Overview

Dataset statistics

Number of variables30
Number of observations86
Missing cells692
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory259.5 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description6270000_대구광역시_11_50_01_P_무료직업소개소_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000048603&dataSetDetailId=DDI_0000048612&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (55.4%)Imbalance
인허가취소일자 has 86 (100.0%) missing valuesMissing
폐업일자 has 55 (64.0%) missing valuesMissing
휴업시작일자 has 86 (100.0%) missing valuesMissing
휴업종료일자 has 86 (100.0%) missing valuesMissing
재개업일자 has 86 (100.0%) missing valuesMissing
소재지전화 has 20 (23.3%) missing valuesMissing
소재지면적 has 86 (100.0%) missing valuesMissing
소재지우편번호 has 41 (47.7%) missing valuesMissing
소재지전체주소 has 13 (15.1%) missing valuesMissing
도로명전체주소 has 7 (8.1%) missing valuesMissing
도로명우편번호 has 36 (41.9%) missing valuesMissing
업태구분명 has 86 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.3%) missing valuesMissing
좌표정보(Y) has 2 (2.3%) 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 (1.2%) zerosZeros

Reproduction

Analysis started2024-04-18 00:11:01.498803
Analysis finished2024-04-18 00:11:01.943892
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:02.021313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2024-04-18T09:11:02.156650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
무료직업소개소
86 

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 86
100.0%

Length

2024-04-18T09:11:02.280717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:02.375875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료직업소개소 86
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
11_50_01_P
86 

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 86
100.0%

Length

2024-04-18T09:11:02.477398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:02.562397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_01_p 86
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3441744.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:02.640905image/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 deviation19535.299
Coefficient of variation (CV)0.0056759881
Kurtosis-1.1146409
Mean3441744.2
Median Absolute Deviation (MAD)20000
Skewness0.35028002
Sum2.9599 × 108
Variance3.8162791 × 108
MonotonicityIncreasing
2024-04-18T09:11:03.365980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3430000 21
24.4%
3420000 17
19.8%
3470000 13
15.1%
3440000 10
11.6%
3450000 10
11.6%
3460000 9
10.5%
3410000 3
 
3.5%
3480000 3
 
3.5%
ValueCountFrequency (%)
3410000 3
 
3.5%
3420000 17
19.8%
3430000 21
24.4%
3440000 10
11.6%
3450000 10
11.6%
3460000 9
10.5%
3470000 13
15.1%
3480000 3
 
3.5%
ValueCountFrequency (%)
3480000 3
 
3.5%
3470000 13
15.1%
3460000 9
10.5%
3450000 10
11.6%
3440000 10
11.6%
3430000 21
24.4%
3420000 17
19.8%
3410000 3
 
3.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.010693 × 1018
Minimum1.991347 × 1018
Maximum2.019346 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:03.560205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991347 × 1018
5-th percentile2.0005935 × 1018
Q12.0075955 × 1018
median2.0103455 × 1018
Q32.0153445 × 1018
95-th percentile2.0183428 × 1018
Maximum2.019346 × 1018
Range2.7999009 × 1016
Interquartile range (IQR)7.7490025 × 1015

Descriptive statistics

Standard deviation5.8766132 × 1015
Coefficient of variation (CV)0.0029226805
Kurtosis1.5183261
Mean2.010693 × 1018
Median Absolute Deviation (MAD)3.5005005 × 1015
Skewness-1.0602709
Sum6.8989032 × 1018
Variance3.4534583 × 1031
MonotonicityNot monotonic
2024-04-18T09:11:03.707916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008341007114500003 1
 
1.2%
2012345009914500004 1
 
1.2%
2019346016214500007 1
 
1.2%
2016346016014500005 1
 
1.2%
2007346008114500008 1
 
1.2%
2007345009911200001 1
 
1.2%
2013345009914500005 1
 
1.2%
2014345009914500002 1
 
1.2%
2015345014214500014 1
 
1.2%
2018345015514500008 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1991347007511200001 1
1.2%
1993343001011200001 1
1.2%
1993345001211200001 1
1.2%
1998342005811200001 1
1.2%
2000344001411200001 1
1.2%
2001342005811200001 1
1.2%
2001342005811200002 1
1.2%
2002343001011200001 1
1.2%
2002347011714500002 1
1.2%
2003347011714500001 1
1.2%
ValueCountFrequency (%)
2019346016214500007 1
1.2%
2019343009514500003 1
1.2%
2018345015514500008 1
1.2%
2018343009514500010 1
1.2%
2018343009514500001 1
1.2%
2018342013514500021 1
1.2%
2018342013514500017 1
1.2%
2018342013514500011 1
1.2%
2017348035814500005 1
1.2%
2017343009514500003 1
1.2%

