Overview

Dataset statistics

Number of variables30
Number of observations91
Missing cells737
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory259.4 B

Variable types

Numeric10
Categorical10
Unsupported6
Text4

Dataset

Description6270000_대구광역시_11_50_01_P_무료직업소개소_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088079&dataSetDetailId=DDI_0000088111&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (53.4%)Imbalance
인허가취소일자 has 91 (100.0%) missing valuesMissing
폐업일자 has 52 (57.1%) missing valuesMissing
휴업시작일자 has 91 (100.0%) missing valuesMissing
휴업종료일자 has 91 (100.0%) missing valuesMissing
재개업일자 has 91 (100.0%) missing valuesMissing
소재지전화 has 21 (23.1%) missing valuesMissing
소재지면적 has 91 (100.0%) missing valuesMissing
소재지우편번호 has 54 (59.3%) missing valuesMissing
소재지전체주소 has 17 (18.7%) missing valuesMissing
도로명전체주소 has 7 (7.7%) missing valuesMissing
도로명우편번호 has 36 (39.6%) missing valuesMissing
업태구분명 has 91 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.2%) missing valuesMissing
좌표정보(Y) has 2 (2.2%) 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
소재지우편번호 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-20 23:14:37.724894
Analysis finished2024-04-20 23:14:38.419818
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:38.616143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2024-04-21T08:14:39.032827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
무료직업소개소
91 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료직업소개소 91
100.0%

Length

2024-04-21T08:14:39.424359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:39.704635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료직업소개소 91
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
11_50_01_P
91 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_50_01_P
2nd row11_50_01_P
3rd row11_50_01_P
4th row11_50_01_P
5th row11_50_01_P

Common Values

ValueCountFrequency (%)
11_50_01_P 91
100.0%

Length

2024-04-21T08:14:39.997797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:40.279016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_01_p 91
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441978
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:40.537419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation19562.991
Coefficient of variation (CV)0.0056836479
Kurtosis-1.1169747
Mean3441978
Median Absolute Deviation (MAD)20000
Skewness0.28057381
Sum3.1322 × 108
Variance3.8271062 × 108
MonotonicityIncreasing
2024-04-21T08:14:40.914307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 21
23.1%
3420000 17
18.7%
3470000 14
15.4%
3450000 13
14.3%
3440000 10
11.0%
3460000 9
9.9%
3410000 4
 
4.4%
3480000 3
 
3.3%
ValueCountFrequency (%)
3410000 4
 
4.4%
3420000 17
18.7%
3430000 21
23.1%
3440000 10
11.0%
3450000 13
14.3%
3460000 9
9.9%
3470000 14
15.4%
3480000 3
 
3.3%
ValueCountFrequency (%)
3480000 3
 
3.3%
3470000 14
15.4%
3460000 9
9.9%
3450000 13
14.3%
3440000 10
11.0%
3430000 21
23.1%
3420000 17
18.7%
3410000 4
 
4.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0112014 × 1018
Minimum1.991347 × 1018
Maximum2.020347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:41.351789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.000843 × 1018
Q12.008341 × 1018
median2.011344 × 1018
Q32.0158445 × 1018
95-th percentile2.019344 × 1018
Maximum2.020347 × 1018
Range2.9000011 × 1016
Interquartile range (IQR)7.5035055 × 1015

Descriptive statistics

Standard deviation6.0928844 × 1015
Coefficient of variation (CV)0.0030294751
Kurtosis1.2732874
Mean2.0112014 × 1018
Median Absolute Deviation (MAD)3.9990003 × 1015
Skewness-0.9532802
Sum-1.4481178 × 1018
Variance3.7123241 × 1031
MonotonicityNot monotonic
2024-04-21T08:14:41.802286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2010341007114500011 1
 
1.1%
2019345016014500003 1
 
1.1%
2007346008111200001 1
 
1.1%
2007346008114500008 1
 
1.1%
2016346016014500005 1
 
1.1%
2015345014214500014 1
 
1.1%
2020345016014500012 1
 
1.1%
2020345016014500010 1
 
1.1%
2007345009911200001 1
 
1.1%
2013345009914500005 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1991347007511200001 1
1.1%
1993343001011200001 1
1.1%
1993345001211200001 1
1.1%
1998342005811200001 1
1.1%
2000344001411200001 1
1.1%
2001342005811200001 1
1.1%
2001342005811200002 1
1.1%
2002343001011200001 1
1.1%
2002347011714500002 1
1.1%
2003347011714500001 1
1.1%
ValueCountFrequency (%)
2020347018114500016 1
1.1%
2020345016014500012 1
1.1%
2020345016014500010 1
1.1%
2019346016214500007 1
1.1%
2019345016014500003 1
1.1%
2019343009514500003 1
1.1%
2019341013014500007 1
1.1%
2018345015514500008 1
1.1%
2018343009514500010 1
1.1%
2018343009514500001 1
1.1%

