Overview

Dataset statistics

Number of variables5
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory46.4 B

Variable types

Categorical2
Numeric3

Dataset

Description업종별 산업재해 신청건수 및 승인건수, 승인율 현황 데이터입니다.(ex 금융 및 보험업, 광업 등) 2018년부터 2022년까지 데이터
URLhttps://www.data.go.kr/data/15095104/fileData.do

Alerts

신청 is highly overall correlated with 승인High correlation
승인 is highly overall correlated with 신청High correlation
승인율(퍼센트) is highly overall correlated with 산재 업종별High correlation
산재 업종별 is highly overall correlated with 승인율(퍼센트)High correlation
승인 has 3 (5.6%) zerosZeros
승인율(퍼센트) has 3 (5.6%) zerosZeros

Reproduction

Analysis started2023-12-12 13:42:14.088391
Analysis finished2023-12-12 13:42:15.393659
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2018
11 
2019
11 
2020
11 
2021
11 
2022
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 11
20.4%
2019 11
20.4%
2020 11
20.4%
2021 11
20.4%
2022 10
18.5%

Length

2023-12-12T22:42:15.453868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:42:15.568957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 11
20.4%
2019 11
20.4%
2020 11
20.4%
2021 11
20.4%
2022 10
18.5%

산재 업종별
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
금융및보험업
4 
기타의사업
4 
농업
4 
어업
4 
임업
4 
Other values (17)
34 

Length

Max length14
Median length11
Mean length5.9259259
Min length2

Unique

Unique11 ?
Unique (%)20.4%

Sample

1st row금융 및 보험업
2nd row광 업
3rd row제 조 업
4th row전기·가스 및 상수도사업
5th row건 설 업

Common Values

ValueCountFrequency (%)
금융및보험업 4
 
7.4%
기타의사업 4
 
7.4%
농업 4
 
7.4%
어업 4
 
7.4%
임업 4
 
7.4%
운수·창고및통신업 4
 
7.4%
건설업 4
 
7.4%
전기·가스및상수도사업 4
 
7.4%
제조업 4
 
7.4%
광업 4
 
7.4%
Other values (12) 14
25.9%

Length

2023-12-12T22:42:15.703291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
업 7
 
9.3%
금융및보험업 4
 
5.3%
농업 4
 
5.3%
어업 4
 
5.3%
임업 4
 
5.3%
운수·창고및통신업 4
 
5.3%
건설업 4
 
5.3%
전기·가스및상수도사업 4
 
5.3%
제조업 4
 
5.3%
광업 4
 
5.3%
Other values (23) 32
42.7%

신청
Real number (ℝ)

HIGH CORRELATION 

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12151.574
Minimum51
Maximum58707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:42:15.867596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile69.65
Q1526.5
median1045
Q328473.25
95-th percentile49202.65
Maximum58707
Range58656
Interquartile range (IQR)27946.75

Descriptive statistics

Standard deviation17455.711
Coefficient of variation (CV)1.4364979
Kurtosis0.2764384
Mean12151.574
Median Absolute Deviation (MAD)979
Skewness1.2778299
Sum656185
Variance3.0470185 × 108
MonotonicityNot monotonic
2023-12-12T22:42:16.002903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121 2
 
3.7%
525 1
 
1.9%
54940 1
 
1.9%
48944 1
 
1.9%
218 1
 
1.9%
621 1
 
1.9%
4411 1
 
1.9%
36562 1
 
1.9%
152 1
 
1.9%
31445 1
 
1.9%
Other values (43) 43
79.6%
ValueCountFrequency (%)
51 1
1.9%
63 1
1.9%
69 1
1.9%
70 1
1.9%
78 1
1.9%
121 2
3.7%
139 1
1.9%
152 1
1.9%
160 1
1.9%
218 1
1.9%
ValueCountFrequency (%)
58707 1
1.9%
54940 1
1.9%
49683 1
1.9%
48944 1
1.9%
43648 1
1.9%
36867 1
1.9%
36562 1
1.9%
33173 1
1.9%
33149 1
1.9%
32771 1
1.9%

승인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct49
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11032.352
Minimum0
Maximum53934
Zeros3
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:42:16.146340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q1205.25
median1021
Q327027.5
95-th percentile45211.75
Maximum53934
Range53934
Interquartile range (IQR)26822.25

