Overview

Dataset statistics

Number of variables30
Number of observations3212
Missing cells29544
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory793.7 KiB
Average record size in memory253.0 B

Variable types

Numeric5
Categorical9
DateTime4
Unsupported6
Text6

Dataset

Description23년12월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000104212&dataSetDetailId=DDI_0000104220&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
상세영업상태코드 is highly imbalanced (55.2%)Imbalance
상세영업상태명 is highly imbalanced (55.2%)Imbalance
법인구분명 is highly imbalanced (83.2%)Imbalance
구분명 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 3212 (100.0%) missing valuesMissing
폐업일자 has 1819 (56.6%) missing valuesMissing
휴업시작일자 has 3212 (100.0%) missing valuesMissing
휴업종료일자 has 3212 (100.0%) missing valuesMissing
재개업일자 has 3212 (100.0%) missing valuesMissing
소재지전화 has 2752 (85.7%) missing valuesMissing
소재지면적 has 3212 (100.0%) missing valuesMissing
소재지우편번호 has 2584 (80.4%) missing valuesMissing
도로명전체주소 has 747 (23.3%) missing valuesMissing
도로명우편번호 has 1904 (59.3%) missing valuesMissing
업태구분명 has 3212 (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 started2024-03-13 14:05:36.805157
Analysis finished2024-03-13 14:05:37.943529
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1606.5
Minimum1
Maximum3212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2024-03-13T23:05:38.010415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile161.55
Q1803.75
median1606.5
Q32409.25
95-th percentile3051.45
Maximum3212
Range3211
Interquartile range (IQR)1605.5

Descriptive statistics

Standard deviation927.36886
Coefficient of variation (CV)0.57726042
Kurtosis-1.2
Mean1606.5
Median Absolute Deviation (MAD)803
Skewness0
Sum5160078
Variance860013
MonotonicityStrictly increasing
2024-03-13T23:05:38.143396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2147 1
 
< 0.1%
2137 1
 
< 0.1%
2138 1
 
< 0.1%
2139 1
 
< 0.1%
2140 1
 
< 0.1%
2141 1
 
< 0.1%
2142 1
 
< 0.1%
2143 1
 
< 0.1%
2144 1
 
< 0.1%
Other values (3202) 3202
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 (%)
3212 1
< 0.1%
3211 1
< 0.1%
3210 1
< 0.1%
3209 1
< 0.1%
3208 1
< 0.1%
3207 1
< 0.1%
3206 1
< 0.1%
3205 1
< 0.1%
3204 1
< 0.1%
3203 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
유료직업소개소
3212 

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 3212
100.0%

Length

2024-03-13T23:05:38.301838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:38.395769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3212
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
11_50_02_P
3212 

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 3212
100.0%

Length

2024-03-13T23:05:38.489889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:38.584823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3212
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450567.6
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2024-03-13T23:05:38.664945image/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 deviation110197.89
Coefficient of variation (CV)0.031936163
Kurtosis221.6029
Mean3450567.6
Median Absolute Deviation (MAD)20000
Skewness14.614023
Sum1.1083223 × 1010
Variance1.2143575 × 1010
MonotonicityIncreasing
2024-03-13T23:05:38.772485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 711
22.1%
3460000 546
17.0%
3420000 529
16.5%
3410000 458
14.3%
3430000 338
10.5%
3440000 261
 
8.1%
3450000 232
 
7.2%
3480000 124
 
3.9%
5141000 13
 
0.4%
ValueCountFrequency (%)
3410000 458
14.3%
3420000 529
16.5%
3430000 338
10.5%
3440000 261
 
8.1%
3450000 232
 
7.2%
3460000 546
17.0%
3470000 711
22.1%
3480000 124
 
3.9%
5141000 13
 
0.4%
ValueCountFrequency (%)
5141000 13
 
0.4%
3480000 124
 
3.9%
3470000 711
22.1%
3460000 546
17.0%
3450000 232
 
7.2%
3440000 261
 
8.1%
3430000 338
10.5%
3420000 529
16.5%
3410000 458
14.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0087728 × 1018
Minimum1.968341 × 1018
Maximum2.0235141 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2024-03-13T23:05:38.894829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.999341 × 1018
Q12.003343 × 1018
median2.006347 × 1018
Q32.0153423 × 1018
95-th percentile2.022347 × 1018
Maximum2.0235141 × 1018
Range5.5173093 × 1016
Interquartile range (IQR)1.1999258 × 1016

