Overview

Dataset statistics

Number of variables23
Number of observations179
Missing cells95
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.3 KiB
Average record size in memory201.7 B

Variable types

Numeric16
Text2
Categorical4
DateTime1

Dataset

Description경상북도 구미시 저수지 현황 데이터로 저수지명, 주소, 유역면적, 수혜면적 등의 저수지 제원 데이터를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15020651/fileData.do

Alerts

사통_취수공(공) has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
종별 is highly imbalanced (95.0%)Imbalance
여수토_높이(m) has 7 (3.9%) missing valuesMissing
여수토_폭(m) has 6 (3.4%) missing valuesMissing
방수로_폭(m) has 40 (22.3%) missing valuesMissing
방수로_길이(m) has 39 (21.8%) missing valuesMissing
연번 has unique valuesUnique
주소지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:00:27.057411
Analysis finished2023-12-12 04:00:27.770554
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90
Minimum1
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:27.849696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q145.5
median90
Q3134.5
95-th percentile170.1
Maximum179
Range178
Interquartile range (IQR)89

Descriptive statistics

Standard deviation51.816986
Coefficient of variation (CV)0.57574428
Kurtosis-1.2
Mean90
Median Absolute Deviation (MAD)45
Skewness0
Sum16110
Variance2685
MonotonicityStrictly increasing
2023-12-12T13:00:28.011216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
114 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
Other values (169) 169
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%

저수지명
Text

Distinct170
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:00:28.417553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.301676
Min length2

Characters and Unicode

Total characters591
Distinct characters140
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)90.5%

Sample

1st row산막지
2nd row점곡지
3rd row못두들지
4th row송림지
5th row도장지
ValueCountFrequency (%)
신기지 3
 
1.7%
대곡지 2
 
1.1%
갈곡2지 2
 
1.1%
부곡지 2
 
1.1%
동산지 2
 
1.1%
갈곡지 2
 
1.1%
장자지 2
 
1.1%
금산지 2
 
1.1%
산성지 1
 
0.6%
천생지 1
 
0.6%
Other values (160) 160
89.4%
2023-12-12T13:00:29.019451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 186
31.5%
곡 38
 
6.4%
산 16
 
2.7%
동 14
 
2.4%
수 11
 
1.9%
골 11
 
1.9%
송 9
 
1.5%
정 9
 
1.5%
실 8
 
1.4%
2 7
 
1.2%
Other values (130) 282
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
96.1%
Decimal Number 11
 
1.9%
Open Punctuation 6
 
1.0%
Close Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 186
32.7%
곡 38
 
6.7%
산 16
 
2.8%
동 14
 
2.5%
수 11
 
1.9%
골 11
 
1.9%
송 9
 
1.6%
정 9
 
1.6%
실 8
 
1.4%
오 7
 
1.2%
Other values (126) 259
45.6%
Decimal Number
ValueCountFrequency (%)
2 7
63.6%
1 4
36.4%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
96.1%
Common 23
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 186
32.7%
곡 38
 
6.7%
산 16
 
2.8%
동 14
 
2.5%
수 11
 
1.9%
골 11
 
1.9%
송 9
 
1.6%
정 9
 
1.6%
실 8
 
1.4%
오 7
 
1.2%
Other values (126) 259
45.6%
Common
ValueCountFrequency (%)
2 7
30.4%
( 6
26.1%
) 6
26.1%
1 4
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
96.1%
ASCII 23
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 186
32.7%
곡 38
 
6.7%
산 16
 
2.8%
동 14
 
2.5%
수 11
 
1.9%
골 11
 
1.9%
송 9
 
1.6%
정 9
 
1.6%
실 8
 
1.4%
오 7
 
1.2%
Other values (126) 259
45.6%
ASCII
ValueCountFrequency (%)
2 7
30.4%
( 6
26.1%
) 6
26.1%
1 4
17.4%

주소지
Text

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:00:29.421276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length20.01676
Min length9

Characters and Unicode

Total characters3583
Distinct characters98
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)100.0%

Sample

1st row경상북도 구미시 고아읍 파산리 415-5
2nd row경상북도 구미시 고아읍 대망리 751
3rd row경상북도 구미시 고아읍 대망리 659
4th row경상북도 구미시 고아읍 송림리 367-1
5th row경상북도 구미시 고아읍 외예리 산32임
ValueCountFrequency (%)
경상북도 179
20.4%
구미시 179
20.4%
장천면 45
 
