Overview

Dataset statistics

Number of variables30
Number of observations3235
Missing cells29729
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory799.4 KiB
Average record size in memory253.0 B

Variable types

Numeric5
Categorical9
DateTime4
Unsupported6
Text6

Dataset

Description24년03월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106558&dataSetDetailId=DDI_0000106606&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
법인구분명 is highly imbalanced (82.9%)Imbalance
구분명 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3235 (100.0%) missing valuesMissing
폐업일자 has 1823 (56.4%) missing valuesMissing
휴업시작일자 has 3235 (100.0%) missing valuesMissing
휴업종료일자 has 3235 (100.0%) missing valuesMissing
재개업일자 has 3235 (100.0%) missing valuesMissing
소재지전화 has 2772 (85.7%) missing valuesMissing
소재지면적 has 3235 (100.0%) missing valuesMissing
소재지우편번호 has 2607 (80.6%) missing valuesMissing
도로명전체주소 has 747 (23.1%) missing valuesMissing
도로명우편번호 has 1904 (58.9%) missing valuesMissing
업태구분명 has 3235 (100.0%) missing valuesMissing
좌표정보(X) has 224 (6.9%) missing valuesMissing
좌표정보(Y) has 224 (6.9%) 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 started2024-04-29 12:19:46.719966
Analysis finished2024-04-29 12:19:48.114930
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1618
Minimum1
Maximum3235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-29T21:19:48.196692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile162.7
Q1809.5
median1618
Q32426.5
95-th percentile3073.3
Maximum3235
Range3234
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation934.00839
Coefficient of variation (CV)0.57726105
Kurtosis-1.2
Mean1618
Median Absolute Deviation (MAD)809
Skewness0
Sum5234230
Variance872371.67
MonotonicityStrictly increasing
2024-04-29T21:19:48.335740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2162 1
 
< 0.1%
2152 1
 
< 0.1%
2153 1
 
< 0.1%
2154 1
 
< 0.1%
2155 1
 
< 0.1%
2156 1
 
< 0.1%
2157 1
 
< 0.1%
2158 1
 
< 0.1%
2159 1
 
< 0.1%
Other values (3225) 3225
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 (%)
3235 1
< 0.1%
3234 1
< 0.1%
3233 1
< 0.1%
3232 1
< 0.1%
3231 1
< 0.1%
3230 1
< 0.1%
3229 1
< 0.1%
3228 1
< 0.1%
3227 1
< 0.1%
3226 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
유료직업소개소
3235 

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 3235
100.0%

Length

2024-04-29T21:19:48.480495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:48.581977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3235
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
11_50_02_P
3235 

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 3235
100.0%

Length

2024-04-29T21:19:48.675545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:48.761663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3235
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450498.6
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-29T21:19:48.844153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3470000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation109830.01
Coefficient of variation (CV)0.031830185
Kurtosis223.04236
Mean3450498.6
Median Absolute Deviation (MAD)20000
Skewness14.658124
Sum1.1162363 × 1010
Variance1.2062631 × 1010
MonotonicityIncreasing
2024-04-29T21:19:48.951687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 715
22.1%
3460000 548
16.9%
3420000 537
16.6%
3410000 461
14.3%
3430000 340
10.5%
3440000 261
 
8.1%
3450000 233
 
7.2%
3480000 127
 
3.9%
5141000 13
 
0.4%
ValueCountFrequency (%)
3410000 461
14.3%
3420000 537
16.6%
3430000 340
10.5%
3440000 261
 
8.1%
3450000 233
 
7.2%
3460000 548
16.9%
3470000 715
22.1%
3480000 127
 
3.9%
5141000 13
 
0.4%
ValueCountFrequency (%)
5141000 13
 
0.4%
3480000 127
 
3.9%
3470000 715
22.1%
3460000 548
16.9%
3450000 233
 
7.2%
3440000 261
 
8.1%
3430000 340
10.5%
3420000 537
16.6%
3410000 461
14.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0088851 × 1018
Minimum1.968341 × 1018
Maximum2.024348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-29T21:19:49.089421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.999341 × 1018
Q12.003343 × 1018
median2.006347 × 1018
Q32.015344 × 1018
95-th percentile2.0227621 × 1018
Maximum2.024348 × 1018
Range5.6007029 × 1016
Interquartile range (IQR)1.2001005 × 1016

