Overview

Dataset statistics

Number of variables21
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.2 KiB
Average record size in memory182.8 B

Variable types

Numeric13
Categorical8

Dataset

Description중소벤처기업진흥공단 정책자금(창업기업자금(일반) 지원기업 중 저작권 보유 기업 현황입니다. * 본 데이터는 한국저작권위원회 저작권 보유 현황과 중소벤처기업진흥공단 정책자금(창업기업자금(일반) 지원 현황을 융복합하여 만든데이터입니다.
URLhttps://www.data.go.kr/data/15121877/fileData.do

Alerts

사업1 has constant value ""Constant
사업2 has constant value ""Constant
등록부분(데이터베이스) is highly imbalanced (94.9%)Imbalance
일련번호 has unique valuesUnique
등록부분(컴퓨터프로그램) has 52 (29.7%) zerosZeros
등록부분(일반저작물) has 106 (60.6%) zerosZeros
신청금액(시설_백만원) has 159 (90.9%) zerosZeros
신청금액(운전_백만원) has 16 (9.1%) zerosZeros
추천금액(시설_백만원) has 159 (90.9%) zerosZeros
추천금액(운전_백만원) has 16 (9.1%) zerosZeros
대여금액(시설_백만원) has 159 (90.9%) zerosZeros
대여금액(운전_백만원) has 16 (9.1%) zerosZeros

Reproduction

Analysis started2023-12-12 12:25:57.638499
Analysis finished2023-12-12 12:25:57.881746
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88
Minimum1
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:57.970040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q144.5
median88
Q3131.5
95-th percentile166.3
Maximum175
Range174
Interquartile range (IQR)87

Descriptive statistics

Standard deviation50.662281
Coefficient of variation (CV)0.57570773
Kurtosis-1.2
Mean88
Median Absolute Deviation (MAD)44
Skewness0
Sum15400
Variance2566.6667
MonotonicityStrictly increasing
2023-12-12T21:25:58.191807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%

저작권등록건수
Real number (ℝ)

Distinct20
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3942857
Minimum1
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:58.399821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile14.3
Maximum125
Range124
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.431439
Coefficient of variation (CV)2.3738644
Kurtosis103.99728
Mean4.3942857
Median Absolute Deviation (MAD)1
Skewness9.3013625
Sum769
Variance108.81491
MonotonicityNot monotonic
2023-12-12T21:25:58.583303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 75
42.9%
2 29
 
16.6%
3 19
 
10.9%
4 13
 
7.4%
5 10
 
5.7%
7 9
 
5.1%
14 3
 
1.7%
15 2
 
1.1%
6 2
 
1.1%
8 2
 
1.1%
Other values (10) 11
 
6.3%
ValueCountFrequency (%)
1 75
42.9%
2 29
 
16.6%
3 19
 
10.9%
4 13
 
7.4%
5 10
 
5.7%
6 2
 
1.1%
7 9
 
5.1%
8 2
 
1.1%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
125 1
 
0.6%
33 1
 
0.6%
29 1
 
0.6%
27 1
 
0.6%
21 1
 
0.6%
18 1
 
0.6%
16 1
 
0.6%
15 2
1.1%
14 3
1.7%
12 2
1.1%

등록부분(컴퓨터프로그램)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2457143
Minimum0
Maximum27
Zeros52
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:58.736269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7.3
Maximum27
Range27
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.7435264
Coefficient of variation (CV)1.6669647
Kurtosis16.000066
Mean2.2457143
Median Absolute Deviation (MAD)1
Skewness3.5732337
Sum393
Variance14.01399
MonotonicityNot monotonic
2023-12-12T21:25:58.897404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 61
34.9%
0 52
29.7%
2 20
 
11.4%
4 9
 
5.1%
3 9
 
5.1%
5 6
 
3.4%
7 6
 
3.4%
14 3
 
1.7%
6 3
 
1.7%
16 1
 
0.6%
Other values (5) 5
 
2.9%
ValueCountFrequency (%)
0 52
29.7%
1 61
34.9%
2 20
 
11.4%
3 9
 
5.1%
4 9
 
5.1%
5 6
 
3.4%
6 3
 
1.7%
7 6
 
3.4%
8 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
27 1
 
0.6%
21 1
 
0.6%
16 1
 
0.6%
15 1
 
0.6%
14 3
1.7%
10 1
 
0.6%
8 1
 
0.6%
7 6
3.4%
6 3
1.7%
5 6
3.4%

등록부분(데이터베이스)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
174 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 174
99.4%
1 1
 
