Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory39.0 B

Variable types

Categorical2
Numeric2

Dataset

Description한국전기안전공사에서 최근 3년(2020년~2022년)로 지자체(시도교육청, 중앙선거관리위원회, 지방자치단체, 산업통상자원부, 행정안전부, 경찰청, 소방방재청, 국무총리 직속기관, 기타기관) 안전점검을 지원한 현황을 공개한 데이터입니다.
URLhttps://www.data.go.kr/data/15002345/fileData.do

Alerts

점검 수 is highly overall correlated with 부적합 수High correlation
부적합 수 is highly overall correlated with 점검 수High correlation
점검 수 has 9 (27.3%) zerosZeros
부적합 수 has 15 (45.5%) zerosZeros

Reproduction

Analysis started2023-12-12 07:01:40.437968
Analysis finished2023-12-12 07:01:41.051976
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
시도교육청
3 
중앙선거관리위원회
3 
지방자치
3 
산업통상자원부
3 
행정안전부
3 
Other values (8)
18 

Length

Max length9
Median length7
Mean length5.5454545
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row시도교육청
2nd row입법,사법기관
3rd row중앙선거관리위원회
4th row지방자치
5th row산업통상자원부

Common Values

ValueCountFrequency (%)
시도교육청 3
9.1%
중앙선거관리위원회 3
9.1%
지방자치 3
9.1%
산업통상자원부 3
9.1%
행정안전부 3
9.1%
경찰청 3
9.1%
소방방재청 3
9.1%
기타기관 3
9.1%
입법,사법기관 2
 
6.1%
대통령경호실 2
 
6.1%
Other values (3) 5
15.2%

Length

2023-12-12T16:01:41.115482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시도교육청 3
8.8%
중앙선거관리위원회 3
8.8%
지방자치 3
8.8%
산업통상자원부 3
8.8%
행정안전부 3
8.8%
경찰청 3
8.8%
소방방재청 3
8.8%
기타기관 3
8.8%
입법,사법기관 2
 
5.9%
대통령경호실 2
 
5.9%
Other values (4) 6
17.6%

연도
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2022
12 
2020
12 
2021
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 12
36.4%
2020 12
36.4%
2021 9
27.3%

Length

2023-12-12T16:01:41.215654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:01:41.315397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 12
36.4%
2020 12
36.4%
2021 9
27.3%

점검 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.848485
Minimum0
Maximum229
Zeros9
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T16:01:41.408195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q344
95-th percentile144.6
Maximum229
Range229
Interquartile range (IQR)44

Descriptive statistics

Standard deviation56.339995
Coefficient of variation (CV)1.5716144
Kurtosis4.5187235
Mean35.848485
Median Absolute Deviation (MAD)10
Skewness2.1372223
Sum1183
Variance3174.1951
MonotonicityNot monotonic
2023-12-12T16:01:41.501027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
27.3%
2 2
 
6.1%
9 2
 
6.1%
1 2
 
6.1%
85 2
 
6.1%
81 1
 
3.0%
52 1
 
3.0%
31 1
 
3.0%
10 1
 
3.0%
38 1
 
3.0%
Other values (11) 11
33.3%
ValueCountFrequency (%)
0 9
27.3%
1 2
 
6.1%
2 2
 
6.1%
3 1
 
3.0%
9 2
 
6.1%
10 1
 
3.0%
11 1
 
3.0%
12 1
 
3.0%
16 1
 
3.0%
21 1
 
3.0%
ValueCountFrequency (%)
229 1
3.0%
192 1
3.0%
113 1
3.0%
109 1
3.0%
85 2
6.1%
81 1
3.0%
52 1
3.0%
44 1
3.0%
38 1
3.0%
31 1
3.0%

부적합 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3939394
Minimum0
Maximum14
Zeros15
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T16:01:41.588801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9.6
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.4905175
Coefficient of variation (CV)1.4580643
Kurtosis3.9274469
Mean2.3939394
Median Absolute Deviation (MAD)1
Skewness1.9666883
Sum79
Variance12.183712
MonotonicityNot monotonic
2023-12-12T16:01:41.681919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 15
45.5%
1 4
 
12.1%
3 4
 
12.1%
5 3
 
9.1%
2 2
 
6.1%
4 1
 
3.0%
8 1
 
3.0%
12 1
 
3.0%
14 1
 
3.0%
6 1
 
3.0%
ValueCountFrequency (%)
0 15
45.5%
1 4
 
12.1%
2 2
 
6.1%
3 4
 
12.1%
4 1
 
3.0%
5 3
 
9.1%
6 1
 
3.0%
8 1
 
3.0%
12 1
 
3.0%
14 1
 
3.0%
ValueCountFrequency (%)
14 1
 
3.0%
12 1
 
3.0%
8 1
 
3.0%
6 1
 
3.0%
5 3
 
9.1%
4 1
 
3.0%
3 4
 
12.1%
2 2
 
6.1%
1 4
 
12.1%
0 15
45.5%

Interactions

2023-12-12T16:01:40.709296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:01:40.565790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:01:40.790449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:01:40.629638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:01:41.759640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명연도점검 수부적합 수
업종명1.0000.0000.0000.000
연도0.0001.0000.3670.449
점검 수0.0000.3671.0000.908
부적합 수0.0000.4490.9081.000
2023-12-12T16:01:41.839731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도업종명
연도1.0000.000
업종명0.0001.000
2023-12-12T16:01:41.919689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
점검 수부적합 수업종명연도
점검 수1.0000.8800.0000.235
부적합 수0.8801.0000.0000.281
업종명0.0000.0001.0000.000
연도0.2350.2810.0001.000

Missing values

2023-12-12T16:01:40.926038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:01:41.020472image/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

업종명연도점검 수부적합 수
0시도교육청202220
1입법,사법기관202200
2중앙선거관리위원회202290
3지방자치2022274
4산업통상자원부202211
5행정안전부202200
6경찰청202220
7소방방재청202200
8대통령경호실202212
9감사원202200
업종명연도점검 수부적합 수
23중앙선거관리위원회20208112
24지방자치2020121
25산업통상자원부202022914
26행정안전부2020856
27경찰청2020163
28소방방재청202000
29대통령경호실2020383
30감사원2020101
31국무총리직속기관2020313
32기타기관2020525