Overview

Dataset statistics

Number of variables30
Number of observations3208
Missing cells29521
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory792.7 KiB
Average record size in memory253.0 B

Variable types

Numeric5
Categorical9
DateTime4
Unsupported6
Text6

Dataset

Description23년11월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101353&dataSetDetailId=DDI_0000101369&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
상세영업상태코드 is highly imbalanced (55.0%)Imbalance
상세영업상태명 is highly imbalanced (55.0%)Imbalance
법인구분명 is highly imbalanced (83.2%)Imbalance
구분명 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3208 (100.0%) missing valuesMissing
폐업일자 has 1826 (56.9%) missing valuesMissing
휴업시작일자 has 3208 (100.0%) missing valuesMissing
휴업종료일자 has 3208 (100.0%) missing valuesMissing
재개업일자 has 3208 (100.0%) missing valuesMissing
소재지전화 has 2750 (85.7%) missing valuesMissing
소재지면적 has 3208 (100.0%) missing valuesMissing
소재지우편번호 has 2580 (80.4%) missing valuesMissing
도로명전체주소 has 747 (23.3%) missing valuesMissing
도로명우편번호 has 1904 (59.4%) missing valuesMissing
업태구분명 has 3208 (100.0%) missing valuesMissing
좌표정보(X) has 224 (7.0%) missing valuesMissing
좌표정보(Y) has 224 (7.0%) 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 started2023-12-16 05:37:10.774754
Analysis finished2023-12-16 05:37:15.787241
Duration5.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1604.5
Minimum1
Maximum3208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-12-16T05:37:16.280506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile161.35
Q1802.75
median1604.5
Q32406.25
95-th percentile3047.65
Maximum3208
Range3207
Interquartile range (IQR)1603.5

Descriptive statistics

Standard deviation926.21416
Coefficient of variation (CV)0.5772603
Kurtosis-1.2
Mean1604.5
Median Absolute Deviation (MAD)802
Skewness0
Sum5147236
Variance857872.67
MonotonicityStrictly increasing
2023-12-16T05:37:17.826828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2144 1
 
< 0.1%
2134 1
 
< 0.1%
2135 1
 
< 0.1%
2136 1
 
< 0.1%
2137 1
 
< 0.1%
2138 1
 
< 0.1%
2139 1
 
< 0.1%
2140 1
 
< 0.1%
2141 1
 
< 0.1%
Other values (3198) 3198
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 (%)
3208 1
< 0.1%
3207 1
< 0.1%
3206 1
< 0.1%
3205 1
< 0.1%
3204 1
< 0.1%
3203 1
< 0.1%
3202 1
< 0.1%
3201 1
< 0.1%
3200 1
< 0.1%
3199 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
유료직업소개소
3208 

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 3208
100.0%

Length

2023-12-16T05:37:18.853965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:37:19.723089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3208
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
11_50_02_P
3208 

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 3208
100.0%

Length

2023-12-16T05:37:20.932353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:37:21.695956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3208
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450593.2
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-12-16T05:37:22.631841image/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 deviation110261.08
Coefficient of variation (CV)0.03195424
Kurtosis221.35482
Mean3450593.2
Median Absolute Deviation (MAD)20000
Skewness14.606446
Sum1.1069503 × 1010
Variance1.2157507 × 1010
MonotonicityIncreasing
2023-12-16T05:37:23.432739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 710
22.1%
3460000 546
17.0%
3420000 527
16.4%
3410000 457
14.2%
3430000 338
10.5%
3440000 261
 
8.1%
3450000 232
 
7.2%
3480000 124
 
3.9%
5141000 13
 
0.4%
ValueCountFrequency (%)
3410000 457
14.2%
3420000 527
16.4%
3430000 338
10.5%
3440000 261
 
