Overview

Dataset statistics

Number of variables32
Number of observations23
Missing cells220
Missing cells (%)29.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory279.6 B

Variable types

Numeric5
Categorical19
Unsupported8

Dataset

Description23년06월_6270000_대구광역시_09_29_02_P_지하수영향조사기관
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098650&dataSetDetailId=DDI_0000098649&provdMethod=FILE

Alerts

개방서비스명 has constant value "지하수영향조사기관"Constant
개방서비스아이디 has constant value "09_29_02_P"Constant
자본금 has constant value "0"Constant
인허가취소일자 has 18 (78.3%) missing valuesMissing
폐업일자 has 23 (100.0%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
소재지전화 has 23 (100.0%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
도로명전체주소 has 4 (17.4%) missing valuesMissing
도로명우편번호 has 11 (47.8%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
시설장비 has 1 (4.3%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
폐업일자 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
소재지전화 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
소재지우편번호 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 started2023-07-15 13:19:35.230909
Analysis finished2023-07-15 13:19:35.700266
Duration0.47 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2023-07-15T22:19:35.781076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-07-15T22:19:35.987310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
13 1
 
4.3%
23 1
 
4.3%
3 1
 
4.3%
4 1
 
4.3%
5 1
 
4.3%
6 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
9 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

개방서비스명
Categorical

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
지하수영향조사기관
23 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지하수영향조사기관 23
100.0%

Length

2023-07-15T22:19:36.212992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:36.433496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
지하수영향조사기관 23
100.0%

개방서비스아이디
Categorical

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
09_29_02_P
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_29_02_P
2nd row09_29_02_P
3rd row09_29_02_P
4th row09_29_02_P
5th row09_29_02_P

Common Values

ValueCountFrequency (%)
09_29_02_P 23
100.0%

Length

2023-07-15T22:19:36.601484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:36.776726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
09_29_02_p 23
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3461304.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2023-07-15T22:19:36.935825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13450000
median3470000
Q33480000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation23799.226
Coefficient of variation (CV)0.006875797
Kurtosis-0.24419572
Mean3461304.3
Median Absolute Deviation (MAD)10000
Skewness-1.0555438
Sum79610000
Variance5.6640316 × 108
MonotonicityIncreasing
2023-07-15T22:19:37.150323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3480000 11
47.8%
3420000 3
 
13.0%
3460000 3
 
13.0%
3450000 2
 
8.7%
3470000 2
 
8.7%
3410000 1
 
4.3%
3440000 1
 
4.3%
ValueCountFrequency (%)
3410000 1
 
4.3%
3420000 3
 
13.0%
3440000 1
 
4.3%
3450000 2
 
8.7%
3460000 3
 
13.0%
3470000 2
 
8.7%
3480000 11
47.8%
ValueCountFrequency (%)
3480000 11
47.8%
3470000 2
 
8.7%
3460000 3
 
13.0%
3450000 2
 
8.7%
3440000 1
 
4.3%
3420000 3
 
13.0%
3410000 1
 
4.3%

관리번호
Categorical

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
S001701110060799L00
2 
S001744110004474L00
2 
S001747110006648L00
 
1
S001748110011934L00
 
1
S001748110006638L00
 
1
Other values (16)
16 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st rowS001747110006648L00
2nd rowS001760110053360L00
3rd rowS001748110011934L00
4th rowS001748110006638L00
5th rowS001714110005300L00

Common Values

ValueCountFrequency (%)
S001701110060799L00 2
 
8.7%
S001744110004474L00 2
 
8.7%
S001747110006648L00 1
 
4.3%
S001748110011934L00 1
 
4.3%
S001748110006638L00 1
 
4.3%
S001714110005300L00 1
 
4.3%
S001744110000703L00 1
 
4.3%
S005024565460000000 1
 
4.3%
S001701110456584L00 1
 
4.3%
S001754110018268L00 1
 
4.3%
Other values (11) 11
47.8%

Length

2023-07-15T22:19:37.375019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
s001701110060799l00 2
 
