Overview

Dataset statistics

Number of variables176
Number of observations50
Missing cells2904
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.4 KiB
Average record size in memory1.5 KiB

Variable types

Categorical108
Text2
Numeric66

Alerts

기준년도 has constant value ""Constant
3년가중평균매출금액총이익율 is highly imbalanced (72.9%)Imbalance
3년가중평균영업이익율 is highly imbalanced (72.9%)Imbalance
3년가중평균당기순이익율 is highly imbalanced (72.9%)Imbalance
3년가중평균매출원가율 is highly imbalanced (72.9%)Imbalance
3년가중평균판관비율 is highly imbalanced (72.9%)Imbalance
3년가중평균자산수익율 is highly imbalanced (72.9%)Imbalance
3년가중평균자산자본이익율 is highly imbalanced (72.9%)Imbalance
3년가중평균매출금액대비인건비비율 is highly imbalanced (72.9%)Imbalance
3년가중평균이자보상비율 is highly imbalanced (72.9%)Imbalance
3년가중평균적립금비율 is highly imbalanced (72.9%)Imbalance
3년가중평균차입금의존도비율 is highly imbalanced (71.5%)Imbalance
3년가중평균차입금비율 is highly imbalanced (71.5%)Imbalance
3년가중평균부채비율 is highly imbalanced (72.9%)Imbalance
3년가중평균유보율 is highly imbalanced (72.9%)Imbalance
3년가중평균유동비율 is highly imbalanced (72.9%)Imbalance
3년가중평균당좌비율 is highly imbalanced (72.9%)Imbalance
3년가중평균재고자산대비매입채무비율 is highly imbalanced (72.9%)Imbalance
3년가중평균매입채무대비매출채권비율 is highly imbalanced (72.9%)Imbalance
3년가중평균총자본대비순운전자본비율 is highly imbalanced (72.9%)Imbalance
3년가중평균매출금액증가율 is highly imbalanced (72.9%)Imbalance
3년가중평균영업이익증가율 is highly imbalanced (72.9%)Imbalance
3년가중평균순이익증가율 is highly imbalanced (72.9%)Imbalance
3년가중평균DPS증가율 is highly imbalanced (85.9%)Imbalance
3년가중평균이익잉여금증가율 is highly imbalanced (72.9%)Imbalance
3년가중평균총자산회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균총부채회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균총자본회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균자본금회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균유형자산회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균재고자산회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균매입채무회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균매출채권회전율 is highly imbalanced (72.9%)Imbalance
3년가중평균자본집약도비율 is highly imbalanced (75.8%)Imbalance
3년가중평균종업원1인당인건비증가율 is highly imbalanced (78.9%)Imbalance
3년가중평균종업원1인당매출금액증가율 is highly imbalanced (78.9%)Imbalance
3년가중평균감가상각율 is highly imbalanced (72.9%)Imbalance
3년가중평균총비용대비감가상각율 is highly imbalanced (72.9%)Imbalance
3년가중평균매출금액대비금융비용부담율 is highly imbalanced (72.9%)Imbalance
3년가중평균배당총액증가율 is highly imbalanced (85.9%)Imbalance
3년가중평균잉여금배당액증가차이율 is highly imbalanced (85.9%)Imbalance
3년가중평균매출금액대비운전자금비율 is highly imbalanced (72.9%)Imbalance
3년가중평균배당성향율 is highly imbalanced (69.7%)Imbalance
5년가중평균매출금액총이익율 is highly imbalanced (72.9%)Imbalance
5년가중평균영업이익율 is highly imbalanced (72.9%)Imbalance
5년가중평균당기순이익율 is highly imbalanced (72.9%)Imbalance
5년가중평균매출원가율 is highly imbalanced (72.9%)Imbalance
5년가중평균판관비율 is highly imbalanced (72.9%)Imbalance
5년가중평균자산수익율 is highly imbalanced (72.9%)Imbalance
5년가중평균자산자본이익율 is highly imbalanced (72.9%)Imbalance
5년가중평균매출금액대비인건비비율 is highly imbalanced (72.9%)Imbalance
5년가중평균이자보상비율 is highly imbalanced (72.9%)Imbalance
5년가중평균적립금비율 is highly imbalanced (72.9%)Imbalance
5년가중평균차입금의존도비율 is highly imbalanced (72.9%)Imbalance
5년가중평균차입금비율 is highly imbalanced (72.9%)Imbalance
5년가중평균부채비율 is highly imbalanced (72.9%)Imbalance
5년가중평균유보율 is highly imbalanced (72.9%)Imbalance
5년가중평균유동비율 is highly imbalanced (72.9%)Imbalance
5년가중평균당좌비율 is highly imbalanced (72.9%)Imbalance
5년가중평균재고자산대비매입채무비율 is highly imbalanced (72.9%)Imbalance
5년가중평균매입채무대비매출채권비율 is highly imbalanced (72.9%)Imbalance
5년가중평균총자본대비순운전자본비율 is highly imbalanced (72.9%)Imbalance
5년가중평균매출금액증가율 is highly imbalanced (72.9%)Imbalance
5년가중평균영업이익증가율 is highly imbalanced (72.9%)Imbalance
5년가중평균순이익증가율 is highly imbalanced (72.9%)Imbalance
5년가중평균DPS증가율 is highly imbalanced (85.9%)Imbalance
5년가중평균이익잉여금증가율 is highly imbalanced (72.9%)Imbalance
5년가중평균총자산회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균총부채회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균총자본회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균자본금회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균유형자산회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균재고자산회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균매입채무회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균매출채권회전율 is highly imbalanced (72.9%)Imbalance
5년가중평균자본집약도비율 is highly imbalanced (82.2%)Imbalance
5년가중평균종업원1인당인건비증가율 is highly imbalanced (82.2%)Imbalance
5년가중평균종업원1인당매출금액증가율 is highly imbalanced (82.2%)Imbalance
5년가중평균감가상각율 is highly imbalanced (72.9%)Imbalance
5년가중평균총비용대비감가상각율 is highly imbalanced (72.9%)Imbalance
5년가중평균매출금액대비금융비용부담율 is highly imbalanced (72.9%)Imbalance
5년가중평균배당총액증가율 is highly imbalanced (85.9%)Imbalance
5년가중평균잉여금배당액증가차이율 is highly imbalanced (85.9%)Imbalance
5년가중평균매출금액대비운전자금비율 is highly imbalanced (72.9%)Imbalance
5년가중평균배당성향율 is highly imbalanced (69.7%)Imbalance
매출금액대비인건비비율기울기값 is highly imbalanced (69.1%)Imbalance
매출금액증가율기울기값 is highly imbalanced (72.9%)Imbalance
영업이익증가율기울기값 is highly imbalanced (72.9%)Imbalance
순이익증가율기울기값 is highly imbalanced (72.9%)Imbalance
DPS증가율기울기값 is highly imbalanced (85.9%)Imbalance
이익잉여금증가율기울기값 is highly imbalanced (72.9%)Imbalance
자본집약도비율기울기값 is highly imbalanced (72.9%)Imbalance
종업원1인당인건비증가율기울기값 is highly imbalanced (75.8%)Imbalance
종업원1인당매출금액증가율기울기값 is highly imbalanced (75.8%)Imbalance
배당총액증가율기울기값 is highly imbalanced (85.9%)Imbalance
이익잉여금배당액증가율차기울기값 is highly imbalanced (85.9%)Imbalance
매출금액대비운전자금비율기울기값 is highly imbalanced (67.9%)Imbalance
배당율기울기값 is highly imbalanced (67.9%)Imbalance
차입금의존도비율 is highly imbalanced (69.1%)Imbalance
차입금비율 is highly imbalanced (69.1%)Imbalance
DPS증가율 is highly imbalanced (85.9%)Imbalance
종업원1인당인건비증가율 is highly imbalanced (72.9%)Imbalance
종업원1인당매출금액증가율 is highly imbalanced (72.9%)Imbalance
배당총액증가율 is highly imbalanced (82.2%)Imbalance
가산금리비율 is highly imbalanced (82.2%)Imbalance
배당성향율 is highly imbalanced (67.9%)Imbalance
3년순영업자본회전율 is highly imbalanced (72.9%)Imbalance
5년순영업자본회전율 is highly imbalanced (72.9%)Imbalance
매출금액총이익율기울기값 has 44 (88.0%) missing valuesMissing
영업이익율기울기값 has 44 (88.0%) missing valuesMissing
당기순이익율기울기값 has 44 (88.0%) missing valuesMissing
매출원가율기울기값 has 44 (88.0%) missing valuesMissing
판관비율기울기값 has 44 (88.0%) missing valuesMissing
자산수익율기울기값 has 44 (88.0%) missing valuesMissing
자기자본이익율기울기값 has 44 (88.0%) missing valuesMissing
이자보상비율기울기값 has 44 (88.0%) missing valuesMissing
적립금비율기울기값 has 44 (88.0%) missing valuesMissing
차입금의존도기울기값 has 44 (88.0%) missing valuesMissing
차입금비율기울기값 has 44 (88.0%) missing valuesMissing
부채비율기울기값 has 44 (88.0%) missing valuesMissing
유보율기울기값 has 44 (88.0%) missing valuesMissing
유동비율기울기값 has 44 (88.0%) missing valuesMissing
당좌비율기울기값 has 44 (88.0%) missing valuesMissing
재고자산대비매입채무비율기울기값 has 44 (88.0%) missing valuesMissing
매입채무대비매출채권비율기울기값 has 44 (88.0%) missing valuesMissing
총자본대비순운전자본비율기울기값 has 44 (88.0%) missing valuesMissing
총자산회전율기울기값 has 44 (88.0%) missing valuesMissing
총부채회전율기울기값 has 44 (88.0%) missing valuesMissing
총자본회전율기울기값 has 44 (88.0%) missing valuesMissing
자본금회전율기울기값 has 44 (88.0%) missing valuesMissing
유형자산회전율기울기값 has 44 (88.0%) missing valuesMissing
재고자산회전율기울기값 has 44 (88.0%) missing valuesMissing
매입채무회전율기울기값 has 44 (88.0%) missing valuesMissing
매출채권회전율기울기값 has 44 (88.0%) missing valuesMissing
감가상각율기울기값 has 44 (88.0%) missing valuesMissing
총비용대비감가상각비율기울기값 has 44 (88.0%) missing valuesMissing
매출금액대비금융비용부담율기울기값 has 44 (88.0%) missing valuesMissing
매출금액총이익율 has 44 (88.0%) missing valuesMissing
영업이익율 has 44 (88.0%) missing valuesMissing
당기순이익율 has 44 (88.0%) missing valuesMissing
매출원가율 has 44 (88.0%) missing valuesMissing
판관비율 has 44 (88.0%) missing valuesMissing
자산수익율 has 44 (88.0%) missing valuesMissing
자기자본이익율 has 44 (88.0%) missing valuesMissing
매출금액대비인건비비율 has 44 (88.0%) missing valuesMissing
이자보상비율 has 44 (88.0%) missing valuesMissing
적립금비율 has 44 (88.0%) missing valuesMissing
부채비율 has 44 (88.0%) missing valuesMissing
유보율 has 44 (88.0%) missing valuesMissing
유동비율 has 44 (88.0%) missing valuesMissing
당좌비율 has 44 (88.0%) missing valuesMissing
재고자산대비매입채무비율 has 44 (88.0%) missing valuesMissing
매입채무대비매출채권비율 has 44 (88.0%) missing valuesMissing
총자본대비순운전자본비율 has 44 (88.0%) missing valuesMissing
매출금액증가율 has 44 (88.0%) missing valuesMissing
영업이익증가율 has 44 (88.0%) missing valuesMissing
순이익증가율 has 44 (88.0%) missing valuesMissing
이익잉여금증가율 has 44 (88.0%) missing valuesMissing
총자산회전율 has 44 (88.0%) missing valuesMissing
총부채회전율 has 44 (88.0%) missing valuesMissing
총자본회전율 has 44 (88.0%) missing valuesMissing
자본금회전율 has 44 (88.0%) missing valuesMissing
유형자산회전율 has 44 (88.0%) missing valuesMissing
재고자산회전율 has 44 (88.0%) missing valuesMissing
매입채무회전율 has 44 (88.0%) missing valuesMissing
매출채권회전율 has 44 (88.0%) missing valuesMissing
자본집약도비율 has 44 (88.0%) missing valuesMissing
감가상각율 has 44 (88.0%) missing valuesMissing
총비용대비감가상각비율 has 44 (88.0%) missing valuesMissing
매출금액대비금융비용부담율 has 44 (88.0%) missing valuesMissing
매출금액대비운전자금비율 has 44 (88.0%) missing valuesMissing
순영업자본회전율 has 44 (88.0%) missing valuesMissing
순영업자본회전율기울기값 has 44 (88.0%) missing valuesMissing
우편번호 has 44 (88.0%) missing valuesMissing
주식종목코드 has unique valuesUnique
주식종목명 has unique valuesUnique
이자보상비율기울기값 has 1 (2.0%) zerosZeros
차입금의존도기울기값 has 1 (2.0%) zerosZeros
차입금비율기울기값 has 1 (2.0%) zerosZeros
이자보상비율 has 1 (2.0%) zerosZeros
매출금액대비운전자금비율 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:07:45.445512
Analysis finished2023-12-10 13:07:48.047915
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2018
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 50
100.0%

