Overview

Dataset statistics

Number of variables13
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows13
Duplicate rows (%)13.0%
Total size in memory10.6 KiB
Average record size in memory108.3 B

Variable types

Numeric2
Categorical10
Text1

Alerts

주소 has constant value ""Constant
물리검층장비명 has constant value ""Constant
전기탐사결과내용 has constant value ""Constant
Dataset has 13 (13.0%) duplicate rowsDuplicates
지점명 is highly overall correlated with 탐사일 and 4 other fieldsHigh correlation
시군명 is highly overall correlated with 탐사일 and 7 other fieldsHigh correlation
시도명 is highly overall correlated with 탐사일 and 5 other fieldsHigh correlation
분석프로그램명 is highly overall correlated with 탐사일 and 5 other fieldsHigh correlation
측점개수 is highly overall correlated with 탐사일 and 7 other fieldsHigh correlation
읍면동명 is highly overall correlated with 탐사일 and 7 other fieldsHigh correlation
지층내용 is highly overall correlated with 탐사일 and 4 other fieldsHigh correlation
탐사일 is highly overall correlated with 법정동코드 and 7 other fieldsHigh correlation
법정동코드 is highly overall correlated with 탐사일 and 5 other fieldsHigh correlation
지점명 is highly imbalanced (80.6%)Imbalance
지층내용 is highly imbalanced (80.6%)Imbalance

Reproduction

Analysis started2023-12-10 13:19:22.831343
Analysis finished2023-12-10 13:19:25.242708
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

탐사일
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190344
Minimum20190218
Maximum20190516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:19:25.315810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190218
5-th percentile20190218
Q120190220
median20190224
Q320190516
95-th percentile20190516
Maximum20190516
Range298
Interquartile range (IQR)296

Descriptive statistics

Standard deviation144.31344
Coefficient of variation (CV)7.1476464 × 10-6
Kurtosis-1.8958281
Mean20190344
Median Absolute Deviation (MAD)6
Skewness0.34561866
Sum2.0190344 × 109
Variance20826.37
MonotonicityIncreasing
2023-12-10T22:19:25.490997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20190516 27
27.0%
20190515 14
14.0%
20190218 9
 
9.0%
20190219 9
 
9.0%
20190220 8
 
8.0%
20190222 8
 
8.0%
20190223 8
 
8.0%
20190221 7
 
7.0%
20190224 7
 
7.0%
20190306 2
 
2.0%
ValueCountFrequency (%)
20190218 9
9.0%
20190219 9
9.0%
20190220 8
8.0%
20190221 7
7.0%
20190222 8
8.0%
20190223 8
8.0%
20190224 7
7.0%
20190306 2
 
2.0%
20190307 1
 
1.0%
20190515 14
14.0%
ValueCountFrequency (%)
20190516 27
27.0%
20190515 14
14.0%
20190307 1
 
1.0%
20190306 2
 
2.0%
20190224 7
 
7.0%
20190223 8
 
8.0%
20190222 8
 
8.0%
20190221 7
 
7.0%
20190220 8
 
8.0%
20190219 9
 
9.0%

지점명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전기비저항탐사
97 
청양
 
3

Length

Max length7
Median length7
Mean length6.85
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기비저항탐사 97
97.0%
청양 3
 
3.0%

Length

2023-12-10T22:19:25.718471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:26.005002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기비저항탐사 97
97.0%
청양 3
 
3.0%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5959141 × 109
Minimum4.471025 × 109
Maximum4.775037 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:19:26.211390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.471025 × 109
5-th percentile4.471031 × 109
Q14.471035 × 109
median4.471039 × 109
Q34.775033 × 109
95-th percentile4.775037 × 109
Maximum4.775037 × 109
Range3.0401203 × 108
Interquartile range (IQR)3.0399801 × 108

Descriptive statistics

Standard deviation1.5007533 × 108
Coefficient of variation (CV)0.032654076
Kurtosis-1.9002016
Mean4.5959141 × 109
Median Absolute Deviation (MAD)7500
Skewness0.37132619
Sum4.5959141 × 1011
Variance2.2522604 × 1016
MonotonicityNot monotonic
2023-12-10T22:19:26.435839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4471036021 3
 