인허가일자
Real number (ℝ)

Distinct84
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100133
Minimum19910809
Maximum20190222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:03.845014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910809
5-th percentile19985573
Q120073380
median20100918
Q320131168
95-th percentile20180418
Maximum20190222
Range279413
Interquartile range (IQR)57787.25

Descriptive statistics

Standard deviation56800.395
Coefficient of variation (CV)0.0028258716
Kurtosis1.8859118
Mean20100133
Median Absolute Deviation (MAD)30200.5
Skewness-1.139812
Sum1.7286115 × 109
Variance3.2262849 × 109
MonotonicityNot monotonic
2024-04-18T09:11:03.986808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151231 2
 
2.3%
20140326 2
 
2.3%
20080204 1
 
1.2%
20120227 1
 
1.2%
20150408 1
 
1.2%
20190222 1
 
1.2%
20101209 1
 
1.2%
20071130 1
 
1.2%
20070326 1
 
1.2%
20131216 1
 
1.2%
Other values (74) 74
86.0%
ValueCountFrequency (%)
19910809 1
1.2%
19930803 1
1.2%
19931201 1
1.2%
19980409 1
1.2%
19980529 1
1.2%
20000705 1
1.2%
20010618 1
1.2%
20010710 1
1.2%
20010924 1
1.2%
20050115 1
1.2%
ValueCountFrequency (%)
20190222 1
1.2%
20190125 1
1.2%
20181221 1
1.2%
20181210 1
1.2%
20180517 1
1.2%
20180123 1
1.2%
20170906 1
1.2%
20170316 1
1.2%
20170106 1
1.2%
20160511 1
1.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
1
52 
3
33 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 52
60.5%
3 33
38.4%
4 1
 
1.2%

Length

2024-04-18T09:11:04.105604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:04.208895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
60.5%
3 33
38.4%
4 1
 
1.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
영업/정상
52 
폐업
33 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.9534884
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 52
60.5%
폐업 33
38.4%
취소/말소/만료/정지/중지 1
 
1.2%

Length

2024-04-18T09:11:04.320429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:04.431814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 52
60.5%
폐업 33
38.4%
취소/말소/만료/정지/중지 1
 
1.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
20
52 
40
33 
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
20 52
60.5%
40 33
38.4%
70 1
 
1.2%

Length

2024-04-18T09:11:04.530204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:04.618711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 52
60.5%
40 33
38.4%
70 1
 
1.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
영업중
52 
폐업
33 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.627907
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 52
60.5%
폐업 33
38.4%
등록취소 1
 
1.2%

Length

2024-04-18T09:11:04.736849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:04.849384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 52
60.5%
폐업 33
38.4%
등록취소 1
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing55
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean20145087
Minimum20090112
Maximum20190213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:04.961597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090112
5-th percentile20095758
Q120120613
median20140901
Q320180316
95-th percentile20181166
Maximum20190213
Range100101
Interquartile range (IQR)59703

Descriptive statistics

Standard deviation31179.006
Coefficient of variation (CV)0.0015477226
Kurtosis-1.2467201
Mean20145087
Median Absolute Deviation (MAD)29682
Skewness-0.15472901
Sum6.2449768 × 108
Variance9.7213044 × 108
MonotonicityNot monotonic
2024-04-18T09:11:05.090690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20130305 1
 
1.2%
20180502 1
 
1.2%
20100401 1
 
1.2%
20160428 1
 
1.2%
20090112 1
 
1.2%
20180126 1
 
1.2%
20180517 1
 
1.2%
20130115 1
 
1.2%
20140206 1
 
1.2%
20120614 1
 
1.2%
Other values (21) 21
 
24.4%
(Missing) 55
64.0%
ValueCountFrequency (%)
20090112 1
1.2%
20091202 1
1.2%
20100315 1
1.2%
20100401 1
1.2%
20110706 1
1.2%
20111219 1
1.2%
20120222 1
1.2%
20120612 1
1.2%
20120614 1
1.2%
20130115 1
1.2%
ValueCountFrequency (%)
20190213 1
1.2%
20181220 1
1.2%
20181112 1
1.2%
20180731 1
1.2%
20180620 1
1.2%
20180521 1
1.2%
20180517 1
1.2%
20180502 1
1.2%
20180130 1
1.2%
20180126 1
1.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소재지전화
Text