8.7%
s001744110004474l00 2
 
8.7%
s001751110023057l00 1
 
4.3%
s002301110069623l00 1
 
4.3%
s001701110127656l00 1
 
4.3%
s001701110217267l00 1
 
4.3%
s001701110347163l00 1
 
4.3%
s001715110012725l00 1
 
4.3%
s001752110054050l00 1
 
4.3%
s005131578541000000 1
 
4.3%
Other values (11) 11
47.8%

인허가일자
Categorical

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
1998-04-08
2 
2010-06-16
2 
2006-06-02
 
1
1999-09-02
 
1
1997-09-09
 
1
Other values (16)
16 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row2006-06-02
2nd row2009-06-15
3rd row1999-09-02
4th row1997-09-09
5th row1999-03-10

Common Values

ValueCountFrequency (%)
1998-04-08 2
 
8.7%
2010-06-16 2
 
8.7%
2006-06-02 1
 
4.3%
1999-09-02 1
 
4.3%
1997-09-09 1
 
4.3%
1999-03-10 1
 
4.3%
1998-02-09 1
 
4.3%
1997-09-23 1
 
4.3%
2019-12-31 1
 
4.3%
2019-07-04 1
 
4.3%
Other values (11) 11
47.8%

Length

2023-07-15T22:19:37.547014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1998-04-08 2
 
8.7%
2010-06-16 2
 
8.7%
2018-03-30 1
 
4.3%
2021-12-30 1
 
4.3%
2012-02-07 1
 
4.3%
2021-01-22 1
 
4.3%
2012-01-31 1
 
4.3%
2017-03-30 1
 
4.3%
2020-04-20 1
 
4.3%
2009-08-11 1
 
4.3%
Other values (11) 11
47.8%

인허가취소일자
Categorical

Distinct5
Distinct (%)100.0%
Missing18
Missing (%)78.3%
Memory size312.0 B
2011-03-10
1 
2012-07-09
1 
2013-10-25
1 
2010-04-16
1 
2011-08-25
1 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row2011-03-10
2nd row2012-07-09
3rd row2013-10-25
4th row2010-04-16
5th row2011-08-25

Common Values

ValueCountFrequency (%)
2011-03-10 1
 
4.3%
2012-07-09 1
 
4.3%
2013-10-25 1
 
4.3%
2010-04-16 1
 
4.3%
2011-08-25 1
 
4.3%
(Missing) 18
78.3%

Length

2023-07-15T22:19:37.755173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:38.017000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2011-03-10 1
20.0%
2012-07-09 1
20.0%
2013-10-25 1
20.0%
2010-04-16 1
20.0%
2011-08-25 1
20.0%

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
1
18 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

Length

2023-07-15T22:19:38.211188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:38.397575image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
영업/정상
18 
폐업
5 

Length

Max length5
Median length5
Mean length4.3478261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
78.3%
폐업 5
 
21.7%

Length

2023-07-15T22:19:38.579584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:38.783064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
78.3%
폐업 5
 
21.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
1
18 
2
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 18
78.3%
2 5
 
21.7%

Length

2023-07-15T22:19:38.936882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:39.126562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 18
78.3%
2 5
 
21.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
영업
18 
취소정지업체
5 

Length

Max length6
Median length2
Mean length2.8695652
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 18
78.3%
취소정지업체 5
 
21.7%

Length

2023-07-15T22:19:39.276948image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:39.520004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업 18
78.3%
취소정지업체 5
 
21.7%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

소재지전체주소
Categorical

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
대구광역시 달성군 하빈면 봉촌리 991-2번지
2 
대구광역시 달성군 다사읍 서재리 126-1
2 
대구광역시 동구 상매동 521-2번지
 
1
대구광역시 동구 신천동 366-6번지
 
1
대구광역시 동구 신천동 149-31번지 149-31번지 4층
 
1
Other values (16)
16 

Length

Max length38
Median length31
Mean length25.173913
Min length20

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row대구광역시 중구 대봉동 55-68번지 대구맨션 A동 C호
2nd row대구광역시 동구 상매동 521-2번지
3rd row대구광역시 동구 신천동 366-6번지
4th row대구광역시 동구 신천동 149-31번지 149-31번지 4층
5th row대구광역시 남구 대명동 2033-28번지

