Overview

Dataset statistics

Number of variables17
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory156.7 B

Variable types

Text1
Numeric16

Dataset

Description중소벤처기업진흥공단이 중소기업을 대상으로 제공하는 정책자금의 업력별 집행실적을 개방하여, 중소기업이 정책자금 신청 시 활용할 수 있도록 개방
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15069948/fileData.do

Alerts

1년미만건수(단위_개) is highly overall correlated with 1년미만금액(단위_백만원) and 5 other fieldsHigh correlation
1년미만금액(단위_백만원) is highly overall correlated with 1년미만건수(단위_개) and 4 other fieldsHigh correlation
3년미만건수(단위_개) is highly overall correlated with 1년미만건수(단위_개) and 6 other fieldsHigh correlation
3년미만금액(단위_백만원) is highly overall correlated with 1년미만건수(단위_개) and 6 other fieldsHigh correlation
5년미만건수(단위_개) is highly overall correlated with 1년미만건수(단위_개) and 5 other fieldsHigh correlation
5년미만금액(단위_백만원) is highly overall correlated with 1년미만건수(단위_개) and 8 other fieldsHigh correlation
7년미만건수(단위_개) is highly overall correlated with 3년미만건수(단위_개) and 6 other fieldsHigh correlation
7년미만금액(단위_백만원) is highly overall correlated with 1년미만건수(단위_개) and 8 other fieldsHigh correlation
10년미만건수(단위_개) is highly overall correlated with 5년미만금액(단위_백만원) and 9 other fieldsHigh correlation
10년미만금액(단위_백만원) is highly overall correlated with 5년미만금액(단위_백만원) and 9 other fieldsHigh correlation
15년미만건수(단위_개) is highly overall correlated with 10년미만건수(단위_개) and 6 other fieldsHigh correlation
15년미만금액(단위_백만원) is highly overall correlated with 10년미만건수(단위_개) and 6 other fieldsHigh correlation
20년미만건수(단위_개) is highly overall correlated with 10년미만건수(단위_개) and 6 other fieldsHigh correlation
20년미만금액(단위_백만원) is highly overall correlated with 10년미만건수(단위_개) and 6 other fieldsHigh correlation
20년이상건수(단위_개) is highly overall correlated with 10년미만건수(단위_개) and 6 other fieldsHigh correlation
20년이상금액(단위_백만원) is highly overall correlated with 10년미만건수(단위_개) and 6 other fieldsHigh correlation
5년미만금액(단위_백만원) has unique valuesUnique
1년미만건수(단위_개) has 7 (25.9%) zerosZeros
1년미만금액(단위_백만원) has 7 (25.9%) zerosZeros
3년미만건수(단위_개) has 2 (7.4%) zerosZeros
3년미만금액(단위_백만원) has 2 (7.4%) zerosZeros
5년미만건수(단위_개) has 1 (3.7%) zerosZeros
5년미만금액(단위_백만원) has 1 (3.7%) zerosZeros
7년미만건수(단위_개) has 2 (7.4%) zerosZeros
7년미만금액(단위_백만원) has 2 (7.4%) zerosZeros
10년미만건수(단위_개) has 3 (11.1%) zerosZeros
10년미만금액(단위_백만원) has 3 (11.1%) zerosZeros
15년미만건수(단위_개) has 7 (25.9%) zerosZeros
15년미만금액(단위_백만원) has 7 (25.9%) zerosZeros
20년미만건수(단위_개) has 6 (22.2%) zerosZeros
20년미만금액(단위_백만원) has 6 (22.2%) zerosZeros
20년이상건수(단위_개) has 6 (22.2%) zerosZeros
20년이상금액(단위_백만원) has 6 (22.2%) zerosZeros

Reproduction

Analysis started2024-03-14 11:52:59.206237
Analysis finished2024-03-14 11:54:04.183474
Duration1 minute and 4.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-14T20:54:04.670508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length6.5185185
Min length2

Characters and Unicode

Total characters176
Distinct characters76
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

Unique24 ?
Unique (%)88.9%

Sample

1st row혁신창업사업화
2nd row창업기반지원
3rd row일반
4th row대환대출
5th row청년전용창업(일반)
ValueCountFrequency (%)
일반 3
 
10.0%
스케일업금융 1
 
3.3%
신시장진출지원자금 1
 
3.3%
재창업 1
 
3.3%
무역조정 1
 
3.3%
사업전환 1
 
3.3%
재도약지원자금 1
 
3.3%
포항피해기업지원 1
 
3.3%
재해중소기업 1
 
3.3%
일시적경영애로 1
 
3.3%
Other values (18) 18
60.0%
2024-03-14T20:54:05.792444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
8.5%
9
 
5.1%
6
 
3.4%
6
 
3.4%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.3%
Other values (66) 109
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
90.9%
Lowercase Letter 5
 