MISSING 

Distinct65
Distinct (%)98.5%
Missing20
Missing (%)23.3%
Memory size820.0 B
2024-04-18T09:11:05.318225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.030303
Min length7

Characters and Unicode

Total characters728
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

Unique64 ?
Unique (%)97.0%

Sample

1st row4221901
2nd row053 424 0793
3rd row2558166
4th row053 983 9100
5th row053 242 1331
ValueCountFrequency (%)
053 49
31.6%
527 2
 
1.3%
356 2
 
1.3%
767 2
 
1.3%
1331 2
 
1.3%
8110127 2
 
1.3%
0350 1
 
0.6%
3417080 1
 
0.6%
1985 1
 
0.6%
359 1
 
0.6%
Other values (92) 92
59.4%
2024-04-18T09:11:05.675154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 120
16.5%
0 117
16.1%
3 101
13.9%
98
13.5%
1 56
7.7%
2 49
6.7%
9 43
 
5.9%
8 40
 
5.5%
7 39
 
5.4%
6 34
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
86.5%
Space Separator 98
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 120
19.0%
0 117
18.6%
3 101
16.0%
1 56
8.9%
2 49
7.8%
9 43
 
6.8%
8 40
 
6.3%
7 39
 
6.2%
6 34
 
5.4%
4 31
 
4.9%
Space Separator
ValueCountFrequency (%)
98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 120
16.5%
0 117
16.1%
3 101
13.9%
98
13.5%
1 56
7.7%
2 49
6.7%
9 43
 
5.9%
8 40
 
5.5%
7 39
 
5.4%
6 34
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 120
16.5%
0 117
16.1%
3 101
13.9%
98
13.5%
1 56
7.7%
2 49
6.7%
9 43
 
5.9%
8 40
 
5.5%
7 39
 
5.4%
6 34
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)91.1%
Missing41
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean687969.44
Minimum0
Maximum706847
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:05.812584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700517.6
Q1701828
median703090
Q3704953
95-th percentile706162.2
Maximum706847
Range706847
Interquartile range (IQR)3125

Descriptive statistics

Standard deviation104902.84
Coefficient of variation (CV)0.15248183
Kurtosis44.971403
Mean687969.44
Median Absolute Deviation (MAD)1360
Skewness-6.7050754
Sum30958625
Variance1.1004606 × 1010
MonotonicityNot monotonic
2024-04-18T09:11:05.942014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
702852 2
 
2.3%
701730 2
 
2.3%
703846 2
 
2.3%
703061 2
 
2.3%
706824 1
 
1.2%
702814 1
 
1.2%
702081 1
 
1.2%
701828 1
 
1.2%
702837 1
 
1.2%
706032 1
 
1.2%
Other values (31) 31
36.0%
(Missing) 41
47.7%
ValueCountFrequency (%)
0 1
1.2%
700412 1
1.2%
700444 1
1.2%
700812 1
1.2%
701010 1
1.2%
701300 1
1.2%
701730 2
2.3%
701810 1
1.2%
701816 1
1.2%
701824 1
1.2%
ValueCountFrequency (%)
706847 1
1.2%
706824 1
1.2%
706180 1
1.2%
706091 1
1.2%
706060 1
1.2%
706032 1
1.2%
705832 1
1.2%
705818 1
1.2%
705817 1
1.2%
705801 1
1.2%

소재지전체주소
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing13
Missing (%)15.1%
Memory size820.0 B
2024-04-18T09:11:06.253379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.520548
Min length19

Characters and Unicode

Total characters1863
Distinct characters126
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

Unique69 ?
Unique (%)94.5%

Sample

1st row대구광역시 중구 삼덕동2가 149번지 63호
2nd row대구광역시 중구 대봉2동 88번지 4호
3rd row대구광역시 중구 남산동 2482번지
4th row대구광역시 동구 신천3동 95번지 벤처센터빌딩
5th row대구광역시 동구 동호동 107번지 5호
ValueCountFrequency (%)
대구광역시 72
 
17.6%
서구 16
 
3.9%
수성구 14
 
3.4%
동구 12
 
2.9%
남구 10
 
2.4%
달서구 9
 
2.2%
1호 7
 
1.7%
6호 7
 
1.7%
북구 6
 
1.5%
7호 5
 
1.2%
Other values (192) 252
61.5%
2024-04-18T09:11:06.705292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
18.5%
구 143
 
7.7%
1 95
 
5.1%
동 87
 
4.7%
대 84
 
4.5%
시 73
 
3.9%
지 73
 
3.9%
광 72
 
3.9%
역 72
 
3.9%
번 71
 
3.8%
Other values (116) 748
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1095
58.8%
Decimal Number 418
 