3.0%
4775032038 3
 
3.0%
4479025025 3
 
3.0%
4471035028 2
 
2.0%
4471037033 2
 
2.0%
4471038024 2
 
2.0%
4471025029 2
 
2.0%
4471036023 2
 
2.0%
4471034029 2
 
2.0%
4471034021 2
 
2.0%
Other values (72) 77
77.0%
ValueCountFrequency (%)
4471025021 1
1.0%
4471025022 1
1.0%
4471025029 2
2.0%
4471031026 1
1.0%
4471031027 1
1.0%
4471032021 1
1.0%
4471032022 1
1.0%
4471032023 2
2.0%
4471032024 1
1.0%
4471032025 1
1.0%
ValueCountFrequency (%)
4775037049 1
1.0%
4775037047 1
1.0%
4775037045 1
1.0%
4775037044 1
1.0%
4775037043 1
1.0%
4775037042 1
1.0%
4775036041 1
1.0%
4775036040 1
1.0%
4775036036 1
1.0%
4775036035 2
2.0%

시도명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충청남도
59 
경상북도
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 59
59.0%
경상북도 41
41.0%

Length

2023-12-10T22:19:26.749948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:26.895426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 59
59.0%
경상북도 41
41.0%

시군명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
금산군
56 
청송군
41 
청양군
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금산군 56
56.0%
청송군 41
41.0%
청양군 3
 
3.0%

Length

2023-12-10T22:19:27.075114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:27.246792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금산군 56
56.0%
청송군 41
41.0%
청양군 3
 
3.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남이면
10 
군북면
9 
추부면
8 
남일면
7 
부남면
7 
Other values (14)
59 

Length

Max length4
Median length3
Mean length3.05
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row남일면
2nd row제원면
3rd row제원면
4th row부리면
5th row금산읍

Common Values

ValueCountFrequency (%)
남이면 10
 
10.0%
군북면 9
 
9.0%
추부면 8
 
8.0%
남일면 7
 
7.0%
부남면 7
 
7.0%
제원면 6
 
6.0%
진보면 6
 
6.0%
파천면 6
 
6.0%
안덕면 6
 
6.0%
주왕산면 5
 
5.0%
Other values (9) 30
30.0%

Length

2023-12-10T22:19:27.440533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남이면 10
 
10.0%
군북면 9
 
9.0%
추부면 8
 
8.0%
남일면 7
 
7.0%
부남면 7
 
7.0%
제원면 6
 
6.0%
진보면 6
 
6.0%
파천면 6
 
6.0%
안덕면 6
 
6.0%
현서면 5
 
5.0%
Other values (9) 30
30.0%

리명
Text

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:19:27.866670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.98
Min length2

Characters and Unicode

Total characters298
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)65.0%

Sample

1st row음대리
2nd row명암리
3rd row수당리
4th row창평리
5th row신대리
ValueCountFrequency (%)
적누리 3
 
3.0%
양숙리 3
 
3.0%
하금리 3
 
3.0%
역평리 2
 
2.0%
음지리 2
 
2.0%
막현리 2
 
2.0%
수영리 2
 
2.0%
건천리 2
 
2.0%
상곡리 2
 
2.0%
음대리 2
 
2.0%
Other values (71) 77
77.0%
2023-12-10T22:19:28.552142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 100
33.6%
대 9
 
3.0%
신 9
 
3.0%
천 8
 
2.7%
지 6
 
2.0%
하 6
 
2.0%
평 5
 
1.7%
양 5
 
1.7%
덕 5
 
1.7%
부 5
 
1.7%
Other values (81) 140
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 100
33.6%
대 9
 
3.0%
신 9
 
3.0%
천 8
 
2.7%
지 6
 
2.0%
하 6
 
2.0%
평 5
 
1.7%
양 5
 
1.7%
덕 5
 
1.7%
부 5
 
1.7%
Other values (81) 140
47.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 100
33.6%
대 9
 
3.0%
신 9
 
3.0%
천 8
 
2.7%
지 6
 
2.0%
하 6
 
2.0%
평 5
 
1.7%
양 5
 
1.7%
덕 5
 
1.7%
부 5
 
1.7%
Other values (81) 140
47.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 100
33.6%
대 9
 
