720
median20120213
Q320170427
95-th percentile20210115
Maximum20210525
Range390195
Interquartile range (IQR)119707

Descriptive statistics

Standard deviation77982.894
Coefficient of variation (CV)0.0038791522
Kurtosis-0.10212588
Mean20103076
Median Absolute Deviation (MAD)59196
Skewness-0.63641539
Sum1.2122155 × 1010
Variance6.0813317 × 109
MonotonicityNot monotonic
2023-12-11T04:53:27.818613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960216 19
 
3.2%
20121227 9
 
1.5%
20121220 7
 
1.2%
20180420 5
 
0.8%
20121228 5
 
0.8%
20121207 5
 
0.8%
20121217 4
 
0.7%
20210415 4
 
0.7%
19960129 3
 
0.5%
20170314 3
 
0.5%
Other values (462) 539
89.4%
ValueCountFrequency (%)
19820330 1
0.2%
19830109 1
0.2%
19840620 1
0.2%
19860311 1
0.2%
19871024 1
0.2%
19890526 1
0.2%
19911025 1
0.2%
19930430 1
0.2%
19940902 1
0.2%
19951106 1
0.2%
ValueCountFrequency (%)
20210525 1
0.2%
20210514 1
0.2%
20210512 1
0.2%
20210510 1
0.2%
20210507 1
0.2%
20210427 2
0.3%
20210423 1
0.2%
20210422 1
0.2%
20210420 2
0.3%
20210419 1
0.2%

변경순번
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
296 
1
286 
2
 
17
3
 
4

Length

Max length4
Median length1
Mean length2.4726368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 296
49.1%
1 286
47.4%
2 17
 
2.8%
3 4
 
0.7%

Length

2023-12-11T04:53:28.104237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:28.278794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
49.1%
1 286
47.4%
2 17
 
2.8%
3 4
 
0.7%

변경처리일
Real number (ℝ)

MISSING 

Distinct255
Distinct (%)83.1%
Missing296
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean20167653
Minimum20121230
Maximum20210518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-11T04:53:28.468684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121230
5-th percentile20130101
Q120141108
median20170201
Q320190755
95-th percentile20210182
Maximum20210518
Range89288
Interquartile range (IQR)49647

Descriptive statistics

Standard deviation27063.787
Coefficient of variation (CV)0.0013419403
Kurtosis-1.2578014
Mean20167653
Median Absolute Deviation (MAD)20824
Skewness0.005855176
Sum6.1914695 × 109
Variance7.3244858 × 108
MonotonicityNot monotonic
2023-12-11T04:53:28.698444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130127 7
 
1.2%
20130101 6
 
1.0%
20121231 6
 
1.0%
20121230 5
 
0.8%
20171229 4
 
0.7%
20161230 3
 
0.5%
20190118 3
 
0.5%
20131227 3
 
0.5%
20130128 2
 
0.3%
20150130 2
 
0.3%
Other values (245) 266
44.1%
(Missing) 296
49.1%
ValueCountFrequency (%)
20121230 5
0.8%
20121231 6
1.0%
20130101 6
1.0%
20130127 7
1.2%
20130128 2
 
0.3%
20130206 1
 
0.2%
20130325 1
 
0.2%
20130328 1
 
0.2%
20130402 1
 
0.2%
20130404 1
 
0.2%
ValueCountFrequency (%)
20210518 1
0.2%
20210504 1
0.2%
20210430 1
0.2%
20210427 1
0.2%
20210421 1
0.2%
20210420 1
0.2%
20210419 1
0.2%
20210413 1
0.2%
20210406 2
0.3%
20210405 1
0.2%

행정사종류
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
일반행정사
360 
외국어번역행정사
243 

Length

Max length8
Median length5
Mean length6.2089552
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반행정사
2nd row일반행정사
3rd row외국어번역행정사
4th row일반행정사
5th row일반행정사