Descriptive statistics

Standard deviation8.2201013 × 1015
Coefficient of variation (CV)0.0040918723
Kurtosis2.0730611
Mean2.0088851 × 1018
Median Absolute Deviation (MAD)4.9990025 × 1015
Skewness-0.31715533
Sum5.4893522 × 1018
Variance6.7570066 × 1031
MonotonicityNot monotonic
2024-04-29T21:19:49.215213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000341007911500017 1
 
< 0.1%
2004346006511500006 1
 
< 0.1%
2012346012514500006 1
 
< 0.1%
2012346012514500008 1
 
< 0.1%
2012346012514500009 1
 
< 0.1%
2012346012514500010 1
 
< 0.1%
2012346012514500012 1
 
< 0.1%
2012346012514500013 1
 
< 0.1%
2012346012514500014 1
 
< 0.1%
2013346012514500001 1
 
< 0.1%
Other values (3225) 3225
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 (%)
2024348036514500003 1
< 0.1%
2024348036514500002 1
< 0.1%
2024348036514500001 1
< 0.1%
2024347020114500004 1
< 0.1%
2024347020114500003 1
< 0.1%
2024347020114500002 1
< 0.1%
2024347020114500001 1
< 0.1%
2024346017714500004 1
< 0.1%
2024346017714500003 1
< 0.1%
2024346017714500002 1
< 0.1%

인허가일자
Date

Distinct2273
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum1968-12-30 00:00:00
Maximum2024-03-29 00:00:00
2024-04-29T21:19:49.346515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:19:49.481112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3235
Missing (%)100.0%
Memory size28.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
3
2377 
1
676 
4
 
182

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 2377
73.5%
1 676
 
20.9%
4 182
 
5.6%

Length

2024-04-29T21:19:49.626225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:49.724624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2377
73.5%
1 676
 
20.9%
4 182
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
폐업
2377 
영업/정상
676 
취소/말소/만료/정지/중지
 
182

Length

Max length14
Median length2
Mean length3.3020093
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 2377
73.5%
영업/정상 676
 
20.9%
취소/말소/만료/정지/중지 182
 
5.6%

Length

2024-04-29T21:19:49.827590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:49.932951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2377
73.5%
영업/정상 676
 
20.9%
취소/말소/만료/정지/중지 182
 
5.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
40
2377 
20
676 
70
 
181
80
 
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 2377
73.5%
20 676
 
20.9%
70 181
 
5.6%
80 1
 
< 0.1%

Length

2024-04-29T21:19:50.039104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:50.139784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2377
73.5%
20 676
 
20.9%
70 181
 
5.6%
80 1
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
폐업
2377 
영업중
676 
등록취소
 
181
사업정지
 
1

Length

Max length4
Median length2
Mean length2.3214838
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2377
73.5%
영업중 676
 
20.9%
등록취소 181
 
5.6%
사업정지 1
 
< 0.1%

Length

2024-04-29T21:19:50.250665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:50.357315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2377
73.5%
영업중 676
 
20.9%
등록취소 181
 
5.6%
사업정지 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1187
Distinct (%)84.1%
Missing1823
Missing (%)56.4%
Memory size25.4 KiB
Minimum1995-07-14 00:00:00
Maximum2024-03-26 00:00:00
2024-04-29T21:19:50.492756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:19:50.634740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3235
Missing (%)100.0%
Memory size28.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3235
Missing (%)100.0%
Memory size28.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3235
Missing (%)100.0%
Memory size28.6 KiB

소재지전화
Text

MISSING 

Distinct449
Distinct (%)97.0%
Missing2772
Missing (%)85.7%
Memory size25.4 KiB
2024-04-29T21:19:50.907167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.490281
Min length7

Characters and Unicode

Total characters5320
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

Unique438 ?
Unique (%)94.6%

Sample

1st row053 422 5006
2nd row0547156677
3rd row053 422 5082
4th row053 939 7770
5th row053 2431001
ValueCountFrequency (%)
053 380
32.8%
761 13
 
