Overview

Dataset statistics

Number of variables30
Number of observations2978
Missing cells27439
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory750.4 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_02_P_유료직업소개소_4월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089559&dataSetDetailId=DDI_0000089589&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (73.7%)Imbalance
인허가취소일자 has 2978 (100.0%) missing valuesMissing
폐업일자 has 1755 (58.9%) missing valuesMissing
휴업시작일자 has 2978 (100.0%) missing valuesMissing
휴업종료일자 has 2978 (100.0%) missing valuesMissing
재개업일자 has 2978 (100.0%) missing valuesMissing
소재지전화 has 2544 (85.4%) missing valuesMissing
소재지면적 has 2978 (100.0%) missing valuesMissing
소재지우편번호 has 2231 (74.9%) missing valuesMissing
도로명전체주소 has 758 (25.5%) missing valuesMissing
도로명우편번호 has 1921 (64.5%) missing valuesMissing
업태구분명 has 2978 (100.0%) missing valuesMissing
좌표정보(X) has 172 (5.8%) missing valuesMissing
좌표정보(Y) has 172 (5.8%) 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 71 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-10 17:31:40.105222
Analysis finished2023-12-10 17:31:42.205957
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2978
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1489.5
Minimum1
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:42.500230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile149.85
Q1745.25
median1489.5
Q32233.75
95-th percentile2829.15
Maximum2978
Range2977
Interquartile range (IQR)1488.5

Descriptive statistics

Standard deviation859.81888
Coefficient of variation (CV)0.57725336
Kurtosis-1.2
Mean1489.5
Median Absolute Deviation (MAD)744.5
Skewness0
Sum4435731
Variance739288.5
MonotonicityStrictly increasing
2023-12-11T02:31:42.879118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1990 1
 
< 0.1%
1981 1
 
< 0.1%
1982 1
 
< 0.1%
1983 1
 
< 0.1%
1984 1
 
< 0.1%
1985 1
 
< 0.1%
1986 1
 
< 0.1%
1987 1
 
< 0.1%
1988 1
 
< 0.1%
Other values (2968) 2968
99.7%
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 (%)
2978 1
< 0.1%
2977 1
< 0.1%
2976 1
< 0.1%
2975 1
< 0.1%
2974 1
< 0.1%
2973 1
< 0.1%
2972 1
< 0.1%
2971 1
< 0.1%
2970 1
< 0.1%
2969 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
유료직업소개소
2978 

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 2978
100.0%

Length

2023-12-11T02:31:43.239876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:43.500028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 2978
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
11_50_02_P
2978 

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 2978
100.0%

Length

2023-12-11T02:31:43.775562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:44.037068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 2978
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443425.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:44.248175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23103.685
Coefficient of variation (CV)0.0067095069
Kurtosis-1.4969311
Mean3443425.1
Median Absolute Deviation (MAD)20000
Skewness-0.10324336
Sum1.025452 × 1010
Variance5.3378025 × 108
MonotonicityIncreasing
2023-12-11T02:31:44.551097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 662
22.2%
3460000 524
17.6%
3420000 490
16.5%
3410000 448
15.0%
3430000 312
10.5%
3440000 235
 
7.9%
3450000 202
 
6.8%
3480000 105
 
3.5%
ValueCountFrequency (%)
3410000 448
15.0%
3420000 490
16.5%
3430000 312
10.5%
3440000 235
 
7.9%
3450000 202
 
6.8%
3460000 524
17.6%
3470000 662
22.2%
3480000 105
 
3.5%
ValueCountFrequency (%)
3480000 105
 
3.5%
3470000 662
22.2%
3460000 524
17.6%
3450000 202
 
6.8%
3440000 235
 
7.9%
3430000 312
10.5%
3420000 490
16.5%
3410000 448
15.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2978
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0075405 × 1018
Minimum1.968341 × 1018
Maximum2.021348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:44.899902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998347 × 1018
Q12.003342 × 1018
median2.006344 × 1018
Q32.012347 × 1018
95-th percentile2.019348 × 1018
Maximum2.021348 × 1018
Range5.3007029 × 1016
Interquartile range (IQR)9.0050059 × 1015

Descriptive statistics

Standard deviation7.2400155 × 1015
Coefficient of variation (CV)0.0036064108
Kurtosis4.0357686
Mean2.0075405 × 1018
Median Absolute Deviation (MAD)4.0019956 × 1015
Skewness-0.66613318
Sum1.7103984 × 1018
Variance5.2417824 × 1031
MonotonicityNot monotonic
2023-12-11T02:31:45.310925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2006341001311500007 1
 