인허가일자
Real number (ℝ)

Distinct89
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20105447
Minimum19910809
Maximum20200923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:42.133654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910809
5-th percentile19990617
Q120080168
median20101223
Q320150162
95-th percentile20190473
Maximum20200923
Range290114
Interquartile range (IQR)69994.5

Descriptive statistics

Standard deviation59492.781
Coefficient of variation (CV)0.002959038
Kurtosis1.5314118
Mean20105447
Median Absolute Deviation (MAD)30895
Skewness-0.96451853
Sum1.8295957 × 109
Variance3.539391 × 109
MonotonicityNot monotonic
2024-04-21T08:14:42.392333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151231 2
 
2.2%
20140326 2
 
2.2%
20100721 1
 
1.1%
20191127 1
 
1.1%
20070313 1
 
1.1%
20071130 1
 
1.1%
20101209 1
 
1.1%
20200721 1
 
1.1%
20200718 1
 
1.1%
20070326 1
 
1.1%
Other values (79) 79
86.8%
ValueCountFrequency (%)
19910809 1
1.1%
19930803 1
1.1%
19931201 1
1.1%
19980409 1
1.1%
19980529 1
1.1%
20000705 1
1.1%
20010618 1
1.1%
20010710 1
1.1%
20010924 1
1.1%
20050115 1
1.1%
ValueCountFrequency (%)
20200923 1
1.1%
20200721 1
1.1%
20200718 1
1.1%
20191127 1
1.1%
20190724 1
1.1%
20190222 1
1.1%
20190125 1
1.1%
20181221 1
1.1%
20181210 1
1.1%
20180517 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size947.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size856.0 B
1
49 
3
41 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 49
53.8%
3 41
45.1%
4 1
 
1.1%

Length

2024-04-21T08:14:42.623237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:42.784481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
53.8%
3 41
45.1%
4 1
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size856.0 B
영업/정상
49 
폐업
41 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.7472527
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 49
53.8%
폐업 41
45.1%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-04-21T08:14:42.964319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:43.135003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 49
53.8%
폐업 41
45.1%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size856.0 B
20
49 
40
41 
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row40

Common Values

ValueCountFrequency (%)
20 49
53.8%
40 41
45.1%
70 1
 
1.1%

Length

2024-04-21T08:14:43.307512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:43.467135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 49
53.8%
40 41
45.1%
70 1
 
1.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size856.0 B
영업중
49 
폐업
41 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.5604396
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 49
53.8%
폐업 41
45.1%
등록취소 1
 
1.1%

Length

2024-04-21T08:14:43.659901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:43.846417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 49
53.8%
폐업 41
45.1%
등록취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)97.4%
Missing52
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean20155960
Minimum20090112
Maximum20201223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:44.036007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090112
5-th percentile20099404
Q120130210
median20160729
Q320181166
95-th percentile20200620
Maximum20201223
Range111111
Interquartile range (IQR)50956

Descriptive statistics

Standard deviation35234.522
Coefficient of variation (CV)0.0017480945
Kurtosis-1.2180444
Mean20155960
Median Absolute Deviation (MAD)29994
Skewness-0.32132176
Sum7.8608243 × 108
Variance1.2414716 × 109
MonotonicityNot monotonic
2024-04-21T08:14:44.276240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20200325 2
 
2.2%
20181220 1
 
1.1%
20130319 1
 
1.1%
20120222 1
 
1.1%
20131125 1
 
1.1%
20130115 1
 
1.1%
20140206 1
 
1.1%
20120614 1
 
1.1%
20180130 1
 
1.1%
20180126 1
 
1.1%
Other values (28) 28
30.8%
(Missing) 52
57.1%
ValueCountFrequency (%)
20090112 1
1.1%
20091202 1
1.1%
20100315 1
1.1%
20100401 1
1.1%
20110706 1
1.1%
20111219 1
1.1%
20120222 1
1.1%
20120612 1
1.1%
20120614 1
1.1%
20130115 1
1.1%
ValueCountFrequency (%)
20201223 1
1.1%
20200709 1
1.1%
20200610 1
1.1%
20200325 2
2.2%
20200102 1
1.1%
20190724 1
1.1%
20190723 1
1.1%
20190213 1
1.1%
20181220 1
1.1%
20181112 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size947.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size947.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size947.0 B

소재지전화
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing21
Missing (%)23.1%
Memory size856.0 B
2024-04-21T08:14:45.148827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.214286
Min length7