1.1%
611 12
 
1.0%
744 8
 
0.7%
766 7
 
0.6%
424 7
 
0.6%
614 7
 
0.6%
768 7
 
0.6%
742 7
 
0.6%
753 6
 
0.5%
Other values (572) 706
60.9%
2024-04-29T21:19:51.288526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 813
15.3%
5 800
15.0%
746
14.0%
3 692
13.0%
7 392
7.4%
1 369
6.9%
6 347
6.5%
4 343
6.4%
2 335
6.3%
9 263
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4574
86.0%
Space Separator 746
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 813
17.8%
5 800
17.5%
3 692
15.1%
7 392
8.6%
1 369
8.1%
6 347
7.6%
4 343
7.5%
2 335
7.3%
9 263
 
5.7%
8 220
 
4.8%
Space Separator
ValueCountFrequency (%)
746
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 813
15.3%
5 800
15.0%
746
14.0%
3 692
13.0%
7 392
7.4%
1 369
6.9%
6 347
6.5%
4 343
6.4%
2 335
6.3%
9 263
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 813
15.3%
5 800
15.0%
746
14.0%
3 692
13.0%
7 392
7.4%
1 369
6.9%
6 347
6.5%
4 343
6.4%
2 335
6.3%
9 263
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3235
Missing (%)100.0%
Memory size28.6 KiB

소재지우편번호
Text

MISSING 

Distinct269
Distinct (%)42.8%
Missing2607
Missing (%)80.6%
Memory size25.4 KiB
2024-04-29T21:19:51.816359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4396
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 (%)25.2%

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%
706-032 17
 
2.7%
703-061 17
 
2.7%
700-111 15
 
2.4%
703-042 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) 476
75.8%
2024-04-29T21:19:52.325140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1040
23.7%
7 684
15.6%
- 628
14.3%
1 455
10.4%
3 331
 
7.5%
8 330
 
7.5%
2 256
 
5.8%
4 252
 
5.7%
6 235
 
5.3%
5 132
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3768
85.7%
Dash Punctuation 628
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1040
27.6%
7 684
18.2%
1 455
12.1%
3 331
 
8.8%
8 330
 
8.8%
2 256
 
6.8%
4 252
 
6.7%
6 235
 
6.2%
5 132
 
3.5%
9 53
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 628
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1040
23.7%
7 684
15.6%
- 628
14.3%
1 455
10.4%
3 331
 
7.5%
8 330
 
7.5%
2 256
 
5.8%
4 252
 
5.7%
6 235
 
5.3%
5 132
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1040
23.7%
7 684
15.6%
- 628
14.3%
1 455
10.4%
3 331
 
7.5%
8 330
 
7.5%
2 256
 
5.8%
4 252
 
5.7%
6 235
 
5.3%
5 132
 
3.0%

소재지전체주소
Text

Distinct2962
Distinct (%)92.1%
Missing18
Missing (%)0.6%
Memory size25.4 KiB
2024-04-29T21:19:52.662621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length28.3811
Min length12

Characters and Unicode

Total characters91302
Distinct characters391
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

Unique2757 ?
Unique (%)85.7%

Sample

1st row대구광역시 북구 칠성동2가 409번지 171호 18통 3반
2nd row대구광역시 수성구 범어동 88번지 38호 3통 6반 드림파크뷰 104 302
3rd row대구광역시 중구 북성로1가 2번지 17호 2층
4th row대구광역시 남구 대명10동 1226번지 55호 2층
5th row경상북도 울릉군 울릉읍 도동리 289번지 1호 3통
ValueCountFrequency (%)
대구광역시 2994
 
14.8%
달서구 633
 
3.1%
수성구 516
 
2.5%
동구 487
 
2.4%
서구 374
 
1.8%
1호 353
 
1.7%
북구 304
 
1.5%
남구 283
 
1.4%
중구 229
 
1.1%
2층 201
 
1.0%
Other values (3440) 13908
68.6%
2024-04-29T21:19:53.119059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19227
21.1%
구 5937
 
6.5%
1 5239
 
5.7%
동 3530
 
3.9%
대 3353
 
3.7%
2 3328
 
3.6%
시 3194
 
3.5%
광 3035
 
3.3%
역 3020
 
3.3%
호 2846
 
3.1%
Other values (381) 38593
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49315
54.0%
Decimal Number 22067
24.2%
Space Separator 19227
 
