Overview

Dataset statistics

Number of variables23
Number of observations3677
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory736.2 KiB
Average record size in memory205.0 B

Variable types

Numeric21
Categorical1
Text1

Dataset

Description연도별, 생활용 지하수 정보(세부용도별 시설수, 이용량)를 아래와 같이 제공합니다. 제공현황 - 연도,시도,시군구,총계-개소수,총계-이용량,가정용-개소수,가정용-이용량,일반용-개소수,일반용-이용량,학교용-개소수,학교용-이용량,민방위용-개소수,민방위용-이용량,공동주택용-개소수,공동주택용-이용량,간이상수도용-개소수,간이상수도용-이용량,상수도-개소수,상수도-이용량,농업생활겸용-개소수,농업생활겸용-이용량,기타-개소수,기타-이용량
URLhttps://www.data.go.kr/data/15054541/fileData.do

Alerts

가정용-개소수 has 42 (1.1%) zerosZeros
가정용-이용량 has 61 (1.7%) zerosZeros
학교용-개소수 has 288 (7.8%) zerosZeros
학교용-이용량 has 308 (8.4%) zerosZeros
민방위용-개소수 has 402 (10.9%) zerosZeros
민방위용-이용량 has 501 (13.6%) zerosZeros
공동주택용-개소수 has 558 (15.2%) zerosZeros
공동주택용-이용량 has 594 (16.2%) zerosZeros
간이상수도용-개소수 has 892 (24.3%) zerosZeros
간이상수도용-이용량 has 918 (25.0%) zerosZeros
상수도-개소수 has 1788 (48.6%) zerosZeros
상수도-이용량 has 1835 (49.9%) zerosZeros
농업생활겸용-개소수 has 710 (19.3%) zerosZeros
농업생활겸용-이용량 has 776 (21.1%) zerosZeros
기타-개소수 has 44 (1.2%) zerosZeros
기타-이용량 has 55 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-12 13:14:14.413449
Analysis finished2023-12-12 13:14:14.839378
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.4808
Minimum2007
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:14.891836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2007
Q12010
median2014
Q32018
95-th percentile2022
Maximum2022
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6148121
Coefficient of variation (CV)0.0022908195
Kurtosis-1.2116781
Mean2014.4808
Median Absolute Deviation (MAD)4
Skewness0.0048781223
Sum7407246
Variance21.29649
MonotonicityIncreasing
2023-12-12T22:14:15.019805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2007 232
 
6.3%
2009 232
 
6.3%
2008 232
 
6.3%
2010 230
 
6.3%
2011 230
 
6.3%
2012 230
 
6.3%
2013 230
 
6.3%
2019 229
 
6.2%
2022 229
 
6.2%
2021 229
 
6.2%
Other values (6) 1374
37.4%
ValueCountFrequency (%)
2007 232
6.3%
2008 232
6.3%
2009 232
6.3%
2010 230
6.3%
2011 230
6.3%
2012 230
6.3%
2013 230
6.3%
2014 229
6.2%
2015 229
6.2%
2016 229
6.2%
ValueCountFrequency (%)
2022 229
6.2%
2021 229
6.2%
2020 229
6.2%
2019 229
6.2%
2018 229
6.2%
2017 229
6.2%
2016 229
6.2%
2015 229
6.2%
2014 229
6.2%
2013 230
6.3%

시도
Categorical

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
경기도
496 
서울특별시
400 
경상북도
368 
전라남도
352 
경상남도
294 
Other values (12)
1767 

Length

Max length7
Median length5
Mean length4.1438673
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 496
13.5%
서울특별시 400
10.9%
경상북도 368
10.0%
전라남도 352
9.6%
경상남도 294
8.0%
강원도 288
7.8%
부산광역시 256
7.0%
충청남도 245
6.7%
전라북도 224
 
6.1%
충청북도 183
 
5.0%
Other values (7) 571
15.5%

Length

2023-12-12T22:14:15.183109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 496
13.5%
서울특별시 400
10.9%
경상북도 368
10.0%
전라남도 352
9.6%
경상남도 294
8.0%
강원도 288
7.8%
부산광역시 256
7.0%
충청남도 245
6.7%
전라북도 224
 
6.1%
충청북도 183
 
5.0%
Other values (7) 571
15.5%

시군구
Text

Distinct214
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
2023-12-12T22:14:15.565272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9385369
Min length2

Characters and Unicode

Total characters10805
Distinct characters137
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

Unique0 ?
Unique (%)0.0%

Sample

1st row강릉시
2nd row고성군
3rd row동해시
4th row삼척시
5th row속초시
ValueCountFrequency (%)
중구 96
 
2.6%
동구 96
 
2.6%
서구 80
 
2.2%
남구 75
 
2.0%
북구 64
 
1.7%
강서구 32
 
0.9%
고성군 32
 
0.9%
계양구 16
 
0.4%
종로구 16
 
0.4%
중랑구 16
 
0.4%
Other values (204) 3154
85.8%
2023-12-12T22:14:16.006831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 1382
 
