Overview

Dataset statistics

Number of variables37
Number of observations2720
Missing cells33603
Missing cells (%)33.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory844.8 KiB
Average record size in memory318.0 B

Variable types

Numeric9
Categorical12
Unsupported9
Text6
DateTime1

Dataset

Description22년06월_6270000_대구광역시_09_30_12_P_수질오염원설치시설(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093755&dataSetDetailId=DDI_0000093822&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
환경업무구분명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (82.4%)Imbalance
업태구분명 is highly imbalanced (74.6%)Imbalance
업종구분명 is highly imbalanced (74.6%)Imbalance
인허가취소일자 has 2720 (100.0%) missing valuesMissing
폐업일자 has 1319 (48.5%) missing valuesMissing
휴업시작일자 has 2720 (100.0%) missing valuesMissing
휴업종료일자 has 2720 (100.0%) missing valuesMissing
재개업일자 has 2720 (100.0%) missing valuesMissing
소재지전화 has 572 (21.0%) missing valuesMissing
소재지면적 has 2720 (100.0%) missing valuesMissing
소재지우편번호 has 2086 (76.7%) missing valuesMissing
소재지전체주소 has 42 (1.5%) missing valuesMissing
도로명전체주소 has 283 (10.4%) missing valuesMissing
도로명우편번호 has 1715 (63.1%) missing valuesMissing
좌표정보(X) has 209 (7.7%) missing valuesMissing
좌표정보(Y) has 209 (7.7%) missing valuesMissing
종별명 has 2720 (100.0%) missing valuesMissing
주생산품명 has 2688 (98.8%) missing valuesMissing
배출시설조업시간 has 2720 (100.0%) missing valuesMissing
방지시설조업시간 has 2720 (100.0%) missing valuesMissing
사업자등록번호 has 2720 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사업자등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-20 21:50:22.539807
Analysis finished2024-04-20 21:50:24.369879
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1360.5
Minimum1
Maximum2720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:24.581632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile136.95
Q1680.75
median1360.5
Q32040.25
95-th percentile2584.05
Maximum2720
Range2719
Interquartile range (IQR)1359.5

Descriptive statistics

Standard deviation785.34069
Coefficient of variation (CV)0.57724417
Kurtosis-1.2
Mean1360.5
Median Absolute Deviation (MAD)680
Skewness0
Sum3700560
Variance616760
MonotonicityStrictly increasing
2024-04-21T06:50:25.030590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1818 1
 
< 0.1%
1810 1
 
< 0.1%
1811 1
 
< 0.1%
1812 1
 
< 0.1%
1813 1
 
< 0.1%
1814 1
 
< 0.1%
1815 1
 
< 0.1%
1816 1
 
< 0.1%
1817 1
 
< 0.1%
Other values (2710) 2710
99.6%
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 (%)
2720 1
< 0.1%
2719 1
< 0.1%
2718 1
< 0.1%
2717 1
< 0.1%
2716 1
< 0.1%
2715 1
< 0.1%
2714 1
< 0.1%
2713 1
< 0.1%
2712 1
< 0.1%
2711 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
수질오염원설치시설(기타)
2720 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수질오염원설치시설(기타)
2nd row수질오염원설치시설(기타)
3rd row수질오염원설치시설(기타)
4th row수질오염원설치시설(기타)
5th row수질오염원설치시설(기타)

Common Values

ValueCountFrequency (%)
수질오염원설치시설(기타) 2720
100.0%

Length

2024-04-21T06:50:25.437691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:25.727389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수질오염원설치시설(기타 2720
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
09_30_12_P
2720 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_12_P
2nd row09_30_12_P
3rd row09_30_12_P
4th row09_30_12_P
5th row09_30_12_P

Common Values

ValueCountFrequency (%)
09_30_12_P 2720
100.0%

Length

2024-04-21T06:50:26.041996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:26.332077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_12_p 2720
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446007.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:26.601892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21677.022
Coefficient of variation (CV)0.0062904747
Kurtosis-1.2058827
Mean3446007.4
Median Absolute Deviation (MAD)20000
Skewness-0.23188324
Sum9.37314 × 109
Variance4.6989329 × 108
MonotonicityIncreasing
2024-04-21T06:50:26.966271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 504
18.5%
3460000 458
16.8%
3450000 435
16.0%
3420000 332
12.2%
3430000 330
12.1%
3410000 297
10.9%
3440000 200
 
7.4%
3480000 164
 
6.0%
ValueCountFrequency (%)
3410000 297
10.9%
3420000 332
12.2%
3430000 330
12.1%
3440000 200
 
7.4%
3450000 435
16.0%
3460000 458
16.8%
3470000 504
18.5%
3480000 164
 
6.0%
ValueCountFrequency (%)
3480000 164
 
6.0%
3470000 504
18.5%
3460000 458
16.8%
3450000 435
16.0%
3440000 200
 
7.4%
3430000 330
12.1%
3420000 332
12.2%
3410000 297
10.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4460076 × 1017
Minimum3.4100003 × 1017
Maximum3.4800003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:27.374895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100003 × 1017
5-th percentile3.4100003 × 1017
Q13.4300003 × 1017
median3.4500003 × 1017
Q33.4600003 × 1017
95-th percentile3.4800003 × 1017
Maximum3.4800003 × 1017
Range7 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.1677022 × 1015
Coefficient of variation (CV)0.0062904743
Kurtosis-1.2058827
Mean3.4460076 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.23188324
Sum-3.4698792 × 1018
Variance4.6989329 × 1030
MonotonicityNot monotonic
2024-04-21T06:50:27.838256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000025200300182 1
 
< 0.1%
346000025200000189 1
 
< 0.1%
346000025199900181 1
 
< 0.1%
346000025199900186 1
 
< 0.1%
346000025200000001 1
 
< 0.1%
346000025200000088 1
 
< 0.1%
346000025199800140 1
 
< 0.1%
346000025199800142 1
 
< 0.1%
346000025199800143 1
 
< 0.1%
346000025199800144 1
 
< 0.1%
Other values (2710) 2710
99.6%
ValueCountFrequency (%)
341000025199200001 1
< 0.1%
341000025199800001 1
< 0.1%
341000025199800002 1
< 0.1%
341000025199800003 1
< 0.1%
341000025199800004 1
< 0.1%
341000025199800006 1
< 0.1%
341000025199800007 1
< 0.1%
341000025199800008 1
< 0.1%
341000025199800009 1
< 0.1%
341000025199800010 1
< 0.1%
ValueCountFrequency (%)
348000025202200002 1
< 0.1%
348000025202200001 1
< 0.1%
348000025202100034 1
< 0.1%
348000025202100033 1
< 0.1%
348000025202100032 1
< 0.1%
348000025202100031 1
< 0.1%
348000025202100030 1
< 0.1%
348000025202100029 1
< 0.1%
348000025202100028 1
< 0.1%
348000025202100027 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct1426
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20078530
Minimum19840116
Maximum20220627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:28.270512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840116
5-th percentile19980519
Q120030617
median20060116
Q320130709
95-th percentile20210624
Maximum20220627
Range380511
Interquartile range (IQR)100092.25