22.4%
Space Separator 345
 
18.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 143
13.1%
동 87
 
7.9%
대 84
 
7.7%
시 73
 
6.7%
지 73
 
6.7%
광 72
 
6.6%
역 72
 
6.6%
번 71
 
6.5%
호 68
 
6.2%
서 26
 
2.4%
Other values (102) 326
29.8%
Decimal Number
ValueCountFrequency (%)
1 95
22.7%
2 55
13.2%
3 43
10.3%
4 39
9.3%
5 39
9.3%
6 38
 
9.1%
0 36
 
8.6%
7 31
 
7.4%
8 25
 
6.0%
9 17
 
4.1%
Space Separator
ValueCountFrequency (%)
345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1095
58.8%
Common 768
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 143
13.1%
동 87
 
7.9%
대 84
 
7.7%
시 73
 
6.7%
지 73
 
6.7%
광 72
 
6.6%
역 72
 
6.6%
번 71
 
6.5%
호 68
 
6.2%
서 26
 
2.4%
Other values (102) 326
29.8%
Common
ValueCountFrequency (%)
345
44.9%
1 95
 
12.4%
2 55
 
7.2%
3 43
 
5.6%
4 39
 
5.1%
5 39
 
5.1%
6 38
 
4.9%
0 36
 
4.7%
7 31
 
4.0%
8 25
 
3.3%
Other values (4) 22
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1095
58.8%
ASCII 768
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
44.9%
1 95
 
12.4%
2 55
 
7.2%
3 43
 
5.6%
4 39
 
5.1%
5 39
 
5.1%
6 38
 
4.9%
0 36
 
4.7%
7 31
 
4.0%
8 25
 
3.3%
Other values (4) 22
 
2.9%
Hangul
ValueCountFrequency (%)
구 143
13.1%
동 87
 
7.9%
대 84
 
7.7%
시 73
 
6.7%
지 73
 
6.7%
광 72
 
6.6%
역 72
 
6.6%
번 71
 
6.5%
호 68
 
6.2%
서 26
 
2.4%
Other values (102) 326
29.8%

도로명전체주소
Text

MISSING 

Distinct77
Distinct (%)97.5%
Missing7
Missing (%)8.1%
Memory size820.0 B
2024-04-18T09:11:06.992473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length28.797468
Min length21

Characters and Unicode

Total characters2275
Distinct characters178
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

Unique75 ?
Unique (%)94.9%

Sample

1st row대구광역시 중구 공평로4길 24-7 (삼덕동2가)
2nd row대구광역시 중구 대봉로 243 (대봉동)
3rd row대구광역시 동구 공항로31길 9-6 (불로동)
4th row대구광역시 동구 아양로8길 10-1 (신암동)
5th row대구광역시 동구 첨단로 7, 신용보증기금본점 (신서동)
ValueCountFrequency (%)
대구광역시 78
 
17.3%
동구 16
 
3.6%
서구 16
 
3.6%
수성구 14
 
3.1%
남구 11
 
2.4%
달서구 8
 
1.8%
북구 8
 
1.8%
평리동 7
 
1.6%
동대구로 6
 
1.3%
4층 6
 
1.3%
Other values (207) 280
62.2%
2024-04-18T09:11:07.431139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
 
16.3%
구 177
 
7.8%
대 118
 
5.2%
동 114
 
5.0%
시 81
 
3.6%
광 79
 
3.5%
역 79
 
3.5%
로 78
 
3.4%
( 76
 
3.3%
) 76
 
3.3%
Other values (168) 1026
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1346
59.2%
Space Separator 371
 
16.3%
Decimal Number 345
 
15.2%
Open Punctuation 76
 
3.3%
Close Punctuation 76
 
3.3%
Other Punctuation 47
 
2.1%
Dash Punctuation 14
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 177
 
13.2%
대 118
 
8.8%
동 114
 
8.5%
시 81
 
6.0%
광 79
 
5.9%
역 79
 
5.9%
로 78
 
5.8%
성 37
 
2.7%
서 35
 
2.6%
길 32
 
2.4%
Other values (153) 516
38.3%
Decimal Number
ValueCountFrequency (%)
1 74
21.4%
2 51
14.8%
3 44
12.8%
4 36
10.4%
6 32
9.3%
0 31
9.0%
7 28
 
8.1%
5 21
 
6.1%
9 14
 
4.1%
8 14
 
4.1%
Space Separator
ValueCountFrequency (%)
371
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1346
59.2%
Common 929
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 177
 