2.8%
Space Separator 4
 
2.3%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%
Uppercase Letter 2
 
1.1%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
9.4%
9
 
5.6%
6
 
3.8%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
Other values (56) 93
58.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
t 1
20.0%
r 1
20.0%
o 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
Z 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
90.9%
Common 9
 
5.1%
Latin 7
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
9.4%
9
 
5.6%
6
 
3.8%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
Other values (56) 93
58.1%
Latin
ValueCountFrequency (%)
e 2
28.6%
N 1
14.3%
t 1
14.3%
Z 1
14.3%
r 1
14.3%
o 1
14.3%
Common
ValueCountFrequency (%)
4
44.4%
) 2
22.2%
( 2
22.2%
- 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
90.9%
ASCII 16
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
9.4%
9
 
5.6%
6
 
3.8%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
Other values (56) 93
58.1%
ASCII
ValueCountFrequency (%)
4
25.0%
) 2
12.5%
( 2
12.5%
e 2
12.5%
N 1
 
6.2%
t 1
 
6.2%
- 1
 
6.2%
Z 1
 
6.2%
r 1
 
6.2%
o 1
 
6.2%

1년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.18519
Minimum0
Maximum1834
Zeros7
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:06.153844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median12
Q342.5
95-th percentile1567.6
Maximum1834
Range1834
Interquartile range (IQR)41

Descriptive statistics

Standard deviation520.23959
Coefficient of variation (CV)2.4176367
Kurtosis5.8943916
Mean215.18519
Median Absolute Deviation (MAD)12
Skewness2.6075693
Sum5810
Variance270649.23
MonotonicityNot monotonic
2024-03-14T20:54:06.521767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7
25.9%
3 3
11.1%
78 2
 
7.4%
25 2
 
7.4%
1834 1
 
3.7%
4 1
 
3.7%
6 1
 
3.7%
19 1
 
3.7%
7 1
 
3.7%
21 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
0 7
25.9%
3 3
11.1%
4 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
12 1
 
3.7%
13 1
 
3.7%
19 1
 
3.7%
21 1
 
3.7%
25 2
 
7.4%
ValueCountFrequency (%)
1834 1
3.7%
1822 1
3.7%
974 1
3.7%
798 1
3.7%
78 2
7.4%
50 1
3.7%
35 1
3.7%
25 2
7.4%
21 1
3.7%
19 1
3.7%

1년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41485.433
Minimum0
Maximum330622.9
Zeros7
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:06.878385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median1470
Q318816
95-th percentile296784.4
Maximum330622.9
Range330622.9
Interquartile range (IQR)18666

Descriptive statistics

Standard deviation94902.607
Coefficient of variation (CV)2.2876128
Kurtosis5.5491441
Mean41485.433
Median Absolute Deviation (MAD)1470
Skewness2.5640014
Sum1120106.7
Variance9.0065048 × 109
MonotonicityNot monotonic
2024-03-14T20:54:07.246076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 7
25.9%
8400.0 2
 
7.4%
300.0 2
 
7.4%
330622.9 1
 
3.7%
329152.9 1
 
3.7%
461.0 1
 
3.7%
1930.0 1
 
3.7%
2391.0 1
 
3.7%
1200.0 1
 
3.7%
6794.0 1
 
3.7%
Other values (9) 9
33.3%
ValueCountFrequency (%)
0.0 7
25.9%
300.0 2
 
7.4%
461.0 1
 
3.7%
950.0 1
 
3.7%
992.0 1
 
3.7%
1200.0 1
 
3.7%
1470.0 1
 
3.7%
1930.0 1
 
3.7%
2391.0 1
 
3.7%
5045.0 1
 
3.7%
ValueCountFrequency (%)
330622.9 1
3.7%
329152.9 1
3.7%
221257.9 1
3.7%
102850.0 1
3.7%
38176.0 1
3.7%
30182.0 1
3.7%
29232.0 1
3.7%
8400.0 2
7.4%
6794.0 1
3.7%
5045.0 1
3.7%

3년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435.81481
Minimum0
Maximum3648
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:07.599468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q17.5
median41
Q3147
95-th percentile3215.6
Maximum3648
Range3648
Interquartile range (IQR)139.5

Descriptive statistics

Standard deviation1034.2145
Coefficient of variation (CV)2.3730594
Kurtosis5.8970351
Mean435.81481
Median Absolute Deviation (MAD)37
Skewness2.6376287
Sum11767
Variance1069599.5
MonotonicityNot monotonic
2024-03-14T20:54:07.989469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 2
 
7.4%
1 2
 
7.4%
17 2
 
7.4%
119 1
 
3.7%
9 1
 
3.7%
175 1
 
3.7%
185 1
 
3.7%
2 1
 
3.7%
5 1
 
3.7%
45 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 2
7.4%
1 2
7.4%
2 1
3.7%
5 1
3.7%
6 1
3.7%
9 1
3.7%
10 1
3.7%
17 2
7.4%
34 1
3.7%
40 1
3.7%
ValueCountFrequency (%)
3648 1
3.7%
3584 1
3.7%
2356 1
3.7%
1049 1
3.7%
185 1
3.7%
179 1
3.7%
175 1
3.7%
119 1
3.7%
78 1
3.7%
64 1
3.7%