Descriptive statistics

Standard deviation80510.776
Coefficient of variation (CV)0.0040097943
Kurtosis-0.77321937
Mean20078530
Median Absolute Deviation (MAD)48899.5
Skewness0.42066263
Sum5.4613602 × 1010
Variance6.4819851 × 109
MonotonicityNot monotonic
2024-04-21T06:50:28.734132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030617 198
 
7.3%
20210618 38
 
1.4%
20210629 36
 
1.3%
20210630 30
 
1.1%
20210624 28
 
1.0%
20210616 26
 
1.0%
19980519 26
 
1.0%
20210621 23
 
0.8%
20210623 18
 
0.7%
20210608 17
 
0.6%
Other values (1416) 2280
83.8%
ValueCountFrequency (%)
19840116 1
< 0.1%
19841020 1
< 0.1%
19860429 1
< 0.1%
19861114 1
< 0.1%
19870607 1
< 0.1%
19880630 1
< 0.1%
19890910 1
< 0.1%
19900219 1
< 0.1%
19900323 1
< 0.1%
19900409 1
< 0.1%
ValueCountFrequency (%)
20220627 1
< 0.1%
20220610 1
< 0.1%
20220609 1
< 0.1%
20220608 1
< 0.1%
20220602 1
< 0.1%
20220530 1
< 0.1%
20220526 1
< 0.1%
20220426 1
< 0.1%
20220425 1
< 0.1%
20220422 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
3
1165 
1
1023 
4
532 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1165
42.8%
1 1023
37.6%
4 532
19.6%

Length

2024-04-21T06:50:29.179124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:29.497360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1165
42.8%
1 1023
37.6%
4 532
19.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
폐업
1165 
영업/정상
1023 
취소/말소/만료/정지/중지
532 

Length

Max length14
Median length5
Mean length5.4753676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1165
42.8%
영업/정상 1023
37.6%
취소/말소/만료/정지/중지 532
19.6%

Length

2024-04-21T06:50:29.848562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:30.169032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1165
42.8%
영업/정상 1023
37.6%
취소/말소/만료/정지/중지 532
19.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2
1165 
11
1022 
4
532 
3
 
1

Length

Max length2
Median length1
Mean length1.3757353
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 1165
42.8%
11 1022
37.6%
4 532
19.6%
3 1
 
< 0.1%

Length

2024-04-21T06:50:30.533195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:30.863040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1165
42.8%
11 1022
37.6%
4 532
19.6%
3 1
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
폐업
1165 
영업
1022 
폐쇄
532 
재개업
 
1

Length

Max length3
Median length2
Mean length2.0003676
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1165
42.8%
영업 1022
37.6%
폐쇄 532
19.6%
재개업 1
 
< 0.1%

Length

2024-04-21T06:50:31.220540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:31.540294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1165
42.8%
영업 1022
37.6%
폐쇄 532
19.6%
재개업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct982
Distinct (%)70.1%
Missing1319
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean20128232
Minimum19991116
Maximum20220628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:31.913978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991116
5-th percentile20041206
Q120080925
median20140428
Q320170323
95-th percentile20201217
Maximum20220628
Range229512
Interquartile range (IQR)89398

Descriptive statistics

Standard deviation53146.928
Coefficient of variation (CV)0.0026404171
Kurtosis-1.0481786
Mean20128232
Median Absolute Deviation (MAD)40285
Skewness-0.27720171
Sum2.8199653 × 1010
Variance2.8245959 × 109
MonotonicityNot monotonic
2024-04-21T06:50:32.360972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170221 33
 
1.2%
20050516 24
 
0.9%
20090714 20
 
0.7%
20051216 15
 
0.6%
20050416 12
 
0.4%
20090429 12
 
0.4%
20160310 9
 
0.3%
20050512 8
 
0.3%
20050513 8
 
0.3%
20160303 8
 
0.3%
Other values (972) 1252
46.0%
(Missing) 1319
48.5%
ValueCountFrequency (%)
19991116 1
< 0.1%
20000721 1
< 0.1%
20001219 1
< 0.1%
20010602 1
< 0.1%
20010702 1
< 0.1%
20010814 1
< 0.1%
20010912 1
< 0.1%
20011106 1
< 0.1%
20011113 1
< 0.1%
20011231 1
< 0.1%
ValueCountFrequency (%)
20220628 1
< 0.1%
20220624 1
< 0.1%
20220614 1
< 0.1%
20220609 1
< 0.1%
20220506 1
< 0.1%
20220504 2
0.1%
20220429 1
< 0.1%
20220426 1
< 0.1%
20220419 1
< 0.1%
20220412 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

소재지전화
Text

MISSING 

Distinct2105
Distinct (%)98.0%
Missing572
Missing (%)21.0%
Memory size21.4 KiB
2024-04-21T06:50:33.351545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.501397
Min length3

Characters and Unicode

Total characters22557
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2064 ?
Unique (%)96.1%

Sample

1st row425-8556
2nd row4239777
3rd row4272333
4th row053-424-4258
5th row7169001
ValueCountFrequency (%)
053 619
 
19.3%
651 12
 
0.4%
782 12
 
0.4%
783 11
 
0.3%
792 10
 
0.3%
793 9
 
0.3%
614 9
 
0.3%
471 9
 
0.3%
8275 9
 
0.3%
741 8
 
0.2%
Other values (2213) 2504
78.0%
2024-04-21T06:50:34.513470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4098
18.2%
0 3379
15.0%
3 3370
14.9%
7 1685
7.5%
2 1637
 
7.3%
6 1476
 
6.5%
1 1418
 
6.3%
8 1211
 
5.4%
4 1157
 
5.1%
9 1073
 
4.8%
Other values (3) 2053
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20504
90.9%
Space Separator 1071
 
