Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory1.2 MiB
Average record size in memory125.0 B

Variable types

Numeric4
Categorical5
Text3
DateTime2

Dataset

Description대한적십자사 보건안전교육 정보 입니다. 강습번보, 강습년도, 강습월, 기관명, 사업구분, 과정명, 강습제목, 강습구분, 강습일정, 강습장소, 강습비 정보 입니다.
URLhttps://www.data.go.kr/data/15091573/fileData.do

Alerts

강습연도 has constant value ""Constant
Dataset has 3 (< 0.1%) duplicate rowsDuplicates
강습번호 is highly overall correlated with 강습시작월High correlation
강습시작월 is highly overall correlated with 강습번호High correlation
강습구분1 is highly overall correlated with 강습구분명High correlation
강습구분2 is highly overall correlated with 강습구분명High correlation
강습구분명 is highly overall correlated with 강습구분1 and 1 other fieldsHigh correlation
강습비 has 2086 (20.9%) zerosZeros

Reproduction

Analysis started2023-12-13 00:34:33.003489
Analysis finished2023-12-13 00:34:35.839951
Duration2.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강습번호
Real number (ℝ)

HIGH CORRELATION 

Distinct9673
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77981.142
Minimum69908
Maximum85006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:34:35.891945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69908
5-th percentile72481
Q175063
median78026.5
Q380988.25
95-th percentile83254.05
Maximum85006
Range15098
Interquartile range (IQR)5925.25

Descriptive statistics

Standard deviation3466.8332
Coefficient of variation (CV)0.044457327
Kurtosis-1.1317686
Mean77981.142
Median Absolute Deviation (MAD)2963
Skewness-0.058784223
Sum7.7981142 × 108
Variance12018932
MonotonicityNot monotonic
2023-12-13T09:34:36.001888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73944 3
 
< 0.1%
79019 3
 
< 0.1%
78873 3
 
< 0.1%
77200 3
 
< 0.1%
79038 3
 
< 0.1%
80527 3
 
< 0.1%
73222 3
 
< 0.1%
78502 3
 
< 0.1%
73766 3
 
< 0.1%
72116 3
 
< 0.1%
Other values (9663) 9970
99.7%
ValueCountFrequency (%)
69908 1
< 0.1%
69928 1
< 0.1%
69931 1
< 0.1%
70377 1
< 0.1%
70378 1
< 0.1%
70380 1
< 0.1%
70436 1
< 0.1%
70437 1
< 0.1%
70438 1
< 0.1%
70440 1
< 0.1%
ValueCountFrequency (%)
85006 1
< 0.1%
84916 1
< 0.1%
84915 1
< 0.1%
84912 1
< 0.1%
84885 1
< 0.1%
84883 1
< 0.1%
84872 1
< 0.1%
84871 1
< 0.1%
84870 1
< 0.1%
84869 1
< 0.1%

강습연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2023-12-13T09:34:36.133149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:34:36.216473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

기관명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기지사
1460 
서울지사
996 
충남지사
791 
전북지사
761 
인천지사
672 
Other values (11)
5320 

Length

Max length7
Median length4
Mean length4.3219
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구지사
2nd row울산지사
3rd row경기지사
4th row충남지사
5th row대전·세종지사

Common Values

ValueCountFrequency (%)
경기지사 1460
14.6%
서울지사 996
10.0%
충남지사 791
 
7.9%
전북지사 761
 
7.6%
인천지사 672
 
6.7%
대전·세종지사 644
 
6.4%
울산지사 628
 
6.3%
경북지사 615
 
6.2%
부산지사 612
 
6.1%
강원지사 590
 
5.9%
Other values (6) 2231
22.3%

Length

2023-12-13T09:34:36.294792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기지사 1460
14.6%
서울지사 996
10.0%
충남지사 791
 
7.9%
전북지사 761
 
7.6%
인천지사 672
 
6.7%
대전·세종지사 644
 
6.4%
울산지사 628
 
6.3%
경북지사 615
 
6.2%
부산지사 612
 
6.1%
강원지사 590
 
5.9%
Other values (6) 2231
22.3%

강습구분1
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신규
5552 
특강
3838 
재강습
592 
재평가
 
18

Length

Max length3
Median length2
Mean length2.061
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 5552
55.5%
특강 3838
38.4%
재강습 592
 
5.9%
재평가 18
 
0.2%

Length

2023-12-13T09:34:36.400899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:34:36.473250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 5552
55.5%
특강 3838
38.4%
재강습 592
 
