Overview

Dataset statistics

Number of variables30
Number of observations3077
Missing cells28367
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory775.4 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description22년12월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097345&dataSetDetailId=DDI_0000097371&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (74.6%)Imbalance
인허가취소일자 has 3077 (100.0%) missing valuesMissing
폐업일자 has 1775 (57.7%) missing valuesMissing
휴업시작일자 has 3077 (100.0%) missing valuesMissing
휴업종료일자 has 3077 (100.0%) missing valuesMissing
재개업일자 has 3077 (100.0%) missing valuesMissing
소재지전화 has 2640 (85.8%) missing valuesMissing
소재지면적 has 3077 (100.0%) missing valuesMissing
소재지우편번호 has 2365 (76.9%) missing valuesMissing
도로명전체주소 has 748 (24.3%) missing valuesMissing
도로명우편번호 has 1905 (61.9%) missing valuesMissing
업태구분명 has 3077 (100.0%) missing valuesMissing
좌표정보(X) has 228 (7.4%) missing valuesMissing
좌표정보(Y) has 228 (7.4%) 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 70 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-10 19:54:05.481029
Analysis finished2023-12-10 19:54:06.771687
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1539
Minimum1
Maximum3077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:07.058762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile154.8
Q1770
median1539
Q32308
95-th percentile2923.2
Maximum3077
Range3076
Interquartile range (IQR)1538

Descriptive statistics

Standard deviation888.39771
Coefficient of variation (CV)0.57725647
Kurtosis-1.2
Mean1539
Median Absolute Deviation (MAD)769
Skewness0
Sum4735503
Variance789250.5
MonotonicityStrictly increasing
2023-12-11T04:54:07.244934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1925 1
 
< 0.1%
2047 1
 
< 0.1%
2048 1
 
< 0.1%
2049 1
 
< 0.1%
2050 1
 
< 0.1%
2051 1
 
< 0.1%
2052 1
 
< 0.1%
2053 1
 
< 0.1%
2054 1
 
< 0.1%
Other values (3067) 3067
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 (%)
3077 1
< 0.1%
3076 1
< 0.1%
3075 1
< 0.1%
3074 1
< 0.1%
3073 1
< 0.1%
3072 1
< 0.1%
3071 1
< 0.1%
3070 1
< 0.1%
3069 1
< 0.1%
3068 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
유료직업소개소
3077 

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 3077
100.0%

Length

2023-12-11T04:54:07.385987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:07.502302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3077
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
11_50_02_P
3077 

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 3077
100.0%

Length

2023-12-11T04:54:07.622557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:07.753296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3077
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443581.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:07.859968image/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 deviation23061.607
Coefficient of variation (CV)0.0066969833
Kurtosis-1.4860969
Mean3443581.4
Median Absolute Deviation (MAD)20000
Skewness-0.10652253
Sum1.05959 × 1010
Variance5.3183773 × 108
MonotonicityIncreasing
2023-12-11T04:54:08.047508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 683
22.2%
3460000 534
17.4%
3420000 504
16.4%
3410000 453
14.7%
3430000 323
10.5%
3440000 250
 
8.1%
3450000 215
 
7.0%
3480000 115
 
3.7%
ValueCountFrequency (%)
3410000 453
14.7%
3420000 504
16.4%
3430000 323
10.5%
3440000 250
 
8.1%
3450000 215
 
7.0%
3460000 534
17.4%
3470000 683
22.2%
3480000 115
 
3.7%
ValueCountFrequency (%)
3480000 115
 
3.7%
3470000 683
22.2%
3460000 534
17.4%
3450000 215
 
7.0%
3440000 250
 
8.1%
3430000 323
10.5%
3420000 504
16.4%
3410000 453
14.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0081325 × 1018
Minimum1.968341 × 1018
Maximum2.022348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:08.273640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998347 × 1018
Q12.003342 × 1018
median2.006346 × 1018
Q32.014341 × 1018
95-th percentile2.021344 × 1018
Maximum2.022348 × 1018
Range5.4007029 × 1016
Interquartile range (IQR)1.0999005 × 1016

Descriptive statistics

Standard deviation7.7081417 × 1015
Coefficient of variation (CV)0.0038384627
Kurtosis2.9852487
Mean2.0081325 × 1018
Median Absolute Deviation (MAD)4.0050055 × 1015
Skewness-0.46462219
Sum-6.3564646 × 1017
Variance5.9415448 × 1031
MonotonicityNot monotonic
2023-12-11T04:54:08.508786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001341007911500011 1
 
