Overview

Dataset statistics

Number of variables6
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory53.1 B

Variable types

Categorical3
Text2
Numeric1

Dataset

Description인천소방학교에서 교육중인 교육훈련 입니다. 응급구조사 2급양성 ,인명구조사 2급심화반 전문구급대원 양성반, 화재진압전술반, 항공기사고대응반 등을 교육 운영 현황 입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105869&srcSe=7661IVAWM27C61E190

Alerts

총인원 is highly overall correlated with 횟수High correlation
횟수 is highly overall correlated with 총인원High correlation
과정명 has unique valuesUnique

Reproduction

Analysis started2024-05-03 19:42:33.852935
Analysis finished2024-05-03 19:42:35.593407
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
집합
20 
원격
9 
특별
5 
시민안전교육
4 
보수
 
2
Other values (2)
 
2

Length

Max length6
Median length2
Mean length2.4761905
Min length2

Unique

Unique2 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
집합 20
47.6%
원격 9
21.4%
특별 5
 
11.9%
시민안전교육 4
 
9.5%
보수 2
 
4.8%
전문지휘과정 1
 
2.4%
신임 1
 
2.4%

Length

2024-05-03T19:42:35.847859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:42:36.295188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집합 20
47.6%
원격 9
21.4%
특별 5
 
11.9%
시민안전교육 4
 
9.5%
보수 2
 
4.8%
전문지휘과정 1
 
2.4%
신임 1
 
2.4%

과정명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-03T19:42:36.941098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length11.690476
Min length6

Characters and Unicode

Total characters491
Distinct characters129
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row생활안전구조반
2nd row기초구급반(펌뷸런스)
3rd row교수요원프로코칭반
4th row스마트응급의료반(전문구급대원양성반)
5th row화재대응능력1급양성반
ValueCountFrequency (%)
및 3
 
5.2%
소방시설기계전기반 2
 
3.4%
등 2
 
3.4%
긴급구조 2
 
3.4%
보수교육과정 2
 
3.4%
생활안전구조반 1
 
1.7%
인명구조사 1
 
1.7%
소방장비검수(계약)반 1
 
1.7%
현장지휘역량향상반 1
 
1.7%
응급처치능력향상2반 1
 
1.7%
Other values (42) 42
72.4%
2024-05-03T19:42:38.074206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
반 38
 
7.7%
35
 
7.1%
급 15
 
3.1%
방 14
 
2.9%
소 13
 
2.6%
조 12
 
2.4%
사 12
 
2.4%
) 11
 
2.2%
구 11
 
2.2%
( 11
 
2.2%
Other values (119) 319
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
84.9%
Space Separator 35
 
7.1%
Decimal Number 16
 
3.3%
Close Punctuation 11
 
2.2%
Open Punctuation 11
 
2.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
반 38
 
9.1%
급 15
 
3.6%
방 14
 
3.4%
소 13
 
3.1%
조 12
 
2.9%
사 12
 
2.9%
구 11
 
2.6%
기 10
 
2.4%
대 9
 
2.2%
무 9
 
2.2%
Other values (111) 274
65.7%
Decimal Number
ValueCountFrequency (%)
1 7
43.8%
2 6
37.5%
9 2
 
12.5%
5 1
 
6.2%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
84.9%
Common 74
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
반 38
 
9.1%
급 15
 
3.6%
방 14
 
3.4%
소 13
 
3.1%
조 12
 
2.9%
사 12
 
2.9%
구 11
 
2.6%
기 10
 
2.4%
대 9
 
2.2%
무 9
 
2.2%
Other values (111) 274
65.7%
Common
ValueCountFrequency (%)
35
47.3%
) 11
 
14.9%
( 11
 
14.9%
1 7
 
9.5%
2 6
 
8.1%
9 2
 
2.7%
5 1
 
1.4%
, 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
84.9%
ASCII 74
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
반 38
 