< 0.1%
2011346012514500010 1
 
< 0.1%
2003346006511500008 1
 
< 0.1%
2003346006511500009 1
 
< 0.1%
2003346006511500010 1
 
< 0.1%
2003346006511500011 1
 
< 0.1%
2003346006511500012 1
 
< 0.1%
2003346006511500013 1
 
< 0.1%
2003346006511500014 1
 
< 0.1%
2011346012514500008 1
 
< 0.1%
Other values (2968) 2968
99.7%
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 (%)
2021348036514500001 1
< 0.1%
2021347018114500013 1
< 0.1%
2021347018114500012 1
< 0.1%
2021347018114500011 1
< 0.1%
2021347018114500010 1
< 0.1%
2021347018114500009 1
< 0.1%
2021347018114500008 1
< 0.1%
2021347018114500007 1
< 0.1%
2021347018114500006 1
< 0.1%
2021347018114500005 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2044
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20070662
Minimum19681230
Maximum20210428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:45.692548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19981021
Q120030247
median20060405
Q320120319
95-th percentile20190911
Maximum20210428
Range529198
Interquartile range (IQR)90072.25

Descriptive statistics

Standard deviation71151.605
Coefficient of variation (CV)0.0035450552
Kurtosis4.3807775
Mean20070662
Median Absolute Deviation (MAD)40087.5
Skewness-0.69687413
Sum5.9770433 × 1010
Variance5.062551 × 109
MonotonicityNot monotonic
2023-12-11T02:31:46.155484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20061129 7
 
0.2%
20050318 6
 
0.2%
20030729 6
 
0.2%
20061123 6
 
0.2%
20020429 6
 
0.2%
20060901 6
 
0.2%
19980903 5
 
0.2%
20051122 5
 
0.2%
20050502 5
 
0.2%
Other values (2034) 2918
98.0%
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 (%)
20210428 1
 
< 0.1%
20210420 1
 
< 0.1%
20210419 1
 
< 0.1%
20210415 2
0.1%
20210413 1
 
< 0.1%
20210412 3
0.1%
20210408 1
 
< 0.1%
20210407 2
0.1%
20210402 1
 
< 0.1%
20210323 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2978
Missing (%)100.0%
Memory size26.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
3
2188 
1
610 
4
 
180

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 2188
73.5%
1 610
 
20.5%
4 180
 
6.0%

Length

2023-12-11T02:31:46.496474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:46.778403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2188
73.5%
1 610
 
20.5%
4 180
 
6.0%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
폐업
2188 
영업/정상
610 
취소/말소/만료/정지/중지
 
180

Length

Max length14
Median length2
Mean length3.3398254
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2188
73.5%
영업/정상 610
 
20.5%
취소/말소/만료/정지/중지 180
 
6.0%

Length

2023-12-11T02:31:47.042270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:47.290234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2188
73.5%
영업/정상 610
 
20.5%
취소/말소/만료/정지/중지 180
 
6.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
40
2188 
20
610 
70
 
180

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 2188
73.5%
20 610
 
20.5%
70 180
 
6.0%

Length

2023-12-11T02:31:47.644139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:48.361484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2188
73.5%
20 610
 
20.5%
70 180
 
6.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
폐업
2188 
영업중
610 
등록취소
 
180

Length

Max length4
Median length2
Mean length2.325722
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2188
73.5%
영업중 610
 
20.5%
등록취소 180
 
6.0%

Length

2023-12-11T02:31:48.610778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:48.865455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2188
73.5%
영업중 610
 
20.5%
등록취소 180
 
6.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct1030
Distinct (%)84.2%
Missing1755
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean20118505
Minimum19950714
Maximum20210420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:49.142422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030710
Q120080718
median20120116
Q320161014
95-th percentile20200216
Maximum20210420
Range259706
Interquartile range (IQR)80295.5

Descriptive statistics

Standard deviation52071.211
Coefficient of variation (CV)0.0025882247
Kurtosis-0.5439634
Mean20118505
Median Absolute Deviation (MAD)39896
Skewness-0.23332304
Sum2.4604931 × 1010
Variance2.711411 × 109
MonotonicityNot monotonic
2023-12-11T02:31:49.547530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 7
 