12.8%
시 1255
 
11.6%
구 1184
 
11.0%
천 352
 
3.3%
주 320
 
3.0%
양 288
 
2.7%
성 288
 
2.7%
동 272
 
2.5%
산 259
 
2.4%
서 208
 
1.9%
Other values (127) 4997
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10805
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 1382
 
12.8%
시 1255
 
11.6%
구 1184
 
11.0%
천 352
 
3.3%
주 320
 
3.0%
양 288
 
2.7%
성 288
 
2.7%
동 272
 
2.5%
산 259
 
2.4%
서 208
 
1.9%
Other values (127) 4997
46.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10805
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 1382
 
12.8%
시 1255
 
11.6%
구 1184
 
11.0%
천 352
 
3.3%
주 320
 
3.0%
양 288
 
2.7%
성 288
 
2.7%
동 272
 
2.5%
산 259
 
2.4%
서 208
 
1.9%
Other values (127) 4997
46.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10805
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 1382
 
12.8%
시 1255
 
11.6%
구 1184
 
11.0%
천 352
 
3.3%
주 320
 
3.0%
양 288
 
2.7%
성 288
 
2.7%
동 272
 
2.5%
산 259
 
2.4%
서 208
 
1.9%
Other values (127) 4997
46.2%

총계-개소수
Real number (ℝ)

Distinct2482
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3565.5815
Minimum6
Maximum24146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:16.141375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile123
Q1419
median1614
Q35687
95-th percentile13092
Maximum24146
Range24140
Interquartile range (IQR)5268

Descriptive statistics

Standard deviation4290.2894
Coefficient of variation (CV)1.203251
Kurtosis2.1485876
Mean3565.5815
Median Absolute Deviation (MAD)1391
Skewness1.5833604
Sum13110643
Variance18406583
MonotonicityNot monotonic
2023-12-12T22:14:16.259977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
138 10
 
0.3%
121 9
 
0.2%
190 9
 
0.2%
134 8
 
0.2%
136 8
 
0.2%
9 8
 
0.2%
504 7
 
0.2%
128 7
 
0.2%
99 7
 
0.2%
442 7
 
0.2%
Other values (2472) 3597
97.8%
ValueCountFrequency (%)
6 4
0.1%
7 3
 
0.1%
9 8
0.2%
11 1
 
< 0.1%
17 1
 
< 0.1%
26 1
 
< 0.1%
36 2
 
0.1%
37 5
0.1%
39 4
0.1%
40 1
 
< 0.1%
ValueCountFrequency (%)
24146 1
< 0.1%
24107 1
< 0.1%
23839 1
< 0.1%
23619 2
0.1%
23384 1
< 0.1%
23287 1
< 0.1%
23007 1
< 0.1%
22765 1
< 0.1%
20177 1
< 0.1%
19677 1
< 0.1%

총계-이용량
Real number (ℝ)

Distinct3419
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6855147.8
Minimum9300
Maximum96180482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:16.375979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9300
5-th percentile396009.2
Q11309145
median3822307
Q38717460
95-th percentile23905957
Maximum96180482
Range96171182
Interquartile range (IQR)7408315

Descriptive statistics

Standard deviation9214195.3
Coefficient of variation (CV)1.3441279
Kurtosis22.905087
Mean6855147.8
Median Absolute Deviation (MAD)2894778
Skewness3.7626975
Sum2.5206379 × 1010
Variance8.4901395 × 1013
MonotonicityNot monotonic
2023-12-12T22:14:16.623327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69900.0 7
 
0.2%
37400.0 4
 
0.1%
241833.0 3
 
0.1%
37500.0 3
 
0.1%
9481298.0 3
 
0.1%
212840.0 3
 
0.1%
817619.0 2
 
0.1%
448315.0 2
 
0.1%
1153939.0 2
 
0.1%
237908.0 2
 
0.1%
Other values (3409) 3646
99.2%
ValueCountFrequency (%)
9300.0 2
 
0.1%
37400.0 4
0.1%
37500.0 3
0.1%
68092.0 1
 
< 0.1%
69900.0 7
0.2%
84298.0 1
 
< 0.1%
97328.0 1
 
< 0.1%
112357.0 1
 
< 0.1%
132370.0 1
 
< 0.1%
153982.0 2
 
0.1%
ValueCountFrequency (%)
96180482.0 1
< 0.1%
94733522.0 2
0.1%
94495015.0 2
0.1%
92177643.0 1
< 0.1%
87116077.0 1
< 0.1%
85221694.0 1
< 0.1%
84756832.0 1
< 0.1%
70259246.0 1
< 0.1%
70256467.0 1
< 0.1%
70174246.0 1
< 0.1%

가정용-개소수
Real number (ℝ)

ZEROS 

Distinct1863
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2509.0106
Minimum0
Maximum17997
Zeros42
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:16.920575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q179
median727
Q33448
95-th percentile10271.6
Maximum17997
Range17997
Interquartile range (IQR)3369

Descriptive statistics

Standard deviation3624.2362
Coefficient of variation (CV)1.4444882
Kurtosis3.0114913
Mean2509.0106
Median Absolute Deviation (MAD)715
Skewness1.8449208
Sum9225632
Variance13135088
MonotonicityNot monotonic
2023-12-12T22:14:17.261743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 97
 