5.1%
무을면 28
 
3.2%
산동읍 23
 
2.6%
도개면 21
 
2.4%
고아읍 14
 
1.6%
선산읍 11
 
1.3%
해평면 11
 
1.3%
옥성면 11
 
1.3%
Other values (238) 356
40.5%
2023-12-12T13:00:30.016579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
701
19.6%
도 207
 
5.8%
상 194
 
5.4%
북 180
 
5.0%
경 179
 
5.0%
구 179
 
5.0%
미 179
 
5.0%
시 179
 
5.0%
리 164
 
4.6%
면 116
 
3.2%
Other values (88) 1305
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2291
63.9%
Space Separator 701
 
19.6%
Decimal Number 549
 
15.3%
Dash Punctuation 40
 
1.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 207
 
9.0%
상 194
 
8.5%
북 180
 
7.9%
경 179
 
7.8%
구 179
 
7.8%
미 179
 
7.8%
시 179
 
7.8%
리 164
 
7.2%
면 116
 
5.1%
산 73
 
3.2%
Other values (74) 641
28.0%
Decimal Number
ValueCountFrequency (%)
1 104
18.9%
2 71
12.9%
5 63
11.5%
3 53
9.7%
7 53
9.7%
4 52
9.5%
0 42
7.7%
8 41
 
7.5%
6 36
 
6.6%
9 34
 
6.2%
Space Separator
ValueCountFrequency (%)
701
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2291
63.9%
Common 1292
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 207
 
9.0%
상 194
 
8.5%
북 180
 
7.9%
경 179
 
7.8%
구 179
 
7.8%
미 179
 
7.8%
시 179
 
7.8%
리 164
 
7.2%
면 116
 
5.1%
산 73
 
3.2%
Other values (74) 641
28.0%
Common
ValueCountFrequency (%)
701
54.3%
1 104
 
8.0%
2 71
 
5.5%
5 63
 
4.9%
3 53
 
4.1%
7 53
 
4.1%
4 52
 
4.0%
0 42
 
3.3%
8 41
 
3.2%
- 40
 
3.1%
Other values (4) 72
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2291
63.9%
ASCII 1292
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
701
54.3%
1 104
 
8.0%
2 71
 
5.5%
5 63
 
4.9%
3 53
 
4.1%
7 53
 
4.1%
4 52
 
4.0%
0 42
 
3.3%
8 41
 
3.2%
- 40
 
3.1%
Other values (4) 72
 
5.6%
Hangul
ValueCountFrequency (%)
도 207
 
9.0%
상 194
 
8.5%
북 180
 
7.9%
경 179
 
7.8%
구 179
 
7.8%
미 179
 
7.8%
시 179
 
7.8%
리 164
 
7.2%
면 116
 
5.1%
산 73
 
3.2%
Other values (74) 641
28.0%

유역면적(ha)
Real number (ℝ)

Distinct102
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.512849
Minimum1
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:30.209087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q116
median37
Q370.5
95-th percentile222.4
Maximum370
Range369
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation66.145535
Coefficient of variation (CV)1.1114496
Kurtosis4.3699693
Mean59.512849
Median Absolute Deviation (MAD)24
Skewness2.0581296
Sum10652.8
Variance4375.2318
MonotonicityNot monotonic
2023-12-12T13:00:30.384841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.0 5
 
2.8%
9.0 5
 
2.8%
13.0 5
 
2.8%
36.0 4
 
2.2%
12.0 4
 
2.2%
60.0 4
 
2.2%
31.0 4
 
2.2%
5.0 4
 
2.2%
15.0 4
 
2.2%
6.0 4
 
2.2%
Other values (92) 136
76.0%
ValueCountFrequency (%)
1.0 1
 
0.6%
3.0 1
 
0.6%
4.0 3
1.7%
5.0 4
2.2%
6.0 4
2.2%
7.0 2
 
1.1%
7.5 1
 
0.6%
8.0 2
 
1.1%
9.0 5
2.8%
10.0 3
1.7%
ValueCountFrequency (%)
370.0 1
0.6%
287.0 1
0.6%
280.0 1
0.6%
266.0 1
0.6%
250.0 1
0.6%
246.0 1
0.6%
231.0 1
0.6%
230.0 1
0.6%
226.0 1
0.6%
222.0 1
0.6%

수혜면적(ha)
Real number (ℝ)

Distinct88
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8296089
Minimum0.3
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:30.560583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile1
Q12.7
median4.4
Q38.9
95-th percentile19.01
Maximum58
Range57.7
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation7.0568451
Coefficient of variation (CV)1.0332722
Kurtosis18.314343
Mean6.8296089
Median Absolute Deviation (MAD)2.4
Skewness3.4370294
Sum1222.5
Variance49.799062
MonotonicityNot monotonic
2023-12-12T13:00:30.714836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 12
 