0.2%
20070723 4
 
0.1%
20161014 4
 
0.1%
20041022 4
 
0.1%
20090120 4
 
0.1%
20081229 4
 
0.1%
20200525 3
 
0.1%
20090416 3
 
0.1%
20080423 3
 
0.1%
20181227 3
 
0.1%
Other values (1020) 1184
39.8%
(Missing) 1755
58.9%
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 (%)
20210420 1
< 0.1%
20210419 1
< 0.1%
20210409 1
< 0.1%
20210330 1
< 0.1%
20210315 1
< 0.1%
20210204 1
< 0.1%
20210202 1
< 0.1%
20210129 1
< 0.1%
20210120 1
< 0.1%
20210119 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2978
Missing (%)100.0%
Memory size26.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2978
Missing (%)100.0%
Memory size26.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2978
Missing (%)100.0%
Memory size26.3 KiB

소재지전화
Text

MISSING 

Distinct414
Distinct (%)95.4%
Missing2544
Missing (%)85.4%
Memory size23.4 KiB
2023-12-11T02:31:50.242002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.513825
Min length5

Characters and Unicode

Total characters4997
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

Unique397 ?
Unique (%)91.5%

Sample

1st row053 422 5006
2nd row053 655 8272
3rd row053 524 5000
4th row053 254 7882
5th row4221116
ValueCountFrequency (%)
053 369
33.3%
611 13
 
1.2%
761 13
 
1.2%
614 8
 
0.7%
764 7
 
0.6%
768 7
 
0.6%
424 7
 
0.6%
744 7
 
0.6%
753 6
 
0.5%
766 6
 
0.5%
Other values (530) 665
60.0%
2023-12-11T02:31:51.158915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 750
15.0%
5 742
14.8%
723
14.5%
3 637
12.7%
7 382
7.6%
1 349
7.0%
6 324
6.5%
4 323
6.5%
2 317
6.3%
9 246
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4274
85.5%
Space Separator 723
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 750
17.5%
5 742
17.4%
3 637
14.9%
7 382
8.9%
1 349
8.2%
6 324
7.6%
4 323
7.6%
2 317
7.4%
9 246
 
5.8%
8 204
 
4.8%
Space Separator
ValueCountFrequency (%)
723
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4997
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 750
15.0%
5 742
14.8%
723
14.5%
3 637
12.7%
7 382
7.6%
1 349
7.0%
6 324
6.5%
4 323
6.5%
2 317
6.3%
9 246
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 750
15.0%
5 742
14.8%
723
14.5%
3 637
12.7%
7 382
7.6%
1 349
7.0%
6 324
6.5%
4 323
6.5%
2 317
6.3%
9 246
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2978
Missing (%)100.0%
Memory size26.3 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct284
Distinct (%)38.0%
Missing2231
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean635776.69
Minimum0
Maximum711891
Zeros71
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:51.495635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703042
Q3705031.5
95-th percentile706840.8
Maximum711891
Range711891
Interquartile range (IQR)3215.5

Descriptive statistics

Standard deviation207624.93
Coefficient of variation (CV)0.32656896
Kurtosis5.4915406
Mean635776.69
Median Absolute Deviation (MAD)1783
Skewness-2.7316276
Sum4.7492519 × 108
Variance4.3108114 × 1010
MonotonicityNot monotonic
2023-12-11T02:31:51.815323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
2.4%
703014 23
 
0.8%
703062 18
 
0.6%
703061 17
 
0.6%
706032 17
 
0.6%
703042 15
 
0.5%
700111 15
 
0.5%
703013 14
 
0.5%
701816 13
 
0.4%
701827 11
 
0.4%
Other values (274) 533
 
17.9%
(Missing) 2231
74.9%
ValueCountFrequency (%)
0 71
2.4%
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

Distinct2720
Distinct (%)91.9%
Missing18
Missing (%)0.6%
Memory size23.4 KiB
2023-12-11T02:31:52.584886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.147635
Min length12

Characters and Unicode

Total characters86277
Distinct characters372
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

Unique2528 ?
Unique (%)85.4%

Sample

1st row대구광역시 달서구 월성동 1261호 24통 5반 월성자이 103 1901
2nd row대구광역시 중구 태평로1가 5번지 6 호
3rd row대구광역시 달서구 송현동 2015번지 16호 4통 4반
4th row대구광역시 수성구 범어동 2082호 5통 4반
5th row대구광역시 북구 읍내동 1366번지 2호 52통 2반 보성맨션 103 503
ValueCountFrequency (%)
대구광역시 2737
 
