Overview

Dataset statistics

Number of variables30
Number of observations3170
Missing cells29205
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory783.3 KiB
Average record size in memory253.0 B

Variable types

Numeric5
Categorical9
DateTime4
Unsupported6
Text6

Dataset

Description23년07월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000099373&dataSetDetailId=DDI_0000099389&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
법인구분명 is highly imbalanced (83.3%)Imbalance
구분명 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3170 (100.0%) missing valuesMissing
폐업일자 has 1805 (56.9%) missing valuesMissing
휴업시작일자 has 3170 (100.0%) missing valuesMissing
휴업종료일자 has 3170 (100.0%) missing valuesMissing
재개업일자 has 3170 (100.0%) missing valuesMissing
소재지전화 has 2722 (85.9%) missing valuesMissing
소재지면적 has 3170 (100.0%) missing valuesMissing
소재지우편번호 has 2541 (80.2%) missing valuesMissing
도로명전체주소 has 747 (23.6%) missing valuesMissing
도로명우편번호 has 1904 (60.1%) missing valuesMissing
업태구분명 has 3170 (100.0%) missing valuesMissing
좌표정보(X) has 224 (7.1%) missing valuesMissing
좌표정보(Y) has 224 (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 started2023-08-19 13:04:54.276532
Analysis finished2023-08-19 13:04:58.906715
Duration4.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1585.5
Minimum1
Maximum3170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-08-19T22:04:59.318921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile159.45
Q1793.25
median1585.5
Q32377.75
95-th percentile3011.55
Maximum3170
Range3169
Interquartile range (IQR)1584.5

Descriptive statistics

Standard deviation915.2445
Coefficient of variation (CV)0.57725923
Kurtosis-1.2
Mean1585.5
Median Absolute Deviation (MAD)792.5
Skewness0
Sum5026035
Variance837672.5
MonotonicityStrictly increasing
2023-08-19T22:04:59.810099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2107 1
 
< 0.1%
2109 1
 
< 0.1%
2110 1
 
< 0.1%
2111 1
 
< 0.1%
2112 1
 
< 0.1%
2113 1
 
< 0.1%
2114 1
 
< 0.1%
2115 1
 
< 0.1%
2116 1
 
< 0.1%
Other values (3160) 3160
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 (%)
3170 1
< 0.1%
3169 1
< 0.1%
3168 1
< 0.1%
3167 1
< 0.1%
3166 1
< 0.1%
3165 1
< 0.1%
3164 1
< 0.1%
3163 1
< 0.1%
3162 1
< 0.1%
3161 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
유료직업소개소
3170 

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 3170
100.0%

Length

2023-08-19T22:05:00.190933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:00.609567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3170
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
11_50_02_P
3170 

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 3170
100.0%

Length

2023-08-19T22:05:01.192338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:01.614579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3170
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450653.9
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-08-19T22:05:01.933636image/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 deviation110892.41
Coefficient of variation (CV)0.032136637
Kurtosis218.89165
Mean3450653.9
Median Absolute Deviation (MAD)20000
Skewness14.529097
Sum1.0938573 × 1010
Variance1.2297128 × 1010
MonotonicityIncreasing
2023-08-19T22:05:02.380932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 700
22.1%
3460000 541
17.1%
3420000 519
16.4%
3410000 455
14.4%
3430000 333
10.5%
3440000 255
 
8.0%
3450000 232
 
7.3%
3480000 122
 
3.8%
5141000 13
 
0.4%
ValueCountFrequency (%)
3410000 455
14.4%
3420000 519
16.4%
3430000 333
10.5%
3440000 255
 
8.0%
3450000 232
 
7.3%
3460000 541
17.1%
3470000 700
22.1%
3480000 122
 
3.8%
5141000 13
 
0.4%
ValueCountFrequency (%)
5141000 13
 
0.4%
3480000 122
 
3.8%
3470000 700
22.1%
3460000 541
17.1%
3450000 232
 
7.3%
3440000 255
 
8.0%
3430000 333
10.5%
3420000 519
16.4%
3410000 455
14.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0085757 × 1018
Minimum1.968341 × 1018
Maximum2.023348 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-08-19T22:05:03.279183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.9987943 × 1018
Q12.003343 × 1018
median2.006347 × 1018
Q32.014348 × 1018
95-th percentile2.022343 × 1018
Maximum2.023348 × 1018
Range5.5007029 × 1016
Interquartile range (IQR)1.1005032 × 1016

