Overview

Dataset statistics

Number of variables30
Number of observations2828
Missing cells26148
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.7 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_02_P_유료직업소개소_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000083478&dataSetDetailId=DDI_0000083503&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (75.0%)Imbalance
인허가취소일자 has 2828 (100.0%) missing valuesMissing
폐업일자 has 1685 (59.6%) missing valuesMissing
휴업시작일자 has 2828 (100.0%) missing valuesMissing
휴업종료일자 has 2828 (100.0%) missing valuesMissing
재개업일자 has 2828 (100.0%) missing valuesMissing
소재지전화 has 2413 (85.3%) missing valuesMissing
소재지면적 has 2828 (100.0%) missing valuesMissing
소재지우편번호 has 2032 (71.9%) missing valuesMissing
도로명전체주소 has 761 (26.9%) missing valuesMissing
도로명우편번호 has 1925 (68.1%) missing valuesMissing
업태구분명 has 2828 (100.0%) missing valuesMissing
좌표정보(X) has 173 (6.1%) missing valuesMissing
좌표정보(Y) has 173 (6.1%) 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
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
소재지우편번호 has 80 (2.8%) zerosZeros

Reproduction

Analysis started2024-04-16 08:12:26.515809
Analysis finished2024-04-16 08:12:27.474924
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2828
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1414.5
Minimum1
Maximum2828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:27.526489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile142.35
Q1707.75
median1414.5
Q32121.25
95-th percentile2686.65
Maximum2828
Range2827
Interquartile range (IQR)1413.5

Descriptive statistics

Standard deviation816.51761
Coefficient of variation (CV)0.57724822
Kurtosis-1.2
Mean1414.5
Median Absolute Deviation (MAD)707
Skewness0
Sum4000206
Variance666701
MonotonicityStrictly increasing
2024-04-16T17:12:27.628449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1946 1
 
< 0.1%
1882 1
 
< 0.1%
1883 1
 
< 0.1%
1884 1
 
< 0.1%
1885 1
 
< 0.1%
1886 1
 
< 0.1%
1887 1
 
< 0.1%
1888 1
 
< 0.1%
1889 1
 
< 0.1%
Other values (2818) 2818
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2828 1
< 0.1%
2827 1
< 0.1%
2826 1
< 0.1%
2825 1
< 0.1%
2824 1
< 0.1%
2823 1
< 0.1%
2822 1
< 0.1%
2821 1
< 0.1%
2820 1
< 0.1%
2819 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
유료직업소개소
2828 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료직업소개소 2828
100.0%

Length

2024-04-16T17:12:27.725334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:27.790520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 2828
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
11_50_02_P
2828 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_50_02_P
2nd row11_50_02_P
3rd row11_50_02_P
4th row11_50_02_P
5th row11_50_02_P

Common Values

ValueCountFrequency (%)
11_50_02_P 2828
100.0%

Length

2024-04-16T17:12:27.860878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:27.927370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 2828
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443154.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:27.987321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23117.981
Coefficient of variation (CV)0.0067141869
Kurtosis-1.5069322
Mean3443154.2
Median Absolute Deviation (MAD)20000
Skewness-0.096246328
Sum9.73724 × 109
Variance5.3444103 × 108
MonotonicityIncreasing
2024-04-16T17:12:28.087100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 625
22.1%
3460000 511
18.1%
3420000 458
16.2%
3410000 441
15.6%
3430000 303
10.7%
3440000 223
 
7.9%
3450000 177
 
6.3%
3480000 90
 
3.2%
ValueCountFrequency (%)
3410000 441
15.6%
3420000 458
16.2%
3430000 303
10.7%
3440000 223
 
7.9%
3450000 177
 
6.3%
3460000 511
18.1%
3470000 625
22.1%
3480000 90
 
3.2%
ValueCountFrequency (%)
3480000 90
 
3.2%
3470000 625
22.1%
3460000 511
18.1%
3450000 177
 
6.3%
3440000 223
 
7.9%
3430000 303
10.7%
3420000 458
16.2%
3410000 441
15.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2828
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0068493 × 1018
Minimum1.968341 × 1018
Maximum2.019348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:28.194352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9983444 × 1018
Q12.002347 × 1018
median2.005347 × 1018
Q32.0113453 × 1018
95-th percentile2.018344 × 1018
Maximum2.019348 × 1018
Range5.1007029 × 1016
Interquartile range (IQR)8.9982531 × 1015

Descriptive statistics

Standard deviation6.7617801 × 1015
Coefficient of variation (CV)0.0033693513
Kurtosis5.5640356
Mean2.0068493 × 1018
Median Absolute Deviation (MAD)3.9965005 × 1015
Skewness-0.93236437
Sum-6.2274271 × 1018
Variance4.572167 × 1031
MonotonicityNot monotonic
2024-04-16T17:12:28.306826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2006341006111500001 1
 
