Overview

Dataset statistics

Number of variables9
Number of observations227
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory75.6 B

Variable types

Categorical6
Numeric2
Text1

Dataset

Description중소벤처기업진흥공단의 정책자금으로 3개 이상의 중소기업이 규합하여 공동 시설물을 건축하거나, 공동 연구개발을 하는 용도의 자금입니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15124789/fileData.do

Alerts

지원연도 has constant value ""Constant
자금명 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:47:53.795508
Analysis finished2023-12-12 23:47:54.669278
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지원연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2022
227 

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 227
100.0%

Length

2023-12-13T08:47:54.719393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:47:54.798972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 227
100.0%

순번
Real number (ℝ)

UNIQUE 

Distinct227
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114
Minimum1
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T08:47:54.888493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.3
Q157.5
median114
Q3170.5
95-th percentile215.7
Maximum227
Range226
Interquartile range (IQR)113

Descriptive statistics

Standard deviation65.673435
Coefficient of variation (CV)0.57608276
Kurtosis-1.2
Mean114
Median Absolute Deviation (MAD)57
Skewness0
Sum25878
Variance4313
MonotonicityStrictly increasing
2023-12-13T08:47:55.348503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
144 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
Other values (217) 217
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%

자금명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
협동화자금
227 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
협동화자금 227
100.0%

Length

2023-12-13T08:47:55.479170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:47:55.561423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
협동화자금 227
100.0%

산업품목코드명
Text

Distinct115
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T08:47:55.818987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length15.660793
Min length3

Characters and Unicode

Total characters3555
Distinct characters220
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

Unique67 ?
Unique (%)29.5%

Sample

1st row기계 및 장비 중개업
2nd row기계 및 장비 중개업
3rd row기계 및 장비 중개업
4th row기계 및 장비 중개업
5th row기계 및 장비 중개업
ValueCountFrequency (%)
제조업 151
 
14.2%
및 120
 
11.3%
기타 73
 
6.8%
외 28
 
2.6%
그 28
 
2.6%
도매업 18
 
1.7%
금속 15
 
1.4%
가공 15
 
1.4%
기계 14
 
1.3%
신품 13
 
1.2%
Other values (242) 591
55.4%
2023-12-13T08:47:56.330171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
839
23.6%
업 231
 
6.5%
제 204
 
5.7%
조 191
 
5.4%
기 147
 
4.1%
및 120
 
3.4%
품 78
 
2.2%
타 74
 
2.1%
용 68
 
1.9%
장 54
 
1.5%
Other values (210) 1549
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2679
75.4%
Space Separator 839
 
23.6%
Other Punctuation 26
 
0.7%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 231
 
8.6%
제 204
 
7.6%
조 191
 
7.1%
기 147
 
5.5%
및 120
 
4.5%
품 78
 
2.9%
타 74
 
2.8%
용 68
 
2.5%
장 54
 
2.0%
자 44
 
1.6%
Other values (205) 1468
54.8%
Space Separator
ValueCountFrequency (%)
839
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2679
75.4%
Common 876
 
24.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 231
 
8.6%
제 204
 
7.6%
조 191
 
7.1%
기 147
 
5.5%
및 120
 
4.5%
품 78
 
2.9%
타 74
 
2.8%
용 68
 
2.5%
장 54
 
2.0%
자 44
 
1.6%
Other values (205) 1468
54.8%
Common
ValueCountFrequency (%)
839
95.8%
, 26
 
3.0%
( 4
 
0.5%
) 4
 
0.5%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2668
75.0%
ASCII 876
 
24.6%
Compat Jamo 11
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
839
95.8%
, 26
 
3.0%
( 4
 
0.5%
) 4
 
0.5%
1 3
 
0.3%
Hangul
ValueCountFrequency (%)
업 231
 
8.7%
제 204
 
7.6%
조 191
 
7.2%
기 147
 
5.5%
및 120
 
4.5%
품 78
 
2.9%
타 74
 
2.8%
용 68
 
2.5%
장 54
 
2.0%
자 44
 
1.6%
Other values (204) 1457
54.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 11
100.0%

업종
Categorical

Distinct11
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
기계
45 
유통
30 
전자
30 
금속
29 
식료
23 
Other values (6)
70 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기계 45
19.8%
유통 30
13.2%
전자 30
13.2%
금속 29
12.8%
식료 23
10.1%
화공 20
8.8%
잡화 16
 
7.0%
섬유 15
 
6.6%
기타 10
 
4.4%
전기 7
 
3.1%

Length

2023-12-13T08:47:56.492162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기계 45
19.8%
유통 30
13.2%
전자 30
13.2%
금속 29
12.8%
식료 23
10.1%
화공 20
8.8%
잡화 16
 
7.0%
섬유 15
 
6.6%
기타 10
 
4.4%
전기 7
 
3.1%

업력
Categorical

Distinct8
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
15년미만
43 
20년이상
42 
10년미만
35 
20년미만
35 
5년미만
24 
Other values (3)
48 

Length

Max length5
Median length5
Mean length4.6828194
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20년이상
2nd row20년이상
3rd row20년이상
4th row20년이상
5th row20년이상

Common Values

ValueCountFrequency (%)
15년미만 43
18.9%
20년이상 42
18.5%
10년미만 35
15.4%
20년미만 35
15.4%
5년미만 24
10.6%
3년미만 23
10.1%
7년미만 21
9.3%
1년미만 4
 
1.8%

Length

2023-12-13T08:47:56.620249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:47:56.745663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15년미만 43
18.9%
20년이상 42
18.5%
10년미만 35
15.4%
20년미만 35
15.4%
5년미만 24
10.6%
3년미만 23
10.1%
7년미만 21
9.3%
1년미만 4
 
