Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows409
Duplicate rows (%)4.1%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Categorical2
Text2
DateTime2
Numeric1

Dataset

Description대한적십자사에서 진행되는 강의 정보(세부) 입니다. 신청기관 명, 강습구분, 강습종류, 강습명, 강습기간, 강습시간 입니다.
Author대한적십자사
URLhttps://www.data.go.kr/data/15123981/fileData.do

Alerts

Dataset has 409 (4.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 16:31:32.447166
Analysis finished2023-12-12 16:31:33.745444
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신청기관 명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기지사
1490 
서울지사
981 
충남지사
790 
전북지사
745 
강원지사
697 
Other values (11)
5297 

Length

Max length7
Median length4
Mean length4.307
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전북지사
2nd row대구지사
3rd row경북지사
4th row충남지사
5th row인천지사

Common Values

ValueCountFrequency (%)
경기지사 1490
14.9%
서울지사 981
9.8%
충남지사 790
 
7.9%
전북지사 745
 
7.4%
강원지사 697
 
7.0%
경북지사 662
 
6.6%
울산지사 625
 
6.2%
부산지사 619
 
6.2%
인천지사 617
 
6.2%
대전·세종지사 597
 
6.0%
Other values (6) 2177
21.8%

Length

2023-12-13T01:31:33.828890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기지사 1490
14.9%
서울지사 981
9.8%
충남지사 790
 
7.9%
전북지사 745
 
7.4%
강원지사 697
 
7.0%
경북지사 662
 
6.6%
울산지사 625
 
6.2%
부산지사 619
 
6.2%
인천지사 617
 
6.2%
대전·세종지사 597
 
6.0%
Other values (6) 2177
21.8%
Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:31:34.048124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length12.7284
Min length5

Characters and Unicode

Total characters127284
Distinct characters97
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row인명구조요원 신규과정
2nd row재해구호 전문인력 양성교육 전문
3rd row교직원 심폐소생술(3H)
4th row교직원 심폐소생술(3H)
5th row응급처치 특강
ValueCountFrequency (%)
응급처치 4302
18.9%
특강 2532
 
11.1%
2 1880
 
8.3%
교직원 1310
 
5.7%
2021 930
 
4.1%
어린이이용시설종사자 793
 
3.5%
인명구조요원 784
 
3.4%
일반과정(8h 774
 
3.4%
신규과정 676
 
3.0%
생존수영(2021 668
 
2.9%
Other values (53) 8136
35.7%
2023-12-13T01:31:34.425003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12785
 
10.0%
2 9764
 
7.7%
4989
 
3.9%
4989
 
3.9%
4989
 
3.9%
4989
 
3.9%
) 4970
 
3.9%
( 4970
 
3.9%
0 3610
 
2.8%
3479
 
2.7%
Other values (87) 67750
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79264
62.3%
Decimal Number 18653
 
14.7%
Space Separator 12785
 
10.0%
Close Punctuation 4970
 
3.9%
Open Punctuation 4970
 
3.9%
Other Punctuation 3777
 
3.0%
Uppercase Letter 2865
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4989
 
6.3%
4989
 
6.3%
4989
 
6.3%
4989
 
6.3%
3479
 
4.4%
2694
 
3.4%
2674
 
3.4%
2532
 
3.2%
2094
 
2.6%
2071
 
2.6%
Other values (74) 43764
55.2%
Decimal Number
ValueCountFrequency (%)
2 9764
52.3%
0 3610
 
19.4%
1 2159
 
11.6%
3 1576
 
8.4%
8 845
 
4.5%
5 690
 
3.7%
4 9
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 2501
66.2%
, 1276
33.8%
Space Separator
ValueCountFrequency (%)
12785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4970
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4970
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 2865
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79264
62.3%
Common 45155
35.5%
Latin 2865
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4989
 
6.3%
4989
 
6.3%
4989
 
6.3%
4989
 
6.3%
3479
 
4.4%
2694
 
3.4%
2674
 
3.4%
2532
 
3.2%
2094
 
2.6%
2071
 
2.6%
Other values (74) 43764
55.2%
Common
ValueCountFrequency (%)
12785
28.3%
2 9764
21.6%
) 4970
 
11.0%
( 4970
 
11.0%
0 3610
 
8.0%
. 2501
 
5.5%
1 2159
 
4.8%
3 1576
 
3.5%
, 1276
 
2.8%
8 845
 
1.9%
Other values (2) 699
 
1.5%
Latin
ValueCountFrequency (%)
H 2865
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79264
62.3%
ASCII 48020
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12785
26.6%
2 9764
20.3%
) 4970
 
