Overview

Dataset statistics

Number of variables30
Number of observations3147
Missing cells29014
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory777.7 KiB
Average record size in memory253.0 B

Variable types

Numeric5
Categorical9
DateTime4
Unsupported6
Text6

Dataset

Description23년06월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098653&dataSetDetailId=DDI_0000098669&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
법인구분명 is highly imbalanced (82.9%)Imbalance
구분명 is highly imbalanced (98.9%)Imbalance
인허가취소일자 has 3147 (100.0%) missing valuesMissing
폐업일자 has 1793 (57.0%) missing valuesMissing
휴업시작일자 has 3147 (100.0%) missing valuesMissing
휴업종료일자 has 3147 (100.0%) missing valuesMissing
재개업일자 has 3147 (100.0%) missing valuesMissing
소재지전화 has 2704 (85.9%) missing valuesMissing
소재지면적 has 3147 (100.0%) missing valuesMissing
소재지우편번호 has 2518 (80.0%) missing valuesMissing
도로명전체주소 has 747 (23.7%) missing valuesMissing
도로명우편번호 has 1904 (60.5%) missing valuesMissing
업태구분명 has 3147 (100.0%) missing valuesMissing
좌표정보(X) has 225 (7.1%) missing valuesMissing
좌표정보(Y) has 225 (7.1%) 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

Reproduction

Analysis started2023-12-10 19:20:58.902629
Analysis finished2023-12-10 19:21:00.343317
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1574
Minimum1
Maximum3147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T04:21:00.457628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile158.3
Q1787.5
median1574
Q32360.5
95-th percentile2989.7
Maximum3147
Range3146
Interquartile range (IQR)1573

Descriptive statistics

Standard deviation908.60497
Coefficient of variation (CV)0.57725856
Kurtosis-1.2
Mean1574
Median Absolute Deviation (MAD)787
Skewness0
Sum4953378
Variance825563
MonotonicityStrictly increasing
2023-12-11T04:21:00.712815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2092 1
 
< 0.1%
2094 1
 
< 0.1%
2095 1
 
< 0.1%
2096 1
 
< 0.1%
2097 1
 
< 0.1%
2098 1
 
< 0.1%
2099 1
 
< 0.1%
2100 1
 
< 0.1%
2101 1
 
< 0.1%
Other values (3137) 3137
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 (%)
3147 1
< 0.1%
3146 1
< 0.1%
3145 1
< 0.1%
3144 1
< 0.1%
3143 1
< 0.1%
3142 1
< 0.1%
3141 1
< 0.1%
3140 1
< 0.1%
3139 1
< 0.1%
3138 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
유료직업소개소
3147 

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 3147
100.0%

Length

2023-12-11T04:21:00.971382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:01.121884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3147
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
11_50_02_P
3147 

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 3147
100.0%

Length

2023-12-11T04:21:01.277504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:01.433354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3147
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443644.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T04:21:01.563510image/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 deviation23021.141
Coefficient of variation (CV)0.0066851091
Kurtosis-1.4810738
Mean3443644.7
Median Absolute Deviation (MAD)20000
Skewness-0.10646736
Sum1.083715 × 1010
Variance5.2997292 × 108
MonotonicityIncreasing
2023-12-11T04:21:01.753032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 698
22.2%
3460000 539
17.1%
3420000 519
16.5%
3410000 455
14.5%
3430000 332
10.5%
3440000 254
 
8.1%
3450000 230
 
7.3%
3480000 120
 
3.8%
ValueCountFrequency (%)
3410000 455
14.5%
3420000 519
16.5%
3430000 332
10.5%
3440000 254
 
8.1%
3450000 230
 
7.3%
3460000 539
17.1%
3470000 698
22.2%
3480000 120
 
3.8%
ValueCountFrequency (%)
3480000 120
 
3.8%
3470000 698
22.2%
3460000 539
17.1%
3450000 230
 
7.3%
3440000 254
 
8.1%
3430000 332
10.5%
3420000 519
16.5%
3410000 455
14.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0084855 × 1018
Minimum1.968341 × 1018
Maximum2.023348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T04:21:01.951651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998347 × 1018
Q12.0033425 × 1018
median2.006347 × 1018
Q32.014347 × 1018
95-th percentile2.022342 × 1018
Maximum2.023348 × 1018
Range5.5007029 × 1016
Interquartile range (IQR)1.1004508 × 1016