Characters and Unicode

Total characters785
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

Unique68 ?
Unique (%)97.1%

Sample

1st row053 424 0793
2nd row053 356 0463
3rd row053 4221901
4th row053 255 8166
5th row053 939 7742
ValueCountFrequency (%)
053 53
31.4%
356 3
 
1.8%
527 2
 
1.2%
8110127 2
 
1.2%
070 2
 
1.2%
1331 2
 
1.2%
767 2
 
1.2%
0308 1
 
0.6%
8031 1
 
0.6%
9928 1
 
0.6%
Other values (100) 100
59.2%
2024-04-21T08:14:46.199817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 128
16.3%
5 128
16.3%
3 111
14.1%
108
13.8%
1 59
7.5%
2 49
 
6.2%
7 49
 
6.2%
9 42
 
5.4%
4 39
 
5.0%
8 37
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 677
86.2%
Space Separator 108
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 128
18.9%
5 128
18.9%
3 111
16.4%
1 59
8.7%
2 49
 
7.2%
7 49
 
7.2%
9 42
 
6.2%
4 39
 
5.8%
8 37
 
5.5%
6 35
 
5.2%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 785
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 128
16.3%
5 128
16.3%
3 111
14.1%
108
13.8%
1 59
7.5%
2 49
 
6.2%
7 49
 
6.2%
9 42
 
5.4%
4 39
 
5.0%
8 37
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 785
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 128
16.3%
5 128
16.3%
3 111
14.1%
108
13.8%
1 59
7.5%
2 49
 
6.2%
7 49
 
6.2%
9 42
 
5.4%
4 39
 
5.0%
8 37
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size947.0 B

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)91.9%
Missing54
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean684727.68
Minimum0
Maximum706847
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:46.435310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700970.4
Q1701849
median703805
Q3705010
95-th percentile706308.8
Maximum706847
Range706847
Interquartile range (IQR)3161

Descriptive statistics

Standard deviation115708.78
Coefficient of variation (CV)0.1689851
Kurtosis36.981481
Mean684727.68
Median Absolute Deviation (MAD)1956
Skewness-6.0805386
Sum25334924
Variance1.3388521 × 1010
MonotonicityNot monotonic
2024-04-21T08:14:46.681365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
703846 2
 
2.2%
702852 2
 
2.2%
701730 2
 
2.2%
704833 1
 
1.1%
704310 1
 
1.1%
706060 1
 
1.1%
704946 1
 
1.1%
706847 1
 
1.1%
705817 1
 
1.1%
706180 1
 
1.1%
Other values (24) 24
26.4%
(Missing) 54
59.3%
ValueCountFrequency (%)
0 1
1.1%
700812 1
1.1%
701010 1
1.1%
701300 1
1.1%
701730 2
2.2%
701810 1
1.1%
701824 1
1.1%
701828 1
1.1%
701849 1
1.1%
702081 1
1.1%
ValueCountFrequency (%)
706847 1
1.1%
706824 1
1.1%
706180 1
1.1%
706060 1
1.1%
706032 1
1.1%
705832 1
1.1%
705818 1
1.1%
705817 1
1.1%
705801 1
1.1%
705010 1
1.1%

소재지전체주소
Text

MISSING 

Distinct72
Distinct (%)97.3%
Missing17
Missing (%)18.7%
Memory size856.0 B
2024-04-21T08:14:47.812136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.459459
Min length19

Characters and Unicode

Total characters1884
Distinct characters124
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)94.6%

Sample

1st row대구광역시 중구 대봉2동 88번지 4호
2nd row대구광역시 중구 삼덕동2가 149번지 63호
3rd row대구광역시 중구 남산동 2482번지
4th row대구광역시 동구 신천3동 95번지 벤처센터빌딩
5th row대구광역시 동구 신천동 107번지 4호 12층
ValueCountFrequency (%)
대구광역시 73
 
17.6%
서구 16
 
3.9%
수성구 14
 
3.4%
동구 12
 
2.9%
남구 10
 
2.4%
달서구 9
 
2.2%
1호 8
 
1.9%
6호 7
 
1.7%
북구 6
 
1.4%
7호 5
 
1.2%
Other values (195) 255
61.4%
2024-04-21T08:14:49.433869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
18.5%
구 144
 
7.6%
1 96
 
5.1%
동 87
 
4.6%
대 85
 
4.5%
시 74
 
3.9%
지 74
 
3.9%
광 73
 
3.9%
역 73
 
3.9%
번 72
 
3.8%
Other values (114) 757
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1109
58.9%
Decimal Number 421
 