5.9%
재평가 18
 
0.2%

강습구분2
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단체
6450 
일반
3550 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단체
2nd row일반
3rd row일반
4th row단체
5th row단체

Common Values

ValueCountFrequency (%)
단체 6450
64.5%
일반 3550
35.5%

Length

2023-12-13T09:34:36.553203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:34:36.630238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단체 6450
64.5%
일반 3550
35.5%

강습구분명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
응급처치 특강
2651 
교직원 응급처치
1500 
응급처치 일반과정(CPR 및 AED포함)
806 
심폐소생술(CPR)
745 
어린이이용시설종사자 안전교육(응급처치 실습)(2H)
717 
Other values (26)
3581 

Length

Max length35
Median length31
Mean length11.1653
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row응급처치 특강
2nd row생존수영
3rd row응급처치 특강
4th row어린이이용시설종사자 안전교육(응급처치 실습)(2H)
5th row교직원 응급처치

Common Values

ValueCountFrequency (%)
응급처치 특강 2651
26.5%
교직원 응급처치 1500
15.0%
응급처치 일반과정(CPR 및 AED포함) 806
 
8.1%
심폐소생술(CPR) 745
 
7.4%
어린이이용시설종사자 안전교육(응급처치 실습)(2H) 717
 
7.2%
생존수영 703
 
7.0%
인명구조요원 562
 
5.6%
청소년 응급처치 550
 
5.5%
찾아가는 재난안전교실 336
 
3.4%
현장체험학습 안전과정 330
 
3.3%
Other values (21) 1100
11.0%

Length

2023-12-13T09:34:36.738891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
응급처치 5888
27.1%
특강 2799
12.9%
교직원 1500
 
6.9%
및 1102
 
5.1%
일반과정(cpr 865
 
4.0%
aed포함 806
 
3.7%
심폐소생술(cpr 745
 
3.4%
어린이이용시설종사자 717
 
3.3%
안전교육(응급처치 717
 
3.3%
실습)(2h 717
 
3.3%
Other values (38) 5891
27.1%

강습명
Text

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:34:36.902653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length12.3415
Min length5

Characters and Unicode

Total characters123415
Distinct characters95
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row응급처치 특강
2nd row생존수영(2021. 2)
3rd row응급처치 특강
4th row어린이이용시설종사자 실습(2022.03)
5th row교직원 응급처치(3H)
ValueCountFrequency (%)
응급처치 4335
19.6%
특강 2799
12.7%
2 1918
 
8.7%
교직원 1500
 
6.8%
어린이이용시설종사자 915
 
4.1%
2021 874
 
4.0%
일반과정(8h 829
 
3.8%
심폐소생술 745
 
3.4%
실습(2022.03 717
 
3.2%
생존수영(2021 703
 
3.2%
Other values (51) 6750
30.6%
2023-12-13T09:34:37.161061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12085
 
9.8%
2 9641
 
7.8%
응 5099
 
4.1%
처 5099
 
4.1%
치 5099
 
4.1%
급 5099
 
4.1%
( 4985
 
4.0%
) 4985
 
4.0%
0 3769
 
3.1%
강 3614
 
2.9%
Other values (85) 63940
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76685
62.1%
Decimal Number 18421
 
14.9%
Space Separator 12085
 
9.8%
Open Punctuation 4985
 
4.0%
Close Punctuation 4985
 
4.0%
Other Punctuation 3619
 
2.9%
Uppercase Letter 2635
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
응 5099
 
6.6%
처 5099
 
6.6%
치 5099
 
6.6%
급 5099
 
6.6%
강 3614
 
4.7%
특 2799
 
3.6%
생 2276
 
3.0%
교 2257
 
2.9%
소 2084
 
2.7%
원 2062
 
2.7%
Other values (72) 41197
53.7%
Decimal Number
ValueCountFrequency (%)
2 9641
52.3%
0 3769
 
20.5%
1 2069
 
11.2%
3 1807
 
9.8%
8 909
 
4.9%
5 218
 
1.2%
4 8
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 2635
72.8%
, 984
 
27.2%
Space Separator
ValueCountFrequency (%)
12085
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4985
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4985
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 2635
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76685
62.1%
Common 44095
35.7%
Latin 2635
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
응 5099
 
6.6%
처 5099
 
6.6%
치 5099
 
6.6%
급 5099
 
6.6%
강 3614
 
4.7%
특 2799
 
3.6%
생 2276
 
3.0%
교 2257
 
2.9%
소 2084
 
2.7%
원 2062
 
2.7%
Other values (72) 41197
53.7%
Common
ValueCountFrequency (%)
12085
27.4%
2 9641
21.9%
( 4985
11.3%
) 4985
11.3%
0 3769
 