< 0.1%
2002346006511500014 1
 
< 0.1%
2003346006511500029 1
 
< 0.1%
2003346006511500030 1
 
< 0.1%
2003346006511500031 1
 
< 0.1%
2003346006511500032 1
 
< 0.1%
2003346006511500033 1
 
< 0.1%
2011346012514500023 1
 
< 0.1%
2011346012514500025 1
 
< 0.1%
2004346006511500018 1
 
< 0.1%
Other values (2818) 2818
99.6%
ValueCountFrequency (%)
1968341008011500001 1
< 0.1%
1969341007911500001 1
< 0.1%
1969341007911500002 1
< 0.1%
1969341007911500003 1
< 0.1%
1969341007911500004 1
< 0.1%
1969341007911500005 1
< 0.1%
1969341007911500006 1
< 0.1%
1969341007911500007 1
< 0.1%
1969341008011500001 1
< 0.1%
1969341008011500002 1
< 0.1%
ValueCountFrequency (%)
2019348036514500009 1
< 0.1%
2019348036514500008 1
< 0.1%
2019348036514500007 1
< 0.1%
2019348036514500006 1
< 0.1%
2019348036514500005 1
< 0.1%
2019348036514500004 1
< 0.1%
2019348036514500003 1
< 0.1%
2019348036514500002 1
< 0.1%
2019348036514500001 1
< 0.1%
2019347018114500018 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1944
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20064068
Minimum19681230
Maximum20191128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:28.421973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19980929
Q120021209
median20051206
Q320110304
95-th percentile20180218
Maximum20191128
Range509898
Interquartile range (IQR)89095

Descriptive statistics

Standard deviation66557.989
Coefficient of variation (CV)0.0033172729
Kurtosis5.9545388
Mean20064068
Median Absolute Deviation (MAD)38904
Skewness-0.97845439
Sum5.6741184 × 1010
Variance4.4299659 × 109
MonotonicityNot monotonic
2024-04-16T17:12:28.560143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20061129 7
 
0.2%
20020429 6
 
0.2%
20060901 6
 
0.2%
20050318 6
 
0.2%
20030729 6
 
0.2%
20061123 6
 
0.2%
20060915 5
 
0.2%
20040723 5
 
0.2%
20040705 5
 
0.2%
Other values (1934) 2768
97.9%
ValueCountFrequency (%)
19681230 1
 
< 0.1%
19690130 1
 
< 0.1%
19690210 1
 
< 0.1%
19690305 4
0.1%
19690311 1
 
< 0.1%
19690325 1
 
< 0.1%
19690409 1
 
< 0.1%
19690410 1
 
< 0.1%
19690517 1
 
< 0.1%
19690925 1
 
< 0.1%
ValueCountFrequency (%)
20191128 2
0.1%
20191112 1
< 0.1%
20191106 1
< 0.1%
20191105 1
< 0.1%
20191103 1
< 0.1%
20191030 2
0.1%
20191021 2
0.1%
20191018 1
< 0.1%
20191016 1
< 0.1%
20191010 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2828
Missing (%)100.0%
Memory size25.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
3
2112 
1
542 
4
 
174

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2112
74.7%
1 542
 
19.2%
4 174
 
6.2%

Length

2024-04-16T17:12:28.674913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:28.745204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2112
74.7%
1 542
 
19.2%
4 174
 
6.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
폐업
2112 
영업/정상
542 
취소/말소/만료/정지/중지
 
174

Length

Max length14
Median length2
Mean length3.3132956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2112
74.7%
영업/정상 542
 
19.2%
취소/말소/만료/정지/중지 174
 
6.2%

Length

2024-04-16T17:12:28.828370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:28.910184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2112
74.7%
영업/정상 542
 
19.2%
취소/말소/만료/정지/중지 174
 
6.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
40
2112 
20
542 
70
 
174

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row40
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 2112
74.7%
20 542
 
19.2%
70 174
 
6.2%

Length

2024-04-16T17:12:29.011690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:29.102707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2112
74.7%
20 542
 
19.2%
70 174
 
6.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
폐업
2112 
영업중
542 
등록취소
 
174

Length

Max length4
Median length2
Mean length2.31471
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2112
74.7%
영업중 542
 
19.2%
등록취소 174
 
6.2%

Length

2024-04-16T17:12:29.197706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:29.291946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2112
74.7%
영업중 542
 
19.2%
등록취소 174
 
6.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct963
Distinct (%)84.3%
Missing1685
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean20112722
Minimum19950714
Maximum20191129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:29.383883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030524
Q120080512
median20110805
Q320151004
95-th percentile20190296
Maximum20191129
Range240415
Interquartile range (IQR)70492.5

Descriptive statistics

Standard deviation48873.775
Coefficient of variation (CV)0.0024299931
Kurtosis-0.41464104
Mean20112722
Median Absolute Deviation (MAD)39608
Skewness-0.28615676
Sum2.2988841 × 1010
Variance2.3886459 × 109
MonotonicityNot monotonic
2024-04-16T17:12:29.491048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 7
 
0.2%
20041022 4
 
0.1%
20070723 4
 
0.1%
20090120 4
 
0.1%
20081229 4
 
0.1%
20161014 4
 
0.1%
20181227 3
 
0.1%
20080612 3
 
0.1%
20051114 3
 
0.1%
20050212 3
 
0.1%
Other values (953) 1104
39.0%
(Missing) 1685
59.6%
ValueCountFrequency (%)
19950714 1
< 0.1%
19960424 1
< 0.1%
19961023 1
< 0.1%
19970109 1
< 0.1%
19970414 1
< 0.1%
19970610 1
< 0.1%
19970630 1
< 0.1%
19980504 2
0.1%
19990901 1
< 0.1%
19990928 1
< 0.1%
ValueCountFrequency (%)
20191129 1
< 0.1%
20191127 1
< 0.1%
20191122 1
< 0.1%
20191106 1
< 0.1%
20191101 1
< 0.1%
20191031 1
< 0.1%
20191029 2
0.1%
20191028 1
< 0.1%
20191025 1
< 0.1%
20191022 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2828
Missing (%)100.0%
Memory size25.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2828
Missing (%)100.0%
Memory size25.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2828
Missing (%)100.0%
Memory size25.0 KiB

