Overview

Dataset statistics

Number of variables6
Number of observations163
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory51.8 B

Variable types

Numeric3
DateTime2
Categorical1

Dataset

Description한국환경공단에서 운영하는 폐기물처분부담금시스템의 휴일정보 관련 내용 입니다. 대한민국 휴일정보 및 한국환경공단의 휴일과 같이 등록되어 있습니다.
URLhttps://www.data.go.kr/data/15069389/fileData.do

Alerts

등록자 is highly overall correlated with 수정자High correlation
수정자 is highly overall correlated with 등록자High correlation
관리번호 has unique valuesUnique
휴일일자 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:29:54.550016
Analysis finished2023-12-13 00:29:55.664996
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.06748
Minimum1
Maximum450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T09:29:55.720444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.1
Q173.5
median244
Q3347.5
95-th percentile441.9
Maximum450
Range449
Interquartile range (IQR)274

Descriptive statistics

Standard deviation142.33113
Coefficient of variation (CV)0.61864947
Kurtosis-1.2871112
Mean230.06748
Median Absolute Deviation (MAD)109
Skewness-0.14257551
Sum37501
Variance20258.15
MonotonicityNot monotonic
2023-12-13T09:29:55.820418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441 1
 
0.6%
172 1
 
0.6%
171 1
 
0.6%
170 1
 
0.6%
169 1
 
0.6%
168 1
 
0.6%
167 1
 
0.6%
165 1
 
0.6%
166 1
 
0.6%
164 1
 
0.6%
Other values (153) 153
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
450 1
0.6%
449 1
0.6%
448 1
0.6%
447 1
0.6%
446 1
0.6%
445 1
0.6%
444 1
0.6%
443 1
0.6%
442 1
0.6%
441 1
0.6%

휴일일자
Date

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2015-01-01 00:00:00
Maximum2023-12-25 00:00:00
2023-12-13T09:29:55.915361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:56.017366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴일명
Categorical

Distinct31
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
추석
31 
설날
28 
신정
9 
삼일절
9 
현충일
9 
Other values (26)
77 

Length

Max length30
Median length11
Mean length3.5828221
Min length2

Unique

Unique13 ?
Unique (%)8.0%

Sample

1st row개천절(대체휴일)
2nd row추석
3rd row광복절(대체휴일)
4th row부처님 오신날
5th row추석

Common Values

ValueCountFrequency (%)
추석 31
19.0%
설날 28
17.2%
신정 9
 
5.5%
삼일절 9
 
5.5%
현충일 9
 
5.5%
광복절 9
 
5.5%
개천절 9
 
5.5%
한글날 8
 
4.9%
어린이날 8
 
4.9%
성탄절 7
 
4.3%
Other values (21) 36
22.1%

Length

2023-12-13T09:29:56.120851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
추석 31
17.2%
설날 29
16.1%
신정 9
 
5.0%
삼일절 9
 
5.0%
현충일 9
 
5.0%
광복절 9
 
5.0%
개천절 9
 
5.0%
한글날 8
 
4.4%
어린이날 8
 
4.4%
성탄절 7
 
3.9%
Other values (30) 52
28.9%

등록자
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9678.6871
Minimum1
Maximum115176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T09:29:56.206591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median202
Q38667
95-th percentile115176
Maximum115176
Range115175
Interquartile range (IQR)8665

Descriptive statistics

Standard deviation27506.399
Coefficient of variation (CV)2.8419556
Kurtosis10.816188
Mean9678.6871
Median Absolute Deviation (MAD)200
Skewness3.4947467
Sum1577626
Variance7.5660197 × 108
MonotonicityNot monotonic
2023-12-13T09:29:56.289475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 52
31.9%
202 37
22.7%
1 29
17.8%
13566 16
 