Descriptive statistics

Standard deviation7.9635177 × 1015
Coefficient of variation (CV)0.0039649367
Kurtosis2.5102474
Mean2.0084855 × 1018
Median Absolute Deviation (MAD)4.9950011 × 1015
Skewness-0.37958866
Sum-6.5294728 × 1018
Variance6.3417615 × 1031
MonotonicityNot monotonic
2023-12-11T04:21:02.185396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001341001311500007 1
 
< 0.1%
2008346007714500017 1
 
< 0.1%
2002346006511500017 1
 
< 0.1%
2002346006511500018 1
 
< 0.1%
2002346006511500019 1
 
< 0.1%
2002346006511500021 1
 
< 0.1%
2009346007714500023 1
 
< 0.1%
2009346007714500026 1
 
< 0.1%
2010346011314500008 1
 
< 0.1%
2011346012514500001 1
 
< 0.1%
Other values (3137) 3137
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 (%)
2023348036514500007 1
< 0.1%
2023348036514500006 1
< 0.1%
2023348036514500005 1
< 0.1%
2023348036514500004 1
< 0.1%
2023348036514500003 1
< 0.1%
2023347018114500016 1
< 0.1%
2023347018114500015 1
< 0.1%
2023347018114500014 1
< 0.1%
2023347018114500012 1
< 0.1%
2023347018114500011 1
< 0.1%

인허가일자
Date

Distinct2202
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
Minimum1968-12-30 00:00:00
Maximum2023-06-29 00:00:00
2023-12-11T04:21:02.389423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:21:02.654891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3147
Missing (%)100.0%
Memory size27.8 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
3
2321 
1
647 
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 2321
73.8%
1 647
 
20.6%
4 179
 
5.7%

Length

2023-12-11T04:21:02.877265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:03.028279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2321
73.8%
1 647
 
20.6%
4 179
 
5.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
폐업
2321 
영업/정상
647 
취소/말소/만료/정지/중지
 
179

Length

Max length14
Median length2
Mean length3.2993327
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 2321
73.8%
영업/정상 647
 
20.6%
취소/말소/만료/정지/중지 179
 
5.7%

Length

2023-12-11T04:21:03.210734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:03.384701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2321
73.8%
영업/정상 647
 
20.6%
취소/말소/만료/정지/중지 179
 
5.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
40
2321 
20
646 
70
 
179
90
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
40 2321
73.8%
20 646
 
20.5%
70 179
 
5.7%
90 1
 
< 0.1%

Length

2023-12-11T04:21:03.571808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:03.748584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2321
73.8%
20 646
 
20.5%
70 179
 
5.7%
90 1
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
폐업
2321 
영업중
646 
등록취소
 
179
경고조치
 
1

Length

Max length4
Median length2
Mean length2.3196695
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2321
73.8%
영업중 646
 
20.5%
등록취소 179
 
5.7%
경고조치 1
 
< 0.1%

Length

2023-12-11T04:21:03.934528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:04.141053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2321
73.8%
영업중 646
 
20.5%
등록취소 179
 
5.7%
경고조치 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1136
Distinct (%)83.9%
Missing1793
Missing (%)57.0%
Memory size24.7 KiB
Minimum1995-07-14 00:00:00
Maximum2023-06-28 00:00:00
2023-12-11T04:21:04.320835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:21:04.543640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3147
Missing (%)100.0%
Memory size27.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3147
Missing (%)100.0%
Memory size27.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3147
Missing (%)100.0%
Memory size27.8 KiB

소재지전화
Text

MISSING 

Distinct429
Distinct (%)96.8%
Missing2704
Missing (%)85.9%
Memory size24.7 KiB
2023-12-11T04:21:05.272891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.532731
Min length7

Characters and Unicode

Total characters5109
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

Unique418 ?
Unique (%)94.4%

Sample

1st row0547156677
2nd row053 422 5006
3rd row053 939 7770
4th row053 2431001
5th row053 655 8272
ValueCountFrequency (%)
053 376
33.2%
761 13
 