14.2%
달서구 579
 
3.0%
수성구 491
 
2.5%
동구 442
 
2.3%
1호 373
 
1.9%
서구 343
 
1.8%
북구 273
 
1.4%
남구 256
 
1.3%
중구 219
 
1.1%
1반 204
 
1.1%
Other values (3089) 13341
69.3%
2023-12-11T02:31:53.715857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18460
21.4%
구 5450
 
6.3%
1 4952
 
5.7%
동 3248
 
3.8%
2 3148
 
3.6%
대 3071
 
3.6%
시 2931
 
3.4%
호 2930
 
3.4%
광 2776
 
3.2%
역 2760
 
3.2%
Other values (362) 36551
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46559
54.0%
Decimal Number 20903
24.2%
Space Separator 18460
 
21.4%
Dash Punctuation 116
 
0.1%
Other Punctuation 84
 
0.1%
Uppercase Letter 58
 
0.1%
Open Punctuation 45
 
0.1%
Close Punctuation 45
 
0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5450
 
11.7%
동 3248
 
7.0%
대 3071
 
6.6%
시 2931
 
6.3%
호 2930
 
6.3%
광 2776
 
6.0%
역 2760
 
5.9%
지 2560
 
5.5%
번 2389
 
5.1%
통 1241
 
2.7%
Other values (331) 17203
36.9%
Uppercase Letter
ValueCountFrequency (%)
B 22
37.9%
A 18
31.0%
C 5
 
8.6%
D 4
 
6.9%
L 2
 
3.4%
G 2
 
3.4%
H 1
 
1.7%
P 1
 
1.7%
F 1
 
1.7%
M 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 4952
23.7%
2 3148
15.1%
3 2312
11.1%
0 2306
11.0%
4 1837
 
8.8%
5 1595
 
7.6%
6 1333
 
6.4%
7 1257
 
6.0%
8 1121
 
5.4%
9 1042
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
71.4%
a 1
 
14.3%
c 1
 
14.3%
Space Separator
ValueCountFrequency (%)
18460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46555
54.0%
Common 39653
46.0%
Latin 65
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5450
 
11.7%
동 3248
 
7.0%
대 3071
 
6.6%
시 2931
 
6.3%
호 2930
 
6.3%
광 2776
 
6.0%
역 2760
 
5.9%
지 2560
 
5.5%
번 2389
 
5.1%
통 1241
 
2.7%
Other values (329) 17199
36.9%
Common
ValueCountFrequency (%)
18460
46.6%
1 4952
 
12.5%
2 3148
 
7.9%
3 2312
 
5.8%
0 2306
 
5.8%
4 1837
 
4.6%
5 1595
 
4.0%
6 1333
 
3.4%
7 1257
 
3.2%
8 1121
 
2.8%
Other values (7) 1332
 
3.4%
Latin
ValueCountFrequency (%)
B 22
33.8%
A 18
27.7%
e 5
 
7.7%
C 5
 
7.7%
D 4
 
6.2%
L 2
 
3.1%
G 2
 
3.1%
H 1
 
1.5%
P 1
 
1.5%
a 1
 
1.5%
Other values (4) 4
 
6.2%
Han
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46554
54.0%
ASCII 39718
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18460
46.5%
1 4952
 
12.5%
2 3148
 
7.9%
3 2312
 
5.8%
0 2306
 
5.8%
4 1837
 
4.6%
5 1595
 
4.0%
6 1333
 
3.4%
7 1257
 
3.2%
8 1121
 
2.8%
Other values (21) 1397
 
3.5%
Hangul
ValueCountFrequency (%)
구 5450
 
11.7%
동 3248
 
7.0%
대 3071
 
6.6%
시 2931
 
6.3%
호 2930
 
6.3%
광 2776
 
6.0%
역 2760
 
5.9%
지 2560
 
5.5%
번 2389
 
5.1%
통 1241
 
2.7%
Other values (328) 17198
36.9%
CJK
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2008
Distinct (%)90.5%
Missing758
Missing (%)25.5%
Memory size23.4 KiB
2023-12-11T02:31:54.504491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.588288
Min length19

Characters and Unicode

Total characters63466
Distinct characters362
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