3년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72154.152
Minimum0
Maximum603904.37
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:08.358026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q11978
median5867
Q320096
95-th percentile551552.87
Maximum603904.37
Range603904.37
Interquartile range (IQR)18118

Descriptive statistics

Standard deviation175388.34
Coefficient of variation (CV)2.430745
Kurtosis5.602838
Mean72154.152
Median Absolute Deviation (MAD)5767
Skewness2.6297482
Sum1948162.1
Variance3.0761071 × 1010
MonotonicityNot monotonic
2024-03-14T20:54:08.741482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 2
 
7.4%
100.0 2
 
7.4%
592249.3721 1
 
3.7%
980.0 1
 
3.7%
21587.0 1
 
3.7%
22667.0 1
 
3.7%
237.0 1
 
3.7%
740.0 1
 
3.7%
4890.0 1
 
3.7%
5867.0 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
0.0 2
7.4%
100.0 2
7.4%
237.0 1
3.7%
740.0 1
3.7%
980.0 1
3.7%
2976.0 1
3.7%
4290.0 1
3.7%
4820.0 1
3.7%
4890.0 1
3.7%
5530.0 1
3.7%
ValueCountFrequency (%)
603904.3692 1
3.7%
592249.3721 1
3.7%
456594.3721 1
3.7%
117050.0 1
3.7%
24345.0 1
3.7%
22667.0 1
3.7%
21587.0 1
3.7%
18605.0 1
3.7%
14680.0 1
3.7%
11654.99707 1
3.7%

5년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327
Minimum0
Maximum2593
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:09.114708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113.5
median45
Q3103
95-th percentile2475.3
Maximum2593
Range2593
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation787.38047
Coefficient of variation (CV)2.4078913
Kurtosis5.2245918
Mean327
Median Absolute Deviation (MAD)40
Skewness2.6048583
Sum8829
Variance619968
MonotonicityNot monotonic
2024-03-14T20:54:09.510243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 3
 
11.1%
2493 1
 
3.7%
24 1
 
3.7%
148 1
 
3.7%
37 1
 
3.7%
38 1
 
3.7%
210 1
 
3.7%
14 1
 
3.7%
68 1
 
3.7%
83 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
0 1
 
3.7%
1 3
11.1%
5 1
 
3.7%
7 1
 
3.7%
13 1
 
3.7%
14 1
 
3.7%
19 1
 
3.7%
24 1
 
3.7%
32 1
 
3.7%
37 1
 
3.7%
ValueCountFrequency (%)
2593 1
3.7%
2493 1
3.7%
2434 1
3.7%
210 1
3.7%
149 1
3.7%
148 1
3.7%
106 1
3.7%
100 1
3.7%
89 1
3.7%
83 1
3.7%

5년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71834.971
Minimum0
Maximum580654.82
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:09.876555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile112.5
Q14106.5
median9275
Q319661.885
95-th percentile554670.03
Maximum580654.82
Range580654.82
Interquartile range (IQR)15555.385

Descriptive statistics

Standard deviation177112.58
Coefficient of variation (CV)2.4655482
Kurtosis5.2428814
Mean71834.971
Median Absolute Deviation (MAD)5945
Skewness2.6116525
Sum1939544.2
Variance3.1368866 × 1010
MonotonicityNot monotonic
2024-03-14T20:54:10.256471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
580654.8223 1
 
3.7%
556425.027 1
 
3.7%
3330.0 1
 
3.7%
25908.0 1
 
3.7%
200.0 1
 
3.7%
13665.0 1
 
3.7%
13865.0 1
 
3.7%
43103.0 1
 
3.7%
75.0 1
 
3.7%
2840.0 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
0.0 1
3.7%
75.0 1
3.7%
200.0 1
3.7%
1230.769231 1
3.7%
2840.0 1
3.7%
3330.0 1
3.7%
3750.0 1
3.7%
4463.0 1
3.7%
4507.0 1
3.7%
5643.0 1
3.7%
ValueCountFrequency (%)
580654.8223 1
3.7%
556425.027 1
3.7%
550575.027 1
3.7%
43103.0 1
3.7%
25908.0 1
3.7%
24229.79522 1
3.7%
19730.0 1
3.7%
19593.76923 1
3.7%
13865.0 1
3.7%
13665.0 1
3.7%

7년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.40741
Minimum0
Maximum2214
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:10.626458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q117
median52
Q3100.5
95-th percentile2108.5
Maximum2214
Range2214
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation671.86848
Coefficient of variation (CV)2.3790753
Kurtosis5.2282555
Mean282.40741
Median Absolute Deviation (MAD)45
Skewness2.6068253
Sum7625
Variance451407.25
MonotonicityNot monotonic
2024-03-14T20:54:11.003078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 2
 