Common Values

ValueCountFrequency (%)
대구광역시 달성군 하빈면 봉촌리 991-2번지 2
 
8.7%
대구광역시 달성군 다사읍 서재리 126-1 2
 
8.7%
대구광역시 동구 상매동 521-2번지 1
 
4.3%
대구광역시 동구 신천동 366-6번지 1
 
4.3%
대구광역시 동구 신천동 149-31번지 149-31번지 4층 1
 
4.3%
대구광역시 남구 대명동 2033-28번지 1
 
4.3%
대구광역시 북구 칠성동2가 715 대구역 서희스타힐스 상가동 206호 1
 
4.3%
대구광역시 북구 서변동 1784-3번지 1
 
4.3%
대구광역시 수성구 수성동2가 15-11번지 1
 
4.3%
대구광역시 수성구 범어동 63-25 1
 
4.3%
Other values (11) 11
47.8%

Length

2023-07-15T22:19:39.695674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 23
 
20.0%
달성군 11
 
9.6%
하빈면 4
 
3.5%
동구 3
 
2.6%
수성구 3
 
2.6%
화원읍 3
 
2.6%
봉촌리 3
 
2.6%
서재리 2
 
1.7%
다사읍 2
 
1.7%
달서구 2
 
1.7%
Other values (52) 59
51.3%

도로명전체주소
Categorical

Distinct17
Distinct (%)89.5%
Missing4
Missing (%)17.4%
Memory size312.0 B
대구광역시 달성군 하빈면 하빈남로 504-34
2 
대구광역시 달성군 다사읍 서재본길 5, 3층
2 
대구광역시 동구 율암로 149-6 (상매동)
 
1
대구광역시 동구 화랑로9길 61 (신천동)
 
1
대구광역시 동구 장등로 9 (신천동, 149-31번지 4층)
 
1
Other values (12)
12 

Length

Max length47
Median length33
Mean length26.736842
Min length20

Unique

Unique15 ?
Unique (%)78.9%

Sample

1st row대구광역시 중구 명륜로 154, A동 C호 (대봉동,대구맨션)
2nd row대구광역시 동구 율암로 149-6 (상매동)
3rd row대구광역시 동구 화랑로9길 61 (신천동)
4th row대구광역시 동구 장등로 9 (신천동, 149-31번지 4층)
5th row대구광역시 남구 명덕로 212-1 (대명동)

Common Values

ValueCountFrequency (%)
대구광역시 달성군 하빈면 하빈남로 504-34 2
 
8.7%
대구광역시 달성군 다사읍 서재본길 5, 3층 2
 
8.7%
대구광역시 동구 율암로 149-6 (상매동) 1
 
4.3%
대구광역시 동구 화랑로9길 61 (신천동) 1
 
4.3%
대구광역시 동구 장등로 9 (신천동, 149-31번지 4층) 1
 
4.3%
대구광역시 남구 명덕로 212-1 (대명동) 1
 
4.3%
대구광역시 북구 칠성남로 101, 상가동 206호 (칠성동2가, 대구역 서희스타힐스) 1
 
4.3%
대구광역시 북구 호국로43길 8-20 (서변동) 1
 
4.3%
대구광역시 수성구 동원로28길 50, 가인 4층 A호 (만촌동) 1
 
4.3%
대구광역시 달서구 상화북로 196-14 (상인동) 1
 
4.3%
Other values (7) 7
30.4%
(Missing) 4
17.4%

Length

2023-07-15T22:19:39.921129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 19
 
17.3%
달성군 9
 
8.2%
동구 3
 
2.7%
하빈면 3
 
2.7%
3층 3
 
2.7%
화원읍 2
 
1.8%
북구 2
 
1.8%
4층 2
 
1.8%
신천동 2
 
1.8%
달서구 2
 
1.8%
Other values (58) 63
57.3%

도로명우편번호
Real number (ℝ)

Distinct10
Distinct (%)83.3%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean42570.5
Minimum41059
Maximum43004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2023-07-15T22:19:40.095861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41059
5-th percentile41349.4
Q142527.5
median42905
Q342930.25
95-th percentile42983.1
Maximum43004
Range1945
Interquartile range (IQR)402.75