8.1%
3450000 232
 
7.2%
3460000 546
17.0%
3470000 710
22.1%
3480000 124
 
3.9%
5141000 13
 
0.4%
ValueCountFrequency (%)
5141000 13
 
0.4%
3480000 124
 
3.9%
3470000 710
22.1%
3460000 546
17.0%
3450000 232
 
7.2%
3440000 261
 
8.1%
3430000 338
10.5%
3420000 527
16.4%
3410000 457
14.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0087547 × 1018
Minimum1.968341 × 1018
Maximum2.0235141 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-12-16T05:37:24.538077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.999341 × 1018
Q12.003343 × 1018
median2.006347 × 1018
Q32.015342 × 1018
95-th percentile2.022347 × 1018
Maximum2.0235141 × 1018
Range5.5173093 × 1016
Interquartile range (IQR)1.1999009 × 1016

Descriptive statistics

Standard deviation8.12758 × 1015
Coefficient of variation (CV)0.0040460789
Kurtosis2.2142862
Mean2.0087547 × 1018
Median Absolute Deviation (MAD)4.9979999 × 1015
Skewness-0.34276435
Sum6.1712979 × 1018
Variance6.6057556 × 1031
MonotonicityNot monotonic
2023-12-16T05:37:25.509448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000341007911500029 1
 
< 0.1%
2004346006511500038 1
 
< 0.1%
2004346006511500007 1
 
< 0.1%
2004346006511500008 1
 
< 0.1%
2013346012514500003 1
 
< 0.1%
2013346012514500004 1
 
< 0.1%
2013346012514500006 1
 
< 0.1%
2013346012514500007 1
 
< 0.1%
2014346012514500001 1
 
< 0.1%
2014346012514500002 1
 
< 0.1%
Other values (3198) 3198
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 (%)
2023514100514500001 1
< 0.1%
2023348036514500011 1
< 0.1%
2023348036514500010 1
< 0.1%
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%

인허가일자
Date

Distinct2249
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum1968-12-30 00:00:00
Maximum2023-11-29 00:00:00
2023-12-16T05:37:26.506291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:37:27.565637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3208
Missing (%)100.0%
Memory size28.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
3
2349 
1
679 
4
 
180

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 2349
73.2%
1 679
 
21.2%
4 180
 
5.6%

Length

2023-12-16T05:37:28.912104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:37:30.831402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2349
73.2%
1 679
 
21.2%
4 180
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2349 
영업/정상
679 
취소/말소/만료/정지/중지
 
180

Length

Max length14
Median length2
Mean length3.3082918
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 2349
73.2%
영업/정상 679
 
21.2%
취소/말소/만료/정지/중지 180
 
5.6%

Length

2023-12-16T05:37:32.536096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:37:33.166386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2349
73.2%
영업/정상 679
 
21.2%
취소/말소/만료/정지/중지 180
 
5.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
40
2349 
20
677 
70
 
179
90
 
2
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 2349
73.2%
20 677
 
21.1%
70 179
 
5.6%
90 2
 
0.1%
80 1
 
< 0.1%

Length

2023-12-16T05:37:34.217274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:37:34.853956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2349
73.2%
20 677
 
21.1%
70 179
 
5.6%
90 2
 
0.1%
80 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2349 
영업중
677 
등록취소
 
179
경고조치
 
2
사업정지
 
1

Length

Max length4
Median length2
Mean length2.3245012
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2349
73.2%
영업중 677
 
21.1%
등록취소 179
 
5.6%
경고조치 2
 
0.1%
사업정지 1
 
< 0.1%

Length

2023-12-16T05:37:35.797544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:37:36.879412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2349
73.2%
영업중 677
 
21.1%
등록취소 179
 
5.6%
경고조치 2
 
0.1%
사업정지 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1161
Distinct (%)84.0%
Missing1826
Missing (%)56.9%
Memory size25.2 KiB
Minimum1995-07-14 00:00:00
Maximum2023-11-30 00:00:00
2023-12-16T05:37:38.148510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:37:39.407484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3208
Missing (%)100.0%
Memory size28.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3208
Missing (%)100.0%
Memory size28.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3208
Missing (%)100.0%
Memory size28.3 KiB

소재지전화
Text

MISSING 

Distinct444
Distinct (%)96.9%
Missing2750
Missing (%)85.7%
Memory size25.2 KiB
2023-12-16T05:37:40.569066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.50655
Min length7