13.2%
대 118
 
8.8%
동 114
 
8.5%
시 81
 
6.0%
광 79
 
5.9%
역 79
 
5.9%
로 78
 
5.8%
성 37
 
2.7%
서 35
 
2.6%
길 32
 
2.4%
Other values (153) 516
38.3%
Common
ValueCountFrequency (%)
371
39.9%
( 76
 
8.2%
) 76
 
8.2%
1 74
 
8.0%
2 51
 
5.5%
, 47
 
5.1%
3 44
 
4.7%
4 36
 
3.9%
6 32
 
3.4%
0 31
 
3.3%
Other values (5) 91
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1346
59.2%
ASCII 929
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
39.9%
( 76
 
8.2%
) 76
 
8.2%
1 74
 
8.0%
2 51
 
5.5%
, 47
 
5.1%
3 44
 
4.7%
4 36
 
3.9%
6 32
 
3.4%
0 31
 
3.3%
Other values (5) 91
 
9.8%
Hangul
ValueCountFrequency (%)
구 177
 
13.2%
대 118
 
8.8%
동 114
 
8.5%
시 81
 
6.0%
광 79
 
5.9%
역 79
 
5.9%
로 78
 
5.8%
성 37
 
2.7%
서 35
 
2.6%
길 32
 
2.4%
Other values (153) 516
38.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)96.0%
Missing36
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean359600.92
Minimum38453
Maximum706827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:07.565917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38453
5-th percentile41072.5
Q142054
median42977.5
Q3703560.75
95-th percentile706346.85
Maximum706827
Range668374
Interquartile range (IQR)661506.75

Descriptive statistics

Standard deviation333988.91
Coefficient of variation (CV)0.92877657
Kurtosis-2.0779115
Mean359600.92
Median Absolute Deviation (MAD)3220.5
Skewness0.082598537
Sum17980046
Variance1.1154859 × 1011
MonotonicityNot monotonic
2024-04-18T09:11:07.697814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
42429 2
 
2.3%
701730 2
 
2.3%
42033 1
 
1.2%
41534 1
 
1.2%
702100 1
 
1.2%
702837 1
 
1.2%
706764 1
 
1.2%
42117 1
 
1.2%
42149 1
 
1.2%
705837 1
 
1.2%
Other values (38) 38
44.2%
(Missing) 36
41.9%
ValueCountFrequency (%)
38453 1
1.2%
41061 1
1.2%
41068 1
1.2%
41078 1
1.2%
41207 1
1.2%
41534 1
1.2%
41580 1
1.2%
41765 1
1.2%
41766 1
1.2%
41773 1
1.2%
ValueCountFrequency (%)
706827 1
1.2%
706824 1
1.2%
706764 1
1.2%
705837 1
1.2%
705832 1
1.2%
705801 1
1.2%
704946 1
1.2%
704923 1
1.2%
704901 1
1.2%
704833 1
1.2%

사업장명
Text

Distinct84
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-04-18T09:11:07.937020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length14.988372
Min length4

Characters and Unicode

Total characters1289
Distinct characters168
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

Unique82 ?
Unique (%)95.3%

Sample

1st row대구중구시니어클럽
2nd row대구경북인쇄정보산업협동조합
3rd row대구광역시장애인재활협회
4th row동구노인종합복지관
5th row(사)한국여성인력개발원 동구여성문화공간 직업소개소
ValueCountFrequency (%)
무료직업소개소 18
 
14.0%
한국녹색환경협회 2
 
1.6%
대구테크노파크 2
 
1.6%
대구경북지역 2
 
1.6%
대구희망리본본부 2
 
1.6%
사단법인 2
 
1.6%
재)대구직업전문학교 2
 
1.6%
대구취업지원센터 2
 
1.6%
토목건축노동조합 2
 
1.6%
대구달서시니어클럽무료직업소개소 1
 
0.8%
Other values (94) 94
72.9%
2024-04-18T09:11:08.284423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 92
 
7.1%
업 68
 
5.3%
구 64
 
5.0%
대 52
 
4.0%
개 48
 
3.7%
직 45
 
3.5%
43
 
3.3%
무 39
 
3.0%
료 37
 
2.9%
지 34
 
2.6%
Other values (158) 767
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1198
92.9%
Space Separator 43
 