4.7%
Dash Punctuation 980
 
4.3%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4098
20.0%
0 3379
16.5%
3 3370
16.4%
7 1685
8.2%
2 1637
 
8.0%
6 1476
 
7.2%
1 1418
 
6.9%
8 1211
 
5.9%
4 1157
 
5.6%
9 1073
 
5.2%
Space Separator
ValueCountFrequency (%)
1071
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 980
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22557
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4098
18.2%
0 3379
15.0%
3 3370
14.9%
7 1685
7.5%
2 1637
 
7.3%
6 1476
 
6.5%
1 1418
 
6.3%
8 1211
 
5.4%
4 1157
 
5.1%
9 1073
 
4.8%
Other values (3) 2053
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22557
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4098
18.2%
0 3379
15.0%
3 3370
14.9%
7 1685
7.5%
2 1637
 
7.3%
6 1476
 
6.5%
1 1418
 
6.3%
8 1211
 
5.4%
4 1157
 
5.1%
9 1073
 
4.8%
Other values (3) 2053
9.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

소재지우편번호
Text

MISSING 

Distinct248
Distinct (%)39.1%
Missing2086
Missing (%)76.7%
Memory size21.4 KiB
2024-04-21T06:50:35.786659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters3804
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)18.5%

Sample

1st row700440
2nd row700380
3rd row700715
4th row700424
5th row700440
ValueCountFrequency (%)
705030 37
 
5.8%
706170 13
 
2.1%
704370 10
 
1.6%
null 10
 
1.6%
704340 10
 
1.6%
702260 10
 
1.6%
702020 9
 
1.4%
702003 9
 
1.4%
706140 7
 
1.1%
706820 7
 
1.1%
Other values (238) 512
80.8%
2024-04-21T06:50:37.402753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1188
31.2%
7 694
18.2%
1 321
 
8.4%
3 298
 
7.8%
8 298
 
7.8%
2 289
 
7.6%
6 230
 
6.0%
4 224
 
5.9%
5 146
 
3.8%
9 56
 
1.5%
Other values (4) 60
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3744
98.4%
Lowercase Letter 40
 
1.1%
Space Separator 20
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1188
31.7%
7 694
18.5%
1 321
 
8.6%
3 298
 
8.0%
8 298
 
8.0%
2 289
 
7.7%
6 230
 
6.1%
4 224
 
6.0%
5 146
 
3.9%
9 56
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
l 20
50.0%
n 10
25.0%
u 10
25.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3764
98.9%
Latin 40
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1188
31.6%
7 694
18.4%
1 321
 
8.5%
3 298
 
7.9%
8 298
 
7.9%
2 289
 
7.7%
6 230
 
6.1%
4 224
 
6.0%
5 146
 
3.9%
9 56
 
1.5%
Latin
ValueCountFrequency (%)
l 20
50.0%
n 10
25.0%
u 10
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1188
31.2%
7 694
18.2%
1 321
 
8.4%
3 298
 
7.8%
8 298
 
7.8%
2 289
 
7.6%
6 230
 
6.0%
4 224
 
5.9%
5 146
 
3.8%
9 56
 
1.5%
Other values (4) 60
 
1.6%

소재지전체주소
Text

MISSING 

Distinct2386
Distinct (%)89.1%
Missing42
Missing (%)1.5%
Memory size21.4 KiB
2024-04-21T06:50:38.811982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length21.463032
Min length13

Characters and Unicode

Total characters57478
Distinct characters334
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

Unique2138 ?
Unique (%)79.8%

Sample

1st row대구광역시 중구 동인동2가 12-4
2nd row대구광역시 중구 동인동1가 195-1
3rd row대구광역시 중구 남산동 2104-3
4th row대구광역시 중구 공평동 8-2
5th row대구광역시 중구 동인동4가 332
ValueCountFrequency (%)
대구광역시 2678
23.0%
달서구 498
 
4.3%
수성구 453
 
3.9%
북구 435
 
3.7%
동구 327
 
2.8%
서구 313
 
2.7%
중구 296
 
2.5%
남구 193
 
1.7%
달성군 163
 
1.4%
대명동 133
 
1.1%
Other values (2749) 6143
52.8%
2024-04-21T06:50:40.743713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11618
20.2%
구 5245
 
9.1%
동 3022
 
5.3%
대 2965
 
5.2%
1 2770
 
4.8%
시 2717
 
4.7%
역 2688
 
4.7%
광 2685
 
4.7%
- 2236
 
3.9%
2 1769
 
3.1%
Other values (324) 19763
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30920
53.8%
Decimal Number 12553
21.8%
Space Separator 11618
 
20.2%
Dash Punctuation 2236
 
3.9%
Other Punctuation 60
 
0.1%
Uppercase Letter 34
 
0.1%
Open Punctuation 20
 
< 0.1%
Close Punctuation 19
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5245
17.0%
동 3022
 
9.8%
대 2965
 
9.6%
시 2717
 
8.8%
역 2688
 
8.7%
광 2685
 
8.7%
서 876
 
2.8%
성 841
 
2.7%
달 665
 
2.2%
수 535
 
1.7%
Other values (285) 8681
28.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
17.6%
A 6
17.6%
K 4
11.8%
P 4
11.8%
T 3
8.8%
L 2
 
5.9%
M 2
 
5.9%
S 2
 
5.9%
D 1
 
2.9%
G 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
1 2770
22.1%
2 1769
14.1%
3 1361
10.8%
4 1136
9.0%
0 1070
 
8.5%
5 1037
 
8.3%
6 977
 
7.8%
7 914
 
7.3%
9 765
 
6.1%
8 754
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
a 3
23.1%
p 2
15.4%
s 2
15.4%
t 1
 
7.7%
l 1
 
7.7%
k 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 46
76.7%
/ 8
 
13.3%
. 6
 
10.0%
Space Separator
ValueCountFrequency (%)
11618
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30920
53.8%
Common 26511
46.1%
Latin 47
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5245
17.0%
동 3022
 
9.8%
대 2965
 
9.6%
시 2717
 
8.8%
역 2688
 
8.7%
광 2685
 
8.7%
서 876
 
2.8%
성 841
 
2.7%
달 665
 
2.2%
수 535
 
1.7%
Other values (285) 8681
28.1%
Latin
ValueCountFrequency (%)
B 6
12.8%
A 6
12.8%
K 4
 
8.5%
P 4
 
8.5%
T 3
 
6.4%
e 3
 
6.4%
a 3
 
6.4%
L 2
 
4.3%
p 2
 
4.3%
M 2
 
4.3%
Other values (10) 12
25.5%
Common
ValueCountFrequency (%)
11618
43.8%
1 2770
 