2.6%
0 42
 
1.1%
2 31
 
0.8%
3 30
 
0.8%
4 29
 
0.8%
9 29
 
0.8%
21 28
 
0.8%
12 26
 
0.7%
22 26
 
0.7%
11 25
 
0.7%
Other values (1853) 3314
90.1%
ValueCountFrequency (%)
0 42
1.1%
1 97
2.6%
2 31
 
0.8%
3 30
 
0.8%
4 29
 
0.8%
5 12
 
0.3%
6 17
 
0.5%
7 20
 
0.5%
8 14
 
0.4%
9 29
 
0.8%
ValueCountFrequency (%)
17997 1
< 0.1%
17816 1
< 0.1%
17589 1
< 0.1%
17257 2
0.1%
17156 1
< 0.1%
17102 2
0.1%
17037 1
< 0.1%
16989 1
< 0.1%
16986 1
< 0.1%
16956 1
< 0.1%

가정용-이용량
Real number (ℝ)

ZEROS 

Distinct2854
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2126748.8
Minimum0
Maximum34783730
Zeros61
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:17.707674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile800
Q164436
median505344
Q31953450
95-th percentile10254362
Maximum34783730
Range34783730
Interquartile range (IQR)1889014

Descriptive statistics

Standard deviation4284287.2
Coefficient of variation (CV)2.0144773
Kurtosis16.179484
Mean2126748.8
Median Absolute Deviation (MAD)495166
Skewness3.690953
Sum7.8200555 × 109
Variance1.8355117 × 1013
MonotonicityNot monotonic
2023-12-12T22:14:17.908784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 61
 
1.7%
15000.0 14
 
0.4%
562.0 10
 
0.3%
402.0 10
 
0.3%
15517.0 8
 
0.2%
621.0 7
 
0.2%
7016.0 7
 
0.2%
268.0 7
 
0.2%
50734.0 7
 
0.2%
1.0 7
 
0.2%
Other values (2844) 3539
96.2%
ValueCountFrequency (%)
0.0 61
1.7%
1.0 7
 
0.2%
2.0 1
 
< 0.1%
3.0 1
 
< 0.1%
7.0 1
 
< 0.1%
22.0 1
 
< 0.1%
25.0 1
 
< 0.1%
28.0 1
 
< 0.1%
36.0 2
 
0.1%
60.0 1
 
< 0.1%
ValueCountFrequency (%)
34783730.0 1
< 0.1%
34749953.0 1
< 0.1%
34680743.0 1
< 0.1%
34662153.0 1
< 0.1%
34660417.0 1
< 0.1%
34647829.0 1
< 0.1%
31988069.0 1
< 0.1%
31950350.0 1
< 0.1%
28745740.0 1
< 0.1%
28543411.0 1
< 0.1%

일반용-개소수
Real number (ℝ)

Distinct1290
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean650.11776
Minimum3
Maximum7685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:18.073817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile51
Q1148
median309
Q3736
95-th percentile2431
Maximum7685
Range7682
Interquartile range (IQR)588

Descriptive statistics

Standard deviation910.77091
Coefficient of variation (CV)1.4009322
Kurtosis14.603877
Mean650.11776
Median Absolute Deviation (MAD)206
Skewness3.2635564
Sum2390483
Variance829503.64
MonotonicityNot monotonic
2023-12-12T22:14:18.564723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 20
 
0.5%
107 17
 
0.5%
53 16
 
0.4%
312 15
 
0.4%
104 15
 
0.4%
49 15
 
0.4%
168 15
 
0.4%
249 14
 
0.4%
68 14
 
0.4%
154 14
 
0.4%
Other values (1280) 3522
95.8%
ValueCountFrequency (%)
3 7
0.2%
6 8
0.2%
7 3
 
0.1%
9 1
 
< 0.1%
10 3
 
0.1%
12 2
 
0.1%
13 2
 
0.1%
14 7
0.2%
15 5
0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
7685 2
0.1%
7488 1
< 0.1%
7462 1
< 0.1%
7355 2
0.1%
7340 1
< 0.1%
7064 1
< 0.1%
6885 2
0.1%
6834 2
0.1%
6830 1
< 0.1%
6788 1
< 0.1%

일반용-이용량
Real number (ℝ)

Distinct3142
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2209538.3
Minimum9300
Maximum22413972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:18.702601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9300
5-th percentile167611
Q1445218
median1049797
Q32465537
95-th percentile9128227.2
Maximum22413972
Range22404672
Interquartile range (IQR)2020319

Descriptive statistics

Standard deviation3061298.6
Coefficient of variation (CV)1.3854925
Kurtosis8.8207615
Mean2209538.3
Median Absolute Deviation (MAD)722571
Skewness2.7593349
Sum8.1244723 × 109
Variance9.3715493 × 1012
MonotonicityNot monotonic
2023-12-12T22:14:18.834494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51600.0 7
 