Characters and Unicode

Total characters5270
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

Unique433 ?
Unique (%)94.5%

Sample

1st row0547156677
2nd row053 422 5006
3rd row053 422 5082
4th row053 939 7770
5th row053 2431001
ValueCountFrequency (%)
053 380
32.9%
761 13
 
1.1%
611 12
 
1.0%
744 8
 
0.7%
764 8
 
0.7%
614 7
 
0.6%
424 7
 
0.6%
766 7
 
0.6%
742 7
 
0.6%
768 7
 
0.6%
Other values (565) 699
60.5%
2023-12-16T05:37:43.259300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 803
15.2%
5 784
14.9%
745
14.1%
3 686
13.0%
7 384
7.3%
1 368
7.0%
6 345
6.5%
4 340
6.5%
2 330
6.3%
9 265
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4525
85.9%
Space Separator 745
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 803
17.7%
5 784
17.3%
3 686
15.2%
7 384
8.5%
1 368
8.1%
6 345
7.6%
4 340
7.5%
2 330
7.3%
9 265
 
5.9%
8 220
 
4.9%
Space Separator
ValueCountFrequency (%)
745
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 803
15.2%
5 784
14.9%
745
14.1%
3 686
13.0%
7 384
7.3%
1 368
7.0%
6 345
6.5%
4 340
6.5%
2 330
6.3%
9 265
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 803
15.2%
5 784
14.9%
745
14.1%
3 686
13.0%
7 384
7.3%
1 368
7.0%
6 345
6.5%
4 340
6.5%
2 330
6.3%
9 265
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3208
Missing (%)100.0%
Memory size28.3 KiB

소재지우편번호
Text

MISSING 

Distinct269
Distinct (%)42.8%
Missing2580
Missing (%)80.4%
Memory size25.2 KiB
2023-12-16T05:37:44.814339image/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%
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) 476
75.8%
2023-12-16T05:37:47.231210image/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

Distinct2940
Distinct (%)92.2%
Missing18
Missing (%)0.6%
Memory size25.2 KiB
2023-12-16T05:37:48.695399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length28.452038
Min length12

Characters and Unicode

Total characters90762
Distinct characters390
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

Unique2740 ?
Unique (%)85.9%

Sample

1st row경상북도 울릉군 울릉읍 도동리 289번지 1호 3통
2nd row대구광역시 달서구 도원동 1444호 37통 6반 미리샘마을 203 1401
3rd row대구광역시 달서구 월성동 500번지 6호 20통 4반 월성영남맨션 101 1208
4th row대구광역시 서구 내당동 11번지 8호 1통 2반 황제맨션 105 805
5th row대구광역시 북구 대현동 112번지 49호 13통 3반
ValueCountFrequency (%)
대구광역시 2967
 
14.7%
달서구 628
 
3.1%
수성구 514
 
2.5%
동구 477
 
2.4%
서구 372
 
1.8%
1호 353
 
1.8%
북구 303
 
1.5%
남구 283
 
1.4%
중구 225
 
1.1%
2층 203
 
1.0%
Other values (3411) 13843
68.6%
2023-12-16T05:37:51.254071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19140
21.1%
구 5883
 
6.5%
1 5214
 
5.7%
동 3496
 
3.9%
대 3324
 
3.7%
2 3306
 
3.6%
시 3167
 
3.5%
광 3008
 
3.3%
역 2993
 
3.3%
호 2846
 
3.1%
Other values (380) 38385
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49005
54.0%
Decimal Number 21952
24.2%
Space Separator 19140
 
21.1%
Dash Punctuation 419
 
0.5%
Other Punctuation 86
 
0.1%
Uppercase Letter 64
 
0.1%
Open Punctuation 44
 
< 0.1%
Close Punctuation 44
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5883
 
12.0%
동 3496
 
7.1%
대 3324
 
6.8%
시 3167
 
6.5%
광 3008
 
6.1%
역 2993
 
6.1%
호 2846
 
5.8%
지 2456
 
5.0%
번 2277
 
4.6%
통 1233
 
2.5%
Other values (346) 18322
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%
H 1
 
