Overview

Dataset statistics

Number of variables3
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory26.1 B

Variable types

Numeric1
Text1
Categorical1

Dataset

Description단양군 내에 설치된 스마트수도검침기 설치현황으로 설치 위치, 순번, 엡데이트 일자 등으로 목록을 구성하였으며 연간 주기로 업데이트 되는 데이터 입니다.
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15104055/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:51:51.267245
Analysis finished2023-12-12 18:51:52.195066
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.5
Minimum1
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:51:52.298900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.75
Q129.75
median58.5
Q387.25
95-th percentile110.25
Maximum116
Range115
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation33.630343
Coefficient of variation (CV)0.57487767
Kurtosis-1.2
Mean58.5
Median Absolute Deviation (MAD)29
Skewness0
Sum6786
Variance1131
MonotonicityStrictly increasing
2023-12-13T03:51:52.502266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
75 1
 
0.9%
87 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
116 1
0.9%
115 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%

주소
Text

Distinct110
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T03:51:52.823108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33.5
Mean length26.482759
Min length19

Characters and Unicode

Total characters3072
Distinct characters136
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

Unique104 ?
Unique (%)89.7%

Sample

1st row단양읍 중앙1로 10/ 단양읍 별곡리 300 (재무과재산팀)
2nd row단양읍 군청로/ 단양읍 별곡리 산 13-1
3rd row단양읍 별곡3로 39-16/ 단양읍 별곡리 106-1
4th row단양읍 중앙1로 23/ 단양읍 별곡리 305
5th row단양읍 별곡6길 10/ 단양읍 별곡리 309
ValueCountFrequency (%)
단양읍 100
 
14.2%
매포읍 60
 
8.5%
영춘면 24
 
3.4%
상진리 21
 
3.0%
별곡리 20
 
2.8%
가곡면 14
 
2.0%
삼봉로 12
 
1.7%
대강면 11
 
1.6%
단성면 10
 
1.4%
평동리 9
 
1.3%
Other values (273) 422
60.0%
2023-12-13T03:51:53.368014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
587
19.1%
1 163
 
5.3%
읍 162
 
5.3%
단 126
 
4.1%
리 122
 
4.0%
양 112
 
3.6%
/ 111
 
3.6%
2 96
 
3.1%
3 87
 
2.8%
로 78
 
2.5%
Other values (126) 1428
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1528
49.7%
Decimal Number 738
24.0%
Space Separator 587
 
19.1%
Other Punctuation 111
 
3.6%
Dash Punctuation 69
 
2.2%
Close Punctuation 18
 
0.6%
Open Punctuation 18
 
0.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
읍 162
 
10.6%
단 126
 
8.2%
리 122
 
8.0%
양 112
 
7.3%
로 78
 
5.1%
매 70
 
4.6%
면 70
 
4.6%
포 70
 
4.6%
상 55
 
3.6%
곡 46
 
3.0%
Other values (108) 617
40.4%
Decimal Number
ValueCountFrequency (%)
1 163
22.1%
2 96
13.0%
3 87
11.8%
0 75
10.2%
9 59
 
8.0%
5 57
 
7.7%
4 52
 
7.0%
6 51
 
6.9%
7 50
 
6.8%
8 48
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
R 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
587
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1541
50.2%
Hangul 1528
49.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
읍 162
 
10.6%
단 126
 
8.2%
리 122
 
8.0%
양 112
 
7.3%
로 78
 
5.1%
매 70
 
4.6%
면 70
 
4.6%
포 70
 
4.6%
상 55
 
3.6%
곡 46
 
3.0%
Other values (108) 617
40.4%
Common
ValueCountFrequency (%)
587
38.1%
1 163
 
10.6%
/ 111
 
7.2%
2 96
 
6.2%
3 87
 
5.6%
0 75
 
4.9%
- 69
 
4.5%
9 59
 
3.8%
5 57
 
3.7%
4 52
 
3.4%
Other values (5) 185
 
12.0%
Latin
ValueCountFrequency (%)
M 1
33.3%
R 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1544
50.3%
Hangul 1528
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
587
38.0%
1 163
 
10.6%
/ 111
 
7.2%
2 96
 
6.2%
3 87
 
5.6%
0 75
 
4.9%
- 69
 
4.5%
9 59
 
3.8%
5 57
 
3.7%
4 52
 
3.4%
Other values (8) 188
 
12.2%
Hangul
ValueCountFrequency (%)
읍 162
 
10.6%
단 126
 
8.2%
리 122
 
8.0%
양 112
 
7.3%
로 78
 
5.1%
매 70
 
4.6%
면 70
 
4.6%
포 70
 
4.6%
상 55
 
3.6%
곡 46
 
3.0%
Other values (108) 617
40.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2022-08-09
116 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-09
2nd row2022-08-09
3rd row2022-08-09
4th row2022-08-09
5th row2022-08-09

Common Values

ValueCountFrequency (%)
2022-08-09 116
100.0%

Length

2023-12-13T03:51:53.588242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:51:53.747388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-09 116
100.0%

Interactions

2023-12-13T03:51:51.846222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T03:51:52.006908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:51:52.138514image/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

순번주소데이터기준일자
01단양읍 중앙1로 10/ 단양읍 별곡리 300 (재무과재산팀)2022-08-09
12단양읍 군청로/ 단양읍 별곡리 산 13-12022-08-09
23단양읍 별곡3로 39-16/ 단양읍 별곡리 106-12022-08-09
34단양읍 중앙1로 23/ 단양읍 별곡리 3052022-08-09
45단양읍 별곡6길 10/ 단양읍 별곡리 3092022-08-09
56단양읍 수변로 99/ 단양읍 별곡리 566-12022-08-09
67단양읍 별곡7길 4/ 단양읍 별곡리 570-12022-08-09
78단양읍 별곡7길 12/ 단양읍 별곡리 570-22022-08-09
89단양읍 삼봉로 316/ 단양읍 별곡리 5792022-08-09
910단양읍 별곡12길 5/ 단양읍 별곡리 639-1 (문화체육과)2022-08-09
순번주소데이터기준일자
106107어상천면 어상천로 908-1/ 어상천면 임현리 1160-32022-08-09
107108영춘면 장발선돌길 14/ 영춘면 장발리 215-12022-08-09
108109매포읍 평동로 122/ 매포읍 평동리 12272022-08-09
109110매포읍 단양로 1397-3/ 매포읍 응실리 1902022-08-09
110111단양읍 별곡3로 / 단양읍 별곡리 산 11 (관광정책과)2022-08-09
111112어상천면 대전2길 17/ 어상천면 대전리 6582022-08-09
112113매포읍 매포길 18/ 매포읍 매포리 133-22022-08-09
113114가곡면 새밭로/ 가곡면 대대리 584 단양군산림조합톱밥공장2022-08-09
114115영춘면 강변로/ 영춘면 상리 7152022-08-09
115116매포읍 평동4로 101-1/ 매포읍 평동리 13022022-08-09