21.1%
Dash Punctuation 446
 
0.5%
Other Punctuation 86
 
0.1%
Uppercase Letter 64
 
0.1%
Open Punctuation 44
 
< 0.1%
Close Punctuation 44
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5937
 
12.0%
동 3530
 
7.2%
대 3353
 
6.8%
시 3194
 
6.5%
광 3035
 
6.2%
역 3020
 
6.1%
호 2846
 
5.8%
지 2457
 
5.0%
번 2275
 
4.6%
통 1233
 
2.5%
Other values (346) 18435
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 22
34.4%
A 20
31.2%
C 5
 
7.8%
D 4
 
6.2%
M 2
 
3.1%
L 2
 
3.1%
G 2
 
3.1%
S 1
 
1.6%
T 1
 
1.6%
P 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5239
23.7%
2 3328
15.1%
3 2409
10.9%
0 2397
10.9%
4 1942
 
8.8%
5 1657
 
7.5%
6 1446
 
6.6%
7 1340
 
6.1%
8 1197
 
5.4%
9 1112
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
66.7%
a 1
 
11.1%
c 1
 
11.1%
m 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 53
61.6%
/ 27
31.4%
, 6
 
7.0%
Space Separator
ValueCountFrequency (%)
19227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49311
54.0%
Common 41914
45.9%
Latin 73
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5937
 
12.0%
동 3530
 
7.2%
대 3353
 
6.8%
시 3194
 
6.5%
광 3035
 
6.2%
역 3020
 
6.1%
호 2846
 
5.8%
지 2457
 
5.0%
번 2275
 
4.6%
통 1233
 
2.5%
Other values (344) 18431
37.4%
Latin
ValueCountFrequency (%)
B 22
30.1%
A 20
27.4%
e 6
 
8.2%
C 5
 
6.8%
D 4
 
5.5%
M 2
 
2.7%
L 2
 
2.7%
G 2
 
2.7%
S 1
 
1.4%
T 1
 
1.4%
Other values (8) 8
 
11.0%
Common
ValueCountFrequency (%)
19227
45.9%
1 5239
 
12.5%
2 3328
 
7.9%
3 2409
 
5.7%
0 2397
 
5.7%
4 1942
 
4.6%
5 1657
 
4.0%
6 1446
 
3.4%
7 1340
 
3.2%
8 1197
 
2.9%
Other values (7) 1732
 
4.1%
Han
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49310
54.0%
ASCII 41987
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19227
45.8%
1 5239
 
12.5%
2 3328
 
7.9%
3 2409
 
5.7%
0 2397
 
5.7%
4 1942
 
4.6%
5 1657
 
3.9%
6 1446
 
3.4%
7 1340
 
3.2%
8 1197
 
2.9%
Other values (25) 1805
 
4.3%
Hangul
ValueCountFrequency (%)
구 5937
 
12.0%
동 3530
 
7.2%
대 3353
 
6.8%
시 3194
 
6.5%
광 3035
 
6.2%
역 3020
 
6.1%
호 2846
 
5.8%
지 2457
 
5.0%
번 2275
 
4.6%
통 1233
 
2.5%
Other values (343) 18430
37.4%
CJK
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2255
Distinct (%)90.6%
Missing747
Missing (%)23.1%
Memory size25.4 KiB
2024-04-29T21:19:53.480864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.747186
Min length19

Characters and Unicode

Total characters71523
Distinct characters383
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

Unique2072 ?
Unique (%)83.3%

Sample

1st row대구광역시 북구 칠성로 101-10 (칠성동2가)
2nd row대구광역시 중구 동성로 88, 2층 (북성로1가)
3rd row대구광역시 남구 성당로 16-2 (대명동,2층)
4th row대구광역시 북구 경대로5길 30-11 (대현동)
5th row대구광역시 달서구 학산로7길 71-10 (본동)
ValueCountFrequency (%)
대구광역시 2408
 