9.1%
급 15
 
3.6%
방 14
 
3.4%
소 13
 
3.1%
조 12
 
2.9%
사 12
 
2.9%
구 11
 
2.6%
기 10
 
2.4%
대 9
 
2.2%
무 9
 
2.2%
Other values (111) 274
65.7%
ASCII
ValueCountFrequency (%)
35
47.3%
) 11
 
14.9%
( 11
 
14.9%
1 7
 
9.5%
2 6
 
8.1%
9 2
 
2.7%
5 1
 
1.4%
, 1
 
1.4%

교육대상
Text

Distinct23
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-03T19:42:38.895684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length9.1190476
Min length3

Characters and Unicode

Total characters383
Distinct characters82
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)45.2%

Sample

1st row소방위 이하(안전센터 및 구조대생활안전구조대원)
2nd row소방장 이하(펌뷸런스 탑승대원 중 구급무자격자)
3rd row소방위 이하
4th row소방교 이하(응급구조사1급자격자)
5th row화재대응능력1급 자격취득희망자
ValueCountFrequency (%)
소방위 19
24.1%
이하 16
20.3%
자격소지자 3
 
3.8%
자격취득희망자 2
 
2.5%
의용소방대 2
 
2.5%
및 2
 
2.5%
긴급구조기관 2
 
2.5%
수료자 2
 
2.5%
응급구조사2급양성반 2
 
2.5%
구조대생활안전구조대원 1
 
1.3%
Other values (28) 28
35.4%
2024-05-03T19:42:40.302921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
9.7%
소 29
 
7.6%
자 26
 
6.8%
방 25
 
6.5%
이 21
 
5.5%
하 20
 
5.2%
위 19
 
5.0%
대 12
 
3.1%
급 12
 
3.1%
조 11
 
2.9%
Other values (72) 171
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
84.3%
Space Separator 37
 
9.7%
Decimal Number 9
 
2.3%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Other Punctuation 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 29
 
9.0%
자 26
 
8.0%
방 25
 
7.7%
이 21
 
6.5%
하 20
 
6.2%
위 19
 
5.9%
대 12
 
3.7%
급 12
 
3.7%
조 11
 
3.4%
구 11
 
3.4%
Other values (65) 137
42.4%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 4
44.4%
9 1
 
11.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
84.3%
Common 60
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 29
 
9.0%
자 26
 
8.0%
방 25
 
7.7%
이 21
 
6.5%
하 20
 
6.2%
위 19
 
5.9%
대 12
 
3.7%
급 12
 
3.7%
조 11
 
3.4%
구 11
 
3.4%
Other values (65) 137
42.4%
Common
ValueCountFrequency (%)
37
61.7%
) 5
 
8.3%
( 5
 
8.3%
1 4
 
6.7%
2 4
 
6.7%
, 4
 
6.7%
9 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
84.3%
ASCII 60
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
61.7%
) 5
 
8.3%
( 5
 
8.3%
1 4
 
6.7%
2 4
 
6.7%
, 4
 
6.7%
9 1
 
1.7%
Hangul
ValueCountFrequency (%)
소 29
 
9.0%
자 26
 
8.0%
방 25
 
7.7%
이 21
 
6.5%
하 20
 
6.2%
위 19
 
5.9%
대 12
 
3.7%
급 12
 
3.7%
조 11
 
3.4%
구 11
 
3.4%
Other values (65) 137
42.4%

기간
Categorical

Distinct10
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3일
16 
1주
8 
1일
7 
2일
4 
2주
2 
Other values (5)
5 

Length

Max length3
Median length2
Mean length2.047619
Min length2

Unique

Unique5 ?
Unique (%)11.9%

Sample

1st row3일
2nd row1주
3rd row3일
4th row1주
5th row3주

Common Values

ValueCountFrequency (%)
3일 16
38.1%
1주 8
19.0%
1일 7
16.7%
2일 4
 
9.5%
2주 2
 
4.8%
3주 1
 
2.4%
4일 1
 
2.4%
10주 1
 
2.4%
5주 1
 
2.4%
24주 1
 
2.4%

Length

2024-05-03T19:42:40.922774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:42:41.486453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3일 16
38.1%
1주 8
19.0%
1일 7
16.7%
2일 4
 
9.5%
2주 2
 
4.8%
3주 1
 
2.4%
4일 1
 
2.4%
10주 1
 
2.4%
5주 1
 
2.4%
24주 1
 
2.4%

횟수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
31 
2
7 
4
 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 31
73.8%
2 7
 