0.6%

Length

2023-12-12T21:25:59.070684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:59.196729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 174
99.4%
1 1
 
0.6%

등록부분(일반저작물)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1428571
Minimum0
Maximum125
Zeros106
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:25:59.332102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7.6
Maximum125
Range125
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.015915
Coefficient of variation (CV)4.6740937
Kurtosis132.17856
Mean2.1428571
Median Absolute Deviation (MAD)0
Skewness10.941849
Sum375
Variance100.31856
MonotonicityNot monotonic
2023-12-12T21:25:59.503204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 106
60.6%
1 31
 
17.7%
2 9
 
5.1%
3 9
 
5.1%
5 4
 
2.3%
4 4
 
2.3%
6 2
 
1.1%
9 2
 
1.1%
10 1
 
0.6%
17 1
 
0.6%
Other values (6) 6
 
3.4%
ValueCountFrequency (%)
0 106
60.6%
1 31
 
17.7%
2 9
 
5.1%
3 9
 
5.1%
4 4
 
2.3%
5 4
 
2.3%
6 2
 
1.1%
7 1
 
0.6%
9 2
 
1.1%
10 1
 
0.6%
ValueCountFrequency (%)
125 1
0.6%
32 1
0.6%
19 1
0.6%
17 1
0.6%
12 1
0.6%
11 1
0.6%
10 1
0.6%
9 2
1.1%
7 1
0.6%
6 2
1.1%

사업1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
창업기반지원(일반)
175 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창업기반지원(일반)
2nd row창업기반지원(일반)
3rd row창업기반지원(일반)
4th row창업기반지원(일반)
5th row창업기반지원(일반)

Common Values

ValueCountFrequency (%)
창업기반지원(일반) 175
100.0%

Length

2023-12-12T21:25:59.695209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:59.835805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창업기반지원(일반 175
100.0%

사업2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
혁신창업사업화
175 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
혁신창업사업화 175
100.0%

Length

2023-12-12T21:25:59.980401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:00.131409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혁신창업사업화 175
100.0%

자산규모
Categorical

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
10억미만
93 
30억미만
37 
<NA>
33 
70억미만
 
9
200억이상
 
1
Other values (2)
 
2

Length

Max length6
Median length5
Mean length4.8285714
Min length4

Unique

Unique3 ?
Unique (%)1.7%

Sample

1st row10억미만
2nd row30억미만
3rd row30억미만
4th row10억미만
5th row10억미만

Common Values

ValueCountFrequency (%)
10억미만 93
53.1%
30억미만 37
 
21.1%
<NA> 33
 
18.9%
70억미만 9
 
5.1%
200억이상 1
 
0.6%
100억미만 1
 
0.6%
200억미만 1
 
0.6%

Length

2023-12-12T21:26:00.296468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:00.838881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10억미만 93
53.1%
30억미만 37
 
21.1%
na 33
 
18.9%
70억미만 9
 
5.1%
200억이상 1
 
0.6%
100억미만 1
 
0.6%
200억미만 1
 
0.6%

매출규모
Categorical

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
5억미만
62 
50억미만
48 
<NA>
33 
10억미만
24 
100억미만
 
4

Length

Max length6
Median length4
Mean length4.5028571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50억미만
2nd row10억미만
3rd row50억미만
4th row10억미만
5th row50억미만

Common Values

ValueCountFrequency (%)
5억미만 62
35.4%
50억미만 48
27.4%
<NA> 33
18.9%
10억미만 24
 
13.7%
100억미만 4
 
2.3%
300억미만 4
 
2.3%

Length

2023-12-12T21:26:01.056277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:01.241410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5억미만 62
35.4%
50억미만 48
27.4%
na 33
18.9%
10억미만 24
 
13.7%
100억미만 4
 
2.3%
300억미만 4
 
2.3%

업력구분(중진공)
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3년미만
71 
5년미만
44 
7년미만
39 
1년미만
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7년미만
2nd row7년미만
3rd row7년미만
4th row3년미만
5th row7년미만

Common Values

ValueCountFrequency (%)
3년미만 71
40.6%
5년미만 44
25.1%
7년미만 39
22.3%
1년미만 21
 
12.0%

Length

2023-12-12T21:26:01.408850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:01.544330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3년미만 71
40.6%
5년미만 44
25.1%
7년미만 39
22.3%
1년미만 21
 