1.1%
611 12
 
1.1%
764 8
 
0.7%
744 8
 
0.7%
614 7
 
0.6%
742 7
 
0.6%
424 7
 
0.6%
768 7
 
0.6%
766 7
 
0.6%
Other values (547) 680
60.1%
2023-12-11T04:21:05.895238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 778
15.2%
5 759
14.9%
736
14.4%
3 656
12.8%
7 380
7.4%
1 357
7.0%
6 333
6.5%
4 326
6.4%
2 320
6.3%
9 258
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4373
85.6%
Space Separator 736
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 778
17.8%
5 759
17.4%
3 656
15.0%
7 380
8.7%
1 357
8.2%
6 333
7.6%
4 326
7.5%
2 320
7.3%
9 258
 
5.9%
8 206
 
4.7%
Space Separator
ValueCountFrequency (%)
736
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 778
15.2%
5 759
14.9%
736
14.4%
3 656
12.8%
7 380
7.4%
1 357
7.0%
6 333
6.5%
4 326
6.4%
2 320
6.3%
9 258
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 778
15.2%
5 759
14.9%
736
14.4%
3 656
12.8%
7 380
7.4%
1 357
7.0%
6 333
6.5%
4 326
6.4%
2 320
6.3%
9 258
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3147
Missing (%)100.0%
Memory size27.8 KiB

소재지우편번호
Text

MISSING 

Distinct269
Distinct (%)42.8%
Missing2518
Missing (%)80.0%
Memory size24.7 KiB
2023-12-11T04:21:06.397993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4403
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

Unique158 ?
Unique (%)25.1%

Sample

1st row700-351
2nd row705-815
3rd row700-823
4th row700-421
5th row700-421
ValueCountFrequency (%)
703-014 23
 
3.7%
703-062 18
 
2.9%
703-061 17
 
2.7%
706-032 17
 
2.7%
703-042 15
 
2.4%
700-111 15
 
2.4%
703-013 14
 
2.2%
701-816 13
 
2.1%
703-016 10
 
1.6%
701-827 10
 
1.6%
Other values (259) 477
75.8%
2023-12-11T04:21:07.097383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1041
23.6%
7 685
15.6%
- 629
14.3%
1 456
10.4%
3 332
 
7.5%
8 331
 
7.5%
2 256
 
5.8%
4 252
 
5.7%
6 235
 
5.3%
5 133
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3774
85.7%
Dash Punctuation 629
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1041
27.6%
7 685
18.2%
1 456
12.1%
3 332
 
8.8%
8 331
 
8.8%
2 256
 
6.8%
4 252
 
6.7%
6 235
 
6.2%
5 133
 
3.5%
9 53
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 629
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1041
23.6%
7 685
15.6%
- 629
14.3%
1 456
10.4%
3 332
 
7.5%
8 331
 
7.5%
2 256
 
5.8%
4 252
 
5.7%
6 235
 
5.3%
5 133
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1041
23.6%
7 685
15.6%
- 629
14.3%
1 456
10.4%
3 332
 
7.5%
8 331
 
7.5%
2 256
 
5.8%
4 252
 
5.7%
6 235
 
5.3%
5 133
 
3.0%

소재지전체주소
Text

Distinct2884
Distinct (%)92.1%
Missing16
Missing (%)0.5%
Memory size24.7 KiB
2023-12-11T04:21:07.690788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length28.611626
Min length12

Characters and Unicode

Total characters89583
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

Unique2686 ?
Unique (%)85.8%

Sample

1st row대구광역시 달서구 월성동 500번지 6호 20통 4반 월성영남맨션 101 1208
2nd row대구광역시 서구 내당동 11번지 8호 1통 2반 황제맨션 105 805
3rd row대구광역시 북구 대현동 112번지 49호 13통 3반
4th row대구광역시 중구 봉산동 172번지 26호 10통 4반
5th row대구광역시 달서구 본동 612번지 9호 1통 3반
ValueCountFrequency (%)
대구광역시 2908
 