< 0.1%
2014346015414500001 1
 
< 0.1%
2010346011314500008 1
 
< 0.1%
2011346012514500001 1
 
< 0.1%
2011346012514500004 1
 
< 0.1%
2011346012514500005 1
 
< 0.1%
2011346012514500006 1
 
< 0.1%
2003346006511500008 1
 
< 0.1%
2003346006511500009 1
 
< 0.1%
2003346006511500010 1
 
< 0.1%
Other values (3067) 3067
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 (%)
2022348036514500010 1
< 0.1%
2022348036514500008 1
< 0.1%
2022348036514500007 1
< 0.1%
2022348036514500005 1
< 0.1%
2022348036514500004 1
< 0.1%
2022348036514500003 1
< 0.1%
2022348036514500002 1
< 0.1%
2022348036514500001 1
< 0.1%
2022347018114500023 1
< 0.1%
2022347018114500022 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2153
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20076450
Minimum19681230
Maximum20221227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:08.724118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19981089
Q120030404
median20060628
Q320130627
95-th percentile20210311
Maximum20221227
Range539997
Interquartile range (IQR)100223

Descriptive statistics

Standard deviation75865.28
Coefficient of variation (CV)0.0037788194
Kurtosis3.2441792
Mean20076450
Median Absolute Deviation (MAD)40393
Skewness-0.47818388
Sum6.1775238 × 1010
Variance5.7555408 × 109
MonotonicityNot monotonic
2023-12-11T04:54:08.953324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950126 8
 
0.3%
20020429 6
 
0.2%
20030729 6
 
0.2%
20061123 6
 
0.2%
20061129 6
 
0.2%
20060901 6
 
0.2%
20050318 6
 
0.2%
19980903 5
 
0.2%
20040723 5
 
0.2%
20041209 5
 
0.2%
Other values (2143) 3018
98.1%
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 (%)
20221227 3
0.1%
20221221 1
 
< 0.1%
20221212 1
 
< 0.1%
20221207 2
0.1%
20221206 1
 
< 0.1%
20221202 1
 
< 0.1%
20221125 2
0.1%
20221122 1
 
< 0.1%
20221117 1
 
< 0.1%
20221115 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3077
Missing (%)100.0%
Memory size27.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
3
2269 
1
629 
4
 
179

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 2269
73.7%
1 629
 
20.4%
4 179
 
5.8%

Length

2023-12-11T04:54:09.147633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:09.304007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2269
73.7%
1 629
 
20.4%
4 179
 
5.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
폐업
2269 
영업/정상
629 
취소/말소/만료/정지/중지
 
179

Length

Max length14
Median length2
Mean length3.3113422
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 2269
73.7%
영업/정상 629
 
20.4%
취소/말소/만료/정지/중지 179
 
5.8%

Length

2023-12-11T04:54:09.465029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:09.635657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2269
73.7%
영업/정상 629
 
20.4%
취소/말소/만료/정지/중지 179
 
5.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
40
2269 
20
629 
70
 
179

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row70
3rd row70
4th row70
5th row70

Common Values

ValueCountFrequency (%)
40 2269
73.7%
20 629
 
20.4%
70 179
 
5.8%

Length

2023-12-11T04:54:09.766154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:09.906964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2269
73.7%
20 629
 
20.4%
70 179
 
5.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
폐업
2269 
영업중
629 
등록취소
 
179

Length

Max length4
Median length2
Mean length2.320767
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2269
73.7%
영업중 629
 
20.4%
등록취소 179
 
5.8%

Length

2023-12-11T04:54:10.084378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:10.253313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2269
73.7%
영업중 629
 
20.4%
등록취소 179
 
5.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct1098
Distinct (%)84.3%
Missing1775
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean20124864
Minimum19950714
Maximum20221229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:10.442203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030908
Q120081148
median20120725
Q320170788
95-th percentile20210800
Maximum20221229
Range270515
Interquartile range (IQR)89639.75

Descriptive statistics

Standard deviation55652.687
Coefficient of variation (CV)0.0027653695
Kurtosis-0.65335969
Mean20124864
Median Absolute Deviation (MAD)40318
Skewness-0.16490336
Sum2.6202573 × 1010
Variance3.0972216 × 109
MonotonicityNot monotonic
2023-12-11T04:54:10.650968image/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%
20081229 4
 