6.7%
3.0 10
 
5.6%
1.0 9
 
5.0%
4.0 8
 
4.5%
3.3 5
 
2.8%
10.0 4
 
2.2%
6.2 4
 
2.2%
3.5 4
 
2.2%
2.6 3
 
1.7%
8.8 3
 
1.7%
Other values (78) 117
65.4%
ValueCountFrequency (%)
0.3 1
 
0.6%
0.5 1
 
0.6%
0.6 1
 
0.6%
0.7 1
 
0.6%
0.9 2
 
1.1%
1.0 9
5.0%
1.1 1
 
0.6%
1.2 2
 
1.1%
1.3 1
 
0.6%
1.5 2
 
1.1%
ValueCountFrequency (%)
58.0 1
0.6%
41.3 1
0.6%
32.0 1
0.6%
25.0 2
1.1%
20.0 1
0.6%
19.4 1
0.6%
19.1 2
1.1%
19.0 1
0.6%
17.9 1
0.6%
16.0 2
1.1%

만수면적(ha)
Real number (ℝ)

Distinct31
Distinct (%)17.4%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.0325843
Minimum0.1
Maximum7.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:30.829546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.2
95-th percentile2.7
Maximum7.8
Range7.7
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation1.0697458
Coefficient of variation (CV)1.0359888
Kurtosis14.642099
Mean1.0325843
Median Absolute Deviation (MAD)0.3
Skewness3.2954835
Sum183.8
Variance1.144356
MonotonicityNot monotonic
2023-12-12T13:00:30.942524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.3 17
 
9.5%
0.4 17
 
9.5%
0.5 17
 
9.5%
1.0 17
 
9.5%
0.7 16
 
8.9%
0.6 11
 
6.1%
0.2 11
 
6.1%
1.2 9
 
5.0%
0.8 8
 
4.5%
1.1 7
 
3.9%
Other values (21) 48
26.8%
ValueCountFrequency (%)
0.1 5
 
2.8%
0.2 11
6.1%
0.3 17
9.5%
0.4 17
9.5%
0.5 17
9.5%
0.6 11
6.1%
0.7 16
8.9%
0.8 8
4.5%
0.9 5
 
2.8%
1.0 17
9.5%
ValueCountFrequency (%)
7.8 1
 
0.6%
6.8 1
 
0.6%
5.3 1
 
0.6%
4.5 2
1.1%
3.5 1
 
0.6%
3.1 1
 
0.6%
3.0 1
 
0.6%
2.7 3
1.7%
2.5 3
1.7%
2.3 1
 
0.6%

홍수량(m3-sec)
Real number (ℝ)

Distinct100
Distinct (%)56.2%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean10.552809
Minimum0.6
Maximum61.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:31.068610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.27
Q13.2
median6.5
Q312.375
95-th percentile38.66
Maximum61.2
Range60.6
Interquartile range (IQR)9.175

Descriptive statistics

Standard deviation11.624216
Coefficient of variation (CV)1.1015281
Kurtosis5.2386638
Mean10.552809
Median Absolute Deviation (MAD)4
Skewness2.2643953
Sum1878.4
Variance135.12239
MonotonicityNot monotonic
2023-12-12T13:00:31.188910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.3 8
 
4.5%
3.2 7
 
3.9%
6.4 6
 
3.4%
8.1 5
 
2.8%
1.9 5
 
2.8%
4.3 5
 
2.8%
2.1 4
 
2.2%
6.6 4
 
2.2%
5.1 4
 
2.2%
1.5 3
 
1.7%
Other values (90) 127
70.9%
ValueCountFrequency (%)
0.6 2
1.1%
0.7 1
 
0.6%
0.9 2
1.1%
1.0 1
 
0.6%
1.1 3
1.7%
1.3 1
 
0.6%
1.5 3
1.7%
1.6 1
 
0.6%
1.7 3
1.7%
1.8 1
 
0.6%
ValueCountFrequency (%)
61.2 1
0.6%
56.7 1
0.6%
52.5 1
0.6%
52.0 1
0.6%
47.4 1
0.6%
43.1 1
0.6%
42.9 1
0.6%
42.3 1
0.6%
39.0 1
0.6%
38.6 1
0.6%

계획저수량(천톤)
Real number (ℝ)