Descriptive statistics

Standard deviation8.0100359 × 1015
Coefficient of variation (CV)0.0039879184
Kurtosis2.4165954
Mean2.0085757 × 1018
Median Absolute Deviation (MAD)4.9959967 × 1015
Skewness-0.37173556
Sum3.0581804 × 1018
Variance6.4160676 × 1031
MonotonicityNot monotonic
2023-08-19T22:05:03.817763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001341001311500007 1
 
< 0.1%
2004346006511500038 1
 
< 0.1%
2004346006511500010 1
 
< 0.1%
2004346006511500011 1
 
< 0.1%
2010346007714500009 1
 
< 0.1%
2010346007714500010 1
 
< 0.1%
2010346007714500011 1
 
< 0.1%
2010346007714500012 1
 
< 0.1%
2010346007714500013 1
 
< 0.1%
2010346011314500003 1
 
< 0.1%
Other values (3160) 3160
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 (%)
2023348036514500009 1
< 0.1%
2023348036514500008 1
< 0.1%
2023348036514500007 1
< 0.1%
2023348036514500006 1
< 0.1%
2023348036514500005 1
< 0.1%
2023348036514500004 1
< 0.1%
2023348036514500003 1
< 0.1%
2023347018114500018 1
< 0.1%
2023347018114500017 1
< 0.1%
2023347018114500016 1
< 0.1%

인허가일자
Date

Distinct2218
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
Minimum1968-12-30 00:00:00
Maximum2023-07-31 00:00:00
2023-08-19T22:05:04.241601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-19T22:05:04.588408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3170
Missing (%)100.0%
Memory size28.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
3
2332 
1
659 
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 2332
73.6%
1 659
 
20.8%
4 179
 
5.6%

Length

2023-08-19T22:05:04.951869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:05.194824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2332
73.6%
1 659
 
20.8%
4 179
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
폐업
2332 
영업/정상
659 
취소/말소/만료/정지/중지
 
179

Length

Max length14
Median length2
Mean length3.3012618
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 2332
73.6%
영업/정상 659
 
20.8%
취소/말소/만료/정지/중지 179
 
5.6%

Length

2023-08-19T22:05:05.623857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:06.058733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2332
73.6%
영업/정상 659
 
20.8%
취소/말소/만료/정지/중지 179
 
5.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
40
2332 
20
658 
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 2332
73.6%
20 658
 
20.8%
70 179
 
5.6%
90 1
 
< 0.1%

Length

2023-08-19T22:05:06.560513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:07.142432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2332
73.6%
20 658
 
20.8%
70 179
 
5.6%
90 1
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
폐업
2332 
영업중
658 
등록취소
 
179
경고조치
 
1

Length

Max length4
Median length2
Mean length2.3211356
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2332
73.6%
영업중 658
 
20.8%
등록취소 179
 
5.6%
경고조치 1
 
< 0.1%

Length

2023-08-19T22:05:07.837503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:08.334058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2332
73.6%
영업중 658
 
20.8%
등록취소 179
 
5.6%
경고조치 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1145
Distinct (%)83.9%
Missing1805
Missing (%)56.9%
Memory size24.9 KiB
Minimum1995-07-14 00:00:00
Maximum2023-07-24 00:00:00
2023-08-19T22:05:09.026864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-19T22:05:09.825734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3170
Missing (%)100.0%
Memory size28.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3170
Missing (%)100.0%
Memory size28.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3170
Missing (%)100.0%
Memory size28.0 KiB

소재지전화
Text

MISSING 

Distinct434
Distinct (%)96.9%
Missing2722
Missing (%)85.9%
Memory size24.9 KiB
2023-08-19T22:05:11.012356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.526786
Min length7

Characters and Unicode

Total characters5164
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

Unique423 ?
Unique (%)94.4%

Sample

1st row0547156677
2nd row053 422 5006
3rd row053 939 7770
4th row053 2431001
5th row053 655 8272
ValueCountFrequency (%)
053 377
33.0%
761 13
 
1.1%
611 12
 
1.1%
764 8
 
0.7%
744 8
 
0.7%
766 7
 
0.6%
768 7
 
0.6%
742 7
 
0.6%
614 7
 
0.6%
424 7
 
0.6%
Other values (554) 688
60.3%
2023-08-19T22:05:12.390625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 784
15.2%
5 766
14.8%
741
14.3%
3 667
12.9%
7 380
7.4%
1 359
7.0%
4 336
6.5%
6 335
6.5%
2 323
6.3%
9 260
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4423
85.7%
Space Separator 741
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 784
17.7%
5 766
17.3%
3 667
15.1%
7 380
8.6%
1 359
8.1%
4 336
7.6%
6 335
7.6%
2 323
7.3%
9 260
 
