Overview

Dataset statistics

Number of variables5
Number of observations177
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory42.7 B

Variable types

Categorical4
Numeric1

Dataset

Description경찰청 의무경찰 연령대별 접수현황은 연도, 지역, 유형(일반, 특기), 연령대 등 항목으로 의무경찰 접수 인원 현황을 제공합니다.※의무경찰 홈페이지는 2023년 7월에 서비스 종료(폐지)되어 더이상 운영되지 않습니다.이에 의무경찰과 관련된 파일 데이터도 업데이트를 진행하지 않음을 안내드립니다.
Author경찰청
URLhttps://www.data.go.kr/data/15064551/fileData.do

Reproduction

Analysis started2024-03-16 04:15:39.977344
Analysis finished2024-03-16 04:15:40.946976
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2020
63 
2019
61 
2021
53 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2020 63
35.6%
2019 61
34.5%
2021 53
29.9%

Length

2024-03-16T13:15:41.152583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:41.336821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 63
35.6%
2019 61
34.5%
2021 53
29.9%

지역
Categorical

Distinct13
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
인천경기
17 
경기북부
15 
광주전남
15 
부산
15 
서울
15 
Other values (8)
100 

Length

Max length4
Median length2
Mean length2.960452
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원
2nd row강원
3rd row강원
4th row강원
5th row강원영동

Common Values

ValueCountFrequency (%)
인천경기 17
9.6%
경기북부 15
8.5%
광주전남 15
8.5%
부산 15
8.5%
서울 15
8.5%
대구경북 14
7.9%
대전충남 14
7.9%
경남 13
 
7.3%
전북 13
 
7.3%
강원 12
 
6.8%
Other values (3) 34
19.2%

Length

2024-03-16T13:15:41.727769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인천경기 17
9.6%
경기북부 15
8.5%
광주전남 15
8.5%
부산 15
8.5%
서울 15
8.5%
대구경북 14
7.9%
대전충남 14
7.9%
경남 13
 
7.3%
전북 13
 
7.3%
강원 12
 
6.8%
Other values (3) 34
19.2%

유형
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반
95 
특기
82 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row특기
4th row특기
5th row일반

Common Values

ValueCountFrequency (%)
일반 95
53.7%
특기 82
46.3%

Length

2024-03-16T13:15:42.057566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:42.251994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 95
53.7%
특기 82
46.3%

연령대
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
20대
78 
10대
77 
30대
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10대
2nd row20대
3rd row10대
4th row20대
5th row10대

Common Values

ValueCountFrequency (%)
20대 78
44.1%
10대 77
43.5%
30대 22
 
12.4%

Length

2024-03-16T13:15:42.458929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:42.684523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 78
44.1%
10대 77
43.5%
30대 22
 
12.4%

인원
Real number (ℝ)

Distinct131
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1109.678
Minimum1
Maximum16417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-16T13:15:42.924370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q123
median105
Q31299
95-th percentile4479.8
Maximum16417
Range16416
Interquartile range (IQR)1276

Descriptive statistics

Standard deviation2275.7223
Coefficient of variation (CV)2.0507953
Kurtosis20.158861
Mean1109.678
Median Absolute Deviation (MAD)103
Skewness3.9684375
Sum196413
Variance5178912.1
MonotonicityNot monotonic
2024-03-16T13:15:43.240458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 10
 
5.6%
1 8
 
4.5%
3 6
 
3.4%
30 4
 
2.3%
9 4
 
2.3%
12 3
 
1.7%
25 3
 
1.7%
49 3
 
1.7%
13 2
 
1.1%
6 2
 
1.1%
Other values (121) 132
74.6%
ValueCountFrequency (%)
1 8
4.5%
2 10
5.6%
3 6
3.4%
6 2
 
1.1%
7 2
 
1.1%
9 4
 
2.3%
10 1
 
0.6%
11 1
 
0.6%
12 3
 
1.7%
13 2
 
1.1%
ValueCountFrequency (%)
16417 1
0.6%
15182 1
0.6%
8504 1
0.6%
8486 1
0.6%
7958 1
0.6%
6880 1
0.6%
6874 1
0.6%
5926 1
0.6%
4711 1
0.6%
4422 1
0.6%

Interactions

2024-03-16T13:15:40.425996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:15:43.466621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도지역유형연령대인원
연도1.0000.0000.0000.3230.000
지역0.0001.0000.0000.0000.372
유형0.0000.0001.0000.0600.427
연령대0.3230.0000.0601.0000.144
인원0.0000.3720.4270.1441.000
2024-03-16T13:15:43.717879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형연도연령대지역
유형1.0000.0000.0990.000
연도0.0001.0000.1100.000
연령대0.0990.1101.0000.000
지역0.0000.0000.0001.000
2024-03-16T13:15:44.041010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원연도지역유형연령대
인원1.0000.0000.1790.4510.095
연도0.0001.0000.0000.0000.110
지역0.1790.0001.0000.0000.000
유형0.4510.0000.0001.0000.099
연령대0.0950.1100.0000.0991.000

Missing values

2024-03-16T13:15:40.622894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:15:40.842194image/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

연도지역유형연령대인원
02019강원일반10대867
12019강원일반20대509
22019강원특기10대12
32019강원특기20대25
42019강원영동일반10대105
52019강원영동일반20대49
62019강원영동특기10대2
72019강원영동특기20대3
82019경기북부일반10대2707
92019경기북부일반20대3599
연도지역유형연령대인원
1672021전북특기10대11
1682021전북특기20대30
1692021제주일반10대374
1702021제주일반20대252
1712021제주특기10대7
1722021제주특기20대7
1732021충북일반10대510
1742021충북일반20대286
1752021충북특기10대30
1762021충북특기20대13