0.2%
19100.0 7
 
0.2%
160884.0 6
 
0.2%
318593.0 4
 
0.1%
508992.0 3
 
0.1%
342984.0 3
 
0.1%
76685.0 3
 
0.1%
145611.0 3
 
0.1%
132107.0 3
 
0.1%
273729.0 3
 
0.1%
Other values (3132) 3635
98.9%
ValueCountFrequency (%)
9300.0 2
 
0.1%
17827.0 2
 
0.1%
19100.0 7
0.2%
21097.0 1
 
< 0.1%
21333.0 1
 
< 0.1%
21364.0 3
0.1%
21427.0 1
 
< 0.1%
22769.0 2
 
0.1%
24017.0 1
 
< 0.1%
44170.0 1
 
< 0.1%
ValueCountFrequency (%)
22413972.0 1
< 0.1%
22154083.0 2
0.1%
18966280.0 1
< 0.1%
18810246.0 1
< 0.1%
18765423.0 1
< 0.1%
18695675.0 1
< 0.1%
18421078.0 1
< 0.1%
18213125.0 1
< 0.1%
18132930.0 1
< 0.1%
17953781.0 2
0.1%

학교용-개소수
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.376394
Minimum0
Maximum245
Zeros288
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:18.979459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q333
95-th percentile78
Maximum245
Range245
Interquartile range (IQR)29

Descriptive statistics

Standard deviation27.311323
Coefficient of variation (CV)1.1683292
Kurtosis12.811974
Mean23.376394
Median Absolute Deviation (MAD)12
Skewness2.736953
Sum85955
Variance745.90834
MonotonicityNot monotonic
2023-12-12T22:14:19.123652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 288
 
7.8%
2 229
 
6.2%
3 195
 
5.3%
1 149
 
4.1%
4 127
 
3.5%
5 121
 
3.3%
21 97
 
2.6%
7 95
 
2.6%
9 88
 
2.4%
6 81
 
2.2%
Other values (122) 2207
60.0%
ValueCountFrequency (%)
0 288
7.8%
1 149
4.1%
2 229
6.2%
3 195
5.3%
4 127
3.5%
5 121
3.3%
6 81
 
2.2%
7 95
 
2.6%
8 60
 
1.6%
9 88
 
2.4%
ValueCountFrequency (%)
245 5
0.1%
244 1
 
< 0.1%
218 1
 
< 0.1%
216 1
 
< 0.1%
215 1
 
< 0.1%
197 2
 
0.1%
193 1
 
< 0.1%
185 1
 
< 0.1%
182 2
 
0.1%
181 1
 
< 0.1%

학교용-이용량
Real number (ℝ)

ZEROS 

Distinct1586
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160870.71
Minimum0
Maximum4356389
Zeros308
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:19.273707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111901
median74545
Q3181011
95-th percentile613525
Maximum4356389
Range4356389
Interquartile range (IQR)169110

Descriptive statistics

Standard deviation298395.49
Coefficient of variation (CV)1.8548777
Kurtosis49.123249
Mean160870.71
Median Absolute Deviation (MAD)67755
Skewness5.5356112
Sum5.915216 × 108
Variance8.903987 × 1010
MonotonicityNot monotonic
2023-12-12T22:14:19.428371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 308
 
8.4%
74545 16
 
0.4%
2288 16
 
0.4%
1716 16
 
0.4%
7920 16
 
0.4%
1314 13
 
0.4%
47 13
 
0.4%
503 13
 
0.4%
1168 13
 
0.4%
3718 12
 
0.3%
Other values (1576) 3241
88.1%
ValueCountFrequency (%)
0 308
8.4%
1 1
 
< 0.1%
4 1
 
< 0.1%
30 3
 
0.1%
35 1
 
< 0.1%
37 2
 
0.1%
47 13
 
0.4%
67 1
 
< 0.1%
90 1
 
< 0.1%
100 1
 
< 0.1%
ValueCountFrequency (%)
4356389 2
0.1%
4349929 1
 
< 0.1%
3066498 3
0.1%
2350193 1
 
< 0.1%
2342151 3
0.1%
2308263 2
0.1%
2011532 1
 
< 0.1%
1997137 1
 
< 0.1%
1995662 2
0.1%
1981262 3
0.1%

민방위용-개소수
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.30514
Minimum0
Maximum93
Zeros402
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:19.570096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q312
95-th percentile44.2
Maximum93
Range93
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.31166
Coefficient of variation (CV)1.3887885
Kurtosis6.4557106
Mean10.30514
Median Absolute Deviation (MAD)4
Skewness2.4645901
Sum37892
Variance204.82362
MonotonicityNot monotonic
2023-12-12T22:14:19.718069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 405
 
11.0%
0 402
 
10.9%
3 307
 
8.3%
4 303
 
8.2%
2 294
 
8.0%
6 263
 
7.2%
5 207
 
5.6%
8 165
 
4.5%
7 151
 
4.1%
9 98
 
2.7%
Other values (72) 1082
29.4%
ValueCountFrequency (%)
0 402
10.9%
1 405
11.0%
2 294
8.0%
3 307
8.3%
4 303
8.2%
5 207
5.6%
6 263
7.2%
7 151
 
