Overview

Dataset statistics

Number of variables4
Number of observations3921
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.5 KiB
Average record size in memory33.0 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description현재 청양군 관내 스마트워터미터기 위치정보(검침원이 직접 방문하지 않고 원격으로 수도 사용량 확인이 가능) 설치 완료 및 활용되고 있는 주소지를 제공합니다.
URLhttps://www.data.go.kr/data/15104924/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:31:11.289182
Analysis finished2023-12-12 10:31:11.959963
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3921
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1961
Minimum1
Maximum3921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.6 KiB
2023-12-12T19:31:12.070719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile197
Q1981
median1961
Q32941
95-th percentile3725
Maximum3921
Range3920
Interquartile range (IQR)1960

Descriptive statistics

Standard deviation1132.0395
Coefficient of variation (CV)0.57727666
Kurtosis-1.2
Mean1961
Median Absolute Deviation (MAD)980
Skewness0
Sum7689081
Variance1281513.5
MonotonicityStrictly increasing
2023-12-12T19:31:12.285959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2606 1
 
< 0.1%
2608 1
 
< 0.1%
2609 1
 
< 0.1%
2610 1
 
< 0.1%
2611 1
 
< 0.1%
2612 1
 
< 0.1%
2613 1
 
< 0.1%
2614 1
 
< 0.1%
2615 1
 
< 0.1%
Other values (3911) 3911
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3921 1
< 0.1%
3920 1
< 0.1%
3919 1
< 0.1%
3918 1
< 0.1%
3917 1
< 0.1%
3916 1
< 0.1%
3915 1
< 0.1%
3914 1
< 0.1%
3913 1
< 0.1%
3912 1
< 0.1%
Distinct3396
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size30.8 KiB
2023-12-12T19:31:12.725369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length22.107626
Min length17

Characters and Unicode

Total characters86684
Distinct characters191
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3263 ?
Unique (%)83.2%

Sample

1st row충청남도 청양군 청양읍 칠갑산로 9길 18-11
2nd row충청남도 청양군 청양읍 중앙로 139
3rd row충청남도 청양군 청양읍 칠갑산로 5길 5-3
4th row충청남도 청양군 청양읍 읍내리 153-2
5th row충청남도 청양군 청양읍 칠갑산로 7길 54
ValueCountFrequency (%)
충청남도 3921
19.7%
청양군 3921
19.7%
정산면 1222
 
6.1%
청양읍 1059
 
5.3%
화성면 707
 
3.6%
목면 387
 
1.9%
칠갑산로 306
 
1.5%
대치면 233
 
1.2%
중앙로 207
 
1.0%
충의로 174
 
0.9%
Other values (2626) 7760
39.0%
2023-12-12T19:31:13.325015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17235
19.9%
9067
 
10.5%
5152
 
5.9%
4228
 
4.9%
4133
 
4.8%
3931
 
4.5%
3923
 
4.5%
1 3068
 
3.5%
2898
 
3.3%
2728
 
3.1%
Other values (181) 30321
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53269
61.5%
Space Separator 17235
 
19.9%
Decimal Number 13901
 
16.0%
Dash Punctuation 2278
 
2.6%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9067
17.0%
5152
 
9.7%
4228
 
7.9%
4133
 
7.8%
3931
 
7.4%
3923
 
7.4%
2898
 
5.4%
2728
 
5.1%
1802
 
3.4%
1712
 
3.2%
Other values (168) 13695
25.7%
Decimal Number
ValueCountFrequency (%)
1 3068
22.1%
2 1826
13.1%
4 1364
9.8%
3 1360
9.8%
5 1356
9.8%
6 1135
 
8.2%
8 1045
 
7.5%
7 992
 
7.1%
9 879
 
6.3%
0 876
 
6.3%
Space Separator
ValueCountFrequency (%)
17235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2278
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53269
61.5%
Common 33414
38.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9067
17.0%
5152
 
9.7%
4228
 
7.9%
4133
 
7.8%
3931
 
7.4%
3923
 
7.4%
2898
 
5.4%
2728
 
5.1%
1802
 
3.4%
1712
 
3.2%
Other values (168) 13695
25.7%
Common
ValueCountFrequency (%)
17235
51.6%
1 3068
 
9.2%
- 2278
 
6.8%
2 1826
 
5.5%
4 1364
 
4.1%
3 1360
 
4.1%
5 1356
 
4.1%
6 1135
 
3.4%
8 1045
 
3.1%
7 992
 
3.0%
Other values (2) 1755
 
5.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53269
61.5%
ASCII 33415
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17235
51.6%
1 3068
 
9.2%
- 2278
 
6.8%
2 1826
 
5.5%
4 1364
 
4.1%
3 1360
 
4.1%
5 1356
 
4.1%
6 1135
 
3.4%
8 1045
 
3.1%
7 992
 
3.0%
Other values (3) 1756
 
5.3%
Hangul
ValueCountFrequency (%)
9067
17.0%
5152
 
9.7%
4228
 
7.9%
4133
 
7.8%
3931
 
7.4%
3923
 
7.4%
2898
 
5.4%
2728
 
5.1%
1802
 
3.4%
1712
 
3.2%
Other values (168) 13695
25.7%
Distinct991
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size30.8 KiB
2023-12-12T19:31:13.744894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length17.681714
Min length9

Characters and Unicode

Total characters69330
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique830 ?
Unique (%)21.2%

Sample

1st row충청남도 청양군 청양읍 읍내1리79
2nd row충청남도 청양군 청양읍 읍내리
3rd row충청남도 청양군 청양읍 칠갑산로 5길 5-1
4th row충청남도 청양군 청양읍 읍내리
5th row충청남도 청양군 청양읍 읍내2리
ValueCountFrequency (%)
충청남도 3921
24.4%
청양군 3921
24.4%
정산면 1210
 