12.0%

지역구분(중진공)
Categorical

Distinct15
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
서울
62 
경기
41 
인천
11 
부산
9 
충남
8 
Other values (10)
44 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row서울
2nd row인천
3rd row경기
4th row서울
5th row전남

Common Values

ValueCountFrequency (%)
서울 62
35.4%
경기 41
23.4%
인천 11
 
6.3%
부산 9
 
5.1%
충남 8
 
4.6%
강원 8
 
4.6%
전남 7
 
4.0%
경북 7
 
4.0%
대전 6
 
3.4%
경남 5
 
2.9%
Other values (5) 11
 
6.3%

Length

2023-12-12T21:26:01.706912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 62
35.4%
경기 41
23.4%
인천 11
 
6.3%
부산 9
 
5.1%
충남 8
 
4.6%
강원 8
 
4.6%
전남 7
 
4.0%
경북 7
 
4.0%
대전 6
 
3.4%
경남 5
 
2.9%
Other values (5) 11
 
6.3%

신청금액(시설_백만원)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.291429
Minimum0
Maximum2000
Zeros159
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:01.854146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile676.4
Maximum2000
Range2000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation292.96905
Coefficient of variation (CV)3.9435108
Kurtosis24.405032
Mean74.291429
Median Absolute Deviation (MAD)0
Skewness4.7447575
Sum13001
Variance85830.863
MonotonicityNot monotonic
2023-12-12T21:26:02.010897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 159
90.9%
2000 2
 
1.1%
980 2
 
1.1%
738 1
 
0.6%
1100 1
 
0.6%
1400 1
 
0.6%
500 1
 
0.6%
300 1
 
0.6%
833 1
 
0.6%
150 1
 
0.6%
Other values (5) 5
 
2.9%
ValueCountFrequency (%)
0 159
90.9%
70 1
 
0.6%
150 1
 
0.6%
160 1
 
0.6%
300 1
 
0.6%
340 1
 
0.6%
500 1
 
0.6%
650 1
 
0.6%
738 1
 
0.6%
800 1
 
0.6%
ValueCountFrequency (%)
2000 2
1.1%
1400 1
0.6%
1100 1
0.6%
980 2
1.1%
833 1
0.6%
800 1
0.6%
738 1
0.6%
650 1
0.6%
500 1
0.6%
340 1
0.6%

신청금액(운전_백만원)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.22857
Minimum0
Maximum500
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:02.198890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100
median100
Q3225
95-th percentile500
Maximum500
Range500
Interquartile range (IQR)125

Descriptive statistics

Standard deviation144.03605
Coefficient of variation (CV)0.78183341
Kurtosis0.1899121
Mean184.22857
Median Absolute Deviation (MAD)100
Skewness1.034244
Sum32240
Variance20746.384
MonotonicityNot monotonic
2023-12-12T21:26:02.338785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
100 63
36.0%
200 33
18.9%
500 20
 
11.4%
300 19
 
10.9%
0 16
 
9.1%
150 7
 
4.0%
50 7
 
4.0%
400 3
 
1.7%
80 2
 
1.1%
350 1
 
0.6%
Other values (4) 4
 
2.3%
ValueCountFrequency (%)
0 16
 
9.1%
10 1
 
0.6%
50 7
 
4.0%
80 2
 
1.1%
100 63
36.0%
130 1
 
0.6%
140 1
 
0.6%
150 7
 
4.0%
200 33
18.9%
250 1
 
0.6%
ValueCountFrequency (%)
500 20
 
11.4%
400 3
 
1.7%
350 1
 
0.6%
300 19
 
10.9%
250 1
 
0.6%
200 33
18.9%
150 7
 
4.0%
140 1
 
0.6%
130 1
 
0.6%
100 63
36.0%

신청금액(합계_백만원)
Real number (ℝ)

Distinct24
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.52
Minimum10
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:02.475160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile77
Q1100
median200
Q3300
95-th percentile676.4
Maximum2000
Range1990
Interquartile range (IQR)200

Descriptive statistics

Standard deviation281.15249
Coefficient of variation (CV)1.0875464
Kurtosis17.457006
Mean258.52
Median Absolute Deviation (MAD)100
Skewness3.6238556
Sum45241
Variance79046.722
MonotonicityNot monotonic
2023-12-12T21:26:02.616300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100 63
36.0%
200 33
18.9%
500 21
 