8.5%
. 2635
 
6.0%
1 2069
 
4.7%
3 1807
 
4.1%
, 984
 
2.2%
8 909
 
2.1%
Other values (2) 226
 
0.5%
Latin
ValueCountFrequency (%)
H 2635
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76685
62.1%
ASCII 46730
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12085
25.9%
2 9641
20.6%
( 4985
10.7%
) 4985
10.7%
0 3769
 
8.1%
H 2635
 
5.6%
. 2635
 
5.6%
1 2069
 
4.4%
3 1807
 
3.9%
, 984
 
2.1%
Other values (3) 1135
 
2.4%
Hangul
ValueCountFrequency (%)
응 5099
 
6.6%
처 5099
 
6.6%
치 5099
 
6.6%
급 5099
 
6.6%
강 3614
 
4.7%
특 2799
 
3.6%
생 2276
 
3.0%
교 2257
 
2.9%
소 2084
 
2.7%
원 2062
 
2.7%
Other values (72) 41197
53.7%

강습시작일
Date

Distinct352
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-30 00:00:00
2023-12-13T09:34:37.263789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:37.388993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강습시작월
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0937
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:34:37.495005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median8
Q311
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.776453
Coefficient of variation (CV)0.34303878
Kurtosis-0.76370528
Mean8.0937
Median Absolute Deviation (MAD)2
Skewness-0.35165821
Sum80937
Variance7.7086912
MonotonicityNot monotonic
2023-12-13T09:34:37.574777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11 1577
15.8%
7 1288
12.9%
10 1153
11.5%
6 1150
11.5%
12 1075
10.8%
9 1012
10.1%
5 933
9.3%
8 790
7.9%
4 502
 
5.0%
3 226
 
2.3%
Other values (2) 294
 
2.9%
ValueCountFrequency (%)
1 123
 
1.2%
2 171
 
1.7%
3 226
 
2.3%
4 502
 
5.0%
5 933
9.3%
6 1150
11.5%
7 1288
12.9%
8 790
7.9%
9 1012
10.1%
10 1153
11.5%
ValueCountFrequency (%)
12 1075
10.8%
11 1577
15.8%
10 1153
11.5%
9 1012
10.1%
8 790
7.9%
7 1288
12.9%
6 1150
11.5%
5 933
9.3%
4 502
 
5.0%
3 226
 
2.3%

강습종료일
Date

Distinct353
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T09:34:37.673266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:37.775595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강습비
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84109.342
Minimum0
Maximum2400000
Zeros2086
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:34:37.880075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000
median40000
Q3100000
95-th percentile250000
Maximum2400000
Range2400000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation139328.7
Coefficient of variation (CV)1.6565188
Kurtosis50.109894
Mean84109.342
Median Absolute Deviation (MAD)40000
Skewness5.4066255
Sum8.4109342 × 108
Variance1.9412488 × 1010
MonotonicityNot monotonic
2023-12-13T09:34:37.984714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2086
20.9%
70000 1422
14.2%
200000 889
8.9%
10000 816
 
8.2%
100000 773
 
7.7%
20000 725
 
7.2%
40000 663
 
6.6%
250000 453
 
4.5%
15000 439
 
4.4%
150000 340
 
3.4%
Other values (77) 1394
13.9%
ValueCountFrequency (%)
0 2086
20.9%
1 1
 
< 0.1%
1200 1
 
< 0.1%
1875 1
 
< 0.1%
5000 301
 
3.0%
10000 816
 
8.2%
11112 2
 
< 0.1%
11765 2
 
< 0.1%
12500 2
 
< 0.1%
13334 2
 
< 0.1%
ValueCountFrequency (%)
2400000 3
 
< 0.1%
2000000 1
 
< 0.1%
1650000 1
 
< 0.1%
1500000 2
 
< 0.1%
1400000 6
0.1%
1300000 4
 
< 0.1%
1200000 13
0.1%
1100000 5
 
0.1%
1050000 1
 
< 0.1%
1020000 1
 
< 0.1%

강습장소(명)
Text

Distinct6289
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:34:38.153678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length24.9102
Min length3

Characters and Unicode

Total characters249102
Distinct characters651
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5503 ?
Unique (%)55.0%