Length

2023-12-10T22:07:48.325171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:48.439446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 50
100.0%

주식종목코드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T22:07:48.702388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters350
Distinct characters12
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowA047770
2nd rowA263690
3rd rowA285690
4th rowA094800
5th rowA277630
ValueCountFrequency (%)
a047770 1
 
2.0%
a233160 1
 
2.0%
a287300 1
 
2.0%
a309170 1
 
2.0%
a114460 1
 
2.0%
q520007 1
 
2.0%
a245340 1
 
2.0%
a205720 1
 
2.0%
a307020 1
 
2.0%
a252650 1
 
2.0%
Other values (40) 40
80.0%
2023-12-10T22:07:49.165533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
26.3%
A 42
12.0%
2 37
10.6%
5 30
 
8.6%
7 25
 
7.1%
1 24
 
6.9%
6 22
 
6.3%
3 22
 
6.3%
9 20
 
5.7%
4 14
 
4.0%
Other values (2) 22
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
85.7%
Uppercase Letter 50
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
30.7%
2 37
12.3%
5 30
 
10.0%
7 25
 
8.3%
1 24
 
8.0%
6 22
 
7.3%
3 22
 
7.3%
9 20
 
6.7%
4 14
 
4.7%
8 14
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 42
84.0%
Q 8
 
16.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
85.7%
Latin 50
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
30.7%
2 37
12.3%
5 30
 
10.0%
7 25
 
8.3%
1 24
 
8.0%
6 22
 
7.3%
3 22
 
7.3%
9 20
 
6.7%
4 14
 
4.7%
8 14
 
4.7%
Latin
ValueCountFrequency (%)
A 42
84.0%
Q 8
 
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
26.3%
A 42
12.0%
2 37
10.6%
5 30
 
8.6%
7 25
 
7.1%
1 24
 
6.9%
6 22
 
6.3%
3 22
 
6.3%
9 20
 
5.7%
4 14
 
4.0%
Other values (2) 22
 
6.3%

주식종목명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T22:07:49.546243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length13.42
Min length3

Characters and Unicode

Total characters671
Distinct characters155
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row코데즈컴바인
2nd row디알젬
3rd rowFOCUS ESG리더스
4th row맵스리얼티1
5th rowTIGER 코스피
ValueCountFrequency (%)
kodex 8
 