3.3%
Close Punctuation 20
 
1.6%
Open Punctuation 18
 
1.4%
Uppercase Letter 9
 
0.7%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 92
 
7.7%
업 68
 
5.7%
구 64
 
5.3%
대 52
 
4.3%
개 48
 
4.0%
직 45
 
3.8%
무 39
 
3.3%
료 37
 
3.1%
지 34
 
2.8%
터 29
 
2.4%
Other values (151) 690
57.6%
Uppercase Letter
ValueCountFrequency (%)
D 3
33.3%
R 3
33.3%
H 3
33.3%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1198
92.9%
Common 82
 
6.4%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 92
 
7.7%
업 68
 
5.7%
구 64
 
5.3%
대 52
 
4.3%
개 48
 
4.0%
직 45
 
3.8%
무 39
 
3.3%
료 37
 
3.1%
지 34
 
2.8%
터 29
 
2.4%
Other values (151) 690
57.6%
Common
ValueCountFrequency (%)
43
52.4%
) 20
24.4%
( 18
22.0%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
D 3
33.3%
R 3
33.3%
H 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1198
92.9%
ASCII 91
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 92
 
7.7%
업 68
 
5.7%
구 64
 
5.3%
대 52
 
4.3%
개 48
 
4.0%
직 45
 
3.8%
무 39
 
3.3%
료 37
 
3.1%
지 34
 
2.8%
터 29
 
2.4%
Other values (151) 690
57.6%
ASCII
ValueCountFrequency (%)
43
47.3%
) 20
22.0%
( 18
19.8%
D 3
 
3.3%
R 3
 
3.3%
H 3
 
3.3%
1 1
 
1.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0151525 × 1013
Minimum2.0041202 × 1013
Maximum2.0190524 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:08.420452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041202 × 1013
5-th percentile2.0092682 × 1013
Q12.0130309 × 1013
median2.0160566 × 1013
Q32.0180689 × 1013
95-th percentile2.0190414 × 1013
Maximum2.0190524 × 1013
Range1.4932202 × 1011
Interquartile range (IQR)5.0380457 × 1010

Descriptive statistics

Standard deviation3.5781189 × 1010
Coefficient of variation (CV)0.001775607
Kurtosis0.4719438
Mean2.0151525 × 1013
Median Absolute Deviation (MAD)2.06425 × 1010
Skewness-0.97370828
Sum1.7330311 × 1015
Variance1.2802935 × 1021
MonotonicityNot monotonic
2024-04-18T09:11:08.568830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151022091811 1
 
1.2%
20130121114122 1
 
1.2%
20190222085700 1
 
1.2%
20180129202952 1
 
1.2%
20180517115302 1
 
1.2%
20190524180552 1
 
1.2%
20190107180800 1
 
1.2%
20180328083616 1
 
1.2%
20160204101454 1
 
1.2%
20181211090532 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
20041202160424 1
1.2%
20060418113940 1
1.2%
20060926104055 1
1.2%
20061012152922 1
1.2%
20090203112122 1
1.2%
20100118102143 1
1.2%
20100315134850 1
1.2%
20100402085755 1
1.2%
20100721150816 1
1.2%
20101206173241 1
1.2%
ValueCountFrequency (%)
20190524180552 1
1.2%
20190522104746 1
1.2%
20190426175530 1
1.2%
20190418105335 1
1.2%
20190417170835 1
1.2%
20190404105848 1
1.2%
20190328175939 1
1.2%
20190222085700 1
1.2%
20190213125354 1
1.2%
20190117114323 1
1.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
I
67 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 67
77.9%
U 19
 
22.1%

Length

2024-04-18T09:11:08.695601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:08.783540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 67
77.9%
u 19
 
22.1%

데이터갱신일자
Date

Distinct21
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2018-08-31 23:59:59
Maximum2019-05-26 02:40:00
2024-04-18T09:11:08.870910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:11:08.988435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)90.5%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean343972.13
Minimum329454.22
Maximum366747.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:09.118269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum329454.22
5-th percentile334563.51
Q1340178.58
median344328.87
Q3346680.19
95-th percentile355862.05
Maximum366747.7
Range37293.488
Interquartile range (IQR)6501.6099

Descriptive statistics

Standard deviation5985.8732
Coefficient of variation (CV)0.017402204
Kurtosis2.1500866
Mean343972.13
Median Absolute Deviation (MAD)3398.0247
Skewness0.64884349
Sum28893659
Variance35830678
MonotonicityNot monotonic
2024-04-18T09:11:09.254924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337705.232586 2
 
