Overview

Dataset statistics

Number of variables33
Number of observations9665
Missing cells92006
Missing cells (%)28.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory283.0 B

Variable types

Numeric13
Categorical9
Text6
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_09_30_13_P_쓰레기종량제봉투판매업_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000048495&dataSetDetailId=DDI_0000048581&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
항목값1 has constant value ""Constant
영업상태구분코드 is highly imbalanced (55.7%)Imbalance
영업상태명 is highly imbalanced (55.7%)Imbalance
상세영업상태명 is highly imbalanced (65.5%)Imbalance
휴업종료일자 is highly imbalanced (99.8%)Imbalance
데이터갱신구분 is highly imbalanced (79.8%)Imbalance
인허가일자 has 2744 (28.4%) missing valuesMissing
인허가취소일자 has 9665 (100.0%) missing valuesMissing
폐업일자 has 6895 (71.3%) missing valuesMissing
휴업시작일자 has 7258 (75.1%) missing valuesMissing
재개업일자 has 9665 (100.0%) missing valuesMissing
소재지전화 has 3704 (38.3%) missing valuesMissing
소재지면적 has 9665 (100.0%) missing valuesMissing
소재지우편번호 has 1151 (11.9%) missing valuesMissing
소재지전체주소 has 337 (3.5%) missing valuesMissing
도로명전체주소 has 4675 (48.4%) missing valuesMissing
도로명우편번호 has 6046 (62.6%) missing valuesMissing
업태구분명 has 9665 (100.0%) missing valuesMissing
좌표정보(X) has 3870 (40.0%) missing valuesMissing
좌표정보(Y) has 3870 (40.0%) missing valuesMissing
소재지 has 2836 (29.3%) missing valuesMissing
지정일자 has 6113 (63.2%) missing valuesMissing
신청일자 has 3847 (39.8%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -60.77437553)Skewed
신청일자 is highly skewed (γ1 = -42.67285126)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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 started2024-04-17 21:07:48.663874
Analysis finished2024-04-17 21:07:50.269165
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9665
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4833
Minimum1
Maximum9665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:50.327806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile484.2
Q12417
median4833
Q37249
95-th percentile9181.8
Maximum9665
Range9664
Interquartile range (IQR)4832

Descriptive statistics

Standard deviation2790.1895
Coefficient of variation (CV)0.5773204
Kurtosis-1.2
Mean4833
Median Absolute Deviation (MAD)2416
Skewness0
Sum46710945
Variance7785157.5
MonotonicityStrictly increasing
2024-04-18T06:07:50.432275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6439 1
 
< 0.1%
6441 1
 
< 0.1%
6442 1
 
< 0.1%
6443 1
 
< 0.1%
6444 1
 
< 0.1%
6445 1
 
< 0.1%
6446 1
 
< 0.1%
6447 1
 
< 0.1%
6448 1
 
< 0.1%
Other values (9655) 9655
99.9%
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 (%)
9665 1
< 0.1%
9664 1
< 0.1%
9663 1
< 0.1%
9662 1
< 0.1%
9661 1
< 0.1%
9660 1
< 0.1%
9659 1
< 0.1%
9658 1
< 0.1%
9657 1
< 0.1%
9656 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
쓰레기종량제봉투판매업
9665 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쓰레기종량제봉투판매업 9665
100.0%

Length

2024-04-18T06:07:50.529532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:50.596086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 9665
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
09_30_13_P
9665 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_13_P
2nd row09_30_13_P
3rd row09_30_13_P
4th row09_30_13_P
5th row09_30_13_P

Common Values

ValueCountFrequency (%)
09_30_13_P 9665
100.0%

Length

2024-04-18T06:07:50.676754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:50.764115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 9665
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3447957.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:50.844095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21526.692
Coefficient of variation (CV)0.0062433168
Kurtosis-1.3492335
Mean3447957.6
Median Absolute Deviation (MAD)20000
Skewness-0.32140676
Sum3.332451 × 1010
Variance4.6339845 × 108
MonotonicityIncreasing
2024-04-18T06:07:50.956043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 2900
30.0%
3420000 1622
16.8%
3450000 1304
13.5%
3460000 1275
13.2%
3430000 1149
 
11.9%
3410000 602
 
6.2%
3440000 479
 
5.0%
3480000 334
 
3.5%
ValueCountFrequency (%)
3410000 602
 
6.2%
3420000 1622
16.8%
3430000 1149
 
11.9%
3440000 479
 
5.0%
3450000 1304
13.5%
3460000 1275
13.2%
3470000 2900
30.0%
3480000 334
 
3.5%
ValueCountFrequency (%)
3480000 334
 
3.5%
3470000 2900
30.0%
3460000 1275
13.2%
3450000 1304
13.5%
3440000 479
 
5.0%
3430000 1149
 
11.9%
3420000 1622
16.8%
3410000 602
 
6.2%

관리번호
Text

UNIQUE 

Distinct9665
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
2024-04-18T06:07:51.148407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters173970
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

Unique9665 ?
Unique (%)100.0%

Sample

1st row341000014200000815
2nd row341000014200001113
3rd row341000014200001114
4th row341000014200001106
5th row341000014200001105
ValueCountFrequency (%)
341000014200000815 1
 
< 0.1%
347000014201800077 1
 
< 0.1%
347000014201800079 1
 
< 0.1%
347000014201800080 1
 
< 0.1%
347000014201800083 1
 
< 0.1%
347000014201800084 1
 
< 0.1%
347000014201800085 1
 
< 0.1%
347000014201800086 1
 
< 0.1%
347000014201800087 1
 
< 0.1%
347000014201800088 1
 
< 0.1%
Other values (9655) 9655
99.9%
2024-04-18T06:07:51.404848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80313
46.2%
4 23764
 
13.7%
1 19621
 
11.3%
2 16620
 
9.6%
3 14498
 
8.3%
7 5382
 
3.1%
5 4534
 
2.6%
6 4074
 
2.3%
9 2615
 
1.5%
8 2547
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 173968
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80313
46.2%
4 23764
 
13.7%
1 19621
 
11.3%
2 16620
 
9.6%
3 14498
 
8.3%
7 5382
 
3.1%
5 4534
 
2.6%
6 4074
 
2.3%
9 2615
 
1.5%
8 2547
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 173970
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80313
46.2%
4 23764
 
13.7%
1 19621
 
11.3%
2 16620
 
9.6%
3 14498
 
8.3%
7 5382
 
3.1%
5 4534
 
2.6%
6 4074
 
2.3%
9 2615
 
1.5%
8 2547
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80313
46.2%
4 23764
 
13.7%
1 19621
 
11.3%
2 16620
 
9.6%
3 14498
 
8.3%
7 5382
 
3.1%
5 4534
 
2.6%
6 4074
 
2.3%
9 2615
 
1.5%
8 2547
 
1.5%

인허가일자
Real number (ℝ)