Descriptive statistics

Standard deviation647.8578
Coefficient of variation (CV)0.015218468
Kurtosis1.6765656
Mean42570.5
Median Absolute Deviation (MAD)45
Skewness-1.6691457
Sum510846
Variance419719.73
MonotonicityNot monotonic
2023-07-15T22:19:40.236873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
42905 2
 
8.7%
42929 2
 
8.7%
41059 1
 
4.3%
41587 1
 
4.3%
42037 1
 
4.3%
42691 1
 
4.3%
42966 1
 
4.3%
43004 1
 
4.3%
42900 1
 
4.3%
42934 1
 
4.3%
(Missing) 11
47.8%
ValueCountFrequency (%)
41059 1
4.3%
41587 1
4.3%
42037 1
4.3%
42691 1
4.3%
42900 1
4.3%
42905 2
8.7%
42929 2
8.7%
42934 1
4.3%
42966 1
4.3%
43004 1
4.3%
ValueCountFrequency (%)
43004 1
4.3%
42966 1
4.3%
42934 1
4.3%
42929 2
8.7%
42905 2
8.7%
42900 1
4.3%
42691 1
4.3%
42037 1
4.3%
41587 1
4.3%
41059 1
4.3%

사업장명
Categorical

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
㈜국제지오컨설팅
2 
신화산업개발주식회사
2 
㈜지오익스
 
1
㈜경창지오컨설탄트
 
1
㈜세경
 
1
Other values (16)
16 

Length

Max length10
Median length9
Mean length7.2173913
Min length3

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row㈜지오익스
2nd row범환지오텍(주)
3rd row㈜경창지오컨설탄트
4th row㈜세경
5th row수창개발(주)

Common Values

ValueCountFrequency (%)
㈜국제지오컨설팅 2
 
8.7%
신화산업개발주식회사 2
 
8.7%
㈜지오익스 1
 
4.3%
㈜경창지오컨설탄트 1
 
4.3%
㈜세경 1
 
4.3%
수창개발(주) 1
 
4.3%
창암건설㈜ 1
 
4.3%
원일기술사사무소 1
 
4.3%
주식회사 지원텍 1
 
4.3%
(주)중앙수자원개발 1
 
4.3%
Other values (11) 11
47.8%

Length

2023-07-15T22:19:40.437036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㈜국제지오컨설팅 2
 
8.0%
주식회사 2
 
8.0%
신화산업개발주식회사 2
 
8.0%
주)성수개발 1
 
4.0%
주)용현건설 1
 
4.0%
㈜명성토건 1
 
4.0%
서창이엔지 1
 
4.0%
우림지질(주 1
 
4.0%
나견토건(주 1
 
4.0%
뉴지오텍(주 1
 
4.0%
Other values (12) 12
48.0%

최종수정시점
Categorical

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2011-03-10 15:33:30
 
1
2017-01-13 16:14:32
 
1
2012-07-12 09:39:05
 
1
2013-10-28 15:20:34
 
1
2015-08-11 12:16:32
 
1
Other values (18)
18 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row2011-03-10 15:33:30
2nd row2017-01-13 16:14:32
3rd row2012-07-12 09:39:05
4th row2013-10-28 15:20:34
5th row2015-08-11 12:16:32

Common Values

ValueCountFrequency (%)
2011-03-10 15:33:30 1
 
4.3%
2017-01-13 16:14:32 1
 
4.3%
2012-07-12 09:39:05 1
 
4.3%
2013-10-28 15:20:34 1
 
4.3%
2015-08-11 12:16:32 1
 
4.3%
2022-01-19 15:51:04 1
 
4.3%
2010-04-16 14:16:15 1
 
4.3%
2013-06-11 11:29:33 1
 
4.3%
2021-06-08 15:17:32 1
 
4.3%
2022-02-23 11:47:52 1
 
4.3%
Other values (13) 13
56.5%

Length

2023-07-15T22:19:40.666195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-22 3
 
6.5%
2011-03-10 1
 
2.2%
15:33:30 1
 
2.2%
2019-09-25 1
 
2.2%
10:17:03 1
 
2.2%
2022-02-21 1
 
2.2%
09:44:36 1
 
2.2%
2010-05-03 1
 
2.2%
15:40:00 1
 
2.2%
13:59:03 1
 
2.2%
Other values (34) 34
73.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
I
15 
U
8 