2.3%
344332.554299 2
 
2.3%
340142.495318 2
 
2.3%
339384.623178 2
 
2.3%
336819.52894 2
 
2.3%
344046.261885 2
 
2.3%
346672.854539 2
 
2.3%
344989.451389 2
 
2.3%
342426.193827 1
 
1.2%
344468.477105 1
 
1.2%
Other values (66) 66
76.7%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
329454.216845 1
1.2%
331235.147561 1
1.2%
332592.498861 1
1.2%
333862.343439 1
1.2%
334303.395884 1
1.2%
336037.521032 1
1.2%
336405.598377 1
1.2%
336819.52894 2
2.3%
337705.232586 2
2.3%
338471.876999 1
1.2%
ValueCountFrequency (%)
366747.704560687 1
1.2%
356677.0 1
1.2%
356078.0 1
1.2%
356070.888605 1
1.2%
356001.144497932 1
1.2%
355073.826078 1
1.2%
354504.881098 1
1.2%
351075.382274 1
1.2%
350653.343026 1
1.2%
349673.153843 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)90.5%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean263466.98
Minimum248727.67
Maximum272229.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-18T09:11:09.419524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248727.67
5-th percentile259409.22
Q1262116.27
median263400.05
Q3265223.63
95-th percentile267996.85
Maximum272229.95
Range23502.28
Interquartile range (IQR)3107.3565

Descriptive statistics

Standard deviation3169.3006
Coefficient of variation (CV)0.012029214
Kurtosis5.7458288
Mean263466.98
Median Absolute Deviation (MAD)1657.3453
Skewness-1.2286655
Sum22131226
Variance10044466
MonotonicityNot monotonic
2024-04-18T09:11:09.611839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262521.308163 2
 
2.3%
265280.518596 2
 
2.3%
263121.400886 2
 
2.3%
263518.126678 2
 
2.3%
259409.219302 2
 
2.3%
261742.707245 2
 
2.3%
264843.003409 2
 
2.3%
267618.377001 2
 
2.3%
267685.117048 1
 
1.2%
265049.171279 1
 
1.2%
Other values (66) 66
76.7%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
248727.671723 1
1.2%
253850.09474 1
1.2%
257467.514119 1
1.2%
258325.049675 1
1.2%
259409.219302 2
2.3%
259688.94559 1
1.2%
260145.429824 1
1.2%
260166.238089 1
1.2%
261117.703694427 1
1.2%
261215.496084 1
1.2%
ValueCountFrequency (%)
272229.951945 1
1.2%
269105.367036386 1
1.2%
268745.606545 1
1.2%
268084.84261 1
1.2%
268051.856327 1
1.2%
267685.117048 1
1.2%
267618.377001 2
2.3%
266853.800698 1
1.2%
266511.759073 1
1.2%
266252.707106 1
1.2%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
법인
78 
개인
8 

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 78
90.7%
개인 8
 
9.3%

Length

2024-04-18T09:11:09.760438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:09.854375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 78
90.7%
개인 8
 