Distinct170
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.694078
Minimum0.86
Maximum361.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:31.309228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.86
5-th percentile1.641
Q16.205
median12.48
Q326.115
95-th percentile68.313
Maximum361.11
Range360.25
Interquartile range (IQR)19.91

Descriptive statistics

Standard deviation39.280348
Coefficient of variation (CV)1.6578129
Kurtosis35.675614
Mean23.694078
Median Absolute Deviation (MAD)8.17
Skewness5.2168111
Sum4241.24
Variance1542.9457
MonotonicityNot monotonic
2023-12-12T13:00:31.437727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.0 2
 
1.1%
13.0 2
 
1.1%
40.0 2
 
1.1%
19.15 2
 
1.1%
2.18 2
 
1.1%
15.9 2
 
1.1%
6.11 2
 
1.1%
3.31 2
 
1.1%
12.47 2
 
1.1%
7.74 1
 
0.6%
Other values (160) 160
89.4%
ValueCountFrequency (%)
0.86 1
0.6%
0.89 1
0.6%
0.93 1
0.6%
0.99 1
0.6%
1.18 1
0.6%
1.23 1
0.6%
1.24 1
0.6%
1.5 1
0.6%
1.56 1
0.6%
1.65 1
0.6%
ValueCountFrequency (%)
361.11 1
0.6%
214.0 1
0.6%
206.3 1
0.6%
146.3 1
0.6%
136.05 1
0.6%
98.2 1
0.6%
93.24 1
0.6%
75.0 1
0.6%
72.03 1
0.6%
67.9 1
0.6%

총저수량(천톤)
Real number (ℝ)

Distinct170
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.249497
Minimum0.99
Maximum415.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:31.562388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.99
5-th percentile1.889
Q17.14
median14.35
Q330.03
95-th percentile78.564
Maximum415.28
Range414.29
Interquartile range (IQR)22.89

Descriptive statistics

Standard deviation45.172427
Coefficient of variation (CV)1.6577343
Kurtosis35.676417
Mean27.249497
Median Absolute Deviation (MAD)9.4
Skewness5.2169044
Sum4877.66
Variance2040.5482
MonotonicityNot monotonic
2023-12-12T13:00:31.680086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.2 2
 
1.1%
14.95 2
 
1.1%
46.0 2
 
1.1%
22.02 2
 
1.1%
2.51 2
 
1.1%
18.29 2
 
1.1%
7.03 2
 
1.1%
3.81 2
 
1.1%
14.34 2
 
1.1%
8.9 1
 
0.6%
Other values (160) 160
89.4%
ValueCountFrequency (%)
0.99 1
0.6%
1.02 1
0.6%
1.07 1
0.6%
1.14 1
0.6%
1.36 1
0.6%
1.41 1
0.6%
1.43 1
0.6%
1.73 1
0.6%
1.79 1
0.6%
1.9 1
0.6%
ValueCountFrequency (%)
415.28 1
0.6%
246.1 1
0.6%
237.25 1
0.6%
168.25 1
0.6%
156.46 1
0.6%
112.93 1
0.6%
107.23 1
0.6%
86.25 1
0.6%
82.83 1
0.6%
78.09 1
0.6%

제당_고(m)
Real number (ℝ)

Distinct37
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9715084
Minimum2.5
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:31.794021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile4
Q15
median6
Q38
95-th percentile13.1
Maximum25
Range22.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0305603
Coefficient of variation (CV)0.43470655
Kurtosis7.6301753
Mean6.9715084
Median Absolute Deviation (MAD)1.2
Skewness2.1566831
Sum1247.9
Variance9.184296
MonotonicityNot monotonic
2023-12-12T13:00:31.917828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6.0 27
15.1%
7.0 22
12.3%
5.0 19
 
10.6%
4.0 15
 
8.4%
8.0 10
 
5.6%
9.0 10
 
5.6%
10.0 9
 
5.0%
4.5 6
 
3.4%
5.5 5
 
2.8%
7.5 5
 
2.8%
Other values (27) 51
28.5%
ValueCountFrequency (%)
2.5 1
 
0.6%
3.0 2
 
1.1%
3.5 3
 
1.7%
3.7 1
 
0.6%
4.0 15
8.4%
4.2 2
 
1.1%
4.4 2
 
1.1%
4.5 6
 
3.4%
4.8 2
 
1.1%
5.0 19
10.6%
ValueCountFrequency (%)
25.0 1
 
0.6%
17.0 2
 
1.1%
15.0 3
 
1.7%
14.5 1
 
0.6%
14.0 2
 
1.1%
13.0 1
 
0.6%
12.0 3
 
1.7%
11.0 3
 
1.7%
10.5 1
 
0.6%
10.0 9
5.0%

제당_길이(m)
Real number (ℝ)