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 15
65.2%
U 8
34.8%

Length

2023-07-15T22:19:40.849428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:41.026454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
i 15
65.2%
u 8
34.8%

데이터갱신일자
Categorical

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size312.0 B
2018-08-31 23:59:59
10 
2021-01-24 00:23:04
2 
2022-01-21 00:22:39
 
1
2021-06-10 02:40:00
 
1
2022-02-25 00:22:37
 
1
Other values (8)
8 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique11 ?
Unique (%)47.8%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2018-08-31 23:59:59
4th row2018-08-31 23:59:59
5th row2018-08-31 23:59:59

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 10
43.5%
2021-01-24 00:23:04 2
 
8.7%
2022-01-21 00:22:39 1
 
4.3%
2021-06-10 02:40:00 1
 
4.3%
2022-02-25 00:22:37 1
 
4.3%
2021-12-31 00:22:51 1
 
4.3%
2019-09-27 02:40:00 1
 
4.3%
2022-02-23 02:40:00 1
 
4.3%
2022-08-25 02:40:00 1
 
4.3%
2020-02-28 02:40:00 1
 
4.3%
Other values (3) 3
 
13.0%

Length

2023-07-15T22:19:41.188413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 10
21.7%
23:59:59 10
21.7%
02:40:00 8
17.4%
2021-01-24 3
 
6.5%
00:23:04 2
 
4.3%
00:22:51 1
 
2.2%
2019-02-21 1
 
2.2%
2020-02-28 1
 
2.2%
2022-08-25 1
 
2.2%
2022-02-23 1
 
2.2%
Other values (8) 8
17.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size335.0 B

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean338986.52
Minimum326126.02
Maximum353834.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2023-07-15T22:19:41.384908image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum326126.02
5-th percentile326126.02
Q1334800.35
median339000.59
Q3346018.98
95-th percentile348332.56
Maximum353834.52
Range27708.503
Interquartile range (IQR)11218.632

Descriptive statistics

Standard deviation8293.9126
Coefficient of variation (CV)0.024466792
Kurtosis-1.0275384
Mean338986.52
Median Absolute Deviation (MAD)6528.084
Skewness-0.19121186
Sum7457703.4
Variance68788987
MonotonicityNot monotonic
2023-07-15T22:19:41.572858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
326126.020933788 3
 
13.0%
335091.359493485 2
 
8.7%
334703.341974345 1
 
4.3%
347127.396363367 1
 
4.3%
346509.281837482 1
 
4.3%
343857.119505971 1
 
4.3%
343680.311177891 1
 
4.3%
344222.852054765 1
 
4.3%
348355.260749057 1
 
4.3%
347901.216988259 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
326126.020933788 3
13.0%
327254.926809402 1
 
4.3%
330659.113916432 1
 
4.3%
334703.341974345 1
 
4.3%
335091.359493485 2
8.7%
335607.850667804 1
 
4.3%
336278.478986687 1
 
4.3%
338192.33783094 1
 
4.3%
339808.842262794 1
 
4.3%
343680.311177891 1
 
4.3%
ValueCountFrequency (%)
353834.52435443 1
4.3%
348355.260749057 1
4.3%
347901.216988259 1
4.3%
347127.396363367 1
4.3%
346601.694981877 1
4.3%
346509.281837482 1
4.3%
344548.066275271 1
4.3%
344222.852054765 1
4.3%
343857.119505971 1
4.3%
343680.311177891 1
4.3%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean261975.67
Minimum244379.82
Maximum270252.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2023-07-15T22:19:42.264222image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum244379.82
5-th percentile256671.06
Q1258856.97
median264094.23
Q3264650.52
95-th percentile266641.58
Maximum270252.6
Range25872.781
Interquartile range (IQR)5793.5577

Descriptive statistics

Standard deviation5356.1282
Coefficient of variation (CV)0.020445136
Kurtosis4.5996932
Mean261975.67
Median Absolute Deviation (MAD)1249.0286
Skewness-1.7717886
Sum5763464.8
Variance28688109
MonotonicityNot monotonic
2023-07-15T22:19:42.703706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
264094.226270191 3
 
