Overview

Dataset statistics

Number of variables12
Number of observations1918
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory183.7 KiB
Average record size in memory98.1 B

Variable types

Text3
Categorical6
DateTime2
Numeric1

Dataset

Description대한적십자사 보건안전 교육 정보입니다. 강습번보, 강습년도, 기관명, 강습구분, 강습구분명, 강습시작일, 강습종료일, 강승비, 강습상태, 강습장도등 입니다.
Author대한적십자사
URLhttps://www.data.go.kr/data/15091571/fileData.do

Alerts

강습년도 has constant value ""Constant
Dataset has 2 (0.1%) duplicate rowsDuplicates
강습구분명 is highly overall correlated with 강습구분 and 1 other fieldsHigh correlation
강습구분 is highly overall correlated with 강습구분명 and 2 other fieldsHigh correlation
강습비 is highly overall correlated with 강습구분 and 1 other fieldsHigh correlation
강습상태 is highly overall correlated with 강습구분High correlation

Reproduction

Analysis started2023-12-12 20:04:43.881693
Analysis finished2023-12-12 20:04:45.565543
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1749
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T05:04:45.905848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters11508
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1599 ?
Unique (%)83.4%

Sample

1st row58,826
2nd row55,972
3rd row59,170
4th row59,171
5th row59,174
ValueCountFrequency (%)
58,640 3
 
0.2%
57,801 3
 
0.2%
61,344 3
 
0.2%
58,664 3
 
0.2%
58,465 3
 
0.2%
61,722 3
 
0.2%
60,649 3
 
0.2%
59,745 3
 
0.2%
58,821 3
 
0.2%
58,195 3
 
0.2%
Other values (1739) 1888
98.4%
2023-12-13T05:04:46.448452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1918
16.7%
5 1633
14.2%
6 1573
13.7%
2 958
8.3%
8 844
7.3%
1 841
7.3%
7 831
7.2%
9 774
6.7%
3 743
 
6.5%
0 731
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9590
83.3%
Other Punctuation 1918
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1633
17.0%
6 1573
16.4%
2 958
10.0%
8 844
8.8%
1 841
8.8%
7 831
8.7%
9 774
8.1%
3 743
7.7%
0 731
7.6%
4 662
6.9%
Other Punctuation
ValueCountFrequency (%)
, 1918
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11508
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 1918
16.7%
5 1633
14.2%
6 1573
13.7%
2 958
8.3%
8 844
7.3%
1 841
7.3%
7 831
7.2%
9 774
6.7%
3 743
 
6.5%
0 731
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1918
16.7%
5 1633
14.2%
6 1573
13.7%
2 958
8.3%
8 844
7.3%
1 841
7.3%
7 831
7.2%
9 774
6.7%
3 743
 
6.5%
0 731
 
6.4%

강습년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2020
1918 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 1918
100.0%

Length

2023-12-13T05:04:46.590872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:04:46.714175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 1918
100.0%

기관명
Categorical

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
경기지사
282 
대전·세종지사
191 
대구지사
186 
강원지사
176 
전북지사
163 
Other values (11)
920 

Length

Max length7
Median length4
Mean length4.4108446
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기지사 282
14.7%
대전·세종지사 191
10.0%
대구지사 186
9.7%
강원지사 176
9.2%
전북지사 163
8.5%
서울지사 150
7.8%
인천지사 114
 
5.9%
울산지사 110
 
5.7%
충북지사 94
 
4.9%
제주지사 86
 
4.5%
Other values (6) 366
19.1%

Length

2023-12-13T05:04:46.838287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기지사 282
14.7%
대전·세종지사 191
10.0%
대구지사 186
9.7%
강원지사 176
9.2%
전북지사 163
8.5%
서울지사 150
7.8%
인천지사 114
 
