Overview

Dataset statistics

Number of variables7
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.4 KiB
Average record size in memory62.3 B

Variable types

Text1
Numeric6

Dataset

Description해당 파일은 신용보증기금이 운용하는 유동화회사보증의 신용상태 판단 관련 데이터로, 매출금액증가비율 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15121688/fileData.do

Alerts

전기순이익금액 is highly overall correlated with 당기순이익금액High correlation
당기순이익금액 is highly overall correlated with 전기순이익금액High correlation
매출금액증가비율 has 8 (1.6%) zerosZeros
전기순이익금액 has 11 (2.2%) zerosZeros
당기순이익금액 has 8 (1.6%) zerosZeros
매입채무금액 has 8 (1.6%) zerosZeros

Reproduction

Analysis started2023-12-12 09:56:56.697699
Analysis finished2023-12-12 09:57:01.487081
Duration4.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

Distinct96
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T18:57:02.045116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters6000
Distinct characters26
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)3.4%

Sample

1st rowTBI*********
2nd rowTBA*********
3rd rowTQH*********
4th rowTBF*********
5th rowTOD*********
ValueCountFrequency (%)
qac 17
 
3.4%
taw 16
 
3.2%
tav 15
 
3.0%
thv 15
 
3.0%
tat 14
 
2.8%
taf 12
 
2.4%
tan 12
 
2.4%
tqh 11
 
2.2%
tia 10
 
2.0%
tal 10
 
2.0%
Other values (86) 368
73.6%
2023-12-12T18:57:02.466248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 4500
75.0%
T 501
 
8.3%
A 205
 
3.4%
H 135
 
2.2%
I 78
 
1.3%
Q 65
 
1.1%
B 57
 
0.9%
P 43
 
0.7%
O 42
 
0.7%
M 41
 
0.7%
Other values (16) 333
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 4500
75.0%
Uppercase Letter 1500
 
25.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 501
33.4%
A 205
13.7%
H 135
 
9.0%
I 78
 
5.2%
Q 65
 
4.3%
B 57
 
3.8%
P 43
 
2.9%
O 42
 
2.8%
M 41
 
2.7%
L 39
 
2.6%
Other values (15) 294
19.6%
Other Punctuation
ValueCountFrequency (%)
* 4500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4500
75.0%
Latin 1500
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 501
33.4%
A 205
13.7%
H 135
 
9.0%
I 78
 
5.2%
Q 65
 
4.3%
B 57
 
3.8%
P 43
 
2.9%
O 42
 
2.8%
M 41
 
2.7%
L 39
 
2.6%
Other values (15) 294
19.6%
Common
ValueCountFrequency (%)
* 4500
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 4500
75.0%
T 501
 
8.3%
A 205
 
3.4%
H 135
 
2.2%
I 78
 
1.3%
Q 65
 
1.1%
B 57
 
0.9%
P 43
 
0.7%
O 42
 
0.7%
M 41
 
0.7%
Other values (16) 333
 
5.5%

매출금액증가비율
Real number (ℝ)

ZEROS 

Distinct383
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.9774
Minimum-67.6
Maximum528.6
Zeros8
Zeros (%)1.6%
Negative78
Negative (%)15.6%
Memory size4.5 KiB
2023-12-12T18:57:02.609654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-67.6
5-th percentile-16.1
Q16.075
median17.6
Q337.175
95-th percentile93.4
Maximum528.6
Range596.2
Interquartile range (IQR)31.1

Descriptive statistics

Standard deviation48.038369
Coefficient of variation (CV)1.7170419
Kurtosis39.564723
Mean27.9774
Median Absolute Deviation (MAD)13.95
Skewness4.848815
Sum13988.7
Variance2307.6849
MonotonicityNot monotonic
2023-12-12T18:57:02.775297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
1.6%
17.6 5
 