22.3%
Space Separator 349
 
18.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 144
13.0%
동 87
 
7.8%
대 85
 
7.7%
시 74
 
6.7%
지 74
 
6.7%
광 73
 
6.6%
역 73
 
6.6%
번 72
 
6.5%
호 68
 
6.1%
서 26
 
2.3%
Other values (100) 333
30.0%
Decimal Number
ValueCountFrequency (%)
1 96
22.8%
2 55
13.1%
3 42
10.0%
5 41
9.7%
4 38
 
9.0%
6 37
 
8.8%
0 36
 
8.6%
7 31
 
7.4%
8 26
 
6.2%
9 19
 
4.5%
Space Separator
ValueCountFrequency (%)
349
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1109
58.9%
Common 775
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 144
13.0%
동 87
 
7.8%
대 85
 
7.7%
시 74
 
6.7%
지 74
 
6.7%
광 73
 
6.6%
역 73
 
6.6%
번 72
 
6.5%
호 68
 
6.1%
서 26
 
2.3%
Other values (100) 333
30.0%
Common
ValueCountFrequency (%)
349
45.0%
1 96
 
12.4%
2 55
 
7.1%
3 42
 
5.4%
5 41
 
5.3%
4 38
 
4.9%
6 37
 
4.8%
0 36
 
4.6%
7 31
 
4.0%
8 26
 
3.4%
Other values (4) 24
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1109
58.9%
ASCII 775
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
45.0%
1 96
 
12.4%
2 55
 
7.1%
3 42
 
5.4%
5 41
 
5.3%
4 38
 
4.9%
6 37
 
4.8%
0 36
 
4.6%
7 31
 
4.0%
8 26
 
3.4%
Other values (4) 24
 
3.1%
Hangul
ValueCountFrequency (%)
구 144
13.0%
동 87
 
7.8%
대 85
 
7.7%
시 74
 
6.7%
지 74
 
6.7%
광 73
 
6.6%
역 73
 
6.6%
번 72
 
6.5%
호 68
 
6.1%
서 26
 
2.3%
Other values (100) 333
30.0%

도로명전체주소
Text

MISSING 

Distinct82
Distinct (%)97.6%
Missing7
Missing (%)7.7%
Memory size856.0 B
2024-04-21T08:14:50.413135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40.5
Mean length29.011905
Min length21

Characters and Unicode

Total characters2437
Distinct characters183
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)95.2%

Sample

1st row대구광역시 중구 대봉로 243 (대봉동)
2nd row대구광역시 중구 국채보상로 554-1 (종로1가)
3rd row대구광역시 중구 공평로4길 24-7 (삼덕동2가)
4th row대구광역시 동구 동대구로 475 (신천동, 대구테크노파크)
5th row대구광역시 동구 동대구로 461, 12층 (신천동)
ValueCountFrequency (%)
대구광역시 83
 
17.2%
서구 16
 
3.3%
동구 16
 
3.3%
수성구 14
 
2.9%
남구 11
 
2.3%
북구 11
 
2.3%
달서구 9
 
1.9%
4층 7
 
1.5%
평리동 7
 
1.5%
국채보상로 6
 
1.2%
Other values (220) 302
62.7%
2024-04-21T08:14:51.634747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
398
 
16.3%
구 187
 
7.7%
대 123
 
5.0%
동 117
 
4.8%
시 87
 
3.6%
역 84
 
3.4%
광 84
 
3.4%
로 83
 
3.4%
) 80
 
3.3%
( 80
 
3.3%
Other values (173) 1114
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1442
59.2%
Space Separator 398
 
16.3%
Decimal Number 370
 
15.2%
Close Punctuation 80
 
3.3%
Open Punctuation 80
 
3.3%
Other Punctuation 51
 
2.1%
Dash Punctuation 16
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 187
 
13.0%
대 123
 
8.5%
동 117
 
8.1%
시 87
 
6.0%
역 84
 
5.8%
광 84
 
5.8%
로 83
 
5.8%
성 37
 
2.6%
서 36
 
2.5%
길 35
 
2.4%
Other values (158) 569
39.5%
Decimal Number
ValueCountFrequency (%)
1 79
21.4%
2 53
14.3%
3 45
12.2%
4 40
10.8%
6 36
9.7%
0 33
8.9%
7 30
 
8.1%
5 24
 
6.5%
9 15
 
4.1%
8 15
 
4.1%
Space Separator
ValueCountFrequency (%)
398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1442
59.2%
Common 995
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 187
 