Sample

1st row다사장애인자립생활센터 강의장 (20221117~20221117)
2nd row삼정초등학교
3rd row배달의민족 강의장 (20220705~20220705)
4th row천안서북경찰서어린이집 강의장 (20220623~20220623)
5th row대전유평초 강의장 (20221102~20221102)
ValueCountFrequency (%)
강의장 6982
26.5%
대한적십자사 836
 
3.2%
부산지사 205
 
0.8%
20220705~20220705 162
 
0.6%
재난안전센터 161
 
0.6%
대한적십자사인천지사 156
 
0.6%
대전세종지사 121
 
0.5%
전북지사 109
 
0.4%
울산지사 107
 
0.4%
배달의민족 102
 
0.4%
Other values (5149) 17391
66.0%
2023-12-13T09:34:38.444149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 48440
19.4%
0 29756
 
11.9%
16478
 
6.6%
1 14316
 
5.7%
장 7495
 
3.0%
( 7438
 
3.0%
) 7344
 
2.9%
강 7295
 
2.9%
의 7281
 
2.9%
~ 6949
 
2.8%
Other values (641) 96310
38.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112001
45.0%
Other Letter 98137
39.4%
Space Separator 16478
 
6.6%
Open Punctuation 7438
 
3.0%
Close Punctuation 7344
 
2.9%
Math Symbol 6949
 
2.8%
Uppercase Letter 574
 
0.2%
Dash Punctuation 82
 
< 0.1%
Lowercase Letter 41
 
< 0.1%
Other Punctuation 31
 
< 0.1%
Other values (3) 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 7495
 
7.6%
강 7295
 
7.4%
의 7281
 
7.4%
교 3935
 
4.0%
학 3891
 
4.0%
사 3489
 
3.6%
등 2590
 
2.6%
지 2501
 
2.5%
대 2430
 
2.5%
초 2179
 
2.2%
Other values (576) 55051
56.1%
Uppercase Letter
ValueCountFrequency (%)
C 160
27.9%
Y 99
17.2%
R 93
16.2%
S 39
 
6.8%
K 23
 
4.0%
L 18
 
3.1%
A 16
 
2.8%
T 15
 
2.6%
G 13
 
2.3%
B 13
 
2.3%
Other values (14) 85
14.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.6%
r 4
9.8%
i 4
9.8%
s 3
 
7.3%
t 3
 
7.3%
n 3
 
7.3%
a 3
 
7.3%
o 3
 
7.3%
l 2
 
4.9%
h 2
 
4.9%
Other values (6) 8
19.5%
Decimal Number
ValueCountFrequency (%)
2 48440
43.2%
0 29756
26.6%
1 14316
 
12.8%
7 3373
 
3.0%
9 3186
 
2.8%
5 2917
 
2.6%
6 2884
 
2.6%
3 2556
 
2.3%
8 2409
 
2.2%
4 2164
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 11
35.5%
. 11
35.5%
& 4
 
12.9%
! 2
 
6.5%
\ 1
 
3.2%
/ 1
 
3.2%
? 1
 
3.2%
Space Separator
ValueCountFrequency (%)
16478
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7438
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7344
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 150350
60.4%
Hangul 98137
39.4%
Latin 615
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 7495
 
7.6%
강 7295
 
7.4%
의 7281
 
7.4%
교 3935
 
4.0%
학 3891
 
4.0%
사 3489
 
3.6%
등 2590
 
2.6%
지 2501
 
2.5%
대 2430
 
2.5%
초 2179
 
2.2%
Other values (576) 55051
56.1%
Latin
ValueCountFrequency (%)
C 160
26.0%
Y 99
16.1%
R 93
15.1%
S 39
 
6.3%
K 23
 
3.7%
L 18
 
2.9%
A 16
 
2.6%
T 15
 
2.4%
G 13
 
2.1%
B 13
 
2.1%
Other values (30) 126
20.5%
Common
ValueCountFrequency (%)
2 48440
32.2%
0 29756
19.8%
16478
 
11.0%
1 14316
 
9.5%
( 7438
 
4.9%
) 7344
 
4.9%
~ 6949
 
4.6%
7 3373
 
2.2%
9 3186
 
2.1%
5 2917
 
1.9%
Other values (15) 10153
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150965
60.6%
Hangul 98137
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 48440
32.1%
0 29756
19.7%
16478
 