10.3%
( 4970
 
10.3%
0 3610
 
7.5%
H 2865
 
6.0%
. 2501
 
5.2%
1 2159
 
4.5%
3 1576
 
3.3%
, 1276
 
2.7%
Other values (3) 1544
 
3.2%
Hangul
ValueCountFrequency (%)
4989
 
6.3%
4989
 
6.3%
4989
 
6.3%
4989
 
6.3%
3479
 
4.4%
2694
 
3.4%
2674
 
3.4%
2532
 
3.2%
2094
 
2.6%
2071
 
2.6%
Other values (74) 43764
55.2%

강습종류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신규
6113 
특강
3488 
재강습
 
355
재평가
 
44

Length

Max length3
Median length2
Mean length2.0399
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신규
2nd row신규
3rd row신규
4th row신규
5th row특강

Common Values

ValueCountFrequency (%)
신규 6113
61.1%
특강 3488
34.9%
재강습 355
 
3.5%
재평가 44
 
0.4%

Length

2023-12-13T01:31:34.560840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:31:34.691058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 6113
61.1%
특강 3488
34.9%
재강습 355
 
3.5%
재평가 44
 
0.4%
Distinct8511
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:31:34.970340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length61
Mean length36.3294
Min length14

Characters and Unicode

Total characters363294
Distinct characters640
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7890 ?
Unique (%)78.9%

Sample

1st row 인명구조요원 신규과정 48h (9.17(토) ~ 10.2(일) / 평가 10.8)
2nd row1회차 재해구호 전문인력 양성교육 전문 21h (6월 전문과정(이론+실습)교육과정)
3rd row1회차 교직원 심폐소생술(3H) 3h (0630 교직원 상주고)
4th row4회차 교직원 심폐소생술(3H) 3h (제4차 보령교육지원청)
5th row1회차 응급처치 특강 2h (너른들부평지역아동센터)
ValueCountFrequency (%)
응급처치 4642
 
7.7%
2h 3477
 
5.7%
특강 2958
 
4.9%
2 1922
 
3.2%
4h 1700
 
2.8%
교직원 1598
 
2.6%
1회차 1371
 
2.3%
8h 1193
 
2.0%
인명구조요원 1129
 
1.9%
3h 1062
 
1.8%
Other values (7068) 39457
65.2%
2023-12-13T01:31:35.435686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54763
 
15.1%
) 19932
 
5.5%
( 19915
 
5.5%
2 19166
 
5.3%
1 12098
 
3.3%
h 10034
 
2.8%
7483
 
2.1%
6916
 
1.9%
0 6275
 
1.7%
6113
 
1.7%
Other values (630) 200599
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182072
50.1%
Decimal Number 59952
 
16.5%
Space Separator 54763
 
15.1%
Close Punctuation 20151
 
5.5%
Open Punctuation 20134
 
5.5%
Lowercase Letter 10046
 
2.8%
Other Punctuation 8736
 
2.4%
Uppercase Letter 4385
 
1.2%
Connector Punctuation 1706
 
0.5%
Math Symbol 675
 
0.2%
Other values (3) 674
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7483
 
4.1%
6916
 
3.8%
6113
 
3.4%
5711
 
3.1%
5617
 
3.1%
5494
 
3.0%
5459
 
3.0%
4908
 
2.7%
4443
 
2.4%
3713
 
2.0%
Other values (568) 126215
69.3%
Uppercase Letter
ValueCountFrequency (%)
H 2933
66.9%
C 274
 
6.2%
A 260
 
5.9%
R 159
 
3.6%
F 143
 
3.3%
Y 131
 
3.0%
B 128
 
2.9%
P 91
 
2.1%
S 76
 
1.7%
K 24
 
0.5%
Other values (14) 166
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 19166
32.0%
1 12098
20.2%
0 6275
 
10.5%
3 4975
 
8.3%
4 4493
 
7.5%
8 4144
 
6.9%
5 3279
 
5.5%
6 2040
 
3.4%
7 1938
 
3.2%
9 1544
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
h 10034
99.9%
e 4
 
< 0.1%
i 1
 
< 0.1%
r 1
 
< 0.1%
d 1
 
< 0.1%
n 1
 
< 0.1%
l 1
 
< 0.1%
c 1
 
< 0.1%
u 1
 
< 0.1%
o 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 5859
67.1%
, 2277
 
26.1%
/ 400
 
4.6%
: 167
 
1.9%
* 27
 
0.3%
& 6
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 19932
98.9%
] 219
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 19915
98.9%
[ 219
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 653
96.7%
+ 22
 
3.3%
Other Symbol
ValueCountFrequency (%)
52
96.3%
2
 
3.7%
Space Separator
ValueCountFrequency (%)
54763
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 619
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182072
50.1%
Common 166791
45.9%
Latin 14431
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7483
 