10.4%
- 2236
 
8.4%
2 1769
 
6.7%
3 1361
 
5.1%
4 1136
 
4.3%
0 1070
 
4.0%
5 1037
 
3.9%
6 977
 
3.7%
7 914
 
3.4%
Other values (9) 1623
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30920
53.8%
ASCII 26558
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11618
43.7%
1 2770
 
10.4%
- 2236
 
8.4%
2 1769
 
6.7%
3 1361
 
5.1%
4 1136
 
4.3%
0 1070
 
4.0%
5 1037
 
3.9%
6 977
 
3.7%
7 914
 
3.4%
Other values (29) 1670
 
6.3%
Hangul
ValueCountFrequency (%)
구 5245
17.0%
동 3022
 
9.8%
대 2965
 
9.6%
시 2717
 
8.8%
역 2688
 
8.7%
광 2685
 
8.7%
서 876
 
2.8%
성 841
 
2.7%
달 665
 
2.2%
수 535
 
1.7%
Other values (285) 8681
28.1%

도로명전체주소
Text

MISSING 

Distinct2306
Distinct (%)94.6%
Missing283
Missing (%)10.4%
Memory size21.4 KiB
2024-04-21T06:50:42.288025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length51
Mean length26.130488
Min length20

Characters and Unicode

Total characters63680
Distinct characters379
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

Unique2185 ?
Unique (%)89.7%

Sample

1st row대구광역시 중구 공평로 74 (동인동2가)
2nd row대구광역시 중구 태평로 241-1 (동인동1가)
3rd row대구광역시 중구 명덕로 221 (남산동)
4th row대구광역시 중구 국채보상로 621 (공평동)
5th row대구광역시 중구 국채보상로 724 (동인동4가)
ValueCountFrequency (%)
대구광역시 2437
 
18.7%
달서구 432
 
3.3%
수성구 428
 
3.3%
북구 396
 
3.0%
동구 313
 
2.4%
서구 286
 
2.2%
중구 270
 
2.1%
달구벌대로 205
 
1.6%
남구 179
 
1.4%
달성군 133
 
1.0%
Other values (2095) 7935
61.0%
2024-04-21T06:50:44.105770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11294
17.7%
구 5149
 
8.1%
대 3252
 
5.1%
동 3118
 
4.9%
시 2482
 
3.9%
역 2449
 
3.8%
광 2443
 
3.8%
로 2424
 
3.8%
) 2328
 
3.7%
( 2328
 
3.7%
Other values (369) 26413
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37928
59.6%
Space Separator 11294
 
17.7%
Decimal Number 8795
 
13.8%
Close Punctuation 2328
 
3.7%
Open Punctuation 2328
 
3.7%
Other Punctuation 721
 
1.1%
Dash Punctuation 233
 
0.4%
Uppercase Letter 46
 
0.1%
Math Symbol 6
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5149
 
13.6%
대 3252
 
8.6%
동 3118
 
8.2%
시 2482
 
6.5%
역 2449
 
6.5%
광 2443
 
6.4%
로 2424
 
6.4%
성 943
 
2.5%
서 915
 
2.4%
달 876
 
2.3%
Other values (333) 13877
36.6%
Uppercase Letter
ValueCountFrequency (%)
A 8
17.4%
B 7
15.2%
K 6
13.0%
P 4
8.7%
T 3
 
6.5%
C 3
 
6.5%
F 3
 
6.5%
E 2
 
4.3%
O 2
 
4.3%
S 2
 
4.3%
Other values (6) 6
13.0%
Decimal Number
ValueCountFrequency (%)
1 1796
20.4%
2 1515
17.2%
3 977
11.1%
0 774
8.8%
4 728
8.3%
5 687
 
7.8%
6 671
 
7.6%
7 586
 
6.7%
8 539
 
6.1%
9 522
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 709
98.3%
/ 6
 
0.8%
. 4
 
0.6%
· 2
 
0.3%
Space Separator
ValueCountFrequency (%)
11294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37928
59.6%
Common 25705
40.4%
Latin 47
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5149
 
13.6%
대 3252
 
8.6%
동 3118
 
8.2%
시 2482
 
6.5%
역 2449
 
6.5%
광 2443
 
6.4%
로 2424
 
6.4%
성 943
 
2.5%
서 915
 
2.4%
달 876
 
2.3%
Other values (333) 13877
36.6%
Common
ValueCountFrequency (%)
11294
43.9%
) 2328
 
9.1%
( 2328
 
9.1%
1 1796
 
7.0%
2 1515
 
5.9%
3 977
 
3.8%
0 774
 
3.0%
4 728
 
2.8%
, 709
 
2.8%
5 687
 
2.7%
Other values (9) 2569
 
10.0%
Latin
ValueCountFrequency (%)
A 8
17.0%
B 7
14.9%
K 6
12.8%
P 4
8.5%
T 3
 
6.4%
C 3
 
6.4%
F 3
 
6.4%
E 2
 
4.3%
O 2
 
4.3%
S 2
 
4.3%
Other values (7) 7
14.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37928
59.6%
ASCII 25750
40.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11294
43.9%
) 2328
 
9.0%
( 2328
 
9.0%
1 1796
 
7.0%
2 1515
 
5.9%
3 977
 
3.8%
0 774
 
3.0%
4 728
 
2.8%
, 709
 
2.8%
5 687
 
2.7%
Other values (25) 2614
 
10.2%
Hangul
ValueCountFrequency (%)
구 5149
 
13.6%
대 3252
 
8.6%
동 3118
 
8.2%
시 2482
 
6.5%
역 2449
 
6.5%
광 2443
 
6.4%
로 2424
 
6.4%
성 943
 
2.5%
서 915
 
2.4%
달 876
 
2.3%
Other values (333) 13877
36.6%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct618
Distinct (%)61.5%
Missing1715
Missing (%)63.1%
Infinite0
Infinite (%)0.0%
Mean239150.08
Minimum41005
Maximum711880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:44.400463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41005
5-th percentile41125.8
Q141750
median42415
Q3701808
95-th percentile706823.6
Maximum711880
Range670875
Interquartile range (IQR)660058

Descriptive statistics

Standard deviation303126.44
Coefficient of variation (CV)1.2675155
Kurtosis-1.2150681
Mean239150.08
Median Absolute Deviation (MAD)855
Skewness0.88724856
Sum2.4034584 × 108
Variance9.188564 × 1010
MonotonicityNot monotonic
2024-04-21T06:50:44.664456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42699 11
 