Descriptive statistics

Standard deviation8.1387991 × 1015
Coefficient of variation (CV)0.0040516274
Kurtosis2.1950038
Mean2.0087728 × 1018
Median Absolute Deviation (MAD)4.9990025 × 1015
Skewness-0.34044568
Sum-4.1820741 × 1018
Variance6.624005 × 1031
MonotonicityNot monotonic
2024-03-13T23:05:39.084327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2011341007114500010 1
 
< 0.1%
2004346006511500009 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%
2014346012514500003 1
 
< 0.1%
Other values (3202) 3202
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

Distinct2253
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum1968-12-30 00:00:00
Maximum2023-12-29 00:00:00
2024-03-13T23:05:39.258651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:05:39.390747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3212
Missing (%)100.0%
Memory size28.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
3
2359 
1
672 
4
 
181

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 2359
73.4%
1 672
 
20.9%
4 181
 
5.6%

Length

2024-03-13T23:05:39.515773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:39.606862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2359
73.4%
1 672
 
20.9%
4 181
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2359 
영업/정상
672 
취소/말소/만료/정지/중지
 
181

Length

Max length14
Median length2
Mean length3.3038605
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 2359
73.4%
영업/정상 672
 
20.9%
취소/말소/만료/정지/중지 181
 
5.6%

Length

2024-03-13T23:05:39.730592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:39.827393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2359
73.4%
영업/정상 672
 
20.9%
취소/말소/만료/정지/중지 181
 
5.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
40
2359 
20
671 
70
 
180
80
 
1
90
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
40 2359
73.4%
20 671
 
20.9%
70 180
 
5.6%
80 1
 
< 0.1%
90 1
 
< 0.1%

Length

2024-03-13T23:05:40.119120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:40.221343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2359
73.4%
20 671
 
20.9%
70 180
 
5.6%
80 1
 
< 0.1%
90 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2359 
영업중
671 
등록취소
 
180
사업정지
 
1
경고조치
 
1

Length

Max length4
Median length2
Mean length2.3222291
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2359
73.4%
영업중 671
 
20.9%
등록취소 180
 
5.6%
사업정지 1
 
< 0.1%
경고조치 1
 
< 0.1%

Length

2024-03-13T23:05:40.344314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:40.448400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2359
73.4%
영업중 671
 
20.9%
등록취소 180
 
5.6%
사업정지 1
 
< 0.1%
경고조치 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1170
Distinct (%)84.0%
Missing1819
Missing (%)56.6%
Memory size25.2 KiB
Minimum1995-07-14 00:00:00
Maximum2023-12-29 00:00:00
2024-03-13T23:05:40.570857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:05:40.696630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3212
Missing (%)100.0%
Memory size28.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3212
Missing (%)100.0%
Memory size28.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3212
Missing (%)100.0%
Memory size28.4 KiB

소재지전화
Text

MISSING 

Distinct446
Distinct (%)97.0%
Missing2752
Missing (%)85.7%
Memory size25.2 KiB
2024-03-13T23:05:40.956162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.5
Min length7

Characters and Unicode

Total characters5290
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

Unique435 ?
Unique (%)94.6%

Sample

1st row0547156677
2nd row053 422 5006
3rd row053 422 5082
4th row053 939 7770
5th row053 2431001
ValueCountFrequency (%)
053 380
32.8%
761 13
 
1.1%
611 12
 
1.0%
764 8
 
0.7%
744 8
 
0.7%
768 7
 
0.6%
742 7
 
0.6%
614 7
 
0.6%
766 7
 
0.6%
424 7
 
0.6%
Other values (569) 702
60.6%
2024-03-13T23:05:41.419064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 805
15.2%
5 790
14.9%
746
14.1%
3 688
13.0%
7 387
7.3%
1 368
7.0%
6 348
6.6%
4 341
6.4%
2 331
6.3%
9 266
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4544
85.9%
Space Separator 746
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 805
17.7%
5 790
17.4%
3 688
15.1%
7 387
8.5%
1 368
8.1%
6 348
7.7%
4 341
7.5%
2 331
7.3%
9 266
 
5.9%
8 220
 
4.8%
Space Separator
ValueCountFrequency (%)
746
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 805
15.2%
5 790
14.9%
746
14.1%
3 688
13.0%
7 387
7.3%
1 368
7.0%
6 348
6.6%
4 341
6.4%
2 331
6.3%
9 266
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 805
15.2%
5 790
14.9%
746
14.1%
3 688
13.0%
7 387
7.3%
1 368
7.0%
6 348
6.6%
4 341
6.4%
2 331
6.3%
9 266
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3212
Missing (%)100.0%
Memory size28.4 KiB