7.4%
0 2
 
7.4%
70 2
 
7.4%
112 2
 
7.4%
2214 1
 
3.7%
36 1
 
3.7%
52 1
 
3.7%
53 1
 
3.7%
159 1
 
3.7%
20 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 2
7.4%
1 2
7.4%
4 1
3.7%
5 1
3.7%
16 1
3.7%
18 1
3.7%
20 1
3.7%
25 1
3.7%
36 1
3.7%
42 1
3.7%
ValueCountFrequency (%)
2214 1
3.7%
2110 1
3.7%
2105 1
3.7%
159 1
3.7%
112 2
7.4%
104 1
3.7%
97 1
3.7%
92 1
3.7%
70 2
7.4%
64 1
3.7%

7년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68769.963
Minimum0
Maximum542873.52
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:11.551045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q13915
median12700
Q316836
95-th percentile524367.44
Maximum542873.52
Range542873.52
Interquartile range (IQR)12921

Descriptive statistics

Standard deviation166631.94
Coefficient of variation (CV)2.4230338
Kurtosis5.2259391
Mean68769.963
Median Absolute Deviation (MAD)6300
Skewness2.6087045
Sum1856789
Variance2.7766204 × 1010
MonotonicityNot monotonic
2024-03-14T20:54:11.809792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 2
 
7.4%
542873.5154 1
 
3.7%
16050.0 1
 
3.7%
6400.0 1
 
3.7%
16815.0 1
 
3.7%
100.0 1
 
3.7%
14400.0 1
 
3.7%
14500.0 1
 
3.7%
37715.0 1
 
3.7%
3160.0 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
0.0 2
7.4%
100.0 1
3.7%
600.0 1
3.7%
1230.769231 1
3.7%
2516.0 1
3.7%
3160.0 1
3.7%
4670.0 1
3.7%
6400.0 1
3.7%
7000.0 1
3.7%
7986.0 1
3.7%
ValueCountFrequency (%)
542873.5154 1
3.7%
524547.4414 1
3.7%
523947.4414 1
3.7%
37715.0 1
3.7%
35120.76923 1
3.7%
18326.07397 1
3.7%
16857.0 1
3.7%
16815.0 1
3.7%
16050.0 1
3.7%
15860.0 1
3.7%

10년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.48148
Minimum0
Maximum521
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:12.128204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.5
median88
Q3226
95-th percentile443.9
Maximum521
Range521
Interquartile range (IQR)218.5

Descriptive statistics

Standard deviation154.30449
Coefficient of variation (CV)1.1223656
Kurtosis0.31757328
Mean137.48148
Median Absolute Deviation (MAD)83
Skewness1.1451226
Sum3712
Variance23809.875
MonotonicityNot monotonic
2024-03-14T20:54:12.509041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 3
 
11.1%
5 2
 
7.4%
113 2
 
7.4%
60 2
 
7.4%
91 1
 
3.7%
8 1
 
3.7%
105 1
 
3.7%
209 1
 
3.7%
20 1
 
3.7%
287 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0 3
11.1%
2 1
 
3.7%
5 2
7.4%
7 1
 
3.7%
8 1
 
3.7%
20 1
 
3.7%
37 1
 
3.7%
54 1
 
3.7%
60 2
7.4%
88 1
 
3.7%
ValueCountFrequency (%)
521 1
3.7%
455 1
3.7%
418 1
3.7%
307 1
3.7%
303 1
3.7%
287 1
3.7%
243 1
3.7%
209 1
3.7%
201 1
3.7%
113 2
7.4%

10년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41267.775
Minimum0
Maximum224127.07
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:12.827327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14394.2855
median27625.259
Q347390.628
95-th percentile151102.1
Maximum224127.07
Range224127.07
Interquartile range (IQR)42996.342

Descriptive statistics

Standard deviation53798.343
Coefficient of variation (CV)1.3036405
Kurtosis4.7862748
Mean41267.775
Median Absolute Deviation (MAD)23214.996
Skewness2.146956
Sum1114229.9
Variance2.8942618 × 109
MonotonicityNot monotonic
2024-03-14T20:54:13.026647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 3
 
11.1%
27625.25888 2
 
7.4%
78465.51388 1
 
3.7%
18840.0 1
 
3.7%
20100.0 1
 
3.7%
2290.0 1
 
3.7%
1850.0 1
 
3.7%
38948.0 1
 
3.7%
40798.0 1
 
3.7%
63188.0 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0.0 3
11.1%
200.0 1
 
