Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 25 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 782.0 B |
| Average record size in memory | 31.3 B |
Variable types
| Text | 1 |
|---|---|
| Numeric | 2 |
Dataset
| Description | 파일 다운로드 |
|---|---|
| Author | 서울특별시 |
| URL | https://data.seoul.go.kr/dataList/OA-21231/S/1/datasetView.do |
정류장ARS(앞2자리) is highly overall correlated with 정류장ID(앞3자리) | High correlation |
정류장ID(앞3자리) is highly overall correlated with 정류장ARS(앞2자리) | High correlation |
자치구 has unique values | Unique |
정류장ARS(앞2자리) has unique values | Unique |
정류장ID(앞3자리) has unique values | Unique |
Reproduction
| Analysis started | 2024-05-03 21:14:25.866030 |
|---|---|
| Analysis finished | 2024-05-03 21:14:28.151080 |
| Duration | 2.29 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
자치구
Text
UNIQUE
| Distinct | 25 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 332.0 B |
Length
| Max length | 4 |
|---|---|
| Median length | 3 |
| Mean length | 3.08 |
| Min length | 2 |
Characters and Unicode
| Total characters | 77 |
|---|---|
| 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 | 25 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 종로구 |
|---|---|
| 2nd row | 중구 |
| 3rd row | 용산구 |
| 4th row | 성동구 |
| 5th row | 광진구 |
| Value | Count | Frequency (%) |
| 종로구 | 1 | 4.0% |
| 마포구 | 1 | 4.0% |
| 송파구 | 1 | 4.0% |
| 강남구 | 1 | 4.0% |
| 서초구 | 1 | 4.0% |
| 관악구 | 1 | 4.0% |
| 동작구 | 1 | 4.0% |
| 영등포구 | 1 | 4.0% |
| 금천구 | 1 | 4.0% |
| 구로구 | 1 | 4.0% |
| Other values (15) | 15 |
Most occurring characters
| Value | Count | Frequency (%) |
| 구 | 26 | |
| 동 | 4 | 5.2% |
| 강 | 4 | 5.2% |
| 서 | 3 | 3.9% |
| 문 | 2 | 2.6% |
| 중 | 2 | 2.6% |
| 천 | 2 | 2.6% |
| 성 | 2 | 2.6% |
| 로 | 2 | 2.6% |
| 대 | 2 | 2.6% |
| Other values (26) | 28 |
Most occurring categories
| Value | Count | Frequency (%) |
| Other Letter | 77 |
Most frequent character per category
Other Letter
| Value | Count | Frequency (%) |
| 구 | 26 | |
| 동 | 4 | 5.2% |
| 강 | 4 | 5.2% |
| 서 | 3 | 3.9% |
| 문 | 2 | 2.6% |
| 중 | 2 | 2.6% |
| 천 | 2 | 2.6% |
| 성 | 2 | 2.6% |
| 로 | 2 | 2.6% |
| 대 | 2 | 2.6% |
| Other values (26) | 28 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Hangul | 77 |
Most frequent character per script
Hangul
| Value | Count | Frequency (%) |
| 구 | 26 | |
| 동 | 4 | 5.2% |
| 강 | 4 | 5.2% |
| 서 | 3 | 3.9% |
| 문 | 2 | 2.6% |
| 중 | 2 | 2.6% |
| 천 | 2 | 2.6% |
| 성 | 2 | 2.6% |
| 로 | 2 | 2.6% |
| 대 | 2 | 2.6% |
| Other values (26) | 28 |
Most occurring blocks
| Value | Count | Frequency (%) |
| Hangul | 77 |
Most frequent character per block
Hangul
| Value | Count | Frequency (%) |
| 구 | 26 | |
| 동 | 4 | 5.2% |
| 강 | 4 | 5.2% |
| 서 | 3 | 3.9% |
| 문 | 2 | 2.6% |
| 중 | 2 | 2.6% |
| 천 | 2 | 2.6% |
| 성 | 2 | 2.6% |
| 로 | 2 | 2.6% |
| 대 | 2 | 2.6% |
| Other values (26) | 28 |
정류장ARS(앞2자리)
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 25 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13 |
| Minimum | 1 |
|---|---|