MISSING 

Distinct2912
Distinct (%)42.1%
Missing2744
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean20070989
Minimum19940104
Maximum20190626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:51.521641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940104
5-th percentile19950104
Q120021108
median20070522
Q320120110
95-th percentile20170926
Maximum20190626
Range250522
Interquartile range (IQR)99002

Descriptive statistics

Standard deviation65594.63
Coefficient of variation (CV)0.0032681314
Kurtosis-0.78800367
Mean20070989
Median Absolute Deviation (MAD)49587
Skewness-0.19813568
Sum1.3891132 × 1011
Variance4.3026555 × 109
MonotonicityNot monotonic
2024-04-18T06:07:51.632043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120105 176
 
1.8%
19950103 130
 
1.3%
19950104 129
 
1.3%
20120106 124
 
1.3%
20120102 118
 
1.2%
20120214 97
 
1.0%
20120108 93
 
1.0%
19950105 73
 
0.8%
20081231 70
 
0.7%
20120104 40
 
0.4%
Other values (2902) 5871
60.7%
(Missing) 2744
28.4%
ValueCountFrequency (%)
19940104 3
 
< 0.1%
19940801 7
 
0.1%
19941001 2
 
< 0.1%
19941111 1
 
< 0.1%
19941118 3
 
< 0.1%
19941120 4
 
< 0.1%
19941124 6
 
0.1%
19941126 9
 
0.1%
19941130 16
0.2%
19941201 26
0.3%
ValueCountFrequency (%)
20190626 3
< 0.1%
20190625 2
< 0.1%
20190624 1
 
< 0.1%
20190620 2
< 0.1%
20190617 1
 
< 0.1%
20190614 1
 
< 0.1%
20190612 1
 
< 0.1%
20190607 1
 
< 0.1%
20190605 1
 
< 0.1%
20190604 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9665
Missing (%)100.0%
Memory size85.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
1
6893 
3
2749 
4
 
21
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6893
71.3%
3 2749
 
28.4%
4 21
 
0.2%
2 2
 
< 0.1%

Length

2024-04-18T06:07:51.752544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:51.845134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6893
71.3%
3 2749
 
28.4%
4 21
 
0.2%
2 2
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
영업/정상
6893 
폐업
2749 
취소/말소/만료/정지/중지
 
21
휴업
 
2

Length

Max length14
Median length5
Mean length4.1656492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 6893
71.3%
폐업 2749
 
28.4%
취소/말소/만료/정지/중지 21
 
0.2%
휴업 2
 
< 0.1%

Length

2024-04-18T06:07:51.929051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:52.005537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6893
71.3%
폐업 2749
 
28.4%
취소/말소/만료/정지/중지 21
 
0.2%
휴업 2
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4177962
Minimum0
Maximum11
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:52.074297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median11
Q311
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.0682421
Coefficient of variation (CV)0.48329064
Kurtosis-1.1107149
Mean8.4177962
Median Absolute Deviation (MAD)0
Skewness-0.94196064
Sum81358
Variance16.550594
MonotonicityNot monotonic
2024-04-18T06:07:52.159822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
11 6888
71.3%
2 2749
 
28.4%
4 21
 
0.2%
0 3
 
< 0.1%
1 2
 
< 0.1%
3 2
 
< 0.1%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 2
 
< 0.1%
2 2749
 
28.4%
3 2
 
< 0.1%
4 21
 
0.2%
11 6888
71.3%
ValueCountFrequency (%)
11 6888
71.3%
4 21
 
0.2%
3 2
 
< 0.1%
2 2749
 
28.4%
1 2
 
< 0.1%
0 3
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
영업
6888 
폐업
2749 
폐쇄
 
21
<NA>
 
3
휴업
 
2

Length

Max length4
Median length2
Mean length2.0008277
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 6888
71.3%
폐업 2749
 
28.4%
폐쇄 21
 
0.2%
<NA> 3
 
< 0.1%
휴업 2
 
< 0.1%
재개업 2
 
< 0.1%

Length

2024-04-18T06:07:52.257287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:52.344374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 6888
71.3%
폐업 2749
 
28.4%
폐쇄 21
 
0.2%
na 3
 
< 0.1%
휴업 2
 
< 0.1%
재개업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1088
Distinct (%)39.3%
Missing6895
Missing (%)71.3%
Infinite0
Infinite (%)0.0%
Mean20119292
Minimum20000805
Maximum20190626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:52.437527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000805
5-th percentile20020409
Q120100220
median20131202
Q320150615
95-th percentile20190102
Maximum20190626
Range189821
Interquartile range (IQR)50395

Descriptive statistics

Standard deviation46559.968
Coefficient of variation (CV)0.0023141951
Kurtosis0.19737179
Mean20119292
Median Absolute Deviation (MAD)20097.5
Skewness-0.88662123
Sum5.573044 × 1010
Variance2.1678306 × 109
MonotonicityNot monotonic
2024-04-18T06:07:52.552793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131202 386
 
4.0%
20121231 137
 
1.4%
20090828 98
 
1.0%
20020409 97
 
1.0%
20190326 86
 
0.9%
20151231 67
 
0.7%
20131231 50
 
0.5%
20020321 29
 
0.3%
20081231 24
 
0.2%
20130102 23
 
0.2%
Other values (1078) 1773
 
18.3%
(Missing) 6895
71.3%
ValueCountFrequency (%)
20000805 1
< 0.1%
20000928 1
< 0.1%
20001104 1
< 0.1%
20001130 1
< 0.1%
20001220 1
< 0.1%
20001224 1
< 0.1%
20001231 1
< 0.1%
20010220 1
< 0.1%
20010418 2
< 0.1%
20010427 1
< 0.1%
ValueCountFrequency (%)
20190626 1
< 0.1%
20190625 2
< 0.1%
20190624 1
< 0.1%
20190613 2
< 0.1%
20190610 1
< 0.1%
20190607 1
< 0.1%
20190604 1
< 0.1%
20190603 2
< 0.1%
20190524 1
< 0.1%
20190523 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct952
Distinct (%)39.6%
Missing7258
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean20133840
Minimum20001231
Maximum20190626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:52.675505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001231
5-th percentile20081223
Q120120604
median20131202
Q320151226
95-th percentile20190219
Maximum20190626
Range189395
Interquartile range (IQR)30621.5

Descriptive statistics

Standard deviation29476.404
Coefficient of variation (CV)0.001464023
Kurtosis-0.18577396
Mean20133840
Median Absolute Deviation (MAD)19424
Skewness-0.10169118
Sum4.8462153 × 1010
Variance8.6885839 × 108
MonotonicityNot monotonic
2024-04-18T06:07:52.788291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131202 386
 
4.0%
20121231 136
 
1.4%
20090828 99
 
1.0%
20190326 86
 
0.9%
20151231 67
 
0.7%
20131231 50
 
0.5%
20081231 24
 
0.2%
20130102 23
 
0.2%
20140512 22
 
0.2%
20140527 22
 
0.2%
Other values (942) 1492
 
15.4%
(Missing) 7258
75.1%
ValueCountFrequency (%)
20001231 1
< 0.1%
20050628 1
< 0.1%
20060823 1
< 0.1%
20061002 1
< 0.1%
20061013 2
< 0.1%
20061031 1
< 0.1%
20061102 1
< 0.1%
20061109 1
< 0.1%
20061113 1
< 0.1%
20061128 1
< 0.1%
ValueCountFrequency (%)
20190626 1
 