Descriptive statistics

Standard deviation16160.851
Coefficient of variation (CV)1.46486
Kurtosis0.23773949
Mean11032.352
Median Absolute Deviation (MAD)967
Skewness1.2715948
Sum595747
Variance2.6117309 × 108
MonotonicityNot monotonic
2023-12-12T22:42:16.313868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 3
 
5.6%
131 2
 
3.7%
643 2
 
3.7%
60 2
 
3.7%
439 1
 
1.9%
75 1
 
1.9%
44867 1
 
1.9%
519 1
 
1.9%
2520 1
 
1.9%
32761 1
 
1.9%
Other values (39) 39
72.2%
ValueCountFrequency (%)
0 3
5.6%
1 1
 
1.9%
48 1
 
1.9%
60 2
3.7%
66 1
 
1.9%
75 1
 
1.9%
107 1
 
1.9%
109 1
 
1.9%
117 1
 
1.9%
131 2
3.7%
ValueCountFrequency (%)
53934 1
1.9%
50567 1
1.9%
45852 1
1.9%
44867 1
1.9%
40425 1
1.9%
32761 1
1.9%
32458 1
1.9%
31076 1
1.9%
30276 1
1.9%
29823 1
1.9%

승인율(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.031481
Minimum0
Maximum98.2
Zeros3
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:42:16.506862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.195
Q183.75
median91.05
Q394.25
95-th percentile97.2
Maximum98.2
Range98.2
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation26.006798
Coefficient of variation (CV)0.32094684
Kurtosis4.9629968
Mean81.031481
Median Absolute Deviation (MAD)4
Skewness-2.4072689
Sum4375.7
Variance676.35352
MonotonicityNot monotonic
2023-12-12T22:42:16.681733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 3
 
5.6%
83.6 2
 
3.7%
98.2 2
 
3.7%
97.2 2
 
3.7%
89.6 2
 
3.7%
94.1 2
 
3.7%
91.3 2
 
3.7%
88.4 2
 
3.7%
92.0 2
 
3.7%
93.7 1
 
1.9%
Other values (34) 34
63.0%
ValueCountFrequency (%)
0.0 3
5.6%
0.3 1
 
1.9%
48.3 1
 
1.9%
48.5 1
 
1.9%
53.9 1
 
1.9%
57.1 1
 
1.9%
58.9 1
 
1.9%
80.6 1
 
1.9%
81.4 1
 
1.9%
81.9 1
 
1.9%
ValueCountFrequency (%)
98.2 2
3.7%
97.2 2
3.7%
97.1 1
1.9%
96.2 1
1.9%
96.0 1
1.9%
95.7 1
1.9%
95.2 1
1.9%
95.0 1
1.9%
94.9 1
1.9%
94.8 1
1.9%

Interactions

2023-12-12T22:42:14.918331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:14.276207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:14.590508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:15.009485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:14.387624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:14.703342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:15.117707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:14.484008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:14.821851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:42:16.806831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도산재 업종별신청승인승인율(퍼센트)
연도1.0000.0000.0000.0000.000
산재 업종별0.0001.0000.8770.8510.933
신청0.0000.8771.0000.9990.000
승인0.0000.8510.9991.0000.000
승인율(퍼센트)0.0000.9330.0000.0001.000
2023-12-12T22:42:16.930787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산재 업종별연도
산재 업종별1.0000.000
연도0.0001.000
2023-12-12T22:42:17.030518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청승인승인율(퍼센트)연도산재 업종별
신청1.0000.9660.1570.0000.494
승인0.9661.0000.2580.0000.453
승인율(퍼센트)0.1570.2581.0000.0000.637
연도0.0000.0000.0001.0000.000
산재 업종별0.4940.4530.6370.0001.000

Missing values

2023-12-12T22:42:15.233360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:42:15.349043image/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

연도산재 업종별신청승인승인율(퍼센트)
02018금융 및 보험업52543983.6
12018광 업2875138948.3
22018제 조 업303272791092.0
32018전기·가스 및 상수도사업12110788.4
42018건 설 업286882744795.7
52018운수·창고 및 통신업5934541891.3
62018임 업1056103798.2
72018어 업706694.3
82018농 업70866393.6
92018기 타 의 사 업436484042592.6
연도산재 업종별신청승인승인율(퍼센트)
442022금융및보험업96282485.7
452022광업5013295158.9
462022제조업368673245888.0
472022전기·가스및상수도사업16013181.9
482022건설업331493107693.7
492022운수·창고및통신업142201290590.8
502022임업98896097.2
512022어업696087.0
522022농업72768494.1
532022기타의사업587075393491.9