16.7%
수성구 453
 
3.1%
동구 446
 
3.1%
2층 414
 
2.9%
달서구 380
 
2.6%
서구 324
 
2.3%
북구 259
 
1.8%
남구 233
 
1.6%
1층 175
 
1.2%
중구 171
 
1.2%
Other values (2798) 9123
63.4%
2024-04-29T21:19:53.962563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11906
 
16.6%
구 5009
 
7.0%
동 3433
 
4.8%
대 3094
 
4.3%
1 2628
 
3.7%
시 2515
 
3.5%
광 2429
 
3.4%
역 2422
 
3.4%
로 2421
 
3.4%
( 2322
 
3.2%
Other values (373) 33344
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40418
56.5%
Decimal Number 12095
 
16.9%
Space Separator 11906
 
16.6%
Open Punctuation 2322
 
3.2%
Close Punctuation 2322
 
3.2%
Other Punctuation 1804
 
2.5%
Dash Punctuation 598
 
0.8%
Uppercase Letter 52
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5009
 
12.4%
동 3433
 
8.5%
대 3094
 
7.7%
시 2515
 
6.2%
광 2429
 
6.0%
역 2422
 
6.0%
로 2421
 
6.0%
길 1092
 
2.7%
성 1046
 
2.6%
서 931
 
2.3%
Other values (341) 16026
39.7%
Uppercase Letter
ValueCountFrequency (%)
B 19
36.5%
A 12
23.1%
C 7
 
13.5%
D 3
 
5.8%
P 2
 
3.8%
G 2
 
3.8%
M 2
 
3.8%
S 2
 
3.8%
K 1
 
1.9%
Y 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 2628
21.7%
2 2299
19.0%
3 1469
12.1%
0 1298
10.7%
4 951
 
7.9%
5 876
 
7.2%
6 745
 
6.2%
7 668
 
5.5%
8 635
 
5.3%
9 526
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 1799
99.7%
/ 2
 
0.1%
. 2
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
c 1
 
16.7%
m 1
 
16.7%
Space Separator
ValueCountFrequency (%)
11906
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2322
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 598
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40418
56.5%
Common 31047
43.4%
Latin 58
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5009
 
12.4%
동 3433
 
8.5%
대 3094
 
7.7%
시 2515
 
6.2%
광 2429
 
6.0%
역 2422
 
6.0%
로 2421
 
6.0%
길 1092
 
2.7%
성 1046
 
2.6%
서 931
 
2.3%
Other values (341) 16026
39.7%
Common
ValueCountFrequency (%)
11906
38.3%
1 2628
 
8.5%
( 2322
 
7.5%
) 2322
 
7.5%
2 2299
 
7.4%
, 1799
 
5.8%
3 1469
 
4.7%
0 1298
 
4.2%
4 951
 
3.1%
5 876
 
2.8%
Other values (8) 3177
 
10.2%
Latin
ValueCountFrequency (%)
B 19
32.8%
A 12
20.7%
C 7
 
12.1%
e 4
 
6.9%
D 3
 
5.2%
P 2
 
3.4%
G 2
 
3.4%
M 2
 
3.4%
S 2
 
3.4%
c 1
 
1.7%
Other values (4) 4
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40417
56.5%
ASCII 31104
43.5%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11906
38.3%
1 2628
 
8.4%
( 2322
 
7.5%
) 2322
 
7.5%
2 2299
 
7.4%
, 1799
 
5.8%
3 1469
 
4.7%
0 1298
 
4.2%
4 951
 
3.1%
5 876
 
2.8%
Other values (21) 3234
 
10.4%
Hangul
ValueCountFrequency (%)
구 5009
 
12.4%
동 3433
 
8.5%
대 3094
 
7.7%
시 2515
 
6.2%
광 2429
 
6.0%
역 2422
 
6.0%
로 2421
 
6.0%
길 1092
 
2.7%
성 1046
 
2.6%
서 931
 
2.3%
Other values (340) 16025
39.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Text

MISSING 

Distinct700
Distinct (%)52.6%
Missing1904
Missing (%)58.9%
Memory size25.4 KiB
2024-04-29T21:19:54.280222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5664914
Min length5

Characters and Unicode

Total characters7409
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 (%)31.3%