4.1%
6916
 
3.8%
6113
 
3.4%
5711
 
3.1%
5617
 
3.1%
5494
 
3.0%
5459
 
3.0%
4908
 
2.7%
4443
 
2.4%
3713
 
2.0%
Other values (568) 126215
69.3%
Latin
ValueCountFrequency (%)
h 10034
69.5%
H 2933
 
20.3%
C 274
 
1.9%
A 260
 
1.8%
R 159
 
1.1%
F 143
 
1.0%
Y 131
 
0.9%
B 128
 
0.9%
P 91
 
0.6%
S 76
 
0.5%
Other values (24) 202
 
1.4%
Common
ValueCountFrequency (%)
54763
32.8%
) 19932
 
12.0%
( 19915
 
11.9%
2 19166
 
11.5%
1 12098
 
7.3%
0 6275
 
3.8%
. 5859
 
3.5%
3 4975
 
3.0%
4 4493
 
2.7%
8 4144
 
2.5%
Other values (18) 15171
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182072
50.1%
ASCII 181168
49.9%
Misc Symbols 54
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54763
30.2%
) 19932
 
11.0%
( 19915
 
11.0%
2 19166
 
10.6%
1 12098
 
6.7%
h 10034
 
5.5%
0 6275
 
3.5%
. 5859
 
3.2%
3 4975
 
2.7%
4 4493
 
2.5%
Other values (50) 23658
13.1%
Hangul
ValueCountFrequency (%)
7483
 
4.1%
6916
 
3.8%
6113
 
3.4%
5711
 
3.1%
5617
 
3.1%
5494
 
3.0%
5459
 
3.0%
4908
 
2.7%
4443
 
2.4%
3713
 
2.0%
Other values (568) 126215
69.3%
Misc Symbols
ValueCountFrequency (%)
52
96.3%
2
 
3.7%
Distinct349
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T01:31:35.575932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:31:35.719408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct351
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T01:31:35.869632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:31:36.037803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강습시간
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0266
Minimum0
Maximum11
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:31:36.180283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q37
95-th percentile8
Maximum11
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.4156316
Coefficient of variation (CV)0.59991844
Kurtosis-1.0323051
Mean4.0266
Median Absolute Deviation (MAD)1
Skewness0.68322544
Sum40266
Variance5.835276
MonotonicityNot monotonic
2023-12-13T01:31:36.286548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3523
35.2%
4 1927
19.3%
8 1871
18.7%
3 1127
 
11.3%
7 694
 
6.9%
1 574
 
5.7%
6 205
 
2.1%
5 55
 
0.5%
11 11
 
0.1%
10 6
 
0.1%
Other values (2) 7
 
0.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 574
 
5.7%
2 3523
35.2%
3 1127
 
11.3%
4 1927
19.3%
5 55
 
0.5%
6 205
 
2.1%
7 694
 
6.9%
8 1871
18.7%
9 5
 
0.1%
ValueCountFrequency (%)
11 11
 
0.1%
10 6
 
0.1%
9 5
 
0.1%
8 1871
18.7%
7 694
 
6.9%
6 205
 
2.1%
5 55
 
0.5%
4 1927
19.3%
3 1127
 
11.3%
2 3523
35.2%

Interactions

2023-12-13T01:31:33.413601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:31:36.371844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청기관 명강습구분강습종류강습시간
신청기관 명1.0000.7710.2470.447
강습구분0.7711.0001.0000.915
강습종류0.2471.0001.0000.646
강습시간0.4470.9150.6461.000
2023-12-13T01:31:36.450033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습종류신청기관 명
강습종류1.0000.118
신청기관 명0.1181.000
2023-12-13T01:31:36.525844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습시간신청기관 명강습종류
강습시간1.0000.1920.446
신청기관 명0.1921.0000.118
강습종류0.4460.1181.000

Missing values

2023-12-13T01:31:33.536691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:31:33.669356image/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