13.0%
264527.918012412 2
 
8.7%
256670.659941703 1
 
4.3%
264691.391836171 1
 
4.3%
264333.566504913 1
 
4.3%
262989.317771567 1
 
4.3%
265487.375030167 1
 
4.3%
270252.600221565 1
 
4.3%
263226.548189882 1
 
4.3%
264805.176172915 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
244379.819416086 1
4.3%
256670.659941703 1
4.3%
256678.726194443 1
4.3%
256712.422468265 1
4.3%
256941.545137521 1
4.3%
258039.194106827 1
4.3%
261310.280535697 1
4.3%
262989.317771567 1
4.3%
263226.548189882 1
4.3%
263409.635353496 1
4.3%
ValueCountFrequency (%)
270252.600221565 1
 
4.3%
266701.867995529 1
 
4.3%
265496.191813374 1
 
4.3%
265487.375030167 1
 
4.3%
264805.176172915 1
 
4.3%
264691.391836171 1
 
4.3%
264527.918012412 2
8.7%
264333.566504913 1
 
4.3%
264094.226270191 3
13.0%
263409.635353496 1
 
4.3%

전문인력총수
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
3
13 
4
6 
5
2 
6
 
1
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row4
2nd row5
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 13
56.5%
4 6
26.1%
5 2
 
8.7%
6 1
 
4.3%
0 1
 
4.3%

Length

2023-07-15T22:19:43.343901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:43.658000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 13
56.5%
4 6
26.1%
5 2
 
8.7%
6 1
 
4.3%
0 1
 
4.3%

자본금
Categorical

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
0
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
100.0%

Length

2023-07-15T22:19:43.926364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:44.162328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

시설장비
Categorical

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Memory size312.0 B
1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도 측정기 1
2 
1. 수위측정기 1대 2. Ph측정기 1대 3. 수온측정기 1대 4. 전기전도도측정기 1대
2 
지하수위측정기 (심도250M) 1대 전기전도도 측정기(HI-8033) 1대 PH농도측정기(HI-8424) 1대 수온측정기(HI-8424) 1대
2 
수위측정기 1대 pH,수온,EC측정기 1대
 
1
1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도측정기 1
 
1
Other values (14)
14 

Length

Max length79
Median length46.5
Mean length42.409091
Min length19

Unique

Unique16 ?
Unique (%)72.7%

Sample

1st row1. 수위측정기 1대 2. Ph측정기 1대 3. DO측정기 1대 4. 전기전도도측정기 1대
2nd row수위측정장비1대,수소이온농도측정기1대 수온측정기1대,전기전도도측정기1대
3rd row1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도 측정기 1
4th row1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도 측정기 1
5th row1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도측정기 1

Common Values

ValueCountFrequency (%)
1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도 측정기 1 2
 
8.7%
1. 수위측정기 1대 2. Ph측정기 1대 3. 수온측정기 1대 4. 전기전도도측정기 1대 2
 
8.7%
지하수위측정기 (심도250M) 1대 전기전도도 측정기(HI-8033) 1대 PH농도측정기(HI-8424) 1대 수온측정기(HI-8424) 1대 2
 
8.7%
수위측정기 1대 pH,수온,EC측정기 1대 1
 
4.3%
1. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도측정기 1 1
 
4.3%
1. 수위측정기 1 2. PH측정기 1 3. 전기전도도 측정기 1
 
4.3%
수위측정기1, Ph측정기1, 수온측정기1, 전기전도도측정기1, 착정기1 1
 
4.3%
지하수수위계 2대 PH측정기 수온계 전기전도도계 1
 
4.3%
수질측정기(HANNA-HI9813-6)(수온,pH, 전기전도도) 수위측정기(RICHITER NO.26) 1
 
4.3%
수위측정장비1대,수소이온농도측정기1대 수온측정기1대,전기전도도측정기1대 1
 
4.3%
Other values (9) 9
39.1%

Length

2023-07-15T22:19:44.369747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1대 24
 