5.9%
8 213
 
4.8%
Space Separator
ValueCountFrequency (%)
741
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 784
15.2%
5 766
14.8%
741
14.3%
3 667
12.9%
7 380
7.4%
1 359
7.0%
4 336
6.5%
6 335
6.5%
2 323
6.3%
9 260
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 784
15.2%
5 766
14.8%
741
14.3%
3 667
12.9%
7 380
7.4%
1 359
7.0%
4 336
6.5%
6 335
6.5%
2 323
6.3%
9 260
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3170
Missing (%)100.0%
Memory size28.0 KiB

소재지우편번호
Text

MISSING 

Distinct269
Distinct (%)42.8%
Missing2541
Missing (%)80.2%
Memory size24.9 KiB
2023-08-19T22:05:13.325949image/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%
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) 477
75.8%
2023-08-19T22:05:14.894375image/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

Distinct2902
Distinct (%)92.1%
Missing18
Missing (%)0.6%
Memory size24.9 KiB
2023-08-19T22:05:16.163683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length28.563769
Min length12

Characters and Unicode

Total characters90033
Distinct characters388
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

Unique2702 ?
Unique (%)85.7%

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 2929
 
14.6%
달서구 617
 
3.1%
수성구 509
 
2.5%
동구 469
 
2.3%
서구 368
 
1.8%
1호 354
 
1.8%
북구 303
 
1.5%
남구 276
 
1.4%
중구 224
 
1.1%
2층 204
 
1.0%
Other values (3371) 13760
68.8%
2023-08-19T22:05:18.327585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19023
21.1%
구 5811
 
6.5%
1 5179
 
5.8%
동 3450
 
3.8%
2 3289
 
3.7%
대 3282
 
3.6%
시 3128
 
3.5%
광 2969
 
3.3%
역 2955
 
3.3%
호 2846
 
3.2%
Other values (378) 38101
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48594
54.0%
Decimal Number 21786
24.2%
Space Separator 19023
 
21.1%
Dash Punctuation 383
 
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 5811
 
12.0%
동 3450
 
7.1%
대 3282
 
6.8%
시 3128
 
6.4%
광 2969
 
6.1%
역 2955
 
6.1%
호 2846
 
5.9%
지 2460
 
5.1%
번 2279
 
4.7%
통 1234
 
2.5%
Other values (344) 18180
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%
K 1
 
1.6%
F 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5179
23.8%
2 3289
15.1%
3 2380
10.9%
0 2376
10.9%
4 1913
 
8.8%
5 1634
 
7.5%
6 1430
 
6.6%
7 1323
 
6.1%
8 1171
 
5.4%
9 1091
 
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 (%)
19023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48590
54.0%
Common 41367
45.9%
Latin 72
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5811
 
12.0%
동 3450
 
7.1%
대 3282
 
6.8%
시 3128
 
6.4%
광 2969
 
6.1%
역 2955
 
6.1%
호 2846
 
5.9%
지 2460
 
5.1%
번 2279
 
4.7%
통 1234
 
2.5%
Other values (342) 18176
37.4%
Common
ValueCountFrequency (%)
19023
46.0%
1 5179
 
12.5%
2 3289
 
8.0%
3 2380
 
5.8%
0 2376
 
5.7%
4 1913
 
4.6%
5 1634
 
4.0%
6 1430
 
3.5%
7 1323
 
3.2%
8 1171
 
2.8%
Other values (7) 1649
 
4.0%
Latin
ValueCountFrequency (%)
B 22
30.6%
A 20
27.8%
e 6
 
8.3%
C 5
 
6.9%
D 4
 
5.6%
M 2
 
2.8%
L 2
 
2.8%
G 2
 
2.8%
S 1
 
1.4%
K 1
 
1.4%
Other values (7) 7
 
9.7%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48589
54.0%
ASCII 41439
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19023
45.9%
1 5179
 