0.1%
20090120 4
 
0.1%
20100512 3
 
0.1%
20051114 3
 
0.1%
20181227 3
 
0.1%
20200525 3
 
0.1%
Other values (1088) 1263
41.0%
(Missing) 1775
57.7%
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 1
< 0.1%
19990901 1
< 0.1%
19990928 1
< 0.1%
ValueCountFrequency (%)
20221229 1
< 0.1%
20221228 1
< 0.1%
20221222 1
< 0.1%
20221216 1
< 0.1%
20221202 1
< 0.1%
20221130 1
< 0.1%
20221123 1
< 0.1%
20221118 1
< 0.1%
20221104 2
0.1%
20220930 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3077
Missing (%)100.0%
Memory size27.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3077
Missing (%)100.0%
Memory size27.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3077
Missing (%)100.0%
Memory size27.2 KiB

소재지전화
Text

MISSING 

Distinct425
Distinct (%)97.3%
Missing2640
Missing (%)85.8%
Memory size24.2 KiB
2023-12-11T04:54:10.972198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.512586
Min length5

Characters and Unicode

Total characters5031
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

Unique416 ?
Unique (%)95.2%

Sample

1st row0547156677
2nd row053 422 5006
3rd row053 939 7770
4th row053 2431001
5th row053 655 8272
ValueCountFrequency (%)
053 368
33.1%
761 13
 
1.2%
611 12
 
1.1%
764 8
 
0.7%
744 8
 
0.7%
766 7
 
0.6%
614 7
 
0.6%
768 7
 
0.6%
424 7
 
0.6%
742 6
 
0.5%
Other values (542) 669
60.2%
2023-12-11T04:54:11.727083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 769
15.3%
5 741
14.7%
722
14.4%
3 647
12.9%
7 373
7.4%
1 353
7.0%
6 328
6.5%
4 324
6.4%
2 318
6.3%
9 254
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4309
85.6%
Space Separator 722
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 769
17.8%
5 741
17.2%
3 647
15.0%
7 373
8.7%
1 353
8.2%
6 328
7.6%
4 324
7.5%
2 318
7.4%
9 254
 
5.9%
8 202
 
4.7%
Space Separator
ValueCountFrequency (%)
722
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 769
15.3%
5 741
14.7%
722
14.4%
3 647
12.9%
7 373
7.4%
1 353
7.0%
6 328
6.5%
4 324
6.4%
2 318
6.3%
9 254
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 769
15.3%
5 741
14.7%
722
14.4%
3 647
12.9%
7 373
7.4%
1 353
7.0%
6 328
6.5%
4 324
6.4%
2 318
6.3%
9 254
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3077
Missing (%)100.0%
Memory size27.2 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct273
Distinct (%)38.3%
Missing2365
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean633406.93
Minimum0
Maximum711883
Zeros70
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:11.939804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703042
Q3705224.75
95-th percentile706839.8
Maximum711883
Range711883
Interquartile range (IQR)3408.75

Descriptive statistics

Standard deviation210790.23
Coefficient of variation (CV)0.332788
Kurtosis5.1495487
Mean633406.93
Median Absolute Deviation (MAD)1793.5
Skewness-2.6683878
Sum4.5098573 × 108
Variance4.4432519 × 1010
MonotonicityNot monotonic
2023-12-11T04:54:12.165555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
2.3%
703014 23
 
0.7%
703062 18
 
0.6%
703061 17
 
0.6%
706032 17
 
0.6%
700111 15
 
0.5%
703042 15
 
0.5%
703013 14
 
0.5%
701816 13
 
0.4%
703016 10
 
0.3%
Other values (263) 500
 
16.2%
(Missing) 2365
76.9%
ValueCountFrequency (%)
0 70
2.3%
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 (%)
711883 1
 
< 0.1%
711874 3
0.1%
711873 2
0.1%
711872 3
0.1%
711865 1
 
< 0.1%
711853 1
 
< 0.1%
711852 1
 
< 0.1%
711851 1
 
< 0.1%
711843 1
 
< 0.1%
711837 1
 
< 0.1%

소재지전체주소
Text

Distinct2829
Distinct (%)92.4%
Missing16
Missing (%)0.5%
Memory size24.2 KiB
2023-12-11T04:54:12.705552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length28.803659
Min length12

Characters and Unicode

Total characters88168
Distinct characters387
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

Unique2644 ?
Unique (%)86.4%

Sample

1st row대구광역시 북구 대현동 112번지 49호 13통 3반
2nd row대구광역시 중구 봉산동 172번지 26호 10통 4반
3rd row대구광역시 달서구 본동 612번지 9호 1통 3반
4th row대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307
5th row대구광역시 중구 동인동4가 444번지 4호 10통 6반
ValueCountFrequency (%)
대구광역시 2840
 
14.5%
달서구 602
 
3.1%
수성구 502
 
2.6%
동구 455
 
2.3%
서구 357
 
1.8%
1호 355
 
1.8%
북구 284
 
1.4%
남구 271
 
1.4%
중구 224
 
1.1%
1반 201
 
1.0%
Other values (3280) 13532
69.0%
2023-12-11T04:54:13.428947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18724
21.2%
구 5647
 