Unique1840 ?
Unique (%)82.9%

Sample

1st row대구광역시 달서구 중흥로16길 29 (송현동)
2nd row대구광역시 달서구 중흥로16길 29 (송현동)
3rd row대구광역시 달서구 구마로14남길 7, 402호 (본동,창현아이빌)
4th row대구광역시 서구 통학로 177 (평리동)
5th row대구광역시 중구 태평로 172-7 (태평로1가)
ValueCountFrequency (%)
대구광역시 2141
 
16.9%
수성구 427
 
3.4%
동구 401
 
3.2%
2층 318
 
2.5%
달서구 318
 
2.5%
서구 293
 
2.3%
북구 228
 
1.8%
남구 207
 
1.6%
중구 161
 
1.3%
대명동 128
 
1.0%
Other values (2587) 8065
63.6%
2023-12-11T02:31:55.737390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10474
 
16.5%
구 4479
 
7.1%
동 3096
 
4.9%
대 2761
 
4.4%
1 2343
 
3.7%
시 2241
 
3.5%
로 2172
 
3.4%
광 2160
 
3.4%
역 2152
 
3.4%
) 2090
 
3.3%
Other values (352) 29498
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35946
56.6%
Decimal Number 10756
 
16.9%
Space Separator 10474
 
16.5%
Close Punctuation 2090
 
3.3%
Open Punctuation 2090
 
3.3%
Other Punctuation 1522
 
2.4%
Dash Punctuation 545
 
0.9%
Uppercase Letter 39
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4479
 
12.5%
동 3096
 
8.6%
대 2761
 
7.7%
시 2241
 
6.2%
로 2172
 
6.0%
광 2160
 
6.0%
역 2152
 
6.0%
길 979
 
2.7%
성 969
 
2.7%
서 807
 
2.2%
Other values (323) 14130
39.3%
Decimal Number
ValueCountFrequency (%)
1 2343
21.8%
2 1993
18.5%
3 1297
12.1%
0 1172
10.9%
4 854
 
7.9%
5 777
 
7.2%
6 679
 
6.3%
7 618
 
5.7%
8 569
 
5.3%
9 454
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 14
35.9%
A 9
23.1%
C 6
15.4%
D 3
 
7.7%
G 2
 
5.1%
P 2
 
5.1%
T 1
 
2.6%
M 1
 
2.6%
S 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 1517
99.7%
. 2
 
0.1%
/ 2
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
c 1
 
25.0%
Space Separator
ValueCountFrequency (%)
10474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2090
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35946
56.6%
Common 27477
43.3%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4479
 
12.5%
동 3096
 
8.6%
대 2761
 
7.7%
시 2241
 
6.2%
로 2172
 
6.0%
광 2160
 
6.0%
역 2152
 
6.0%
길 979
 
2.7%
성 969
 
2.7%
서 807
 
2.2%
Other values (323) 14130
39.3%
Common
ValueCountFrequency (%)
10474
38.1%
1 2343
 
8.5%
) 2090
 
7.6%
( 2090
 
7.6%
2 1993
 
7.3%
, 1517
 
5.5%
3 1297
 
4.7%
0 1172
 
4.3%
4 854
 
3.1%
5 777
 
2.8%
Other values (8) 2870
 
10.4%
Latin
ValueCountFrequency (%)
B 14
32.6%
A 9
20.9%
C 6
14.0%
D 3
 
7.0%
e 3
 
7.0%
G 2
 
4.7%
P 2
 
4.7%
T 1
 
2.3%
M 1
 
2.3%
c 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35945
56.6%
ASCII 27519
43.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10474
38.1%
1 2343
 
8.5%
) 2090
 
7.6%
( 2090
 
7.6%
2 1993
 
7.2%
, 1517
 
5.5%
3 1297
 
4.7%
0 1172
 
4.3%
4 854
 
3.1%
5 777
 
2.8%
Other values (18) 2912
 
10.6%
Hangul
ValueCountFrequency (%)
구 4479
 
12.5%
동 3096
 
8.6%
대 2761
 
7.7%
시 2241
 
6.2%
로 2172
 
6.0%
광 2160
 
6.0%
역 2152
 
6.0%
길 979
 
2.7%
성 969
 
2.7%
서 807
 
2.2%
Other values (322) 14129
39.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct586
Distinct (%)55.4%
Missing1921
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean295868.95
Minimum39202
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:56.068564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39202
5-th percentile41195.6
Q141931
median42699
Q3702812
95-th percentile706832
Maximum719831
Range680629
Interquartile range (IQR)660881