Distinct82
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.391061
Minimum21
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:32.040919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile35
Q157
median80
Q3120
95-th percentile194.9
Maximum400
Range379
Interquartile range (IQR)63

Descriptive statistics

Standard deviation59.168424
Coefficient of variation (CV)0.61383725
Kurtosis5.8240665
Mean96.391061
Median Absolute Deviation (MAD)27
Skewness2.0399395
Sum17254
Variance3500.9024
MonotonicityNot monotonic
2023-12-12T13:00:32.185790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 11
 
6.1%
120 7
 
3.9%
80 7
 
3.9%
90 6
 
3.4%
60 6
 
3.4%
85 5
 
2.8%
150 5
 
2.8%
70 5
 
2.8%
30 4
 
2.2%
180 4
 
2.2%
Other values (72) 119
66.5%
ValueCountFrequency (%)
21 1
 
0.6%
28 1
 
0.6%
30 4
2.2%
32 1
 
0.6%
35 3
1.7%
36 1
 
0.6%
39 1
 
0.6%
40 4
2.2%
42 1
 
0.6%
43 1
 
0.6%
ValueCountFrequency (%)
400 1
0.6%
350 1
0.6%
300 1
0.6%
286 1
0.6%
260 1
0.6%
250 1
0.6%
224 1
0.6%
210 1
0.6%
203 1
0.6%
194 2
1.1%

사통_취수공(공)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
179 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 179
100.0%

Length

2023-12-12T13:00:32.305034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:00:32.389610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 179
100.0%

사통_지름(m)
Real number (ℝ)

Distinct9
Distinct (%)5.1%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean0.34353933
Minimum0.2
Maximum1.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:32.467355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.3
Q10.3
median0.3
Q30.4
95-th percentile0.5
Maximum1.2
Range1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.11896613
Coefficient of variation (CV)0.34629551
Kurtosis24.362496
Mean0.34353933
Median Absolute Deviation (MAD)0
Skewness4.3420655
Sum61.15
Variance0.014152939
MonotonicityNot monotonic
2023-12-12T13:00:32.564993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.3 127
70.9%
0.4 29
 
16.2%
0.5 11
 
6.1%
0.2 5
 
2.8%
1.0 2
 
1.1%
0.45 1
 
0.6%
1.2 1
 
0.6%
0.6 1
 
0.6%
0.7 1
 
0.6%
(Missing) 1
 
0.6%
ValueCountFrequency (%)
0.2 5
 
2.8%
0.3 127
70.9%
0.4 29
 
16.2%
0.45 1
 
0.6%
0.5 11
 
6.1%
0.6 1
 
0.6%
0.7 1
 
0.6%
1.0 2
 
1.1%
1.2 1
 
0.6%
ValueCountFrequency (%)
1.2 1
 
0.6%
1.0 2
 
1.1%
0.7 1
 
0.6%
0.6 1
 
0.6%
0.5 11
 
6.1%
0.45 1
 
0.6%
0.4 29
 
16.2%
0.3 127
70.9%
0.2 5
 
2.8%

사통_길이(m)
Real number (ℝ)

Distinct37
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.452514
Minimum8.5
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:32.673947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile12
Q117
median20
Q328
95-th percentile43.2
Maximum54
Range45.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.3397563
Coefficient of variation (CV)0.39824116
Kurtosis1.202748
Mean23.452514
Median Absolute Deviation (MAD)5
Skewness1.1767618
Sum4198
Variance87.231047
MonotonicityNot monotonic
2023-12-12T13:00:32.785793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20.0 25
 
