Overview

Dataset statistics

Number of variables5
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory42.9 B

Variable types

Categorical1
Text1
Numeric1
DateTime2

Dataset

Description사립학교교직원연금공단 퇴직교직원지원센터 교육 현황과 관련된 데이터로 분야, 강좌명, 인원, 교육시간, 교육일정 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15045866/fileData.do

Reproduction

Analysis started2023-12-12 10:02:44.531862
Analysis finished2023-12-12 10:02:45.111461
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
재능나눔
27 
생애설계/재능나눔
20 
노후설계 / 재능나눔
14 
상담지원
9 

Length

Max length11
Median length4
Mean length6.8285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재능나눔
2nd row재능나눔
3rd row재능나눔
4th row재능나눔
5th row생애설계/재능나눔

Common Values

ValueCountFrequency (%)
재능나눔 27
38.6%
생애설계/재능나눔 20
28.6%
노후설계 / 재능나눔 14
20.0%
상담지원 9
 
12.9%

Length

2023-12-12T19:02:45.183792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:02:45.305638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재능나눔 41
41.8%
생애설계/재능나눔 20
20.4%
노후설계 14
 
14.3%
14
 
14.3%
상담지원 9
 
9.2%

강좌명
Text

Distinct61
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T19:02:45.672110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length22
Mean length17.014286
Min length6

Characters and Unicode

Total characters1191
Distinct characters253
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)80.0%

Sample

1st row교육재능기부 4차
2nd row교육재능기부 3차
3rd row교육재능기부 2차
4th row교육재능기부 1차
5th row노후자금 운용 및 자아 실현
ValueCountFrequency (%)
14
 
4.8%
100세 9
 
3.1%
시대 6
 
2.1%
자산관리 5
 
1.7%
생애설계 5
 
1.7%
교육재능기부 4
 
1.4%
행복한 4
 
1.4%
생애설계와 4
 
1.4%
진로상담사(2급 3
 
1.0%
포털 3
 
1.0%
Other values (209) 234
80.4%
2023-12-12T19:02:46.422834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
18.6%
0 25
 
2.1%
자 23
 
1.9%
리 21
 
1.8%
세 21
 
1.8%
기 20
 
1.7%
의 17
 
1.4%
사 16
 
1.3%
과 16
 
1.3%
한 15
 
1.3%
Other values (243) 796
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
72.4%
Space Separator 221
 
18.6%
Decimal Number 58
 
4.9%
Other Punctuation 29
 
2.4%
Lowercase Letter 6
 
0.5%
Uppercase Letter 5
 
0.4%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 23
 
2.7%
리 21
 
2.4%
세 21
 
2.4%
기 20
 
2.3%
의 17
 
2.0%
사 16
 
1.9%
과 16
 
1.9%
한 15
 
1.7%
강 14
 
1.6%
생 14
 
1.6%
Other values (213) 685
79.5%
Decimal Number
ValueCountFrequency (%)
0 25
43.1%
1 14
24.1%
2 5
 
8.6%
3 4
 
6.9%
5 3
 
5.2%
6 2
 
3.4%
8 2
 
3.4%
9 2
 
3.4%
4 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
g 1
16.7%
n 1
16.7%
s 1
16.7%
t 1
16.7%
r 1
16.7%
o 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 14
48.3%
, 7
24.1%
! 4
 
13.8%
. 2
 
6.9%
? 2
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
I 1
20.0%
C 1
20.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 859
72.1%
Common 318
 
26.7%
Latin 11
 
0.9%
Han 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 23
 
2.7%
리 21
 
2.4%
세 21
 
2.4%
기 20
 
2.3%
의 17
 
2.0%
사 16
 
1.9%
과 16
 
1.9%
한 15
 
1.7%
강 14
 
1.6%
생 14
 
1.6%
Other values (210) 682
79.4%
Common
ValueCountFrequency (%)
221
69.5%
0 25
 
7.9%
1 14
 
4.4%
/ 14
 
4.4%
, 7
 
2.2%
2 5
 
1.6%
( 4
 
1.3%
! 4
 
1.3%
3 4
 
1.3%
) 4
 
1.3%
Other values (9) 16
 
5.0%
Latin
ValueCountFrequency (%)
g 1
9.1%
n 1
9.1%
s 1
9.1%
t 1
9.1%
r 1
9.1%
o 1
9.1%
K 1
9.1%
O 1
9.1%
I 1
9.1%
C 1
9.1%
Han
ValueCountFrequency (%)
糖 1
33.3%
號 1
33.3%
雅 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 859
72.1%
ASCII 329
 