소재지전화
Text

MISSING 

Distinct399
Distinct (%)96.1%
Missing2413
Missing (%)85.3%
Memory size22.2 KiB
2024-04-16T17:12:29.690178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.551807
Min length7

Characters and Unicode

Total characters4794
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique386 ?
Unique (%)93.0%

Sample

1st row4242900
2nd row053 422 5006
3rd row053 422 5082
4th row053 939 7770
5th row053 655 8272
ValueCountFrequency (%)
053 359
33.6%
761 13
 
1.2%
611 13
 
1.2%
614 8
 
0.7%
424 7
 
0.7%
744 7
 
0.7%
768 7
 
0.7%
764 7
 
0.7%
753 6
 
0.6%
766 6
 
0.6%
Other values (513) 636
59.5%
2024-04-16T17:12:29.988201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 716
14.9%
703
14.7%
5 701
14.6%
3 612
12.8%
7 362
7.6%
1 341
7.1%
4 313
6.5%
6 309
6.4%
2 303
6.3%
9 238
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4091
85.3%
Space Separator 703
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 716
17.5%
5 701
17.1%
3 612
15.0%
7 362
8.8%
1 341
8.3%
4 313
7.7%
6 309
7.6%
2 303
7.4%
9 238
 
5.8%
8 196
 
4.8%
Space Separator
ValueCountFrequency (%)
703
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 716
14.9%
703
14.7%
5 701
14.6%
3 612
12.8%
7 362
7.6%
1 341
7.1%
4 313
6.5%
6 309
6.4%
2 303
6.3%
9 238
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 716
14.9%
703
14.7%
5 701
14.6%
3 612
12.8%
7 362
7.6%
1 341
7.1%
4 313
6.5%
6 309
6.4%
2 303
6.3%
9 238
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2828
Missing (%)100.0%
Memory size25.0 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct294
Distinct (%)36.9%
Missing2032
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean632016.89
Minimum0
Maximum711891
Zeros80
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:30.102185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703044
Q3705023.25
95-th percentile706838
Maximum711891
Range711891
Interquartile range (IQR)3207.25

Descriptive statistics

Standard deviation212714.14
Coefficient of variation (CV)0.33656402
Kurtosis4.9498685
Mean632016.89
Median Absolute Deviation (MAD)1780.5
Skewness-2.6314595
Sum5.0308544 × 108
Variance4.5247307 × 1010
MonotonicityNot monotonic
2024-04-16T17:12:30.205559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
2.8%
703014 23
 
0.8%
703062 19
 
0.7%
706032 17
 
0.6%
703061 17
 
0.6%
700111 15
 
0.5%
703042 15
 
0.5%
703013 14
 
0.5%
701816 13
 
0.5%
701827 11
 
0.4%
Other values (284) 572
 
20.2%
(Missing) 2032
71.9%
ValueCountFrequency (%)
0 80
2.8%
110541 1
 
< 0.1%
402843 1
 
< 0.1%
700010 1
 
< 0.1%
700082 1
 
< 0.1%
700091 1
 
< 0.1%
700111 15
 
0.5%
700310 1
 
< 0.1%
700351 3
 
0.1%
700411 1
 
< 0.1%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711883 1
 
< 0.1%
711874 3
0.1%
711873 2
0.1%
711872 4
0.1%
711865 1
 
< 0.1%
711853 1
 
< 0.1%
711852 1
 
< 0.1%
711851 1
 
< 0.1%
711843 1
 
< 0.1%

소재지전체주소
Text

Distinct2584
Distinct (%)92.0%
Missing18
Missing (%)0.6%
Memory size22.2 KiB
2024-04-16T17:12:30.516599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.577936
Min length12

Characters and Unicode

Total characters83114
Distinct characters365
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2403 ?
Unique (%)85.5%

Sample

1st row대구광역시 서구 내당동 458번지 46 호 대진맨션 307
2nd row경상남도 창원시 중앙동 26번지 8호 39통 4반
3rd row대구광역시 중구 공평동 14번지 22호 8통 4반
4th row대구광역시 달서구 송현동 240번지 24호 2통 2반
5th row대구광역시 수성구 지산동 1257호 10통 3반 지산화성맨션 101 1007
ValueCountFrequency (%)
대구광역시 2586
 
13.9%
달서구 541
 
2.9%
수성구 475
 
2.6%
동구 412
 
2.2%
1호 365
 
2.0%
서구 332
 
1.8%
북구 248
 
1.3%
남구 244
 
1.3%
중구 213
 
1.1%
1반 202
 
1.1%
Other values (2962) 12959
69.8%
2024-04-16T17:12:30.964311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17929
21.6%
구 5159
 
6.2%
1 4798
 
5.8%
동 3078
 
3.7%
2 3071
 
3.7%
대 2907
 
3.5%
호 2893
 
3.5%
시 2779
 
3.3%
광 2624
 
3.2%
역 2609
 
3.1%
Other values (355) 35267
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44752
53.8%
Decimal Number 20192
24.3%
Space Separator 17929
21.6%
Other Punctuation 84
 