3.7%
1850.0 1
 
3.7%
2290.0 1
 
3.7%
4372.571062 1
 
3.7%
4416.0 1
 
3.7%
4720.0 1
 
3.7%
15138.0 1
 
3.7%
16420.0 1
 
3.7%
18840.0 1
 
3.7%
ValueCountFrequency (%)
224127.0711 1
3.7%
155643.5 1
3.7%
140505.5 1
3.7%
78465.51388 1
3.7%
63188.0 1
3.7%
59391.0 1
3.7%
50840.255 1
3.7%
43941.0 1
3.7%
40798.0 1
3.7%
39525.0 1
3.7%

15년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.07407
Minimum0
Maximum629
Zeros7
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:13.343658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median95
Q3270
95-th percentile483.5
Maximum629
Range629
Interquartile range (IQR)265

Descriptive statistics

Standard deviation175.10918
Coefficient of variation (CV)1.1365259
Kurtosis0.75927566
Mean154.07407
Median Absolute Deviation (MAD)95
Skewness1.1763279
Sum4160
Variance30663.225
MonotonicityNot monotonic
2024-03-14T20:54:13.712051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 7
25.9%
270 2
 
7.4%
141 1
 
3.7%
90 1
 
3.7%
10 1
 
3.7%
135 1
 
3.7%
145 1
 
3.7%
235 1
 
3.7%
27 1
 
3.7%
317 1
 
3.7%
Other values (10) 10
37.0%
ValueCountFrequency (%)
0 7
25.9%
10 1
 
3.7%
14 1
 
3.7%
17 1
 
3.7%
27 1
 
3.7%
65 1
 
3.7%
90 1
 
3.7%
95 1
 
3.7%
135 1
 
3.7%
137 1
 
3.7%
ValueCountFrequency (%)
629 1
3.7%
503 1
3.7%
438 1
3.7%
344 1
3.7%
317 1
3.7%
278 1
3.7%
270 2
7.4%
235 1
3.7%
145 1
3.7%
141 1
3.7%

15년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56546.259
Minimum0
Maximum349000.28
Zeros7
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:14.066061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11600
median26942
Q366773.959
95-th percentile204947
Maximum349000.28
Range349000.28
Interquartile range (IQR)65173.959

Descriptive statistics

Standard deviation80559.095
Coefficient of variation (CV)1.4246583
Kurtosis6.184337
Mean56546.259
Median Absolute Deviation (MAD)26942
Skewness2.3396362
Sum1526749
Variance6.4897677 × 109
MonotonicityNot monotonic
2024-03-14T20:54:14.446345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 7
25.9%
62504.9184 2
 
7.4%
31900.0 1
 
3.7%
23412.0 1
 
3.7%
3200.0 1
 
3.7%
71043.0 1
 
3.7%
74243.0 1
 
3.7%
97655.0 1
 
3.7%
6975.0 1
 
3.7%
50863.0 1
 
3.7%
Other values (10) 10
37.0%
ValueCountFrequency (%)
0.0 7
25.9%
3200.0 1
 
3.7%
6975.0 1
 
3.7%
8748.675124 1
 
3.7%
10332.0 1
 
3.7%
20840.0 1
 
3.7%
23412.0 1
 
3.7%
26942.0 1
 
3.7%
31900.0 1
 
3.7%
50863.0 1
 
3.7%
ValueCountFrequency (%)
349000.2751 1
3.7%
213029.6 1
3.7%
186087.6 1
3.7%
116890.0 1
3.7%
97655.0 1
3.7%
74243.0 1
3.7%
71043.0 1
3.7%
62504.9184 2
7.4%
57838.0 1
3.7%
52740.0 1
3.7%

20년미만건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.555556
Minimum0
Maximum356
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:14.809228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median58
Q3176
95-th percentile275.4
Maximum356
Range356
Interquartile range (IQR)173

Descriptive statistics

Standard deviation105.88758
Coefficient of variation (CV)1.1081258
Kurtosis-0.19213109
Mean95.555556
Median Absolute Deviation (MAD)58
Skewness0.94582026
Sum2580
Variance11212.179
MonotonicityNot monotonic
2024-03-14T20:54:15.189963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 6
22.2%
176 2
 
7.4%
58 1
 
3.7%
5 1
 
3.7%
76 1
 
3.7%
81 1
 
3.7%
139 1
 
3.7%
1 1
 
3.7%
22 1
 
3.7%
224 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0 6
22.2%
1 1
 
3.7%
5 1
 
3.7%
10 1
 
3.7%
11 1
 
3.7%
22 1
 
3.7%
32 1
 
3.7%
50 1
 
3.7%
58 1
 
3.7%
76 1
 
3.7%
ValueCountFrequency (%)
356 1
3.7%
285 1
3.7%
253 1
3.7%
247 1
3.7%
224 1
3.7%
189 1
3.7%
176 2
7.4%
139 1
3.7%
101 1
3.7%
88 1
3.7%

