Overview

Dataset statistics

Number of variables5
Number of observations352
Missing cells44
Missing cells (%)2.5%
Duplicate rows7
Duplicate rows (%)2.0%
Total size in memory14.2 KiB
Average record size in memory41.4 B

Variable types

Categorical2
Text2
Numeric1

Alerts

Dataset has 7 (2.0%) duplicate rowsDuplicates
장비구분명 is highly overall correlated with 용도구분명High correlation
용도구분명 is highly overall correlated with 장비구분명High correlation
보유수량(점) has 44 (12.5%) missing valuesMissing
보유수량(점) has 23 (6.5%) zerosZeros

Reproduction

Analysis started2023-12-10 21:37:11.211799
Analysis finished2023-12-10 21:37:12.001058
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비구분명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
구조장비
148 
기동장비
89 
구급장비
81 
화재진압장비
34 

Length

Max length6
Median length4
Mean length4.1931818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구조장비 148
42.0%
기동장비 89
25.3%
구급장비 81
23.0%
화재진압장비 34
 
9.7%

Length

2023-12-11T06:37:12.121495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:12.263668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조장비 148
42.0%
기동장비 89
25.3%
구급장비 81
23.0%
화재진압장비 34
 
9.7%

용도구분명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
소방자동차
82 
절단구조장비
29 
일반구조장비
28 
산악구조장비
28 
교육실습장비
27 
Other values (14)
158 

Length

Max length14
Median length6
Mean length6.2357955
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
소방자동차 82
23.3%
절단구조장비 29
 
8.2%
일반구조장비 28
 
8.0%
산악구조장비 28
 
8.0%
교육실습장비 27
 
7.7%
소방용수장비 25
 
7.1%
응급처치장비 23
 
6.5%
화생방 및 대테러 구조장비 23
 
6.5%
수난구조장비 22
 
6.2%
탐색구조장비 14
 
4.0%
Other values (9) 51
14.5%

Length

2023-12-11T06:37:12.425219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소방자동차 82
19.5%
절단구조장비 29
 
6.9%
일반구조장비 28
 
6.7%
산악구조장비 28
 
6.7%
교육실습장비 27
 
6.4%
소방용수장비 25
 
5.9%
응급처치장비 23
 
5.5%
화생방 23
 
5.5%
및 23
 
5.5%
대테러 23
 
5.5%
Other values (12) 110
26.1%

기능구분명
Text

Distinct89
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T06:37:12.683279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.6789773
Min length1

Characters and Unicode

Total characters2351
Distinct characters178
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

Unique28 ?
Unique (%)8.0%

Sample

1st row감염방지기구
2nd row장비소독기구
3rd row장비소독기구
4th row장비소독기구
5th row장비소독기구
ValueCountFrequency (%)
및 27
 
4.8%
지원차 21
 
3.7%
재난현장 21
 
3.7%
소방관창류 20
 
3.6%
교육실습장비 19
 
3.4%
잠수장비 14
 
2.5%
구급대원 13
 
2.3%
그 13
 
2.3%
밖의 13
 
2.3%
세트 13
 
2.3%
Other values (109) 388
69.0%
2023-12-11T06:37:13.120300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
8.9%
장 169
 
7.2%
비 144
 
6.1%
구 90
 
3.8%
차 89
 
3.8%
기 78
 
3.3%
방 69
 
2.9%
소 67
 
2.8%
지 52
 
2.2%
원 43
 
1.8%
Other values (168) 1340
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2130
90.6%
Space Separator 210
 
8.9%
Uppercase Letter 6
 
0.3%
Decimal Number 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 169
 
7.9%
비 144
 
6.8%
구 90
 
4.2%
차 89
 
4.2%
기 78
 
3.7%
방 69
 
3.2%
소 67
 
3.1%
지 52
 
2.4%
원 43
 
2.0%
수 34
 
1.6%
Other values (157) 1295
60.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
P 1
16.7%
S 1
16.7%
R 1
16.7%
O 1
16.7%
V 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2130
90.6%
Common 215
 
9.1%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 169
 
7.9%
비 144
 
6.8%
구 90
 
4.2%
차 89
 
4.2%
기 78
 
3.7%
방 69
 
3.2%
소 67
 
3.1%
지 52
 
2.4%
원 43
 
2.0%
수 34
 
1.6%
Other values (157) 1295
60.8%
Latin
ValueCountFrequency (%)
G 1
16.7%
P 1
16.7%
S 1
16.7%
R 1
16.7%
O 1
16.7%
V 1
16.7%
Common
ValueCountFrequency (%)
210
97.7%
1 2
 
0.9%
9 1
 
0.5%
( 1
 
0.5%
) 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2130
90.6%
ASCII 221
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
95.0%
1 2
 