6.7%
tiger 7
 
5.9%
etn 5
 
4.2%
kindex 5
 
4.2%
arirang 4
 
3.4%
인버스 4
 
3.4%
선물 3
 
2.5%
h 3
 
2.5%
kbstar 3
 
2.5%
etn(h 3
 
2.5%
Other values (64) 74
62.2%
2023-12-10T22:07:50.015075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
10.3%
E 36
 
5.4%
R 28
 
4.2%
T 27
 
4.0%
0 27
 
4.0%
K 22
 
3.3%
I 22
 
3.3%
X 21
 
3.1%
스 18
 
2.7%
N 18
 
2.7%
Other values (145) 383
57.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 279
41.6%
Other Letter 234
34.9%
Space Separator 69
 
10.3%
Decimal Number 53
 
7.9%
Lowercase Letter 16
 
2.4%
Close Punctuation 8
 
1.2%
Open Punctuation 8
 
1.2%
Other Punctuation 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 18
 
7.7%
버 11
 
4.7%
선 10
 
4.3%
물 10
 
4.3%
인 8
 
3.4%
리 6
 
2.6%
합 5
 
2.1%
성 5
 
2.1%
신 4
 
1.7%
대 4
 
1.7%
Other values (98) 153
65.4%
Uppercase Letter
ValueCountFrequency (%)
E 36
12.9%
R 28
10.0%
T 27
9.7%
K 22
 
7.9%
I 22
 
7.9%
X 21
 
7.5%
N 18
 
6.5%
A 16
 
5.7%
O 15
 
5.4%
G 13
 
4.7%
Other values (12) 61
21.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
12.5%
e 2
12.5%
n 2
12.5%
o 1
 
6.2%
r 1
 
6.2%
u 1
 
6.2%
l 1
 
6.2%
i 1
 
6.2%
t 1
 
6.2%
y 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
0 27
50.9%
2 11
20.8%
3 5
 
9.4%
5 5
 
9.4%
1 3
 
5.7%
4 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
% 1
33.3%
Space Separator
ValueCountFrequency (%)
69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 295
44.0%
Hangul 234
34.9%
Common 142
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 18
 
7.7%
버 11
 
4.7%
선 10
 
4.3%
물 10
 
4.3%
인 8
 
3.4%
리 6
 
2.6%
합 5
 
2.1%
성 5
 
2.1%
신 4
 
1.7%
대 4
 
1.7%
Other values (98) 153
65.4%
Latin
ValueCountFrequency (%)
E 36
12.2%
R 28
 
9.5%
T 27
 
9.2%
K 22
 
7.5%
I 22
 
7.5%
X 21
 
7.1%
N 18
 
6.1%
A 16
 
5.4%
O 15
 
5.1%
G 13
 
4.4%
Other values (25) 77
26.1%
Common
ValueCountFrequency (%)
69
48.6%
0 27
 
19.0%
2 11
 
7.7%
) 8
 
5.6%
( 8
 
5.6%
3 5
 
3.5%
5 5
 
3.5%
1 3
 
2.1%
& 2
 
1.4%
4 2
 
1.4%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
65.1%
Hangul 234
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
15.8%
E 36
 
8.2%
R 28
 
6.4%
T 27
 
6.2%
0 27
 
6.2%
K 22
 
5.0%
I 22
 
5.0%
X 21
 
4.8%
N 18
 
4.1%
A 16
 
3.7%
Other values (37) 151
34.6%
Hangul
ValueCountFrequency (%)
스 18
 
7.7%
버 11
 
4.7%
선 10
 
4.3%
물 10
 
4.3%
인 8
 
3.4%
리 6
 
2.6%
합 5
 
2.1%
성 5
 
2.1%
신 4
 
1.7%
대 4
 
1.7%
Other values (98) 153
65.4%

3년가중평균매출금액총이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
47.91
 
1
28.46
 
1
2.33
 
1
23.36
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row47.91
2nd row28.46
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
47.91 1
 
2.0%
28.46 1
 
2.0%
2.33 1
 
2.0%
23.36 1
 
2.0%
56.61 1
 
2.0%

Length

2023-12-10T22:07:50.204621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:50.335318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
47.91 1
 
2.0%
28.46 1
 
2.0%
2.33 1
 
2.0%
23.36 1
 
2.0%
56.61 1
 
2.0%

3년가중평균영업이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
12.38
 
1
7.8
 
1
-3.82
 
1
11.45
 
1

Length

Max length5
Median length4
Mean length4.06
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row12.38
2nd row7.8
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
12.38 1
 
2.0%
7.8 1
 
2.0%
-3.82 1
 
2.0%
11.45 1
 
2.0%
11.77 1
 
2.0%

Length

2023-12-10T22:07:50.465825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:50.589388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
12.38 1
 
2.0%
7.8 1
 
2.0%
3.82 1
 
2.0%
11.45 1
 
2.0%
11.77 1
 
2.0%

3년가중평균당기순이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
10.87
 
1
6.96
 
1
-4.96
 
1
8.12
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row10.87
2nd row6.96
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
10.87 1
 
2.0%
6.96 1
 
2.0%
-4.96 1
 
2.0%
8.12 1
 
2.0%
41.85 1
 
2.0%

Length

2023-12-10T22:07:50.708187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:50.875604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
10.87 1
 
2.0%
6.96 1
 
2.0%
4.96 1
 
2.0%
8.12 1
 
2.0%
41.85 1
 
2.0%

3년가중평균매출원가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
52.09
 
1
71.54
 
1
97.67
 
1
76.64
 
1

Length

Max length5
Median length4
Mean length4.1
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row52.09
2nd row71.54
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
52.09 1
 
2.0%
71.54 1
 
2.0%
97.67 1
 
2.0%
76.64 1
 
2.0%
43.39 1
 
2.0%

Length

2023-12-10T22:07:51.027043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:51.168300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
52.09 1
 
2.0%
71.54 1
 
2.0%
97.67 1
 
2.0%
76.64 1
 
2.0%
43.39 1
 
2.0%

3년가중평균판관비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
35.53
 
1
20.66
 
1
6.15
 
1
11.91
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row35.53
2nd row20.66
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
35.53 1
 
2.0%
20.66 1
 
2.0%
6.15 1
 
2.0%
11.91 1
 
2.0%
44.84 1
 
2.0%

Length

2023-12-10T22:07:51.321153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:51.458865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
35.53 1
 
2.0%
20.66 1
 
2.0%
6.15 1
 
2.0%
11.91 1
 
2.0%
44.84 1
 
2.0%

3년가중평균자산수익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
5.84
 
1
9.09
 
1
-8.42
 
1
8.73
 
1

Length

Max length5
Median length4
Mean length4.04
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row5.84
2nd row9.09
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
5.84 1
 
2.0%
9.09 1
 
2.0%
-8.42 1
 
2.0%
8.73 1
 
2.0%
17.43 1
 
2.0%

Length

2023-12-10T22:07:51.674298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:51.826470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
5.84 1
 
2.0%
9.09 1
 
2.0%
8.42 1
 
2.0%
8.73 1
 
2.0%
17.43 1
 
2.0%

3년가중평균자산자본이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
8.69
 
1
17.2
 
1
-40.5
 
1
16.98
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row8.69
2nd row17.2
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
8.69 1
 
2.0%
17.2 1
 
2.0%
-40.5 1
 
2.0%
16.98 1
 
2.0%
20.59 1
 
2.0%

Length

2023-12-10T22:07:51.982855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:52.124923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
8.69 1
 
2.0%
17.2 1
 
2.0%
40.5 1
 
2.0%
16.98 1
 
2.0%
20.59 1
 
2.0%

3년가중평균매출금액대비인건비비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
3.93
 
1
8.02
 
1
1.9
 
1
3.84
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row3.93
2nd row8.02
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
3.93 1
 
2.0%
8.02 1
 
2.0%
1.9 1
 
2.0%
3.84 1
 
2.0%
17.61 1
 
2.0%

Length

2023-12-10T22:07:52.294331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:52.439042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
3.93 1
 