< 0.1%
20190625 2
< 0.1%
20190624 1
 
< 0.1%
20190613 2
< 0.1%
20190610 1
 
< 0.1%
20190607 1
 
< 0.1%
20190603 3
< 0.1%
20190524 1
 
< 0.1%
20190523 2
< 0.1%
20190521 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
<NA>
9663 
20170101
 
1
20160701
 
1

Length

Max length8
Median length4
Mean length4.0008277
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9663
> 99.9%
20170101 1
 
< 0.1%
20160701 1
 
< 0.1%

Length

2024-04-18T06:07:53.224278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:53.322092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9663
> 99.9%
20170101 1
 
< 0.1%
20160701 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9665
Missing (%)100.0%
Memory size85.1 KiB

소재지전화
Text

MISSING 

Distinct5583
Distinct (%)93.7%
Missing3704
Missing (%)38.3%
Memory size75.6 KiB
2024-04-18T06:07:53.520627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8451602
Min length3

Characters and Unicode

Total characters58687
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5255 ?
Unique (%)88.2%

Sample

1st row053 256 7567
2nd row053 422 1252
3rd row053 254 9879
4th row053 254 9039
5th row053 2562969
ValueCountFrequency (%)
053 1863
 
21.0%
472 38
 
0.4%
471 35
 
0.4%
473 33
 
0.4%
624 32
 
0.4%
627 28
 
0.3%
622 27
 
0.3%
621 24
 
0.3%
652 23
 
0.3%
628 23
 
0.3%
Other values (5680) 6728
76.0%
2024-04-18T06:07:53.851657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10791
18.4%
3 9025
15.4%
0 7456
12.7%
6 5248
8.9%
2 4737
8.1%
9 3722
 
6.3%
1 3656
 
6.2%
4 3529
 
6.0%
8 3510
 
6.0%
7 3340
 
5.7%
Other values (4) 3673
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 55014
93.7%
Space Separator 2987
 
5.1%
Dash Punctuation 683
 
1.2%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10791
19.6%
3 9025
16.4%
0 7456
13.6%
6 5248
9.5%
2 4737
8.6%
9 3722
 
6.8%
1 3656
 
6.6%
4 3529
 
6.4%
8 3510
 
6.4%
7 3340
 
6.1%
Space Separator
ValueCountFrequency (%)
2987
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 683
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58687
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10791
18.4%
3 9025
15.4%
0 7456
12.7%
6 5248
8.9%
2 4737
8.1%
9 3722
 
6.3%
1 3656
 
6.2%
4 3529
 
6.0%
8 3510
 
6.0%
7 3340
 
5.7%
Other values (4) 3673
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10791
18.4%
3 9025
15.4%
0 7456
12.7%
6 5248
8.9%
2 4737
8.1%
9 3722
 
6.3%
1 3656
 
6.2%
4 3529
 
6.0%
8 3510
 
6.0%
7 3340
 
5.7%
Other values (4) 3673
 
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9665
Missing (%)100.0%
Memory size85.1 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct800
Distinct (%)9.4%
Missing1151
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean703766.28
Minimum3
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:53.969795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile700815
Q1702415
median704120
Q3704953
95-th percentile706836
Maximum711873
Range711870
Interquartile range (IQR)2538

Descriptive statistics

Standard deviation10005.698
Coefficient of variation (CV)0.014217359
Kurtosis3976.1746
Mean703766.28
Median Absolute Deviation (MAD)1273
Skewness-60.774376
Sum5.9918661 × 109
Variance1.0011399 × 108
MonotonicityNot monotonic
2024-04-18T06:07:54.078053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706010 193
 
2.0%
706020 129
 
1.3%
706090 102
 
1.1%
701120 92
 
1.0%
703014 86
 
0.9%
701011 76
 
0.8%
703042 74
 
0.8%
706040 74
 
0.8%
701031 74
 
0.8%
703013 70
 
0.7%
Other values (790) 7544
78.1%
(Missing) 1151
 
11.9%
ValueCountFrequency (%)
3 1
 
< 0.1%
150095 1
 
< 0.1%
700010 8
 
0.1%
700020 3
 
< 0.1%
700030 2
 
< 0.1%
700050 3
 
< 0.1%
700060 4
 
< 0.1%
700070 6
 
0.1%
700081 61
0.6%
700082 1
 
< 0.1%
ValueCountFrequency (%)
711873 1
 
< 0.1%
711870 44
0.5%
711863 1
 
< 0.1%
711860 16
 
0.2%
711855 53
0.5%
711854 2
 
< 0.1%
711852 1
 
< 0.1%
711850 20
 
0.2%
711845 2
 
< 0.1%
711840 54
0.6%

소재지전체주소
Text

MISSING 

Distinct7568
Distinct (%)81.1%
Missing337
Missing (%)3.5%
Memory size75.6 KiB
2024-04-18T06:07:54.369732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length23.494211
Min length13

Characters and Unicode

Total characters219154
Distinct characters369
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6345 ?
Unique (%)68.0%

Sample

1st row대구광역시 중구 남산동 940-13번지
2nd row대구광역시 중구 대봉동 186-1번지
3rd row대구광역시 중구 대봉동 18-4번지
4th row대구광역시 중구 대봉동 55-95번지
5th row대구광역시 중구 대봉동 111-1번지
ValueCountFrequency (%)
대구광역시 9325
22.5%
달서구 2758
 
6.6%
번지 1925
 
4.6%
동구 1535
 
3.7%
수성구 1277
 
3.1%
북구 1172
 
2.8%
서구 1154
 
2.8%
중구 601
 
1.4%
남구 484
 
1.2%
평리동 388
 
0.9%
Other values (7569) 20900
50.3%
2024-04-18T06:07:54.772604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43920
20.0%
구 18436
 
8.4%
동 11083
 
5.1%
1 10437
 
4.8%
대 10054
 
4.6%
지 9686
 
4.4%
시 9411
 
4.3%
광 9345
 
4.3%
역 9337
 
4.3%
번 9250
 
4.2%
Other values (359) 78195
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123867
56.5%
Space Separator 43920
 
20.0%
Decimal Number 43711
 
19.9%
Dash Punctuation 7518
 
3.4%
Other Punctuation 70
 
< 0.1%
Uppercase Letter 46
 
< 0.1%
Math Symbol 8
 
< 0.1%
Lowercase Letter 7
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18436
14.9%
동 11083
 
8.9%
대 10054
 
8.1%
지 9686
 
7.8%
시 9411
 
7.6%
광 9345
 
7.5%
역 9337
 
7.5%
번 9250
 
7.5%
서 4151
 
3.4%
달 3132
 
2.5%
Other values (323) 29982
24.2%
Uppercase Letter
ValueCountFrequency (%)
B 17
37.0%
L 6
 