14.6%
달서구 615
 
3.1%
수성구 507
 
2.5%
동구 470
 
2.4%
서구 366
 
1.8%
1호 355
 
1.8%
북구 300
 
1.5%
남구 275
 
1.4%
중구 225
 
1.1%
2층 204
 
1.0%
Other values (3349) 13692
68.7%
2023-12-11T04:21:08.519234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18948
21.2%
구 5781
 
6.5%
1 5163
 
5.8%
동 3440
 
3.8%
2 3281
 
3.7%
대 3261
 
3.6%
시 3107
 
3.5%
광 2948
 
3.3%
역 2934
 
3.3%
호 2848
 
3.2%
Other values (377) 37872
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48312
53.9%
Decimal Number 21708
24.2%
Space Separator 18948
 
21.2%
Dash Punctuation 368
 
0.4%
Other Punctuation 87
 
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 5781
 
12.0%
동 3440
 
7.1%
대 3261
 
6.7%
시 3107
 
6.4%
광 2948
 
6.1%
역 2934
 
6.1%
호 2848
 
5.9%
지 2456
 
5.1%
번 2276
 
4.7%
통 1234
 
2.6%
Other values (343) 18027
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%
G 2
 
3.1%
M 2
 
3.1%
H 1
 
1.6%
T 1
 
1.6%
P 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5163
23.8%
2 3281
15.1%
3 2375
10.9%
0 2373
10.9%
4 1901
 
8.8%
5 1630
 
7.5%
6 1419
 
6.5%
7 1316
 
6.1%
8 1166
 
5.4%
9 1084
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 53
60.9%
/ 27
31.0%
, 7
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
75.0%
a 1
 
12.5%
c 1
 
12.5%
Space Separator
ValueCountFrequency (%)
18948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48308
53.9%
Common 41199
46.0%
Latin 72
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5781
 
12.0%
동 3440
 
7.1%
대 3261
 
6.8%
시 3107
 
6.4%
광 2948
 
6.1%
역 2934
 
6.1%
호 2848
 
5.9%
지 2456
 
5.1%
번 2276
 
4.7%
통 1234
 
2.6%
Other values (341) 18023
37.3%
Common
ValueCountFrequency (%)
18948
46.0%
1 5163
 
12.5%
2 3281
 
8.0%
3 2375
 
5.8%
0 2373
 
5.8%
4 1901
 
4.6%
5 1630
 
4.0%
6 1419
 
3.4%
7 1316
 
3.2%
8 1166
 
2.8%
Other values (7) 1627
 
3.9%
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%
G 2
 
2.8%
M 2
 
2.8%
H 1
 
1.4%
T 1
 
1.4%
Other values (7) 7
 
9.7%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48307
53.9%
ASCII 41271
46.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18948
45.9%
1 5163
 
12.5%
2 3281
 
7.9%
3 2375
 
5.8%
0 2373
 
5.7%
4 1901
 
4.6%
5 1630
 
3.9%
6 1419
 
3.4%
7 1316
 
3.2%
8 1166
 
2.8%
Other values (24) 1699
 
4.1%
Hangul
ValueCountFrequency (%)
구 5781
 
12.0%
동 3440
 
7.1%
대 3261
 
6.8%
시 3107
 
6.4%
광 2948
 
6.1%
역 2934
 
6.1%
호 2848
 
5.9%
지 2456
 
5.1%
번 2276
 
4.7%
통 1234
 
2.6%
Other values (340) 18022
37.3%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2177
Distinct (%)90.7%
Missing747
Missing (%)23.7%
Memory size24.7 KiB
2023-12-11T04:21:09.102691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.73875
Min length19

Characters and Unicode

Total characters68973
Distinct characters380
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

Unique2001 ?
Unique (%)83.4%

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 2320
 
16.8%
수성구 444
 
3.2%
동구 429
 
3.1%
2층 389
 
2.8%
달서구 362
 
2.6%
서구 316
 
2.3%
북구 255
 
1.8%
남구 225
 
1.6%
중구 167
 
1.2%
1층 151
 
1.1%
Other values (2741) 8777
63.4%
2023-12-11T04:21:09.928026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11443
 