7.5%
청양읍 981
 
6.1%
화성면 707
 
4.4%
목면 344
 
2.1%
서정1리 257
 
1.6%
대치면 233
 
1.4%
남양면 172
 
1.1%
산정리 148
 
0.9%
Other values (925) 4200
26.1%
2023-12-12T19:31:14.333410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13836
20.0%
8934
12.9%
5184
 
7.5%
4218
 
6.1%
3946
 
5.7%
3921
 
5.7%
3921
 
5.7%
3321
 
4.8%
2806
 
4.0%
2253
 
3.2%
Other values (109) 16990
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49521
71.4%
Space Separator 13836
 
20.0%
Decimal Number 5136
 
7.4%
Dash Punctuation 617
 
0.9%
Open Punctuation 109
 
0.2%
Close Punctuation 108
 
0.2%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8934
18.0%
5184
10.5%
4218
8.5%
3946
8.0%
3921
7.9%
3921
7.9%
3321
 
6.7%
2806
 
5.7%
2253
 
4.5%
1476
 
3.0%
Other values (92) 9541
19.3%
Decimal Number
ValueCountFrequency (%)
1 1771
34.5%
2 817
15.9%
4 496
 
9.7%
3 328
 
6.4%
6 319
 
6.2%
5 301
 
5.9%
8 293
 
5.7%
9 283
 
5.5%
7 278
 
5.4%
0 250
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
13836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 617
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49521
71.4%
Common 19808
 
28.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8934
18.0%
5184
10.5%
4218
8.5%
3946
8.0%
3921
7.9%
3921
7.9%
3321
 
6.7%
2806
 
5.7%
2253
 
4.5%
1476
 
3.0%
Other values (92) 9541
19.3%
Common
ValueCountFrequency (%)
13836
69.9%
1 1771
 
8.9%
2 817
 
4.1%
- 617
 
3.1%
4 496
 
2.5%
3 328
 
1.7%
6 319
 
1.6%
5 301
 
1.5%
8 293
 
1.5%
9 283
 
1.4%
Other values (6) 747
 
3.8%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49521
71.4%
ASCII 19809
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13836
69.8%
1 1771
 
8.9%
2 817
 
4.1%
- 617
 
3.1%
4 496
 
2.5%
3 328
 
1.7%
6 319
 
1.6%
5 301
 
1.5%
8 293
 
1.5%
9 283
 
1.4%
Other values (7) 748
 
3.8%
Hangul
ValueCountFrequency (%)
8934
18.0%
5184
10.5%
4218
8.5%
3946
8.0%
3921
7.9%
3921
7.9%
3321
 
6.7%
2806
 
5.7%
2253
 
4.5%
1476
 
3.0%
Other values (92) 9541
19.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.8 KiB
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-12T19:31:14.476879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:31:14.595190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:31:11.609470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T19:31:11.803181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:31:11.916236image/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

연번도로명 주소지번 주소데이터기준일
01충청남도 청양군 청양읍 칠갑산로 9길 18-11충청남도 청양군 청양읍 읍내1리792023-08-24
12충청남도 청양군 청양읍 중앙로 139충청남도 청양군 청양읍 읍내리2023-08-24
23충청남도 청양군 청양읍 칠갑산로 5길 5-3충청남도 청양군 청양읍 칠갑산로 5길 5-12023-08-24
34충청남도 청양군 청양읍 읍내리 153-2충청남도 청양군 청양읍 읍내리2023-08-24
45충청남도 청양군 청양읍 칠갑산로 7길 54충청남도 청양군 청양읍 읍내2리2023-08-24
56충청남도 청양군 청양읍 중앙로 11길 19충청남도 청양군 청양읍 현대빌라2023-08-24
67충청남도 청양군 청양읍 칠갑산로 16길 27충청남도 청양군 청양읍 읍내리104-1972023-08-24
78충청남도 청양군 청양읍 칠갑산로 열길 27충청남도 청양군 청양읍 읍내리2023-08-24
89충청남도 청양군 청양읍 칠갑산로 열길 6충청남도 청양군 청양읍 읍내4리171-22023-08-24
910충청남도 청양군 청양읍 읍내리 332-4충청남도 청양군 청양읍 읍내리2023-08-24
연번도로명 주소지번 주소데이터기준일
39113912충청남도 청양군 비봉면 원동길 91충청남도 청양군 비봉면 신원1리2023-08-24
39123913충청남도 청양군 비봉면 원동길 97충청남도 청양군 비봉면 신원1리2023-08-24
39133914충청남도 청양군 비봉면 원동길 98-3충청남도 청양군 비봉면 신원1리2023-08-24
39143915충청남도 청양군 비봉면 원동길 100-8충청남도 청양군 비봉면 신원1리2023-08-24
39153916충청남도 청양군 비봉면 원동길 123충청남도 청양군 비봉면 신원1리2023-08-24
39163917충청남도 청양군 비봉면 원동길 109충청남도 청양군 비봉면 신원1리2023-08-24
39173918충청남도 청양군 비봉면 원동길 107충청남도 청양군 비봉면 신원1리2023-08-24
39183919충청남도 청양군 비봉면 원동길 106-9충청남도 청양군 비봉면 신원1리2023-08-24
39193920충청남도 청양군 비봉면 원동길 103충청남도 청양군 비봉면 신원1리2023-08-24
39203921충청남도 청양군 비봉면 원동길 97-1충청남도 청양군 비봉면 신원1리2023-08-24