0.1%
Uppercase Letter 53
 
0.1%
Open Punctuation 46
 
0.1%
Close Punctuation 46
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5159
 
11.5%
동 3078
 
6.9%
대 2907
 
6.5%
호 2893
 
6.5%
시 2779
 
6.2%
광 2624
 
5.9%
역 2609
 
5.8%
지 2522
 
5.6%
번 2358
 
5.3%
통 1239
 
2.8%
Other values (328) 16584
37.1%
Decimal Number
ValueCountFrequency (%)
1 4798
23.8%
2 3071
15.2%
3 2238
11.1%
0 2229
11.0%
4 1769
 
8.8%
5 1530
 
7.6%
6 1276
 
6.3%
7 1200
 
5.9%
8 1084
 
5.4%
9 997
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 22
41.5%
A 18
34.0%
C 5
 
9.4%
D 4
 
7.5%
L 2
 
3.8%
H 1
 
1.9%
F 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
a 1
 
16.7%
c 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17929
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44748
53.8%
Common 38303
46.1%
Latin 59
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5159
 
11.5%
동 3078
 
6.9%
대 2907
 
6.5%
호 2893
 
6.5%
시 2779
 
6.2%
광 2624
 
5.9%
역 2609
 
5.8%
지 2522
 
5.6%
번 2358
 
5.3%
통 1239
 
2.8%
Other values (326) 16580
37.1%
Common
ValueCountFrequency (%)
17929
46.8%
1 4798
 
12.5%
2 3071
 
8.0%
3 2238
 
5.8%
0 2229
 
5.8%
4 1769
 
4.6%
5 1530
 
4.0%
6 1276
 
3.3%
7 1200
 
3.1%
8 1084
 
2.8%
Other values (7) 1179
 
3.1%
Latin
ValueCountFrequency (%)
B 22
37.3%
A 18
30.5%
C 5
 
8.5%
D 4
 
6.8%
e 4
 
6.8%
L 2
 
3.4%
H 1
 
1.7%
F 1
 
1.7%
a 1
 
1.7%
c 1
 
1.7%
Han
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44747
53.8%
ASCII 38362
46.2%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17929
46.7%
1 4798
 
12.5%
2 3071
 
8.0%
3 2238
 
5.8%
0 2229
 
5.8%
4 1769
 
4.6%
5 1530
 
4.0%
6 1276
 
3.3%
7 1200
 
3.1%
8 1084
 
2.8%
Other values (17) 1238
 
3.2%
Hangul
ValueCountFrequency (%)
구 5159
 
11.5%
동 3078
 
6.9%
대 2907
 
6.5%
호 2893
 
6.5%
시 2779
 
6.2%
광 2624
 
5.9%
역 2609
 
5.8%
지 2522
 
5.6%
번 2358
 
5.3%
통 1239
 
2.8%
Other values (325) 16579
37.1%
CJK
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1872
Distinct (%)90.6%
Missing761
Missing (%)26.9%
Memory size22.2 KiB
2024-04-16T17:12:31.279704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.528302
Min length19

Characters and Unicode

Total characters58968
Distinct characters352
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1718 ?
Unique (%)83.1%

Sample

1st row대구광역시 서구 당산로 206, 307호 (내당동,대진맨션)
2nd row대구광역시 중구 동성로3길 100-5 (공평동)
3rd row대구광역시 달서구 중흥로5길 20-41 (송현동)
4th row대구광역시 동구 부동길 92 (부동)
5th row대구광역시 서구 국채보상로88길 6-10, 302호 (비산동,한솔빌라)
ValueCountFrequency (%)
대구광역시 1989
 
16.9%
수성구 412
 
3.5%
동구 369
 
3.1%
서구 283
 
2.4%
달서구 279
 
2.4%
2층 270
 
2.3%
북구 204
 
1.7%
남구 195
 
1.7%
중구 155
 
1.3%
대명동 119
 
1.0%
Other values (2486) 7472
63.6%
2024-04-16T17:12:31.710243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9687
 
16.4%
구 4162
 
7.1%
동 2895
 
4.9%
대 2562
 
4.3%
1 2166
 
3.7%
시 2086
 
3.5%
로 2018
 
3.4%
광 2007
 
3.4%
역 1999
 
3.4%
) 1950
 
3.3%
Other values (342) 27436
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33438
56.7%
Decimal Number 9998
 
17.0%
Space Separator 9687
 
16.4%
Close Punctuation 1950
 
3.3%
Open Punctuation 1950
 
3.3%
Other Punctuation 1392
 
2.4%
Dash Punctuation 517
 
0.9%
Uppercase Letter 33
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4162
 
12.4%
동 2895
 
8.7%
대 2562
 
7.7%
시 2086
 
6.2%
로 2018
 
6.0%
광 2007
 
6.0%
역 1999
 
6.0%
길 920
 
2.8%
성 914
 
2.7%
서 744
 
2.2%
Other values (316) 13131
39.3%
Decimal Number
ValueCountFrequency (%)
1 2166
21.7%
2 1837
18.4%
3 1199
12.0%
0 1097
11.0%
4 815
 
8.2%
5 736
 
7.4%
6 639
 
6.4%
7 569
 
5.7%
8 526
 
5.3%
9 414
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 14
42.4%
A 8
24.2%
C 6
18.2%
D 3
 