13.0%
A 6
 
13.0%
C 4
 
8.7%
S 4
 
8.7%
E 2
 
4.3%
H 2
 
4.3%
W 1
 
2.2%
K 1
 
2.2%
M 1
 
2.2%
Other values (2) 2
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 10437
23.9%
2 5368
12.3%
3 4371
10.0%
4 3938
 
9.0%
0 3935
 
9.0%
5 3507
 
8.0%
6 3197
 
7.3%
7 3135
 
7.2%
9 2912
 
6.7%
8 2911
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 38
54.3%
/ 18
25.7%
@ 7
 
10.0%
. 7
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
57.1%
c 1
 
14.3%
h 1
 
14.3%
b 1
 
14.3%
Space Separator
ValueCountFrequency (%)
43920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7518
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123867
56.5%
Common 95234
43.5%
Latin 53
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18436
14.9%
동 11083
 
8.9%
대 10054
 
8.1%
지 9686
 
7.8%
시 9411
 
7.6%
광 9345
 
7.5%
역 9337
 
7.5%
번 9250
 
7.5%
서 4151
 
3.4%
달 3132
 
2.5%
Other values (323) 29982
24.2%
Common
ValueCountFrequency (%)
43920
46.1%
1 10437
 
11.0%
- 7518
 
7.9%
2 5368
 
5.6%
3 4371
 
4.6%
4 3938
 
4.1%
0 3935
 
4.1%
5 3507
 
3.7%
6 3197
 
3.4%
7 3135
 
3.3%
Other values (10) 5908
 
6.2%
Latin
ValueCountFrequency (%)
B 17
32.1%
L 6
 
11.3%
A 6
 
11.3%
e 4
 
7.5%
C 4
 
7.5%
S 4
 
7.5%
E 2
 
3.8%
H 2
 
3.8%
W 1
 
1.9%
K 1
 
1.9%
Other values (6) 6
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123867
56.5%
ASCII 95287
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43920
46.1%
1 10437
 
11.0%
- 7518
 
7.9%
2 5368
 
5.6%
3 4371
 
4.6%
4 3938
 
4.1%
0 3935
 
4.1%
5 3507
 
3.7%
6 3197
 
3.4%
7 3135
 
3.3%
Other values (26) 5961
 
6.3%
Hangul
ValueCountFrequency (%)
구 18436
14.9%
동 11083
 
8.9%
대 10054
 
8.1%
지 9686
 
7.8%
시 9411
 
7.6%
광 9345
 
7.5%
역 9337
 
7.5%
번 9250
 
7.5%
서 4151
 
3.4%
달 3132
 
2.5%
Other values (323) 29982
24.2%

도로명전체주소
Text

MISSING 

Distinct4057
Distinct (%)81.3%
Missing4675
Missing (%)48.4%
Memory size75.6 KiB
2024-04-18T06:07:55.088372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length54
Mean length26.692786
Min length16

Characters and Unicode

Total characters133197
Distinct characters394
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

Unique3367 ?
Unique (%)67.5%

Sample

1st row대구광역시 중구 관덕정길 21 (남산동)
2nd row대구광역시 중구 동덕로 6 (대봉동)
3rd row대구광역시 중구 동덕로14길 29 (대봉동)
4th row대구광역시 중구 대봉로 236 (대봉동)
5th row대구광역시 중구 동덕로 33 (대봉동)
ValueCountFrequency (%)
대구광역시 4987
 
18.6%
달서구 1908
 
7.1%
북구 1256
 
4.7%
동구 586
 
2.2%
서구 382
 
1.4%
중구 369
 
1.4%
수성구 270
 
1.0%
1층 221
 
0.8%
송현동 199
 
0.7%
상인동 191
 
0.7%
Other values (3258) 16429
61.3%
2024-04-18T06:07:55.511165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22954
17.2%
구 10436
 
7.8%
동 6655
 
5.0%
대 6113
 
4.6%
시 5062
 
3.8%
역 5008
 
3.8%
광 5000
 
3.8%
) 4892
 
3.7%
( 4891
 
3.7%
1 4853
 
3.6%
Other values (384) 57333
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78594
59.0%
Space Separator 22954
 
17.2%
Decimal Number 19740
 
14.8%
Close Punctuation 4892
 
3.7%
Open Punctuation 4891
 
3.7%
Other Punctuation 1418
 
1.1%
Dash Punctuation 632
 
0.5%
Uppercase Letter 40
 
< 0.1%
Math Symbol 23
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 10436
 
13.3%
동 6655
 
8.5%
대 6113
 
7.8%
시 5062
 
6.4%
역 5008
 
6.4%
광 5000
 
6.4%
로 4845
 
6.2%
서 2911
 
3.7%
길 2593
 
3.3%
달 2420
 
3.1%
Other values (345) 27551
35.1%
Uppercase Letter
ValueCountFrequency (%)
B 15
37.5%
A 9
22.5%
S 3
 
7.5%
D 2
 
5.0%
H 2
 
5.0%
K 2
 
5.0%
C 2
 
5.0%
M 2
 
5.0%
L 1
 
2.5%
J 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 4853
24.6%
2 2817
14.3%
3 2249
11.4%
0 1871
 
9.5%
4 1668
 
8.4%
5 1580
 
8.0%
6 1338
 
6.8%
7 1294
 
6.6%
9 1047
 
5.3%
8 1023
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
46.2%
h 1
 
7.7%
o 1
 
7.7%
m 1
 
7.7%
s 1
 
7.7%
u 1
 
7.7%
l 1
 
7.7%
p 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 1406
99.2%
/ 5
 
0.4%
. 3
 
0.2%
@ 2
 
0.1%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
22954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4892
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4891
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 632
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78594
59.0%
Common 54550
41.0%
Latin 53
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 10436
 
13.3%
동 6655
 
8.5%
대 6113
 
7.8%
시 5062
 
6.4%
역 5008
 
6.4%
광 5000
 
6.4%
로 4845
 
6.2%
서 2911
 
3.7%
길 2593
 
3.3%
달 2420
 
3.1%
Other values (345) 27551
35.1%
Common
ValueCountFrequency (%)
22954
42.1%
) 4892
 
9.0%
( 4891
 
9.0%
1 4853
 
8.9%
2 2817
 
5.2%
3 2249
 
4.1%
0 1871
 
3.4%
4 1668
 
3.1%
5 1580
 
2.9%
, 1406
 
2.6%
Other values (10) 5369
 
9.8%
Latin
ValueCountFrequency (%)
B 15
28.3%
A 9
17.0%
e 6
 
11.3%
S 3
 
5.7%
D 2
 
3.8%
H 2
 
3.8%
K 2
 
3.8%
C 2
 
3.8%
M 2
 
3.8%
h 1
 
1.9%
Other values (9) 9
17.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78594
59.0%
ASCII 54601
41.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22954
42.0%
) 4892
 