12.5%
2 3289
 
7.9%
3 2380
 
5.7%
0 2376
 
5.7%
4 1913
 
4.6%
5 1634
 
3.9%
6 1430
 
3.5%
7 1323
 
3.2%
8 1171
 
2.8%
Other values (24) 1721
 
4.2%
Hangul
ValueCountFrequency (%)
구 5811
 
12.0%
동 3450
 
7.1%
대 3282
 
6.8%
시 3128
 
6.4%
광 2969
 
6.1%
역 2955
 
6.1%
호 2846
 
5.9%
지 2460
 
5.1%
번 2279
 
4.7%
통 1234
 
2.5%
Other values (341) 18175
37.4%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2196
Distinct (%)90.6%
Missing747
Missing (%)23.6%
Memory size24.9 KiB
2023-08-19T22:05:19.748804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.714404
Min length19

Characters and Unicode

Total characters69575
Distinct characters381
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

Unique2017 ?
Unique (%)83.2%

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 2343
 
16.8%
수성구 446
 
3.2%
동구 428
 
3.1%
2층 390
 
2.8%
달서구 364
 
2.6%
서구 318
 
2.3%
북구 258
 
1.8%
남구 226
 
1.6%
중구 166
 
1.2%
1층 159
 
1.1%
Other values (2761) 8872
63.5%
2023-08-19T22:05:21.402931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11555
 
16.6%
구 4877
 
7.0%
동 3339
 
4.8%
대 3015
 
4.3%
1 2568
 
3.7%
시 2449
 
3.5%
광 2363
 
3.4%
역 2357
 
3.4%
로 2356
 
3.4%
) 2261
 
3.2%
Other values (371) 32435
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39357
56.6%
Decimal Number 11765
 
16.9%
Space Separator 11555
 
16.6%
Close Punctuation 2261
 
3.2%
Open Punctuation 2261
 
3.2%
Other Punctuation 1737
 
2.5%
Dash Punctuation 584
 
0.8%
Uppercase Letter 50
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4877
 
12.4%
동 3339
 
8.5%
대 3015
 
7.7%
시 2449
 
6.2%
광 2363
 
6.0%
역 2357
 
6.0%
로 2356
 
6.0%
길 1069
 
2.7%
성 1029
 
2.6%
서 906
 
2.3%
Other values (340) 15597
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 17
34.0%
A 12
24.0%
C 7
14.0%
D 3
 
6.0%
M 2
 
4.0%
S 2
 
4.0%
P 2
 
4.0%
G 2
 
4.0%
T 1
 
2.0%
K 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 2568
21.8%
2 2218
18.9%
3 1431
12.2%
0 1268
10.8%
4 925
 
7.9%
5 850
 
7.2%
6 722
 
6.1%
7 651
 
5.5%
8 615
 
5.2%
9 517
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1732
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 (%)
11555
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 584
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39357
56.6%
Common 30163
43.4%
Latin 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4877
 
12.4%
동 3339
 
8.5%
대 3015
 
7.7%
시 2449
 
6.2%
광 2363
 
6.0%
역 2357
 
6.0%
로 2356
 
6.0%
길 1069
 
2.7%
성 1029
 
2.6%
서 906
 
2.3%
Other values (340) 15597
39.6%
Common
ValueCountFrequency (%)
11555
38.3%
1 2568
 
8.5%
) 2261
 
7.5%
( 2261
 
7.5%
2 2218
 
7.4%
, 1732
 
5.7%
3 1431
 
4.7%
0 1268
 
4.2%
4 925
 
3.1%
5 850
 
2.8%
Other values (8) 3094
 
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%
S 2
 
3.6%
P 2
 
3.6%
G 2
 
3.6%
T 1
 
1.8%
Other values (3) 3
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39356
56.6%
ASCII 30217
43.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11555
38.2%
1 2568
 
8.5%
) 2261
 
7.5%
( 2261
 
7.5%
2 2218
 
7.3%
, 1732
 
5.7%
3 1431
 
4.7%
0 1268
 
4.2%
4 925
 
3.1%
5 850
 
2.8%
Other values (20) 3148
 
10.4%
Hangul
ValueCountFrequency (%)
구 4877
 
12.4%
동 3339
 
8.5%
대 3015
 
7.7%
시 2449
 
6.2%
광 2363
 
6.0%
역 2357
 
6.0%
로 2356
 
6.0%
길 1069
 
2.7%
성 1029
 
2.6%
서 906
 
2.3%
Other values (339) 15596
39.6%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct675
Distinct (%)53.3%
Missing1904
Missing (%)60.1%
Memory size24.9 KiB
2023-08-19T22:05:22.244149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5955766
Min length5

Characters and Unicode

Total characters7084
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

Unique409 ?
Unique (%)32.3%

Sample

1st row41977
2nd row41918
3rd row41940
4th row41931
5th row39202
ValueCountFrequency (%)
701-816 13
 