2.0%
8.02 1
 
2.0%
1.9 1
 
2.0%
3.84 1
 
2.0%
17.61 1
 
2.0%

3년가중평균이자보상비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
2.36
 
1
8.07
 
1
2.93
 
1
12.08
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row2.36
2nd row8.07
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
2.36 1
 
2.0%
8.07 1
 
2.0%
2.93 1
 
2.0%
12.08 1
 
2.0%
0.0 1
 
2.0%

Length

2023-12-10T22:07:52.644214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:52.831089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
2.36 1
 
2.0%
8.07 1
 
2.0%
2.93 1
 
2.0%
12.08 1
 
2.0%
0.0 1
 
2.0%

3년가중평균적립금비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
44.32
 
1
71.56
 
1
103.09
 
1
93.47
 
1

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row44.32
2nd row71.56
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
44.32 1
 
2.0%
71.56 1
 
2.0%
103.09 1
 
2.0%
93.47 1
 
2.0%
95.31 1
 
2.0%

Length

2023-12-10T22:07:52.977317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:53.138274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
44.32 1
 
2.0%
71.56 1
 
2.0%
103.09 1
 
2.0%
93.47 1
 
2.0%
95.31 1
 
2.0%

3년가중평균차입금의존도비율
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.0
 
2
11.24
 
1
30.09
 
1
31.96
 
1

Length

Max length5
Median length4
Mean length4.02
Min length3

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row0.0
2nd row11.24
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.0 2
 
4.0%
11.24 1
 
2.0%
30.09 1
 
2.0%
31.96 1
 
2.0%

Length

2023-12-10T22:07:53.273251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:53.391204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.0 2
 
4.0%
11.24 1
 
2.0%
30.09 1
 
2.0%
31.96 1
 
2.0%

3년가중평균차입금비율
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.0
 
2
26.2
 
1
114.16
 
1
65.88
 
1

Length

Max length6
Median length4
Mean length4.02
Min length3

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row0.0
2nd row26.2
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.0 2
 
4.0%
26.2 1
 
2.0%
114.16 1
 
2.0%
65.88 1
 
2.0%

Length

2023-12-10T22:07:53.528626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:53.638537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.0 2
 
4.0%
26.2 1
 
2.0%
114.16 1
 
2.0%
65.88 1
 
2.0%

3년가중평균부채비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
50.8
 
1
102.59
 
1
268.37
 
1
103.67
 
1

Length

Max length6
Median length4
Mean length4.14
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row50.8
2nd row102.59
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
50.8 1
 
2.0%
102.59 1
 
2.0%
268.37 1
 
2.0%
103.67 1
 
2.0%
15.41 1
 
2.0%

Length

2023-12-10T22:07:53.764294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:53.887093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
50.8 1
 
2.0%
102.59 1
 
2.0%
268.37 1
 
2.0%
103.67 1
 
2.0%
15.41 1
 
2.0%

3년가중평균유보율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
280.14
 
1
294.73
 
1
2150.7
 
1
2013.63
 
1

Length

Max length7
Median length4
Mean length4.24
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row280.14
2nd row294.73
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
280.14 1
 
2.0%
294.73 1
 
2.0%
2150.7 1
 
2.0%
2013.63 1
 
2.0%
1269.84 1
 
2.0%

Length

2023-12-10T22:07:54.010251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:54.166595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
280.14 1
 
2.0%
294.73 1
 
2.0%
2150.7 1
 
2.0%
2013.63 1
 
2.0%
1269.84 1
 
2.0%

3년가중평균유동비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
150.04
 
1
202.35
 
1
96.99
 
1
154.95
 
1

Length

Max length6
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row150.04
2nd row202.35
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
150.04 1
 
2.0%
202.35 1
 
2.0%
96.99 1
 
2.0%
154.95 1
 
2.0%
637.92 1
 
2.0%

Length

2023-12-10T22:07:54.306502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:54.436109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
150.04 1
 
2.0%
202.35 1
 
2.0%
96.99 1
 
2.0%
154.95 1
 
2.0%
637.92 1
 
2.0%

3년가중평균당좌비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
116.16
 
1
119.23
 
1
76.17
 
1
122.45
 
1

Length

Max length6
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row116.16
2nd row119.23
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
116.16 1
 
2.0%
119.23 1
 
2.0%
76.17 1
 
2.0%
122.45 1
 
2.0%
485.57 1
 
2.0%

Length

2023-12-10T22:07:54.597343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:54.748357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
116.16 1
 
2.0%
119.23 1
 
2.0%
76.17 1
 
2.0%
122.45 1
 
2.0%
485.57 1
 
2.0%

3년가중평균재고자산대비매입채무비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
31.79
 
1
66.34
 
1
278.04
 
1
35.11
 
1

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row31.79
2nd row66.34
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
31.79 1
 
2.0%
66.34 1
 
2.0%
278.04 1
 
2.0%
35.11 1
 
2.0%
11.67 1
 
2.0%

Length

2023-12-10T22:07:54.915260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:55.064696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
31.79 1
 
2.0%
66.34 1
 
2.0%
278.04 1
 
2.0%
35.11 1
 
2.0%
11.67 1
 
2.0%

3년가중평균매입채무대비매출채권비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
358.18
 
1
109.79
 
1
51.29
 
1
559.74
 
1

Length

Max length7
Median length4
Mean length4.2
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row358.18
2nd row109.79
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
358.18 1
 
2.0%
109.79 1
 
2.0%
51.29 1
 
2.0%
559.74 1
 
2.0%
1672.26 1
 
2.0%

Length

2023-12-10T22:07:55.223212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:55.367557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
358.18 1
 
2.0%
109.79 1
 
2.0%
51.29 1
 
2.0%
559.74 1
 
2.0%
1672.26 1
 
2.0%

3년가중평균총자본대비순운전자본비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
7.07
 
1
54.63
 
1
-13.4
 
1
36.28
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row7.07
2nd row54.63
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
7.07 1
 
2.0%
54.63 1
 
2.0%
-13.4 1
 
2.0%
36.28 1
 
2.0%
47.86 1
 
2.0%

Length

2023-12-10T22:07:55.513396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:55.636078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
7.07 1
 
2.0%
54.63 1
 
2.0%
13.4 1
 
2.0%
36.28 1
 
2.0%
47.86 1
 
2.0%

3년가중평균매출금액증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
27.85
 
1
22.27
 
1
2.14
 
1
28.48
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row27.85
2nd row22.27
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
27.85 1
 
2.0%
22.27 1
 
2.0%
2.14 1
 
2.0%
28.48 1
 
2.0%
16.93 1
 
2.0%

Length

2023-12-10T22:07:55.796517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:55.939557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
27.85 1
 
2.0%
22.27 1
 
2.0%
2.14 1
 
2.0%
28.48 1
 
2.0%
16.93 1
 
2.0%

3년가중평균영업이익증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
77.24
 
1
24.92
 
1
1463.94
 
1
80.31
 
1

Length

Max length7
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row77.24
2nd row24.92
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
77.24 1
 
2.0%
24.92 1
 
2.0%
1463.94 1
 
2.0%
80.31 1
 
2.0%
164.89 1
 
2.0%

Length

2023-12-10T22:07:56.104576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:56.255109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
77.24 1
 
2.0%
24.92 1
 
2.0%
1463.94 1
 
2.0%
80.31 1
 
2.0%
164.89 1
 
2.0%

3년가중평균순이익증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
28.59
 
1
361.65
 
1
213.04
 
1
-399.94
 
1

Length

Max length7
Median length4
Mean length4.2
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row28.59
2nd row361.65
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
28.59 1
 
2.0%
361.65 1
 
2.0%
213.04 1
 
2.0%
-399.94 1
 
2.0%
590.54 1
 
2.0%

Length

2023-12-10T22:07:56.421078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:56.582792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
28.59 1
 