6.4%
1 5078
 
5.8%
동 3357
 
3.8%
2 3227
 
3.7%
대 3182
 
3.6%
시 3037
 
3.4%
광 2880
 
3.3%
역 2865
 
3.2%
호 2860
 
3.2%
Other values (377) 37311
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47540
53.9%
Decimal Number 21367
24.2%
Space Separator 18724
 
21.2%
Dash Punctuation 293
 
0.3%
Other Punctuation 84
 
0.1%
Uppercase Letter 64
 
0.1%
Close Punctuation 44
 
< 0.1%
Open Punctuation 44
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5647
 
11.9%
동 3357
 
7.1%
대 3182
 
6.7%
시 3037
 
6.4%
광 2880
 
6.1%
역 2865
 
6.0%
호 2860
 
6.0%
지 2466
 
5.2%
번 2292
 
4.8%
통 1235
 
2.6%
Other values (343) 17719
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 22
34.4%
A 20
31.2%
C 5
 
7.8%
D 4
 
6.2%
L 2
 
3.1%
M 2
 
3.1%
G 2
 
3.1%
T 1
 
1.6%
H 1
 
1.6%
P 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5078
23.8%
2 3227
15.1%
3 2348
11.0%
0 2345
11.0%
4 1870
 
8.8%
5 1618
 
7.6%
6 1384
 
6.5%
7 1288
 
6.0%
8 1146
 
5.4%
9 1063
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
75.0%
a 1
 
12.5%
c 1
 
12.5%
Space Separator
ValueCountFrequency (%)
18724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47536
53.9%
Common 40556
46.0%
Latin 72
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5647
 
11.9%
동 3357
 
7.1%
대 3182
 
6.7%
시 3037
 
6.4%
광 2880
 
6.1%
역 2865
 
6.0%
호 2860
 
6.0%
지 2466
 
5.2%
번 2292
 
4.8%
통 1235
 
2.6%
Other values (341) 17715
37.3%
Common
ValueCountFrequency (%)
18724
46.2%
1 5078
 
12.5%
2 3227
 
8.0%
3 2348
 
5.8%
0 2345
 
5.8%
4 1870
 
4.6%
5 1618
 
4.0%
6 1384
 
3.4%
7 1288
 
3.2%
8 1146
 
2.8%
Other values (7) 1528
 
3.8%
Latin
ValueCountFrequency (%)
B 22
30.6%
A 20
27.8%
e 6
 
8.3%
C 5
 
6.9%
D 4
 
5.6%
L 2
 
2.8%
M 2
 
2.8%
G 2
 
2.8%
T 1
 
1.4%
H 1
 
1.4%
Other values (7) 7
 
9.7%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47535
53.9%
ASCII 40628
46.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18724
46.1%
1 5078
 
12.5%
2 3227
 
7.9%
3 2348
 
5.8%
0 2345
 
5.8%
4 1870
 
4.6%
5 1618
 
4.0%
6 1384
 
3.4%
7 1288
 
3.2%
8 1146
 
2.8%
Other values (24) 1600
 
3.9%
Hangul
ValueCountFrequency (%)
구 5647
 
11.9%
동 3357
 
7.1%
대 3182
 
6.7%
시 3037
 
6.4%
광 2880
 
6.1%
역 2865
 
6.0%
호 2860
 
6.0%
지 2466
 
5.2%
번 2292
 
4.8%
통 1235
 
2.6%
Other values (340) 17714
37.3%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2117
Distinct (%)90.9%
Missing748
Missing (%)24.3%
Memory size24.2 KiB
2023-12-11T04:54:13.918337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.711035
Min length19

Characters and Unicode

Total characters66868
Distinct characters377
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

Unique1946 ?
Unique (%)83.6%

Sample

1st row대구광역시 북구 경대로5길 30-11 (대현동)
2nd row대구광역시 달서구 학산로7길 71-10 (본동)
3rd row대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)
4th row대구광역시 중구 국채보상로 736-6 (동인동4가)
5th row대구광역시 달서구 중흥로16길 29 (송현동)
ValueCountFrequency (%)
대구광역시 2250
 
16.8%
수성구 439
 
3.3%
동구 414
 
3.1%
2층 357
 
2.7%
달서구 346
 
2.6%
서구 307
 
2.3%
북구 240
 
1.8%
남구 221
 
1.7%
중구 166
 
1.2%
1층 138
 
1.0%
Other values (2693) 8509
63.6%
2023-12-11T04:54:14.761780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11066
 