Sample

1st row700-824
2nd row41977
3rd row41918
4th row41940
5th row41931
ValueCountFrequency (%)
42612 13
 
1.0%
701-816 13
 
1.0%
706-032 12
 
0.9%
41249 11
 
0.8%
706-852 11
 
0.8%
42661 10
 
0.8%
42696 9
 
0.7%
42784 8
 
0.6%
41184 8
 
0.6%
41207 8
 
0.6%
Other values (690) 1228
92.3%
2024-04-29T21:19:54.760898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1394
18.8%
1 1041
14.1%
2 946
12.8%
0 817
11.0%
7 754
10.2%
8 540
 
7.3%
6 484
 
6.5%
- 377
 
5.1%
3 368
 
5.0%
9 364
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7032
94.9%
Dash Punctuation 377
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1394
19.8%
1 1041
14.8%
2 946
13.5%
0 817
11.6%
7 754
10.7%
8 540
 
7.7%
6 484
 
6.9%
3 368
 
5.2%
9 364
 
5.2%
5 324
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1394
18.8%
1 1041
14.1%
2 946
12.8%
0 817
11.0%
7 754
10.2%
8 540
 
7.3%
6 484
 
6.5%
- 377
 
5.1%
3 368
 
5.0%
9 364
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1394
18.8%
1 1041
14.1%
2 946
12.8%
0 817
11.0%
7 754
10.2%
8 540
 
7.3%
6 484
 
6.5%
- 377
 
5.1%
3 368
 
5.0%
9 364
 
4.9%

사업장명
Text

Distinct2720
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
2024-04-29T21:19:55.072884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.5885626
Min length1

Characters and Unicode

Total characters27784
Distinct characters567
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

Unique2368 ?
Unique (%)73.2%

Sample

1st row대영
2nd row새달성
3rd row팔공인력유료직업소개소
4th row대성 유료직업소개소
5th row천샘
ValueCountFrequency (%)
유료직업소개소 535
 
13.4%
직업소개소 58
 
1.5%
주식회사 31
 
0.8%
인력 9
 
0.2%
미래직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
대한유료직업소개소 8
 
0.2%
삼성 7
 
0.2%
개미인력 7
 
0.2%
어머니회 7
 
0.2%
Other values (2683) 3315
83.0%
2024-04-29T21:19:55.499538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4521
16.3%
개 2654
 
9.6%
업 2299
 
8.3%
직 2241
 
8.1%
유 1533
 
5.5%
료 1502
 
5.4%
인 791
 
2.8%
760
 
2.7%
력 711
 
2.6%
발 421
 
1.5%
Other values (557) 10351
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26283
94.6%
Space Separator 760
 
2.7%
Open Punctuation 174
 
0.6%
Close Punctuation 174
 
0.6%
Decimal Number 160
 
0.6%
Uppercase Letter 149
 
0.5%
Lowercase Letter 62
 
0.2%
Other Punctuation 17
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4521
17.2%
개 2654
 
10.1%
업 2299
 
8.7%
직 2241
 
8.5%
유 1533
 
5.8%
료 1502
 
5.7%
인 791
 
3.0%
력 711
 
2.7%
발 421
 
1.6%
대 395
 
1.5%
Other values (492) 9215
35.1%
Uppercase Letter
ValueCountFrequency (%)
K 22
14.8%
S 13
 
8.7%
C 13
 
8.7%
O 13
 
8.7%
J 11
 
7.4%
H 8
 
5.4%
E 7
 
4.7%
F 6
 
4.0%
I 6
 
4.0%
M 6
 
4.0%
Other values (12) 44
29.5%
Lowercase Letter
ValueCountFrequency (%)
o 11
17.7%
e 8
12.9%
n 6
9.7%
s 5
 
8.1%
l 4
 
6.5%
a 4
 
6.5%
k 3
 
4.8%
b 3
 
4.8%
i 3
 
4.8%
r 2
 
3.2%
Other values (12) 13
21.0%
Decimal Number
ValueCountFrequency (%)
2 37
23.1%
1 31
19.4%
0 21
13.1%
3 18
11.2%
5 13
 
8.1%
8 13
 
8.1%
6 7
 
4.4%
7 7
 
4.4%
4 7
 
4.4%
9 6
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
, 1
 
5.9%
' 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 173
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 173
99.4%
] 1
 