0.4%
41423 9
 
0.3%
706170 9
 
0.3%
41965 8
 
0.3%
42760 7
 
0.3%
41078 7
 
0.3%
704190 7
 
0.3%
41701 6
 
0.2%
706803 6
 
0.2%
42620 5
 
0.2%
Other values (608) 930
34.2%
(Missing) 1715
63.1%
ValueCountFrequency (%)
41005 1
< 0.1%
41007 1
< 0.1%
41026 1
< 0.1%
41033 1
< 0.1%
41034 2
0.1%
41035 1
< 0.1%
41036 1
< 0.1%
41044 1
< 0.1%
41049 1
< 0.1%
41050 1
< 0.1%
ValueCountFrequency (%)
711880 1
< 0.1%
711872 1
< 0.1%
711870 1
< 0.1%
711860 1
< 0.1%
711856 1
< 0.1%
711854 1
< 0.1%
711853 1
< 0.1%
711851 1
< 0.1%
711839 1
< 0.1%
711834 1
< 0.1%

사업장명
Text

Distinct2504
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2024-04-21T06:50:45.434685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.4852941
Min length1

Characters and Unicode

Total characters20360
Distinct characters575
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

Unique2321 ?
Unique (%)85.3%

Sample

1st row경북방사선과의원
2nd row제일정형외과의원
3rd row타임기획
4th row최정현내과의원
5th row동인동물병원
ValueCountFrequency (%)
안경원 23
 
0.8%
주식회사 11
 
0.4%
아이젠트리 11
 
0.4%
으뜸플러스안경 10
 
0.3%
상인점 9
 
0.3%
안경 9
 
0.3%
무극안경콘택트 8
 
0.3%
의료법인 8
 
0.3%
안경명가 8
 
0.3%
내과의원 7
 
0.2%
Other values (2615) 2959
96.6%
2024-04-21T06:50:46.599118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1280
 
6.3%
의 970
 
4.8%
과 840
 
4.1%
경 553
 
2.7%
정 464
 
2.3%
안 448
 
2.2%
비 418
 
2.1%
대 396
 
1.9%
스 354
 
1.7%
내 347
 
1.7%
Other values (565) 14290
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19170
94.2%
Space Separator 345
 
1.7%
Open Punctuation 223
 
1.1%
Close Punctuation 222
 
1.1%
Uppercase Letter 184
 
0.9%
Decimal Number 145
 
0.7%
Lowercase Letter 40
 
0.2%
Other Punctuation 26
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1280
 
6.7%
의 970
 
5.1%
과 840
 
4.4%
경 553
 
2.9%
정 464
 
2.4%
안 448
 
2.3%
비 418
 
2.2%
대 396
 
2.1%
스 354
 
1.8%
내 347
 
1.8%
Other values (507) 13100
68.3%
Uppercase Letter
ValueCountFrequency (%)
S 71
38.6%
Q 32
17.4%
O 11
 
6.0%
M 10
 
5.4%
K 10
 
5.4%
C 7
 
3.8%
T 6
 
3.3%
P 5
 
2.7%
D 5
 
2.7%
I 4
 
2.2%
Other values (13) 23
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 13
32.5%
n 4
 
10.0%
s 3
 
7.5%
o 3
 
7.5%
y 2
 
5.0%
a 2
 
5.0%
r 2
 
5.0%
k 2
 
5.0%
l 2
 
5.0%
h 2
 
5.0%
Other values (4) 5
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 56
38.6%
0 33
22.8%
5 17
 
11.7%
2 12
 
8.3%
3 10
 
6.9%
8 6
 
4.1%
6 5
 
3.4%
4 3
 
2.1%
9 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 8
30.8%
& 7
26.9%
* 5
19.2%
· 2
 
7.7%
/ 2
 
7.7%
, 1
 
3.8%
% 1
 
3.8%
Space Separator
ValueCountFrequency (%)
345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19171
94.2%
Common 965
 
4.7%
Latin 224
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1280
 
6.7%
의 970
 
5.1%
과 840
 
4.4%
경 553
 
2.9%
정 464
 
2.4%
안 448
 
2.3%
비 418
 
2.2%
대 396
 
2.1%
스 354
 
1.8%
내 347
 
1.8%
Other values (508) 13101
68.3%
Latin
ValueCountFrequency (%)
S 71
31.7%
Q 32
14.3%
e 13
 
5.8%
O 11
 
4.9%
M 10
 
4.5%
K 10
 
4.5%
C 7
 
3.1%
T 6
 
2.7%
P 5
 
2.2%
D 5
 
2.2%
Other values (27) 54
24.1%
Common
ValueCountFrequency (%)
345
35.8%
( 223
23.1%
) 222
23.0%
1 56
 
5.8%
0 33
 
3.4%
5 17
 
1.8%
2 12
 
1.2%
3 10
 
1.0%
. 8
 
0.8%
& 7
 
0.7%
Other values (10) 32
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19170
94.2%
ASCII 1187
 
5.8%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1280
 
6.7%
의 970
 
5.1%
과 840
 
4.4%
경 553
 
2.9%
정 464
 
2.4%
안 448
 
2.3%
비 418
 
2.2%
대 396
 
2.1%
스 354
 
1.8%
내 347
 
1.8%
Other values (507) 13100
68.3%
ASCII
ValueCountFrequency (%)
345
29.1%
( 223
18.8%
) 222
18.7%
S 71
 
6.0%
1 56
 
4.7%
0 33
 
2.8%
Q 32
 
2.7%
5 17
 
1.4%
e 13
 
1.1%
2 12
 
1.0%
Other values (46) 163
13.7%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2720
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0150485 × 1013
Minimum2.0010618 × 1013
Maximum2.0220627 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:47.007593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0010618 × 1013
5-th percentile2.0050516 × 1013
Q12.0110621 × 1013
median2.0160666 × 1013
Q32.0200917 × 1013
95-th percentile2.0210715 × 1013
Maximum2.0220627 × 1013
Range2.1000903 × 1011
Interquartile range (IQR)9.0295744 × 1010

Descriptive statistics

Standard deviation5.3511687 × 1010
Coefficient of variation (CV)0.0026556029
Kurtosis-0.88745044
Mean2.0150485 × 1013
Median Absolute Deviation (MAD)4.9445477 × 1010
Skewness-0.51146779
Sum5.480932 × 1016
Variance2.8635006 × 1021
MonotonicityNot monotonic
2024-04-21T06:50:47.428756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110418152029 1
 
