Dataset statistics
| Number of variables | 3 |
|---|---|
| Number of observations | 58 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.5 KiB |
| Average record size in memory | 27.3 B |
Variable types
| Numeric | 1 |
|---|---|
| DateTime | 2 |
Dataset
| Description | 해양경찰청 특별교통기관관리의 현황을 나타내는 데이터이며, 특별기간년도, 특별교통시작일자, 특별교통종료일자를 포함하고 있다. |
|---|---|
| Author | 해양경찰청 |
| URL | https://www.data.go.kr/data/15070387/fileData.do |
Reproduction
| Analysis started | 2023-12-12 03:33:13.723286 |
|---|---|
| Analysis finished | 2023-12-12 03:33:14.167205 |
| Duration | 0.44 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
특별기간년도
Real number (ℝ)
| Distinct | 20 |
|---|---|
| Distinct (%) | 34.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2008.3793 |
| Minimum | 1999 |
|---|---|
| Maximum | 2019 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 654.0 B |
Quantile statistics
| Minimum | 1999 |
|---|---|
| 5-th percentile | 1999.85 |
| Q1 | 2003.25 |
| median | 2008 |
| Q3 | 2013 |
| 95-th percentile | 2018 |
| Maximum | 2019 |
| Range | 20 |
| Interquartile range (IQR) | 9.75 |
Descriptive statistics
| Standard deviation | 5.955471 |
|---|---|
| Coefficient of variation (CV) | 0.0029653119 |
| Kurtosis | -1.0630636 |
| Mean | 2008.3793 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.15056944 |
| Sum | 116486 |
| Variance | 35.467635 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 2018 | 4 | 6.9% |
| 2006 | 3 | 5.2% |
| 2014 | 3 | 5.2% |
| 2012 | 3 | 5.2% |
| 2011 | 3 | 5.2% |
| 2010 | 3 | 5.2% |
| 2009 | 3 | 5.2% |
| 2008 | 3 | 5.2% |
| 2007 | 3 | 5.2% |
| 2005 | 3 | 5.2% |
| Other values (10) | 27 |
| Value | Count | Frequency (%) |
| 1999 | 3 | |
| 2000 | 3 | |
| 2001 | 3 | |
| 2002 | 3 | |
| 2003 | 3 | |
| 2004 | 3 | |
| 2005 | 3 | |
| 2006 | 3 | |
| 2007 | 3 | |
| 2008 | 3 |
| Value | Count | Frequency (%) |
| 2019 | 2 | |
| 2018 | 4 | |
| 2017 | 2 | |
| 2015 | 2 | |
| 2014 | 3 | |
| 2013 | 3 | |
| 2012 | 3 | |
| 2011 | 3 | |
| 2010 | 3 | |
| 2009 | 3 |
특별교통시작일자
Date
UNIQUE
| Distinct | 58 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 596.0 B |
| Minimum | 1999-07-16 00:00:00 |
|---|---|
| Maximum | 2019-02-18 00:00:00 |
Histogram with fixed size bins (bins=50)
특별교통종료일자
Date
UNIQUE
| Distinct | 58 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 596.0 B |
| Minimum | 1999-08-08 00:00:00 |
|---|---|
| Maximum | 2019-04-19 00:00:00 |
Histogram with fixed size bins (bins=50)
| 특별기간년도 | 특별교통시작일자 | 특별교통종료일자 | |
|---|---|---|---|
| 특별기간년도 | 1.000 | 1.000 | 1.000 |
| 특별교통시작일자 | 1.000 | 1.000 | 1.000 |
| 특별교통종료일자 | 1.000 | 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.
| 특별기간년도 | 특별교통시작일자 | 특별교통종료일자 | |
|---|---|---|---|
| 0 | 2017 | 2017-09-29 | 2017-10-09 |
| 1 | 2018 | 2018-07-28 | 2018-08-19 |
| 2 | 2018 | 2018-02-14 | 2018-02-18 |
| 3 | 2018 | 2018-09-21 | 2018-09-26 |
| 4 | 2017 | 2017-07-28 | 2017-08-16 |
| 5 | 2018 | 2018-04-14 | 2018-05-27 |
| 6 | 2019 | 2019-02-02 | 2019-02-06 |
| 7 | 1999 | 1999-07-16 | 1999-08-08 |
| 8 | 1999 | 1999-09-22 | 1999-09-27 |
| 9 | 1999 | 1999-12-31 | 2000-01-03 |
| 특별기간년도 | 특별교통시작일자 | 특별교통종료일자 | |
|---|---|---|---|
| 48 | 2012 | 2012-09-28 | 2012-10-03 |
| 49 | 2013 | 2013-02-08 | 2013-02-12 |
| 50 | 2013 | 2013-07-25 | 2013-08-11 |
| 51 | 2013 | 2013-09-17 | 2013-09-22 |
| 52 | 2014 | 2014-01-29 | 2014-02-02 |
| 53 | 2014 | 2014-07-25 | 2014-08-10 |
| 54 | 2014 | 2014-09-05 | 2014-09-11 |
| 55 | 2015 | 2015-02-17 | 2015-02-22 |
| 56 | 2015 | 2015-07-24 | 2015-08-09 |
| 57 | 2019 | 2019-02-18 | 2019-04-19 |