Common Values

ValueCountFrequency (%)
일반행정사 360
59.7%
외국어번역행정사 243
40.3%

Length

2023-12-11T04:53:28.918602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:53:29.080057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 360
59.7%
외국어번역행정사 243
40.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)신고일자변경순번변경처리일행정사종류
01행정사업11_50_03_P341000034100002012119830109<NA>3폐업3폐업20131227<NA><NA><NA>053-422-7176<NA><NA><NA>대구광역시 중구 국채보상로 677 (동인동2가)41908허규병영어번역사무소20131230113904I2018-11-26 13:44:42.0<NA>344858.698286264427.36798919830109120131227일반행정사
12행정사업11_50_03_P3410000341000020214420210114<NA>1영업/정상1영업중<NA><NA><NA><NA>1599-8723<NA><NA>대구광역시 중구 남산동 100-10대구광역시 중구 남산로 85, 대광M타워 4층 7호 (남산동)41975우리 행정사 사무소20210114143539I2021-01-16 00:23:15.0<NA>342826.756531263824.29314320210114<NA><NA>일반행정사
23행정사업11_50_03_P3410000341000020121520100907<NA>3폐업3폐업20130206<NA><NA><NA>053-252-0747<NA><NA><NA>대구광역시 중구 약령길 34, 3층 (계산동2가)41933조규병행정사사무소20130206173357I2018-11-26 13:44:42.0<NA>343430.068812264231.39063820100907120130206외국어번역행정사
34행정사업11_50_03_P3410000341000020121620101209<NA>3폐업3폐업20151230<NA><NA><NA>053-424-9111<NA><NA><NA>대구광역시 중구 국채보상로142길 33-26 (동인동4가)41946천년문화재행정사사무소20160108151930I2018-11-26 13:44:42.0<NA>345344.582045264155.79020720101209120160108일반행정사
45행정사업11_50_03_P3410000341000020183520180914<NA>3폐업3폐업20190626<NA><NA><NA>053-425-3412<NA><NA>대구광역시 중구 삼덕동1가 8번지 13호대구광역시 중구 동성로5길 20 (삼덕동1가)41942동서행정사사무소20190626163404U2019-06-28 02:40:00.0<NA>344034.352482264236.30919620180914120190626일반행정사
56행정사업11_50_03_P3410000341000020121720111031<NA>3폐업3폐업20190529<NA><NA><NA>053-252-0402<NA><NA><NA>대구광역시 중구 경상감영길 62 (서성로1가)700261대구행정사사무소20190529170053U2019-05-31 02:40:00.0<NA>343597.874905264638.58135720111031120190529일반행정사
67행정사업11_50_03_P3410000341000020121820121107<NA>3폐업3폐업20131227<NA><NA><NA>053-424-3993<NA><NA><NA>대구광역시 중구 국채보상로140길 18 (동인동2가)41944동흥행정사사무소20131227144346I2018-11-26 13:44:42.0<NA>344995.61613264282.91023720121107120131227일반행정사
78행정사업11_50_03_P3410000341000020121920121227<NA>3폐업3폐업20151210<NA><NA><NA>053-425-5615<NA><NA><NA>대구광역시 중구 국채보상로 572, 403호 (전동)41935유니온행정사사무소20151211084922I2018-11-26 13:44:42.0<NA>343816.020297264554.62315120121227120151210일반행정사
89행정사업11_50_03_P3410000341000020193820090907<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 694번지 3호 반월당제니스타워 418호대구광역시 중구 중앙대로 312, 반월당제니스타워 418호 (남산동)41963정현필 행정사 사무소20190521101648I2019-05-23 02:21:15.0<NA>343807.48339263461.24163120090907120190521일반행정사
910행정사업11_50_03_P3410000341000020193920190917<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 47번지 21호대구광역시 중구 동덕로 54, 304호 (대봉동)41952행정사이상무사무소20191014180502I2019-10-16 00:22:51.0<NA>344880.319985263361.15230620190917120191014일반행정사
