Overview

Dataset statistics

Number of variables4
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory36.6 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description중소벤처기업진흥공단의 내일채움공제사업의 중도해지 사유별 현황 정보를 제공하는 데이터로 공제 사유별 중도해지 건수 데이터 제공
URLhttps://www.data.go.kr/data/15040397/fileData.do

Reproduction

Analysis started2023-12-12 04:12:26.526843
Analysis finished2023-12-12 04:12:27.072668
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공제사업구분
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
일반
19 
청년재직자
17 
청년재직자 플러스
 
1

Length

Max length9
Median length2
Mean length3.5675676
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반 19
51.4%
청년재직자 17
45.9%
청년재직자 플러스 1
 
2.7%

Length

2023-12-12T13:12:27.171673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:12:27.361075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 19
50.0%
청년재직자 18
47.4%
플러스 1
 
2.6%

사유
Text

Distinct19
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T13:12:27.657990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length18
Mean length15
Min length4

Characters and Unicode

Total characters555
Distinct characters87
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row중소기업의 폐업 또는 해산
2nd row공제사업과 연계한 부당한 임금조정, 불공정계약파기 등
3rd row권고사직 등 기업사유에 의한 퇴직
4th row경제적 부담(기업)
5th row중소기업이 공제가입이후 대기업으로 분류된때
ValueCountFrequency (%)
퇴직 10
 
7.6%
의한 10
 
7.6%
등 7
 
5.3%
이상 6
 
4.6%
연속 6
 
4.6%
경제적 5
 
3.8%
6개월 4
 
3.1%
부담(핵심인력 3
 
2.3%
때 2
 
1.5%
공제사업과 2
 
1.5%
Other values (41) 76
58.0%
2023-12-12T13:12:28.219595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
16.9%
업 27
 
4.9%
기 24
 
4.3%
한 17
 
3.1%
의 14
 
2.5%
직 14
 
2.5%
이 14
 
2.5%
) 13
 
2.3%
( 13
 
2.3%
사 12
 
2.2%
Other values (77) 313
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
76.4%
Space Separator 94
 
16.9%
Close Punctuation 13
 
2.3%
Open Punctuation 13
 
2.3%
Decimal Number 6
 
1.1%
Other Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 27
 
6.4%
기 24
 
5.7%
한 17
 
4.0%
의 14
 
3.3%
직 14
 
3.3%
이 14
 
3.3%
사 12
 
2.8%
핵 11
 
2.6%
심 11
 
2.6%
인 11
 
2.6%
Other values (71) 269
63.4%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
· 2
40.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Decimal Number
ValueCountFrequency (%)
6 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
76.4%
Common 131
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 27
 
6.4%
기 24
 
5.7%
한 17
 
4.0%
의 14
 
3.3%
직 14
 
3.3%
이 14
 
3.3%
사 12
 
2.8%
핵 11
 
2.6%
심 11
 
2.6%
인 11
 
2.6%
Other values (71) 269
63.4%
Common
ValueCountFrequency (%)
94
71.8%
) 13
 
9.9%
( 13
 
9.9%
6 6
 
4.6%
, 3
 
2.3%
· 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
76.4%
ASCII 129
 
23.2%
None 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
72.9%
) 13
 
10.1%
( 13
 
10.1%
6 6
 
4.7%
, 3
 
2.3%
Hangul
ValueCountFrequency (%)
업 27
 
6.4%
기 24
 
5.7%
한 17
 
4.0%
의 14
 
3.3%
직 14
 
3.3%
이 14
 
3.3%
사 12
 
2.8%
핵 11
 
2.6%
심 11
 
2.6%
인 11
 
2.6%
Other values (71) 269
63.4%
None
ValueCountFrequency (%)
· 2
100.0%

귀책계약자
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
핵심인력
19 
기업
14 
기타
4 

Length

Max length4
Median length4
Mean length3.027027
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
핵심인력 19
51.4%
기업 14
37.8%
기타 4
 
10.8%

Length

2023-12-12T13:12:28.425664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:12:28.588986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
핵심인력 19
51.4%
기업 14
37.8%
기타 4
 
10.8%

건수
Real number (ℝ)

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2516.3514
Minimum1
Maximum24467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T13:12:28.753196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q188
median764
Q33068
95-th percentile9184.4
Maximum24467
Range24466
Interquartile range (IQR)2980

Descriptive statistics

Standard deviation4606.2189
Coefficient of variation (CV)1.830515
Kurtosis14.318768
Mean2516.3514
Median Absolute Deviation (MAD)757
Skewness3.4352516
Sum93105
Variance21217252
MonotonicityNot monotonic
2023-12-12T13:12:28.931373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 2
 
5.4%
847 1
 
2.7%
8671 1
 
2.7%
4890 1
 
2.7%
95 1
 
2.7%
145 1
 
2.7%
2054 1
 
2.7%
1236 1
 
2.7%
24467 1
 
2.7%
2116 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
1 2
5.4%
2 1
2.7%
6 1
2.7%
7 1
2.7%
26 1
2.7%
28 1
2.7%
32 1
2.7%
62 1
2.7%
88 1
2.7%
95 1
2.7%
ValueCountFrequency (%)
24467 1
2.7%
11238 1
2.7%
8671 1
2.7%
8305 1
2.7%
4890 1
2.7%
4860 1
2.7%
4078 1
2.7%
3990 1
2.7%
3874 1
2.7%
3068 1
2.7%

Interactions

2023-12-12T13:12:26.759451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:12:29.070595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공제사업구분사유귀책계약자건수
공제사업구분1.0000.0000.0000.000
사유0.0001.0001.0000.551
귀책계약자0.0001.0001.0000.000
건수0.0000.5510.0001.000
2023-12-12T13:12:29.182189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
귀책계약자공제사업구분
귀책계약자1.0000.000
공제사업구분0.0001.000
2023-12-12T13:12:29.274881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수공제사업구분귀책계약자
건수1.0000.0000.000
공제사업구분0.0001.0000.000
귀책계약자0.0000.0001.000

Missing values

2023-12-12T13:12:26.913199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:12:27.021483image/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

공제사업구분사유귀책계약자건수
0일반중소기업의 폐업 또는 해산기업881
1일반공제사업과 연계한 부당한 임금조정, 불공정계약파기 등기업7
2일반권고사직 등 기업사유에 의한 퇴직기업4078
3일반경제적 부담(기업)기업4860
4일반중소기업이 공제가입이후 대기업으로 분류된때기업28
5일반연속 6개월 이상 미납(기업)기업315
6일반기타(기업)기업1924
7일반창업에 의한 퇴직핵심인력986
8일반이직에 의한 퇴직핵심인력8305
9일반학업에 의한 퇴직핵심인력374
공제사업구분사유귀책계약자건수
27청년재직자이직에 의한 퇴직핵심인력24467
28청년재직자학업에 의한 퇴직핵심인력2116
29청년재직자기타사유에 의한 퇴직핵심인력667
30청년재직자배임·횡령 등 불법행위 해고핵심인력2
31청년재직자경제적 부담(핵심인력)핵심인력3068
32청년재직자연속 6개월 이상 미납(핵심인력)핵심인력62
33청년재직자핵심인력의 사업자등록핵심인력764
34청년재직자기타(핵심인력)핵심인력11238
35청년재직자중소기업과 핵심인력이 함께 공제부금을 연속 6개월분 이상 납입하지 아니한 때기타125
36청년재직자 플러스경제적 부담(핵심인력)핵심인력1