< 0.1%
20151013112642 1
 
< 0.1%
20071212110042 1
 
< 0.1%
20141027165932 1
 
< 0.1%
20051216174933 1
 
< 0.1%
20150305092049 1
 
< 0.1%
20160707084854 1
 
< 0.1%
20171222163127 1
 
< 0.1%
20101206174931 1
 
< 0.1%
20150212094257 1
 
< 0.1%
Other values (2710) 2710
99.6%
ValueCountFrequency (%)
20010618140708 1
< 0.1%
20010829172321 1
< 0.1%
20011025163710 1
< 0.1%
20011113142653 1
< 0.1%
20021004113705 1
< 0.1%
20021022160144 1
< 0.1%
20030312180344 1
< 0.1%
20030417183448 1
< 0.1%
20030522151846 1
< 0.1%
20030705102642 1
< 0.1%
ValueCountFrequency (%)
20220627172752 1
< 0.1%
20220627104403 1
< 0.1%
20220624153355 1
< 0.1%
20220623101505 1
< 0.1%
20220622150356 1
< 0.1%
20220614165701 1
< 0.1%
20220614151909 1
< 0.1%
20220609154328 1
< 0.1%
20220608173107 1
< 0.1%
20220608112228 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
I
2648 
U
 
72

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 2648
97.4%
U 72
 
2.6%

Length

2024-04-21T06:50:47.825018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:48.122484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2648
97.4%
u 72
 
2.6%

데이터갱신일자
Date

Distinct68
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
Minimum2021-10-03 00:22:47
Maximum2022-06-29 02:40:00
2024-04-21T06:50:48.429301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T06:50:48.840604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct35
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2175 
사진 처리업
226 
일반 의원
 
100
자동차 수리업
 
57
자동차 종합 수리업
 
43
Other values (30)
 
119

Length

Max length18
Median length4
Mean length4.4474265
Min length2

Unique

Unique17 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2175
80.0%
사진 처리업 226
 
8.3%
일반 의원 100
 
3.7%
자동차 수리업 57
 
2.1%
자동차 종합 수리업 43
 
1.6%
의원 35
 
1.3%
의료업 19
 
0.7%
일반 병원 13
 
0.5%
사진 촬영 및 처리업 11
 
0.4%
사진촬영 및 처리업 5
 
0.2%
Other values (25) 36
 
1.3%

Length

2024-04-21T06:50:49.276682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2175
65.6%
처리업 242
 
7.3%
사진 238
 
7.2%
의원 136
 
4.1%
일반 113
 
3.4%
수리업 110
 
3.3%
자동차 108
 
3.3%
종합 44
 
1.3%
및 28
 
0.8%
의료업 20
 
0.6%
Other values (46) 102
 
3.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2096
Distinct (%)83.5%
Missing209
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean343128.43
Minimum326080.99
Maximum357183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:49.661571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326080.99
5-th percentile335079.43
Q1339650.68
median343254.05
Q3346169.47
95-th percentile354140.82
Maximum357183
Range31102.017
Interquartile range (IQR)6518.7895

Descriptive statistics

Standard deviation5322.9366
Coefficient of variation (CV)0.015512957
Kurtosis0.37588984
Mean343128.43
Median Absolute Deviation (MAD)3380.9505
Skewness0.1268776
Sum8.6159549 × 108
Variance28333654
MonotonicityNot monotonic
2024-04-21T06:50:50.091225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345383.649328 6
 
0.2%
343820.40768 5
 
0.2%
346082.249708 5
 
0.2%
346729.811075 5
 
0.2%
338785.053764 4
 
0.1%
348125.895699 4
 
0.1%
348109.858023 4
 
0.1%
346914.592107 4
 
0.1%
338734.539877 4
 
0.1%
338508.03969 4
 
0.1%
Other values (2086) 2466
90.7%
(Missing) 209
 
7.7%
ValueCountFrequency (%)
326080.988012 1
< 0.1%
326149.091522 1
< 0.1%
326150.46339 1
< 0.1%
326213.353192 1
< 0.1%
326270.693435 1
< 0.1%
326347.929006 1
< 0.1%
327016.237008 2
0.1%
327479.242965 1
< 0.1%
327569.45258 1
< 0.1%
327861.180608 1
< 0.1%
ValueCountFrequency (%)
357183.0049 1
< 0.1%
356393.204312 1
< 0.1%
356288.780361 1
< 0.1%
356199.413439 1
< 0.1%
356129.784535 1
< 0.1%
356129.092553 1
< 0.1%
356044.071074 1
< 0.1%
355939.362329 1
< 0.1%
355866.655284 1
< 0.1%
355857.357218 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2096
Distinct (%)83.5%
Missing209
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean263472
Minimum238772.41
Maximum278013.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-04-21T06:50:50.501577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238772.41
5-th percentile257714.35
Q1261346.41
median263650.41
Q3265479.18
95-th percentile270303.88
Maximum278013.82
Range39241.414
Interquartile range (IQR)4132.7698

Descriptive statistics

Standard deviation3984.9915
Coefficient of variation (CV)0.015124914
Kurtosis5.2303761
Mean263472
Median Absolute Deviation (MAD)2108.043
Skewness-0.98998635
Sum6.615782 × 108
Variance15880157
MonotonicityNot monotonic
2024-04-21T06:50:50.946633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267901.294823 6
 
0.2%
264018.87607 5
 
0.2%
258226.047452 5
 
0.2%
263222.509613 5
 
0.2%
257426.099461 4
 
0.1%
259196.371149 4
 
0.1%
259112.690055 4
 
0.1%
263414.138825 4
 
0.1%
264959.713105 4
 
0.1%
258645.860959 4
 
0.1%
Other values (2086) 2466
90.7%
(Missing) 209
 
7.7%
ValueCountFrequency (%)
238772.40735 1
< 0.1%
240482.499847 1
< 0.1%
240739.938523 1
< 0.1%
240809.724832 1
< 0.1%
241526.0 1
< 0.1%
241564.0 1
< 0.1%
243219.427768 1
< 0.1%
244698.680188 1
< 0.1%
244783.975677 1
< 0.1%
244856.410421 1
< 0.1%
ValueCountFrequency (%)
278013.82104 1
 