9.1%
P 1
 
3.0%
S 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 1386
99.6%
/ 2
 
0.1%
. 2
 
0.1%
· 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
9687
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1950
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1950
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 517
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33438
56.7%
Common 25494
43.2%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4162
 
12.4%
동 2895
 
8.7%
대 2562
 
7.7%
시 2086
 
6.2%
로 2018
 
6.0%
광 2007
 
6.0%
역 1999
 
6.0%
길 920
 
2.8%
성 914
 
2.7%
서 744
 
2.2%
Other values (316) 13131
39.3%
Common
ValueCountFrequency (%)
9687
38.0%
1 2166
 
8.5%
) 1950
 
7.6%
( 1950
 
7.6%
2 1837
 
7.2%
, 1386
 
5.4%
3 1199
 
4.7%
0 1097
 
4.3%
4 815
 
3.2%
5 736
 
2.9%
Other values (8) 2671
 
10.5%
Latin
ValueCountFrequency (%)
B 14
38.9%
A 8
22.2%
C 6
16.7%
D 3
 
8.3%
e 2
 
5.6%
P 1
 
2.8%
c 1
 
2.8%
S 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33437
56.7%
ASCII 25528
43.3%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9687
37.9%
1 2166
 
8.5%
) 1950
 
7.6%
( 1950
 
7.6%
2 1837
 
7.2%
, 1386
 
5.4%
3 1199
 
4.7%
0 1097
 
4.3%
4 815
 
3.2%
5 736
 
2.9%
Other values (15) 2705
 
10.6%
Hangul
ValueCountFrequency (%)
구 4162
 
12.4%
동 2895
 
8.7%
대 2562
 
7.7%
시 2086
 
6.2%
로 2018
 
6.0%
광 2007
 
6.0%
역 1999
 
6.0%
길 920
 
2.8%
성 914
 
2.7%
서 744
 
2.2%
Other values (315) 13130
39.3%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct539
Distinct (%)59.7%
Missing1925
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean345026.66
Minimum41047
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:31.822599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41047
5-th percentile41206.1
Q142039.5
median42972
Q3703824
95-th percentile706834.9
Maximum719831
Range678784
Interquartile range (IQR)661784.5

Descriptive statistics

Standard deviation330128.58
Coefficient of variation (CV)0.9568205
Kurtosis-1.9748141
Mean345026.66
Median Absolute Deviation (MAD)1773
Skewness0.17154258
Sum3.1155907 × 108
Variance1.0898488 × 1011
MonotonicityNot monotonic
2024-04-16T17:12:31.924622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 14
 
0.5%
706032 13
 
0.5%
706852 11
 
0.4%
41218 8
 
0.3%
701827 8
 
0.3%
701823 7
 
0.2%
42612 7
 
0.2%
42661 7
 
0.2%
701832 6
 
0.2%
706832 6
 
0.2%
Other values (529) 816
28.9%
(Missing) 1925
68.1%
ValueCountFrequency (%)
41047 1
< 0.1%
41077 1
< 0.1%
41078 1
< 0.1%
41086 1
< 0.1%
41092 1
< 0.1%
41110 1
< 0.1%
41114 1
< 0.1%
41119 1
< 0.1%
41122 2
0.1%
41136 1
< 0.1%
ValueCountFrequency (%)
719831 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711872 4
0.1%
711870 1
 
< 0.1%
711865 1
 
< 0.1%
711856 1
 
< 0.1%
711853 2
0.1%
711851 1
 
< 0.1%
711837 2
0.1%

사업장명
Text

Distinct2368
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
2024-04-16T17:12:32.209692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.6782178
Min length1

Characters and Unicode

Total characters24542
Distinct characters539
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

Unique2062 ?
Unique (%)72.9%

Sample

1st row신화 유료직업소개소
2nd row성림
3rd row태왕
4th row제일
5th row(주)대한인력개발
ValueCountFrequency (%)
유료직업소개소 451
 
13.2%
직업소개소 46
 
1.3%
주식회사 19
 
0.6%
대한유료직업소개소 9
 
0.3%
대성직업소개소 8
 
0.2%
미래직업소개소 8
 
0.2%
신흥 6
 
0.2%
대림인력개발 6
 
0.2%
삼성 6
 
0.2%
제일 6
 
0.2%
Other values (2333) 2850
83.5%
2024-04-16T17:12:32.576078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4188
17.1%
개 2436
 
9.9%
업 2134
 
8.7%
직 2084
 
8.5%
유 1422
 
5.8%
료 1397
 
5.7%
인 606
 
2.5%
589
 
2.4%
력 546
 
2.2%
발 366
 
1.5%
Other values (529) 8774
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23381
95.3%
Space Separator 589
 
2.4%
Open Punctuation 147
 
0.6%
Close Punctuation 147
 
0.6%
Decimal Number 147
 
0.6%
Uppercase Letter 89
 
0.4%
Lowercase Letter 26
 
0.1%
Other Punctuation 14
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4188
17.9%
개 2436
 
10.4%
업 2134
 
9.1%
직 2084
 
8.9%
유 1422
 
6.1%
료 1397
 
6.0%
인 606
 
2.6%
력 546
 
2.3%
발 366
 
1.6%
대 350
 
1.5%
Other values (475) 7852
33.6%
Uppercase Letter
ValueCountFrequency (%)
K 11
12.4%
O 9
10.1%
C 8
 