0.6%
Space Separator
ValueCountFrequency (%)
760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26284
94.6%
Common 1289
 
4.6%
Latin 211
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4521
17.2%
개 2654
 
10.1%
업 2299
 
8.7%
직 2241
 
8.5%
유 1533
 
5.8%
료 1502
 
5.7%
인 791
 
3.0%
력 711
 
2.7%
발 421
 
1.6%
대 395
 
1.5%
Other values (493) 9216
35.1%
Latin
ValueCountFrequency (%)
K 22
 
10.4%
S 13
 
6.2%
C 13
 
6.2%
O 13
 
6.2%
J 11
 
5.2%
o 11
 
5.2%
e 8
 
3.8%
H 8
 
3.8%
E 7
 
3.3%
F 6
 
2.8%
Other values (34) 99
46.9%
Common
ValueCountFrequency (%)
760
59.0%
( 173
 
13.4%
) 173
 
13.4%
2 37
 
2.9%
1 31
 
2.4%
0 21
 
1.6%
3 18
 
1.4%
5 13
 
1.0%
8 13
 
1.0%
. 11
 
0.9%
Other values (10) 39
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26283
94.6%
ASCII 1500
 
5.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4521
17.2%
개 2654
 
10.1%
업 2299
 
8.7%
직 2241
 
8.5%
유 1533
 
5.8%
료 1502
 
5.7%
인 791
 
3.0%
력 711
 
2.7%
발 421
 
1.6%
대 395
 
1.5%
Other values (492) 9215
35.1%
ASCII
ValueCountFrequency (%)
760
50.7%
( 173
 
11.5%
) 173
 
11.5%
2 37
 
2.5%
1 31
 
2.1%
K 22
 
1.5%
0 21
 
1.4%
3 18
 
1.2%
S 13
 
0.9%
5 13
 
0.9%
Other values (54) 239
 
15.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct3235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2003-03-04 16:11:34
Maximum2024-03-29 13:57:46
2024-04-29T21:19:55.632307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:19:55.772986image/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 size25.4 KiB
I
2337 
U
898 

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 2337
72.2%
U 898
 
27.8%

Length

2024-04-29T21:19:55.898757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:55.985173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2337
72.2%
u 898
 
27.8%

데이터갱신일자
Date

Distinct632
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 02:40:00
2024-04-29T21:19:56.082638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:19:56.213657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3235
Missing (%)100.0%
Memory size28.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2384
Distinct (%)79.2%
Missing224
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean342616.44
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-29T21:19:56.359885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331756.01
Q1339878.25
median342925.96
Q3346494.63
95-th percentile354068.12
Maximum545499.31
Range377190.42
Interquartile range (IQR)6616.379

Descriptive statistics

Standard deviation14772.329
Coefficient of variation (CV)0.043116229
Kurtosis64.95039
Mean342616.44
Median Absolute Deviation (MAD)3290.7916
Skewness-4.1014586
Sum1.0316181 × 109
Variance2.182217 × 108
MonotonicityNot monotonic
2024-04-29T21:19:56.510929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.5224695 12
 
0.4%
346942.691096638 8
 
0.2%
340310.448893237 7
 
0.2%
348506.422520115 6
 
0.2%
346927.051608512 6
 
0.2%
338608.236267503 6
 
0.2%
344686.25933796 6
 
0.2%
335580.93556905 6
 
0.2%
340316.194397879 5
 
0.2%
343954.889867498 5
 
0.2%
Other values (2374) 2944
91.0%
(Missing) 224
 
6.9%
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 

Distinct2384
Distinct (%)79.2%
Missing224
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean264227.82
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.6 KiB
2024-04-29T21:19:56.646552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256524.02
Q1261154.36
median263272.69
Q3265310.61
95-th percentile271129.3
Maximum488962.84
Range330838.62
Interquartile range (IQR)4156.2534

Descriptive statistics

Standard deviation17333.974
Coefficient of variation (CV)0.065602381
Kurtosis77.891556
Mean264227.82
Median Absolute Deviation (MAD)2069.9713
Skewness7.2029372
Sum7.9558997 × 108
Variance3.0046666 × 108
MonotonicityNot monotonic
2024-04-29T21:19:56.785733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376104 12
 