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)신고일자변경순번변경처리일행정사종류
593594행정사업11_50_03_P348000034800002012719960216<NA>1영업/정상1영업중<NA><NA><NA><NA>053-611-4979<NA><NA>대구광역시 달성군 논공읍 금포리 1805번지 2호대구광역시 달성군 논공읍 노이길 2711851-20121216155246I2018-11-26 13:44:42.0<NA>328454.835468253673.35989119960216<NA><NA>외국어번역행정사
594595행정사업11_50_03_P3480000348000020162720160608<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가면 음리 241번지대구광역시 달성군 유가면 음동2길 16-442990이상곤 행정사사무소20160608155457I2018-11-26 13:44:42.0<NA>334084.025811244975.00738720160608<NA><NA>일반행정사
595596행정사업11_50_03_P3480000348000020162820160617<NA>1영업/정상1영업중<NA><NA><NA><NA>053-611-8825<NA><NA><NA>대구광역시 달성군 논공읍 논공로7길 30-1742978대경행정사20160617143923I2018-11-26 13:44:42.0<NA>330039.817716248740.27818220160617<NA><NA>일반행정사
596597행정사업11_50_03_P3480000348000020173020140522<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 중리 485번지대구광역시 달성군 현풍면 테크노북로2길 9, 103호42995바른 행정사 사무소20170321173354I2018-11-26 13:44:42.0<NA>331208.0244543.020140522120170321일반행정사
597598행정사업11_50_03_P3480000348000020173120170821<NA>1영업/정상1영업중<NA><NA><NA><NA>053-524-5254<NA><NA><NA>대구광역시 달성군 다사읍 서재로12길 38, 102동 807호 (에코폴리스동화아이위시)42928윈스행정사사무소20170821152142I2018-11-26 13:44:42.0<NA>334890.551707264040.03479520170821<NA><NA>일반행정사
598599행정사업11_50_03_P3480000348000020173220171109<NA>1영업/정상1영업중<NA><NA><NA><NA>0536118456<NA><NA>대구광역시 달성군 논공읍 금포리 2018번지 1호대구광역시 달성군 논공읍 비슬로 178742968행정사 윤태화 사무소20171110094418I2018-11-26 13:44:42.0<NA>328385.759632253672.46263320171109<NA><NA>일반행정사
599600행정사업11_50_03_P3480000348000020173320171215<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 구지면 응암리 1178번지 달성 화성 파크드림대구광역시 달성군 구지면 과학마을로2길 6, 206동 1802호 (달성 화성 파크드림)43009JK행정사20171215094127I2018-11-26 13:44:42.0<NA>327853.173809240358.72294420171215<NA><NA>일반행정사
600601행정사업11_50_03_P3480000348000020183420180601<NA>1영업/정상1영업중<NA><NA><NA><NA>0536144400<NA><NA>대구광역시 달성군 구지면 응암리 1199번지 대구국가산단 반도유보라 아이비파크대구광역시 달성군 구지면 과학마을로3길 14, 107호 (대구국가산단 반도유보라 아이비파크)43008구지태양행정사사무소20180601135646I2018-11-26 13:44:42.0<NA>328437.0240602.020180601<NA><NA>일반행정사
601602행정사업11_50_03_P3480000348000020214120210125<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 원교리 793대구광역시 달성군 현풍읍 현풍서로 12443002대건행정사사무소20210125110443I2021-01-27 00:23:03.0<NA><NA><NA>20210125<NA><NA>일반행정사
602603행정사업11_50_03_P3480000348000020121819960216<NA>3폐업3폐업20170531<NA><NA><NA>053-611-9525<NA><NA>대구광역시 달성군 유가면 유곡리 974번지 2호대구광역시 달성군 유가면 유가2길 2542993곽종식 행정사사무소20170531153216I2018-11-26 13:44:42.0<NA>331531.318456242138.44854619960216120170531일반행정사