1.6%
F 1
 
1.6%
T 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5214
23.8%
2 3306
15.1%
3 2396
10.9%
0 2389
10.9%
4 1931
 
8.8%
5 1648
 
7.5%
6 1439
 
6.6%
7 1339
 
6.1%
8 1184
 
5.4%
9 1106
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 53
61.6%
/ 27
31.4%
, 6
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
75.0%
a 1
 
12.5%
c 1
 
12.5%
Space Separator
ValueCountFrequency (%)
19140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49001
54.0%
Common 41685
45.9%
Latin 72
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5883
 
12.0%
동 3496
 
7.1%
대 3324
 
6.8%
시 3167
 
6.5%
광 3008
 
6.1%
역 2993
 
6.1%
호 2846
 
5.8%
지 2456
 
5.0%
번 2277
 
4.6%
통 1233
 
2.5%
Other values (344) 18318
37.4%
Common
ValueCountFrequency (%)
19140
45.9%
1 5214
 
12.5%
2 3306
 
7.9%
3 2396
 
5.7%
0 2389
 
5.7%
4 1931
 
4.6%
5 1648
 
4.0%
6 1439
 
3.5%
7 1339
 
3.2%
8 1184
 
2.8%
Other values (7) 1699
 
4.1%
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%
H 1
 
1.4%
F 1
 
1.4%
Other values (7) 7
 
9.7%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49000
54.0%
ASCII 41757
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19140
45.8%
1 5214
 
12.5%
2 3306
 
7.9%
3 2396
 
5.7%
0 2389
 
5.7%
4 1931
 
4.6%
5 1648
 
3.9%
6 1439
 
3.4%
7 1339
 
3.2%
8 1184
 
2.8%
Other values (24) 1771
 
4.2%
Hangul
ValueCountFrequency (%)
구 5883
 
12.0%
동 3496
 
7.1%
대 3324
 
6.8%
시 3167
 
6.5%
광 3008
 
6.1%
역 2993
 
6.1%
호 2846
 
5.8%
지 2456
 
5.0%
번 2277
 
4.6%
통 1233
 
2.5%
Other values (343) 18317
37.4%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2234
Distinct (%)90.8%
Missing747
Missing (%)23.3%
Memory size25.2 KiB
2023-12-16T05:37:52.441664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.724096
Min length19

Characters and Unicode

Total characters70690
Distinct characters382
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

Unique2055 ?
Unique (%)83.5%

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 서구 국채보상로88길 6-10, 302호 (비산동,한솔빌라)
ValueCountFrequency (%)
대구광역시 2381
 
16.8%
수성구 451
 
3.2%
동구 436
 
3.1%
2층 401
 
2.8%
달서구 375
 
2.6%
서구 322
 
2.3%
북구 258
 
1.8%
남구 233
 
1.6%
1층 170
 
1.2%
중구 167
 
1.2%
Other values (2785) 9015
63.4%
2023-12-16T05:37:54.517882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11756
 
16.6%
구 4953
 
7.0%
동 3389
 
4.8%
대 3060
 
4.3%
1 2606
 
3.7%
시 2488
 
3.5%
광 2402
 
3.4%
역 2395
 
3.4%
로 2394
 
3.4%
) 2298
 
3.3%
Other values (372) 32949
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39959
56.5%
Decimal Number 11955
 
16.9%
Space Separator 11756
 
16.6%
Close Punctuation 2298
 
3.3%
Open Punctuation 2298
 
3.3%
Other Punctuation 1776
 
2.5%
Dash Punctuation 593
 
0.8%
Uppercase Letter 50
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4953
 
12.4%
동 3389
 
8.5%
대 3060
 
7.7%
시 2488
 
6.2%
광 2402
 
6.0%
역 2395
 
6.0%
로 2394
 
6.0%
길 1078
 
2.7%
성 1038
 
2.6%
서 922
 
2.3%
Other values (341) 15840
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 17
34.0%
A 12
24.0%
C 7
14.0%
D 3
 