13.0%
대 123
 
8.5%
동 117
 
8.1%
시 87
 
6.0%
역 84
 
5.8%
광 84
 
5.8%
로 83
 
5.8%
성 37
 
2.6%
서 36
 
2.5%
길 35
 
2.4%
Other values (158) 569
39.5%
Common
ValueCountFrequency (%)
398
40.0%
) 80
 
8.0%
( 80
 
8.0%
1 79
 
7.9%
2 53
 
5.3%
, 51
 
5.1%
3 45
 
4.5%
4 40
 
4.0%
6 36
 
3.6%
0 33
 
3.3%
Other values (5) 100
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1442
59.2%
ASCII 995
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
398
40.0%
) 80
 
8.0%
( 80
 
8.0%
1 79
 
7.9%
2 53
 
5.3%
, 51
 
5.1%
3 45
 
4.5%
4 40
 
4.0%
6 36
 
3.6%
0 33
 
3.3%
Other values (5) 100
 
10.1%
Hangul
ValueCountFrequency (%)
구 187
 
13.0%
대 123
 
8.5%
동 117
 
8.1%
시 87
 
6.0%
역 84
 
5.8%
광 84
 
5.8%
로 83
 
5.8%
성 37
 
2.6%
서 36
 
2.5%
길 35
 
2.4%
Other values (158) 569
39.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)96.4%
Missing36
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean318702.6
Minimum38453
Maximum706827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:51.887630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38453
5-th percentile41075
Q141808
median42704
Q3702468.5
95-th percentile706115.1
Maximum706827
Range668374
Interquartile range (IQR)660660.5

Descriptive statistics

Standard deviation329505.93
Coefficient of variation (CV)1.0338979
Kurtosis-1.9560629
Mean318702.6
Median Absolute Deviation (MAD)1506
Skewness0.34115068
Sum17528643
Variance1.0857416 × 1011
MonotonicityNot monotonic
2024-04-21T08:14:52.263601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42429 2
 
2.2%
701730 2
 
2.2%
42981 1
 
1.1%
42149 1
 
1.1%
41589 1
 
1.1%
702100 1
 
1.1%
42921 1
 
1.1%
702837 1
 
1.1%
41500 1
 
1.1%
41504 1
 
1.1%
Other values (43) 43
47.3%
(Missing) 36
39.6%
ValueCountFrequency (%)
38453 1
1.1%
41061 1
1.1%
41068 1
1.1%
41078 1
1.1%
41198 1
1.1%
41207 1
1.1%
41500 1
1.1%
41504 1
1.1%
41534 1
1.1%
41580 1
1.1%
ValueCountFrequency (%)
706827 1
1.1%
706824 1
1.1%
706764 1
1.1%
705837 1
1.1%
705832 1
1.1%
705801 1
1.1%
704946 1
1.1%
704923 1
1.1%
704901 1
1.1%
704833 1
1.1%

사업장명
Text

Distinct89
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size856.0 B
2024-04-21T08:14:53.009788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length15.032967
Min length4

Characters and Unicode

Total characters1368
Distinct characters181
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)95.6%

Sample

1st row대구경북인쇄정보산업협동조합
2nd row(사)더나은세상을위한공감
3rd row대구중구시니어클럽
4th row대구광역시장애인재활협회
5th row대구테크노파크 경북대학교센터
ValueCountFrequency (%)
무료직업소개소 19
 
14.0%
사단법인 3
 
2.2%
대구취업지원센터 2
 
1.5%
토목건축노동조합 2
 
1.5%
대구희망리본본부 2
 
1.5%
대구경북지역 2
 
1.5%
재)대구직업전문학교 2
 
1.5%
대구테크노파크 2
 
1.5%
한국녹색환경협회 2
 
1.5%
수성지역자활센터무료직업소개소 1
 
0.7%
Other values (99) 99
72.8%
2024-04-21T08:14:53.934993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 95
 
6.9%
업 72
 
5.3%
구 68
 
5.0%
대 55
 
4.0%
개 49
 
3.6%
직 46
 
3.4%
45
 
3.3%
무 40
 
2.9%
료 38
 
2.8%
지 35
 
2.6%
Other values (171) 825
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1268
92.7%
Space Separator 45
 
3.3%
Close Punctuation 23
 
1.7%
Open Punctuation 21
 
1.5%
Uppercase Letter 9
 
0.7%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 95
 
7.5%
업 72
 
5.7%
구 68
 
5.4%
대 55
 
4.3%
개 49
 
3.9%
직 46
 
3.6%
무 40
 
3.2%
료 38
 
3.0%
지 35
 
2.8%
회 30
 
2.4%
Other values (163) 740
58.4%
Uppercase Letter
ValueCountFrequency (%)
H 3
33.3%
R 3
33.3%
D 3
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1268
92.7%
Common 91
 