9.0%
S 8
 
9.0%
J 7
 
7.9%
H 6
 
6.7%
M 5
 
5.6%
F 5
 
5.6%
B 4
 
4.5%
I 4
 
4.5%
Other values (11) 22
24.7%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
k 3
11.5%
s 3
11.5%
n 2
 
7.7%
h 1
 
3.8%
y 1
 
3.8%
b 1
 
3.8%
f 1
 
3.8%
d 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 36
24.5%
1 33
22.4%
0 16
10.9%
3 15
10.2%
5 12
 
8.2%
8 11
 
7.5%
4 6
 
4.1%
7 6
 
4.1%
6 6
 
4.1%
9 6
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 10
71.4%
& 2
 
14.3%
, 1
 
7.1%
' 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 146
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 146
99.3%
] 1
 
0.7%
Space Separator
ValueCountFrequency (%)
589
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23381
95.3%
Common 1046
 
4.3%
Latin 115
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4188
17.9%
개 2436
 
10.4%
업 2134
 
9.1%
직 2084
 
8.9%
유 1422
 
6.1%
료 1397
 
6.0%
인 606
 
2.6%
력 546
 
2.3%
발 366
 
1.6%
대 350
 
1.5%
Other values (475) 7852
33.6%
Latin
ValueCountFrequency (%)
K 11
 
9.6%
O 9
 
7.8%
C 8
 
7.0%
S 8
 
7.0%
J 7
 
6.1%
H 6
 
5.2%
o 6
 
5.2%
M 5
 
4.3%
F 5
 
4.3%
B 4
 
3.5%
Other values (24) 46
40.0%
Common
ValueCountFrequency (%)
589
56.3%
( 146
 
14.0%
) 146
 
14.0%
2 36
 
3.4%
1 33
 
3.2%
0 16
 
1.5%
3 15
 
1.4%
5 12
 
1.1%
8 11
 
1.1%
. 10
 
1.0%
Other values (10) 32
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23381
95.3%
ASCII 1161
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4188
17.9%
개 2436
 
10.4%
업 2134
 
9.1%
직 2084
 
8.9%
유 1422
 
6.1%
료 1397
 
6.0%
인 606
 
2.6%
력 546
 
2.3%
발 366
 
1.6%
대 350
 
1.5%
Other values (475) 7852
33.6%
ASCII
ValueCountFrequency (%)
589
50.7%
( 146
 
12.6%
) 146
 
12.6%
2 36
 
3.1%
1 33
 
2.8%
0 16
 
1.4%
3 15
 
1.3%
5 12
 
1.0%
K 11
 
0.9%
8 11
 
0.9%
Other values (44) 146
 
12.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2828
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.010571 × 1013
Minimum2.0030304 × 1013
Maximum2.0191129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:32.697265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.003041 × 1013
Q12.0060686 × 1013
median2.0090422 × 1013
Q32.0161025 × 1013
95-th percentile2.0190827 × 1013
Maximum2.0191129 × 1013
Range1.6082499 × 1011
Interquartile range (IQR)1.0033945 × 1011

Descriptive statistics

Standard deviation5.539079 × 1010
Coefficient of variation (CV)0.002754978
Kurtosis-1.3419517
Mean2.010571 × 1013
Median Absolute Deviation (MAD)4.0487486 × 1010
Skewness0.30417732
Sum5.6858949 × 1016
Variance3.0681396 × 1021
MonotonicityNot monotonic
2024-04-16T17:12:32.814177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080407105148 1
 
< 0.1%
20030314135055 1
 
< 0.1%
20041025162846 1
 
< 0.1%
20040709102349 1
 
< 0.1%
20060821110426 1
 
< 0.1%
20040922124531 1
 
< 0.1%
20031124094754 1
 
< 0.1%
20191122105819 1
 
< 0.1%
20120423172031 1
 
< 0.1%
20041008171658 1
 
< 0.1%
Other values (2818) 2818
99.6%
ValueCountFrequency (%)
20030304161134 1
< 0.1%
20030305104137 1
< 0.1%
20030305105817 1
< 0.1%
20030305114323 1
< 0.1%
20030305135811 1
< 0.1%
20030305141336 1
< 0.1%
20030305142128 1
< 0.1%
20030305155915 1
< 0.1%
20030305161510 1
< 0.1%
20030305162153 1
< 0.1%
ValueCountFrequency (%)
20191129153139 1
< 0.1%
20191129101055 1
< 0.1%
20191128160705 1
< 0.1%
20191128153331 1
< 0.1%
20191128085701 1
< 0.1%
20191127185224 1
< 0.1%
20191127181810 1
< 0.1%
20191127161754 1
< 0.1%
20191125142221 1
< 0.1%
20191125142117 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
I
2422 
U
406 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2422
85.6%
U 406
 
14.4%

Length

2024-04-16T17:12:32.942753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:33.245148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2422
85.6%
u 406
 
14.4%

데이터갱신일자
Date

Distinct217
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
Minimum2018-08-31 23:59:59
Maximum2019-12-01 02:40:00
2024-04-16T17:12:33.323803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T17:12:33.430770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2828
Missing (%)100.0%
Memory size25.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2125
Distinct (%)80.0%
Missing173
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean342591.05
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:33.538922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331345.79
Q1339922.16
median343315.96
Q3346534.89
95-th percentile354141.27
Maximum545499.31
Range377190.42
Interquartile range (IQR)6612.7226