16.6%
구 4845
 
7.0%
동 3330
 
4.8%
대 2991
 
4.3%
1 2545
 
3.7%
시 2426
 
3.5%
로 2344
 
3.4%
광 2340
 
3.4%
역 2334
 
3.4%
( 2253
 
3.3%
Other values (370) 32122
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38987
56.5%
Decimal Number 11681
 
16.9%
Space Separator 11443
 
16.6%
Open Punctuation 2253
 
3.3%
Close Punctuation 2253
 
3.3%
Other Punctuation 1723
 
2.5%
Dash Punctuation 578
 
0.8%
Uppercase Letter 50
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4845
 
12.4%
동 3330
 
8.5%
대 2991
 
7.7%
시 2426
 
6.2%
로 2344
 
6.0%
광 2340
 
6.0%
역 2334
 
6.0%
길 1055
 
2.7%
성 1023
 
2.6%
서 899
 
2.3%
Other values (339) 15400
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 17
34.0%
A 12
24.0%
C 7
14.0%
D 3
 
6.0%
M 2
 
4.0%
G 2
 
4.0%
P 2
 
4.0%
S 2
 
4.0%
T 1
 
2.0%
K 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 2545
21.8%
2 2208
18.9%
3 1421
12.2%
0 1261
10.8%
4 912
 
7.8%
5 846
 
7.2%
6 720
 
6.2%
7 647
 
5.5%
8 611
 
5.2%
9 510
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1718
99.7%
/ 2
 
0.1%
. 2
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
c 1
 
20.0%
Space Separator
ValueCountFrequency (%)
11443
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 578
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38987
56.5%
Common 29931
43.4%
Latin 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4845
 
12.4%
동 3330
 
8.5%
대 2991
 
7.7%
시 2426
 
6.2%
로 2344
 
6.0%
광 2340
 
6.0%
역 2334
 
6.0%
길 1055
 
2.7%
성 1023
 
2.6%
서 899
 
2.3%
Other values (339) 15400
39.5%
Common
ValueCountFrequency (%)
11443
38.2%
1 2545
 
8.5%
( 2253
 
7.5%
) 2253
 
7.5%
2 2208
 
7.4%
, 1718
 
5.7%
3 1421
 
4.7%
0 1261
 
4.2%
4 912
 
3.0%
5 846
 
2.8%
Other values (8) 3071
 
10.3%
Latin
ValueCountFrequency (%)
B 17
30.9%
A 12
21.8%
C 7
12.7%
e 4
 
7.3%
D 3
 
5.5%
M 2
 
3.6%
G 2
 
3.6%
P 2
 
3.6%
S 2
 
3.6%
T 1
 
1.8%
Other values (3) 3
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38986
56.5%
ASCII 29985
43.5%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11443
38.2%
1 2545
 
8.5%
( 2253
 
7.5%
) 2253
 
7.5%
2 2208
 
7.4%
, 1718
 
5.7%
3 1421
 
4.7%
0 1261
 
4.2%
4 912
 
3.0%
5 846
 
2.8%
Other values (20) 3125
 
10.4%
Hangul
ValueCountFrequency (%)
구 4845
 
12.4%
동 3330
 
8.5%
대 2991
 
7.7%
시 2426
 
6.2%
로 2344
 
6.0%
광 2340
 
6.0%
역 2334
 
6.0%
길 1055
 
2.7%
성 1023
 
2.6%
서 899
 
2.3%
Other values (338) 15399
39.5%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct663
Distinct (%)53.3%
Missing1904
Missing (%)60.5%
Memory size24.7 KiB
2023-12-11T04:21:10.446676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.6049879
Min length5

Characters and Unicode

Total characters6967
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

Unique400 ?
Unique (%)32.2%

Sample

1st row41977
2nd row41918
3rd row41940
4th row41931
5th row39202
ValueCountFrequency (%)
701-816 13
 
1.0%
42612 13
 
1.0%
706-032 12
 
1.0%
706-852 11
 
0.9%
42661 10
 
0.8%
42696 9
 
0.7%
41207 8
 
0.6%
41249 8
 
0.6%
41264 8
 
0.6%
42784 8
 
0.6%
Other values (653) 1143
92.0%
2023-12-11T04:21:11.084553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1291
18.5%
1 969
13.9%
2 876
12.6%
0 784
11.3%
7 715
10.3%
8 525
7.5%
6 459
 
