Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 32 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 932.0 B |
| Average record size in memory | 29.1 B |
Variable types
| Text | 1 |
|---|---|
| Numeric | 1 |
| DateTime | 1 |
Dataset
| Description | 공주시 관내 설치된 스마트 워터 미터기 위치 정보로 읍면동에 설치된 스마트워터미터기의 설치 수량에 대한 정보, 읍면동, 설치수량, 데이터 기준일을 포함하고 있습니다. |
|---|---|
| Author | 충청남도 공주시 |
| URL | https://www.data.go.kr/data/15103938/fileData.do |
Reproduction
| Analysis started | 2023-12-12 03:51:57.492024 |
|---|---|
| Analysis finished | 2023-12-12 03:51:57.894261 |
| Duration | 0.4 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
읍면동
Text
UNIQUE
| Distinct | 32 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 388.0 B |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.9375 |
| Min length | 2 |
Characters and Unicode
| Total characters | 94 |
|---|---|
| Distinct characters | 48 |
| 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 | 32 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 반죽동 |
|---|---|
| 2nd row | 봉황동 |
| 3rd row | 중학동 |
| 4th row | 중동 |
| 5th row | 산성동 |
| Value | Count | Frequency (%) |
| 반죽동 | 1 | 3.1% |
| 봉황동 | 1 | 3.1% |
| 이인면 | 1 | 3.1% |
| 유구읍 | 1 | 3.1% |
| 월송동 | 1 | 3.1% |
| 우성면 | 1 | 3.1% |
| 신풍면 | 1 | 3.1% |
| 사곡면 | 1 | 3.1% |
| 봉정동 | 1 | 3.1% |
| 계룡면 | 1 | 3.1% |
| Other values (22) | 22 |
Most occurring characters
| Value | Count | Frequency (%) |
| 동 | 23 | |
| 면 | 8 | 8.5% |
| 신 | 4 | 4.3% |
| 봉 | 3 | 3.2% |
| 학 | 3 | 3.2% |
| 성 | 3 | 3.2% |
| 금 | 3 | 3.2% |
| 룡 | 2 | 2.1% |
| 상 | 2 | 2.1% |
| 송 | 2 | 2.1% |
| Other values (38) | 41 |
Most occurring categories
| Value | Count | Frequency (%) |
| Other Letter | 94 |
Most frequent character per category
Other Letter
| Value | Count | Frequency (%) |
| 동 | 23 | |
| 면 | 8 | 8.5% |
| 신 | 4 | 4.3% |
| 봉 | 3 | 3.2% |
| 학 | 3 | 3.2% |
| 성 | 3 | 3.2% |
| 금 | 3 | 3.2% |
| 룡 | 2 | 2.1% |
| 상 | 2 | 2.1% |
| 송 | 2 | 2.1% |
| Other values (38) | 41 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Hangul | 94 |
Most frequent character per script
Hangul
| Value | Count | Frequency (%) |
| 동 | 23 | |
| 면 | 8 | 8.5% |
| 신 | 4 | 4.3% |
| 봉 | 3 | 3.2% |
| 학 | 3 | 3.2% |
| 성 | 3 | 3.2% |
| 금 | 3 | 3.2% |
| 룡 | 2 | 2.1% |
| 상 | 2 | 2.1% |
| 송 | 2 | 2.1% |
| Other values (38) | 41 |
Most occurring blocks
| Value | Count | Frequency (%) |
| Hangul | 94 |
Most frequent character per block
Hangul
| Value | Count | Frequency (%) |
| 동 | 23 | |
| 면 | 8 | 8.5% |
| 신 | 4 | 4.3% |
| 봉 | 3 | 3.2% |
| 학 | 3 | 3.2% |
| 성 | 3 | 3.2% |
| 금 | 3 | 3.2% |
| 룡 | 2 | 2.1% |
| 상 | 2 | 2.1% |
| 송 | 2 | 2.1% |
| Other values (38) | 41 |
수량
Real number (ℝ)
| Distinct | 25 |
|---|---|
| Distinct (%) | 78.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 100.96875 |
| Minimum | 1 |
|---|---|
| Maximum | 2199 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 420.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 7 |
| median | 20.5 |
| Q3 | 48.25 |
| 95-th percentile | 113.35 |
| Maximum | 2199 |
| Range | 2198 |
| Interquartile range (IQR) | 41.25 |
Descriptive statistics
| Standard deviation | 384.38014 |
|---|---|
| Coefficient of variation (CV) | 3.8069219 |
| Kurtosis | 31.441287 |
| Mean | 100.96875 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 5.5858385 |
| Sum | 3231 |
| Variance | 147748.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 7 | 3 | 9.4% |
| 8 | 3 | 9.4% |
| 15 | 2 | 6.2% |
| 2 | 2 | 6.2% |
| 45 | 2 | 6.2% |
| 22 | 1 | 3.1% |
| 52 | 1 | 3.1% |
| 33 | 1 | 3.1% |
| 2199 | 1 | 3.1% |
| 99 | 1 | 3.1% |
| Other values (15) | 15 |
| Value | Count | Frequency (%) |
| 1 | 1 | 3.1% |
| 2 | 2 | |
| 4 | 1 | 3.1% |
| 5 | 1 | 3.1% |
| 6 | 1 | 3.1% |
| 7 | 3 | |
| 8 | 3 | |
| 10 | 1 | 3.1% |
| 15 | 2 | |
| 20 | 1 | 3.1% |
| Value | Count | Frequency (%) |
| 2199 | 1 | |
| 126 | 1 | |
| 103 | 1 | |
| 99 | 1 | |
| 88 | 1 | |
| 83 | 1 | |
| 69 | 1 | |
| 52 | 1 | |
| 47 | 1 | |
| 45 | 2 |
기준일
Date
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 3.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 388.0 B |
| Minimum | 2022-08-12 00:00:00 |
|---|---|
| Maximum | 2022-08-12 00:00:00 |
Histogram with fixed size bins (bins=1)
| 읍면동 | 수량 | |
|---|---|---|
| 읍면동 | 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.
| 읍면동 | 수량 | 기준일 | |
|---|---|---|---|
| 0 | 반죽동 | 45 | 2022-08-12 |
| 1 | 봉황동 | 20 | 2022-08-12 |
| 2 | 중학동 | 21 | 2022-08-12 |
| 3 | 중동 | 42 | 2022-08-12 |
| 4 | 산성동 | 83 | 2022-08-12 |
| 5 | 교동 | 22 | 2022-08-12 |
| 6 | 금성동 | 45 | 2022-08-12 |
| 7 | 옥룡동 | 103 | 2022-08-12 |
| 8 | 금학동 | 8 | 2022-08-12 |
| 9 | 태봉동 | 6 | 2022-08-12 |
| 읍면동 | 수량 | 기준일 | |
|---|---|---|---|
| 22 | 검상동 | 5 | 2022-08-12 |
| 23 | 계룡면 | 88 | 2022-08-12 |
| 24 | 봉정동 | 2 | 2022-08-12 |
| 25 | 사곡면 | 32 | 2022-08-12 |
| 26 | 신풍면 | 15 | 2022-08-12 |
| 27 | 우성면 | 99 | 2022-08-12 |
| 28 | 월송동 | 7 | 2022-08-12 |
| 29 | 유구읍 | 2199 | 2022-08-12 |
| 30 | 이인면 | 15 | 2022-08-12 |
| 31 | 탄천면 | 33 | 2022-08-12 |