Dataset statistics
| Number of variables | 2 |
|---|---|
| Number of observations | 994 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 17.6 KiB |
| Average record size in memory | 18.1 B |
Variable types
| Numeric | 2 |
|---|
Dataset
| Description | 경기도 의왕시 보행안전지수 지도 시각화에 사용하기 위해 의왕시 보행안전지수의 정보를 담고 있는 csv형태의 데이터입니다. |
|---|---|
| Author | 경기도 의왕시 |
| URL | https://www.data.go.kr/data/15108887/fileData.do |
도로코드 has unique values | Unique |
Reproduction
| Analysis started | 2023-12-12 17:16:10.836540 |
|---|---|
| Analysis finished | 2023-12-12 17:16:11.582537 |
| Duration | 0.75 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
도로코드
Real number (ℝ)
UNIQUE
| Distinct | 994 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1069.9125 |
| Minimum | 1 |
|---|---|
| Maximum | 3005 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 50.65 |
| Q1 | 249.25 |
| median | 497.5 |
| Q3 | 2157.75 |
| 95-th percentile | 2366.7 |
| Maximum | 3005 |
| Range | 3004 |
| Interquartile range (IQR) | 1908.5 |
Descriptive statistics
| Standard deviation | 953.95045 |
|---|---|
| Coefficient of variation (CV) | 0.89161541 |
| Kurtosis | -1.744958 |
| Mean | 1069.9125 |
| Median Absolute Deviation (MAD) | 401 |
| Skewness | 0.36553394 |
| Sum | 1063493 |
| Variance | 910021.45 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.1% |
| 2078 | 1 | 0.1% |
| 2064 | 1 | 0.1% |
| 2065 | 1 | 0.1% |
| 2066 | 1 | 0.1% |
| 2067 | 1 | 0.1% |
| 2068 | 1 | 0.1% |
| 2069 | 1 | 0.1% |
| 2071 | 1 | 0.1% |
| 2072 | 1 | 0.1% |
| Other values (984) | 984 |
| 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 (%) |
| 3005 | 1 | |
| 3003 | 1 | |
| 3002 | 1 | |
| 3001 | 1 | |
| 2414 | 1 | |
| 2413 | 1 | |
| 2412 | 1 | |
| 2411 | 1 | |
| 2410 | 1 | |
| 2409 | 1 |
보행안전지수
Real number (ℝ)
| Distinct | 984 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.57883589 |
| Minimum | -18.487526 |
|---|---|
| Maximum | 57.738333 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 544 |
| Negative (%) | 54.7% |
| Memory size | 8.9 KiB |
Quantile statistics
| Minimum | -18.487526 |
|---|---|
| 5-th percentile | -14.540151 |
| Q1 | -9.4239371 |
| median | -1.569886 |
| Q3 | 8.028882 |
| 95-th percentile | 23.916188 |
| Maximum | 57.738333 |
| Range | 76.225858 |
| Interquartile range (IQR) | 17.452819 |
Descriptive statistics
| Standard deviation | 12.644481 |
|---|---|
| Coefficient of variation (CV) | 21.844673 |
| Kurtosis | 1.676218 |
| Mean | 0.57883589 |
| Median Absolute Deviation (MAD) | 8.4241131 |
| Skewness | 1.1215924 |
| Sum | 575.36287 |
| Variance | 159.88289 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -15.93851151 | 7 | 0.7% |
| -18.48752578 | 3 | 0.3% |
| -17.14983839 | 2 | 0.2% |
| -17.56061138 | 2 | 0.2% |
| -9.862328646 | 1 | 0.1% |
| -10.57404793 | 1 | 0.1% |
| -1.070273927 | 1 | 0.1% |
| 6.914062664 | 1 | 0.1% |
| 17.90144519 | 1 | 0.1% |
| -9.989431684 | 1 | 0.1% |
| Other values (974) | 974 |
| Value | Count | Frequency (%) |
| -18.48752578 | 3 | |
| -17.56061138 | 2 | 0.2% |
| -17.26054271 | 1 | 0.1% |
| -17.18171541 | 1 | 0.1% |
| -17.14983839 | 2 | 0.2% |
| -17.13026125 | 1 | 0.1% |
| -16.93935655 | 1 | 0.1% |
| -16.44299794 | 1 | 0.1% |
| -15.93851151 | 7 | |
| -15.92707058 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 57.73833252 | 1 | |
| 55.65139866 | 1 | |
| 54.74189171 | 1 | |
| 52.9427625 | 1 | |
| 51.04028195 | 1 | |
| 49.21976071 | 1 | |
| 48.61980731 | 1 | |
| 44.28409172 | 1 | |
| 42.40174932 | 1 | |
| 40.49396246 | 1 |
| 도로코드 | 보행안전지수 | |
|---|---|---|
| 도로코드 | 1.000 | 0.421 |
| 보행안전지수 | 0.421 | 1.000 |
| 도로코드 | 보행안전지수 | |
|---|---|---|
| 도로코드 | 1.000 | -0.477 |
| 보행안전지수 | -0.477 | 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.
| 도로코드 | 보행안전지수 | |
|---|---|---|
| 0 | 1 | -9.862329 |
| 1 | 2 | 5.538083 |
| 2 | 3 | -0.119836 |
| 3 | 4 | 26.459278 |
| 4 | 5 | -9.276832 |
| 5 | 6 | 4.137251 |
| 6 | 7 | 7.57692 |
| 7 | 8 | 18.401382 |
| 8 | 9 | -2.399536 |
| 9 | 10 | -8.410923 |
| 도로코드 | 보행안전지수 | |
|---|---|---|
| 984 | 2409 | -5.239911 |
| 985 | 2410 | -3.964677 |
| 986 | 2411 | -13.93753 |
| 987 | 2412 | -13.731753 |
| 988 | 2413 | -9.424257 |
| 989 | 2414 | -14.60717 |
| 990 | 3001 | 21.419398 |
| 991 | 3002 | -2.58156 |
| 992 | 3003 | -13.286152 |
| 993 | 3005 | -6.88659 |