Overview

Dataset statistics

Number of variables2
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory18.7 B

Variable types

Numeric1
Text1

Dataset

Description“긴급구조지원기관”이란 긴급구조에 필요한 인력ㆍ시설 및 장비, 운영체계 등 긴급구조능력을 보유한 기관이나 단체로서 대통령령으로 정하는 기관과 단체를 말한다.
URLhttps://www.data.go.kr/data/15081099/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:43:38.158016
Analysis finished2023-12-12 14:43:38.622967
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-12T23:43:38.752373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q120.5
median40
Q359.5
95-th percentile75.1
Maximum79
Range78
Interquartile range (IQR)39

Descriptive statistics

Standard deviation22.949219
Coefficient of variation (CV)0.57373048
Kurtosis-1.2
Mean40
Median Absolute Deviation (MAD)20
Skewness0
Sum3160
Variance526.66667
MonotonicityStrictly increasing
2023-12-12T23:43:38.984704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
2 1
 
1.3%
59 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
Other values (69) 69
87.3%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
79 1
1.3%
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%

기관명
Text

Distinct78
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-12T23:43:39.247581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length10.632911
Min length7

Characters and Unicode

Total characters840
Distinct characters141
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)97.5%

Sample

1st row대덕)1970부대 4대대
2nd row대덕)KT신탄진지점
3rd row대덕)KT용전지점
4th row대덕)근로복지공단 대전병원
5th row대덕)대덕구보건소
ValueCountFrequency (%)
유성)2군사령부 2
 
2.2%
1115공병단 2
 
2.2%
서부)서부경찰서 1
 
1.1%
서부)서대전특수렉카 1
 
1.1%
서부)부원공업 1
 
1.1%
서부)대청병원 1
 
1.1%
서부)대전중구보건소 1
 
1.1%
2대대 1
 
1.1%
서부)1970부대 1
 
1.1%
3대대 1
 
1.1%
Other values (78) 78
86.7%
2023-12-12T23:43:39.678594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 79
 
9.4%
대 63
 
7.5%
부 53
 
6.3%
전 35
 
4.2%
유 27
 
3.2%
성 25
 
3.0%
서 23
 
2.7%
본 23
 
2.7%
사 21
 
2.5%
지 21
 
2.5%
Other values (131) 470
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 691
82.3%
Close Punctuation 79
 
9.4%
Decimal Number 38
 
4.5%
Uppercase Letter 20
 
2.4%
Space Separator 11
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 63
 
9.1%
부 53
 
7.7%
전 35
 
5.1%
유 27
 
3.9%
성 25
 
3.6%
서 23
 
3.3%
본 23
 
3.3%
사 21
 
3.0%
지 21
 
3.0%
원 20
 
2.9%
Other values (114) 380
55.0%
Decimal Number
ValueCountFrequency (%)
1 13
34.2%
2 5
 
13.2%
3 4
 
10.5%
9 4
 
10.5%
7 4
 
10.5%
0 4
 
10.5%
5 3
 
7.9%
4 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
T 8
40.0%
K 7
35.0%
C 2
 
10.0%
N 1
 
5.0%
I 1
 
5.0%
Y 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 691
82.3%
Common 129
 
15.4%
Latin 20
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 63
 
9.1%
부 53
 
7.7%
전 35
 
5.1%
유 27
 
3.9%
성 25
 
3.6%
서 23
 
3.3%
본 23
 
3.3%
사 21
 
3.0%
지 21
 
3.0%
원 20
 
2.9%
Other values (114) 380
55.0%
Common
ValueCountFrequency (%)
) 79
61.2%
1 13
 
10.1%
11
 
8.5%
2 5
 
3.9%
3 4
 
3.1%
9 4
 
3.1%
7 4
 
3.1%
0 4
 
3.1%
5 3
 
2.3%
4 1
 
0.8%
Latin
ValueCountFrequency (%)
T 8
40.0%
K 7
35.0%
C 2
 
10.0%
N 1
 
5.0%
I 1
 
5.0%
Y 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 691
82.3%
ASCII 149
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 79
53.0%
1 13
 
8.7%
11
 
7.4%
T 8
 
5.4%
K 7
 
4.7%
2 5
 
3.4%
3 4
 
2.7%
9 4
 
2.7%
7 4
 
2.7%
0 4
 
2.7%
Other values (7) 10
 
6.7%
Hangul
ValueCountFrequency (%)
대 63
 
9.1%
부 53
 
7.7%
전 35
 
5.1%
유 27
 
3.9%
성 25
 
3.6%
서 23
 
3.3%
본 23
 
3.3%
사 21
 
3.0%
지 21
 
3.0%
원 20
 
2.9%
Other values (114) 380
55.0%

Interactions

2023-12-12T23:43:38.326614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:43:39.841860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명
연번1.0000.940
기관명0.9401.000

Missing values

2023-12-12T23:43:38.499880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:43:38.587898image/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

연번기관명
01대덕)1970부대 4대대
12대덕)KT신탄진지점
23대덕)KT용전지점
34대덕)근로복지공단 대전병원
45대덕)대덕구보건소
56대덕)대원크레인
67대덕)대전대덕경찰서
78대덕)보훈병원
89대덕)육군1123부대
910대덕)한국도로공사 대전지사
연번기관명
6970유성)유성구보건소
7071유성)유성선병원
7172유성)유성중기
7273유성)육군정보통신학교
7374유성)자운대 근무지원단
7475유성)특전동지회
7576유성)팔팔크레인
7677유성)한국원자력안전기술원
7778유성)한화 대전사업장
7879유성)2군사령부 1115공병단