14.0%
25.0 17
 
9.5%
18.0 15
 
8.4%
16.0 11
 
6.1%
30.0 11
 
6.1%
15.0 9
 
5.0%
17.0 7
 
3.9%
14.0 7
 
3.9%
23.0 6
 
3.4%
21.0 5
 
2.8%
Other values (27) 66
36.9%
ValueCountFrequency (%)
8.5 1
 
0.6%
9.0 1
 
0.6%
9.3 1
 
0.6%
10.0 3
 
1.7%
11.0 1
 
0.6%
12.0 3
 
1.7%
13.0 3
 
1.7%
14.0 7
3.9%
15.0 9
5.0%
16.0 11
6.1%
ValueCountFrequency (%)
54.0 1
 
0.6%
52.0 2
1.1%
50.0 1
 
0.6%
48.0 2
1.1%
45.0 3
1.7%
43.0 1
 
0.6%
42.0 3
1.7%
40.0 4
2.2%
38.0 1
 
0.6%
35.0 3
1.7%

여수토_높이(m)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)9.9%
Missing7
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean1.322093
Minimum0.4
Maximum2.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:32.906805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.8
Q11.1
median1.4
Q31.5
95-th percentile1.8
Maximum2.5
Range2.1
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.31748322
Coefficient of variation (CV)0.24013682
Kurtosis1.9082182
Mean1.322093
Median Absolute Deviation (MAD)0.1
Skewness0.09720876
Sum227.4
Variance0.10079559
MonotonicityNot monotonic
2023-12-12T13:00:33.026921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1.5 56
31.3%
1.0 30
16.8%
1.3 21
 
11.7%
1.2 20
 
11.2%
1.4 11
 
6.1%
1.6 7
 
3.9%
1.8 5
 
2.8%
0.8 5
 
2.8%
2.0 3
 
1.7%
0.7 3
 
1.7%
Other values (7) 11
 
6.1%
(Missing) 7
 
3.9%
ValueCountFrequency (%)
0.4 2
 
1.1%
0.5 1
 
0.6%
0.6 1
 
0.6%
0.7 3
 
1.7%
0.8 5
 
2.8%
1.0 30
16.8%
1.1 2
 
1.1%
1.2 20
11.2%
1.3 21
11.7%
1.4 11
 
6.1%
ValueCountFrequency (%)
2.5 2
 
1.1%
2.0 3
 
1.7%
1.9 1
 
0.6%
1.8 5
 
2.8%
1.7 2
 
1.1%
1.6 7
 
3.9%
1.5 56
31.3%
1.4 11
 
6.1%
1.3 21
 
11.7%
1.2 20
 
11.2%

여수토_폭(m)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)13.3%
Missing6
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean4.3624277
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:33.128109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile9.2
Maximum20
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.878333
Coefficient of variation (CV)0.65980073
Kurtosis13.514608
Mean4.3624277
Median Absolute Deviation (MAD)1
Skewness3.2578346
Sum754.7
Variance8.284801
MonotonicityNot monotonic
2023-12-12T13:00:33.229278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.0 59
33.0%
4.0 38
21.2%
5.0 22
 
12.3%
2.0 12
 
6.7%
8.0 7
 
3.9%
6.0 6
 
3.4%
2.5 4
 
2.2%
10.0 3
 
1.7%
1.0 3
 
1.7%
1.5 2
 
1.1%
Other values (13) 17
 
9.5%
(Missing) 6
 
3.4%
ValueCountFrequency (%)
1.0 3
 
1.7%
1.5 2
 
1.1%
2.0 12
 
6.7%
2.5 4
 
2.2%
2.6 1
 
0.6%
3.0 59
33.0%
3.2 1
 
0.6%
3.4 1
 
0.6%
3.5 2
 
1.1%
4.0 38
21.2%
ValueCountFrequency (%)
20.0 2
 
1.1%
19.0 1
 
0.6%
15.0 1
 
0.6%
12.0 1
 
0.6%
10.0 3
1.7%
9.5 1
 
0.6%
9.0 2
 
1.1%
8.0 7
3.9%
7.0 2
 
1.1%
6.0 6
3.4%

방수로_폭(m)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)13.7%
Missing40
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean4.1971223
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:33.333087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34.5
95-th percentile9
Maximum19
Range18
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.2674107
Coefficient of variation (CV)0.54022983
Kurtosis13.748597
Mean4.1971223
Median Absolute Deviation (MAD)1
Skewness2.9832414
Sum583.4
Variance5.1411511
MonotonicityNot monotonic
2023-12-12T13:00:33.710835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4.0 42
23.5%
3.0 41
22.9%
5.0 16
 