소재지우편번호
Text

MISSING 

Distinct269
Distinct (%)42.8%
Missing2584
Missing (%)80.4%
Memory size25.2 KiB
2024-03-13T23:05:41.747095image/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 row705-815
2nd row700-351
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%
2024-03-13T23:05:42.184850image/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

Distinct2943
Distinct (%)92.1%
Missing18
Missing (%)0.6%
Memory size25.2 KiB
2024-03-13T23:05:42.601414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length28.443331
Min length12

Characters and Unicode

Total characters90848
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

Unique2742 ?
Unique (%)85.8%

Sample

1st row대구광역시 남구 대명10동 1226번지 55호 2층
2nd row경상북도 울릉군 울릉읍 도동리 289번지 1호 3통
3rd row대구광역시 달서구 도원동 1444호 37통 6반 미리샘마을 203 1401
4th row대구광역시 달서구 월성동 500번지 6호 20통 4반 월성영남맨션 101 1208
5th row대구광역시 서구 내당동 11번지 8호 1통 2반 황제맨션 105 805
ValueCountFrequency (%)
대구광역시 2971
 
14.7%
달서구 629
 
3.1%
수성구 514
 
2.5%
동구 479
 
2.4%
서구 372
 
1.8%
1호 353
 
1.7%
북구 303
 
1.5%
남구 283
 
1.4%
중구 226
 
1.1%
2층 202
 
1.0%
Other values (3418) 13853
68.6%
2024-03-13T23:05:43.082507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19153
21.1%
구 5891
 
6.5%
1 5218
 
5.7%
동 3503
 
3.9%
대 3330
 
3.7%
2 3309
 
3.6%
시 3171
 
3.5%
광 3012
 
3.3%
역 2997
 
3.3%
호 2847
 
3.1%
Other values (380) 38417
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49056
54.0%
Decimal Number 21970
24.2%
Space Separator 19153
 
21.1%
Dash Punctuation 423
 
0.5%
Other Punctuation 86
 
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 5891
 
12.0%
동 3503
 
7.1%
대 3330
 
6.8%
시 3171
 
6.5%
광 3012
 
6.1%
역 2997
 
6.1%
호 2847
 
5.8%
지 2455
 
5.0%
번 2276
 
4.6%
통 1233
 
2.5%
Other values (346) 18341
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 22
34.4%
A 20
31.2%
C 5
 
7.8%
D 4
 
6.2%
L 2
 
3.1%
M 2
 
3.1%
G 2
 
3.1%
H 1
 
1.6%
P 1
 
1.6%
T 1
 
1.6%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5218
23.8%
2 3309
15.1%
3 2399
10.9%
0 2393
10.9%
4 1933
 
8.8%
5 1649
 
7.5%
6 1440
 
6.6%
7 1338
 
6.1%
8 1187
 
5.4%
9 1104
 
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 (%)
19153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49052
54.0%
Common 41720
45.9%
Latin 72
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5891
 
12.0%
동 3503
 
7.1%
대 3330
 
6.8%
시 3171
 
6.5%
광 3012
 
6.1%
역 2997
 
6.1%
호 2847
 
5.8%
지 2455
 
5.0%
번 2276
 
4.6%
통 1233
 
2.5%
Other values (344) 18337
37.4%
Common
ValueCountFrequency (%)
19153
45.9%
1 5218
 
12.5%
2 3309
 
7.9%
3 2399
 
5.8%
0 2393
 
5.7%
4 1933
 
4.6%
5 1649
 
4.0%
6 1440
 
3.5%
7 1338
 
3.2%
8 1187
 
2.8%
Other values (7) 1701
 
4.1%
Latin
ValueCountFrequency (%)
B 22
30.6%
A 20
27.8%
e 6
 
8.3%
C 5
 
6.9%
D 4
 
5.6%
L 2
 
2.8%
M 2
 
2.8%
G 2
 
2.8%
a 1
 
1.4%
H 1
 
1.4%
Other values (7) 7
 
9.7%
Han
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49051
54.0%
ASCII 41792
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19153
45.8%
1 5218
 