27.6%
CJK 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
67.2%
0 25
 
7.6%
1 14
 
4.3%
/ 14
 
4.3%
, 7
 
2.1%
2 5
 
1.5%
( 4
 
1.2%
! 4
 
1.2%
3 4
 
1.2%
) 4
 
1.2%
Other values (20) 27
 
8.2%
Hangul
ValueCountFrequency (%)
자 23
 
2.7%
리 21
 
2.4%
세 21
 
2.4%
기 20
 
2.3%
의 17
 
2.0%
사 16
 
1.9%
과 16
 
1.9%
한 15
 
1.7%
강 14
 
1.6%
생 14
 
1.6%
Other values (210) 682
79.4%
CJK
ValueCountFrequency (%)
糖 1
33.3%
號 1
33.3%
雅 1
33.3%

인원수
Real number (ℝ)

Distinct43
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.542857
Minimum11
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T19:02:46.594307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile18
Q146.5
median71.5
Q389
95-th percentile120
Maximum123
Range112
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation32.765166
Coefficient of variation (CV)0.46447178
Kurtosis-0.85800983
Mean70.542857
Median Absolute Deviation (MAD)21.5
Skewness-0.078519146
Sum4938
Variance1073.5561
MonotonicityNot monotonic
2023-12-12T19:02:46.771028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
120 6
 
8.6%
84 4
 
5.7%
89 4
 
5.7%
19 3
 
4.3%
83 2
 
2.9%
48 2
 
2.9%
52 2
 
2.9%
118 2
 
2.9%
122 2
 
2.9%
68 2
 
2.9%
Other values (33) 41
58.6%
ValueCountFrequency (%)
11 1
 
1.4%
12 1
 
1.4%
13 1
 
1.4%
18 2
2.9%
19 3
4.3%
20 1
 
1.4%
26 1
 
1.4%
33 1
 
1.4%
38 1
 
1.4%
39 1
 
1.4%
ValueCountFrequency (%)
123 1
 
1.4%
122 2
 
2.9%
120 6
8.6%
118 2
 
2.9%
111 2
 
2.9%
105 1
 
1.4%
96 1
 
1.4%
90 2
 
2.9%
89 4
5.7%
87 1
 
1.4%

교육시간
Date

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2023-12-12 13:30:00
Maximum2023-12-12 15:00:00
2023-12-12T19:02:46.911310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:02:47.045012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

교육일자
Date

Distinct48
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2018-04-13 00:00:00
Maximum2022-12-07 00:00:00
2023-12-12T19:02:47.267204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:02:47.445403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

Interactions

2023-12-12T19:02:44.850593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:02:47.564187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야강좌명인원수교육시간교육일자
분야1.0001.0000.4990.8730.408
강좌명1.0001.0000.6651.0000.442
인원수0.4990.6651.0000.6610.981
교육시간0.8731.0000.6611.0000.999
교육일자0.4080.4420.9810.9991.000
2023-12-12T19:02:47.682896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원수분야
인원수1.0000.303
분야0.3031.000

Missing values

2023-12-12T19:02:44.974904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:02:45.073511image/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

분야강좌명인원수교육시간교육일자
0재능나눔교육재능기부 4차1314:302022-12-07
1재능나눔교육재능기부 3차1214:302022-11-23
2재능나눔교육재능기부 2차1114:302022-11-09
3재능나눔교육재능기부 1차1814:302022-10-10
4생애설계/재능나눔노후자금 운용 및 자아 실현2014:002021-12-23
5재능나눔125세, 스스로 하는 건강관리 노하우2614:002021-12-17
6재능나눔건강한 자세 만들기1914:002021-12-23
7재능나눔건강한 자세 만들기1914:002021-12-17
8생애설계/재능나눔100세 시대 나의 노후 보금자리는?8413:302019-04-19
9생애설계/재능나눔100세 시대 생애설계와 자산관리11113:302019-03-08
분야강좌명인원수교육시간교육일자
60노후설계 / 재능나눔노인장기요양보험제도 / 발효식품의 자연치유, 면역력 강화7915:002018-06-01
61노후설계 / 재능나눔성 건강 / 한국인의 雅號6015:002018-06-15
62노후설계 / 재능나눔협동조합으로 노후준비하기 / 캘리그라피10515:002018-06-29
63노후설계 / 재능나눔행복한 삶. 행복한 마무리 / 돈과 행복6715:002018-09-07
64노후설계 / 재능나눔자원봉사자와 사회참여 / 백세장수 건강법7115:002018-09-21
65노후설계 / 재능나눔퇴직 이후 다양하게 일하는 방식 / 난 이제 糖-strong6515:002018-10-05
66노후설계 / 재능나눔뇌를 지키면 행복해 진다 / 내가 누리며 자녀에게 남겨줄 값진 유산7715:002018-10-19
67노후설계 / 재능나눔건강보험제도 / 혼자서도 잘 놀 수 있는 장난감7315:002018-11-02
68노후설계 / 재능나눔100세 시대 자산관리, 절약 보다 전략이 필요하다 / 성공 은퇴활동과 전원별장9615:002018-11-16
69노후설계 / 재능나눔협동조합으로 노후준비하기 / (속성) 감성 캘리그라피7015:002018-11-30