6.6%
- 376
 
5.4%
3 338
 
4.9%
9 324
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6591
94.6%
Dash Punctuation 376
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1291
19.6%
1 969
14.7%
2 876
13.3%
0 784
11.9%
7 715
10.8%
8 525
8.0%
6 459
 
7.0%
3 338
 
5.1%
9 324
 
4.9%
5 310
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1291
18.5%
1 969
13.9%
2 876
12.6%
0 784
11.3%
7 715
10.3%
8 525
7.5%
6 459
 
6.6%
- 376
 
5.4%
3 338
 
4.9%
9 324
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1291
18.5%
1 969
13.9%
2 876
12.6%
0 784
11.3%
7 715
10.3%
8 525
7.5%
6 459
 
6.6%
- 376
 
5.4%
3 338
 
4.9%
9 324
 
4.7%

사업장명
Text

Distinct2648
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-11T04:21:11.534326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.6234509
Min length1

Characters and Unicode

Total characters27138
Distinct characters560
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

Unique2310 ?
Unique (%)73.4%

Sample

1st row명성 유료직업소개소
2nd row효성
3rd row동양
4th row명성
5th row동인 유료직업소개소
ValueCountFrequency (%)
유료직업소개소 529
 
13.6%
직업소개소 56
 
1.4%
주식회사 27
 
0.7%
미래직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
대한유료직업소개소 8
 
0.2%
삼성 7
 
0.2%
인력 7
 
0.2%
인력개발 6
 
0.2%
대림인력개발 6
 
0.2%
Other values (2609) 3215
82.9%
2023-12-11T04:21:12.250781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4484
16.5%
개 2623
 
9.7%
업 2276
 
8.4%
직 2221
 
8.2%
유 1515
 
5.6%
료 1487
 
5.5%
인 747
 
2.8%
732
 
2.7%
력 671
 
2.5%
발 409
 
1.5%
Other values (550) 9973
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25717
94.8%
Space Separator 732
 
2.7%
Close Punctuation 166
 
0.6%
Open Punctuation 166
 
0.6%
Decimal Number 154
 
0.6%
Uppercase Letter 133
 
0.5%
Lowercase Letter 50
 
0.2%
Other Punctuation 17
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4484
17.4%
개 2623
 
10.2%
업 2276
 
8.9%
직 2221
 
8.6%
유 1515
 
5.9%
료 1487
 
5.8%
인 747
 
2.9%
력 671
 
2.6%
발 409
 
1.6%
대 383
 
1.5%
Other values (487) 8901
34.6%
Uppercase Letter
ValueCountFrequency (%)
K 21
15.8%
O 12
 
9.0%
S 12
 
9.0%
C 12
 
9.0%
J 11
 
8.3%
H 7
 
5.3%
E 6
 
4.5%
F 5
 
3.8%
B 5
 
3.8%
M 5
 
3.8%
Other values (12) 37
27.8%
Lowercase Letter
ValueCountFrequency (%)
o 11
22.0%
n 6
12.0%
s 4
 
8.0%
e 4
 
8.0%
l 3
 
6.0%
b 3
 
6.0%
k 3
 
6.0%
a 3
 
6.0%
i 2
 
4.0%
h 1
 
2.0%
Other values (10) 10
20.0%
Decimal Number
ValueCountFrequency (%)
2 37
24.0%
1 31
20.1%
0 19
12.3%
3 17
11.0%
8 13
 
8.4%
5 12
 
7.8%
7 7
 
4.5%
4 6
 
3.9%
6 6
 
3.9%
9 6
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
' 1
 
5.9%
, 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 165
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 165
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
732
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25718
94.8%
Common 1237
 
4.6%
Latin 183
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4484
17.4%
개 2623
 