5.9%
울산지사 110
 
5.7%
충북지사 94
 
4.9%
제주지사 86
 
4.5%
Other values (6) 366
19.1%

강습구분
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
인명구조요원 재강습(2020)
245 
심폐소생술(2020년)
239 
응급처치 일반과정(2020년)
238 
응급처치 특강
216 
심리사회적지지 특강
195 
Other values (37)
785 

Length

Max length22
Median length18
Mean length12.979666
Min length6

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st row심폐소생술(2020년)
2nd row재해구호 전문인력 양성교육 전문
3rd row심리적 응급처치 과정
4th row심리적 응급처치 과정
5th row심리적 응급처치 과정

Common Values

ValueCountFrequency (%)
인명구조요원 재강습(2020) 245
12.8%
심폐소생술(2020년) 239
12.5%
응급처치 일반과정(2020년) 238
12.4%
응급처치 특강 216
11.3%
심리사회적지지 특강 195
10.2%
찾아가는 재난안전교실 139
 
7.2%
심리적 응급처치 과정 62
 
3.2%
응급처치 강사 재강습(2020년) 60
 
3.1%
인명구조요원 신규과정(2020) 58
 
3.0%
재해구호 전문인력 양성교육 기본 54
 
2.8%
Other values (32) 412
21.5%

Length

2023-12-13T05:04:46.995044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
응급처치 650
16.7%
특강 411
 
10.6%
인명구조요원 325
 
8.3%
재강습(2020 280
 
7.2%
심폐소생술(2020년 239
 
6.1%
일반과정(2020년 238
 
6.1%
심리사회적지지 225
 
5.8%
찾아가는 139
 
3.6%
재난안전교실 139
 
3.6%
강사 116
 
3.0%
Other values (43) 1133
29.1%

강습구분명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
신규
897 
특강
556 
재강습
427 
재평가
 
38

Length

Max length3
Median length2
Mean length2.24244
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 897
46.8%
특강 556
29.0%
재강습 427
22.3%
재평가 38
 
2.0%

Length

2023-12-13T05:04:47.151510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:04:47.266896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 897
46.8%
특강 556
29.0%
재강습 427
22.3%
재평가 38
 
2.0%
Distinct1621
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T05:04:47.522221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length58
Mean length34.985923
Min length15

Characters and Unicode

Total characters67103
Distinct characters354
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1410 ?
Unique (%)73.5%

Sample

1st row 심폐소생술(2020년) 4h (9월 1차 상설(오후반))
2nd row1회차 재해구호 전문인력 양성교육 전문 21h
3rd row1회차 심리적 응급처치 과정 4h
4th row2회차 심리적 응급처치 과정 4h
5th row3회차 심리적 응급처치 과정 4h
ValueCountFrequency (%)
응급처치 707
 
6.3%
인명구조요원 429
 
3.8%
특강 416
 
3.7%
4h 408
 
3.6%
8h 364
 
3.2%
2h 324
 
2.9%
재강습(2020 284
 
2.5%
12h 281
 
2.5%
1회차 248
 
2.2%
심리사회적지지 246
 
2.2%
Other values (1251) 7499
66.9%
2023-12-13T05:04:47.998327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10052
 
15.0%
( 3569
 
5.3%
) 3567
 
5.3%
2 3353
 
5.0%
0 2318
 
3.5%
1 2082
 
3.1%
h 1938
 
2.9%
1637
 
2.4%
1541
 
2.3%
1287
 
1.9%
Other values (344) 35759
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35074
52.3%
Decimal Number 11000
 
16.4%
Space Separator 10052
 
15.0%
Open Punctuation 3570
 
5.3%
Close Punctuation 3568
 
5.3%
Lowercase Letter 1982
 
3.0%
Other Punctuation 919
 
1.4%
Uppercase Letter 536
 
0.8%
Connector Punctuation 210
 
0.3%
Math Symbol 150
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1637
 
4.7%
1541
 
4.4%
1287
 
3.7%
1021
 
2.9%
992
 
2.8%
949
 
2.7%
869
 
2.5%
793
 
2.3%
789
 
2.2%
786
 
2.2%
Other values (301) 24410
69.6%
Uppercase Letter
ValueCountFrequency (%)
H 137
25.6%
T 74
13.8%
P 68
12.7%
C 58
10.8%
R 55
10.3%
O 37
 