Descriptive statistics

Standard deviation322143.88
Coefficient of variation (CV)1.088806
Kurtosis-1.7714493
Mean295868.95
Median Absolute Deviation (MAD)1280
Skewness0.4814317
Sum3.1273348 × 108
Variance1.0377668 × 1011
MonotonicityNot monotonic
2023-12-11T02:31:56.361540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 14
 
0.5%
706032 13
 
0.4%
706852 11
 
0.4%
42661 10
 
0.3%
42612 9
 
0.3%
41529 8
 
0.3%
42696 8
 
0.3%
41184 7
 
0.2%
41218 7
 
0.2%
701823 7
 
0.2%
Other values (576) 963
32.3%
(Missing) 1921
64.5%
ValueCountFrequency (%)
39202 1
< 0.1%
41047 1
< 0.1%
41067 1
< 0.1%
41071 1
< 0.1%
41073 1
< 0.1%
41078 1
< 0.1%
41084 1
< 0.1%
41086 1
< 0.1%
41091 1
< 0.1%
41092 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%
711853 2
0.1%
711851 1
 
< 0.1%
711837 2
0.1%
711834 1
 
< 0.1%

사업장명
Text

Distinct2477
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
2023-12-11T02:31:57.081475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.6725991
Min length1

Characters and Unicode

Total characters25827
Distinct characters547
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

Unique2140 ?
Unique (%)71.9%

Sample

1st row대구간병사 베이비시터회
2nd row신흥유료직업소개소
3rd row(주)24인력개발 유료직업소개소
4th row금문 유료직업소개소
5th row김수웅 유료직업소개소
ValueCountFrequency (%)
유료직업소개소 501
 
13.8%
직업소개소 52
 
1.4%
주식회사 27
 
0.7%
대한유료직업소개소 9
 
0.2%
미래직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
신흥 6
 
0.2%
제일 6
 
0.2%
삼성 6
 
0.2%
대한직업소개소 6
 
0.2%
Other values (2436) 3011
82.7%
2023-12-11T02:31:58.067957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4356
16.9%
개 2539
 
9.8%
업 2216
 
8.6%
직 2163
 
8.4%
유 1485
 
5.7%
료 1457
 
5.6%
664
 
2.6%
인 664
 
2.6%
력 595
 
2.3%
발 387
 
1.5%
Other values (537) 9301
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24556
95.1%
Space Separator 664
 
2.6%
Close Punctuation 154
 
0.6%
Open Punctuation 154
 
0.6%
Decimal Number 152
 
0.6%
Uppercase Letter 104
 
0.4%
Lowercase Letter 26
 
0.1%
Other Punctuation 15
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4356
17.7%
개 2539
 
10.3%
업 2216
 
9.0%
직 2163
 
8.8%
유 1485
 
6.0%
료 1457
 
5.9%
인 664
 
2.7%
력 595
 
2.4%
발 387
 
1.6%
대 362
 
1.5%
Other values (482) 8332
33.9%
Uppercase Letter
ValueCountFrequency (%)
K 14
13.5%
O 11
 
10.6%
S 9
 
8.7%
C 8
 
7.7%
J 8
 
7.7%
H 6
 
5.8%
M 5
 
4.8%
B 5
 
4.8%
F 5
 
4.8%
R 4
 
3.8%
Other values (12) 29
27.9%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
k 3
11.5%
s 3
11.5%
n 2
 
7.7%
b 1
 
3.8%
c 1
 
3.8%
y 1
 
3.8%
a 1
 
3.8%
r 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 36
23.7%
1 31
20.4%
0 18
11.8%
3 16
10.5%
5 13
 
8.6%
8 13
 
8.6%
7 7
 
4.6%
6 7
 
4.6%
4 6
 
3.9%
9 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 11
73.3%
& 2
 
13.3%
' 1
 
6.7%
, 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 153
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 153
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24556
95.1%
Common 1141
 
4.4%
Latin 130
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4356
17.7%
개 2539
 