10.2%
업 2276
 
8.8%
직 2221
 
8.6%
유 1515
 
5.9%
료 1487
 
5.8%
인 747
 
2.9%
력 671
 
2.6%
발 409
 
1.6%
대 383
 
1.5%
Other values (488) 8902
34.6%
Latin
ValueCountFrequency (%)
K 21
 
11.5%
O 12
 
6.6%
S 12
 
6.6%
C 12
 
6.6%
J 11
 
6.0%
o 11
 
6.0%
H 7
 
3.8%
E 6
 
3.3%
n 6
 
3.3%
F 5
 
2.7%
Other values (32) 80
43.7%
Common
ValueCountFrequency (%)
732
59.2%
) 165
 
13.3%
( 165
 
13.3%
2 37
 
3.0%
1 31
 
2.5%
0 19
 
1.5%
3 17
 
1.4%
8 13
 
1.1%
5 12
 
1.0%
. 11
 
0.9%
Other values (10) 35
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25717
94.8%
ASCII 1420
 
5.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4484
17.4%
개 2623
 
10.2%
업 2276
 
8.9%
직 2221
 
8.6%
유 1515
 
5.9%
료 1487
 
5.8%
인 747
 
2.9%
력 671
 
2.6%
발 409
 
1.6%
대 383
 
1.5%
Other values (487) 8901
34.6%
ASCII
ValueCountFrequency (%)
732
51.5%
) 165
 
11.6%
( 165
 
11.6%
2 37
 
2.6%
1 31
 
2.2%
K 21
 
1.5%
0 19
 
1.3%
3 17
 
1.2%
8 13
 
0.9%
5 12
 
0.8%
Other values (52) 208
 
14.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct3147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
Minimum2003-03-04 16:11:34
Maximum2023-06-29 15:40:26
2023-12-11T04:21:12.447070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:21:12.661660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
I
2298 
U
849 

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 2298
73.0%
U 849
 
27.0%

Length

2023-12-11T04:21:12.902423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:13.062030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2298
73.0%
u 849
 
27.0%

데이터갱신일자
Date

Distinct527
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 02:40:00
2023-12-11T04:21:13.226472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:21:13.461882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3147
Missing (%)100.0%
Memory size27.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2319
Distinct (%)79.4%
Missing225
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean342597.31
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T04:21:13.674037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331563.76
Q1339876.89
median342926.39
Q3346482.01
95-th percentile354030.43
Maximum545499.31
Range377190.42
Interquartile range (IQR)6605.1198

Descriptive statistics

Standard deviation14958.93
Coefficient of variation (CV)0.043663302
Kurtosis63.57136
Mean342597.31
Median Absolute Deviation (MAD)3281.1383
Skewness-4.0684241
Sum1.0010693 × 109
Variance2.2376958 × 108
MonotonicityNot monotonic
2023-12-11T04:21:13.920838image/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%
344686.25933796 6
 
0.2%
335580.93556905 6
 
0.2%
348506.422520115 6
 
0.2%
338608.236267503 6
 
0.2%
343205.435118708 5
 
0.2%
340456.988127354 5
 
0.2%
346073.048649748 5
 
0.2%
Other values (2309) 2857
90.8%
(Missing) 225
 
7.1%
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 

Distinct2319
Distinct (%)79.4%
Missing225
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean264086.33
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T04:21:14.181525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256528.97
Q1261136.31
median263260.39
Q3265278.72
95-th percentile270730.84
Maximum488962.84
Range330838.62
Interquartile range (IQR)4142.4041

Descriptive statistics

Standard deviation17381.812
Coefficient of variation (CV)0.065818674
Kurtosis79.56298
Mean264086.33
Median Absolute Deviation (MAD)2064.0421
Skewness7.3334362
Sum7.7166027 × 108
Variance3.021274 × 108
MonotonicityNot monotonic
2023-12-11T04:21:14.421473image/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%
263958.880864104 6
 
0.2%
262368.945365499 6
 
0.2%
259488.824789494 6
 
0.2%
259355.475150091 6
 
0.2%
261598.284358334 5
 
0.2%
264420.834912707 5
 
0.2%
264848.319665179 5
 
0.2%
Other values (2309) 2857
90.8%
(Missing) 225
 
7.1%
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 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
개인
3006 
법인
 
138
<NA>
 
3

Length

Max length4
Median length2
Mean length2.0019066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 3006
95.5%
법인 138
 
4.4%
<NA> 3
 
0.1%

Length

2023-12-11T04:21:14.668713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:14.864793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 3006
95.5%
법인 138
 