4.1%
8 165
4.5%
9 98
 
2.7%
ValueCountFrequency (%)
93 1
< 0.1%
92 2
0.1%
87 2
0.1%
84 2
0.1%
83 1
< 0.1%
82 2
0.1%
80 1
< 0.1%
79 2
0.1%
76 1
< 0.1%
75 1
< 0.1%

민방위용-이용량
Real number (ℝ)

ZEROS 

Distinct1035
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78947.094
Minimum0
Maximum1553249
Zeros501
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:19.893172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11500
median16800
Q3100051
95-th percentile276777.4
Maximum1553249
Range1553249
Interquartile range (IQR)98551

Descriptive statistics

Standard deviation162910.17
Coefficient of variation (CV)2.063536
Kurtosis38.876894
Mean78947.094
Median Absolute Deviation (MAD)16800
Skewness5.3676511
Sum2.9028846 × 108
Variance2.6539723 × 1010
MonotonicityNot monotonic
2023-12-12T22:14:20.082194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 501
 
13.6%
600 42
 
1.1%
3600 30
 
0.8%
3650 23
 
0.6%
365 22
 
0.6%
4380 19
 
0.5%
4200 19
 
0.5%
52195 17
 
0.5%
100 17
 
0.5%
225600 16
 
0.4%
Other values (1025) 2971
80.8%
ValueCountFrequency (%)
0 501
13.6%
1 6
 
0.2%
3 9
 
0.2%
4 10
 
0.3%
11 1
 
< 0.1%
12 7
 
0.2%
14 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
36 10
 
0.3%
ValueCountFrequency (%)
1553249 8
0.2%
1551064 1
 
< 0.1%
1549969 2
 
0.1%
1546013 1
 
< 0.1%
1542304 2
 
0.1%
1509363 2
 
0.1%
1505613 2
 
0.1%
1498413 1
 
< 0.1%
1397213 1
 
< 0.1%
1309069 1
 
< 0.1%

공동주택용-개소수
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.836552
Minimum0
Maximum438
Zeros558
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:20.300268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q317
95-th percentile67.4
Maximum438
Range438
Interquartile range (IQR)15

Descriptive statistics

Standard deviation38.360663
Coefficient of variation (CV)2.1506771
Kurtosis44.833106
Mean17.836552
Median Absolute Deviation (MAD)6
Skewness5.7883518
Sum65585
Variance1471.5405
MonotonicityNot monotonic
2023-12-12T22:14:20.494424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558
 
15.2%
2 329
 
8.9%
1 323
 
8.8%
3 246
 
6.7%
5 174
 
4.7%
4 144
 
3.9%
6 129
 
3.5%
9 122
 
3.3%
13 94
 
2.6%
8 85
 
2.3%
Other values (152) 1473
40.1%
ValueCountFrequency (%)
0 558
15.2%
1 323
8.8%
2 329
8.9%
3 246
6.7%
4 144
 
3.9%
5 174
 
4.7%
6 129
 
3.5%
7 83
 
2.3%
8 85
 
2.3%
9 122
 
3.3%
ValueCountFrequency (%)
438 1
< 0.1%
435 1
< 0.1%
423 1
< 0.1%
413 1
< 0.1%
410 2
0.1%
407 1
< 0.1%
398 1
< 0.1%
395 1
< 0.1%
394 1
< 0.1%
386 2
0.1%

공동주택용-이용량
Real number (ℝ)

ZEROS 

Distinct1237
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163520.76
Minimum0
Maximum8744826
Zeros594
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:20.669190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12200
median24374
Q3101940
95-th percentile792121
Maximum8744826
Range8744826
Interquartile range (IQR)99740

Descriptive statistics

Standard deviation514500.44
Coefficient of variation (CV)3.1463922
Kurtosis83.551965
Mean163520.76
Median Absolute Deviation (MAD)24374
Skewness7.5384958
Sum6.0126584 × 108
Variance2.647107 × 1011
MonotonicityNot monotonic
2023-12-12T22:14:20.856713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 594
 
16.2%
36000 27
 
0.7%
35000 24
 
0.7%
300 20
 
0.5%
1596 16
 
0.4%
12264 16
 
0.4%
360 16
 
0.4%
22000 16
 
0.4%
13695 16
 
0.4%
3507 16
 
0.4%
Other values (1227) 2916
79.3%
ValueCountFrequency (%)
0 594
16.2%
1 4
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
6 4
 
0.1%
10 3
 
0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
40 1
 
< 0.1%
57 1
 
< 0.1%
ValueCountFrequency (%)
8744826 1
< 0.1%
8733329 1
< 0.1%
8287493 1
< 0.1%
5933678 1
< 0.1%
5892278 1
< 0.1%
5857878 1
< 0.1%
4223777 1
< 0.1%
3868492 2
0.1%
3676277 1
< 0.1%
3669675 1
< 0.1%

간이상수도용-개소수
Real number (ℝ)

ZEROS 

Distinct372
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.974708
Minimum0
Maximum596
Zeros892
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:21.027701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median29
Q3136
95-th percentile283.6
Maximum596
Range596
Interquartile range (IQR)135