0.4%
263989.847736771 8
 
0.2%
265324.291407297 7
 
0.2%
259488.824789494 6
 
0.2%
264921.356489587 6
 
0.2%
259355.475150091 6
 
0.2%
263958.880864104 6
 
0.2%
262368.945365499 6
 
0.2%
265310.611165978 5
 
0.2%
267834.090945179 5
 
0.2%
Other values (2374) 2944
91.0%
(Missing) 224
 
6.9%
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 size25.4 KiB
개인
3087 
법인
 
147
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006182
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
개인 3087
95.4%
법인 147
 
4.5%
<NA> 1
 
< 0.1%

Length

2024-04-29T21:19:56.945875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:57.046396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 3087
95.4%
법인 147
 
4.5%
na 1
 
< 0.1%

구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
유료
3234 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006182
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3234
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-04-29T21:19:57.153311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:19:57.248816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3234
> 99.9%
na 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P341000020003410079115000172000-01-04<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 칠성동2가 409번지 171호 18통 3반대구광역시 북구 칠성로 101-10 (칠성동2가)<NA>대영2007-05-08 15:44:29I2018-08-31 23:59:59<NA>344497.700355265472.53784개인유료
12유료직업소개소11_50_02_P341000020003410079115000232000-09-19<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 88번지 38호 3통 6반 드림파크뷰 104 302<NA><NA>새달성2007-05-08 16:32:19I2018-08-31 23:59:59<NA>348269.759209262771.112788개인유료
23유료직업소개소11_50_02_P341000020113410071145000052011-05-03<NA>4취소/말소/만료/정지/중지70등록취소2013-06-20<NA><NA><NA>053 422 5006<NA>700-351대구광역시 중구 북성로1가 2번지 17호 2층대구광역시 중구 동성로 88, 2층 (북성로1가)700-824팔공인력유료직업소개소2013-08-05 11:39:34I2018-08-31 23:59:59<NA>344041.432985264999.77334개인유료
34유료직업소개소11_50_02_P341000020113410071145000102009-10-20<NA>4취소/말소/만료/정지/중지70등록취소2011-11-21<NA><NA><NA><NA><NA>705-815대구광역시 남구 대명10동 1226번지 55호 2층대구광역시 남구 성당로 16-2 (대명동,2층)<NA>대성 유료직업소개소2011-11-21 18:26:38I2018-08-31 23:59:59<NA>340786.933611261013.736321개인유료
45유료직업소개소11_50_02_P341000020003410079115000292000-06-12<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>경상북도 울릉군 울릉읍 도동리 289번지 1호 3통<NA><NA>천샘2007-05-09 11:07:41I2018-08-31 23:59:59<NA>545499.31195450775.594404개인유료
56유료직업소개소11_50_02_P341000020003410079115000302000-10-12<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 도원동 1444호 37통 6반 미리샘마을 203 1401<NA><NA>대우2007-05-09 11:09:56I2018-08-31 23:59:59<NA>339246.734339257269.476574개인유료
67유료직업소개소11_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
78유료직업소개소11_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
89유료직업소개소11_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
910유료직업소개소11_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
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
32253226유료직업소개소11_50_02_P514100020195140085145000032019-11-29<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 동부리 670번지 8호 군위버스터미널 2층대구광역시 군위군 군위읍 중앙길 12, 군위버스터미널 2층39018군위아가페인력2019-12-04 14:51:16I2023-07-01 16:42:10<NA>340957.481879304405.667348개인유료
32263227유료직업소개소11_50_02_P514100020205140085145000012020-02-25<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 219번지대구광역시 군위군 군위읍 중앙길 4939017군위인력개발2022-05-10 13:54:12I2023-07-01 16:42:10<NA>340731.177369304703.342649개인유료
32273228유료직업소개소11_50_02_P514100020215140085145000032021-07-23<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 삼국유사면 양지리 178대구광역시 군위군 삼국유사면 삼국유사로 105139055길손인력2021-07-23 17:20:33I2023-07-01 16:42:10<NA>364562.315783297772.668147개인유료
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