2.0%
361.65 1
 
2.0%
213.04 1
 
2.0%
399.94 1
 
2.0%
590.54 1
 
2.0%

3년가중평균DPS증가율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
-24.76
 
1

Length

Max length6
Median length4
Mean length4.04
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
-24.76 1
 
2.0%

Length

2023-12-10T22:07:56.723944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:56.875340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
24.76 1
 
2.0%

3년가중평균이익잉여금증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-6.4
 
1
98.92
 
1
-104.72
 
1
39.93
 
1

Length

Max length7
Median length4
Mean length4.12
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-6.4
2nd row98.92
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-6.4 1
 
2.0%
98.92 1
 
2.0%
-104.72 1
 
2.0%
39.93 1
 
2.0%
31.96 1
 
2.0%

Length

2023-12-10T22:07:56.997725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:57.131285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
6.4 1
 
2.0%
98.92 1
 
2.0%
104.72 1
 
2.0%
39.93 1
 
2.0%
31.96 1
 
2.0%

3년가중평균총자산회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
63.29
 
1
145.96
 
1
194.92
 
1
117.86
 
1

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row63.29
2nd row145.96
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
63.29 1
 
2.0%
145.96 1
 
2.0%
194.92 1
 
2.0%
117.86 1
 
2.0%
57.22 1
 
2.0%

Length

2023-12-10T22:07:57.296413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:57.416808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
63.29 1
 
2.0%
145.96 1
 
2.0%
194.92 1
 
2.0%
117.86 1
 
2.0%
57.22 1
 
2.0%

3년가중평균총부채회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
269.04
 
1
274.24
 
1
269.46
 
1
238.07
 
1

Length

Max length6
Median length4
Mean length4.2
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row269.04
2nd row274.24
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
269.04 1
 
2.0%
274.24 1
 
2.0%
269.46 1
 
2.0%
238.07 1
 
2.0%
484.19 1
 
2.0%

Length

2023-12-10T22:07:57.539252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:57.976167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
269.04 1
 
2.0%
274.24 1
 
2.0%
269.46 1
 
2.0%
238.07 1
 
2.0%
484.19 1
 
2.0%

3년가중평균총자본회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
87.33
 
1
358.85
 
1
715.64
 
1
235.22
 
1

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row87.33
2nd row358.85
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
87.33 1
 
2.0%
358.85 1
 
2.0%
715.64 1
 
2.0%
235.22 1
 
2.0%
65.19 1
 
2.0%

Length

2023-12-10T22:07:58.132401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:58.287159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
87.33 1
 
2.0%
358.85 1
 
2.0%
715.64 1
 
2.0%
235.22 1
 
2.0%
65.19 1
 
2.0%

3년가중평균자본금회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
129.34
 
1
1110.44
 
1
15305.39
 
1
4427.33
 
1

Length

Max length8
Median length4
Mean length4.28
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row129.34
2nd row1110.44
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
129.34 1
 
2.0%
1110.44 1
 
2.0%
15305.39 1
 
2.0%
4427.33 1
 
2.0%
790.28 1
 
2.0%

Length

2023-12-10T22:07:58.482147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:58.636716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
129.34 1
 
2.0%
1110.44 1
 
2.0%
15305.39 1
 
2.0%
4427.33 1
 
2.0%
790.28 1
 
2.0%

3년가중평균유형자산회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
1317.85
 
1
522.57
 
1
540.65
 
1
305.25
 
1

Length

Max length7
Median length4
Mean length4.22
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row1317.85
2nd row522.57
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
1317.85 1
 
2.0%
522.57 1
 
2.0%
540.65 1
 
2.0%
305.25 1
 
2.0%
223.47 1
 
2.0%

Length

2023-12-10T22:07:58.783607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:58.920470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
1317.85 1
 
2.0%
522.57 1
 
2.0%
540.65 1
 
2.0%
305.25 1
 
2.0%
223.47 1
 
2.0%

3년가중평균재고자산회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
1034.75
 
1
518.95
 
1
1330.98
 
1
1845.16
 
1

Length

Max length7
Median length4
Mean length4.26
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row1034.75
2nd row518.95
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
1034.75 1
 
2.0%
518.95 1
 
2.0%
1330.98 1
 
2.0%
1845.16 1
 
2.0%
449.82 1
 
2.0%

Length

2023-12-10T22:07:59.065012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:59.193747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
1034.75 1
 
2.0%
518.95 1
 
2.0%
1330.98 1
 
2.0%
1845.16 1
 
2.0%
449.82 1
 
2.0%

3년가중평균매입채무회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
3255.66
 
1
832.75
 
1
628.28
 
1
12479.85
 
1

Length

Max length8
Median length4
Mean length4.28
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row3255.66
2nd row832.75
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
3255.66 1
 
2.0%
832.75 1
 
2.0%
628.28 1
 
2.0%
12479.85 1
 
2.0%
4105.63 1
 
2.0%

Length

2023-12-10T22:07:59.381127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:59.534127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
3255.66 1
 
2.0%
832.75 1
 
2.0%
628.28 1
 
2.0%
12479.85 1
 
2.0%
4105.63 1
 
2.0%

3년가중평균매출채권회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
925.19
 
1
705.4
 
1
1238.15
 
1
1700.9
 
1

Length

Max length7
Median length4
Mean length4.2
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row925.19
2nd row705.4
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
925.19 1
 
2.0%
705.4 1
 
2.0%
1238.15 1
 
2.0%
1700.9 1
 
2.0%
273.95 1
 
2.0%

Length

2023-12-10T22:07:59.666739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:07:59.784686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
925.19 1
 
2.0%
705.4 1
 
2.0%
1238.15 1
 
2.0%
1700.9 1
 
2.0%
273.95 1
 
2.0%

3년가중평균자본집약도비율
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
766297355.11
 
1
331793191.0
 
1
225516409.25
 
1
504289934.58
 
1

Length

Max length12
Median length4
Mean length4.62
Min length4

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row766297355.11
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
766297355.11 1
 
2.0%
331793191.0 1
 
2.0%
225516409.25 1
 
2.0%
504289934.58 1
 
2.0%

Length

2023-12-10T22:07:59.943073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:00.153854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
766297355.11 1
 
2.0%
331793191.0 1
 
2.0%
225516409.25 1
 
2.0%
504289934.58 1
 
2.0%

3년가중평균종업원1인당인건비증가율
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
-24.55
 
1
9.64
 
1
5.41
 
1

Length

Max length6
Median length4
Mean length4.04
Min length4

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row-24.55
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
94.0%
-24.55 1
 
2.0%
9.64 1
 
2.0%
5.41 1
 
2.0%

Length

2023-12-10T22:08:00.285631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:00.428997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
24.55 1
 
2.0%
9.64 1
 
2.0%
5.41 1
 
2.0%

3년가중평균종업원1인당매출금액증가율
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
-4.93
 
1
16.97
 
1
15.34
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row-4.93
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
94.0%
-4.93 1
 
2.0%
16.97 1
 
2.0%
15.34 1
 
2.0%

Length

2023-12-10T22:08:00.551337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:00.669973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
4.93 1
 
2.0%
16.97 1
 
2.0%
15.34 1
 
2.0%

3년가중평균감가상각율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
22.75
 
1
6.89
 
1
1.3
 
1
0.76
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row22.75
2nd row6.89
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
22.75 1
 
2.0%
6.89 1
 
2.0%
1.3 1
 
2.0%
0.76 1
 
2.0%
1.85 1
 
2.0%

Length

2023-12-10T22:08:00.840845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:00.999845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
22.75 1
 
2.0%
6.89 1
 
2.0%
1.3 1
 
2.0%
0.76 1
 
2.0%
1.85 1
 
2.0%

3년가중평균총비용대비감가상각율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
1.76
 
1
0.83
 
1
0.22
 
1
0.3
 
1

Length

Max length4
Median length4
Mean length3.98
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row1.76
2nd row0.83
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
1.76 1
 
2.0%
0.83 1
 
2.0%
0.22 1
 
2.0%
0.3 1
 
2.0%
0.67 1
 
2.0%

Length

2023-12-10T22:08:01.166815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:01.336799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
1.76 1
 