6.9%
S 31
 
5.8%
A 24
 
4.5%
F 16
 
3.0%
Y 13
 
2.4%
Other values (4) 23
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 3353
30.5%
0 2318
21.1%
1 2082
18.9%
4 791
 
7.2%
8 727
 
6.6%
7 448
 
4.1%
6 405
 
3.7%
3 346
 
3.1%
5 309
 
2.8%
9 221
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 570
62.0%
, 273
29.7%
/ 50
 
5.4%
: 15
 
1.6%
* 9
 
1.0%
! 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
h 1938
97.8%
p 11
 
0.6%
e 11
 
0.6%
f 11
 
0.6%
a 11
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 3569
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3567
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
10052
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35074
52.3%
Common 29511
44.0%
Latin 2518
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1637
 
4.7%
1541
 
4.4%
1287
 
3.7%
1021
 
2.9%
992
 
2.8%
949
 
2.7%
869
 
2.5%
793
 
2.3%
789
 
2.2%
786
 
2.2%
Other values (301) 24410
69.6%
Common
ValueCountFrequency (%)
10052
34.1%
( 3569
 
12.1%
) 3567
 
12.1%
2 3353
 
11.4%
0 2318
 
7.9%
1 2082
 
7.1%
4 791
 
2.7%
8 727
 
2.5%
. 570
 
1.9%
7 448
 
1.5%
Other values (14) 2034
 
6.9%
Latin
ValueCountFrequency (%)
h 1938
77.0%
H 137
 
5.4%
T 74
 
2.9%
P 68
 
2.7%
C 58
 
2.3%
R 55
 
2.2%
O 37
 
1.5%
S 31
 
1.2%
A 24
 
1.0%
F 16
 
0.6%
Other values (9) 80
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35074
52.3%
ASCII 32029
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10052
31.4%
( 3569
 
11.1%
) 3567
 
11.1%
2 3353
 
10.5%
0 2318
 
7.2%
1 2082
 
6.5%
h 1938
 
6.1%
4 791
 
2.5%
8 727
 
2.3%
. 570
 
1.8%
Other values (33) 3062
 
9.6%
Hangul
ValueCountFrequency (%)
1637
 
4.7%
1541
 
4.4%
1287
 
3.7%
1021
 
2.9%
992
 
2.8%
949
 
2.7%
869
 
2.5%
793
 
2.3%
789
 
2.2%
786
 
2.2%
Other values (301) 24410
69.6%
Distinct265
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum2019-09-22 00:00:00
Maximum2021-02-19 00:00:00
2023-12-13T05:04:48.123008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:04:48.298494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강습시작월
Real number (ℝ)

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0818561
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2023-12-13T05:04:48.429574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8471905
Coefficient of variation (CV)0.35229414
Kurtosis0.034902149
Mean8.0818561
Median Absolute Deviation (MAD)2
Skewness-0.72557672
Sum15501
Variance8.1064938
MonotonicityNot monotonic
2023-12-13T05:04:48.551547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 323
16.8%
11 315
16.4%
7 259
13.5%
6 225
11.7%
8 180
9.4%
5 180
9.4%
9 153
8.0%
12 145
7.6%
1 103
 
5.4%
2 27
 
1.4%
Other values (2) 8
 
0.4%
ValueCountFrequency (%)
1 103
 
5.4%
2 27
 
1.4%
3 3
 
0.2%
4 5
 
0.3%
5 180
9.4%
6 225
11.7%
7 259
13.5%
8 180
9.4%
9 153
8.0%
10 323
16.8%
ValueCountFrequency (%)
12 145
7.6%
11 315
16.4%
10 323
16.8%
9 153
8.0%
8 180
9.4%
7 259
13.5%
6 225
11.7%
5 180
9.4%
4 5
 