6.7%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 95
 
7.5%
업 72
 
5.7%
구 68
 
5.4%
대 55
 
4.3%
개 49
 
3.9%
직 46
 
3.6%
무 40
 
3.2%
료 38
 
3.0%
지 35
 
2.8%
회 30
 
2.4%
Other values (163) 740
58.4%
Common
ValueCountFrequency (%)
45
49.5%
) 23
25.3%
( 21
23.1%
1 1
 
1.1%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
H 3
33.3%
R 3
33.3%
D 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1268
92.7%
ASCII 100
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 95
 
7.5%
업 72
 
5.7%
구 68
 
5.4%
대 55
 
4.3%
개 49
 
3.9%
직 46
 
3.6%
무 40
 
3.2%
료 38
 
3.0%
지 35
 
2.8%
회 30
 
2.4%
Other values (163) 740
58.4%
ASCII
ValueCountFrequency (%)
45
45.0%
) 23
23.0%
( 21
21.0%
H 3
 
3.0%
R 3
 
3.0%
D 3
 
3.0%
1 1
 
1.0%
3 1
 
1.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164223 × 1013
Minimum2.0041202 × 1013
Maximum2.0201223 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:54.179958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041202 × 1013
5-th percentile2.0095161 × 1013
Q12.0140554 × 1013
median2.0180517 × 1013
Q32.0190924 × 1013
95-th percentile2.020077 × 1013
Maximum2.0201223 × 1013
Range1.6002099 × 1011
Interquartile range (IQR)5.0370047 × 1010

Descriptive statistics

Standard deviation3.831848 × 1010
Coefficient of variation (CV)0.0019003202
Kurtosis0.9655321
Mean2.0164223 × 1013
Median Absolute Deviation (MAD)2.0089013 × 1010
Skewness-1.2110695
Sum1.8349443 × 1015
Variance1.4683059 × 1021
MonotonicityNot monotonic
2024-04-21T08:14:54.442226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200630164628 1
 
1.1%
20200117155947 1
 
1.1%
20090203112122 1
 
1.1%
20180517115302 1
 
1.1%
20180129202952 1
 
1.1%
20160204101454 1
 
1.1%
20200721145240 1
 
1.1%
20200718055855 1
 
1.1%
20190524180552 1
 
1.1%
20190107180800 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
20041202160424 1
1.1%
20060418113940 1
1.1%
20060926104055 1
1.1%
20061012152922 1
1.1%
20090203112122 1
1.1%
20100118102143 1
1.1%
20100315134850 1
1.1%
20100402085755 1
1.1%
20110706105938 1
1.1%
20111219171558 1
1.1%
ValueCountFrequency (%)
20201223152811 1
1.1%
20201022101106 1
1.1%
20200924090959 1
1.1%
20200908104603 1
1.1%
20200818154718 1
1.1%
20200721145240 1
1.1%
20200718055855 1
1.1%
20200709144514 1
1.1%
20200707175744 1
1.1%
20200630164628 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size856.0 B
I
53 
U
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowU
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 53
58.2%
U 38
41.8%

Length

2024-04-21T08:14:54.680876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:54.833944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
58.2%
u 38
41.8%

데이터갱신일자
Categorical

Distinct36
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size856.0 B
2018-08-31 23:59:59.0
49 
2019-09-26 02:40:00.0
 
3
2020-01-19 02:40:00.0
 
3
2019-08-18 02:40:00.0
 
2
2019-01-12 02:40:00.0
 
2
Other values (31)
32 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique30 ?
Unique (%)33.0%

Sample

1st row2020-07-02 02:40:00.0
2nd row2019-08-28 02:40:00.0
3rd row2019-08-18 02:40:00.0
4th row2019-08-18 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 49
53.8%
2019-09-26 02:40:00.0 3
 
3.3%
2020-01-19 02:40:00.0 3
 
3.3%
2019-08-18 02:40:00.0 2
 
2.2%
2019-01-12 02:40:00.0 2
 
2.2%
2020-03-27 02:40:00.0 2
 
2.2%
2019-02-15 02:40:00.0 1
 
1.1%
2019-08-28 02:40:00.0 1
 
1.1%
2020-06-12 02:40:00.0 1
 
1.1%
2018-11-17 02:38:08.0 1
 
1.1%
Other values (26) 26
28.6%

Length

2024-04-21T08:14:55.000145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 50
27.5%
2018-08-31 49
26.9%
02:40:00.0 35
19.2%
2019-09-26 3
 