20년미만금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34033.666
Minimum0
Maximum187051.53
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:15.551910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1775
median16598
Q348892.98
95-th percentile104349
Maximum187051.53
Range187051.53
Interquartile range (IQR)48117.98

Descriptive statistics

Standard deviation43094.81
Coefficient of variation (CV)1.2662406
Kurtosis5.1556158
Mean34033.666
Median Absolute Deviation (MAD)16598
Skewness2.0195995
Sum918908.97
Variance1.8571627 × 109
MonotonicityNot monotonic
2024-03-14T20:54:15.938137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 6
22.2%
54313.96 2
 
7.4%
16598.0 1
 
3.7%
1250.0 1
 
3.7%
41922.0 1
 
3.7%
43172.0 1
 
3.7%
59770.0 1
 
3.7%
300.0 1
 
3.7%
4656.0 1
 
3.7%
38516.0 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0.0 6
22.2%
300.0 1
 
3.7%
1250.0 1
 
3.7%
4656.0 1
 
3.7%
6009.0 1
 
3.7%
7360.526738 1
 
3.7%
11850.0 1
 
3.7%
14130.0 1
 
3.7%
16598.0 1
 
3.7%
25179.0 1
 
3.7%
ValueCountFrequency (%)
187051.5267 1
3.7%
107904.0 1
3.7%
96054.0 1
3.7%
65778.0 1
3.7%
59770.0 1
3.7%
54313.96 2
7.4%
43472.0 1
3.7%
43172.0 1
3.7%
41922.0 1
3.7%
39309.0 1
3.7%

20년이상건수(단위_개)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.62963
Minimum0
Maximum664
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:16.298898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median103
Q3270
95-th percentile445.7
Maximum664
Range664
Interquartile range (IQR)265

Descriptive statistics

Standard deviation173.33941
Coefficient of variation (CV)1.1282941
Kurtosis1.4046347
Mean153.62963
Median Absolute Deviation (MAD)103
Skewness1.2933294
Sum4148
Variance30046.55
MonotonicityNot monotonic
2024-03-14T20:54:16.669515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 6
22.2%
270 2
 
7.4%
93 1
 
3.7%
9 1
 
3.7%
107 1
 
3.7%
116 1
 
3.7%
209 1
 
3.7%
1 1
 
3.7%
38 1
 
3.7%
318 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0 6
22.2%
1 1
 
3.7%
9 1
 
3.7%
16 1
 
3.7%
38 1
 
3.7%
61 1
 
3.7%
62 1
 
3.7%
93 1
 
3.7%
103 1
 
3.7%
107 1
 
3.7%
ValueCountFrequency (%)
664 1
3.7%
464 1
3.7%
403 1
3.7%
357 1
3.7%
318 1
3.7%
284 1
3.7%
270 2
7.4%
209 1
3.7%
181 1
3.7%
122 1
3.7%

20년이상금액(단위_백만원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63521.077
Minimum0
Maximum407585.59
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size371.0 B
2024-03-14T20:54:17.035719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12200
median37056.689
Q376660
95-th percentile196150.9
Maximum407585.59
Range407585.59
Interquartile range (IQR)74460

Descriptive statistics

Standard deviation88566.09
Coefficient of variation (CV)1.3942788
Kurtosis8.2737956
Mean63521.077
Median Absolute Deviation (MAD)37056.689
Skewness2.5890728
Sum1715069.1
Variance7.8439523 × 109
MonotonicityNot monotonic
2024-03-14T20:54:17.256882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 6
22.2%
76660.0 2
 
7.4%
27180.0 1
 
3.7%
3400.0 1
 
3.7%
59922.0 1
 
3.7%
63322.0 1
 
3.7%
90502.0 1
 
3.7%
1000.0 1
 
3.7%
10972.0 1
 
3.7%
67460.0 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0.0 6
22.2%
1000.0 1
 
3.7%
3400.0 1
 
3.7%
10972.0 1
 
3.7%
11653.0 1
 
3.7%
17880.0 1
 
3.7%
25190.0 1
 
3.7%
27180.0 1
 
3.7%
37056.68861 1
 
3.7%
51960.0 1
 
3.7%
ValueCountFrequency (%)
407585.5886 1
3.7%
203707.9 1
3.7%
178517.9 1
3.7%
155168.0 1
3.7%
90502.0 1
3.7%
79432.0 1
3.7%
76660.0 2
7.4%
69840.0 1
3.7%
67460.0 1
3.7%
63322.0 1
3.7%