0.3%
3 3
 
0.2%
Distinct270
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum2019-09-22 00:00:00
Maximum2021-09-16 00:00:00
2023-12-13T05:04:48.684205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:04:48.827691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강습비
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
100,000
739 
50,000
419 
40,000
215 
70,000
214 
200,000
88 
Other values (14)
243 

Length

Max length9
Median length6
Mean length6.4937435
Min length6

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st row40,000
2nd row100,000
3rd row100,000
4th row100,000
5th row100,000

Common Values

ValueCountFrequency (%)
100,000 739
38.5%
50,000 419
21.8%
40,000 215
 
11.2%
70,000 214
 
11.2%
200,000 88
 
4.6%
20,000 81
 
4.2%
250,000 58
 
3.0%
150,000 31
 
1.6%
30,000 22
 
1.1%
110,000 17
 
0.9%
Other values (9) 34
 
1.8%

Length

2023-12-13T05:04:48.969343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
100,000 739
38.5%
50,000 419
21.8%
40,000 215
 
11.2%
70,000 214
 
11.2%
200,000 88
 
4.6%
20,000 81
 
4.2%
250,000 58
 
3.0%
150,000 31
 
1.6%
30,000 22
 
1.1%
60,000 17
 
0.9%
Other values (9) 34
 
1.8%

강습상태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
마감
1690 
진행중
228 

Length

Max length3
Median length2
Mean length2.1188738
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마감 1690
88.1%
진행중 228
 
11.9%

Length

2023-12-13T05:04:49.099282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:04:49.202911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마감 1690
88.1%
진행중 228
 
11.9%
Distinct409
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T05:04:49.460427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length11.109489
Min length2

Characters and Unicode

Total characters21308
Distinct characters332
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)9.5%

Sample

1st row대한적십자사 울산지사
2nd row대한적십자사 울산지사
3rd row대한적십자사 울산지사
4th row대한적십자사 울산지사
5th row대한적십자사 울산지사
ValueCountFrequency (%)
대한적십자사 409
 
13.1%
강의장 177
 
5.7%
강당 113
 
3.6%
울산지사 92
 
2.9%
전북지사 85
 
2.7%
경기지사 81
 
2.6%
부산지사 76
 
2.4%
1층 74
 
2.4%
긴급구호종합센터(재난안전센터 68
 
2.2%
지사 68
 
2.2%
Other values (489) 1883
60.2%
2023-12-13T05:04:49.983016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1601
 
7.5%
1227
 
5.8%
948
 
4.4%
0 908
 
4.3%
2 751
 
3.5%
673
 
3.2%
1 629
 
3.0%
610
 
2.9%
591
 
2.8%
586
 
2.8%
Other values (322) 12784
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16092
75.5%
Decimal Number 3140
 
14.7%
Space Separator 1227
 
5.8%
Open Punctuation 264
 
1.2%
Close Punctuation 264
 
1.2%
Math Symbol 162
 
0.8%
Dash Punctuation 99
 
0.5%
Uppercase Letter 46
 
0.2%
Other Punctuation 13
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1601
 
9.9%
948
 
5.9%
673
 
4.2%
610
 
3.8%
591
 
3.7%
586
 
3.6%
559
 
3.5%
419
 
2.6%
400
 
2.5%
357
 
2.2%
Other values (298) 9348
58.1%
Decimal Number
ValueCountFrequency (%)
0 908
28.9%
2 751
23.9%
1 629
20.0%
3 243
 
7.7%
9 234
 
7.5%
5 147
 
4.7%
7 89
 
2.8%
4 86
 
2.7%
8 33
 
1.1%
6 20
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 13
28.3%
S 8
17.4%
M 7
15.2%
A 6
13.0%
W 6
13.0%
Y 6
13.0%
Other Punctuation
ValueCountFrequency (%)
· 12
92.3%
, 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Math Symbol
ValueCountFrequency (%)
~ 162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16092
75.5%
Common 5170
 