1.0%
10.1 4
 
0.8%
-2.2 3
 
0.6%
15.0 3
 
0.6%
-4.2 3
 
0.6%
-7.0 3
 
0.6%
26.1 3
 
0.6%
20.0 3
 
0.6%
25.6 3
 
0.6%
Other values (373) 462
92.4%
ValueCountFrequency (%)
-67.6 1
0.2%
-64.8 1
0.2%
-45.3 1
0.2%
-44.1 1
0.2%
-43.9 1
0.2%
-42.8 1
0.2%
-38.4 1
0.2%
-31.9 1
0.2%
-29.9 1
0.2%
-27.9 2
0.4%
ValueCountFrequency (%)
528.6 1
0.2%
464.3 1
0.2%
293.9 1
0.2%
254.2 1
0.2%
204.0 1
0.2%
189.3 1
0.2%
177.2 1
0.2%
176.5 1
0.2%
176.2 1
0.2%
156.9 1
0.2%
Distinct365
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.7682
Minimum0
Maximum139.1
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T18:57:02.913719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.095
Q119.975
median32.25
Q349.725
95-th percentile79.615
Maximum139.1
Range139.1
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation21.436861
Coefficient of variation (CV)0.58302721
Kurtosis0.83790974
Mean36.7682
Median Absolute Deviation (MAD)14.2
Skewness0.93904648
Sum18384.1
Variance459.53901
MonotonicityNot monotonic
2023-12-12T18:57:03.049492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.7 6
 
1.2%
16.8 5
 
1.0%
32.1 4
 
0.8%
22.2 3
 
0.6%
36.2 3
 
0.6%
33.5 3
 
0.6%
21.4 3
 
0.6%
46.7 3
 
0.6%
58.5 3
 
0.6%
18.0 3
 
0.6%
Other values (355) 464
92.8%
ValueCountFrequency (%)
0.0 2
0.4%
3.8 1
0.2%
6.1 1
0.2%
6.3 1
0.2%
6.5 1
0.2%
6.8 1
0.2%
7.0 1
0.2%
7.4 2
0.4%
7.6 1
0.2%
8.0 1
0.2%
ValueCountFrequency (%)
139.1 1
0.2%
102.8 1
0.2%
97.5 1
0.2%
96.4 1
0.2%
96.1 1
0.2%
94.9 1
0.2%
94.0 1
0.2%
92.5 1
0.2%
92.0 1
0.2%
91.1 1
0.2%
Distinct412
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.8658
Minimum0
Maximum930
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T18:57:03.188219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66.625
Q1134.5
median213.15
Q3311.675
95-th percentile479.045
Maximum930
Range930
Interquartile range (IQR)177.175

Descriptive statistics

Standard deviation135.31044
Coefficient of variation (CV)0.57858156
Kurtosis3.2862293
Mean233.8658
Median Absolute Deviation (MAD)86.85
Skewness1.3121534
Sum116932.9
Variance18308.915
MonotonicityNot monotonic
2023-12-12T18:57:03.316246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200.0 7
 
1.4%
250.0 5
 
1.0%
400.0 5
 
1.0%
83.3 4
 
0.8%
100.0 4
 
0.8%
333.3 4
 
0.8%
300.0 4
 
0.8%
255.6 3
 
0.6%
184.1 3
 
0.6%
266.7 3
 
0.6%
Other values (402) 458
91.6%
ValueCountFrequency (%)
0.0 2
0.4%
29.8 1
0.2%
32.4 1
0.2%
34.8 1
0.2%
35.9 1
0.2%
37.7 1
0.2%
38.0 1
0.2%
38.4 1
0.2%
38.9 1
0.2%
42.9 1
0.2%
ValueCountFrequency (%)
930.0 1
0.2%
910.0 1
0.2%
850.0 1
0.2%
783.3 1
0.2%
652.9 1
0.2%
620.0 2
0.4%
606.7 1
0.2%
600.0 1
0.2%
577.8 1
0.2%
575.0 1
0.2%