12.5%
2 3309
 
7.9%
3 2399
 
5.7%
0 2393
 
5.7%
4 1933
 
4.6%
5 1649
 
3.9%
6 1440
 
3.4%
7 1338
 
3.2%
8 1187
 
2.8%
Other values (24) 1773
 
4.2%
Hangul
ValueCountFrequency (%)
구 5891
 
12.0%
동 3503
 
7.1%
대 3330
 
6.8%
시 3171
 
6.5%
광 3012
 
6.1%
역 2997
 
6.1%
호 2847
 
5.8%
지 2455
 
5.0%
번 2276
 
4.6%
통 1233
 
2.5%
Other values (343) 18336
37.4%
CJK
ValueCountFrequency (%)
沙 2
50.0%
坪 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2236
Distinct (%)90.7%
Missing747
Missing (%)23.3%
Memory size25.2 KiB
2024-03-13T23:05:43.439456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.723327
Min length19

Characters and Unicode

Total characters70803
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 (%)83.4%

Sample

1st row대구광역시 남구 성당로 16-2 (대명동,2층)
2nd row대구광역시 북구 경대로5길 30-11 (대현동)
3rd row대구광역시 달서구 학산로7길 71-10 (본동)
4th row대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)
5th row대구광역시 중구 국채보상로 736-6 (동인동4가)
ValueCountFrequency (%)
대구광역시 2385
 
16.8%
수성구 451
 
3.2%
동구 438
 
3.1%
2층 406
 
2.9%
달서구 376
 
2.6%
서구 322
 
2.3%
북구 258
 
1.8%
남구 233
 
1.6%
1층 170
 
1.2%
중구 168
 
1.2%
Other values (2784) 9028
63.4%
2024-03-13T23:05:44.012293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11778
 
16.6%
구 4961
 
7.0%
동 3397
 
4.8%
대 3066
 
4.3%
1 2609
 
3.7%
시 2492
 
3.5%
광 2406
 
3.4%
역 2399
 
3.4%
로 2398
 
3.4%
( 2302
 
3.3%
Other values (372) 32995
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40020
56.5%
Decimal Number 11971
 
16.9%
Space Separator 11778
 
16.6%
Open Punctuation 2302
 
3.3%
Close Punctuation 2302
 
3.3%
Other Punctuation 1781
 
2.5%
Dash Punctuation 594
 
0.8%
Uppercase Letter 50
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4961
 
12.4%
동 3397
 
8.5%
대 3066
 
7.7%
시 2492
 
6.2%
광 2406
 
6.0%
역 2399
 
6.0%
로 2398
 
6.0%
길 1078
 
2.7%
성 1038
 
2.6%
서 922
 
2.3%
Other values (341) 15863
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 17
34.0%
A 12
24.0%
C 7
14.0%
D 3
 
6.0%
G 2
 
4.0%
P 2
 
4.0%
M 2
 
4.0%
S 2
 
4.0%
K 1
 
2.0%
Y 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 2609
21.8%
2 2265
18.9%
3 1459
12.2%
0 1287
10.8%
4 938
 
7.8%
5 862
 
7.2%
6 735
 
6.1%
7 665
 
5.6%
8 629
 
5.3%
9 522
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1776
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 (%)
11778
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 594
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40020
56.5%
Common 30728
43.4%
Latin 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4961
 
12.4%
동 3397
 
8.5%
대 3066
 
7.7%
시 2492
 
6.2%
광 2406
 
6.0%
역 2399
 
6.0%
로 2398
 
6.0%
길 1078
 
2.7%
성 1038
 
2.6%
서 922
 
2.3%
Other values (341) 15863
39.6%
Common
ValueCountFrequency (%)
11778
38.3%
1 2609
 
8.5%
( 2302
 
7.5%
) 2302
 
7.5%
2 2265
 
7.4%
, 1776
 
5.8%
3 1459
 
4.7%
0 1287
 
4.2%
4 938
 
3.1%
5 862
 
2.8%
Other values (8) 3150
 
10.3%
Latin
ValueCountFrequency (%)
B 17
30.9%
A 12
21.8%
C 7
12.7%
e 4
 
7.3%
D 3
 
5.5%
G 2
 
3.6%
P 2
 
3.6%
M 2
 
3.6%
S 2
 
3.6%
K 1
 
1.8%
Other values (3) 3
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40019
56.5%
ASCII 30782
43.5%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11778
38.3%
1 2609
 