Descriptive statistics

Standard deviation16306.971
Coefficient of variation (CV)0.047598942
Kurtosis56.536792
Mean342591.05
Median Absolute Deviation (MAD)3315.763
Skewness-4.1176957
Sum9.0957923 × 108
Variance2.6591731 × 108
MonotonicityNot monotonic
2024-04-16T17:12:33.648420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
346073.04865 6
 
0.2%
345383.649328 6
 
0.2%
340310.448893 6
 
0.2%
344686.259338 6
 
0.2%
346942.691097 6
 
0.2%
338608.236268 6
 
0.2%
344041.432985 5
 
0.2%
352371.984834 5
 
0.2%
344056.754607 5
 
0.2%
Other values (2115) 2592
91.7%
(Missing) 173
 
6.1%
ValueCountFrequency (%)
168308.896349869 1
< 0.1%
171923.902989232 1
< 0.1%
184753.989742 1
< 0.1%
191368.286433161 1
< 0.1%
193719.806848 1
< 0.1%
195986.94989341 1
< 0.1%
198010.182437949 1
< 0.1%
201238.133202766 1
< 0.1%
201310.903586376 1
< 0.1%
201606.233404107 1
< 0.1%
ValueCountFrequency (%)
545499.311939125 1
< 0.1%
430227.541656 1
< 0.1%
420238.805073012 1
< 0.1%
419718.881757105 1
< 0.1%
419583.435362801 1
< 0.1%
416495.66416523 1
< 0.1%
416060.183581531 1
< 0.1%
415393.674471635 1
< 0.1%
412630.642028951 1
< 0.1%
412584.662536249 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2125
Distinct (%)80.0%
Missing173
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean264339.21
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.0 KiB
2024-04-16T17:12:33.760741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256883.06
Q1261128.54
median263230.31
Q3265266.02
95-th percentile271000.33
Maximum488962.84
Range330838.62
Interquartile range (IQR)4137.4759

Descriptive statistics

Standard deviation18860.114
Coefficient of variation (CV)0.071348153
Kurtosis68.527584
Mean264339.21
Median Absolute Deviation (MAD)2069.0731
Skewness6.9035556
Sum7.018206 × 108
Variance3.5570391 × 108
MonotonicityNot monotonic
2024-04-16T17:12:33.907606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
264848.319665 6
 
0.2%
267901.294823 6
 
0.2%
265324.291407 6
 
0.2%
263958.880864 6
 
0.2%
263989.847737 6
 
0.2%
259355.47515 6
 
0.2%
264999.77334 5
 
0.2%
266741.708938 5
 
0.2%
265005.160592 5
 
0.2%
Other values (2115) 2592
91.7%
(Missing) 173
 
6.1%
ValueCountFrequency (%)
158124.216614313 1
< 0.1%
177537.623583465 1
< 0.1%
180200.516246681 1
< 0.1%
182245.102093762 1
< 0.1%
186418.353179034 1
< 0.1%
187201.783577746 1
< 0.1%
187432.761894723 1
< 0.1%
187835.921704275 1
< 0.1%
189731.843002717 1
< 0.1%
190121.899476029 1
< 0.1%
ValueCountFrequency (%)
488962.835851351 1
< 0.1%
456413.887015204 1
< 0.1%
453820.523499745 1
< 0.1%
451237.26762392 1
< 0.1%
450775.594404724 1
< 0.1%
449756.675849152 1
< 0.1%
449245.227064126 1
< 0.1%
448123.285204329 1
< 0.1%
448095.301434428 1
< 0.1%
447474.693731311 1
< 0.1%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
개인
2710 
법인
 
118

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row법인

Common Values

ValueCountFrequency (%)
개인 2710
95.8%
법인 118
 
4.2%

Length

2024-04-16T17:12:34.015007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:34.088740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2710
95.8%
법인 118
 
4.2%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
유료
2828 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 2828
100.0%