3.0%
신 9
 
3.0%
천 8
 
2.7%
지 6
 
2.0%
하 6
 
2.0%
평 5
 
1.7%
양 5
 
1.7%
덕 5
 
1.7%
부 5
 
1.7%
Other values (81) 140
47.0%

주소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
***
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row***
2nd row***
3rd row***
4th row***
5th row***

Common Values

ValueCountFrequency (%)
*** 100
100.0%

Length

2023-12-10T22:19:28.756916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:28.906297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100
100.0%

물리검층장비명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ABEM SAS 4000
100 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowABEM SAS 4000
2nd rowABEM SAS 4000
3rd rowABEM SAS 4000
4th rowABEM SAS 4000
5th rowABEM SAS 4000

Common Values

ValueCountFrequency (%)
ABEM SAS 4000 100
100.0%

Length

2023-12-10T22:19:29.099123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:29.358924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
abem 100
33.3%
sas 100
33.3%
4000 100
33.3%

분석프로그램명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ESII v.0.91
59 
SoundPro for Windows Ver.1.0
41 

Length

Max length28
Median length11
Mean length17.97
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowESII v.0.91
2nd rowESII v.0.91
3rd rowESII v.0.91
4th rowESII v.0.91
5th rowESII v.0.91

Common Values

ValueCountFrequency (%)
ESII v.0.91 59
59.0%
SoundPro for Windows Ver.1.0 41
41.0%

Length

2023-12-10T22:19:29.602593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:29.765719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
esii 59
20.9%
v.0.91 59
20.9%
soundpro 41
14.5%
for 41
14.5%
windows 41
14.5%
ver.1.0 41
14.5%

전기탐사결과내용
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충적 풍화대 암반순으로 분포
100 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충적 풍화대 암반순으로 분포
2nd row충적 풍화대 암반순으로 분포
3rd row충적 풍화대 암반순으로 분포
4th row충적 풍화대 암반순으로 분포
5th row충적 풍화대 암반순으로 분포

Common Values

ValueCountFrequency (%)
충적 풍화대 암반순으로 분포 100
100.0%

Length

2023-12-10T22:19:29.919824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:30.061139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충적 100
25.0%
풍화대 100
25.0%
암반순으로 100
25.0%
분포 100
25.0%

측점개수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
13
56 
11
41 
24
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 56
56.0%
11 41
41.0%
24 3
 
3.0%

Length

2023-12-10T22:19:30.224091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:30.371990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 56
56.0%
11 41
41.0%
24 3
 
3.0%

지층내용
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충적층
97 
변성암
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충적층 97
97.0%
변성암 3
 
3.0%

Length

2023-12-10T22:19:30.545368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:19:30.694020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충적층 97
97.0%
변성암 3
 
3.0%

Interactions

2023-12-10T22:19:24.268868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:19:23.924974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:19:24.439192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:19:24.062497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:19:30.802480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
탐사일지점명법정동코드시도명시군명읍면동명리명분석프로그램명측점개수지층내용
탐사일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지점명1.0001.0000.0000.0001.0001.0001.0000.0001.0000.963
법정동코드1.0000.0001.0000.9991.0001.0001.0000.9991.0000.000
시도명1.0000.0000.9991.0001.0001.0001.0000.9991.0000.000
시군명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
읍면동명1.0001.0001.0001.0001.0001.0000.9991.0001.0001.000
리명1.0001.0001.0001.0001.0000.9991.0001.0001.0001.000
분석프로그램명1.0000.0000.9990.9991.0001.0001.0001.0001.0000.000
측점개수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지층내용1.0000.9630.0000.0001.0001.0001.0000.0001.0001.000
2023-12-10T22:19:31.036178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지점명시군명시도명분석프로그램명측점개수읍면동명지층내용
지점명1.0000.9950.0000.0000.9950.9090.826
시군명0.9951.0000.9950.9951.0000.9140.995
시도명0.0000.9951.0000.9790.9950.9090.000
분석프로그램명0.0000.9950.9791.0000.9950.9090.000
측점개수0.9951.0000.9950.9951.0000.9140.995
읍면동명0.9090.9140.9090.9090.9141.0000.909
지층내용0.8260.9950.0000.0000.9950.9091.000
2023-12-10T22:19:31.297076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
탐사일법정동코드지점명시도명시군명읍면동명분석프로그램명측점개수지층내용
탐사일1.0000.8150.9950.9951.0000.9140.9951.0000.995
법정동코드0.8151.0000.0000.9790.9950.9090.9790.9950.000
지점명0.9950.0001.0000.0000.9950.9090.0000.9950.826
시도명0.9950.9790.0001.0000.9950.9090.9790.9950.000
시군명1.0000.9950.9950.9951.0000.9140.9951.0000.995
읍면동명0.9140.9090.9090.9090.9141.0000.9090.9140.909
분석프로그램명0.9950.9790.0000.9790.9950.9091.0000.9950.000
측점개수1.0000.9950.9950.9951.0000.9140.9951.0000.995
지층내용0.9950.0000.8260.0000.9950.9090.0000.9951.000