1.8%

지역
Categorical

Distinct15
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
경기
54 
강원
26 
서울
24 
경남
20 
경북
14 
Other values (10)
89 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 54
23.8%
강원 26
11.5%
서울 24
10.6%
경남 20
 
8.8%
경북 14
 
6.2%
전남 13
 
5.7%
부산 13
 
5.7%
충남 12
 
5.3%
충북 10
 
4.4%
대구 10
 
4.4%
Other values (5) 31
13.7%

Length

2023-12-13T08:47:56.884827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 54
23.8%
강원 26
11.5%
서울 24
10.6%
경남 20
 
8.8%
경북 14
 
6.2%
전남 13
 
5.7%
부산 13
 
5.7%
충남 12
 
5.3%
충북 10
 
4.4%
대구 10
 
4.4%
Other values (5) 31
13.7%

대여금액_백만원
Real number (ℝ)

Distinct55
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.52863
Minimum5
Maximum3200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-13T08:47:56.988700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile100
Q1200
median300
Q3500
95-th percentile1300
Maximum3200
Range3195
Interquartile range (IQR)300

Descriptive statistics

Standard deviation422.73696
Coefficient of variation (CV)0.95961289
Kurtosis12.30616
Mean440.52863
Median Absolute Deviation (MAD)100
Skewness3.0460551
Sum100000
Variance178706.53
MonotonicityNot monotonic
2023-12-13T08:47:57.126613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 53
23.3%
200 32
14.1%
500 23
 
10.1%
100 19
 
8.4%
400 17
 
7.5%
600 6
 
2.6%
700 5
 
2.2%
50 5
 
2.2%
150 5
 
2.2%
1000 4
 
1.8%
Other values (45) 58
25.6%
ValueCountFrequency (%)
5 1
 
0.4%
18 1
 
0.4%
50 5
 
2.2%
81 1
 
0.4%
100 19
8.4%
150 5
 
2.2%
154 1
 
0.4%
173 1
 
0.4%
200 32
14.1%
201 2
 
0.9%
ValueCountFrequency (%)
3200 1
 
0.4%
2400 1
 
0.4%
2143 1
 
0.4%
2138 1
 
0.4%
2000 1
 
0.4%
1926 1
 
0.4%
1500 2
0.9%
1400 2
0.9%
1300 3
1.3%
1150 1
 
0.4%

매출규모
Categorical

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
50억미만
77 
300억미만
53 
100억미만
31 
300억이상
24 
5억미만
23 

Length

Max length6
Median length5
Mean length5.3744493
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300억미만
2nd row300억미만
3rd row300억미만
4th row300억미만
5th row300억미만

Common Values

ValueCountFrequency (%)
50억미만 77
33.9%
300억미만 53
23.3%
100억미만 31
13.7%
300억이상 24
 
10.6%
5억미만 23
 
10.1%
10억미만 19
 
8.4%

Length

2023-12-13T08:47:57.285753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:47:57.397438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50억미만 77
33.9%
300억미만 53
23.3%
100억미만 31
13.7%
300억이상 24
 
10.6%
5억미만 23
 
10.1%
10억미만 19
 
8.4%

Interactions

2023-12-13T08:47:54.340597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:47:54.186410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:47:54.412668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:47:54.261328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:47:57.481077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종업력지역대여금액_백만원매출규모
순번1.0000.5060.2210.7510.3410.312
업종0.5061.0000.4370.5510.0000.412
업력0.2210.4371.0000.3450.2840.463
지역0.7510.5510.3451.0000.5570.386
대여금액_백만원0.3410.0000.2840.5571.0000.328
매출규모0.3120.4120.4630.3860.3281.000
2023-12-13T08:47:57.572957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역업력매출규모업종
지역1.0000.1520.1860.245
업력0.1521.0000.2770.221
매출규모0.1860.2771.0000.222
업종0.2450.2210.2221.000
2023-12-13T08:47:57.662844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대여금액_백만원업종업력지역매출규모
순번1.000-0.2810.2440.1140.3900.166
대여금액_백만원-0.2811.0000.0000.0970.2720.188
업종0.2440.0001.0000.2210.2450.222
업력0.1140.0970.2211.0000.1520.277
지역0.3900.2720.2450.1521.0000.186
매출규모0.1660.1880.2220.2770.1861.000

Missing values

2023-12-13T08:47:54.513758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:47:54.627288image/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

지원연도순번자금명산업품목코드명업종업력지역대여금액_백만원매출규모
020221협동화자금기계 및 장비 중개업유통20년이상경기821300억미만
120222협동화자금기계 및 장비 중개업유통20년이상경기743300억미만
220223협동화자금기계 및 장비 중개업유통20년이상경기492300억미만
320224협동화자금기계 및 장비 중개업유통20년이상경기670300억미만
420225협동화자금기계 및 장비 중개업유통20년이상경기816300억미만
520226협동화자금기계 및 장비 중개업유통20년이상경기1926300억미만
620227협동화자금비메모리용 및 기타 전자집적회로 제조업전자10년미만경기336300억미만
720228협동화자금비메모리용 및 기타 전자집적회로 제조업전자10년미만경기304300억미만
820229협동화자금비메모리용 및 기타 전자집적회로 제조업전자10년미만경기201300억미만
9202210협동화자금비메모리용 및 기타 전자집적회로 제조업전자10년미만경기274300억미만
지원연도순번자금명산업품목코드명업종업력지역대여금액_백만원매출규모
2172022218협동화자금배전반 및 전기 자동제어반 제조업기계5년미만광주20010억미만
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