Length

2024-04-16T17:12:34.159481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T17:12:34.227190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 2828
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200634100611150000120061020<NA>3폐업40폐업20080407<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 458번지 46 호 대진맨션 307대구광역시 서구 당산로 206, 307호 (내당동,대진맨션)<NA>신화 유료직업소개소20080407105148I2018-08-31 23:59:59.0<NA>339804.115846262748.82274개인유료
12유료직업소개소11_50_02_P3410000200534100131150000220050121<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경상남도 창원시 중앙동 26번지 8호 39통 4반<NA><NA>성림20070515180356I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23유료직업소개소11_50_02_P3410000200534100131150000720050422<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 14번지 22호 8통 4반대구광역시 중구 동성로3길 100-5 (공평동)<NA>태왕20070515181432I2018-08-31 23:59:59.0<NA>344316.652696264470.771709개인유료
34유료직업소개소11_50_02_P3410000200534100131150000820050531<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 240번지 24호 2통 2반대구광역시 달서구 중흥로5길 20-41 (송현동)<NA>제일20061222131649I2018-08-31 23:59:59.0<NA>340668.892048260098.185169개인유료
45유료직업소개소11_50_02_P3410000200534100131150000120050111<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 1257호 10통 3반 지산화성맨션 101 1007<NA><NA>(주)대한인력개발20070515181010I2018-08-31 23:59:59.0<NA>347278.348586259519.442238법인유료
56유료직업소개소11_50_02_P3410000200534100131150000920050719<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 부동 226번지 1호 14통 1반대구광역시 동구 부동길 92 (부동)<NA>제21유료직업소개소20070515181252I2018-08-31 23:59:59.0<NA>352371.984834266741.708938개인유료
67유료직업소개소11_50_02_P3410000200534100131150001020051004<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범물동 1285호 4통 5반 용지아파트 306 1304<NA><NA>거목20070515181655I2018-08-31 23:59:59.0<NA>348614.815101258914.170763개인유료
78유료직업소개소11_50_02_P3410000200534100131150001120051101<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 방촌동 1084번지 30호 13통 4반 우방강촌마을 103 1402<NA><NA>스피드골프20060428153133I2018-08-31 23:59:59.0<NA>350354.422142265300.046611개인유료
89유료직업소개소11_50_02_P3410000200534100131150001220051110<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 486번지 2호 15통 3반 삼정그린빌 105 1003<NA><NA>폭스20060117101755I2018-08-31 23:59:59.0<NA>340425.612585262761.163676개인유료
910유료직업소개소11_50_02_P3410000200534100131150001320051111<NA>3폐업40폐업20080128<NA><NA><NA><NA><NA><NA>대구광역시 서구 비산동 163번지 11호 1통 1반 한솔빌라 302대구광역시 서구 국채보상로88길 6-10, 302호 (비산동,한솔빌라)<NA>경동20080131172935I2018-08-31 23:59:59.0<NA>342431.164706264540.411121개인유료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
28182819유료직업소개소11_50_02_P3480000201334803261450000420130910<NA>3폐업40폐업20160908<NA><NA><NA>053 611 1999<NA>711874대구광역시 달성군 현풍면 원교리 1731번지 52호대구광역시 달성군 현풍면 현풍로 10, 2층711874현풍인력 유료직업소개소20160909165744I2018-08-31 23:59:59.0<NA>330171.957223244870.429001개인유료
28192820유료직업소개소11_50_02_P3480000201334803261450000520131015<NA>3폐업40폐업20160620<NA><NA><NA><NA><NA>711874대구광역시 달성군 현풍면 하리 249번지 28호대구광역시 달성군 현풍면 비슬로120길 23711874제일개발인력 유료직업소개소20160620130048I2018-08-31 23:59:59.0<NA>330658.653379244623.641022개인유료
28202821유료직업소개소11_50_02_P3480000201834803581450000320180125<NA>3폐업40폐업20180612<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1527번지 5호대구광역시 달성군 다사읍 대실역북로4길 642911디에스텍20180612112714I2018-08-31 23:59:59.0<NA>332391.154209263678.985881개인유료
28212822유료직업소개소11_50_02_P3480000200734802811150000220070402<NA>3폐업40폐업20090514<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍면 원교리 70호대구광역시 달성군 현풍면 비슬로128길 18-2<NA>(주)오천건설20090515133748I2018-08-31 23:59:59.0<NA>330290.979973244698.432865법인유료
28222823유료직업소개소11_50_02_P3480000200734802811150000320070410<NA>3폐업40폐업20120201<NA><NA><NA>053 586 9708<NA>711813대구광역시 달성군 다사읍 서재리 139번지 1호<NA><NA>서재유료직업소개소20120201144919I2018-08-31 23:59:59.0<NA>335186.778586265044.867747개인유료
28232824유료직업소개소11_50_02_P3480000200934802811450000320090903<NA>3폐업40폐업20100126<NA><NA><NA>053 611 9599<NA>711873대구광역시 달성군 현풍면 중리 91번지 3호대구광역시 달성군 현풍면 현풍로24길 16<NA>세원유료직업소개소20100127111428I2018-08-31 23:59:59.0<NA>331285.10999245050.08279개인유료
28242825유료직업소개소11_50_02_P3480000200934802811450000420091104<NA>3폐업40폐업20150911<NA><NA><NA><NA><NA>711872대구광역시 달성군 현풍면 부리 271번지 17호대구광역시 달성군 현풍면 현풍중앙로 114711872한보유료직업소개소20150911132607I2018-08-31 23:59:59.0<NA>330334.509299245287.116616개인유료
28252826유료직업소개소11_50_02_P3480000201034802811450000220100524<NA>3폐업40폐업20130625<NA><NA><NA><NA><NA>711852대구광역시 달성군 논공읍 남리 1072번지대구광역시 달성군 논공읍 논공로7길 30-16711853합동유료직업소개소20130626103522I2018-08-31 23:59:59.0<NA>330036.774848248710.690914개인유료
28262827유료직업소개소11_50_02_P3480000201034802811450000320100716<NA>3폐업40폐업20160607<NA><NA><NA>053 611 1110<NA>711874대구광역시 달성군 현풍면 하리 195번지대구광역시 달성군 현풍면 현풍중앙로 50711872쌍용개발유료직업소개소20160609111235I2018-08-31 23:59:59.0<NA>330680.918676244756.049922개인유료
28272828유료직업소개소11_50_02_P3480000201434803261450000120140117<NA>3폐업40폐업20141229<NA><NA><NA>053 768 7395<NA>711865대구광역시 달성군 가창면 용계리 69번지 4호대구광역시 달성군 가창면 가창로 1097711865경일유료직업소개소20141229154839I2018-08-31 23:59:59.0<NA>346564.465283256962.407489개인유료