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 357.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2.2 |
| Q1 | 7 |
| median | 13 |
| Q3 | 19 |
| 95-th percentile | 23.8 |
| Maximum | 25 |
| Range | 24 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 7.3598007 |
|---|---|
| Coefficient of variation (CV) | 0.56613852 |
| Kurtosis | -1.2 |
| Mean | 13 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0 |
| Sum | 325 |
| Variance | 54.166667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 1 | 1 | 4.0% |
| 2 | 1 | 4.0% |
| 25 | 1 | 4.0% |
| 24 | 1 | 4.0% |
| 23 | 1 | 4.0% |
| 22 | 1 | 4.0% |
| 21 | 1 | 4.0% |
| 20 | 1 | 4.0% |
| 19 | 1 | 4.0% |
| 18 | 1 | 4.0% |
| Other values (15) | 15 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 25 | 1 | |
| 24 | 1 | |
| 23 | 1 | |
| 22 | 1 | |
| 21 | 1 | |
| 20 | 1 | |
| 19 | 1 | |
| 18 | 1 | |
| 17 | 1 | |
| 16 | 1 |
정류장ID(앞3자리)
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 25 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 112 |
| Minimum | 100 |
|---|---|
| Maximum | 124 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 357.0 B |
Quantile statistics
| Minimum | 100 |
|---|---|
| 5-th percentile | 101.2 |
| Q1 | 106 |
| median | 112 |
| Q3 | 118 |
| 95-th percentile | 122.8 |
| Maximum | 124 |
| Range | 24 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 7.3598007 |
|---|---|
| Coefficient of variation (CV) | 0.065712506 |
| Kurtosis | -1.2 |
| Mean | 112 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0 |
| Sum | 2800 |
| Variance | 54.166667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 100 | 1 | 4.0% |
| 101 | 1 | 4.0% |
| 124 | 1 | 4.0% |
| 123 | 1 | 4.0% |
| 122 | 1 | 4.0% |
| 121 | 1 | 4.0% |
| 120 | 1 | 4.0% |
| 119 | 1 | 4.0% |
| 118 | 1 | 4.0% |
| 117 | 1 | 4.0% |
| Other values (15) | 15 |
| Value | Count | Frequency (%) |
| 100 | 1 | |
| 101 | 1 | |
| 102 | 1 | |
| 103 | 1 | |
| 104 | 1 | |
| 105 | 1 | |
| 106 | 1 | |
| 107 | 1 | |
| 108 | 1 | |
| 109 | 1 |
| Value | Count | Frequency (%) |
| 124 | 1 | |
| 123 | 1 | |
| 122 | 1 | |
| 121 | 1 | |
| 120 | 1 | |
| 119 | 1 | |
| 118 | 1 | |
| 117 | 1 | |
| 116 | 1 | |
| 115 | 1 |
| 자치구 | 정류장ARS(앞2자리) | 정류장ID(앞3자리) | |
|---|---|---|---|
| 자치구 | 1.000 | 1.000 | 1.000 |
| 정류장ARS(앞2자리) | 1.000 | 1.000 | 0.999 |
| 정류장ID(앞3자리) | 1.000 | 0.999 | 1.000 |
| 정류장ARS(앞2자리) | 정류장ID(앞3자리) | |
|---|---|---|
| 정류장ARS(앞2자리) | 1.000 | 1.000 |
| 정류장ID(앞3자리) | 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.
| 자치구 | 정류장ARS(앞2자리) | 정류장ID(앞3자리) | |
|---|---|---|---|
| 0 | 종로구 | 1 | 100 |
| 1 | 중구 | 2 | 101 |
| 2 | 용산구 | 3 | 102 |
| 3 | 성동구 | 4 | 103 |
| 4 | 광진구 | 5 | 104 |
| 5 | 동대문구 | 6 | 105 |
| 6 | 중랑구 | 7 | 106 |
| 7 | 성북구 | 8 | 107 |
| 8 | 강북구 | 9 | 108 |
| 9 | 도봉구 | 10 | 109 |
| 자치구 | 정류장ARS(앞2자리) | 정류장ID(앞3자리) | |
|---|---|---|---|
| 15 | 강서구 | 16 | 115 |
| 16 | 구로구 | 17 | 116 |
| 17 | 금천구 | 18 | 117 |
| 18 | 영등포구 | 19 | 118 |
| 19 | 동작구 | 20 | 119 |
| 20 | 관악구 | 21 | 120 |
| 21 | 서초구 | 22 | 121 |
| 22 | 강남구 | 23 | 122 |
| 23 | 송파구 | 24 | 123 |
| 24 | 강동구 | 25 | 124 |