12.0%
300 20
 
11.4%
150 8
 
4.6%
50 7
 
4.0%
400 3
 
1.7%
980 2
 
1.1%
2000 2
 
1.1%
80 2
 
1.1%
Other values (14) 14
 
8.0%
ValueCountFrequency (%)
10 1
 
0.6%
50 7
 
4.0%
70 1
 
0.6%
80 2
 
1.1%
100 63
36.0%
130 1
 
0.6%
140 1
 
0.6%
150 8
 
4.6%
160 1
 
0.6%
200 33
18.9%
ValueCountFrequency (%)
2000 2
 
1.1%
1400 1
 
0.6%
1100 1
 
0.6%
980 2
 
1.1%
833 1
 
0.6%
800 1
 
0.6%
738 1
 
0.6%
650 1
 
0.6%
500 21
12.0%
400 3
 
1.7%

추천금액(시설_백만원)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.822857
Minimum0
Maximum1850
Zeros159
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:02.751712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile606.4
Maximum1850
Range1850
Interquartile range (IQR)0

Descriptive statistics

Standard deviation273.07129
Coefficient of variation (CV)3.9109154
Kurtosis23.35421
Mean69.822857
Median Absolute Deviation (MAD)0
Skewness4.6638028
Sum12219
Variance74567.928
MonotonicityNot monotonic
2023-12-12T21:26:02.950893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 159
90.9%
920 2
 
1.1%
738 1
 
0.6%
340 1
 
0.6%
1800 1
 
0.6%
160 1
 
0.6%
1850 1
 
0.6%
70 1
 
0.6%
550 1
 
0.6%
750 1
 
0.6%
Other values (6) 6
 
3.4%
ValueCountFrequency (%)
0 159
90.9%
70 1
 
0.6%
150 1
 
0.6%
160 1
 
0.6%
300 1
 
0.6%
340 1
 
0.6%
500 1
 
0.6%
550 1
 
0.6%
738 1
 
0.6%
750 1
 
0.6%
ValueCountFrequency (%)
1850 1
0.6%
1800 1
0.6%
1400 1
0.6%
1000 1
0.6%
920 2
1.1%
771 1
0.6%
750 1
0.6%
738 1
0.6%
550 1
0.6%
500 1
0.6%

추천금액(운전_백만원)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.57143
Minimum0
Maximum500
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:03.090947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median100
Q3150
95-th percentile200
Maximum500
Range500
Interquartile range (IQR)100

Descriptive statistics

Standard deviation80.227509
Coefficient of variation (CV)0.71268092
Kurtosis5.085227
Mean112.57143
Median Absolute Deviation (MAD)50
Skewness1.579387
Sum19700
Variance6436.4532
MonotonicityNot monotonic
2023-12-12T21:26:03.236684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
100 62
35.4%
50 33
18.9%
200 31
17.7%
0 16
 
9.1%
150 14
 
8.0%
80 7
 
4.0%
300 5
 
2.9%
500 2
 
1.1%
250 1
 
0.6%
70 1
 
0.6%
Other values (3) 3
 
1.7%
ValueCountFrequency (%)
0 16
 
9.1%
10 1
 
0.6%
30 1
 
0.6%
50 33
18.9%
70 1
 
0.6%
80 7
 
4.0%
100 62
35.4%
130 1
 
0.6%
150 14
 
8.0%
200 31
17.7%
ValueCountFrequency (%)
500 2
 
1.1%
300 5
 
2.9%
250 1
 
0.6%
200 31
17.7%
150 14
 
8.0%
130 1
 
0.6%
100 62
35.4%
80 7
 
4.0%
70 1
 
0.6%
50 33
18.9%

추천금액(합계_백만원)
Real number (ℝ)

Distinct23
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.39429
Minimum10
Maximum1850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:03.384728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile50
Q190
median100
Q3200
95-th percentile606.4
Maximum1850
Range1840
Interquartile range (IQR)110

Descriptive statistics

Standard deviation255.331
Coefficient of variation (CV)1.3998849
Kurtosis22.424171
Mean182.39429
Median Absolute Deviation (MAD)50
Skewness4.4046307
Sum31919
Variance65193.918
MonotonicityNot monotonic
2023-12-12T21:26:03.552446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
100 62
35.4%
50 33
18.9%
200 31
17.7%
150 15
 