16.5%
구 4702
 
7.0%
동 3234
 
4.8%
대 2902
 
4.3%
1 2465
 
3.7%
시 2354
 
3.5%
로 2278
 
3.4%
광 2270
 
3.4%
역 2263
 
3.4%
( 2188
 
3.3%
Other values (367) 31146
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37822
56.6%
Decimal Number 11338
 
17.0%
Space Separator 11066
 
16.5%
Open Punctuation 2188
 
3.3%
Close Punctuation 2188
 
3.3%
Other Punctuation 1650
 
2.5%
Dash Punctuation 564
 
0.8%
Uppercase Letter 48
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4702
 
12.4%
동 3234
 
8.6%
대 2902
 
7.7%
시 2354
 
6.2%
로 2278
 
6.0%
광 2270
 
6.0%
역 2263
 
6.0%
길 1019
 
2.7%
성 999
 
2.6%
서 862
 
2.3%
Other values (336) 14939
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 17
35.4%
A 11
22.9%
C 6
 
12.5%
D 3
 
6.2%
P 2
 
4.2%
S 2
 
4.2%
M 2
 
4.2%
G 2
 
4.2%
T 1
 
2.1%
K 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 2465
21.7%
2 2118
18.7%
3 1373
12.1%
0 1239
10.9%
4 889
 
7.8%
5 820
 
7.2%
6 704
 
6.2%
7 639
 
5.6%
8 596
 
5.3%
9 495
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1645
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 (%)
11066
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 564
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37822
56.6%
Common 28994
43.4%
Latin 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4702
 
12.4%
동 3234
 
8.6%
대 2902
 
7.7%
시 2354
 
6.2%
로 2278
 
6.0%
광 2270
 
6.0%
역 2263
 
6.0%
길 1019
 
2.7%
성 999
 
2.6%
서 862
 
2.3%
Other values (336) 14939
39.5%
Common
ValueCountFrequency (%)
11066
38.2%
1 2465
 
8.5%
( 2188
 
7.5%
) 2188
 
7.5%
2 2118
 
7.3%
, 1645
 
5.7%
3 1373
 
4.7%
0 1239
 
4.3%
4 889
 
3.1%
5 820
 
2.8%
Other values (8) 3003
 
10.4%
Latin
ValueCountFrequency (%)
B 17
32.7%
A 11
21.2%
C 6
 
11.5%
D 3
 
5.8%
e 3
 
5.8%
P 2
 
3.8%
S 2
 
3.8%
M 2
 
3.8%
G 2
 
3.8%
T 1
 
1.9%
Other values (3) 3
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37821
56.6%
ASCII 29045
43.4%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11066
38.1%
1 2465
 
8.5%
( 2188
 
7.5%
) 2188
 
7.5%
2 2118
 
7.3%
, 1645
 
5.7%
3 1373
 
4.7%
0 1239
 
4.3%
4 889
 
3.1%
5 820
 
2.8%
Other values (20) 3054
 
10.5%
Hangul
ValueCountFrequency (%)
구 4702
 
12.4%
동 3234
 
8.6%
대 2902
 
7.7%
시 2354
 
6.2%
로 2278
 
6.0%
광 2270
 
6.0%
역 2263
 
6.0%
길 1019
 
2.7%
성 999
 
2.6%
서 862
 
2.3%
Other values (335) 14938
39.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct637
Distinct (%)54.4%
Missing1905
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean256842.58
Minimum39202
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:14.965172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39202
5-th percentile41185.65
Q141871.5
median42660.5
Q3701827
95-th percentile706820.35
Maximum719831
Range680629
Interquartile range (IQR)659955.5

Descriptive statistics

Standard deviation310148.24
Coefficient of variation (CV)1.2075421
Kurtosis-1.4367539
Mean256842.58
Median Absolute Deviation (MAD)1080
Skewness0.75204301
Sum3.010195 × 108
Variance9.6191928 × 1010
MonotonicityNot monotonic
2023-12-11T04:54:15.175104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 13
 
0.4%
706032 12
 
0.4%
706852 11
 
0.4%
42612 11
 
0.4%
42661 10
 
0.3%
41207 8
 
0.3%
42696 8
 
0.3%
41264 7
 
0.2%
701827 7
 
0.2%
42742 7
 
0.2%
Other values (627) 1078
35.0%
(Missing) 1905
61.9%
ValueCountFrequency (%)
39202 1
< 0.1%
41047 1
< 0.1%
41061 1
< 0.1%
41065 1
< 0.1%
41067 1
< 0.1%
41071 1
< 0.1%
41073 2
0.1%
41078 2
0.1%
41084 1
< 0.1%
41086 1
< 0.1%
ValueCountFrequency (%)
719831 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711872 3
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