Interactions

2024-03-14T20:53:58.896784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-14T20:53:29.085042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:33.241648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:37.172475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:41.154821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:45.412696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:49.497742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:53.610381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:57.864822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:54:02.296568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:03.266423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:07.107163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:10.535108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:14.653360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:19.099746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:21.871096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:25.375403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:29.339648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:33.490952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:37.426160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:41.416500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:45.676086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:49.754500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:53.874218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:58.121593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:54:02.567063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:03.528160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:07.536435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:10.798370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:15.028105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:19.251676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:22.027886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:25.628062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:29.595714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:33.745447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:37.679949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:41.672822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:45.940527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:50.017343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:54.135075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:58.380046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:54:02.832546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:03.787194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:07.795891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:11.052874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:15.387194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:19.395597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:22.179989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:25.870838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:29.854055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:33.988243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:37.906907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:41.921952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:46.197245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:50.269911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:54.401499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:53:58.630227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:54:17.455383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분1년미만건수(단위_개)1년미만금액(단위_백만원)3년미만건수(단위_개)3년미만금액(단위_백만원)5년미만건수(단위_개)5년미만금액(단위_백만원)7년미만건수(단위_개)7년미만금액(단위_백만원)10년미만건수(단위_개)10년미만금액(단위_백만원)15년미만건수(단위_개)15년미만금액(단위_백만원)20년미만건수(단위_개)20년미만금액(단위_백만원)20년이상건수(단위_개)20년이상금액(단위_백만원)
구분1.0000.0000.0000.0000.0000.0000.0000.0000.0000.6670.7700.0000.0000.7040.6720.8650.701
1년미만건수(단위_개)0.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.3520.0000.0000.0000.0000.0000.000
1년미만금액(단위_백만원)0.0001.0001.0001.0001.0001.0001.0001.0001.0000.5400.6760.2840.4040.0000.4600.3630.455
3년미만건수(단위_개)0.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.3520.0000.0000.0000.0000.0000.000
3년미만금액(단위_백만원)0.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.3520.0000.0000.0000.0000.0000.000
5년미만건수(단위_개)0.0001.0001.0001.0001.0001.0000.9530.9530.9530.3120.7800.0000.0000.0000.0000.0000.000
5년미만금액(단위_백만원)0.0001.0001.0001.0001.0000.9531.0000.9530.9530.3120.7800.0000.0000.0000.0000.0000.000
7년미만건수(단위_개)0.0001.0001.0001.0001.0000.9530.9531.0000.9530.3120.7800.0000.0000.0000.0000.0000.000
7년미만금액(단위_백만원)0.0001.0001.0001.0001.0000.9530.9530.9531.0000.3120.7800.0000.0000.0000.0000.0000.000
10년미만건수(단위_개)0.6670.0000.5400.0000.0000.3120.3120.3120.3121.0000.9030.9000.8570.9500.8730.9670.881
10년미만금액(단위_백만원)0.7700.3520.6760.3520.3520.7800.7800.7800.7800.9031.0000.8900.8490.8960.9740.8400.968
15년미만건수(단위_개)0.0000.0000.2840.0000.0000.0000.0000.0000.0000.9000.8901.0000.9390.9890.9400.9350.975
15년미만금액(단위_백만원)0.0000.0000.4040.0000.0000.0000.0000.0000.0000.8570.8490.9391.0000.9520.8990.8670.937
20년미만건수(단위_개)0.7040.0000.0000.0000.0000.0000.0000.0000.0000.9500.8960.9890.9521.0000.9170.9400.959
20년미만금액(단위_백만원)0.6720.0000.4600.0000.0000.0000.0000.0000.0000.8730.9740.9400.8990.9171.0000.9640.993
20년이상건수(단위_개)0.8650.0000.3630.0000.0000.0000.0000.0000.0000.9670.8400.9350.8670.9400.9641.0000.936
20년이상금액(단위_백만원)0.7010.0000.4550.0000.0000.0000.0000.0000.0000.8810.9680.9750.9370.9590.9930.9361.000
2024-03-14T20:54:17.855319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1년미만건수(단위_개)1년미만금액(단위_백만원)3년미만건수(단위_개)3년미만금액(단위_백만원)5년미만건수(단위_개)5년미만금액(단위_백만원)7년미만건수(단위_개)7년미만금액(단위_백만원)10년미만건수(단위_개)10년미만금액(단위_백만원)15년미만건수(단위_개)15년미만금액(단위_백만원)20년미만건수(단위_개)20년미만금액(단위_백만원)20년이상건수(단위_개)20년이상금액(단위_백만원)
1년미만건수(단위_개)1.0000.9580.9090.9330.5870.5780.4880.5270.1490.212-0.024-0.056-0.054-0.047-0.058-0.052
1년미만금액(단위_백만원)0.9581.0000.8060.9040.4610.5270.4110.5500.2430.3540.0740.0850.0390.0920.0490.084
3년미만건수(단위_개)0.9090.8061.0000.9340.7320.6370.6370.5510.1780.158-0.009-0.145-0.028-0.112-0.054-0.110
3년미만금액(단위_백만원)0.9330.9040.9341.0000.6100.6210.5430.6360.2200.2870.0500.0030.0230.0260.0200.024
5년미만건수(단위_개)0.5870.4610.7320.6101.0000.9060.9480.7780.3800.3320.1530.0260.1310.0370.0980.024
5년미만금액(단위_백만원)0.5780.5270.6370.6210.9061.0000.9110.9060.5490.5700.3170.2820.2800.2690.2660.242
7년미만건수(단위_개)0.4880.4110.6370.5430.9480.9111.0000.8570.5520.5070.3160.1920.2900.2020.2610.194
7년미만금액(단위_백만원)0.5270.5500.5510.6360.7780.9060.8571.0000.5890.7010.3740.4140.3350.4100.3530.394
10년미만건수(단위_개)0.1490.2430.1780.2200.3800.5490.5520.5891.0000.9240.9290.8270.9170.8450.8980.836
10년미만금액(단위_백만원)0.2120.3540.1580.2870.3320.5700.5070.7010.9241.0000.8500.8930.8210.8960.8450.882
15년미만건수(단위_개)-0.0240.074-0.0090.0500.1530.3170.3160.3740.9290.8501.0000.9040.9940.9220.9870.930
15년미만금액(단위_백만원)-0.0560.085-0.1450.0030.0260.2820.1920.4140.8270.8930.9041.0000.8830.9850.9100.966
20년미만건수(단위_개)-0.0540.039-0.0280.0230.1310.2800.2900.3350.9170.8210.9940.8831.0000.9140.9900.925
20년미만금액(단위_백만원)-0.0470.092-0.1120.0260.0370.2690.2020.4100.8450.8960.9220.9850.9141.0000.9410.989
20년이상건수(단위_개)-0.0580.049-0.0540.0200.0980.2660.2610.3530.8980.8450.9870.9100.9900.9411.0000.960
20년이상금액(단위_백만원)-0.0520.084-0.1100.0240.0240.2420.1940.3940.8360.8820.9300.9660.9250.9890.9601.000