9.0%
( 4891
 
9.0%
1 4853
 
8.9%
2 2817
 
5.2%
3 2249
 
4.1%
0 1871
 
3.4%
4 1668
 
3.1%
5 1580
 
2.9%
, 1406
 
2.6%
Other values (28) 5420
 
9.9%
Hangul
ValueCountFrequency (%)
구 10436
 
13.3%
동 6655
 
8.5%
대 6113
 
7.8%
시 5062
 
6.4%
역 5008
 
6.4%
광 5000
 
6.4%
로 4845
 
6.2%
서 2911
 
3.7%
길 2593
 
3.3%
달 2420
 
3.1%
Other values (345) 27551
35.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct878
Distinct (%)24.3%
Missing6046
Missing (%)62.6%
Infinite0
Infinite (%)0.0%
Mean546752.43
Minimum39037
Maximum711833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:55.641139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39037
5-th percentile41536
Q1700160
median702841
Q3704821
95-th percentile704936
Maximum711833
Range672796
Interquartile range (IQR)4661

Descriptive statistics

Standard deviation281248.59
Coefficient of variation (CV)0.51439843
Kurtosis-0.47034459
Mean546752.43
Median Absolute Deviation (MAD)1996
Skewness-1.2368443
Sum1.978697 × 109
Variance7.9100772 × 1010
MonotonicityNot monotonic
2024-04-18T06:07:55.773064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702886 41
 
0.4%
704914 30
 
0.3%
704915 30
 
0.3%
704827 29
 
0.3%
704834 29
 
0.3%
704910 29
 
0.3%
704837 25
 
0.3%
702894 25
 
0.3%
704817 24
 
0.2%
702863 24
 
0.2%
Other values (868) 3333
34.5%
(Missing) 6046
62.6%
ValueCountFrequency (%)
39037 1
 
< 0.1%
39852 1
 
< 0.1%
41156 2
< 0.1%
41192 1
 
< 0.1%
41400 2
< 0.1%
41401 1
 
< 0.1%
41402 2
< 0.1%
41403 1
 
< 0.1%
41405 1
 
< 0.1%
41407 3
< 0.1%
ValueCountFrequency (%)
711833 3
< 0.1%
711831 5
0.1%
705837 1
 
< 0.1%
705834 1
 
< 0.1%
705824 1
 
< 0.1%
705812 1
 
< 0.1%
705810 1
 
< 0.1%
705803 2
 
< 0.1%
705782 1
 
< 0.1%
705764 1
 
< 0.1%

사업장명
Text

Distinct6355
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
2024-04-18T06:07:56.062553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.0998448
Min length2

Characters and Unicode

Total characters58955
Distinct characters627
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5251 ?
Unique (%)54.3%

Sample

1st row남산슈퍼
2nd row유성주유소
3rd row은진슈퍼
4th row대구코아
5th row청운슈퍼
ValueCountFrequency (%)
신우유통 226
 
2.0%
gs25 167
 
1.5%
씨유 145
 
1.3%
세븐일레븐 130
 
1.2%
홈마트 127
 
1.1%
훼미리마트 73
 
0.7%
대백마트 69
 
0.6%
코사마트 66
 
0.6%
원마트 59
 
0.5%
주)코리아세븐 52
 
0.5%
Other values (6179) 10106
90.1%
2024-04-18T06:07:56.451976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 3338
 
5.7%
트 3319
 
5.6%
점 2532
 
4.3%
퍼 2395
 
4.1%
슈 1820
 
3.1%
대 1704
 
2.9%
1562
 
2.6%
유 1317
 
2.2%
구 1081
 
1.8%
통 1017
 
1.7%
Other values (617) 38870
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52452
89.0%
Decimal Number 1794
 
3.0%
Space Separator 1562
 
2.6%
Uppercase Letter 1460
 
2.5%
Open Punctuation 630
 
1.1%
Close Punctuation 630
 
1.1%
Lowercase Letter 197
 
0.3%
Other Punctuation 171
 
0.3%
Dash Punctuation 37
 
0.1%
Other Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 3338
 
6.4%
트 3319
 
6.3%
점 2532
 
4.8%
퍼 2395
 
4.6%
슈 1820
 
3.5%
대 1704
 
3.2%
유 1317
 
2.5%
구 1081
 
2.1%
통 1017
 
1.9%
인 902
 
1.7%
Other values (549) 33027
63.0%
Uppercase Letter
ValueCountFrequency (%)
G 434
29.7%
S 418
28.6%
K 106
 
7.3%
C 105
 
7.2%
L 92
 
6.3%
O 56
 
3.8%
A 42
 
2.9%
U 33
 
2.3%
M 28
 
1.9%
D 25
 
1.7%
Other values (15) 121
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 24
12.2%
e 21
10.7%
y 19
9.6%
r 14
 
7.1%
m 13
 
6.6%
t 13
 
6.6%
s 12
 
6.1%
i 12
 
6.1%
o 11
 
5.6%
u 11
 
5.6%
Other values (9) 47
23.9%
Decimal Number
ValueCountFrequency (%)
2 790
44.0%
5 493
27.5%
4 213
 
11.9%
1 111
 
6.2%
0 67
 
3.7%
3 65
 
3.6%
7 26
 
1.4%
6 20
 
1.1%
9 5
 
0.3%
8 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
* 120
70.2%
& 28
 
16.4%
. 16
 
9.4%
@ 3
 
1.8%
＆ 1
 
0.6%
! 1
 
0.6%
/ 1
 
0.6%
, 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1562
100.0%
Open Punctuation
ValueCountFrequency (%)
( 630
100.0%
Close Punctuation
ValueCountFrequency (%)
) 630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52473
89.0%
Common 4825
 
8.2%
Latin 1657
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 3338
 
6.4%
트 3319
 
6.3%
점 2532
 
4.8%
퍼 2395
 
4.6%
슈 1820
 
3.5%
대 1704
 
3.2%
유 1317
 
2.5%
구 1081
 
2.1%
통 1017
 
1.9%
인 902
 
1.7%
Other values (550) 33048
63.0%
Latin
ValueCountFrequency (%)
G 434
26.2%
S 418
25.2%
K 106
 
6.4%
C 105
 
6.3%
L 92
 
5.6%
O 56
 
3.4%
A 42
 
2.5%
U 33
 
2.0%
M 28
 
1.7%
D 25
 
1.5%
Other values (34) 318
19.2%
Common
ValueCountFrequency (%)
1562
32.4%
2 790
16.4%
( 630
13.1%
) 630
13.1%
5 493
 
10.2%
4 213
 
4.4%
* 120
 
2.5%
1 111
 
2.3%
0 67
 
1.4%
3 65
 
1.3%
Other values (13) 144
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52452
89.0%
ASCII 6481
 
11.0%
None 22
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 3338
 
6.4%
트 3319
 
6.3%
점 2532
 
4.8%
퍼 2395
 
4.6%
슈 1820
 
3.5%
대 1704
 
3.2%
유 1317
 
2.5%
구 1081
 
2.1%
통 1017
 
1.9%
인 902
 
1.7%
Other values (549) 33027
63.0%
ASCII
ValueCountFrequency (%)
1562
24.1%
2 790
12.2%
( 630
9.7%
) 630
9.7%
5 493
 