8.9%
2.0 8
 
4.5%
8.0 5
 
2.8%
2.5 4
 
2.2%
6.0 4
 
2.2%
3.5 3
 
1.7%
1.5 3
 
1.7%
10.0 3
 
1.7%
Other values (9) 10
 
5.6%
(Missing) 40
22.3%
ValueCountFrequency (%)
1.0 1
 
0.6%
1.5 3
 
1.7%
2.0 8
 
4.5%
2.2 1
 
0.6%
2.5 4
 
2.2%
3.0 41
22.9%
3.2 1
 
0.6%
3.5 3
 
1.7%
4.0 42
23.5%
5.0 16
 
8.9%
ValueCountFrequency (%)
19.0 1
 
0.6%
12.0 1
 
0.6%
10.0 3
 
1.7%
9.5 1
 
0.6%
9.0 2
 
1.1%
8.0 5
 
2.8%
7.0 1
 
0.6%
6.0 4
 
2.2%
5.5 1
 
0.6%
5.0 16
8.9%

방수로_길이(m)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)24.3%
Missing39
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean20.607143
Minimum4
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:33.814659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q110
median15
Q330
95-th percentile50
Maximum90
Range86
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.23943
Coefficient of variation (CV)0.73952175
Kurtosis4.2391908
Mean20.607143
Median Absolute Deviation (MAD)7
Skewness1.7554516
Sum2885
Variance232.24024
MonotonicityNot monotonic
2023-12-12T13:00:33.915318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5 21
11.7%
20 17
9.5%
15 16
8.9%
30 15
 
8.4%
12 11
 
6.1%
10 8
 
4.5%
40 5
 
2.8%
13 4
 
2.2%
25 4
 
2.2%
8 4
 
2.2%
Other values (24) 35
19.6%
(Missing) 39
21.8%
ValueCountFrequency (%)
4 1
 
0.6%
5 21
11.7%
6 1
 
0.6%
7 1
 
0.6%
8 4
 
2.2%
9 2
 
1.1%
10 8
 
4.5%
11 1
 
0.6%
12 11
6.1%
13 4
 
2.2%
ValueCountFrequency (%)
90 1
 
0.6%
80 1
 
0.6%
70 1
 
0.6%
60 1
 
0.6%
59 1
 
0.6%
50 3
1.7%
45 3
1.7%
42 1
 
0.6%
40 5
2.8%
38 1
 
0.6%

설치년도
Real number (ℝ)

Distinct37
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1957.8994
Minimum1911
Maximum2003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T13:00:34.020590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1911
5-th percentile1945
Q11945
median1960
Q31968.5
95-th percentile1980.3
Maximum2003
Range92
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation13.99763
Coefficient of variation (CV)0.0071493101
Kurtosis0.10004332
Mean1957.8994
Median Absolute Deviation (MAD)15
Skewness0.41397825
Sum350464
Variance195.93365
MonotonicityNot monotonic
2023-12-12T13:00:34.134976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1945 76
42.5%
1975 11
 
6.1%
1961 8
 
4.5%
1960 8
 
4.5%
1962 8
 
4.5%
1968 6
 
3.4%
1969 6
 
3.4%
1964 5
 
2.8%
1970 5
 
2.8%
1971 4
 
2.2%
Other values (27) 42
23.5%
ValueCountFrequency (%)
1911 1
 
0.6%
1945 76
42.5%
1946 1
 
0.6%
1948 3
 
1.7%
1952 1
 
0.6%
1955 1
 
0.6%
1956 1
 
0.6%
1957 1
 
0.6%
1958 1
 
0.6%
1959 1
 
0.6%
ValueCountFrequency (%)
2003 1
0.6%
1997 1
0.6%
1990 2
1.1%
1988 1
0.6%
1986 1
0.6%
1985 1
0.6%
1983 2
1.1%
1980 1
0.6%
1978 1
0.6%
1977 2
1.1%

종별
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2종
178 
1종
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2종
2nd row2종
3rd row2종
4th row2종
5th row2종

Common Values

ValueCountFrequency (%)
2종 178
99.4%
1종 1
 
0.6%

Length

2023-12-12T13:00:34.243436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:00:34.329235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2종 178
99.4%
1종 1
 
0.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경상북도 구미시청
179 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 구미시청
2nd row경상북도 구미시청
3rd row경상북도 구미시청
4th row경상북도 구미시청
5th row경상북도 구미시청

Common Values

ValueCountFrequency (%)
경상북도 구미시청 179
100.0%

Length

2023-12-12T13:00:34.418846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:00:34.507902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 179
50.0%
구미시청 179
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
054-480-5798
179 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-480-5798
2nd row054-480-5798
3rd row054-480-5798
4th row054-480-5798
5th row054-480-5798

Common Values

ValueCountFrequency (%)
054-480-5798 179
100.0%

Length

2023-12-12T13:00:34.593899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:00:34.694794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-480-5798 179
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2023-12-12T13:00:34.778836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:00:34.877638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