Missing values

2023-12-10T22:19:24.770755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:19:25.142503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

탐사일지점명법정동코드시도명시군명읍면동명리명주소물리검층장비명분석프로그램명전기탐사결과내용측점개수지층내용
020190218전기비저항탐사4471035028충청남도금산군남일면음대리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
120190218전기비저항탐사4471032022충청남도금산군제원면명암리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
220190218전기비저항탐사4471032023충청남도금산군제원면수당리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
320190218전기비저항탐사4471033021충청남도금산군부리면창평리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
420190218전기비저항탐사4471025021충청남도금산군금산읍신대리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
520190218전기비저항탐사4471035021충청남도금산군남일면황풍리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
620190218전기비저항탐사4471035023충청남도금산군남일면상동리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
720190218전기비저항탐사4471035023충청남도금산군남일면상동리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
820190218전기비저항탐사4471035025충청남도금산군남일면덕천리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
920190219전기비저항탐사4471036024충청남도금산군남이면역평리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층
탐사일지점명법정동코드시도명시군명읍면동명리명주소물리검층장비명분석프로그램명전기탐사결과내용측점개수지층내용
9020190516전기비저항탐사4775033032경상북도청송군현동면개일리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9120190516전기비저항탐사4775033033경상북도청송군현동면창양리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9220190516전기비저항탐사4775033034경상북도청송군현동면인지리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9320190516전기비저항탐사4775035035경상북도청송군안덕면장전리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9420190516전기비저항탐사4775035037경상북도청송군안덕면신성리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9520190516전기비저항탐사4775035038경상북도청송군안덕면근곡리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9620190516전기비저항탐사4775035039경상북도청송군안덕면노래리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9720190516전기비저항탐사4775035042경상북도청송군안덕면복리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9820190516전기비저항탐사4775035043경상북도청송군안덕면덕성리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층
9920190516전기비저항탐사4775034045경상북도청송군현서면덕계리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층

Duplicate rows

Most frequently occurring

탐사일지점명법정동코드시도명시군명읍면동명리명주소물리검층장비명분석프로그램명전기탐사결과내용측점개수지층내용# duplicates
120190219전기비저항탐사4471036021충청남도금산군남이면하금리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층3
1220190516전기비저항탐사4775032038경상북도청송군부남면양숙리***ABEM SAS 4000SoundPro for Windows Ver.1.0충적 풍화대 암반순으로 분포11충적층3
020190218전기비저항탐사4471035023충청남도금산군남일면상동리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
220190219전기비저항탐사4471036024충청남도금산군남이면역평리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
320190220전기비저항탐사4471025029충청남도금산군금산읍음지리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
420190220전기비저항탐사4471034021충청남도금산군군북면호티리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
520190222전기비저항탐사4471039030충청남도금산군추부면서대리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
620190223전기비저항탐사4471037033충청남도금산군진산면막현리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
720190223전기비저항탐사4471038024충청남도금산군복수면수영리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2
820190224전기비저항탐사4471034029충청남도금산군군북면상곡리***ABEM SAS 4000ESII v.0.91충적 풍화대 암반순으로 분포13충적층2