0.9%
9 1
 
0.5%
G 1
 
0.5%
P 1
 
0.5%
S 1
 
0.5%
( 1
 
0.5%
R 1
 
0.5%
O 1
 
0.5%
V 1
 
0.5%
Hangul
ValueCountFrequency (%)
장 169
 
7.9%
비 144
 
6.8%
구 90
 
4.2%
차 89
 
4.2%
기 78
 
3.7%
방 69
 
3.2%
소 67
 
3.1%
지 52
 
2.4%
원 43
 
2.0%
수 34
 
1.6%
Other values (157) 1295
60.8%

장비명
Text

Distinct322
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T06:37:13.431887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length8.1676136
Min length2

Characters and Unicode

Total characters2875
Distinct characters341
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)86.1%

Sample

1st row【음압형 환자이송장비】
2nd row헬멧소독기
3rd row자외선살균소독기
4th row플라즈마 멸균기
5th row소독기
ValueCountFrequency (%)
마네킨】 15
 
2.8%
소독기 6
 
1.1%
모의실습 6
 
1.1%
장비】 6
 
1.1%
사다리 6
 
1.1%
트레일러 5
 
0.9%
이동식 5
 
0.9%
소방차 4
 
0.7%
주들것 4
 
0.7%
급사다리차 4
 
0.7%
Other values (397) 473
88.6%
2023-12-11T06:37:13.899636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
6.3%
차 115
 
4.0%
기 101
 
3.5%
장 53
 
1.8%
조 52
 
1.8%
구 51
 
1.8%
m 50
 
1.7%
트 48
 
1.7%
비 47
 
1.6%
소 46
 
1.6%
Other values (331) 2130
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2450
85.2%
Space Separator 182
 
6.3%
Decimal Number 70
 
2.4%
Lowercase Letter 67
 
2.3%
Close Punctuation 43
 
1.5%
Open Punctuation 42
 
1.5%
Uppercase Letter 19
 
0.7%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 115
 
4.7%
기 101
 
4.1%
장 53
 
2.2%
조 52
 
2.1%
구 51
 
2.1%
트 48
 
2.0%
비 47
 
1.9%
소 46
 
1.9%
수 46
 
1.9%
형 45
 
1.8%
Other values (297) 1846
75.3%
Lowercase Letter
ValueCountFrequency (%)
m 50
74.6%
t 3
 
4.5%
l 2
 
3.0%
e 2
 
3.0%
o 2
 
3.0%
r 2
 
3.0%
a 2
 
3.0%
p 1
 
1.5%
b 1
 
1.5%
n 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
6 15
21.4%
5 12
17.1%
4 12
17.1%
0 10
14.3%
1 7
10.0%
3 5
 
7.1%
9 4
 
5.7%
2 3
 
4.3%
8 1
 
1.4%
7 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
P 5
26.3%
R 4
21.1%
C 3
15.8%
O 2
 
10.5%
V 2
 
10.5%
S 2
 
10.5%
G 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
【 32
76.2%
( 10
 
23.8%
Close Punctuation
ValueCountFrequency (%)
】 32
74.4%
) 11
 
25.6%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2450
85.2%
Common 339
 
11.8%
Latin 86
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 115
 
4.7%
기 101
 
4.1%
장 53
 
2.2%
조 52
 
2.1%
구 51
 
2.1%
트 48
 
2.0%
비 47
 
1.9%
소 46
 
1.9%
수 46
 
1.9%
형 45
 
1.8%
Other values (297) 1846
75.3%
Latin
ValueCountFrequency (%)
m 50
58.1%
P 5
 
5.8%
R 4
 
4.7%
C 3
 
3.5%
t 3
 
3.5%
O 2
 
2.3%
l 2
 
2.3%
e 2
 
2.3%
V 2
 
2.3%
o 2
 
2.3%
Other values (8) 11
 
12.8%
Common
ValueCountFrequency (%)
182
53.7%
【 32
 
9.4%
】 32
 
9.4%
6 15
 
4.4%
5 12
 
3.5%
4 12
 
3.5%
) 11
 
3.2%
( 10
 
2.9%
0 10
 
2.9%
1 7
 
2.1%
Other values (6) 16
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2450
85.2%
ASCII 361
 
12.6%
None 64
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
50.4%
m 50
 
13.9%
6 15
 
4.2%
5 12
 
3.3%
4 12
 
3.3%
) 11
 
3.0%
( 10
 
2.8%
0 10
 
2.8%
1 7
 
1.9%
3 5
 
1.4%
Other values (22) 47
 
13.0%
Hangul
ValueCountFrequency (%)
차 115
 
4.7%
기 101
 
4.1%
장 53
 
2.2%
조 52
 
2.1%
구 51
 
2.1%
트 48
 
2.0%
비 47
 
1.9%
소 46
 
1.9%
수 46
 
1.9%
형 45
 
1.8%
Other values (297) 1846
75.3%
None
ValueCountFrequency (%)
【 32
50.0%
】 32
50.0%