Descriptive statistics

Standard deviation103.22312
Coefficient of variation (CV)1.290697
Kurtosis2.40054
Mean79.974708
Median Absolute Deviation (MAD)29
Skewness1.5658168
Sum294067
Variance10655.012
MonotonicityNot monotonic
2023-12-12T22:14:21.237209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 892
24.3%
1 157
 
4.3%
4 97
 
2.6%
2 82
 
2.2%
3 79
 
2.1%
5 71
 
1.9%
8 44
 
1.2%
6 39
 
1.1%
13 36
 
1.0%
12 29
 
0.8%
Other values (362) 2151
58.5%
ValueCountFrequency (%)
0 892
24.3%
1 157
 
4.3%
2 82
 
2.2%
3 79
 
2.1%
4 97
 
2.6%
5 71
 
1.9%
6 39
 
1.1%
7 27
 
0.7%
8 44
 
1.2%
9 23
 
0.6%
ValueCountFrequency (%)
596 1
 
< 0.1%
594 1
 
< 0.1%
566 1
 
< 0.1%
510 1
 
< 0.1%
509 1
 
< 0.1%
508 2
0.1%
507 1
 
< 0.1%
499 3
0.1%
498 2
0.1%
495 1
 
< 0.1%

간이상수도용-이용량
Real number (ℝ)

ZEROS 

Distinct1735
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean832968.95
Minimum0
Maximum12678800
Zeros918
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:21.440178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1240
median251973
Q31241430
95-th percentile3317774
Maximum12678800
Range12678800
Interquartile range (IQR)1241190

Descriptive statistics

Standard deviation1268390.9
Coefficient of variation (CV)1.5227349
Kurtosis15.951054
Mean832968.95
Median Absolute Deviation (MAD)251973
Skewness3.0056234
Sum3.0628268 × 109
Variance1.6088155 × 1012
MonotonicityNot monotonic
2023-12-12T22:14:21.633308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 918
 
25.0%
13395.0 21
 
0.6%
1095.0 16
 
0.4%
1334.0 16
 
0.4%
40187.0 16
 
0.4%
14235.0 14
 
0.4%
519656.0 14
 
0.4%
102890.0 13
 
0.4%
8000.0 13
 
0.4%
365.0 13
 
0.4%
Other values (1725) 2623
71.3%
ValueCountFrequency (%)
0.0 918
25.0%
234.0 1
 
< 0.1%
240.0 2
 
0.1%
365.0 13
 
0.4%
540.0 1
 
< 0.1%
876.0 8
 
0.2%
1094.0 3
 
0.1%
1095.0 16
 
0.4%
1152.0 1
 
< 0.1%
1205.0 10
 
0.3%
ValueCountFrequency (%)
12678800.0 1
 
< 0.1%
12632457.0 1
 
< 0.1%
12585465.0 3
0.1%
12565390.0 1
 
< 0.1%
9534389.0 1
 
< 0.1%
8758649.0 1
 
< 0.1%
8024639.0 1
 
< 0.1%
7840843.0 1
 
< 0.1%
7202484.0 1
 
< 0.1%
7190338.0 1
 
< 0.1%

상수도-개소수
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1642643
Minimum0
Maximum249
Zeros1788
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:21.825088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum249
Range249
Interquartile range (IQR)4

Descriptive statistics

Standard deviation25.134961
Coefficient of variation (CV)3.5083799
Kurtosis50.896297
Mean7.1642643
Median Absolute Deviation (MAD)1
Skewness6.7115268
Sum26343
Variance631.76626
MonotonicityNot monotonic
2023-12-12T22:14:22.052170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1788
48.6%
1 447
 
12.2%
2 232
 
6.3%
3 204
 
5.5%
4 111
 
3.0%
5 94
 
2.6%
6 93
 
2.5%
7 70
 
1.9%
9 53
 
1.4%
10 51
 
1.4%
Other values (84) 534
 
14.5%
ValueCountFrequency (%)
0 1788
48.6%
1 447
 
12.2%
2 232
 
6.3%
3 204
 
5.5%
4 111
 
3.0%
5 94
 
2.6%
6 93
 
2.5%
7 70
 
1.9%
8 41
 
1.1%
9 53
 
1.4%
ValueCountFrequency (%)
249 1
 
< 0.1%
246 1
 
< 0.1%
245 7
0.2%
244 3
0.1%
243 3
0.1%
237 2
 
0.1%
235 1
 
< 0.1%
231 2
 
0.1%
202 1
 
< 0.1%
190 1
 
< 0.1%

상수도-이용량
Real number (ℝ)

ZEROS 

Distinct534
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean524043.44
Minimum0
Maximum86484159
Zeros1835
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:22.254971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q341100
95-th percentile606420
Maximum86484159
Range86484159
Interquartile range (IQR)41100

Descriptive statistics

Standard deviation4902060.5
Coefficient of variation (CV)9.3543018
Kurtosis201.8807
Mean524043.44
Median Absolute Deviation (MAD)15
Skewness13.552697
Sum1.9269077 × 109
Variance2.4030197 × 1013
MonotonicityNot monotonic
2023-12-12T22:14:22.452225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1835
49.9%
3650 31
 