9.8%
12759 10
 
6.1%
115176 10
 
6.1%
8667 7
 
4.3%
6195 1
 
0.6%
6749 1
 
0.6%
ValueCountFrequency (%)
1 29
17.8%
2 52
31.9%
202 37
22.7%
6195 1
 
0.6%
6749 1
 
0.6%
8667 7
 
4.3%
12759 10
 
6.1%
13566 16
 
9.8%
115176 10
 
6.1%
ValueCountFrequency (%)
115176 10
 
6.1%
13566 16
 
9.8%
12759 10
 
6.1%
8667 7
 
4.3%
6749 1
 
0.6%
6195 1
 
0.6%
202 37
22.7%
2 52
31.9%
1 29
17.8%

수정자
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7718.3988
Minimum1
Maximum115176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T09:29:56.384084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median202
Q38667
95-th percentile13566
Maximum115176
Range115175
Interquartile range (IQR)8665

Descriptive statistics

Standard deviation23380.531
Coefficient of variation (CV)3.0291945
Kurtosis16.960679
Mean7718.3988
Median Absolute Deviation (MAD)200
Skewness4.2234155
Sum1258099
Variance5.4664923 × 108
MonotonicityNot monotonic
2023-12-13T09:29:56.463223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 52
31.9%
202 37
22.7%
1 29
17.8%
13566 16
 
9.8%
12759 10
 
6.1%
8667 10
 
6.1%
115176 7
 
4.3%
6195 1
 
0.6%
6749 1
 
0.6%
ValueCountFrequency (%)
1 29
17.8%
2 52
31.9%
202 37
22.7%
6195 1
 
0.6%
6749 1
 
0.6%
8667 10
 
6.1%
12759 10
 
6.1%
13566 16
 
9.8%
115176 7
 
4.3%
ValueCountFrequency (%)
115176 7
 
4.3%
13566 16
 
9.8%
12759 10
 
6.1%
8667 10
 
6.1%
6749 1
 
0.6%
6195 1
 
0.6%
202 37
22.7%
2 52
31.9%
1 29
17.8%

수정일자
Date

Distinct21
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2015-02-27 00:00:00
Maximum2022-12-26 00:00:00
2023-12-13T09:29:56.543701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:56.645755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

Interactions

2023-12-13T09:29:55.349760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:54.726978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:55.166142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:55.409708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:54.795755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:55.224738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:55.473099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:54.865750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:29:55.288366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:29:56.709765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호휴일명등록자수정자수정일자
관리번호1.0000.5520.9620.9160.986
휴일명0.5521.0000.0000.0000.889
등록자0.9620.0001.0000.9950.998
수정자0.9160.0000.9951.0001.000
수정일자0.9860.8890.9981.0001.000
2023-12-13T09:29:56.793068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호등록자수정자휴일명
관리번호1.0000.4630.4800.210
등록자0.4631.0000.9950.000
수정자0.4800.9951.0000.000
휴일명0.2100.0000.0001.000

Missing values

2023-12-13T09:29:55.557091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:29:55.633320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

관리번호휴일일자휴일명등록자수정자수정일자
04412022-10-04개천절(대체휴일)12759127592022-12-26
14422022-09-21추석12759127592022-12-26
24432022-08-16광복절(대체휴일)12759127592022-12-26
34442022-05-19부처님 오신날12759127592022-12-26
44502022-09-22추석12759127592022-12-26
54462022-02-11설날12759127592022-12-26
64472022-02-12설날12759127592022-12-26
74482022-09-20추석12759127592022-12-26
84492022-02-13설날12759127592022-12-26
94452022-10-11한글날(대체휴일)12759127592022-12-26
관리번호휴일일자휴일명등록자수정자수정일자
15382015-06-06현충일112015-02-27
15472015-05-25석가탄신일112015-02-27
15562015-05-05어린이날112015-02-27
15652015-03-01삼일절112015-02-27
15742015-02-20연휴112015-02-27
15832015-02-19설날112015-02-27
15922015-02-18연휴112015-02-27
160112015-09-27추석112015-02-27
161122015-09-28연휴112015-02-27
16212015-01-01신정112015-02-27