2.0%
0.83 1
 
2.0%
0.22 1
 
2.0%
0.3 1
 
2.0%
0.67 1
 
2.0%

3년가중평균매출금액대비금융비용부담율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.38
 
1
2.38
 
1
1.03
 
1
1.16
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row0.38
2nd row2.38
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.38 1
 
2.0%
2.38 1
 
2.0%
1.03 1
 
2.0%
1.16 1
 
2.0%
0.43 1
 
2.0%

Length

2023-12-10T22:08:01.468004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:01.593664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.38 1
 
2.0%
2.38 1
 
2.0%
1.03 1
 
2.0%
1.16 1
 
2.0%
0.43 1
 
2.0%

3년가중평균배당총액증가율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
10.8
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
10.8 1
 
2.0%

Length

2023-12-10T22:08:01.737724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:01.843636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
10.8 1
 
2.0%

3년가중평균잉여금배당액증가차이율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
21.17
 
1

Length

Max length5
Median length4
Mean length4.02
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
21.17 1
 
2.0%

Length

2023-12-10T22:08:01.967099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:02.082816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
21.17 1
 
2.0%

3년가중평균매출금액대비운전자금비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.18
 
1
0.22
 
1
0.0
 
1
0.1
 
1

Length

Max length4
Median length4
Mean length3.96
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row0.18
2nd row0.22
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.18 1
 
2.0%
0.22 1
 
2.0%
0.0 1
 
2.0%
0.1 1
 
2.0%
0.57 1
 
2.0%

Length

2023-12-10T22:08:02.202695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:02.341206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.18 1
 
2.0%
0.22 1
 
2.0%
0.0 1
 
2.0%
0.1 1
 
2.0%
0.57 1
 
2.0%

3년가중평균배당성향율
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.0
 
3
6.08
 
1
60.93
 
1

Length

Max length5
Median length4
Mean length3.96
Min length3

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row0.0
2nd row6.08
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.0 3
 
6.0%
6.08 1
 
2.0%
60.93 1
 
2.0%

Length

2023-12-10T22:08:02.532044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:02.658904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.0 3
 
6.0%
6.08 1
 
2.0%
60.93 1
 
2.0%

5년가중평균매출금액총이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
37.17
 
1
28.14
 
1
3.88
 
1
22.46
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row37.17
2nd row28.14
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
37.17 1
 
2.0%
28.14 1
 
2.0%
3.88 1
 
2.0%
22.46 1
 
2.0%
56.6 1
 
2.0%

Length

2023-12-10T22:08:02.797385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:02.946696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
37.17 1
 
2.0%
28.14 1
 
2.0%
3.88 1
 
2.0%
22.46 1
 
2.0%
56.6 1
 
2.0%

5년가중평균영업이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-7.92
 
1
7.27
 
1
-2.27
 
1
10.5
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-7.92
2nd row7.27
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-7.92 1
 
2.0%
7.27 1
 
2.0%
-2.27 1
 
2.0%
10.5 1
 
2.0%
12.09 1
 
2.0%

Length

2023-12-10T22:08:03.107646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:03.239516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
7.92 1
 
2.0%
7.27 1
 
2.0%
2.27 1
 
2.0%
10.5 1
 
2.0%
12.09 1
 
2.0%

5년가중평균당기순이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-1.89
 
1
5.93
 
1
-3.86
 
1
6.72
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-1.89
2nd row5.93
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-1.89 1
 
2.0%
5.93 1
 
2.0%
-3.86 1
 
2.0%
6.72 1
 
2.0%
33.06 1
 
2.0%

Length

2023-12-10T22:08:03.359723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:03.496249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
1.89 1
 
2.0%
5.93 1
 
2.0%
3.86 1
 
2.0%
6.72 1
 
2.0%
33.06 1
 
2.0%

5년가중평균매출원가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
62.83
 
1
71.86
 
1
96.12
 
1
77.54
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row62.83
2nd row71.86
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
62.83 1
 
2.0%
71.86 1
 
2.0%
96.12 1
 
2.0%
77.54 1
 
2.0%
43.4 1
 
2.0%

Length

2023-12-10T22:08:03.645968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:03.788938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
62.83 1
 
2.0%
71.86 1
 
2.0%
96.12 1
 
2.0%
77.54 1
 
2.0%
43.4 1
 
2.0%

5년가중평균판관비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
45.09
 
1
20.87
 
1
6.15
 
1
11.96
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row45.09
2nd row20.87
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
45.09 1
 
2.0%
20.87 1
 
2.0%
6.15 1
 
2.0%
11.96 1
 
2.0%
44.51 1
 
2.0%

Length

2023-12-10T22:08:03.923964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:04.031327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
45.09 1
 
2.0%
20.87 1
 
2.0%
6.15 1
 
2.0%
11.96 1
 
2.0%
44.51 1
 
2.0%

5년가중평균자산수익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-2.83
 
1
7.83
 
1
-6.54
 
1
7.28
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-2.83
2nd row7.83
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-2.83 1
 
2.0%
7.83 1
 
2.0%
-6.54 1
 
2.0%
7.28 1
 
2.0%
14.52 1
 
2.0%

Length

2023-12-10T22:08:04.170078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:04.273709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
2.83 1
 
2.0%
7.83 1
 
2.0%
6.54 1
 
2.0%
7.28 1
 
2.0%
14.52 1
 
2.0%

5년가중평균자산자본이익율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-27.82
 
1
23.18
 
1
-31.45
 
1
14.62
 
1

Length

Max length6
Median length4
Mean length4.14
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-27.82
2nd row23.18
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-27.82 1
 
2.0%
23.18 1
 
2.0%
-31.45 1
 
2.0%
14.62 1
 
2.0%
16.99 1
 
2.0%

Length

2023-12-10T22:08:04.440202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:04.576077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
27.82 1
 
2.0%
23.18 1
 
2.0%
31.45 1
 
2.0%
14.62 1
 
2.0%
16.99 1
 
2.0%

5년가중평균매출금액대비인건비비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
6.8
 
1
7.76
 
1
2.02
 
1
4.01
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row6.8
2nd row7.76
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
6.8 1
 
2.0%
7.76 1
 
2.0%
2.02 1
 
2.0%
4.01 1
 
2.0%
18.01 1
 
2.0%

Length

2023-12-10T22:08:04.729141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:04.865362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
6.8 1
 
2.0%
7.76 1
 
2.0%
2.02 1
 
2.0%
4.01 1
 
2.0%
18.01 1
 
2.0%

5년가중평균이자보상비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.78
 
1
15.44
 
1
-14.06
 
1
16.63
 
1

Length

Max length6
Median length4
Mean length4.06
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row0.78
2nd row15.44
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.78 1
 
2.0%
15.44 1
 
2.0%
-14.06 1
 
2.0%
16.63 1
 
2.0%
0.0 1
 
2.0%

Length

2023-12-10T22:08:05.009422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:05.150848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.78 1
 
2.0%
15.44 1
 
2.0%
14.06 1
 
2.0%
16.63 1
 
2.0%
0.0 1
 
2.0%

5년가중평균적립금비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
23.08
 
1
71.73
 
1
102.3
 
1
92.76
 
1

Length

Max length5
Median length4
Mean length4.1
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row23.08
2nd row71.73
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
23.08 1
 
2.0%
71.73 1
 
2.0%
102.3 1
 
2.0%
92.76 1
 
2.0%
98.25 1
 
2.0%

Length

2023-12-10T22:08:05.272228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:05.414331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
23.08 1
 
2.0%
71.73 1
 
2.0%
102.3 1
 
2.0%
92.76 1
 
2.0%
98.25 1
 
2.0%

5년가중평균차입금의존도비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
2.5
 
1
16.71
 
1
29.4
 
1
34.87
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row2.5
2nd row16.71
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
2.5 1
 