10.9%
1 14316
 
9.5%
( 7438
 
4.9%
) 7344
 
4.9%
~ 6949
 
4.6%
7 3373
 
2.2%
9 3186
 
2.1%
5 2917
 
1.9%
Other values (55) 10768
 
7.1%
Hangul
ValueCountFrequency (%)
장 7495
 
7.6%
강 7295
 
7.4%
의 7281
 
7.4%
교 3935
 
4.0%
학 3891
 
4.0%
사 3489
 
3.6%
등 2590
 
2.6%
지 2501
 
2.5%
대 2430
 
2.5%
초 2179
 
2.2%
Other values (576) 55051
56.1%

정원
Real number (ℝ)

Distinct281
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.1686
Minimum1
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:34:38.555309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q119
median27
Q338
95-th percentile101.05
Maximum900
Range899
Interquartile range (IQR)19

Descriptive statistics

Standard deviation55.184948
Coefficient of variation (CV)1.4089079
Kurtosis50.107059
Mean39.1686
Median Absolute Deviation (MAD)8
Skewness6.1066008
Sum391686
Variance3045.3785
MonotonicityNot monotonic
2023-12-13T09:34:38.654399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1558
 
15.6%
20 841
 
8.4%
25 603
 
6.0%
50 550
 
5.5%
15 540
 
5.4%
10 312
 
3.1%
40 270
 
2.7%
22 221
 
2.2%
19 215
 
2.1%
24 207
 
2.1%
Other values (271) 4683
46.8%
ValueCountFrequency (%)
1 10
 
0.1%
2 11
 
0.1%
3 12
 
0.1%
4 15
 
0.1%
5 29
 
0.3%
6 29
 
0.3%
7 52
 
0.5%
8 71
 
0.7%
9 62
 
0.6%
10 312
3.1%
ValueCountFrequency (%)
900 1
< 0.1%
780 1
< 0.1%
730 1
< 0.1%
720 1
< 0.1%
700 2
< 0.1%
680 1
< 0.1%
660 1
< 0.1%
640 1
< 0.1%
628 1
< 0.1%
600 2
< 0.1%

수료자수
Text

Distinct324
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:34:38.878663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.8932
Min length1

Characters and Unicode

Total characters18932
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

Unique142 ?
Unique (%)1.4%

Sample

1st row25
2nd row225
3rd row25
4th row14
5th row20
ValueCountFrequency (%)
0 814
 
8.1%
20 371
 
3.7%
15 332
 
3.3%
30 320
 
3.2%
10 314
 
3.1%
23 309
 
3.1%
18 307
 
3.1%
21 302
 
3.0%
12 289
 
2.9%
17 288
 
2.9%
Other values (314) 6354
63.5%
2023-12-13T09:34:39.218209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3962
20.9%
2 3749
19.8%
0 2399
12.7%
3 1909
10.1%
4 1447
 
7.6%
5 1425
 
7.5%
8 1061
 
5.6%
6 1057
 
5.6%
7 999
 
5.3%
9 923
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18931
> 99.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3962
20.9%
2 3749
19.8%
0 2399
12.7%
3 1909
10.1%
4 1447
 
7.6%
5 1425
 
7.5%
8 1061
 
5.6%
6 1057
 
5.6%
7 999
 
5.3%
9 923
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18932
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3962
20.9%
2 3749
19.8%
0 2399
12.7%
3 1909
10.1%
4 1447
 
7.6%
5 1425
 
7.5%
8 1061
 
5.6%
6 1057
 
5.6%
7 999
 
5.3%
9 923
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3962
20.9%
2 3749
19.8%
0 2399
12.7%
3 1909
10.1%
4 1447
 