Distinct2584
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
2023-12-11T04:54:15.642835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.6347091
Min length1

Characters and Unicode

Total characters26569
Distinct characters550
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2249 ?
Unique (%)73.1%

Sample

1st row동양
2nd row명성
3rd row동인 유료직업소개소
4th row뉴 강일
5th row일하는사람들
ValueCountFrequency (%)
유료직업소개소 524
 
13.9%
직업소개소 53
 
1.4%
주식회사 24
 
0.6%
미래직업소개소 8
 
0.2%
대한유료직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
삼성 7
 
0.2%
삼성직업소개소 6
 
0.2%
대림인력개발 6
 
0.2%
개미인력 6
 
0.2%
Other values (2542) 3128
82.8%
2023-12-11T04:54:16.348582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4436
16.7%
개 2592
 
9.8%
업 2253
 
8.5%
직 2199
 
8.3%
유 1505
 
5.7%
료 1477
 
5.6%
인 720
 
2.7%
703
 
2.6%
력 646
 
2.4%
발 399
 
1.5%
Other values (540) 9639
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25227
94.9%
Space Separator 703
 
2.6%
Close Punctuation 158
 
0.6%
Open Punctuation 158
 
0.6%
Decimal Number 152
 
0.6%
Uppercase Letter 123
 
0.5%
Lowercase Letter 28
 
0.1%
Other Punctuation 17
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4436
17.6%
개 2592
 
10.3%
업 2253
 
8.9%
직 2199
 
8.7%
유 1505
 
6.0%
료 1477
 
5.9%
인 720
 
2.9%
력 646
 
2.6%
발 399
 
1.6%
대 371
 
1.5%
Other values (484) 8629
34.2%
Uppercase Letter
ValueCountFrequency (%)
K 19
15.4%
O 12
 
9.8%
J 11
 
8.9%
S 11
 
8.9%
C 10
 
8.1%
H 7
 
5.7%
F 5
 
4.1%
B 5
 
4.1%
E 5
 
4.1%
I 5
 
4.1%
Other values (12) 33
26.8%
Lowercase Letter
ValueCountFrequency (%)
o 7
25.0%
e 4
14.3%
k 3
10.7%
s 3
10.7%
n 2
 
7.1%
b 2
 
7.1%
f 1
 
3.6%
h 1
 
3.6%
d 1
 
3.6%
y 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
2 37
24.3%
1 31
20.4%
0 18
11.8%
3 17
11.2%
8 13
 
8.6%
5 12
 
7.9%
7 7
 
4.6%
4 6
 
3.9%
6 6
 
3.9%
9 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
, 1
 
5.9%
' 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 157
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 157
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
703
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25228
95.0%
Common 1190
 
4.5%
Latin 151
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4436
17.6%
개 2592
 
10.3%
업 2253
 
8.9%
직 2199
 
8.7%
유 1505
 
6.0%
료 1477
 
5.9%
인 720
 
2.9%
력 646
 
2.6%
발 399
 
1.6%
대 371
 
1.5%
Other values (485) 8630
34.2%
Latin
ValueCountFrequency (%)
K 19
 
12.6%
O 12
 
7.9%
J 11
 
7.3%
S 11
 
7.3%
C 10
 
6.6%
o 7
 
4.6%
H 7
 
4.6%
F 5
 
3.3%
B 5
 
3.3%
E 5
 
3.3%
Other values (25) 59
39.1%
Common
ValueCountFrequency (%)
703
59.1%
) 157
 
13.2%
( 157
 
13.2%
2 37
 
3.1%
1 31
 
2.6%
0 18
 
1.5%
3 17
 
1.4%
8 13
 
1.1%
5 12
 
1.0%
. 11
 
0.9%
Other values (10) 34
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25227
94.9%
ASCII 1341
 
5.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4436
17.6%
개 2592
 
10.3%
업 2253
 
8.9%
직 2199
 
8.7%
유 1505
 
6.0%
료 1477
 
5.9%
인 720
 
2.9%
력 646
 
2.6%
발 399
 
1.6%
대 371
 
1.5%
Other values (484) 8629
34.2%
ASCII
ValueCountFrequency (%)
703
52.4%
) 157
 
11.7%
( 157
 
11.7%
2 37
 
2.8%
1 31
 
2.3%
K 19
 
1.4%
0 18
 
1.3%
3 17
 
1.3%
8 13
 
1.0%
O 12
 
0.9%
Other values (45) 177
 
13.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct3077
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119477 × 1013
Minimum2.0030304 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:16.559134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030424 × 1013
Q12.0061215 × 1013
median2.0100402 × 1013
Q32.0190823 × 1013
95-th percentile2.0220922 × 1013
Maximum2.022123 × 1013
Range1.9092598 × 1011
Interquartile range (IQR)1.2960804 × 1011