8.5%
( 2302
 
7.5%
) 2302
 
7.5%
2 2265
 
7.4%
, 1776
 
5.8%
3 1459
 
4.7%
0 1287
 
4.2%
4 938
 
3.0%
5 862
 
2.8%
Other values (20) 3204
 
10.4%
Hangul
ValueCountFrequency (%)
구 4961
 
12.4%
동 3397
 
8.5%
대 3066
 
7.7%
시 2492
 
6.2%
광 2406
 
6.0%
역 2399
 
6.0%
로 2398
 
6.0%
길 1078
 
2.7%
성 1038
 
2.6%
서 922
 
2.3%
Other values (340) 15862
39.6%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct690
Distinct (%)52.8%
Missing1904
Missing (%)59.3%
Memory size25.2 KiB
2024-03-13T23:05:44.323269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5764526
Min length5

Characters and Unicode

Total characters7294
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

Unique414 ?
Unique (%)31.7%

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
 
0.8%
42661 10
 
0.8%
42696 9
 
0.7%
41264 9
 
0.7%
41207 8
 
0.6%
41184 8
 
0.6%
41218 8
 
0.6%
Other values (680) 1207
92.3%
2024-03-13T23:05:44.780890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1364
18.7%
1 1022
14.0%
2 930
12.8%
0 810
11.1%
7 748
10.3%
8 535
 
7.3%
6 476
 
6.5%
- 377
 
5.2%
3 358
 
4.9%
9 354
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6917
94.8%
Dash Punctuation 377
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1364
19.7%
1 1022
14.8%
2 930
13.4%
0 810
11.7%
7 748
10.8%
8 535
 
7.7%
6 476
 
6.9%
3 358
 
5.2%
9 354
 
5.1%
5 320
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1364
18.7%
1 1022
14.0%
2 930
12.8%
0 810
11.1%
7 748
10.3%
8 535
 
7.3%
6 476
 
6.5%
- 377
 
5.2%
3 358
 
4.9%
9 354
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1364
18.7%
1 1022
14.0%
2 930
12.8%
0 810
11.1%
7 748
10.3%
8 535
 
7.3%
6 476
 
6.5%
- 377
 
5.2%
3 358
 
4.9%
9 354
 
4.9%

사업장명
Text

Distinct2700
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2024-03-13T23:05:45.100591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.5915318
Min length1

Characters and Unicode

Total characters27596
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

Unique2352 ?
Unique (%)73.2%

Sample

1st row대성 유료직업소개소
2nd row천샘
3rd row대우
4th row명성 유료직업소개소
5th row효성
ValueCountFrequency (%)
유료직업소개소 531
 
13.4%
직업소개소 58
 
1.5%
주식회사 29
 
0.7%
대한유료직업소개소 8
 
0.2%
대성직업소개소 8
 
0.2%
인력 8
 
0.2%
미래직업소개소 8
 
0.2%
어머니회 7
 
0.2%
삼성 7
 
0.2%
삼성직업소개소 6
 
0.2%
Other values (2665) 3292
83.1%
2024-03-13T23:05:45.568427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4509
16.3%
개 2646
 
9.6%
업 2293
 
8.3%
직 2235
 
8.1%
유 1526
 
5.5%
료 1496
 
5.4%
인 782
 
2.8%
752
 
2.7%
력 703
 
2.5%
발 420
 
1.5%
Other values (554) 10234
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26114
94.6%
Space Separator 752
 
2.7%
Open Punctuation 171
 
0.6%
Close Punctuation 171
 
0.6%
Decimal Number 160
 
0.6%
Uppercase Letter 147
 
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 2646
 
10.1%
업 2293
 
8.8%
직 2235
 
8.6%
유 1526
 
5.8%
료 1496
 
5.7%
인 782
 
3.0%
력 703
 
2.7%
발 420
 
1.6%
대 393
 
1.5%
Other values (490) 9111
34.9%
Uppercase Letter
ValueCountFrequency (%)
K 22
15.0%
C 13
 
8.8%
S 13
 
8.8%
O 13
 
8.8%
J 11
 
7.5%
H 8
 
5.4%
E 7
 
4.8%
M 6
 
4.1%
F 6
 
4.1%
I 6
 
4.1%
Other values (12) 42
28.6%
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%
k 3
 
5.1%
b 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%
5 13
 
8.1%
8 13
 
8.1%
7 7
 
4.4%
6 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 (%)
( 170
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 170
99.4%
] 1
 
0.6%
Space Separator
ValueCountFrequency (%)
752
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26115
94.6%
Common 1275
 
4.6%
Latin 206
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4509
17.3%
개 2646
 