10.3%
업 2216
 
9.0%
직 2163
 
8.8%
유 1485
 
6.0%
료 1457
 
5.9%
인 664
 
2.7%
력 595
 
2.4%
발 387
 
1.6%
대 362
 
1.5%
Other values (482) 8332
33.9%
Latin
ValueCountFrequency (%)
K 14
 
10.8%
O 11
 
8.5%
S 9
 
6.9%
C 8
 
6.2%
J 8
 
6.2%
H 6
 
4.6%
o 6
 
4.6%
M 5
 
3.8%
B 5
 
3.8%
F 5
 
3.8%
Other values (25) 53
40.8%
Common
ValueCountFrequency (%)
664
58.2%
) 153
 
13.4%
( 153
 
13.4%
2 36
 
3.2%
1 31
 
2.7%
0 18
 
1.6%
3 16
 
1.4%
5 13
 
1.1%
8 13
 
1.1%
. 11
 
1.0%
Other values (10) 33
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24556
95.1%
ASCII 1271
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4356
17.7%
개 2539
 
10.3%
업 2216
 
9.0%
직 2163
 
8.8%
유 1485
 
6.0%
료 1457
 
5.9%
인 664
 
2.7%
력 595
 
2.4%
발 387
 
1.6%
대 362
 
1.5%
Other values (482) 8332
33.9%
ASCII
ValueCountFrequency (%)
664
52.2%
) 153
 
12.0%
( 153
 
12.0%
2 36
 
2.8%
1 31
 
2.4%
0 18
 
1.4%
3 16
 
1.3%
K 14
 
1.1%
5 13
 
1.0%
8 13
 
1.0%
Other values (45) 160
 
12.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2978
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0112936 × 1013
Minimum2.0030304 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:31:58.424121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030414 × 1013
Q12.0061018 × 1013
median2.009093 × 1013
Q32.0180427 × 1013
95-th percentile2.0210112 × 1013
Maximum2.021043 × 1013
Range1.8012599 × 1011
Interquartile range (IQR)1.1940878 × 1011

Descriptive statistics

Standard deviation6.1095024 × 1010
Coefficient of variation (CV)0.0030375984
Kurtosis-1.3969994
Mean2.0112936 × 1013
Median Absolute Deviation (MAD)4.9800483 × 1010
Skewness0.2876451
Sum5.9896325 × 1016
Variance3.732602 × 1021
MonotonicityNot monotonic
2023-12-11T02:31:58.772500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111202115937 1
 
< 0.1%
20140722165048 1
 
< 0.1%
20050329170942 1
 
< 0.1%
20190625144400 1
 
< 0.1%
20030718135820 1
 
< 0.1%
20040625171710 1
 
< 0.1%
20040430161213 1
 
< 0.1%
20040429175850 1
 
< 0.1%
20030825153127 1
 
< 0.1%
20121108102908 1
 
< 0.1%
Other values (2968) 2968
99.7%
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 (%)
20210430154012 1
< 0.1%
20210430150649 1
< 0.1%
20210429133022 1
< 0.1%
20210428164942 1
< 0.1%
20210428114107 1
< 0.1%
20210427140642 1
< 0.1%
20210427132243 1
< 0.1%
20210427131634 1
< 0.1%
20210427131447 1
< 0.1%
20210427131222 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
I
2344 
U
634 

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 2344
78.7%
U 634
 
21.3%

Length

2023-12-11T02:31:59.126292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:31:59.369626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2344
78.7%
u 634
 
21.3%

데이터갱신일자
Date

Distinct418
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2023-12-11T02:31:59.761579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:32:00.137614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2978
Missing (%)100.0%
Memory size26.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2229
Distinct (%)79.4%
Missing172
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean342546.82
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:32:00.432107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331056.07
Q1339881.65
median343245.45
Q3346520.59
95-th percentile354183.88
Maximum545499.31
Range377190.42
Interquartile range (IQR)6638.9408

Descriptive statistics

Standard deviation16148.346
Coefficient of variation (CV)0.047142012
Kurtosis57.662425
Mean342546.82
Median Absolute Deviation (MAD)3318.9385
Skewness-4.2466809
Sum9.6118636 × 108
Variance2.6076908 × 108
MonotonicityNot monotonic
2023-12-11T02:32:00.786357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
340310.448893 6
 
0.2%
338608.236268 6
 
0.2%
344686.259338 6
 
0.2%
345383.649328 6
 
0.2%
346942.691097 6
 
0.2%
346073.04865 6
 
0.2%
343205.435119 5
 
0.2%
344056.754607 5
 
0.2%
346207.242079 5
 
0.2%
Other values (2219) 2743
92.1%
(Missing) 172
 
5.8%
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%
200636.046224 1
< 0.1%
201238.133202766 1
< 0.1%
201310.903586376 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 