4.4%
na 3
 
0.1%

구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
유료
3144 
<NA>
 
3

Length

Max length4
Median length2
Mean length2.0019066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3144
99.9%
<NA> 3
 
0.1%

Length

2023-12-11T04:21:15.078184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:21:15.252571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3144
99.9%
na 3
 
0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P341000020013410013115000072001-08-04<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 500번지 6호 20통 4반 월성영남맨션 101 1208<NA><NA>명성 유료직업소개소2007-05-16 08:51:38I2018-08-31 23:59:59<NA>338608.236268259355.47515개인유료
12유료직업소개소11_50_02_P341000020013410079115000102001-06-14<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 11번지 8호 1통 2반 황제맨션 105 805<NA><NA>효성2007-05-08 09:56:19I2018-08-31 23:59:59<NA>341280.535602263833.483112개인유료
23유료직업소개소11_50_02_P341000020013410079115000112001-09-17<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>동양2007-05-08 13:18:11I2018-08-31 23:59:59<NA>345380.836632266161.107461개인유료
34유료직업소개소11_50_02_P341000020013410080115000012001-08-04<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 172번지 26호 10통 4반<NA><NA>명성2007-05-16 09:19:20I2018-08-31 23:59:59<NA><NA><NA>개인유료
45유료직업소개소11_50_02_P341000020023410013115000092002-08-26<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 유료직업소개소2006-07-06 14:21:52I2018-08-31 23:59:59<NA>338187.7315260482.459709개인유료
56유료직업소개소11_50_02_P341000020043410013115000062004-05-03<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 강일2006-06-30 13:13:58I2018-08-31 23:59:59<NA><NA><NA>개인유료
67유료직업소개소11_50_02_P341000020043410013115000162004-08-21<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>일하는사람들2006-07-06 14:25:10I2018-08-31 23:59:59<NA>345422.908159264310.188203개인유료
78유료직업소개소11_50_02_P341000020063410013115000012005-12-28<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경상북도 경산시 계양동 692번지 8호 28통 6반 연안골든빌라 A 501<NA><NA>대경어머니회2006-05-15 15:17:15I2018-08-31 23:59:59<NA>358161.206364258744.934021개인유료
89유료직업소개소11_50_02_P341000020063410013115000022005-12-28<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 605호 24통 6반 만촌보성타운 107 805<NA><NA>(주)북성인력개발2007-04-05 18:41:07I2018-08-31 23:59:59<NA>348337.430803265015.70761법인유료
910유료직업소개소11_50_02_P341000020063410013115000032006-01-04<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1123번지 20호 30통 4반 코오롱아파트 101 303<NA><NA>경상인력2007-05-15 18:13:13I2018-08-31 23:59:59<NA>394026.819255189731.843003개인유료
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
31373138유료직업소개소11_50_02_P348000020193480365145000012019-03-16<NA>3폐업40폐업2019-03-29<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 503번지 1호대구광역시 달성군 현풍읍 비슬로134길 7143000피플스토리 인력2019-03-29 14:45:31U2019-03-31 02:40:00<NA>330426.028874244984.082188개인유료
31383139유료직업소개소11_50_02_P348000020193480365145000032019-04-03<NA>3폐업40폐업2020-03-12<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 503번지 1호대구광역시 달성군 현풍읍 비슬로134길 7143000피플인력2020-03-12 10:18:21U2020-03-14 02:40:00<NA>330426.028874244984.082188법인유료
31393140유료직업소개소11_50_02_P348000020193480365145000042019-04-24<NA>3폐업40폐업2020-03-31<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 39번지 12호대구광역시 달성군 화원읍 화원로1길 15-1442955다이아몬드2020-03-31 14:05:52U2020-04-02 02:40:00<NA>335495.5686257118.443846개인유료
31403141유료직업소개소11_50_02_P348000020203480365145000042020-03-24<NA>3폐업40폐업2022-05-09<NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 부리 503번지 1호대구광역시 달성군 현풍읍 비슬로134길 7143000(주)피플인력개발2022-05-09 14:01:59U2022-05-11 02:40:00<NA>330426.028874244984.082188법인유료
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