14.3%
1 21
 
12.5%
수위측정기 11
 
6.5%
ph측정기 9
 
5.4%
전기전도도 7
 
4.2%
2 7
 
4.2%
3 7
 
4.2%
측정기 6
 
3.6%
4 6
 
3.6%
수온 5
 
3.0%
Other values (45) 65
38.7%

타기관이전여부
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size312.0 B
0
17 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 17
73.9%
1 6
 
26.1%

Length

2023-07-15T22:19:44.635496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:19:44.905383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 17
73.9%
1 6
 
26.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
01지하수영향조사기관09_29_02_P3410000S001747110006648L002006-06-022011-03-103폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 55-68번지 대구맨션 A동 C호대구광역시 중구 명륜로 154, A동 C호 (대봉동,대구맨션)<NA>㈜지오익스2011-03-10 15:33:30I2018-08-31 23:59:59<NA>344548.066275263409.635353401. 수위측정기 1대 2. Ph측정기 1대 3. DO측정기 1대 4. 전기전도도측정기 1대0
12지하수영향조사기관09_29_02_P3420000S001760110053360L002009-06-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 상매동 521-2번지대구광역시 동구 율암로 149-6 (상매동)41059범환지오텍(주)2017-01-13 16:14:32I2018-08-31 23:59:59<NA>353834.524354266701.86799650수위측정장비1대,수소이온농도측정기1대 수온측정기1대,전기전도도측정기1대0
23지하수영향조사기관09_29_02_P3420000S001748110011934L001999-09-022012-07-093폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 366-6번지대구광역시 동구 화랑로9길 61 (신천동)<NA>㈜경창지오컨설탄트2012-07-12 09:39:05I2018-08-31 23:59:59<NA>347127.396363264691.391836301. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도 측정기 10
34지하수영향조사기관09_29_02_P3420000S001748110006638L001997-09-092013-10-253폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 149-31번지 149-31번지 4층대구광역시 동구 장등로 9 (신천동, 149-31번지 4층)<NA>㈜세경2013-10-28 15:20:34I2018-08-31 23:59:59<NA>346509.281837264333.566505401. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도 측정기 10
45지하수영향조사기관09_29_02_P3440000S001714110005300L001999-03-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 2033-28번지대구광역시 남구 명덕로 212-1 (대명동)<NA>수창개발(주)2015-08-11 12:16:32I2018-08-31 23:59:59<NA>343857.119506262989.317772401. 수위측정기 1 2. PH측정기 1 3. 수온측정기 1 4. 전기전도도측정기 11
56지하수영향조사기관09_29_02_P3450000S001744110004474L002010-06-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 칠성동2가 715 대구역 서희스타힐스 상가동 206호대구광역시 북구 칠성남로 101, 상가동 206호 (칠성동2가, 대구역 서희스타힐스)41587신화산업개발주식회사2022-01-19 15:51:04I2022-01-21 00:22:39<NA>343680.311178265487.3750330지하수위측정기 (심도250M) 1대 전기전도도 측정기(HI-8033) 1대 PH농도측정기(HI-8424) 1대 수온측정기(HI-8424) 1대1
67지하수영향조사기관09_29_02_P3450000S001744110000703L001998-02-092010-04-163폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 서변동 1784-3번지대구광역시 북구 호국로43길 8-20 (서변동)<NA>창암건설㈜2010-04-16 14:16:15I2018-08-31 23:59:59<NA>344222.852055270252.600222601. 수위측정기 1 2. PH측정기 1 3. 전기전도도 측정기0
78지하수영향조사기관09_29_02_P3460000S0050245654600000001997-09-232011-08-253폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동2가 15-11번지<NA><NA>원일기술사사무소2013-06-11 11:29:33I2018-08-31 23:59:59<NA><NA><NA>30수위측정기1, Ph측정기1, 수온측정기1, 전기전도도측정기1, 착정기10
89지하수영향조사기관09_29_02_P3460000S001701110456584L002019-12-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 63-25<NA><NA>주식회사 지원텍2021-06-08 15:17:32U2021-06-10 02:40:00<NA>348355.260749263226.5481930지하수수위계 2대 PH측정기 수온계 전기전도도계0