Descriptive statistics

Standard deviation6.7002701 × 1010
Coefficient of variation (CV)0.0033302407
Kurtosis-1.4194525
Mean2.0119477 × 1013
Median Absolute Deviation (MAD)5.0522088 × 1010
Skewness0.30192728
Sum6.190763 × 1016
Variance4.489362 × 1021
MonotonicityNot monotonic
2023-12-11T04:54:16.797101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070508131811 1
 
< 0.1%
20200907153214 1
 
< 0.1%
20111229191555 1
 
< 0.1%
20180430114504 1
 
< 0.1%
20111129145445 1
 
< 0.1%
20110922133008 1
 
< 0.1%
20160329135200 1
 
< 0.1%
20050329170942 1
 
< 0.1%
20190625144400 1
 
< 0.1%
20030718135820 1
 
< 0.1%
Other values (3067) 3067
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 (%)
20221230143525 1
< 0.1%
20221230131215 1
< 0.1%
20221230110329 1
< 0.1%
20221230091155 1
< 0.1%
20221229171828 1
< 0.1%
20221229163216 1
< 0.1%
20221228173831 1
< 0.1%
20221228162247 1
< 0.1%
20221228095521 1
< 0.1%
20221228095504 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
I
2297 
U
780 

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 2297
74.7%
U 780
 
25.3%

Length

2023-12-11T04:54:17.006923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:17.134444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2297
74.7%
u 780
 
25.3%

데이터갱신일자
Date

Distinct538
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T04:54:17.278535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:54:17.887731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3077
Missing (%)100.0%
Memory size27.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2274
Distinct (%)79.8%
Missing228
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean342606.28
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:18.118380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331407.51
Q1339873.63
median342970.32
Q3346489.83
95-th percentile354102.66
Maximum545499.31
Range377190.42
Interquartile range (IQR)6616.195

Descriptive statistics

Standard deviation15120.741
Coefficient of variation (CV)0.044134455
Kurtosis62.408977
Mean342606.28
Median Absolute Deviation (MAD)3304.6681
Skewness-4.039387
Sum9.7608529 × 108
Variance2.2863682 × 108
MonotonicityNot monotonic
2023-12-11T04:54:18.353175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.5224695 12
 
0.4%
346942.691096638 7
 
0.2%
340310.448893237 7
 
0.2%
338608.236267503 6
 
0.2%
348506.422520115 6
 
0.2%
344686.25933796 6
 
0.2%
352371.984834033 5
 
0.2%
343205.435118708 5
 
0.2%
344056.754607149 5
 
0.2%
346073.048649748 5
 
0.2%
Other values (2264) 2785
90.5%
(Missing) 228
 
7.4%
ValueCountFrequency (%)
168308.896349869 1
< 0.1%
184753.989742217 1
< 0.1%
193719.806848196 1
< 0.1%
195986.94989341 1
< 0.1%
198010.182437949 1
< 0.1%
201236.788906096 1
< 0.1%
201310.903586376 1
< 0.1%
201606.233404107 1
< 0.1%
204821.874907167 1
< 0.1%
205094.767457192 1
< 0.1%
ValueCountFrequency (%)
545499.311950092 1
< 0.1%
420238.800736016 1
< 0.1%
419718.881757105 1
< 0.1%
419583.435363829 1
< 0.1%
416495.66416616 1
< 0.1%
416060.183582511 1
< 0.1%
415393.674472632 1
< 0.1%
412630.642029829 1
< 0.1%
412583.025350424 1
< 0.1%
412347.178068604 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2274
Distinct (%)79.8%
Missing228
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean264106.55
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.2 KiB
2023-12-11T04:54:18.610255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256446.89
Q1261135.57
median263238.62
Q3265260.55
95-th percentile270735.8
Maximum488962.84
Range330838.62
Interquartile range (IQR)4124.9784

Descriptive statistics

Standard deviation17583.537
Coefficient of variation (CV)0.066577434
Kurtosis77.828424
Mean264106.55
Median Absolute Deviation (MAD)2064.9821
Skewness7.2637245
Sum7.5243957 × 108
Variance3.0918076 × 108
MonotonicityNot monotonic
2023-12-11T04:54:18.835745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376104 12
 