Missing values

2024-03-14T20:54:03.234476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:54:03.901675image/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

구분1년미만건수(단위_개)1년미만금액(단위_백만원)3년미만건수(단위_개)3년미만금액(단위_백만원)5년미만건수(단위_개)5년미만금액(단위_백만원)7년미만건수(단위_개)7년미만금액(단위_백만원)10년미만건수(단위_개)10년미만금액(단위_백만원)15년미만건수(단위_개)15년미만금액(단위_백만원)20년미만건수(단위_개)20년미만금액(단위_백만원)20년이상건수(단위_개)20년이상금액(단위_백만원)
0혁신창업사업화1834330622.93648603904.36922593580654.82232214542873.515430378465.5138827062504.918417654313.9627076660.0
1창업기반지원1822329152.93584592249.37212493556425.0272110524547.44146027625.2588800.000.000.0
2일반798221257.92356456594.37212434550575.0272105523947.44146027625.2588800.000.000.0
3대환대출13992.0402976.01068605.0977986.02200.000.000.000.0
4청년전용창업(일반)974102850.01049117050.000.000.000.000.000.000.0
5청년전용창업(창성패)505045.017918605.0595850.05600.000.000.000.000.0
6개발기술사업화121470.06411654.9970710024229.7952210418326.0739724350840.25527062504.918417654313.9627076660.0
7신성장기반자금3538176.05024345.04519593.769236435120.76923521224127.0711629349000.2751356187051.5267664407585.5886
8혁신성장지원2530182.0349910.03210106.04314517.0455155643.5503213029.6285107904.0464203707.9
9일반2129232.0174290.0135643.0184670.0418140505.5438186087.625396054.0403178517.9
구분1년미만건수(단위_개)1년미만금액(단위_백만원)3년미만건수(단위_개)3년미만금액(단위_백만원)5년미만건수(단위_개)5년미만금액(단위_백만원)7년미만건수(단위_개)7년미만금액(단위_백만원)10년미만건수(단위_개)10년미만금액(단위_백만원)15년미만건수(단위_개)15년미만금액(단위_백만원)20년미만건수(단위_개)20년미만금액(단위_백만원)20년이상건수(단위_개)20년이상금액(단위_백만원)
17긴급경영안정자금3300.0525867.08312190.011215860.030743941.034457838.024743472.035779432.0
18일시적경영애로3300.0454890.0689275.09212700.028739525.031750863.022438516.031867460.0
19재해중소기업00.05740.0142840.0203160.0204416.0276975.0224656.03810972.0
20포항피해기업지원00.02237.0175.000.000.000.01300.011000.0
21재도약지원자금788400.018522667.021043103.015937715.020963188.023597655.013959770.020990502.0
22사업전환00.01100.03813865.05314500.011340798.014574243.08143172.011663322.0
23일반00.01100.03713665.05214400.010538948.013571043.07641922.010759922.0
24무역조정00.000.01200.01100.081850.0103200.051250.093400.0
25재창업788400.017521587.014825908.07016815.052290.000.000.000.0
26구조개선전용00.09980.0243330.0366400.09120100.09023412.05816598.09327180.0