8.6%
80 7
 
4.0%
300 6
 
3.4%
500 3
 
1.7%
920 2
 
1.1%
70 2
 
1.1%
738 1
 
0.6%
Other values (13) 13
 
7.4%
ValueCountFrequency (%)
10 1
 
0.6%
30 1
 
0.6%
50 33
18.9%
70 2
 
1.1%
80 7
 
4.0%
100 62
35.4%
130 1
 
0.6%
150 15
 
8.6%
160 1
 
0.6%
200 31
17.7%
ValueCountFrequency (%)
1850 1
 
0.6%
1800 1
 
0.6%
1400 1
 
0.6%
1000 1
 
0.6%
920 2
1.1%
771 1
 
0.6%
750 1
 
0.6%
738 1
 
0.6%
550 1
 
0.6%
500 3
1.7%

대여금액(시설_백만원)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.697143
Minimum0
Maximum1850
Zeros159
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:03.715906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile515
Maximum1850
Range1850
Interquartile range (IQR)0

Descriptive statistics

Standard deviation259.734
Coefficient of variation (CV)4.0776398
Kurtosis28.27024
Mean63.697143
Median Absolute Deviation (MAD)0
Skewness5.0967285
Sum11147
Variance67461.753
MonotonicityNot monotonic
2023-12-12T21:26:03.913121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 159
90.9%
738 1
 
0.6%
550 1
 
0.6%
1800 1
 
0.6%
160 1
 
0.6%
704 1
 
0.6%
216 1
 
0.6%
1850 1
 
0.6%
70 1
 
0.6%
340 1
 
0.6%
Other values (7) 7
 
4.0%
ValueCountFrequency (%)
0 159
90.9%
70 1
 
0.6%
150 1
 
0.6%
160 1
 
0.6%
216 1
 
0.6%
300 1
 
0.6%
340 1
 
0.6%
500 1
 
0.6%
550 1
 
0.6%
644 1
 
0.6%
ValueCountFrequency (%)
1850 1
0.6%
1800 1
0.6%
1400 1
0.6%
975 1
0.6%
750 1
0.6%
738 1
0.6%
704 1
0.6%
644 1
0.6%
550 1
0.6%
500 1
0.6%

대여금액(운전_백만원)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112
Minimum0
Maximum500
Zeros16
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:04.066151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median100
Q3150
95-th percentile200
Maximum500
Range500
Interquartile range (IQR)100

Descriptive statistics

Standard deviation77.770662
Coefficient of variation (CV)0.69438091
Kurtosis3.6490941
Mean112
Median Absolute Deviation (MAD)50
Skewness1.3308934
Sum19600
Variance6048.2759
MonotonicityNot monotonic
2023-12-12T21:26:04.230328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
100 62
35.4%
50 33
18.9%
200 31
17.7%
0 16
 
9.1%
150 14
 
8.0%
80 7
 
4.0%
300 5
 
2.9%
250 1
 
0.6%
70 1
 
0.6%
30 1
 
0.6%
Other values (4) 4
 
2.3%
ValueCountFrequency (%)
0 16
 
9.1%
10 1
 
0.6%
30 1
 
0.6%
50 33
18.9%
70 1
 
0.6%
80 7
 
4.0%
100 62
35.4%
130 1
 
0.6%
150 14
 
8.0%
200 31
17.7%
ValueCountFrequency (%)
500 1
 
0.6%
400 1
 
0.6%
300 5
 
2.9%
250 1
 
0.6%
200 31
17.7%
150 14
 
8.0%
130 1
 
0.6%
100 62
35.4%
80 7
 
4.0%
70 1
 
0.6%

대여금액(합계_백만원)
Real number (ℝ)

Distinct25
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.69714
Minimum10
Maximum1850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:26:04.361651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile50
Q190
median100
Q3200
95-th percentile515
Maximum1850
Range1840
Interquartile range (IQR)110

Descriptive statistics

Standard deviation243.22802
Coefficient of variation (CV)1.3843595
Kurtosis27.31761
Mean175.69714
Median Absolute Deviation (MAD)50
Skewness4.8409999
Sum30747
Variance59159.868
MonotonicityNot monotonic
2023-12-12T21:26:04.514090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
100 62
35.4%
50 33
18.9%
200 31
17.7%
150 15
 