7.6%
G 434
 
6.7%
S 418
 
6.4%
4 213
 
3.3%
* 120
 
1.9%
1 111
 
1.7%
Other values (56) 1080
16.7%
None
ValueCountFrequency (%)
㈜ 21
95.5%
＆ 1
 
4.5%

최종수정시점
Real number (ℝ)

Distinct5667
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0108642 × 1013
Minimum2.007063 × 1013
Maximum2.0190626 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:56.570904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007063 × 1013
5-th percentile2.007063 × 1013
Q12.0070714 × 1013
median2.0110321 × 1013
Q32.0140227 × 1013
95-th percentile2.0180718 × 1013
Maximum2.0190626 × 1013
Range1.1999606 × 1011
Interquartile range (IQR)6.9512981 × 1010

Descriptive statistics

Standard deviation3.9219624 × 1010
Coefficient of variation (CV)0.0019503865
Kurtosis-1.120499
Mean2.0108642 × 1013
Median Absolute Deviation (MAD)3.9606992 × 1010
Skewness0.49174169
Sum1.9435002 × 1017
Variance1.5381789 × 1021
MonotonicityNot monotonic
2024-04-18T06:07:56.676594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070714112355 1274
 
13.2%
20070630104619 1017
 
10.5%
20070714113128 946
 
9.8%
20070714114235 333
 
3.4%
20070714133604 300
 
3.1%
20070714122950 121
 
1.3%
20071106162732 4
 
< 0.1%
20070630104938 3
 
< 0.1%
20140109100838 3
 
< 0.1%
20190528143602 2
 
< 0.1%
Other values (5657) 5662
58.6%
ValueCountFrequency (%)
20070630104619 1017
10.5%
20070630104938 3
 
< 0.1%
20070714112355 1274
13.2%
20070714113128 946
9.8%
20070714114235 333
 
3.4%
20070714122950 121
 
1.3%
20070714133604 300
 
3.1%
20070719101032 1
 
< 0.1%
20070719151425 1
 
< 0.1%
20070725133429 1
 
< 0.1%
ValueCountFrequency (%)
20190626165752 1
< 0.1%
20190626165519 1
< 0.1%
20190626165233 1
< 0.1%
20190626153036 1
< 0.1%
20190626152426 1
< 0.1%
20190625190305 1
< 0.1%
20190625172342 1
< 0.1%
20190625112806 1
< 0.1%
20190625112416 1
< 0.1%
20190624185316 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
I
9361 
U
 
304

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 9361
96.9%
U 304
 
3.1%

Length

2024-04-18T06:07:56.774245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:56.843963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9361
96.9%
u 304
 
3.1%

데이터갱신일자
Date

Distinct160
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
Minimum2018-08-31 23:59:59
Maximum2019-06-28 02:40:00
2024-04-18T06:07:56.924833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:07:57.033829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9665
Missing (%)100.0%
Memory size85.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct3917
Distinct (%)67.6%
Missing3870
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean341596.66
Minimum189859.07
Maximum358671.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:57.136240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189859.07
5-th percentile335018.85
Q1338560.69
median340411.06
Q3344585.45
95-th percentile350415.73
Maximum358671.3
Range168812.23
Interquartile range (IQR)6024.756

Descriptive statistics

Standard deviation5127.9607
Coefficient of variation (CV)0.015011741
Kurtosis132.12847
Mean341596.66
Median Absolute Deviation (MAD)2680.8212
Skewness-3.9032126
Sum1.9795527 × 109
Variance26295981
MonotonicityNot monotonic
2024-04-18T06:07:57.236931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336954.220302 13
 
0.1%
347950.194975 11
 
0.1%
337950.916001 9
 
0.1%
338088.198632 9
 
0.1%
338980.965932 9
 
0.1%
339324.389142 8
 
0.1%
340132.34497 7
 
0.1%
339810.911877 7
 
0.1%
335707.743212 7
 
0.1%
339774.225013 7
 
0.1%
Other values (3907) 5708
59.1%
(Missing) 3870
40.0%
ValueCountFrequency (%)
189859.071768836 1
 
< 0.1%
326605.700797 1
 
< 0.1%
328357.519907 1
 
< 0.1%
328379.70652 1
 
< 0.1%
328432.256141 3
< 0.1%
328544.626117 1
 
< 0.1%
329190.796671 1
 
< 0.1%
329266.125021 1
 
< 0.1%
329266.353804 1
 
< 0.1%
329276.638953 1
 
< 0.1%
ValueCountFrequency (%)
358671.296812 2
< 0.1%
356589.560791 1
< 0.1%
356563.89782 1
< 0.1%
356486.864993 2
< 0.1%
356461.2317 1
< 0.1%
356410.892344 1
< 0.1%
356408.030327 1
< 0.1%
356393.204312 1
< 0.1%
356378.752341 1
< 0.1%
356336.944398 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct3914
Distinct (%)67.5%
Missing3870
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean263559.24
Minimum241477.48
Maximum445875.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:57.345458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241477.48
5-th percentile257749.43
Q1260785.91
median263066.16
Q3265981.13
95-th percentile271608.32
Maximum445875.9
Range204398.42
Interquartile range (IQR)5195.2163

Descriptive statistics

Standard deviation4850.7154
Coefficient of variation (CV)0.01840465
Kurtosis344.55835
Mean263559.24
Median Absolute Deviation (MAD)2601.7663
Skewness9.2200318
Sum1.5273258 × 109
Variance23529440
MonotonicityNot monotonic
2024-04-18T06:07:57.455550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262321.195205 13
 
0.1%
265687.62574 11
 
0.1%
263378.345914 10
 
0.1%
261689.070956 9
 
0.1%
258268.984702 9
 
0.1%
259405.796434 8
 
0.1%
257548.491949 7
 
0.1%
257685.990487 7
 
0.1%
259800.728047 7
 
0.1%
259519.442238 7
 
0.1%
Other values (3904) 5707
59.0%
(Missing) 3870
40.0%
ValueCountFrequency (%)
241477.476504 1
< 0.1%
241924.122554 1
< 0.1%
244299.117529 1
< 0.1%
244584.666286 2
< 0.1%
244707.665942 1
< 0.1%
244716.032592 1
< 0.1%
244719.026226 1
< 0.1%
244838.382091 1
< 0.1%
244883.054949 1
< 0.1%
244896.579004 1
< 0.1%
ValueCountFrequency (%)
445875.89672273 1
< 0.1%
292024.590733752 1
< 0.1%
286377.763753217 1
< 0.1%
278354.822081 1
< 0.1%
278226.867388 1
< 0.1%
278048.41446 1
< 0.1%
277985.228016 1
< 0.1%
277895.651799 1
< 0.1%
277798.822544 1
< 0.1%
277784.134758 1
< 0.1%

업소구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
지정
6469 
종료
2083 
<NA>
1113 

Length

Max length4
Median length2
Mean length2.2303156
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 6469
66.9%
종료 2083
 