0.8%
365 30
 
0.8%
13396 22
 
0.6%
9000 21
 
0.6%
299 20
 
0.5%
7200 19
 
0.5%
6752 16
 
0.4%
1460 16
 
0.4%
10000 16
 
0.4%
Other values (524) 1651
44.9%
ValueCountFrequency (%)
0 1835
49.9%
15 4
 
0.1%
120 3
 
0.1%
195 1
 
< 0.1%
216 1
 
< 0.1%
255 12
 
0.3%
256 5
 
0.1%
262 5
 
0.1%
285 3
 
0.1%
299 20
 
0.5%
ValueCountFrequency (%)
86484159 1
< 0.1%
85522690 2
0.1%
84722104 2
0.1%
80332807 1
< 0.1%
76375887 1
< 0.1%
74609878 1
< 0.1%
73874349 1
< 0.1%
47331443 2
0.1%
46917838 1
< 0.1%
43854303 1
< 0.1%

농업생활겸용-개소수
Real number (ℝ)

ZEROS 

Distinct261
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.107696
Minimum0
Maximum5881
Zeros710
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:22.631064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q333
95-th percentile241
Maximum5881
Range5881
Interquartile range (IQR)32

Descriptive statistics

Standard deviation348.53942
Coefficient of variation (CV)5.3532753
Kurtosis235.66449
Mean65.107696
Median Absolute Deviation (MAD)13
Skewness14.68497
Sum239401
Variance121479.73
MonotonicityNot monotonic
2023-12-12T22:14:22.802244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 710
 
19.3%
1 246
 
6.7%
2 188
 
5.1%
3 188
 
5.1%
15 79
 
2.1%
14 79
 
2.1%
7 77
 
2.1%
10 73
 
2.0%
6 69
 
1.9%
17 66
 
1.8%
Other values (251) 1902
51.7%
ValueCountFrequency (%)
0 710
19.3%
1 246
 
6.7%
2 188
 
5.1%
3 188
 
5.1%
4 64
 
1.7%
5 43
 
1.2%
6 69
 
1.9%
7 77
 
2.1%
8 26
 
0.7%
9 44
 
1.2%
ValueCountFrequency (%)
5881 1
< 0.1%
5843 1
< 0.1%
5835 1
< 0.1%
5818 1
< 0.1%
5816 1
< 0.1%
5811 1
< 0.1%
5793 1
< 0.1%
5740 2
0.1%
5735 2
0.1%
5734 1
< 0.1%

농업생활겸용-이용량
Real number (ℝ)

ZEROS 

Distinct1491
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189218.94
Minimum0
Maximum6850522
Zeros776
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:22.947325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11003
median40400
Q3206466
95-th percentile764282.4
Maximum6850522
Range6850522
Interquartile range (IQR)205463

Descriptive statistics

Standard deviation458209.18
Coefficient of variation (CV)2.421582
Kurtosis90.244926
Mean189218.94
Median Absolute Deviation (MAD)40400
Skewness7.8522933
Sum6.9575804 × 108
Variance2.0995565 × 1011
MonotonicityNot monotonic
2023-12-12T22:14:23.145737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 776
 
21.1%
2380 17
 
0.5%
2920 16
 
0.4%
176900 16
 
0.4%
7920 16
 
0.4%
73493 14
 
0.4%
5711 13
 
0.4%
26280 12
 
0.3%
2399 12
 
0.3%
570 12
 
0.3%
Other values (1481) 2773
75.4%
ValueCountFrequency (%)
0 776
21.1%
5 1
 
< 0.1%
11 1
 
< 0.1%
12 4
 
0.1%
14 4
 
0.1%
16 2
 
0.1%
47 1
 
< 0.1%
58 1
 
< 0.1%
70 2
 
0.1%
72 1
 
< 0.1%
ValueCountFrequency (%)
6850522 1
< 0.1%
6798684 2
0.1%
6789569 1
< 0.1%
6782764 2
0.1%
4887383 1
< 0.1%
4880795 1
< 0.1%
4842668 1
< 0.1%
4822873 1
< 0.1%
4815679 1
< 0.1%
4791018 1
< 0.1%

기타-개소수
Real number (ℝ)

ZEROS 

Distinct538
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.68833
Minimum0
Maximum9704
Zeros44
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:23.706219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q122
median50
Q3106
95-th percentile598.6
Maximum9704
Range9704
Interquartile range (IQR)84

Descriptive statistics

Standard deviation785.12231
Coefficient of variation (CV)3.8735447
Kurtosis94.039073
Mean202.68833
Median Absolute Deviation (MAD)34
Skewness9.0709955
Sum745285
Variance616417.05
MonotonicityNot monotonic
2023-12-12T22:14:23.860588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 55
 
1.5%
12 51
 
1.4%
22 49
 
1.3%
32 48
 
1.3%
20 48
 
1.3%
17 47
 
1.3%
26 46
 
1.3%
7 46
 
1.3%
31 45
 
1.2%
27 45
 
1.2%
Other values (528) 3197
86.9%
ValueCountFrequency (%)
0 44
1.2%
1 33
0.9%
2 37
1.0%
3 38
1.0%
4 38
1.0%
5 32
0.9%
6 42
1.1%
7 46
1.3%
8 40
1.1%
9 40
1.1%
ValueCountFrequency (%)
9704 1
< 0.1%
9695 1
< 0.1%
9676 1
< 0.1%
9656 1
< 0.1%
9636 1
< 0.1%
9600 1
< 0.1%
9485 1
< 0.1%
9465 1
< 0.1%
9400 1
< 0.1%
9385 1
< 0.1%

