Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 24 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 732.0 B |
| Average record size in memory | 30.5 B |
Variable types
| Text | 1 |
|---|---|
| Numeric | 1 |
| DateTime | 1 |
Dataset
| Description | 스마트워터미터기(수도사용량 원격검침기) 설치 현황 내역이며, 검침원이 직접 방문하지 않고 원격으로 수도 사용량을 확인 가능한 스마트워터미터기 주소 및 위치 정보 자료입니다. |
|---|---|
| Author | 경상남도 통영시 |
| URL | https://www.data.go.kr/data/15104175/fileData.do |
Reproduction
| Analysis started | 2023-12-12 14:43:08.382083 |
|---|---|
| Analysis finished | 2023-12-12 14:43:08.658700 |
| Duration | 0.28 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
법정읍면동
Text
UNIQUE
| Distinct | 24 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 324.0 B |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.9583333 |
| Min length | 2 |
Characters and Unicode
| Total characters | 71 |
|---|---|
| Distinct characters | 36 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 24 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 산양읍 |
|---|---|
| 2nd row | 용남면 |
| 3rd row | 도산면 |
| 4th row | 광도면 |
| 5th row | 욕지면 |
| Value | Count | Frequency (%) |
| 산양읍 | 1 | 4.2% |
| 용남면 | 1 | 4.2% |
| 봉평동 | 1 | 4.2% |
| 미수동 | 1 | 4.2% |
| 무전동 | 1 | 4.2% |
| 북신동 | 1 | 4.2% |
| 동호동 | 1 | 4.2% |
| 정량동 | 1 | 4.2% |
| 태평동 | 1 | 4.2% |
| 문화동 | 1 | 4.2% |
| Other values (14) | 14 |
Most occurring characters
| Value | Count | Frequency (%) |
| 동 | 18 | |
| 면 | 6 | 8.5% |
| 평 | 4 | 5.6% |
| 도 | 4 | 5.6% |
| 산 | 3 | 4.2% |
| 남 | 3 | 4.2% |
| 호 | 2 | 2.8% |
| 량 | 2 | 2.8% |
| 정 | 2 | 2.8% |
| 신 | 1 | 1.4% |
| Other values (26) | 26 |
Most occurring categories
| Value | Count | Frequency (%) |
| Other Letter | 71 |
Most frequent character per category
Other Letter
| Value | Count | Frequency (%) |
| 동 | 18 | |
| 면 | 6 | 8.5% |
| 평 | 4 | 5.6% |
| 도 | 4 | 5.6% |
| 산 | 3 | 4.2% |
| 남 | 3 | 4.2% |
| 호 | 2 | 2.8% |
| 량 | 2 | 2.8% |
| 정 | 2 | 2.8% |
| 신 | 1 | 1.4% |
| Other values (26) | 26 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Hangul | 71 |
Most frequent character per script
Hangul
| Value | Count | Frequency (%) |
| 동 | 18 | |
| 면 | 6 | 8.5% |
| 평 | 4 | 5.6% |
| 도 | 4 | 5.6% |
| 산 | 3 | 4.2% |
| 남 | 3 | 4.2% |
| 호 | 2 | 2.8% |
| 량 | 2 | 2.8% |
| 정 | 2 | 2.8% |
| 신 | 1 | 1.4% |
| Other values (26) | 26 |
Most occurring blocks
| Value | Count | Frequency (%) |
| Hangul | 71 |
Most frequent character per block
Hangul
| Value | Count | Frequency (%) |
| 동 | 18 | |
| 면 | 6 | 8.5% |
| 평 | 4 | 5.6% |
| 도 | 4 | 5.6% |
| 산 | 3 | 4.2% |
| 남 | 3 | 4.2% |
| 호 | 2 | 2.8% |
| 량 | 2 | 2.8% |
| 정 | 2 | 2.8% |
| 신 | 1 | 1.4% |
| Other values (26) | 26 |
수량
Real number (ℝ)
| Distinct | 23 |
|---|---|
| Distinct (%) | 95.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.958333 |
| Minimum | 3 |
|---|---|
| Maximum | 479 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 348.0 B |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 5.3 |
| Q1 | 15.5 |
| median | 31 |
| Q3 | 55.25 |
| 95-th percentile | 118.25 |
| Maximum | 479 |
| Range | 476 |
| Interquartile range (IQR) | 39.75 |
Descriptive statistics
| Standard deviation | 95.793927 |
|---|---|
| Coefficient of variation (CV) | 1.6247733 |
| Kurtosis | 17.493627 |
| Mean | 58.958333 |
| Median Absolute Deviation (MAD) | 22 |
| Skewness | 3.9653573 |
| Sum | 1415 |
| Variance | 9176.4764 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 32 | 2 | 8.3% |
| 114 | 1 | 4.2% |
| 7 | 1 | 4.2% |
| 49 | 1 | 4.2% |
| 30 | 1 | 4.2% |
| 24 | 1 | 4.2% |
| 108 | 1 | 4.2% |
| 8 | 1 | 4.2% |
| 53 | 1 | 4.2% |
| 26 | 1 | 4.2% |
| Other values (13) | 13 |
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 5 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 11 | 1 | |
| 17 | 1 | |
| 24 | 1 | |
| 25 | 1 | |
| 26 | 1 |
| Value | Count | Frequency (%) |
| 479 | 1 | |
| 119 | 1 | |
| 114 | 1 | |
| 108 | 1 | |
| 82 | 1 | |
| 56 | 1 | |
| 55 | 1 | |
| 53 | 1 | |
| 49 | 1 | |
| 44 | 1 |
기준일
Date
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 324.0 B |
| Minimum | 2022-08-16 00:00:00 |
|---|---|
| Maximum | 2022-08-16 00:00:00 |
Histogram with fixed size bins (bins=1)
| 법정읍면동 | 수량 | |
|---|---|---|
| 법정읍면동 | 1.000 | 1.000 |
| 수량 | 1.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| 법정읍면동 | 수량 | 기준일 | |
|---|---|---|---|
| 0 | 산양읍 | 114 | 2022-08-16 |
| 1 | 용남면 | 56 | 2022-08-16 |
| 2 | 도산면 | 55 | 2022-08-16 |
| 3 | 광도면 | 82 | 2022-08-16 |
| 4 | 욕지면 | 44 | 2022-08-16 |
| 5 | 한산면 | 479 | 2022-08-16 |
| 6 | 사량면 | 32 | 2022-08-16 |
| 7 | 도천동 | 119 | 2022-08-16 |
| 8 | 인평동 | 25 | 2022-08-16 |
| 9 | 당동 | 11 | 2022-08-16 |
| 법정읍면동 | 수량 | 기준일 | |
|---|---|---|---|
| 14 | 항남동 | 3 | 2022-08-16 |
| 15 | 문화동 | 5 | 2022-08-16 |
| 16 | 태평동 | 26 | 2022-08-16 |
| 17 | 정량동 | 53 | 2022-08-16 |
| 18 | 동호동 | 8 | 2022-08-16 |
| 19 | 북신동 | 108 | 2022-08-16 |
| 20 | 무전동 | 24 | 2022-08-16 |
| 21 | 미수동 | 30 | 2022-08-16 |
| 22 | 봉평동 | 32 | 2022-08-16 |
| 23 | 도남동 | 49 | 2022-08-16 |