9.3%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
무료
86 

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 86
100.0%

Length

2024-04-18T09:11:09.960458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:11:10.050481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 86
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01무료직업소개소11_50_01_P3410000200834100711450000320080204<NA>1영업/정상20영업중<NA><NA><NA><NA>4221901<NA>700412대구광역시 중구 삼덕동2가 149번지 63호대구광역시 중구 공평로4길 24-7 (삼덕동2가)<NA>대구중구시니어클럽20151022091811I2018-08-31 23:59:59.0<NA>344551.468748263933.992285법인무료
12무료직업소개소11_50_01_P3410000201034100711450001120100721<NA>1영업/정상20영업중<NA><NA><NA><NA>053 424 0793<NA>700812대구광역시 중구 대봉2동 88번지 4호대구광역시 중구 대봉로 243 (대봉동)<NA>대구경북인쇄정보산업협동조합20100721150816I2018-08-31 23:59:59.0<NA>344507.804235263411.962963법인무료
23무료직업소개소11_50_01_P3410000200834100711450000620080407<NA>1영업/정상20영업중<NA><NA><NA><NA>2558166<NA>700444대구광역시 중구 남산동 2482번지<NA><NA>대구광역시장애인재활협회20101206173241I2018-08-31 23:59:59.0<NA><NA><NA>법인무료
34무료직업소개소11_50_01_P3420000201534201351450000220150202<NA>1영업/정상20영업중<NA><NA><NA><NA>053 983 9100<NA><NA><NA>대구광역시 동구 공항로31길 9-6 (불로동)701807동구노인종합복지관20150202171037I2018-08-31 23:59:59.0<NA>347076.910736268084.84261법인무료
45무료직업소개소11_50_01_P3420000201634201351450001120160511<NA>1영업/정상20영업중<NA><NA><NA><NA>053 242 1331<NA><NA><NA>대구광역시 동구 아양로8길 10-1 (신암동)41207(사)한국여성인력개발원 동구여성문화공간 직업소개소20190110175833U2019-01-12 02:40:00.0<NA>346114.989173265743.010783법인무료
56무료직업소개소11_50_01_P3420000201834201351450001120180517<NA>1영업/정상20영업중<NA><NA><NA><NA>053 430 4689<NA><NA><NA>대구광역시 동구 첨단로 7, 신용보증기금본점 (신서동)41068신용보증기금20180712093615I2018-08-31 23:59:59.0<NA>356078.0265491.0법인무료
67무료직업소개소11_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
78무료직업소개소11_50_01_P3420000201834201351450001720151231<NA>1영업/정상20영업중<NA><NA><NA><NA>053 8110127<NA><NA>대구광역시 동구 동호동 107번지 5호대구광역시 동구 경안로 728, 4층 (동호동)41078한국녹색환경협회20180921183609U2018-09-21 23:59:59.0<NA>344989.451389267618.377001법인무료
89무료직업소개소11_50_01_P3420000200134200581120000120010618<NA>3폐업40폐업20130305<NA><NA><NA>053 9540170<NA>701010대구광역시 동구 신암동 산 26번지대구광역시 동구 동북로71길 33 (신암동)<NA>대구지체장애인협회무료직업소개소20130305153056I2018-08-31 23:59:59.0<NA>347190.912891266853.800698법인무료
910무료직업소개소11_50_01_P3420000200134200581120000220010924<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 지묘동 360호 태왕그린힐즈 103 503대구광역시 동구 파계로 46, 103동 503호 (지묘동,태왕그린힐즈)<NA>동구무료직업소개소20060926104055I2018-08-31 23:59:59.0<NA>347841.699671272229.951945법인무료
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
7677무료직업소개소11_50_01_P3470000200634701001120000120061226<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 1971번지 7호 20통 6반<NA><NA>밀알무료직업소개소20120229160335I2018-08-31 23:59:59.0<NA><NA><NA>법인무료
7778무료직업소개소11_50_01_P3470000200934701171450001120090811<NA>3폐업40폐업20160428<NA><NA><NA><NA><NA>704310대구광역시 달서구 대곡동 7번지 4호<NA><NA>한국사랑무료직업소개소20160428101943I2018-08-31 23:59:59.0<NA>336405.598377257467.514119법인무료
7879무료직업소개소11_50_01_P3470000199134700751120000119910809<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 갈산동 123번지 4호대구광역시 달서구 성서공단북로 308 (갈산동)42704대구성서산업단지관리공단 무료직업소개소20180104160540I2018-08-31 23:59:59.0<NA>336037.521032261444.906648법인무료
7980무료직업소개소11_50_01_P3470000200934701171450000620080131<NA>1영업/정상20영업중<NA><NA><NA><NA>053 356 0464<NA>704953대구광역시 달서구 감삼동 105번지 1호<NA><NA>새터민 취업지원센터 무료직업소개소20120906093014I2018-08-31 23:59:59.0<NA>339717.035619262613.917492법인무료
8081무료직업소개소11_50_01_P3470000200334701171450000120100412<NA>1영업/정상20영업중<NA><NA><NA><NA>053 527 0223<NA><NA>대구광역시 달서구 용산동 230번지 17호 25통 1반 우방미진하이츠 105동 1702호대구광역시 달서구 달구벌대로291길 100 (용산동, 대구광역시달구벌종합복지관)42635대구광역시달구벌종합복지관무료직업소개소20161202113003I2018-08-31 23:59:59.0<NA>337705.232586262521.308163개인무료
8182무료직업소개소11_50_01_P3470000200734701171120000120070420<NA>3폐업40폐업20100401<NA><NA><NA><NA><NA><NA>대구광역시 서구 내당동 466번지 20호<NA><NA>노숙인쉼터근로자의집20100402085755I2018-08-31 23:59:59.0<NA>340250.954885263158.357958법인무료
8283무료직업소개소11_50_01_P3470000200534700751120000120051205<NA>3폐업40폐업20180502<NA><NA><NA><NA><NA><NA>경상북도 경산시 정평동 162번지 6 호 한솔1차101/1108호<NA><NA>대구달서시니어클럽무료직업소개소20180502141051I2018-08-31 23:59:59.0<NA>356001.144498261117.703694개인무료
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