기타-이용량
Real number (ℝ)

ZEROS 

Distinct3092
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean569290.81
Minimum0
Maximum19723679
Zeros55
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size32.4 KiB
2023-12-12T22:14:24.030981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7357.8
Q176050
median210885
Q3530510
95-th percentile2047976
Maximum19723679
Range19723679
Interquartile range (IQR)454460

Descriptive statistics

Standard deviation1458111.1
Coefficient of variation (CV)2.5612764
Kurtosis102.51491
Mean569290.81
Median Absolute Deviation (MAD)168193
Skewness9.0540877
Sum2.0932823 × 109
Variance2.126088 × 1012
MonotonicityNot monotonic
2023-12-12T22:14:24.212376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
1.5%
8745 8
 
0.2%
4967 5
 
0.1%
20945 5
 
0.1%
50873 5
 
0.1%
91058 5
 
0.1%
647145 4
 
0.1%
330781 4
 
0.1%
189443 4
 
0.1%
175309 4
 
0.1%
Other values (3082) 3578
97.3%
ValueCountFrequency (%)
0 55
1.5%
1 2
 
0.1%
36 2
 
0.1%
60 2
 
0.1%
86 2
 
0.1%
100 3
 
0.1%
348 1
 
< 0.1%
503 2
 
0.1%
639 2
 
0.1%
720 2
 
0.1%
ValueCountFrequency (%)
19723679 1
< 0.1%
19696323 1
< 0.1%
19471569 1
< 0.1%
19188382 1
< 0.1%
18949116 1
< 0.1%
18828168 1
< 0.1%
18658960 1
< 0.1%
18635775 1
< 0.1%
18204208 2
0.1%
18191889 1
< 0.1%

Sample

연도시도시군구총계-개소수총계-이용량가정용-개소수가정용-이용량일반용-개소수일반용-이용량학교용-개소수학교용-이용량민방위용-개소수민방위용-이용량공동주택용-개소수공동주택용-이용량간이상수도용-개소수간이상수도용-이용량상수도-개소수상수도-이용량농업생활겸용-개소수농업생활겸용-이용량기타-개소수기타-이용량
02007강원도강릉시73557173887.063832101575.07273270262.0615042860052280037671535.00015177360127426069
12007강원도고성군12433819997.010731142985.083895897.02114360000335000885690.01109507136200471369675
22007강원도동해시6623548886.0389163954.02092343110.0181538410051518230671016.0215000000951783
32007강원도삼척시18115943572.015102046776.01712611993.02825537235238023030064525246.0001114968522271820
42007강원도속초시2341168921.03219162.0143781506.014132230473000224300.0970242003092538
52007강원도양구군19171025105.01718625464.0121198299.03677302136000022760.034320023394001335080
62007강원도양양군663608183.043481078.0117322953.02219912211991540072311320.00012372045894445
72007강원도영월군8883689977.07252213182.089566530.06559002144032540027422825.000912395027280750
82007강원도원주시1625740330898.01441119993056.0157515205895.011015581983851106300982449465.042007502847519403996
92007강원도인제군35794491438.032974231691.0104117081.0764003736140021536.02312400163130470
연도시도시군구총계-개소수총계-이용량가정용-개소수가정용-이용량일반용-개소수일반용-이용량학교용-개소수학교용-이용량민방위용-개소수민방위용-이용량공동주택용-개소수공동주택용-이용량간이상수도용-개소수간이상수도용-이용량상수도-개소수상수도-이용량농업생활겸용-개소수농업생활겸용-이용량기타-개소수기타-이용량
36672022충청북도단양군16141794134.01084300368.0322514129.0178021761830242820584375458.0225553217500563299895
36682022충청북도보은군54165458702.044801649825.0502836926.038242200788759458452132076875.0128208010026221955253857
36692022충청북도영동군93087696251.084271858881.04171421161.0322586555454718890051601235864.021181747539366169199603570
36702022충청북도옥천군106756253104.096872881762.0648982538.02311270663733010158301441111376.02266086378759692297358
36712022충청북도음성군1125213124392.084063322590.022915092638.03019611310156543273245492332285417.0221900262564992271468143
36722022충청북도제천시67976671745.047611293071.016733178429.051424746179752526816271531326246.000782097873860314
36732022충청북도증평군20492907966.016681653660.03181008985.094740646215721565944530.0003540831120197
36742022충청북도진천군733611401470.051951353699.019107396828.0457668257370286303551251510806.033650001914019646711
36752022충청북도청주시2410721924123.0172575404855.057068734517.0245234215125141377752194023222782406.09781151747079922941513308
36762022충청북도충주시1204013472670.088373035070.018683255184.07513855012424159220399642783803010.0272004685899154681115234