24.3%
Latin 46
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1601
 
9.9%
948
 
5.9%
673
 
4.2%
610
 
3.8%
591
 
3.7%
586
 
3.6%
559
 
3.5%
419
 
2.6%
400
 
2.5%
357
 
2.2%
Other values (298) 9348
58.1%
Common
ValueCountFrequency (%)
1227
23.7%
0 908
17.6%
2 751
14.5%
1 629
12.2%
( 264
 
5.1%
) 264
 
5.1%
3 243
 
4.7%
9 234
 
4.5%
~ 162
 
3.1%
5 147
 
2.8%
Other values (8) 341
 
6.6%
Latin
ValueCountFrequency (%)
C 13
28.3%
S 8
17.4%
M 7
15.2%
A 6
13.0%
W 6
13.0%
Y 6
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16092
75.5%
ASCII 5204
 
24.4%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1601
 
9.9%
948
 
5.9%
673
 
4.2%
610
 
3.8%
591
 
3.7%
586
 
3.6%
559
 
3.5%
419
 
2.6%
400
 
2.5%
357
 
2.2%
Other values (298) 9348
58.1%
ASCII
ValueCountFrequency (%)
1227
23.6%
0 908
17.4%
2 751
14.4%
1 629
12.1%
( 264
 
5.1%
) 264
 
5.1%
3 243
 
4.7%
9 234
 
4.5%
~ 162
 
3.1%
5 147
 
2.8%
Other values (13) 375
 
7.2%
None
ValueCountFrequency (%)
· 12
100.0%

Interactions

2023-12-13T05:04:44.837713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:04:50.110265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명강습구분강습구분명강습시작월강습비강습상태
기관명1.0000.7950.5090.3970.5020.517
강습구분0.7951.0001.0000.5970.9680.730
강습구분명0.5091.0001.0000.2940.8490.419
강습시작월0.3970.5970.2941.0000.3420.208
강습비0.5020.9680.8490.3421.0000.458
강습상태0.5170.7300.4190.2080.4581.000
2023-12-13T05:04:50.239404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습구분명강습상태강습비기관명강습구분
강습구분명1.0000.2810.6510.2590.990
강습상태0.2811.0000.4050.4070.591
강습비0.6510.4051.0000.1820.690
기관명0.2590.4070.1821.0000.347
강습구분0.9900.5910.6900.3471.000
2023-12-13T05:04:50.371520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습시작월기관명강습구분강습구분명강습비강습상태
강습시작월1.0000.1670.2490.1790.1350.159
기관명0.1671.0000.3470.2590.1820.407
강습구분0.2490.3471.0000.9900.6900.591
강습구분명0.1790.2590.9901.0000.6510.281
강습비0.1350.1820.6900.6511.0000.405
강습상태0.1590.4070.5910.2810.4051.000

Missing values

2023-12-13T05:04:45.280645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:04:45.480231image/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