신청기관 명강습구분강습종류강습명강습시작일강습종료일강습시간
6925전북지사인명구조요원 신규과정신규인명구조요원 신규과정 48h (9.17(토) ~ 10.2(일) / 평가 10.8)2022-09-172022-10-028
3625대구지사재해구호 전문인력 양성교육 전문신규1회차 재해구호 전문인력 양성교육 전문 21h (6월 전문과정(이론+실습)교육과정)2022-06-282022-06-306
3807경북지사교직원 심폐소생술(3H)신규1회차 교직원 심폐소생술(3H) 3h (0630 교직원 상주고)2022-06-302022-06-303
1859충남지사교직원 심폐소생술(3H)신규4회차 교직원 심폐소생술(3H) 3h (제4차 보령교육지원청)2022-05-172022-05-173
7137인천지사응급처치 특강특강1회차 응급처치 특강 2h (너른들부평지역아동센터)2022-09-222022-09-222
9282대전·세종지사찾아가는 재난안전교실특강65회차 찾아가는 재난안전교실 2h (송촌초등학교(1))2022-11-072022-11-072
7061대구지사교직원 응급처치(3H)신규교직원 응급처치(3H) 3h (교직원 응급처치(북부초등학교))2022-09-212022-09-213
2942경북지사교직원 심폐소생술(3H)신규1회차 교직원 심폐소생술(3H) 3h (0615 교직원 상주중)2022-06-152022-06-153
9485경북지사응급처치 특강특강1회차 응급처치 특강 2h (1110 특강 고령군청)2022-11-102022-11-102
6961충남지사교직원 응급처치(3H)신규95회차 교직원 응급처치(3H) 3h (제95차 예산교육지원청)2022-09-192022-09-193
신청기관 명강습구분강습종류강습명강습시작일강습종료일강습시간
11827서울지사응급처치 특강특강응급처치 특강 2h (연세대학교(서대문구보건소)(오후, 2학급))2022-12-222022-12-222
3601제주지사생존수영(2021. 2)특강4회차 생존수영(2021. 2) 12h (새서귀초등학교 6학년)2022-06-272022-07-014
4218경기지사청소년 응급처치신규청소년 응급처치 4h (성남_서현초등학교 3-6)2022-07-062022-07-064
10061충남지사응급처치 특강특강32회차 응급처치 특강 2h (충청남도경찰청(11.21/서북10))2022-11-212022-11-212
2332서울지사어린이이용시설종사자 실습(2022.03)신규어린이이용시설종사자 실습(2022.03) 2h (강남구육아종합지원센터(1학급))2022-05-272022-05-272
4867울산지사생존수영(2021. 2)특강생존수영(2021. 2) 4h (찾아가는 교내안전체험교육, 염포초, 7.18(월))2022-07-182022-07-184
6641울산지사생존수영(2021. 2)특강생존수영(2021. 2) 8h (찾아가는 교내안전체험교육, 온산초, 9.13(화)~9.14(수))2022-09-132022-09-144
3115충북지사생존수영(2021. 2)특강생존수영(2021. 2) 15h (6월 교원 생존수영 연수)2022-06-182022-06-258
10501경북지사인명구조요원 신규과정신규8회차 인명구조요원 신규과정 48h (1125 제8차 인명(해병1사단))2022-11-262022-12-118
8245부산지사청소년 응급처치신규2회차 청소년 응급처치 4h (응급처치 경연대회)2022-10-162022-10-164

Duplicate rows

Most frequently occurring

신청기관 명강습구분강습종류강습명강습시작일강습종료일강습시간# duplicates
256서울지사인명구조요원 신규과정신규4회차 인명구조요원 신규과정 48h ([단체] 4차 인명구조요원 신규과정)2022-03-142022-04-29217
237서울지사수상안전 강사 신규과정(52H, 2022)신규1회차 수상안전 강사 신규과정(52H, 2022) 52h (상설 1차 수상안전강사 신규과정)2022-09-172022-10-1669
29경기지사수상구조사 신규과정신규2회차 수상구조사 신규과정 64h (2차 수상구조사 사전교육(주말반_개천절포함) 과정)2022-09-172022-10-0888
3강원지사수상안전 강사 신규과정(52H, 2022)신규2회차 수상안전 강사 신규과정(52H, 2022) 52h (11.19(토)~12.10(토), 평가 12.11(일), 횡성.주말반)2022-11-192022-12-1087
5강원지사응급처치 강사 신규과정(52H, 2022)신규응급처치 강사 신규과정(52H, 2022) 52h (도청활 응급처치 강사과정)2022-11-012022-11-2287
13강원지사인명구조요원 신규과정신규10회차 인명구조요원 신규과정 48h (9.17(토)~10.08(토),주말반,횡성, 10.09(일)평가)2022-09-172022-10-0877
25강원지사인명구조요원 신규과정신규8회차 인명구조요원 신규과정 48h (6.04(토)~6.25(토),주말반,횡성, 6.26(일)평가)2022-06-042022-06-2587
32경기지사응급처치 강사 신규과정(52H, 2021. 2)신규응급처치 강사 신규과정(52H, 2021. 2) 52h (용인예술과학대학교 1.3~1.10)2022-01-032022-01-1087
33경기지사응급처치 강사 신규과정(52H, 2021. 2)신규응급처치 강사 신규과정(52H, 2021. 2) 60h (10월 북부(의정부_주중반) 10.12~10.21)2022-10-122022-10-2187
34경기지사응급처치 강사 신규과정(52H, 2021. 2)신규응급처치 강사 신규과정(52H, 2021. 2) 60h (11월 경기지사(수원_주말반) 11.5~27)2022-11-052022-11-2787