0.4%
263989.847736771 7
 
0.2%
265324.291407297 7
 
0.2%
259355.475150091 6
 
0.2%
259488.824789494 6
 
0.2%
263958.880864104 6
 
0.2%
266741.708937555 5
 
0.2%
261598.284358334 5
 
0.2%
265005.160592093 5
 
0.2%
264848.319665179 5
 
0.2%
Other values (2264) 2785
90.5%
(Missing) 228
 
7.4%
ValueCountFrequency (%)
158124.21661431 1
< 0.1%
177537.62358346 1
< 0.1%
180200.516246672 1
< 0.1%
186418.353179034 1
< 0.1%
187201.783577746 1
< 0.1%
187432.761894711 1
< 0.1%
187835.921704264 1
< 0.1%
189731.843002709 1
< 0.1%
190121.899476029 1
< 0.1%
191712.881178383 2
0.1%
ValueCountFrequency (%)
488962.835851351 1
< 0.1%
456413.887015204 1
< 0.1%
453820.523499745 1
< 0.1%
451237.26762392 1
< 0.1%
450775.594404282 1
< 0.1%
449756.675849152 1
< 0.1%
449245.227064126 1
< 0.1%
448123.285204329 1
< 0.1%
448095.301434428 1
< 0.1%
445803.216404083 1
< 0.1%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
개인
2946 
법인
 
131

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 2946
95.7%
법인 131
 
4.3%

Length

2023-12-11T04:54:19.080474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:19.253312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2946
95.7%
법인 131
 
4.3%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
유료
3077 

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 3077
100.0%

Length

2023-12-11T04:54:19.446724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:54:19.620064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3077
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200134100791150001120010917<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 대현동 112번지 49호 13통 3반대구광역시 북구 경대로5길 30-11 (대현동)<NA>동양20070508131811I2018-08-31 23:59:59.0<NA>345380.836632266161.107461개인유료
12유료직업소개소11_50_02_P3410000200134100801150000120010804<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 172번지 26호 10통 4반<NA><NA>명성20070516091920I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23유료직업소개소11_50_02_P3410000200234100131150000920020826<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 612번지 9호 1통 3반대구광역시 달서구 학산로7길 71-10 (본동)<NA>동인 유료직업소개소20060706142152I2018-08-31 23:59:59.0<NA>338187.7315260482.459709개인유료
34유료직업소개소11_50_02_P3410000200434100131150000620040503<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)<NA>뉴 강일20060630131358I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
45유료직업소개소11_50_02_P3410000200434100131150001620040821<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 444번지 4호 10통 6반대구광역시 중구 국채보상로 736-6 (동인동4가)<NA>일하는사람들20060706142510I2018-08-31 23:59:59.0<NA>345422.908159264310.188203개인유료
56유료직업소개소11_50_02_P3410000200634100131150000220051228<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 605호 24통 6반 만촌보성타운 107 805<NA><NA>(주)북성인력개발20070405184107I2018-08-31 23:59:59.0<NA>348337.430803265015.70761법인유료
67유료직업소개소11_50_02_P3410000200634100131150000320060104<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1123번지 20호 30통 4반 코오롱아파트 101 303<NA><NA>경상인력20070515181313I2018-08-31 23:59:59.0<NA>394026.819255189731.843003개인유료
78유료직업소개소11_50_02_P3410000200634100131150000620060421<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 113번지 2호 대구본리2단지 203 902<NA><NA>아이모어(주)20070206162038I2018-08-31 23:59:59.0<NA>336461.118773256734.376819법인유료
89유료직업소개소11_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
910유료직업소개소11_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
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30693070유료직업소개소11_50_02_P3480000202034803651450000420200324<NA>3폐업40폐업20220509<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 503번지 1호대구광역시 달성군 현풍읍 비슬로134길 7143000(주)피플인력개발20220509140159U2022-05-11 02:40:00.0<NA>330426.028874244984.082188법인유료
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30723073유료직업소개소11_50_02_P3480000199934800851150000219990702<NA>3폐업40폐업20001127<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 209번지 19호 5통 5반대구광역시 서구 서대구로8길 48-30 (내당동)<NA>하종수유료직업소개소20151105142048I2018-08-31 23:59:59.0<NA>341032.597232263415.498935개인유료
30733074유료직업소개소11_50_02_P3480000199934800851150000319990921<NA>3폐업40폐업20001006<NA><NA><NA>616 9177<NA><NA>대구광역시 달성군 논공읍 북리 803번지 4호 15통 9반 성원아파트 4 308대구광역시 달성군 논공읍 논공로23길 14, 4동 308호 (성원아파트)<NA>우상욱유료직업소개소20151105141721I2018-08-31 23:59:59.0<NA>330573.646469248885.61799개인유료
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