8.6%
80 7
 
4.0%
300 6
 
3.4%
500 2
 
1.1%
70 2
 
1.1%
30 1
 
0.6%
160 1
 
0.6%
Other values (15) 15
 
8.6%
ValueCountFrequency (%)
10 1
 
0.6%
30 1
 
0.6%
50 33
18.9%
70 2
 
1.1%
80 7
 
4.0%
100 62
35.4%
130 1
 
0.6%
150 15
 
8.6%
160 1
 
0.6%
200 31
17.7%
ValueCountFrequency (%)
1850 1
0.6%
1800 1
0.6%
1400 1
0.6%
975 1
0.6%
750 1
0.6%
738 1
0.6%
704 1
0.6%
644 1
0.6%
550 1
0.6%
500 2
1.1%

업종
Categorical

Distinct11
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
정보
91 
기타
27 
잡화
16 
전자
15 
유통
 
9
Other values (6)
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row정보
2nd row잡화
3rd row정보
4th row정보
5th row전기

Common Values

ValueCountFrequency (%)
정보 91
52.0%
기타 27
 
15.4%
잡화 16
 
9.1%
전자 15
 
8.6%
유통 9
 
5.1%
화공 5
 
2.9%
전기 4
 
2.3%
기계 3
 
1.7%
섬유 2
 
1.1%
식료 2
 
1.1%

Length

2023-12-12T21:26:04.656084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정보 91
52.0%
기타 27
 
15.4%
잡화 16
 
9.1%
전자 15
 
8.6%
유통 9
 
5.1%
화공 5
 
2.9%
전기 4
 
2.3%
기계 3
 
1.7%
섬유 2
 
1.1%
식료 2
 
1.1%

Sample

일련번호저작권등록건수등록부분(컴퓨터프로그램)등록부분(데이터베이스)등록부분(일반저작물)사업1사업2자산규모매출규모업력구분(중진공)지역구분(중진공)신청금액(시설_백만원)신청금액(운전_백만원)신청금액(합계_백만원)추천금액(시설_백만원)추천금액(운전_백만원)추천금액(합계_백만원)대여금액(시설_백만원)대여금액(운전_백만원)대여금액(합계_백만원)업종
012200창업기반지원(일반)혁신창업사업화10억미만50억미만7년미만서울738073873807387380738정보
1212500125창업기반지원(일반)혁신창업사업화30억미만10억미만7년미만인천1100011001000010009750975잡화
23141400창업기반지원(일반)혁신창업사업화30억미만50억미만7년미만경기140001400140001400140001400정보
341100창업기반지원(일반)혁신창업사업화10억미만10억미만3년미만서울500050050005005000500정보
45141400창업기반지원(일반)혁신창업사업화10억미만50억미만7년미만전남300030030003003000300전기
56141400창업기반지원(일반)혁신창업사업화10억미만50억미만7년미만전남010010001001000100100전기
671001창업기반지원(일반)혁신창업사업화30억미만50억미만3년미만경기030030001501500150150섬유
781100창업기반지원(일반)혁신창업사업화10억미만5억미만3년미만경기833083377107716440644정보
891100창업기반지원(일반)혁신창업사업화10억미만5억미만3년미만경기050050002002000200200정보
9101100창업기반지원(일반)혁신창업사업화10억미만10억미만5년미만경기150015015001501500150금속
일련번호저작권등록건수등록부분(컴퓨터프로그램)등록부분(데이터베이스)등록부분(일반저작물)사업1사업2자산규모매출규모업력구분(중진공)지역구분(중진공)신청금액(시설_백만원)신청금액(운전_백만원)신청금액(합계_백만원)추천금액(시설_백만원)추천금액(운전_백만원)추천금액(합계_백만원)대여금액(시설_백만원)대여금액(운전_백만원)대여금액(합계_백만원)업종
165166151500창업기반지원(일반)혁신창업사업화30억미만50억미만5년미만경기020020002002000200200정보
1661677700창업기반지원(일반)혁신창업사업화100억미만100억미만7년미만경기020020002002000200200전자
167168212100창업기반지원(일반)혁신창업사업화10억미만50억미만5년미만전남020020002002000200200정보
1681694103창업기반지원(일반)혁신창업사업화10억미만5억미만3년미만강원020020002002000200200정보
16917010109창업기반지원(일반)혁신창업사업화10억미만10억미만5년미만경북010010001001000100100정보
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1711725500창업기반지원(일반)혁신창업사업화200억미만100억미만5년미만서울013013001301300130130정보
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