6.0%
S 2
 
4.0%
P 2
 
4.0%
G 2
 
4.0%
M 2
 
4.0%
K 1
 
2.0%
Y 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 2606
21.8%
2 2258
18.9%
3 1458
12.2%
0 1286
10.8%
4 936
 
7.8%
5 860
 
7.2%
6 737
 
6.2%
7 664
 
5.6%
8 628
 
5.3%
9 522
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1771
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 (%)
11756
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39959
56.5%
Common 30676
43.4%
Latin 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4953
 
12.4%
동 3389
 
8.5%
대 3060
 
7.7%
시 2488
 
6.2%
광 2402
 
6.0%
역 2395
 
6.0%
로 2394
 
6.0%
길 1078
 
2.7%
성 1038
 
2.6%
서 922
 
2.3%
Other values (341) 15840
39.6%
Common
ValueCountFrequency (%)
11756
38.3%
1 2606
 
8.5%
) 2298
 
7.5%
( 2298
 
7.5%
2 2258
 
7.4%
, 1771
 
5.8%
3 1458
 
4.8%
0 1286
 
4.2%
4 936
 
3.1%
5 860
 
2.8%
Other values (8) 3149
 
10.3%
Latin
ValueCountFrequency (%)
B 17
30.9%
A 12
21.8%
C 7
12.7%
e 4
 
7.3%
D 3
 
5.5%
S 2
 
3.6%
P 2
 
3.6%
G 2
 
3.6%
M 2
 
3.6%
K 1
 
1.8%
Other values (3) 3
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39958
56.5%
ASCII 30730
43.5%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11756
38.3%
1 2606
 
8.5%
) 2298
 
7.5%
( 2298
 
7.5%
2 2258
 
7.3%
, 1771
 
5.8%
3 1458
 
4.7%
0 1286
 
4.2%
4 936
 
3.0%
5 860
 
2.8%
Other values (20) 3203
 
10.4%
Hangul
ValueCountFrequency (%)
구 4953
 
12.4%
동 3389
 
8.5%
대 3060
 
7.7%
시 2488
 
6.2%
광 2402
 
6.0%
역 2395
 
6.0%
로 2394
 
6.0%
길 1078
 
2.7%
성 1038
 
2.6%
서 922
 
2.3%
Other values (340) 15839
39.6%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct688
Distinct (%)52.8%
Missing1904
Missing (%)59.4%
Memory size25.2 KiB
2023-12-16T05:37:56.455436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5782209
Min length5

Characters and Unicode

Total characters7274
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

Unique412 ?
Unique (%)31.6%

Sample

1st row41977
2nd row41918
3rd row41940
4th row41931
5th row39202
ValueCountFrequency (%)
42612 13
 
1.0%
701-816 13
 
1.0%
706-032 12
 
0.9%
706-852 11
 
0.8%
42661 10
 
0.8%
42696 9
 
0.7%
41264 9
 
0.7%
41249 8
 
0.6%
41207 8
 
0.6%
42784 8
 
0.6%
Other values (678) 1203
92.3%
2023-12-16T05:37:59.125667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1361
18.7%
1 1017
14.0%
2 928
12.8%
0 809
11.1%
7 747
10.3%
8 534
 
7.3%
6 475
 
6.5%
- 377
 
5.2%
3 357
 
4.9%
9 351
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6897
94.8%
Dash Punctuation 377
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1361
19.7%
1 1017
14.7%
2 928
13.5%
0 809
11.7%
7 747
10.8%
8 534
 
7.7%
6 475
 
6.9%
3 357
 
5.2%
9 351
 
5.1%
5 318
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1361
18.7%
1 1017
14.0%
2 928
12.8%
0 809
11.1%
7 747
10.3%
8 534
 
7.3%
6 475
 
6.5%
- 377
 
5.2%
3 357
 
4.9%
9 351
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1361
18.7%
1 1017
14.0%
2 928
12.8%
0 809
11.1%
7 747
10.3%
8 534
 
7.3%
6 475
 
6.5%
- 377
 
5.2%
3 357
 
4.9%
9 351
 
4.8%

사업장명
Text

Distinct2696
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-16T05:38:01.273037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.5941397
Min length1