2.0%
16.71 1
 
2.0%
29.4 1
 
2.0%
34.87 1
 
2.0%
0.0 1
 
2.0%

Length

2023-12-10T22:08:05.605262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:05.743894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
2.5 1
 
2.0%
16.71 1
 
2.0%
29.4 1
 
2.0%
34.87 1
 
2.0%
0.0 1
 
2.0%

5년가중평균차입금비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
25.75
 
1
82.85
 
1
117.17
 
1
77.97
 
1

Length

Max length6
Median length4
Mean length4.08
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row25.75
2nd row82.85
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
25.75 1
 
2.0%
82.85 1
 
2.0%
117.17 1
 
2.0%
77.97 1
 
2.0%
0.0 1
 
2.0%

Length

2023-12-10T22:08:05.889398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:06.017031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
25.75 1
 
2.0%
82.85 1
 
2.0%
117.17 1
 
2.0%
77.97 1
 
2.0%
0.0 1
 
2.0%

5년가중평균부채비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
116.86
 
1
226.81
 
1
280.3
 
1
116.85
 
1

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row116.86
2nd row226.81
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
116.86 1
 
2.0%
226.81 1
 
2.0%
280.3 1
 
2.0%
116.85 1
 
2.0%
14.33 1
 
2.0%

Length

2023-12-10T22:08:06.161919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:06.308221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
116.86 1
 
2.0%
226.81 1
 
2.0%
280.3 1
 
2.0%
116.85 1
 
2.0%
14.33 1
 
2.0%

5년가중평균유보율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
255.29
 
1
329.65
 
1
2387.05
 
1
1775.22
 
1

Length

Max length7
Median length4
Mean length4.26
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row255.29
2nd row329.65
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
255.29 1
 
2.0%
329.65 1
 
2.0%
2387.05 1
 
2.0%
1775.22 1
 
2.0%
1276.71 1
 
2.0%

Length

2023-12-10T22:08:06.447006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:06.614927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
255.29 1
 
2.0%
329.65 1
 
2.0%
2387.05 1
 
2.0%
1775.22 1
 
2.0%
1276.71 1
 
2.0%

5년가중평균유동비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
144.5
 
1
172.32
 
1
103.03
 
1
144.39
 
1

Length

Max length6
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row144.5
2nd row172.32
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
144.5 1
 
2.0%
172.32 1
 
2.0%
103.03 1
 
2.0%
144.39 1
 
2.0%
685.76 1
 
2.0%

Length

2023-12-10T22:08:06.804406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:06.946433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
144.5 1
 
2.0%
172.32 1
 
2.0%
103.03 1
 
2.0%
144.39 1
 
2.0%
685.76 1
 
2.0%

5년가중평균당좌비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
110.9
 
1
101.28
 
1
79.77
 
1
113.58
 
1

Length

Max length6
Median length4
Mean length4.14
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row110.9
2nd row101.28
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
110.9 1
 
2.0%
101.28 1
 
2.0%
79.77 1
 
2.0%
113.58 1
 
2.0%
516.6 1
 
2.0%

Length

2023-12-10T22:08:07.075334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:07.193656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
110.9 1
 
2.0%
101.28 1
 
2.0%
79.77 1
 
2.0%
113.58 1
 
2.0%
516.6 1
 
2.0%

5년가중평균재고자산대비매입채무비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
40.69
 
1
61.26
 
1
249.33
 
1
32.91
 
1

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row40.69
2nd row61.26
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
40.69 1
 
2.0%
61.26 1
 
2.0%
249.33 1
 
2.0%
32.91 1
 
2.0%
10.91 1
 
2.0%

Length

2023-12-10T22:08:07.341207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:07.790618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
40.69 1
 
2.0%
61.26 1
 
2.0%
249.33 1
 
2.0%
32.91 1
 
2.0%
10.91 1
 
2.0%

5년가중평균매입채무대비매출채권비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
324.41
 
1
145.5
 
1
52.14
 
1
1615.68
 
1

Length

Max length7
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row324.41
2nd row145.5
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
324.41 1
 
2.0%
145.5 1
 
2.0%
52.14 1
 
2.0%
1615.68 1
 
2.0%
1565.2 1
 
2.0%

Length

2023-12-10T22:08:07.913479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:08.037614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
324.41 1
 
2.0%
145.5 1
 
2.0%
52.14 1
 
2.0%
1615.68 1
 
2.0%
1565.2 1
 
2.0%

5년가중평균총자본대비순운전자본비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-26.78
 
1
23.08
 
1
-1.1
 
1
29.04
 
1

Length

Max length6
Median length4
Mean length4.1
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-26.78
2nd row23.08
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-26.78 1
 
2.0%
23.08 1
 
2.0%
-1.1 1
 
2.0%
29.04 1
 
2.0%
50.88 1
 
2.0%

Length

2023-12-10T22:08:08.231562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:08.397398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
26.78 1
 
2.0%
23.08 1
 
2.0%
1.1 1
 
2.0%
29.04 1
 
2.0%
50.88 1
 
2.0%

5년가중평균매출금액증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
6.91
 
1
25.14
 
1
9.57
 
1
19.95
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row6.91
2nd row25.14
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
6.91 1
 
2.0%
25.14 1
 
2.0%
9.57 1
 
2.0%
19.95 1
 
2.0%
12.21 1
 
2.0%

Length

2023-12-10T22:08:08.522800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:08.676140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
6.91 1
 
2.0%
25.14 1
 
2.0%
9.57 1
 
2.0%
19.95 1
 
2.0%
12.21 1
 
2.0%

5년가중평균영업이익증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
45.79
 
1
56.8
 
1
1356.53
 
1
61.66
 
1

Length

Max length7
Median length4
Mean length4.14
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row45.79
2nd row56.8
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
45.79 1
 
2.0%
56.8 1
 
2.0%
1356.53 1
 
2.0%
61.66 1
 
2.0%
105.27 1
 
2.0%

Length

2023-12-10T22:08:08.821300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:08.954320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
45.79 1
 
2.0%
56.8 1
 
2.0%
1356.53 1
 
2.0%
61.66 1
 
2.0%
105.27 1
 
2.0%

5년가중평균순이익증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
6.67
 
1
329.34
 
1
216.56
 
1
-326.07
 
1

Length

Max length7
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row6.67
2nd row329.34
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
6.67 1
 
2.0%
329.34 1
 
2.0%
216.56 1
 
2.0%
-326.07 1
 
2.0%
399.15 1
 
2.0%

Length

2023-12-10T22:08:09.118776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:09.275289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
6.67 1
 
2.0%
329.34 1
 
2.0%
216.56 1
 
2.0%
326.07 1
 
2.0%
399.15 1
 
2.0%

5년가중평균DPS증가율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
-16.71
 
1

Length

Max length6
Median length4
Mean length4.04
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
-16.71 1
 
2.0%

Length

2023-12-10T22:08:09.431623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:09.553340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
16.71 1
 
2.0%

5년가중평균이익잉여금증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
14.19
 
1
76.35
 
1
-30.95
 
1
32.23
 
1

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row14.19
2nd row76.35
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
14.19 1
 
2.0%
76.35 1
 
2.0%
-30.95 1
 
2.0%
32.23 1
 
2.0%
22.02 1
 
2.0%

Length

2023-12-10T22:08:09.678293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:09.826640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
14.19 1
 
2.0%
76.35 1
 
2.0%
30.95 1
 
2.0%
32.23 1
 
2.0%
22.02 1
 
2.0%

5년가중평균총자산회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
61.59
 
1
146.59
 
1
194.32
 
1
113.28
 
1

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row61.59
2nd row146.59
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
61.59 1
 
2.0%
146.59 1
 
2.0%
194.32 1
 
2.0%
113.28 1
 
2.0%
57.75 1
 
2.0%

Length

2023-12-10T22:08:10.005651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:10.147572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
61.59 1
 