Distinct2229
Distinct (%)79.4%
Missing172
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean264299.19
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.3 KiB
2023-12-11T02:32:01.103215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256755.19
Q1261163.88
median263237.76
Q3265293.77
95-th percentile271032.61
Maximum488962.84
Range330838.62
Interquartile range (IQR)4129.8893

Descriptive statistics

Standard deviation18501.259
Coefficient of variation (CV)0.070001193
Kurtosis70.478809
Mean264299.19
Median Absolute Deviation (MAD)2067.5695
Skewness6.9843418
Sum7.4162353 × 108
Variance3.4229658 × 108
MonotonicityNot monotonic
2023-12-11T02:32:01.396594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
265324.291407 6
 
0.2%
259355.47515 6
 
0.2%
263958.880864 6
 
0.2%
267901.294823 6
 
0.2%
263989.847737 6
 
0.2%
264848.319665 6
 
0.2%
261598.284358 5
 
0.2%
265005.160592 5
 
0.2%
267170.951212 5
 
0.2%
Other values (2219) 2743
92.1%
(Missing) 172
 
5.8%
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 size23.4 KiB
개인
2845 
법인
 
133

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 2845
95.5%
법인 133
 
4.5%

Length

2023-12-11T02:32:01.694099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:32:01.950270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2845
95.5%
법인 133
 
4.5%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
유료
2978 

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 2978
100.0%

Length

2023-12-11T02:32:02.283533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:32:02.528950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 2978
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200634100131150000720060425<NA>3폐업40폐업20110321<NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 1261호 24통 5반 월성자이 103 1901<NA><NA>대구간병사 베이비시터회20111202115937I2018-08-31 23:59:59.0<NA>337862.360831259039.012978개인유료
12유료직업소개소11_50_02_P3410000200634100131150000820060502<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로1가 5번지 6 호<NA><NA>신흥유료직업소개소20060502123421I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23유료직업소개소11_50_02_P3410000200334100131150000419950126<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 2015번지 16호 4통 4반대구광역시 달서구 중흥로16길 29 (송현동)<NA>(주)24인력개발 유료직업소개소20060428134158I2018-08-31 23:59:59.0<NA>340738.47108259710.656488법인유료
34유료직업소개소11_50_02_P3410000200334100131150000519950218<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 2082호 5통 4반<NA><NA>금문 유료직업소개소20070507110419I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
45유료직업소개소11_50_02_P3410000200334100131150000619980312<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 읍내동 1366번지 2호 52통 2반 보성맨션 103 503<NA><NA>김수웅 유료직업소개소20061101175622I2018-08-31 23:59:59.0<NA>340126.10647271586.559499개인유료
56유료직업소개소11_50_02_P3410000200334100131150000719980716<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 2015번지 16호 4통 4반대구광역시 달서구 중흥로16길 29 (송현동)<NA>정재한 유료직업소개소20070507093104I2018-08-31 23:59:59.0<NA>340738.47108259710.656488개인유료
67유료직업소개소11_50_02_P3410000200334100131150000820030208<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 시지동 141번지 5호 22통 5반 은세계타운 101 911<NA><NA>오명옥 유료직업소개소20070507112646I2018-08-31 23:59:59.0<NA>353031.842097261796.062018개인유료
78유료직업소개소11_50_02_P3410000200334100131150000920030306<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 902호 5통 1반 창현아이빌 402대구광역시 달서구 구마로14남길 7, 402호 (본동,창현아이빌)<NA>신흥 유료직업소개소20070507130559I2018-08-31 23:59:59.0<NA>338601.271913260558.702422개인유료
89유료직업소개소11_50_02_P3410000200334100131150001020030315<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 평리동 868호 14통 7반대구광역시 서구 통학로 177 (평리동)<NA>제일 유료직업소개소20070507094900I2018-08-31 23:59:59.0<NA>341066.801472265119.685377개인유료
910유료직업소개소11_50_02_P3410000200234100791150000120021022<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 500번지 6호 20통 4반 월성영남맨션 101 1208<NA><NA>돌체20070516090208I2018-08-31 23:59:59.0<NA>338608.236268259355.47515개인유료
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