10.1%
업 2293
 
8.8%
직 2235
 
8.6%
유 1526
 
5.8%
료 1496
 
5.7%
인 782
 
3.0%
력 703
 
2.7%
발 420
 
1.6%
대 393
 
1.5%
Other values (491) 9112
34.9%
Latin
ValueCountFrequency (%)
K 22
 
10.7%
C 13
 
6.3%
S 13
 
6.3%
O 13
 
6.3%
o 11
 
5.3%
J 11
 
5.3%
H 8
 
3.9%
e 7
 
3.4%
E 7
 
3.4%
M 6
 
2.9%
Other values (33) 95
46.1%
Common
ValueCountFrequency (%)
752
59.0%
( 170
 
13.3%
) 170
 
13.3%
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
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26114
94.6%
ASCII 1481
 
5.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4509
17.3%
개 2646
 
10.1%
업 2293
 
8.8%
직 2235
 
8.6%
유 1526
 
5.8%
료 1496
 
5.7%
인 782
 
3.0%
력 703
 
2.7%
발 420
 
1.6%
대 393
 
1.5%
Other values (490) 9111
34.9%
ASCII
ValueCountFrequency (%)
752
50.8%
( 170
 
11.5%
) 170
 
11.5%
2 37
 
2.5%
1 31
 
2.1%
K 22
 
1.5%
0 21
 
1.4%
3 18
 
1.2%
C 13
 
0.9%
5 13
 
0.9%
Other values (53) 234
 
15.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct3212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2003-03-04 16:11:34
Maximum2023-12-29 15:11:43
2024-03-13T23:05:45.739551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:05:45.900354image/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
2327 
U
885 

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 2327
72.4%
U 885
 
27.6%

Length

2024-03-13T23:05:46.027501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:46.143358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2327
72.4%
u 885
 
27.6%

데이터갱신일자
Date

Distinct589
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-31 02:40:00
2024-03-13T23:05:46.253021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:05:46.390339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3212
Missing (%)100.0%
Memory size28.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2370
Distinct (%)79.3%
Missing224
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean342608.85
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2024-03-13T23:05:46.528465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331781.79
Q1339878.77
median342918.29
Q3346483.1
95-th percentile354052.63
Maximum545499.31
Range377190.42
Interquartile range (IQR)6604.3213

Descriptive statistics

Standard deviation14816.712
Coefficient of variation (CV)0.04324673
Kurtosis64.648481
Mean342608.85
Median Absolute Deviation (MAD)3285.9556
Skewness-4.0945759
Sum1.0237153 × 109
Variance2.1953497 × 108
MonotonicityNot monotonic
2024-03-13T23:05:46.678796image/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%
345694.84190298 5
 
0.2%
352371.984834033 5
 
0.2%
340456.988127354 5
 
0.2%
Other values (2360) 2922
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 

Distinct2370
Distinct (%)79.3%
Missing224
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean264247.47
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2024-03-13T23:05:46.834534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256632.04
Q1261156.78
median263283.85
Q3265311.86
95-th percentile271129.3
Maximum488962.84
Range330838.62
Interquartile range (IQR)4155.0762

Descriptive statistics

Standard deviation17390.021
Coefficient of variation (CV)0.065809602
Kurtosis77.435743
Mean264247.47
Median Absolute Deviation (MAD)2068.9326
Skewness7.1862646
Sum7.8957143 × 108
Variance3.0241282 × 108
MonotonicityNot monotonic
2024-03-13T23:05:46.970115image/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%
262463.374667835 5
 
0.2%
266741.708937555 5
 
0.2%
264420.834912707 5
 
0.2%
Other values (2360) 2922
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
3068 
법인
 
143
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006227
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
개인 3068
95.5%
법인 143
 
4.5%
<NA> 1
 
< 0.1%

Length

2024-03-13T23:05:47.144263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:47.307952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 3068
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
3211 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0006227
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3211
> 99.9%
<NA> 1
 
< 0.1%

Length

2024-03-13T23:05:47.438594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:05:47.564658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3211
> 99.9%
na 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_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
12유료직업소개소11_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
23유료직업소개소11_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
34유료직업소개소11_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
45유료직업소개소11_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
56유료직업소개소11_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
67유료직업소개소11_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
78유료직업소개소11_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
89유료직업소개소11_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
910유료직업소개소11_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
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
32023203유료직업소개소11_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
32033204유료직업소개소11_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
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