910지하수영향조사기관09_29_02_P3460000S001754110018268L002019-07-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 1380 가인 4층 A호대구광역시 수성구 동원로28길 50, 가인 4층 A호 (만촌동)42037(주)중앙수자원개발2022-02-23 11:47:52I2022-02-25 00:22:37<NA>347901.216988264805.17617330수질측정기(HANNA-HI9813-6)(수온,pH, 전기전도도) 수위측정기(RICHITER NO.26)1
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
1314지하수영향조사기관09_29_02_P3480000S002001110345178L002022-02-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 봉촌리 991-2대구광역시 달성군 하빈면 하빈남로 504-3442905지기토건(주)2022-02-21 09:44:36U2022-02-23 02:40:00<NA>326126.020934264094.2262730지하수위측정장비, 수소이온농도, 수온, 전기전도도측정장비0
1415지하수영향조사기관09_29_02_P3480000S0051315785410000002009-08-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 837-3번지<NA><NA>하진개발2010-05-03 15:40:00I2018-08-31 23:59:59<NA>335607.850668256712.42246840수위측정기, PH측정기, EC측정기0
1516지하수영향조사기관09_29_02_P3480000S001752110054050L002020-04-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 126-1대구광역시 달성군 다사읍 서재본길 5, 3층42929뉴지오텍(주)2021-01-22 13:59:03I2021-01-24 00:23:04<NA>335091.359493264527.918012301.지하수 수위측정기 장비(대수성시험) 2.수소이온농도(pH), 수온, 전기전도도(EC)측정장비 [모델명 HI-9813-6]0
1617지하수영향조사기관09_29_02_P3480000S001744110004474L002010-06-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 원교리 163-18대구광역시 달성군 현풍읍 비슬로 57643004신화산업개발주식회사2021-01-22 13:51:25I2021-01-24 00:23:04<NA>330659.113916244379.81941630지하수위측정기 (심도250M) 1대 전기전도도 측정기(HI-8033) 1대 PH농도측정기(HI-8424) 1대 수온측정기(HI-8424) 1대0
1718지하수영향조사기관09_29_02_P3480000S001715110012725L002017-03-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 하산리 947-286대구광역시 달성군 하빈면 강변대로 2142900나견토건(주)2022-08-23 15:47:24U2022-08-25 02:40:00<NA>327254.926809265496.19181330지하수위측정기 - WL50m 수질측정기 - YK-2001PH0
1819지하수영향조사기관09_29_02_P3480000S001701110347163L002012-01-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 봉촌리 991-2번지대구광역시 달성군 하빈면 하빈남로 504-3442905우림지질(주)2020-02-26 13:45:56U2020-02-28 02:40:00<NA>326126.020934264094.2262730수위측정장비 , pH 및 수온 측정기, 전기전도도측정기0
1920지하수영향조사기관09_29_02_P3480000S001701110217267L002021-01-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 126-1대구광역시 달성군 다사읍 서재본길 5, 3층42929주식회사 서창이엔지2021-01-22 14:48:39U2021-01-24 02:40:00<NA>335091.359493264527.91801230수위측정장비 1대 수소이온농도, 수온, 전기전도도 측정기 1대 등0
2021지하수영향조사기관09_29_02_P3480000S001701110127656L002012-02-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 75번지대구광역시 달성군 가창면 가창로 1094, 3층42934㈜명성토건2019-02-19 17:21:24U2019-02-21 02:40:00<NA>346601.694982256941.54513840수위측정기 1기 Ph, 수온, EC 측정기 1기0
2122지하수영향조사기관09_29_02_P3480000S0029141002680000002020-05-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 봉촌리 991-2번지<NA><NA>우림종합중기2020-05-21 13:14:01U2020-05-23 02:40:00<NA>326126.020934264094.2262730수소이온농도,수온,전기전도도 측정장비0
2223지하수영향조사기관09_29_02_P3480000S001701110060799L001998-04-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 성산리 512-13번지대구광역시 달성군 화원읍 성화로 18<NA>㈜국제지오컨설팅2015-03-12 08:52:44I2018-08-31 23:59:59<NA>334703.341974256670.659942501. 수위측정기 1대 2. Ph측정기 1대 3. 수온측정기 1대 4. 전기전도도측정기 1대1