1.6%
2020-01-19 3
 
1.6%
2019-08-18 2
 
1.1%
2019-01-12 2
 
1.1%
2020-03-27 2
 
1.1%
2020-07-02 1
 
0.5%
2020-07-09 1
 
0.5%
Other values (34) 34
18.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size947.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)89.9%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean343882.1
Minimum329454.22
Maximum366747.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:55.211788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329454.22
5-th percentile334997.05
Q1340190.61
median344194.1
Q3346678.07
95-th percentile355630.22
Maximum366747.7
Range37293.488
Interquartile range (IQR)6487.4593

Descriptive statistics

Standard deviation5857.9021
Coefficient of variation (CV)0.017034624
Kurtosis2.3428657
Mean343882.1
Median Absolute Deviation (MAD)2996.8137
Skewness0.68435862
Sum30605507
Variance34315017
MonotonicityNot monotonic
2024-04-21T08:14:55.467668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346672.854539 2
 
2.2%
344046.261885 2
 
2.2%
337705.232586 2
 
2.2%
339384.623178 2
 
2.2%
336819.52894 2
 
2.2%
342619.210678 2
 
2.2%
340142.495318 2
 
2.2%
344332.554299 2
 
2.2%
344989.451389 2
 
2.2%
344468.477105 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 2
 
2.2%
ValueCountFrequency (%)
329454.216845 1
1.1%
331235.147561 1
1.1%
332592.498861 1
1.1%
333862.343439 1
1.1%
334303.395884 1
1.1%
336037.521032 1
1.1%
336405.598377 1
1.1%
336819.52894 2
2.2%
337632.0 1
1.1%
337705.232586 2
2.2%
ValueCountFrequency (%)
366747.704560687 1
1.1%
356677.0 1
1.1%
356078.0 1
1.1%
356070.888605 1
1.1%
356001.144497932 1
1.1%
355073.826078 1
1.1%
354504.881098 1
1.1%
351075.382274 1
1.1%
350653.343026 1
1.1%
349673.153843 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)89.9%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean263602.2
Minimum248727.67
Maximum272229.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size947.0 B
2024-04-21T08:14:55.730008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248727.67
5-th percentile259409.22
Q1262117.31
median263518.13
Q3265280.52
95-th percentile268075.71
Maximum272229.95
Range23502.28
Interquartile range (IQR)3163.2068

Descriptive statistics

Standard deviation3193.1635
Coefficient of variation (CV)0.012113569
Kurtosis5.3383227
Mean263602.2
Median Absolute Deviation (MAD)1762.3919
Skewness-1.1592452
Sum23460596
Variance10196293
MonotonicityNot monotonic
2024-04-21T08:14:55.974171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264843.003409 2
 
2.2%
261742.707245 2
 
2.2%
262521.308163 2
 
2.2%
263518.126678 2
 
2.2%
259409.219302 2
 
2.2%
266252.707106 2
 
2.2%
263121.400886 2
 
2.2%
265280.518596 2
 
2.2%
267618.377001 2
 
2.2%
265049.171279 1
 
1.1%
Other values (70) 70
76.9%
(Missing) 2
 
2.2%
ValueCountFrequency (%)
248727.671723 1
1.1%
253850.09474 1
1.1%
257467.514119 1
1.1%
258325.049675 1
1.1%
259409.219302 2
2.2%
259688.94559 1
1.1%
260145.429824 1
1.1%
260166.238089 1
1.1%
261117.703694427 1
1.1%
261215.496084 1
1.1%
ValueCountFrequency (%)
272229.951945 1
1.1%
269105.367036386 1
1.1%
269056.775908 1
1.1%
268745.606545 1
1.1%
268084.84261 1
1.1%
268062.0 1
1.1%
268051.856327 1
1.1%
267685.117048 1
1.1%
267618.377001 2
2.2%
266853.800698 1
1.1%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size856.0 B
법인
82 
개인
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 82
90.1%
개인 9
 
9.9%

Length

2024-04-21T08:14:56.191551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:56.346233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 82
90.1%
개인 9
 
9.9%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
무료
91 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 91
100.0%