7.6%
5 1425
 
7.5%
8 1061
 
5.6%
6 1057
 
5.6%
7 999
 
5.3%
9 923
 
4.9%

Interactions

2023-12-13T09:34:35.281870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.151497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.464767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.765347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:35.367829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.233325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.547182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.842159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:35.452377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.305875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.619781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.927084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:35.526890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.390769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:34.692435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:34:35.214922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:34:39.298331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습번호기관명강습구분1강습구분2강습구분명강습명강습시작월강습비정원
강습번호1.0000.3080.2890.2430.4910.5840.9230.0800.125
기관명0.3081.0000.2640.3180.6200.7070.1730.2960.261
강습구분10.2890.2641.0000.4400.9071.0000.2020.1920.271
강습구분20.2430.3180.4401.0000.6470.6960.1840.0980.125
강습구분명0.4910.6200.9070.6471.0001.0000.4280.4300.308
강습명0.5840.7071.0000.6961.0001.0000.5150.5720.289
강습시작월0.9230.1730.2020.1840.4280.5151.0000.0620.067
강습비0.0800.2960.1920.0980.4300.5720.0621.0000.528
정원0.1250.2610.2710.1250.3080.2890.0670.5281.000
2023-12-13T09:34:39.387194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습구분1기관명강습구분2강습구분명
강습구분11.0000.1270.2960.724
기관명0.1271.0000.2500.223
강습구분20.2960.2501.0000.558
강습구분명0.7240.2230.5581.000
2023-12-13T09:34:39.460901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강습번호강습시작월강습비정원기관명강습구분1강습구분2강습구분명
강습번호1.0000.8930.0140.1240.1260.1760.1870.195
강습시작월0.8931.0000.0430.1400.0690.1220.1410.164
강습비0.0140.0431.0000.0290.1260.1240.0980.175
정원0.1240.1400.0291.0000.1050.1650.0960.113
기관명0.1260.0690.1260.1051.0000.1270.2500.223
강습구분10.1760.1220.1240.1650.1271.0000.2960.724
강습구분20.1870.1410.0980.0960.2500.2961.0000.558
강습구분명0.1950.1640.1750.1130.2230.7240.5581.000

Missing values

2023-12-13T09:34:35.627497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:34:35.769618image/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

강습번호강습연도기관명강습구분1강습구분2강습구분명강습명강습시작일강습시작월강습종료일강습비강습장소(명)정원수료자수
8475815172022대구지사특강단체응급처치 특강응급처치 특강2022-11-17112022-11-17200000다사장애인자립생활센터 강의장 (20221117~20221117)2525
2366755732022울산지사특강일반생존수영생존수영(2021. 2)2022-06-1362022-06-130삼정초등학교220225
5925791212022경기지사특강일반응급처치 특강응급처치 특강2022-09-2192022-09-21150000배달의민족 강의장 (20220705~20220705)3025
2801741802022충남지사신규단체어린이이용시설종사자 안전교육(응급처치 실습)(2H)어린이이용시설종사자 실습(2022.03)2022-06-2362022-06-2320000천안서북경찰서어린이집 강의장 (20220623~20220623)1414
7687817392022대전·세종지사신규단체교직원 응급처치교직원 응급처치(3H)2022-11-02112022-11-0215000대전유평초 강의장 (20221102~20221102)2020
10180817842022경기지사신규일반심폐소생술(CPR)심폐소생술2022-12-19122022-12-1940000북부봉사관157
1838739842022경남지사특강단체응급처치 특강응급처치 특강2022-05-2652022-05-260용지초등학교 강의장 (20220526~20220526)6364
10170830712022서울지사신규단체청소년 응급처치청소년 응급처치2022-12-19122022-12-195000엠프렙 강의장 (20221219~20221219)156
277716972022제주지사신규일반심폐소생술(CPR)(블렌디드러닝)심폐소생술(블렌디드러닝)2022-02-2622022-02-2640000제주적십자사 나눔홀1010
1789743742022충북지사신규일반어린이이용시설종사자 안전교육(응급처치 실습)(2H)어린이이용시설종사자 실습(2022.03)2022-05-2552022-05-2515000대한적십자사 충북지사1010
강습번호강습연도기관명강습구분1강습구분2강습구분명강습명강습시작일강습시작월강습종료일강습비강습장소(명)정원수료자수
1544737422022충남지사신규단체심폐소생술(CPR)심폐소생술2022-05-1952022-05-1940000세한대학교 항공서비스학과 강의장 (20220519~20220519)1515
1646725982022인천지사신규일반교직원 응급처치교직원 심폐소생술(3H)2022-05-2152022-05-2120000대한적십자사인천지사3634
7709807592022경북지사특강단체응급처치 특강응급처치 특강2022-11-02112022-11-021300000예천여자중학교 강의장 (20221102~20221102)140140
8971803072022울산지사특강일반생존수영생존수영(2021. 2)2022-11-25112022-11-250동천초등학교340386
330720002022경기지사재강습단체응급처치강사응급처치 강사 재강습(8H, 2021. 2)2022-03-0832022-03-0870000경기지사2518
4005773802022전북지사특강단체응급처치 특강응급처치 특강2022-07-1572022-07-15400000한국앤컴퍼니(주) 강의장 (20220715~20220715)6060
6094788732022충북지사신규일반생존수영강사생존수영강사 신규과정2022-09-1792022-09-24160000청주실내수영장1917
8835825412022대전·세종지사특강일반찾아가는 재난안전교실찾아가는 재난안전교실2022-11-23112022-11-230대전성천초등학교 강의장 (20200923~20200923)300
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