보유수량(점)
Real number (ℝ)

MISSING  ZEROS 

Distinct174
Distinct (%)56.5%
Missing44
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean284.72078
Minimum0
Maximum11092
Zeros23
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T06:37:14.081620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median55
Q3292
95-th percentile1227.9
Maximum11092
Range11092
Interquartile range (IQR)285.25

Descriptive statistics

Standard deviation838.29096
Coefficient of variation (CV)2.9442563
Kurtosis103.83334
Mean284.72078
Median Absolute Deviation (MAD)53.5
Skewness9.0754528
Sum87694
Variance702731.73
MonotonicityNot monotonic
2023-12-11T06:37:14.236136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
6.5%
1 17
 
4.8%
3 13
 
3.7%
2 9
 
2.6%
4 6
 
1.7%
5 5
 
1.4%
21 5
 
1.4%
29 4
 
1.1%
17 4
 
1.1%
6 4
 
1.1%
Other values (164) 218
61.9%
(Missing) 44
 
12.5%
ValueCountFrequency (%)
0 23
6.5%
1 17
4.8%
2 9
 
2.6%
3 13
3.7%
4 6
 
1.7%
5 5
 
1.4%
6 4
 
1.1%
7 4
 
1.1%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
11092 1
0.3%
7097 1
0.3%
2546 1
0.3%
2237 1
0.3%
2074 1
0.3%
2019 1
0.3%
1796 1
0.3%
1722 1
0.3%
1680 1
0.3%
1653 1
0.3%

Interactions

2023-12-11T06:37:11.663057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:37:14.616187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비구분명용도구분명기능구분명보유수량(점)
장비구분명1.0001.0001.0000.000
용도구분명1.0001.0001.0000.000
기능구분명1.0001.0001.0000.000
보유수량(점)0.0000.0000.0001.000
2023-12-11T06:37:14.701384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비구분명용도구분명
장비구분명1.0000.978
용도구분명0.9781.000
2023-12-11T06:37:14.785796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보유수량(점)장비구분명용도구분명
보유수량(점)1.0000.0000.000
장비구분명0.0001.0000.978
용도구분명0.0000.9781.000

Missing values

2023-12-11T06:37:11.810068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:37:11.952398image/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

장비구분명용도구분명기능구분명장비명보유수량(점)
0구급장비감염방지장비감염방지기구【음압형 환자이송장비】150
1구급장비감염방지장비장비소독기구헬멧소독기178
2구급장비감염방지장비장비소독기구자외선살균소독기311
3구급장비감염방지장비장비소독기구플라즈마 멸균기240
4구급장비감염방지장비장비소독기구소독기23
5구급장비감염방지장비장비소독기구소독기1
6구급장비감염방지장비장비소독기구소독기2
7구급장비감염방지장비장비소독기구소독기624
8구급장비교육실습장비구급대원 교육실습장비【고급형 연습용 심장충격기】 )30
9구급장비교육실습장비구급대원 교육실습장비【재난대응 응급의료소 운영 도상훈련 키트】29
장비구분명용도구분명기능구분명장비명보유수량(점)
342화재진압장비소방용수장비소방관창류파이프관창40mm55
343화재진압장비소방용수장비소방관창류일반관창40mm1653
344화재진압장비소방용수장비소방관창류일반관창65mm815
345화재진압장비소화보조장비소방용사다리단식 사다리<NA>
346화재진압장비소화보조장비소방용사다리절연식 사다리5
347화재진압장비소화보조장비소방용사다리거는식 사다리71
348화재진압장비소화보조장비소방용사다리접이식 사다리72
349화재진압장비소화보조장비소방용사다리복식 사다리656
350화재진압장비소화보조장비소방용사다리단식 사다리2
351화재진압장비소화보조장비소방용펌프동력소방펌프132

Duplicate rows

Most frequently occurring

장비구분명용도구분명기능구분명장비명보유수량(점)# duplicates
4구조장비화생방 및 대테러 구조장비누출제어장비염소용 누출제어키트03
0구급장비교육실습장비구급대원 교육실습장비【기도확보 마네킨】72
1구조장비절단구조장비중량물 유압장비유압콤비툴1422
2구조장비절단구조장비휴대용 윈치휴대용 윈치502
3구조장비탐색구조장비수색장비소방드론632
5구조장비화생방 및 대테러 구조장비제독 소독장비제독텐트22
6구조장비화생방 및 대테러 구조장비화생방 오염환자 이송장비오염 구조대상자 이송낭152