연번저수지명주소지유역면적(ha)수혜면적(ha)만수면적(ha)홍수량(m3-sec)계획저수량(천톤)총저수량(천톤)제당_고(m)제당_길이(m)사통_취수공(공)사통_지름(m)사통_길이(m)여수토_높이(m)여수토_폭(m)방수로_폭(m)방수로_길이(m)설치년도종별관리기관명관리기관전화번호데이터기준일자
01산막지경상북도 구미시 고아읍 파산리 415-520.07.51.25.327.9432.137.012010.325.01.53.03.03019462종경상북도 구미시청054-480-57982023-08-02
12점곡지경상북도 구미시 고아읍 대망리 75117.03.61.05.39.3610.7611.03910.334.01.34.0<NA><NA>19602종경상북도 구미시청054-480-57982023-08-02
23못두들지경상북도 구미시 고아읍 대망리 65927.02.30.22.13.043.510.06010.323.01.02.0<NA><NA>19602종경상북도 구미시청054-480-57982023-08-02
34송림지경상북도 구미시 고아읍 송림리 367-150.02.42.09.013.5215.558.013610.334.01.55.0<NA><NA>19612종경상북도 구미시청054-480-57982023-08-02
45도장지경상북도 구미시 고아읍 외예리 산32임42.019.01.17.744.5351.2111.010010.320.01.54.04.04019642종경상북도 구미시청054-480-57982023-08-02
56구들지경상북도 구미시 고아읍 내예리 268-163.03.01.06.412.4814.3510.04310.343.01.55.04.02019682종경상북도 구미시청054-480-57982023-08-02
67망장지경상북도 구미시 고아읍 대망리 785-137.01.20.33.84.695.399.05510.335.01.34.04.01819692종경상북도 구미시청054-480-57982023-08-02
78국지지경상북도 구미시 고아읍 대망리 1466.06.20.23.82.182.5110.04010.318.01.54.04.03019692종경상북도 구미시청054-480-57982023-08-02
89원호지경상북도 구미시 고아읍 원호리 30991.03.10.44.311.6613.4110.07010.327.01.53.03.01519702종경상북도 구미시청054-480-57982023-08-02
910신기지경상북도 구미시 고아읍 외예리 306-312.03.00.76.45.796.6612.019210.326.01.54.04.02019712종경상북도 구미시청054-480-57982023-08-02
연번저수지명주소지유역면적(ha)수혜면적(ha)만수면적(ha)홍수량(m3-sec)계획저수량(천톤)총저수량(천톤)제당_고(m)제당_길이(m)사통_취수공(공)사통_지름(m)사통_길이(m)여수토_높이(m)여수토_폭(m)방수로_폭(m)방수로_길이(m)설치년도종별관리기관명관리기관전화번호데이터기준일자
169170평송지경상북도 구미시 해평면 낙산리 101846.05.60.61.18.259.495.39010.335.01.66.04.03019622종경상북도 구미시청054-480-57982023-08-02
170171비곡지경상북도 구미시 해평면 낙산리 산133-124.04.40.55.113.515.538.07610.325.01.53.03.01519622종경상북도 구미시청054-480-57982023-08-02
171172일선지경상북도 구미시 해평면 송곡리 82-3184.014.01.039.028.4232.687.06010.328.02.07.04.03019642종경상북도 구미시청054-480-57982023-08-02
172173오로골지경상북도 구미시 해평면 금산리 2926.06.40.41.511.313.07.78910.318.01.82.52.54019682종경상북도 구미시청054-480-57982023-08-02
173174대송지경상북도 구미시 해평면 낙산리 875-1372.07.50.618.024.5528.238.56510.445.01.88.08.05019682종경상북도 구미시청054-480-57982023-08-02
174175오층골지경상북도 구미시 해평면 괴곡리 1353.02.20.51.73.584.125.37710.320.01.22.02.01019702종경상북도 구미시청054-480-57982023-08-02
175176금산지경상북도 구미시 해평면 금산리 4157.07.11.40.647.7654.924.43010.325.01.82.52.53019722종경상북도 구미시청054-480-57982023-08-02
176177야곡지경상북도 구미시 해평면 낙산리 7815.02.60.41.07.919.15.75110.318.01.52.02.03019742종경상북도 구미시청054-480-57982023-08-02
177178송곡지경상북도 구미시 해평면 송곡리 산22-249.012.03.110.428.032.26.010310.330.02.05.05.0519902종경상북도 구미시청054-480-57982023-08-02
178179안골지경상북도 구미시 장천면 오로리 63311.58.40.20.62.53.08.03610.215.0<NA><NA><NA><NA>19452종경상북도 구미시청054-480-57982023-08-02