1.0%
42612 13
 
1.0%
706-032 12
 
0.9%
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 (665) 1166
92.1%
2023-08-19T22:05:23.663651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1304
18.4%
1 988
13.9%
2 886
12.5%
0 799
11.3%
7 727
10.3%
8 532
7.5%
6 463
 
6.5%
- 377
 
5.3%
3 350
 
4.9%
9 341
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6707
94.7%
Dash Punctuation 377
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1304
19.4%
1 988
14.7%
2 886
13.2%
0 799
11.9%
7 727
10.8%
8 532
7.9%
6 463
 
6.9%
3 350
 
5.2%
9 341
 
5.1%
5 317
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7084
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1304
18.4%
1 988
13.9%
2 886
12.5%
0 799
11.3%
7 727
10.3%
8 532
7.5%
6 463
 
6.5%
- 377
 
5.3%
3 350
 
4.9%
9 341
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7084
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1304
18.4%
1 988
13.9%
2 886
12.5%
0 799
11.3%
7 727
10.3%
8 532
7.5%
6 463
 
6.5%
- 377
 
5.3%
3 350
 
4.9%
9 341
 
4.8%

사업장명
Text

Distinct2665
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
2023-08-19T22:05:24.600581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.6041009
Min length1

Characters and Unicode

Total characters27275
Distinct characters562
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

Unique2324 ?
Unique (%)73.3%

Sample

1st row명성 유료직업소개소
2nd row효성
3rd row동양
4th row명성
5th row동인 유료직업소개소
ValueCountFrequency (%)
유료직업소개소 529
 
13.5%
직업소개소 56
 
1.4%
주식회사 28
 
0.7%
미래직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
대한유료직업소개소 8
 
0.2%
인력 8
 
0.2%
삼성 7
 
0.2%
제일 6
 
0.2%
대림인력개발 6
 
0.2%
Other values (2629) 3241
83.0%
2023-08-19T22:05:26.201749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4487
16.5%
개 2629
 
9.6%
업 2278
 
8.4%
직 2223
 
8.2%
유 1516
 
5.6%
료 1488
 
5.5%
인 763
 
2.8%
737
 
2.7%
력 686
 
2.5%
발 414
 
1.5%
Other values (552) 10054
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25845
94.8%
Space Separator 737
 
2.7%
Close Punctuation 167
 
0.6%
Open Punctuation 167
 
0.6%
Decimal Number 153
 
0.6%
Uppercase Letter 135
 
0.5%
Lowercase Letter 51
 
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 4487
17.4%
개 2629
 
10.2%
업 2278
 
8.8%
직 2223
 
8.6%
유 1516
 
5.9%
료 1488
 
5.8%
인 763
 
3.0%
력 686
 
2.7%
발 414
 
1.6%
대 385
 
1.5%
Other values (489) 8976
34.7%
Uppercase Letter
ValueCountFrequency (%)
K 21
15.6%
C 13
 
9.6%
O 12
 
8.9%
S 12
 
8.9%
J 11
 
8.1%
H 7
 
5.2%
E 6
 
4.4%
F 6
 
4.4%
B 5
 
3.7%
M 5
 
3.7%
Other values (12) 37
27.4%
Lowercase Letter
ValueCountFrequency (%)
o 11
21.6%
n 6
11.8%
e 5
9.8%
s 4
 
7.8%
l 3
 
5.9%
b 3
 
5.9%
k 3
 
5.9%
a 3
 
5.9%
i 2
 
3.9%
y 1
 
2.0%
Other values (10) 10
19.6%
Decimal Number
ValueCountFrequency (%)
2 37
24.2%
1 30
19.6%
0 19
12.4%
3 17
11.1%
8 13
 
8.5%
5 12
 
7.8%
7 7
 
4.6%
4 6
 
3.9%
9 6
 
3.9%
6 6
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
, 1
 
5.9%
' 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 166
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 166
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
737
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25846
94.8%
Common 1243
 
4.6%
Latin 186
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4487
17.4%
개 2629
 