전기순이익금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.13
Minimum-49
Maximum246
Zeros11
Zeros (%)2.2%
Negative15
Negative (%)3.0%
Memory size4.5 KiB
2023-12-12T18:57:03.436520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-49
5-th percentile0
Q12
median4
Q37
95-th percentile18.05
Maximum246
Range295
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.857459
Coefficient of variation (CV)2.2605968
Kurtosis183.91019
Mean6.13
Median Absolute Deviation (MAD)2
Skewness11.109944
Sum3065
Variance192.02916
MonotonicityNot monotonic
2023-12-12T18:57:03.603072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2 95
19.0%
1 66
13.2%
3 61
12.2%
4 49
9.8%
5 37
 
7.4%
6 35
 
7.0%
7 19
 
3.8%
8 18
 
3.6%
11 12
 
2.4%
9 11
 
2.2%
Other values (38) 97
19.4%
ValueCountFrequency (%)
-49 1
 
0.2%
-31 1
 
0.2%
-29 1
 
0.2%
-8 1
 
0.2%
-7 1
 
0.2%
-4 3
 
0.6%
-3 4
 
0.8%
-2 1
 
0.2%
-1 2
 
0.4%
0 11
2.2%
ValueCountFrequency (%)
246 1
0.2%
93 1
0.2%
57 1
0.2%
45 1
0.2%
42 1
0.2%
39 2
0.4%
38 1
0.2%
36 1
0.2%
34 1
0.2%
32 2
0.4%

당기순이익금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.12
Minimum-44
Maximum91
Zeros8
Zeros (%)1.6%
Negative9
Negative (%)1.8%
Memory size4.5 KiB
2023-12-12T18:57:03.743449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-44
5-th percentile1
Q12
median4
Q38
95-th percentile25
Maximum91
Range135
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.691971
Coefficient of variation (CV)1.5016813
Kurtosis21.264482
Mean7.12
Median Absolute Deviation (MAD)2
Skewness3.0283401
Sum3560
Variance114.31824
MonotonicityNot monotonic
2023-12-12T18:57:03.878252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2 82
16.4%
3 65
13.0%
5 54
10.8%
4 50
10.0%
6 41
 
8.2%
1 37
 
7.4%
8 22
 
4.4%
9 15
 
3.0%
7 14
 
2.8%
12 12
 
2.4%
Other values (35) 108
21.6%
ValueCountFrequency (%)
-44 1
 
0.2%
-41 1
 
0.2%
-38 1
 
0.2%
-2 1
 
0.2%
-1 5
 
1.0%
0 8
 
1.6%
1 37
7.4%
2 82
16.4%
3 65
13.0%
4 50
10.0%
ValueCountFrequency (%)
91 1
0.2%
80 1
0.2%
77 1
0.2%
68 1
0.2%
61 1
0.2%
58 1
0.2%
46 1
0.2%
38 1
0.2%
37 1
0.2%
35 1
0.2%

매입채무금액
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.246
Minimum0
Maximum645
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T18:57:04.049450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110.75
median23
Q345
95-th percentile138.1
Maximum645
Range645
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation61.782973
Coefficient of variation (CV)1.4624573
Kurtosis25.294519
Mean42.246
Median Absolute Deviation (MAD)16
Skewness4.1215225
Sum21123
Variance3817.1358
MonotonicityNot monotonic
2023-12-12T18:57:04.209599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 18
 
3.6%
2 15
 
3.0%
5 15
 
3.0%
3 14
 
2.8%
6 14
 
2.8%
19 14
 
2.8%
11 13
 
2.6%
15 13
 
2.6%
17 11
 
2.2%
13 11
 
2.2%
Other values (116) 362
72.4%
ValueCountFrequency (%)
0 8
1.6%
1 8
1.6%
2 15
3.0%
3 14
2.8%
4 9
1.8%
5 15
3.0%
6 14
2.8%
7 18
3.6%
8 7
 
1.4%
9 6
 
1.2%
ValueCountFrequency (%)
645 1
0.2%
411 1
0.2%
375 1
0.2%
350 1
0.2%
326 1
0.2%
282 1
0.2%
270 1
0.2%
265 1
0.2%
258 1
0.2%
257 1
0.2%

Interactions

2023-12-12T18:57:00.602608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:57.100213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:57.802746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:58.555039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:59.237653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/