16.7%
4 2
 
4.8%
3 2
 
4.8%

Length

2024-05-03T19:42:42.393421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:42:42.814190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
73.8%
2 7
 
16.7%
4 2
 
4.8%
3 2
 
4.8%

총인원
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.261905
Minimum12
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-03T19:42:43.431382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile20
Q130
median30
Q360
95-th percentile192.15
Maximum264
Range252
Interquartile range (IQR)30

Descriptive statistics

Standard deviation58.242998
Coefficient of variation (CV)0.99967549
Kurtosis5.0020692
Mean58.261905
Median Absolute Deviation (MAD)10
Skewness2.2919672
Sum2447
Variance3392.2468
MonotonicityNot monotonic
2024-05-03T19:42:43.850927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
30 13
31.0%
40 6
14.3%
20 4
 
9.5%
60 3
 
7.1%
80 2
 
4.8%
25 1
 
2.4%
195 1
 
2.4%
138 1
 
2.4%
135 1
 
2.4%
100 1
 
2.4%
Other values (9) 9
21.4%
ValueCountFrequency (%)
12 1
 
2.4%
13 1
 
2.4%
20 4
 
9.5%
22 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
30 13
31.0%
40 6
14.3%
44 1
 
2.4%
60 3
 
7.1%
ValueCountFrequency (%)
264 1
 
2.4%
240 1
 
2.4%
195 1
 
2.4%
138 1
 
2.4%
135 1
 
2.4%
120 1
 
2.4%
100 1
 
2.4%
80 2
4.8%
65 1
 
2.4%
60 3
7.1%

Interactions

2024-05-03T19:42:34.580394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T19:42:44.127517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분과정명교육대상기간횟수총인원
구분1.0001.0000.9340.7610.5710.808
과정명1.0001.0001.0001.0001.0001.000
교육대상0.9341.0001.0000.9070.0000.000
기간0.7611.0000.9071.0000.0000.000
횟수0.5711.0000.0000.0001.0000.865
총인원0.8081.0000.0000.0000.8651.000
2024-05-03T19:42:44.434857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분횟수기간
구분1.0000.4100.495
횟수0.4101.0000.000
기간0.4950.0001.000
2024-05-03T19:42:44.729160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총인원구분기간횟수
총인원1.0000.4020.0000.765
구분0.4021.0000.4950.410
기간0.0000.4951.0000.000
횟수0.7650.4100.0001.000

Missing values

2024-05-03T19:42:35.003197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:42:35.476778image/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

구분과정명교육대상기간횟수총인원
0집합생활안전구조반소방위 이하(안전센터 및 구조대생활안전구조대원)3일125
1집합기초구급반(펌뷸런스)소방장 이하(펌뷸런스 탑승대원 중 구급무자격자)1주113
2집합교수요원프로코칭반소방위 이하3일130
3집합스마트응급의료반(전문구급대원양성반)소방교 이하(응급구조사1급자격자)1주120
4집합화재대응능력1급양성반화재대응능력1급 자격취득희망자3주130
5집합동료심리상담사반(힐링캠프)전직원3일244
6집합소방시설기계전기반소방위 이하4일130
7집합화재조사실무반(화재특별조사)화재조사관 유자격자3일130
8집합특별사법경찰관리실무반소방위 이하1주130
9집합유해화학물질사고대응반소방위 이하1주120
구분과정명교육대상기간횟수총인원
32특별긴급구조 및 재난관리자반긴급구조기관1일140
33특별퇴직(예정)자반퇴직(예정)자2일130
34보수인명구조사 2급 보수교육과정자격소지자1일280
35보수화재조사관 보수교육과정자격소지자1일130
36시민안전교육시민체험교육(기초소방안전실무)자격소지자2일130
37시민안전교육119안전캠프(소방고교 등)관내시민1일260
38시민안전교육재난관리부대 안전교육초,중,고청소년2일140
39시민안전교육특별시설물관계자반(초고층, 지하구 등)군,경재난관리부대1일280
40전문지휘과정소방위기본반소방위3일3135
41신임제25기 신임소방공무원반임용예정자24주1138