강습번호강습년도기관명강습구분강습구분명강습명강습시작일강습시작월강습종료일강습비강습상태강습장소(명)
058,8262020울산지사심폐소생술(2020년)신규심폐소생술(2020년) 4h (9월 1차 상설(오후반))2020-08-0482020-09-1040,000마감대한적십자사 울산지사
155,9722020울산지사재해구호 전문인력 양성교육 전문신규1회차 재해구호 전문인력 양성교육 전문 21h2020-02-1322020-02-16100,000마감대한적십자사 울산지사
259,1702020울산지사심리적 응급처치 과정신규1회차 심리적 응급처치 과정 4h2020-08-1982020-09-03100,000마감대한적십자사 울산지사
359,1712020울산지사심리적 응급처치 과정신규2회차 심리적 응급처치 과정 4h2020-09-0192020-09-17100,000마감대한적십자사 울산지사
459,1742020울산지사심리적 응급처치 과정신규3회차 심리적 응급처치 과정 4h2020-10-05102020-10-16100,000마감대한적십자사 울산지사
553,7502020울산지사응급처치 일반과정(2020년)신규2회차 응급처치 일반과정(2020년) 12h (1월 2차 상설)2019-12-12122020-01-0970,000마감대한적십자사 울산지사
653,7532020울산지사심폐소생술(2020년)신규3회차 심폐소생술(2020년) 4h (1월 3차 상설)2019-12-21122020-01-1940,000마감대한적십자사 울산지사
758,1902020울산지사응급처치 일반과정(2020년)신규응급처치 일반과정(2020년) 12h (8월 2차 상설반)2020-07-0272020-08-2770,000마감대한적십자사 울산지사
859,4202020울산지사응급처치 일반과정(2020년)신규응급처치 일반과정(2020년) 12h (10월 1차 상설반)2020-09-0192020-10-0870,000마감대한적십자사 울산지사
959,4542020울산지사응급처치 특강특강8회차 응급처치 특강 1h (북한이주민 대상 찾아가는 안전교육)2020-08-2582020-08-25100,000마감대한적십자사 울산지사
강습번호강습년도기관명강습구분강습구분명강습명강습시작일강습시작월강습종료일강습비강습상태강습장소(명)
190862,7852020충북지사찾아가는 재난안전교실특강찾아가는 재난안전교실 2h (11월 옥산초 3차)2020-12-15122020-12-15100,000마감옥산초등학교 강당
190962,7862020충북지사찾아가는 재난안전교실특강찾아가는 재난안전교실 2h (11월 옥산초 4차)2020-12-15122020-12-15100,000마감옥산초등학교 강당
191062,7632020충북지사찾아가는 재난안전교실특강찾아가는 재난안전교실 2h (11월 옥산초 1차)2020-12-14122020-12-14100,000마감옥산초등학교 강당
191162,7642020충북지사찾아가는 재난안전교실특강찾아가는 재난안전교실 2h (11월 옥산초 2차)2020-12-14122020-12-14100,000마감옥산초등학교 강당
191261,4542020인천지사응급처치 일반과정(2020년)신규1회차 응급처치 일반과정(2020년) 12h ((사)한국숲밧줄놀이연구원)2020-10-26102020-10-2870,000마감(사)한국숲밧줄놀이연구회
191362,3402020대전·세종지사응급처치 특강특강46회차 응급처치 특강 2h (어깨동무지역아동센터)2020-11-24112020-11-24200,000마감어깨동무지역아동센터
191461,3762020대전·세종지사찾아가는 재난안전교실특강30회차 찾아가는 재난안전교실 2h (어깨동무지역아동센터)2020-10-23102020-10-23100,000마감어깨동무지역아동센터
191562,1022020강원지사응급처치 특강특강응급처치 특강 2h (재난안전교실_원주 햇살지역아동센터)2020-11-04112020-11-16100,000마감원주_햇살지역아동센터
191663,5912020강원지사찾아가는 재난안전교실특강찾아가는 재난안전교실 2h (청소년육성회지역아동센터(원주) 찾아가는 재난안전교실)2020-11-01112020-11-18100,000진행중한국청소년육성회 지역아동센터
191762,1082020강원지사응급처치 특강특강응급처치 특강 2h (재난안전교실_(RCY) 원주 한국청소년육성회 지역아동센터)2020-11-12112020-11-18100,000마감한국청소년육성회 지역아동센터

Duplicate rows

Most frequently occurring

강습번호강습년도기관명강습구분강습구분명강습명강습시작일강습시작월강습종료일강습비강습상태강습장소(명)# duplicates
061,7222020전북지사인명구조요원 신규과정(2020)신규7회차 인명구조요원 신규과정(2020) 48h (11.21~12.12 군산국민체육센터)2020-11-03112020-11-20250,000마감남부대학교 시립국제수영장2
161,9472020전북지사인명구조요원 신규과정(2020)신규8회차 인명구조요원 신규과정(2020) 48h (11.21~12.12 덕진수영장)2020-11-09112020-11-20250,000마감남부대학교 시립국제수영장2