10.2%
업 2278
 
8.8%
직 2223
 
8.6%
유 1516
 
5.9%
료 1488
 
5.8%
인 763
 
3.0%
력 686
 
2.7%
발 414
 
1.6%
대 385
 
1.5%
Other values (490) 8977
34.7%
Latin
ValueCountFrequency (%)
K 21
 
11.3%
C 13
 
7.0%
O 12
 
6.5%
S 12
 
6.5%
J 11
 
5.9%
o 11
 
5.9%
H 7
 
3.8%
E 6
 
3.2%
n 6
 
3.2%
F 6
 
3.2%
Other values (32) 81
43.5%
Common
ValueCountFrequency (%)
737
59.3%
) 166
 
13.4%
( 166
 
13.4%
2 37
 
3.0%
1 30
 
2.4%
0 19
 
1.5%
3 17
 
1.4%
8 13
 
1.0%
5 12
 
1.0%
. 11
 
0.9%
Other values (10) 35
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25845
94.8%
ASCII 1429
 
5.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4487
17.4%
개 2629
 
10.2%
업 2278
 
8.8%
직 2223
 
8.6%
유 1516
 
5.9%
료 1488
 
5.8%
인 763
 
3.0%
력 686
 
2.7%
발 414
 
1.6%
대 385
 
1.5%
Other values (489) 8976
34.7%
ASCII
ValueCountFrequency (%)
737
51.6%
) 166
 
11.6%
( 166
 
11.6%
2 37
 
2.6%
1 30
 
2.1%
K 21
 
1.5%
0 19
 
1.3%
3 17
 
1.2%
8 13
 
0.9%
C 13
 
0.9%
Other values (52) 210
 
14.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct3170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
Minimum2003-03-04 16:11:34
Maximum2023-07-31 14:04:29
2023-08-19T22:05:26.652411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-19T22:05:27.248456image/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 size24.9 KiB
I
2311 
U
859 

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 2311
72.9%
U 859
 
27.1%

Length

2023-08-19T22:05:28.080621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:28.507058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2311
72.9%
u 859
 
27.1%

데이터갱신일자
Date

Distinct539
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-08-02 00:18:52
2023-08-19T22:05:29.668735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-19T22:05:30.355122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3170
Missing (%)100.0%
Memory size28.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2338
Distinct (%)79.4%
Missing224
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean342597.97
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-08-19T22:05:31.050390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331696.6
Q1339879.41
median342891.54
Q3346474.52
95-th percentile354055.98
Maximum545499.31
Range377190.42
Interquartile range (IQR)6595.1101

Descriptive statistics

Standard deviation14908.376
Coefficient of variation (CV)0.043515659
Kurtosis63.930523
Mean342597.97
Median Absolute Deviation (MAD)3278.6415
Skewness-4.075342
Sum1.0092936 × 109
Variance2.2225968 × 108
MonotonicityNot monotonic
2023-08-19T22:05:31.497500image/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%
341930.828894889 5
 
0.2%
340316.194397879 5
 
0.2%
346073.048649748 5
 
0.2%
Other values (2328) 2881
90.9%
(Missing) 224
 
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 

Distinct2338
Distinct (%)79.4%
Missing224
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean264254.62
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.0 KiB
2023-08-19T22:05:32.037427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256544.4
Q1261141.07
median263288.91
Q3265314.35
95-th percentile271153.13
Maximum488962.84
Range330838.62
Interquartile range (IQR)4173.2747

Descriptive statistics

Standard deviation17507.392
Coefficient of variation (CV)0.06625198
Kurtosis76.404222
Mean264254.62
Median Absolute Deviation (MAD)2076.6208
Skewness7.1398268
Sum7.784941 × 108
Variance3.0650876 × 108
MonotonicityNot monotonic
2023-08-19T22:05:32.421217image/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%
263639.724235906 5
 
0.2%
265310.611165978 5
 
0.2%
264848.319665179 5
 
0.2%
Other values (2328) 2881
90.9%
(Missing) 224
 
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 size24.9 KiB
개인
3029 
법인
 
140
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006309
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
개인 3029
95.6%
법인 140
 
4.4%
<NA> 1
 
< 0.1%

Length

2023-08-19T22:05:32.832687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:33.210384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 3029
95.6%
법인 140
 
4.4%
na 1
 
< 0.1%

구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
유료
3169 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006309
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3169
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-08-19T22:05:33.565705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-19T22:05:33.883951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3169
> 99.9%
na 1
 
< 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
31603161유료직업소개소11_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
31613162유료직업소개소11_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
31623163유료직업소개소11_50_02_P514100020215140085145000022021-04-27<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 장군리 61-2대구광역시 군위군 효령면 경북대로 2220, 1층39033효령인력2022-01-25 15:59:53I2023-07-01 16:42:10<NA>341829.990652292256.972975개인유료
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