< 0.1%
273568.291421 1
 
< 0.1%
273236.236628 1
 
< 0.1%
273154.517513 1
 
< 0.1%
273091.517032 1
 
< 0.1%
272947.055086 1
 
< 0.1%
272946.411516 1
 
< 0.1%
272770.780663 1
 
< 0.1%
272754.669975 1
 
< 0.1%
272735.67566 3
0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
기타수질오염원관리
2720 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타수질오염원관리 2720
100.0%

Length

2024-04-21T06:50:51.363360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:51.649130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타수질오염원관리 2720
100.0%

업종구분명
Categorical

IMBALANCE 

Distinct35
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2175 
사진 처리업
226 
일반 의원
 
100
자동차 수리업
 
57
자동차 종합 수리업
 
43
Other values (30)
 
119

Length

Max length18
Median length4
Mean length4.4474265
Min length2

Unique

Unique17 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2175
80.0%
사진 처리업 226
 
8.3%
일반 의원 100
 
3.7%
자동차 수리업 57
 
2.1%
자동차 종합 수리업 43
 
1.6%
의원 35
 
1.3%
의료업 19
 
0.7%
일반 병원 13
 
0.5%
사진 촬영 및 처리업 11
 
0.4%
사진촬영 및 처리업 5
 
0.2%
Other values (25) 36
 
1.3%

Length

2024-04-21T06:50:52.012497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2175
65.6%
처리업 242
 
7.3%
사진 238
 
7.2%
의원 136
 
4.1%
일반 113
 
3.4%
수리업 110
 
3.3%
자동차 108
 
3.3%
종합 44
 
1.3%
및 28
 
0.8%
의료업 20
 
0.6%
Other values (46) 102
 
3.1%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

주생산품명
Text

MISSING 

Distinct20
Distinct (%)62.5%
Missing2688
Missing (%)98.8%
Memory size21.4 KiB
2024-04-21T06:50:52.677630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.1875
Min length2

Characters and Unicode

Total characters166
Distinct characters45
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

Unique14 ?
Unique (%)43.8%

Sample

1st row자동차종합수리
2nd row고철
3rd row고철
4th row자동차 정비
5th row자동차도장
ValueCountFrequency (%)
자동차정비 6
15.0%
자동차 5
12.5%
수리된 5
12.5%
자동차수리 2
 
5.0%
고철 2
 
5.0%
수리된자동차 2
 
5.0%
안경렌즈 2
 
5.0%
정비 2
 
5.0%
세차 1
 
2.5%
x-ray필름현상 1
 
2.5%
Other values (12) 12
30.0%
2024-04-21T06:50:53.761076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 24
14.5%
자 19
11.4%
동 18
10.8%
수 12
 
7.2%
리 11
 
6.6%
정 10
 
6.0%
비 10
 
6.0%
된 8
 
4.8%
8
 
4.8%
장 3
 
1.8%
Other values (35) 43
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
91.6%
Space Separator 8
 
4.8%
Lowercase Letter 2
 
1.2%
Uppercase Letter 2
 
1.2%
Dash Punctuation 1
 
0.6%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 24
15.8%
자 19
12.5%
동 18
11.8%
수 12
 
7.9%
리 11
 
7.2%
정 10
 
6.6%
비 10
 
6.6%
된 8
 
5.3%
장 3
 
2.0%
업 2
 
1.3%
Other values (28) 35
23.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
y 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
91.6%
Common 10
 
6.0%
Latin 4
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 24
15.8%
자 19
12.5%
동 18
11.8%
수 12
 
7.9%
리 11
 
7.2%
정 10
 
6.6%
비 10
 
6.6%
된 8
 
5.3%
장 3
 
2.0%
업 2
 
1.3%
Other values (28) 35
23.0%
Latin
ValueCountFrequency (%)
a 1
25.0%
X 1
25.0%
R 1
25.0%
y 1
25.0%
Common
ValueCountFrequency (%)
8
80.0%
- 1
 
10.0%
, 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
91.6%
ASCII 14
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 24
15.8%
자 19
12.5%
동 18
11.8%
수 12
 
7.9%
리 11
 
7.2%
정 10
 
6.6%
비 10
 
6.6%
된 8
 
5.3%
장 3
 
2.0%
업 2
 
1.3%
Other values (28) 35
23.0%
ASCII
ValueCountFrequency (%)
8
57.1%
a 1
 
7.1%
X 1
 
7.1%
- 1
 
7.1%
R 1
 
7.1%
y 1
 
7.1%
, 1
 
7.1%

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

배출시설연간가동일수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2353 
0
367 

Length

Max length4
Median length4
Mean length3.5952206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2353
86.5%
0 367
 
13.5%

Length

2024-04-21T06:50:54.173336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:54.484002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2353
86.5%
0 367
 
13.5%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

방지시설연간가동일수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2353 
0
367 

Length

Max length4
Median length4
Mean length3.5952206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2353
86.5%
0 367
 
13.5%

Length

2024-04-21T06:50:54.823656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:55.134143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2353
86.5%
0 367
 