Length

2024-04-21T08:14:56.507921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:14:56.659432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 91
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01무료직업소개소11_50_01_P3410000201034100711450001120100721<NA>1영업/정상20영업중<NA><NA><NA><NA>053 424 0793<NA>700812대구광역시 중구 대봉2동 88번지 4호대구광역시 중구 대봉로 243 (대봉동)<NA>대구경북인쇄정보산업협동조합20200630164628U2020-07-02 02:40:00.0<NA>344507.804235263411.962963법인무료
12무료직업소개소11_50_01_P3410000201934101301450000720190724<NA>1영업/정상20영업중<NA><NA><NA><NA>053 356 0463<NA><NA><NA>대구광역시 중구 국채보상로 554-1 (종로1가)41935(사)더나은세상을위한공감20190826100450U2019-08-28 02:40:00.0<NA>343655.153991264524.42689법인무료
23무료직업소개소11_50_01_P3410000200834100711450000320080204<NA>1영업/정상20영업중<NA><NA><NA><NA>053 4221901<NA><NA>대구광역시 중구 삼덕동2가 149번지 63호대구광역시 중구 공평로4길 24-7 (삼덕동2가)<NA>대구중구시니어클럽20190816140707U2019-08-18 02:40:00.0<NA>344551.468748263933.992285법인무료
34무료직업소개소11_50_01_P3410000200834100711450000620080407<NA>1영업/정상20영업중<NA><NA><NA><NA>053 255 8166<NA><NA>대구광역시 중구 남산동 2482번지<NA><NA>대구광역시장애인재활협회20190816152208U2019-08-18 02:40:00.0<NA><NA><NA>법인무료
45무료직업소개소11_50_01_P3420000201334201111450001020130802<NA>3폐업40폐업20140901<NA><NA><NA>053 939 7742<NA>701730대구광역시 동구 신천3동 95번지 벤처센터빌딩대구광역시 동구 동대구로 475 (신천동, 대구테크노파크)701730대구테크노파크 경북대학교센터20140901162913I2018-08-31 23:59:59.0<NA>346672.854539264843.003409법인무료
56무료직업소개소11_50_01_P3420000201234201111450002420120608<NA>3폐업40폐업20160729<NA><NA><NA>053 740 0041<NA>701824대구광역시 동구 신천동 107번지 4호 12층대구광역시 동구 동대구로 461, 12층 (신천동)701824(재)대구경북디자인센터20160729160210I2018-08-31 23:59:59.0<NA>346678.067969264683.827139법인무료
67무료직업소개소11_50_01_P3420000201234201111450001920120418<NA>3폐업40폐업20181220<NA><NA><NA>053 955 1953<NA><NA>대구광역시 동구 방촌동 871번지 25호대구광역시 동구 동촌로 265-1, 5층 (방촌동, 난빌딩)701801동구희망일자리지원센터20181227091652U2018-12-29 02:40:00.0<NA>350653.343026265751.633029법인무료
78무료직업소개소11_50_01_P3420000201234201111450000720120202<NA>3폐업40폐업20180521<NA><NA><NA>053 961 2202<NA>701849대구광역시 동구 동호동 358번지 대구가톨릭대학교부설유치원 4층대구광역시 동구 안심로 300 (동호동, 대구가톨릭대학교부설유치원 4층)701849동구다문화가족지원센터20180521105325I2018-08-31 23:59:59.0<NA>355073.826078264205.263746법인무료
89무료직업소개소11_50_01_P3420000201034200901450000620100331<NA>3폐업40폐업20140114<NA><NA><NA>053 959 2277<NA>701810대구광역시 동구 신암동 1553번지 대동빌딩 4층대구광역시 동구 아양로 251, 4층 (신암동, 대동빌딩)701810대구동구시니어클럽20140114151529I2018-08-31 23:59:59.0<NA>348025.822015266511.759073개인무료
910무료직업소개소11_50_01_P3420000200534200581120000120051123<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 974번지 2호 12통 2반대구광역시 수성구 국채보상로 1070 (만촌동)<NA>조달인력20060418113940I2018-08-31 23:59:59.0<NA>348643.447797264384.969021개인무료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
8182무료직업소개소11_50_01_P3470000201534701171450000920150602<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성서공단북로 132 (갈산동)704901한국노총 대구지역본부 무료직업소개소20150602094915I2018-08-31 23:59:59.0<NA>334303.395884261431.686003법인무료
8283무료직업소개소11_50_01_P3470000201234701171450001420120711<NA>1영업/정상20영업중<NA><NA><NA><NA>053 745 4700<NA>704833대구광역시 달서구 월암동 1111번지 (1층)대구광역시 달서구 성서4차첨단로 122-11, 1층 (월암동)704833(사)중소기업기술혁신협회 대구경북지회 무료직업소개소20180423151203I2018-08-31 23:59:59.0<NA>336819.52894259409.219302법인무료
8384무료직업소개소11_50_01_P3470000201234701171450001020120430<NA>1영업/정상20영업중<NA><NA><NA><NA>053 580 5508<NA>704946대구광역시 달서구 호산동 1번지 11호 (1층)대구광역시 달서구 달구벌대로 1053, 1층 (호산동)704946대구테크노파크 계명대학교센터 무료직업소개소20200117174643U2020-01-19 02:40:00.0<NA>333862.343439262427.427848법인무료
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