Characters and Unicode

Total characters27570
Distinct characters564
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

Unique2348 ?
Unique (%)73.2%

Sample

1st row천샘
2nd row대우
3rd row명성 유료직업소개소
4th row효성
5th row동양
ValueCountFrequency (%)
유료직업소개소 531
 
13.4%
직업소개소 58
 
1.5%
주식회사 29
 
0.7%
대한유료직업소개소 8
 
0.2%
인력 8
 
0.2%
미래직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
어머니회 7
 
0.2%
삼성 7
 
0.2%
대림인력개발 6
 
0.2%
Other values (2660) 3286
83.1%
2023-12-16T05:38:06.015671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4509
16.4%
개 2644
 
9.6%
업 2292
 
8.3%
직 2235
 
8.1%
유 1526
 
5.5%
료 1496
 
5.4%
인 780
 
2.8%
750
 
2.7%
력 701
 
2.5%
발 418
 
1.5%
Other values (554) 10219
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26099
94.7%
Space Separator 750
 
2.7%
Close Punctuation 171
 
0.6%
Open Punctuation 171
 
0.6%
Decimal Number 160
 
0.6%
Uppercase Letter 138
 
0.5%
Lowercase Letter 59
 
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 4509
17.3%
개 2644
 
10.1%
업 2292
 
8.8%
직 2235
 
8.6%
유 1526
 
5.8%
료 1496
 
5.7%
인 780
 
3.0%
력 701
 
2.7%
발 418
 
1.6%
대 392
 
1.5%
Other values (490) 9106
34.9%
Uppercase Letter
ValueCountFrequency (%)
K 21
15.2%
C 13
 
9.4%
S 12
 
8.7%
O 12
 
8.7%
J 11
 
8.0%
H 8
 
5.8%
E 6
 
4.3%
M 6
 
4.3%
F 6
 
4.3%
B 5
 
3.6%
Other values (12) 38
27.5%
Lowercase Letter
ValueCountFrequency (%)
o 11
18.6%
e 7
11.9%
n 6
10.2%
s 5
8.5%
l 4
 
6.8%
a 4
 
6.8%
i 3
 
5.1%
b 3
 
5.1%
k 3
 
5.1%
r 2
 
3.4%
Other values (11) 11
18.6%
Decimal Number
ValueCountFrequency (%)
2 37
23.1%
1 31
19.4%
0 21
13.1%
3 18
11.2%
8 13
 
8.1%
5 13
 
8.1%
7 7
 
4.4%
4 7
 
4.4%
6 7
 
4.4%
9 6
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
, 1
 
5.9%
' 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 170
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 170
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26100
94.7%
Common 1273
 
4.6%
Latin 197
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4509
17.3%
개 2644
 
10.1%
업 2292
 
8.8%
직 2235
 
8.6%
유 1526
 
5.8%
료 1496
 
5.7%
인 780
 
3.0%
력 701
 
2.7%
발 418
 
1.6%
대 392
 
1.5%
Other values (491) 9107
34.9%
Latin
ValueCountFrequency (%)
K 21
 
10.7%
C 13
 
6.6%
S 12
 
6.1%
O 12
 
6.1%
o 11
 
5.6%
J 11
 
5.6%
H 8
 
4.1%
e 7
 
3.6%
E 6
 
3.0%
n 6
 
3.0%
Other values (33) 90
45.7%
Common
ValueCountFrequency (%)
750
58.9%
) 170
 
13.4%
( 170
 
13.4%
2 37
 
2.9%
1 31
 
2.4%
0 21
 
1.6%
3 18
 
1.4%
8 13
 
1.0%
5 13
 
1.0%
. 11
 
0.9%
Other values (10) 39
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26099
94.7%
ASCII 1470
 