13.5%

사업자등록번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2720
Missing (%)100.0%
Memory size24.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
01수질오염원설치시설(기타)09_30_12_P341000034100002520030018220030728<NA>3폐업2폐업20110418<NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동2가 12-4대구광역시 중구 공평로 74 (동인동2가)<NA>경북방사선과의원20110418152029I2021-12-16 00:22:43.0<NA>344493.52349264554.394753기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
12수질오염원설치시설(기타)09_30_12_P341000034100002520030004920030724<NA>3폐업2폐업20110419<NA><NA><NA>425-8556<NA><NA>대구광역시 중구 동인동1가 195-1대구광역시 중구 태평로 241-1 (동인동1가)<NA>제일정형외과의원20110419150736I2021-12-16 00:22:43.0<NA>344783.369277264848.40658기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
23수질오염원설치시설(기타)09_30_12_P341000034100002520100000520100705<NA>3폐업2폐업20111021<NA><NA><NA>4239777<NA><NA>대구광역시 중구 남산동 2104-3대구광역시 중구 명덕로 221 (남산동)<NA>타임기획20111021111530I2021-12-16 00:22:43.0<NA>343943.116942263037.972531기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
34수질오염원설치시설(기타)09_30_12_P341000034100002519980005919981009<NA>3폐업2폐업20110829<NA><NA><NA>4272333<NA><NA>대구광역시 중구 공평동 8-2대구광역시 중구 국채보상로 621 (공평동)<NA>최정현내과의원20110829154417I2021-12-16 00:22:43.0<NA>344324.266468264548.650132기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
45수질오염원설치시설(기타)09_30_12_P341000034100002519980006020031121<NA>3폐업2폐업20151120<NA><NA><NA>053-424-4258<NA><NA>대구광역시 중구 동인동4가 332대구광역시 중구 국채보상로 724 (동인동4가)700847동인동물병원20151120173922I2021-12-16 00:22:43.0<NA>345305.717666264336.799703기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
56수질오염원설치시설(기타)09_30_12_P341000034100002520100000720101122<NA>3폐업2폐업20190813<NA><NA><NA>7169001<NA><NA>대구광역시 중구 대봉동 128-8 3층대구광역시 중구 대봉로 200 (대봉동,3층)<NA>나온그래픽출력센타20190814082921I2021-12-16 00:22:43.0<NA>344683.360059263011.525066기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
67수질오염원설치시설(기타)09_30_12_P341000034100002520110000120110408<NA>3폐업2폐업20120511<NA><NA><NA>0539437585<NA><NA>대구광역시 중구 남산동 925-2대구광역시 중구 중앙대로 359 (남산동)<NA>맥이비인후과의원20120511143703I2021-12-16 00:22:43.0<NA>343798.778761263938.229879기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
78수질오염원설치시설(기타)09_30_12_P341000034100002520100000320100426<NA>3폐업2폐업20161220<NA><NA><NA>4271130<NA><NA>대구광역시 중구 대봉동 127-23대구광역시 중구 동덕로 17 (대봉동)<NA>예림스튜디오20161220094800I2021-12-16 00:22:43.0<NA>344835.286978263026.927145기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
89수질오염원설치시설(기타)09_30_12_P341000034100002520010000920011107<NA>3폐업2폐업20180809<NA><NA><NA>2549029<NA><NA>대구광역시 중구 남산동 579-17대구광역시 중구 명륜로 44-4 (남산동)<NA>대보사진관20180809174550I2021-12-16 00:22:43.0<NA>343499.011352263663.108729기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
910수질오염원설치시설(기타)09_30_12_P341000034100002519980005319981010<NA>3폐업2폐업20151209<NA><NA><NA>053 4268563<NA><NA>대구광역시 중구 남산동 687-23대구광역시 중구 명륜로23길 17 (남산동)700802뿌리기획20151210092328I2021-12-16 00:22:43.0<NA>344075.307712263467.060784기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수사업자등록번호
27102711수질오염원설치시설(기타)09_30_12_P348000034800002520120000320120127<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 491대구광역시 달성군 다사읍 다사역로 39711810다사랑패밀리의원20120127182153I2021-12-16 00:22:43.0일반 의원331597.649165263824.496118기타수질오염원관리일반 의원<NA>X-Ray필름현상<NA><NA><NA><NA><NA>
27112712수질오염원설치시설(기타)09_30_12_P348000034800002520120000420120127<NA>1영업/정상11영업<NA><NA><NA><NA>566-8888<NA>711823대구광역시 달성군 하빈면 하산리 947-95대구광역시 달성군 하빈면 하산길 68-32<NA>(주)한국종합폐차장20160716160501I2021-12-16 00:22:43.0<NA>327016.237008265286.845827기타수질오염원관리<NA><NA>폐차장시설<NA><NA><NA><NA><NA>
27122713수질오염원설치시설(기타)09_30_12_P348000034800002520030001920030617<NA>1영업/정상11영업<NA><NA><NA><NA>053 767 5004<NA>711864대구광역시 달성군 가창면 용계리 12-2<NA><NA>영남의원20031201212415I2021-12-16 00:22:43.0일반 의원<NA><NA>기타수질오염원관리일반 의원<NA><NA><NA>0<NA>0<NA>
27132714수질오염원설치시설(기타)09_30_12_P348000034800002520030003420030617<NA>1영업/정상11영업<NA><NA><NA><NA>053 615 1231<NA><NA>대구광역시 달성군 옥포읍 본리리 2416-4대구광역시 달성군 논공읍 비슬로 2207711853서울중앙의원20131105084135I2021-12-16 00:22:43.0<NA>332190.416047255325.544428기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
27142715수질오염원설치시설(기타)09_30_12_P348000034800002520030003820030617<NA>1영업/정상11영업<NA><NA><NA><NA>053 585 8485<NA>711813대구광역시 달성군 다사읍 서재리 170-1<NA><NA>서재QSS20060227175423I2021-12-16 00:22:43.0사진 처리업335194.411765264901.851503기타수질오염원관리사진 처리업<NA><NA><NA>0<NA>0<NA>
27152716수질오염원설치시설(기타)09_30_12_P348000034800002520070000720071129<NA>1영업/정상11영업<NA><NA><NA><NA>6176767<NA><NA>대구광역시 달성군 현풍읍 대리 599-1대구광역시 달성군 현풍면 국가산단북로 360<NA>현풍현대서비스20170517180058I2021-12-16 00:22:43.0<NA>329403.0241564.0기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
27162717수질오염원설치시설(기타)09_30_12_P348000034800002520070000520070827<NA>1영업/정상11영업<NA><NA><NA><NA>0536347559<NA><NA>대구광역시 달성군 화원읍 천내리 156-1대구광역시 달성군 화원읍 사문진로 447<NA>율곡의원20070827132852I2021-12-16 00:22:43.0<NA>335275.679142257003.13035기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
27172718수질오염원설치시설(기타)09_30_12_P348000034800002520080000720081111<NA>1영업/정상11영업<NA><NA><NA><NA>6154997<NA><NA>대구광역시 달성군 논공읍 북리 803-179대구광역시 달성군 논공읍 논공로 760<NA>최도희소아과의원20081111174022I2021-12-16 00:22:43.0<NA>330572.016095248653.907643기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
27182719수질오염원설치시설(기타)09_30_12_P348000034800002520080000420080609<NA>1영업/정상11영업<NA><NA><NA><NA>0536397044<NA><NA>대구광역시 달성군 화원읍 명곡리 110-2대구광역시 달성군 화원읍 화암로 67<NA>루시포토20080610091837I2021-12-16 00:22:43.0<NA>335145.643186256339.86595기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>
27192720수질오염원설치시설(기타)09_30_12_P348000034800002520080000620080829<NA>1영업/정상11영업<NA><NA><NA><NA>6356100<NA><NA>대구광역시 달성군 화원읍 구라리 1737-1대구광역시 달성군 화원읍 비슬로 2723<NA>본이비인후과의원20080829170406I2021-12-16 00:22:43.0<NA>336651.604681257694.547439기타수질오염원관리<NA><NA><NA><NA><NA><NA><NA><NA>