21.6%
<NA> 1113
 
11.5%

Length

2024-04-18T06:07:57.567114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:57.645458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 6469
66.9%
종료 2083
 
21.6%
na 1113
 
11.5%

소재지
Text

MISSING 

Distinct6032
Distinct (%)88.3%
Missing2836
Missing (%)29.3%
Memory size75.6 KiB
2024-04-18T06:07:57.929642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length48
Mean length20.432274
Min length2

Characters and Unicode

Total characters139532
Distinct characters420
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5427 ?
Unique (%)79.5%

Sample

1st row대구광역시 중구 남산동 940번지 13호
2nd row대구광역시 중구 대봉동 186-1번지
3rd row대구광역시 중구 대봉동 18번지 4호
4th row대구광역시 중구 대봉동 55번지 95호
5th row대구광역시 중구 대봉동 111번지 1호
ValueCountFrequency (%)
대구광역시 5409
 
18.4%
달서구 2006
 
6.8%
북구 1147
 
3.9%
수성구 1025
 
3.5%
1호 514
 
1.7%
남구 474
 
1.6%
호 415
 
1.4%
대명동 327
 
1.1%
2호 287
 
1.0%
동구 284
 
1.0%
Other values (5237) 17581
59.7%
2024-04-18T06:07:58.354858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23928
17.1%
구 11066
 
7.9%
1 7844
 
5.6%
동 6647
 
4.8%
대 6044
 
4.3%
시 5499
 
3.9%
지 5473
 
3.9%
광 5441
 
3.9%
역 5440
 
3.9%
번 5140
 
3.7%
Other values (410) 57010
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81045
58.1%
Decimal Number 32142
 
23.0%
Space Separator 23928
 
17.1%
Dash Punctuation 2108
 
1.5%
Other Punctuation 91
 
0.1%
Uppercase Letter 87
 
0.1%
Close Punctuation 55
 
< 0.1%
Open Punctuation 53
 
< 0.1%
Math Symbol 13
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 11066
13.7%
동 6647
 
8.2%
대 6044
 
7.5%
시 5499
 
6.8%
지 5473
 
6.8%
광 5441
 
6.7%
역 5440
 
6.7%
번 5140
 
6.3%
호 3833
 
4.7%
서 2475
 
3.1%
Other values (367) 23987
29.6%
Uppercase Letter
ValueCountFrequency (%)
B 21
24.1%
A 21
24.1%
S 12
13.8%
L 7
 
8.0%
K 5
 
5.7%
C 4
 
4.6%
G 4
 
4.6%
M 3
 
3.4%
T 3
 
3.4%
P 1
 
1.1%
Other values (6) 6
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 7844
24.4%
2 4209
13.1%
3 3266
10.2%
4 2906
 
9.0%
0 2799
 
8.7%
5 2499
 
7.8%
7 2235
 
7.0%
6 2234
 
7.0%
9 2105
 
6.5%
8 2045
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
c 2
22.2%
h 1
 
11.1%
t 1
 
11.1%
s 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 40
44.0%
/ 28
30.8%
. 15
 
16.5%
@ 8
 
8.8%
Close Punctuation
ValueCountFrequency (%)
) 54
98.2%
] 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
= 1
 
7.7%
Space Separator
ValueCountFrequency (%)
23928
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81045
58.1%
Common 58391
41.8%
Latin 96
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 11066
13.7%
동 6647
 
8.2%
대 6044
 
7.5%
시 5499
 
6.8%
지 5473
 
6.8%
광 5441
 
6.7%
역 5440
 
6.7%
번 5140
 
6.3%
호 3833
 
4.7%
서 2475
 
3.1%
Other values (367) 23987
29.6%
Common
ValueCountFrequency (%)
23928
41.0%
1 7844
 
13.4%
2 4209
 
7.2%
3 3266
 
5.6%
4 2906
 
5.0%
0 2799
 
4.8%
5 2499
 
4.3%
7 2235
 
3.8%
6 2234
 
3.8%
- 2108
 
3.6%
Other values (12) 4363
 
7.5%
Latin
ValueCountFrequency (%)
B 21
21.9%
A 21
21.9%
S 12
12.5%
L 7
 
7.3%
K 5
 
5.2%
C 4
 
4.2%
e 4
 
4.2%
G 4
 
4.2%
M 3
 
3.1%
T 3
 
3.1%
Other values (11) 12
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81044
58.1%
ASCII 58487
41.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23928
40.9%
1 7844
 
13.4%
2 4209
 
7.2%
3 3266
 
5.6%
4 2906
 
5.0%
0 2799
 
4.8%
5 2499
 
4.3%
7 2235
 
3.8%
6 2234
 
3.8%
- 2108
 
3.6%
Other values (33) 4459
 
7.6%
Hangul
ValueCountFrequency (%)
구 11066
13.7%
동 6647
 
8.2%
대 6044
 
7.5%
시 5499
 
6.8%
지 5473
 
6.8%
광 5441
 
6.7%
역 5440
 
6.7%
번 5140
 
6.3%
호 3833
 
4.7%
서 2475
 
3.1%
Other values (366) 23986
29.6%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct1783
Distinct (%)50.2%
Missing6113
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean20120400
Minimum19940104
Maximum20190905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:58.479174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940104
5-th percentile20060110
Q120090804
median20120214
Q320150827
95-th percentile20180912
Maximum20190905
Range250801
Interquartile range (IQR)60023

Descriptive statistics

Standard deviation40985.938
Coefficient of variation (CV)0.002037034
Kurtosis1.0206067
Mean20120400
Median Absolute Deviation (MAD)30002
Skewness-0.5990316
Sum7.1467661 × 1010
Variance1.6798471 × 109
MonotonicityNot monotonic
2024-04-18T06:07:58.587782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081231 128
 
1.3%
20120214 95
 
1.0%
20120106 79
 
0.8%
20120102 71
 
0.7%
20120215 36
 
0.4%
20111230 35
 
0.4%
20111229 23
 
0.2%
20081230 22
 
0.2%
20120105 22
 
0.2%
20111226 20
 
0.2%
Other values (1773) 3021
31.3%
(Missing) 6113
63.2%
ValueCountFrequency (%)
19940104 3
< 0.1%
19941215 1
 
< 0.1%
19941228 4
< 0.1%
19950105 1
 
< 0.1%
19950109 3
< 0.1%
19950119 1
 
< 0.1%
19950406 1
 
< 0.1%
19950705 1
 
< 0.1%
19950904 1
 
< 0.1%
19951220 1
 
< 0.1%
ValueCountFrequency (%)
20190905 1
 
< 0.1%
20190626 3
< 0.1%
20190625 2
< 0.1%
20190624 1
 
< 0.1%
20190620 2
< 0.1%
20190617 1
 
< 0.1%
20190614 1
 
< 0.1%
20190612 1
 
< 0.1%
20190607 1
 
< 0.1%
20190605 1
 
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct2770
Distinct (%)47.6%
Missing3847
Missing (%)39.8%
Infinite0
Infinite (%)0.0%
Mean20071192
Minimum199505
Maximum20190626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.1 KiB
2024-04-18T06:07:58.691939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199505
5-th percentile19950104
Q120031018
median20081231
Q320130218
95-th percentile20180305
Maximum20190626
Range19991121
Interquartile range (IQR)99199.5