5.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4509
17.3%
개 2644
 
10.1%
업 2292
 
8.8%
직 2235
 
8.6%
유 1526
 
5.8%
료 1496
 
5.7%
인 780
 
3.0%
력 701
 
2.7%
발 418
 
1.6%
대 392
 
1.5%
Other values (490) 9106
34.9%
ASCII
ValueCountFrequency (%)
750
51.0%
) 170
 
11.6%
( 170
 
11.6%
2 37
 
2.5%
1 31
 
2.1%
K 21
 
1.4%
0 21
 
1.4%
3 18
 
1.2%
8 13
 
0.9%
C 13
 
0.9%
Other values (53) 226
 
15.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct3208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2003-03-04 16:11:34
Maximum2023-11-30 15:28:21
2023-12-16T05:38:07.840518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:38:08.868736image/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 size25.2 KiB
I
2326 
U
882 

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 2326
72.5%
U 882
 
27.5%

Length

2023-12-16T05:38:10.156293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:38:11.008897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2326
72.5%
u 882
 
27.5%

데이터갱신일자
Date

Distinct577
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 02:40:00
2023-12-16T05:38:12.053530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T05:38:13.583747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3208
Missing (%)100.0%
Memory size28.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2368
Distinct (%)79.4%
Missing224
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean342606.2
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-12-16T05:38:14.745780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331781.79
Q1339878.77
median342913.03
Q3346481.95
95-th percentile354059.34
Maximum545499.31
Range377190.42
Interquartile range (IQR)6603.1767

Descriptive statistics

Standard deviation14826.08
Coefficient of variation (CV)0.043274407
Kurtosis64.565447
Mean342606.2
Median Absolute Deviation (MAD)3282.4002
Skewness-4.0917393
Sum1.0223369 × 109
Variance2.1981266 × 108
MonotonicityNot monotonic
2023-12-16T05:38:15.558381image/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%
338608.236267503 6
 
0.2%
344686.25933796 6
 
0.2%
335580.93556905 6
 
0.2%
348506.422520115 6
 
0.2%
343954.889867498 5
 
0.2%
352371.984834033 5
 
0.2%
343205.435118708 5
 
0.2%
Other values (2358) 2918
91.0%
(Missing) 224
 
7.0%
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 

Distinct2368
Distinct (%)79.4%
Missing224
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean264247.41
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2023-12-16T05:38:17.333940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256615.03
Q1261149.12
median263276.19
Q3265310.61
95-th percentile271129.3
Maximum488962.84
Range330838.62
Interquartile range (IQR)4161.4961

Descriptive statistics

Standard deviation17401.592
Coefficient of variation (CV)0.065853407
Kurtosis77.329886
Mean264247.41
Median Absolute Deviation (MAD)2073.362
Skewness7.1815717
Sum7.8851427 × 108
Variance3.0281541 × 108
MonotonicityNot monotonic
2023-12-16T05:38:18.495168image/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%
259355.475150091 6
 
0.2%
263958.880864104 6
 
0.2%
262368.945365499 6
 
0.2%
259488.824789494 6
 
0.2%
267834.090945179 5
 
0.2%
266741.708937555 5
 
0.2%
261598.284358334 5
 
0.2%
Other values (2358) 2918
91.0%
(Missing) 224
 
7.0%
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 size25.2 KiB
개인
3064 
법인
 
143
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006234
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
개인 3064
95.5%
법인 143
 
4.5%
<NA> 1
 
< 0.1%

Length

2023-12-16T05:38:19.324033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:38:20.145559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 3064
95.5%
법인 143
 
4.5%
na 1
 
< 0.1%

구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
유료
3207 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006234
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3207
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-12-16T05:38:20.969577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T05:38:21.499302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3207
> 99.9%
na 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_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
12유료직업소개소11_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
23유료직업소개소11_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
34유료직업소개소11_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
45유료직업소개소11_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
56유료직업소개소11_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
67유료직업소개소11_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
78유료직업소개소11_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
89유료직업소개소11_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
910유료직업소개소11_50_02_P341000020053410013115000122005-11-10<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 486번지 2호 15통 3반 삼정그린빌 105 1003<NA><NA>폭스2006-01-17 10:17:55I2018-08-31 23:59:59<NA>340425.612585262761.163676개인유료
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
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