Descriptive statistics

Standard deviation429278.73
Coefficient of variation (CV)0.021387804
Kurtosis1865.6275
Mean20071192
Median Absolute Deviation (MAD)49388.5
Skewness-42.672851
Sum1.1677419 × 1011
Variance1.8428022 × 1011
MonotonicityNot monotonic
2024-04-18T06:07:58.808661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120106 144
 
1.5%
19950104 128
 
1.3%
20120214 91
 
0.9%
20120102 77
 
0.8%
19950105 75
 
0.8%
20120105 72
 
0.7%
19950103 68
 
0.7%
20081231 66
 
0.7%
20120215 36
 
0.4%
20111230 32
 
0.3%
Other values (2760) 5029
52.0%
(Missing) 3847
39.8%
ValueCountFrequency (%)
199505 1
 
< 0.1%
2010115 2
 
< 0.1%
19940104 3
 
< 0.1%
19940801 7
0.1%
19941001 2
 
< 0.1%
19941031 12
0.1%
19941101 17
0.2%
19941201 8
0.1%
19941205 1
 
< 0.1%
19941206 4
 
< 0.1%
ValueCountFrequency (%)
20190626 2
< 0.1%
20190625 1
 
< 0.1%
20190624 2
< 0.1%
20190619 3
< 0.1%
20190617 1
 
< 0.1%
20190613 1
 
< 0.1%
20190611 1
 
< 0.1%
20190607 1
 
< 0.1%
20190605 1
 
< 0.1%
20190603 2
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
관급봉투
9665 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 9665
100.0%

Length

2024-04-18T06:07:58.937233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:07:59.007367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 9665
100.0%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
01쓰레기종량제봉투판매업09_30_13_P341000034100001420000081519941212<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700832대구광역시 중구 남산동 940-13번지대구광역시 중구 관덕정길 21 (남산동)700832남산슈퍼20140110102105I2018-08-31 23:59:59.0<NA>343625.764144263894.385395지정대구광역시 중구 남산동 940번지 13호<NA><NA>관급봉투
12쓰레기종량제봉투판매업09_30_13_P341000034100001420000111319970519<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700811대구광역시 중구 대봉동 186-1번지대구광역시 중구 동덕로 6 (대봉동)700811유성주유소20140110114512I2018-08-31 23:59:59.0<NA>344831.97444262899.677082지정대구광역시 중구 대봉동 186-1번지<NA><NA>관급봉투
23쓰레기종량제봉투판매업09_30_13_P341000034100001420000111419980209<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700809대구광역시 중구 대봉동 18-4번지대구광역시 중구 동덕로14길 29 (대봉동)700809은진슈퍼20140110114610I2018-08-31 23:59:59.0<NA>344944.628049263499.508848지정대구광역시 중구 대봉동 18번지 4호<NA><NA>관급봉투
34쓰레기종량제봉투판매업09_30_13_P341000034100001420000110619941230<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700810대구광역시 중구 대봉동 55-95번지대구광역시 중구 대봉로 236 (대봉동)700810대구코아20140110115715I2018-08-31 23:59:59.0<NA>344563.366332263345.037673지정대구광역시 중구 대봉동 55번지 95호<NA><NA>관급봉투
45쓰레기종량제봉투판매업09_30_13_P341000034100001420000110519941215<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700761대구광역시 중구 대봉동 111-1번지대구광역시 중구 동덕로 33 (대봉동)700761청운슈퍼20140110115814I2018-08-31 23:59:59.0<NA>344781.041867263166.287036지정대구광역시 중구 대봉동 111번지 1호<NA><NA>관급봉투
56쓰레기종량제봉투판매업09_30_13_P3410000341000014200001207<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700813대구광역시 중구 대봉동 590-281번지대구광역시 중구 명륜로22안길 28 (대봉동)700813또와20140110140010I2018-08-31 23:59:59.0<NA>344062.360257263119.505521지정대구광역시 중구 대봉동 590번지 281호<NA><NA>관급봉투
67쓰레기종량제봉투판매업09_30_13_P341000034100001420030002620030724<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700421대구광역시 중구 동인동1가 96-1번지대구광역시 중구 국채보상로131길 69 (동인동1가)700421삼진마트20140113111004I2018-08-31 23:59:59.0<NA>344649.83603264821.089303지정대구광역시 중구 동인동1가 96번지 1호<NA>20030724관급봉투
78쓰레기종량제봉투판매업09_30_13_P341000034100001420030004320031030<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700845대구광역시 중구 동인동3가 271-142번지대구광역시 중구 태평로 266 (동인동3가)700845LA24시편의점20140113134500I2018-08-31 23:59:59.0<NA>345001.809874264769.663002지정대구광역시 중구 동인동3가 271-142번지<NA>20031030관급봉투
89쓰레기종량제봉투판매업09_30_13_P341000034100001420030004420031101<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700804대구광역시 중구 남산동 2117-7번지대구광역시 중구 남산로6길 81 (남산동)700804신우유통 남산1호점20140113134614I2018-08-31 23:59:59.0<NA>343271.906983263040.314154지정대구광역시 중구 남산동 2117번지 7호<NA>20031101관급봉투
910쓰레기종량제봉투판매업09_30_13_P341000034100001420030005220031129<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>700112대구광역시 중구 태평로2가 1-50번지대구광역시 중구 태평로 135 (태평로2가)700112OK 2120140113152357I2018-08-31 23:59:59.0<NA>343742.132997265123.15101지정대구광역시 중구 태평로2가 1번지 50호<NA>20031129관급봉투
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
96559656쓰레기종량제봉투판매업09_30_13_P348000034800001419956002519950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6168862<NA>711840대구광역시 달성군 옥포면 반송리 139번지대구광역시 달성군 옥포면 기산1길 23-1<NA>반송상회20070714114235I2018-08-31 23:59:59.0<NA>335346.413581251700.21744지정반송삼거리<NA><NA>관급봉투
96569657쓰레기종량제봉투판매업09_30_13_P348000034800001419956002619950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6145124<NA>711840대구광역시 달성군 옥포면 반송리 54-1번지<NA><NA>대호상회20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정용연사 입구<NA><NA>관급봉투
96579658쓰레기종량제봉투판매업09_30_13_P348000034800001419956002719950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6160963<NA>711840대구광역시 달성군 옥포면 기세리 161번지<NA><NA>농협용연지소20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정반송삼거리<NA><NA>관급봉투
96589659쓰레기종량제봉투판매업09_30_13_P348000034800001419956002819950103<NA>1영업/정상11영업<NA><NA><NA><NA>053 6152802<NA>711840대구광역시 달성군 옥포면 본리리 839번지<NA><NA>제일유통20070714114235I2018-08-31 23:59:59.0<NA><NA><NA>지정<NA><NA><NA>관급봉투
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