2.0%
146.59 1
 
2.0%
194.32 1
 
2.0%
113.28 1
 
2.0%
57.75 1
 
2.0%

5년가중평균총부채회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
237.73
 
1
254.3
 
1
265.79
 
1
217.34
 
1

Length

Max length6
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row237.73
2nd row254.3
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
237.73 1
 
2.0%
254.3 1
 
2.0%
265.79 1
 
2.0%
217.34 1
 
2.0%
501.47 1
 
2.0%

Length

2023-12-10T22:08:10.309127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:10.450917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
237.73 1
 
2.0%
254.3 1
 
2.0%
265.79 1
 
2.0%
217.34 1
 
2.0%
501.47 1
 
2.0%

5년가중평균총자본회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
122.0
 
1
420.09
 
1
751.26
 
1
248.59
 
1

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row122.0
2nd row420.09
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
122.0 1
 
2.0%
420.09 1
 
2.0%
751.26 1
 
2.0%
248.59 1
 
2.0%
65.49 1
 
2.0%

Length

2023-12-10T22:08:10.618031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:10.791310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
122.0 1
 
2.0%
420.09 1
 
2.0%
751.26 1
 
2.0%
248.59 1
 
2.0%
65.49 1
 
2.0%

5년가중평균자본금회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
135.06
 
1
1874.85
 
1
16635.15
 
1
4044.97
 
1

Length

Max length8
Median length4
Mean length4.28
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row135.06
2nd row1874.85
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
135.06 1
 
2.0%
1874.85 1
 
2.0%
16635.15 1
 
2.0%
4044.97 1
 
2.0%
805.83 1
 
2.0%

Length

2023-12-10T22:08:10.942397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:11.079110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
135.06 1
 
2.0%
1874.85 1
 
2.0%
16635.15 1
 
2.0%
4044.97 1
 
2.0%
805.83 1
 
2.0%

5년가중평균유형자산회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
967.86
 
1
502.1
 
1
605.53
 
1
279.28
 
1

Length

Max length6
Median length4
Mean length4.18
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row967.86
2nd row502.1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
967.86 1
 
2.0%
502.1 1
 
2.0%
605.53 1
 
2.0%
279.28 1
 
2.0%
225.36 1
 
2.0%

Length

2023-12-10T22:08:11.207096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:11.345981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
967.86 1
 
2.0%
502.1 1
 
2.0%
605.53 1
 
2.0%
279.28 1
 
2.0%
225.36 1
 
2.0%

5년가중평균재고자산회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
874.7
 
1
539.01
 
1
1235.98
 
1
1854.53
 
1

Length

Max length7
Median length4
Mean length4.22
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row874.7
2nd row539.01
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
874.7 1
 
2.0%
539.01 1
 
2.0%
1235.98 1
 
2.0%
1854.53 1
 
2.0%
435.74 1
 
2.0%

Length

2023-12-10T22:08:11.532565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:11.723266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
874.7 1
 
2.0%
539.01 1
 
2.0%
1235.98 1
 
2.0%
1854.53 1
 
2.0%
435.74 1
 
2.0%

5년가중평균매입채무회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
2548.89
 
1
964.42
 
1
605.5
 
1
12481.23
 
1

Length

Max length8
Median length4
Mean length4.26
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row2548.89
2nd row964.42
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
2548.89 1
 
2.0%
964.42 1
 
2.0%
605.5 1
 
2.0%
12481.23 1
 
2.0%
4180.23 1
 
2.0%

Length

2023-12-10T22:08:11.890506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:12.058311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
2548.89 1
 
2.0%
964.42 1
 
2.0%
605.5 1
 
2.0%
12481.23 1
 
2.0%
4180.23 1
 
2.0%

5년가중평균매출채권회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
818.23
 
1
687.43
 
1
1159.1
 
1
1688.44
 
1

Length

Max length7
Median length4
Mean length4.22
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row818.23
2nd row687.43
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
818.23 1
 
2.0%
687.43 1
 
2.0%
1159.1 1
 
2.0%
1688.44 1
 
2.0%
293.03 1
 
2.0%

Length

2023-12-10T22:08:12.198455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:12.334615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
818.23 1
 
2.0%
687.43 1
 
2.0%
1159.1 1
 
2.0%
1688.44 1
 
2.0%
293.03 1
 
2.0%

5년가중평균자본집약도비율
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
763837382.99
 
1
456219079.21
 
1

Length

Max length12
Median length4
Mean length4.32
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row763837382.99
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
763837382.99 1
 
2.0%
456219079.21 1
 
2.0%

Length

2023-12-10T22:08:12.485478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:12.644938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
763837382.99 1
 
2.0%
456219079.21 1
 
2.0%

5년가중평균종업원1인당인건비증가율
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
46.4
 
1
5.4
 
1

Length

Max length4
Median length4
Mean length3.98
Min length3

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row46.4
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
46.4 1
 
2.0%
5.4 1
 
2.0%

Length

2023-12-10T22:08:12.777214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:12.908534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
46.4 1
 
2.0%
5.4 1
 
2.0%

5년가중평균종업원1인당매출금액증가율
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
26.6
 
1
10.4
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row26.6
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
26.6 1
 
2.0%
10.4 1
 
2.0%

Length

2023-12-10T22:08:13.051327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:13.173558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
26.6 1
 
2.0%
10.4 1
 
2.0%

5년가중평균감가상각율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
25.83
 
1
6.93
 
1
1.09
 
1
0.76
 
1

Length

Max length5
Median length4
Mean length4.02
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row25.83
2nd row6.93
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
25.83 1
 
2.0%
6.93 1
 
2.0%
1.09 1
 
2.0%
0.76 1
 
2.0%
1.72 1
 
2.0%

Length

2023-12-10T22:08:13.311483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:13.438732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
25.83 1
 
2.0%
6.93 1
 
2.0%
1.09 1
 
2.0%
0.76 1
 
2.0%
1.72 1
 
2.0%

5년가중평균총비용대비감가상각율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
2.22
 
1
0.97
 
1
0.18
 
1
0.31
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row2.22
2nd row0.97
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
2.22 1
 
2.0%
0.97 1
 
2.0%
0.18 1
 
2.0%
0.31 1
 
2.0%
0.66 1
 
2.0%

Length

2023-12-10T22:08:13.578312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:13.706874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
2.22 1
 
2.0%
0.97 1
 
2.0%
0.18 1
 
2.0%
0.31 1
 
2.0%
0.66 1
 
2.0%

5년가중평균매출금액대비금융비용부담율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
1.02
 
1
2.64
 
1
1.4
 
1
1.49
 
1

Length

Max length4
Median length4
Mean length3.98
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row1.02
2nd row2.64
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
1.02 1
 
2.0%
2.64 1
 
2.0%
1.4 1
 
2.0%
1.49 1
 
2.0%
0.29 1
 
2.0%

Length

2023-12-10T22:08:13.865769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:14.026305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
1.02 1
 
2.0%
2.64 1
 
2.0%
1.4 1
 
2.0%
1.49 1
 
2.0%
0.29 1
 
2.0%

5년가중평균배당총액증가율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
11.26
 
1

Length

Max length5
Median length4
Mean length4.02
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
11.26 1
 
2.0%

Length

2023-12-10T22:08:14.155959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:14.281434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
11.26 1
 
2.0%

5년가중평균잉여금배당액증가차이율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
10.76
 
1

Length

Max length5
Median length4
Mean length4.02
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
10.76 1
 
2.0%

Length

2023-12-10T22:08:14.400020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:14.508935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
10.76 1
 
2.0%

5년가중평균매출금액대비운전자금비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.19
 
1
0.22
 
1
0.01
 
1
0.1
 
1

Length

Max length4
Median length4
Mean length3.98
Min length3

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row0.19
2nd row0.22
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.19 1
 
2.0%
0.22 1
 
2.0%
0.01 1
 
2.0%
0.1 1
 
2.0%
0.56 1
 
2.0%

Length

2023-12-10T22:08:14.632858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:14.748701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.19 1
 
2.0%
0.22 1
 
2.0%
0.01 1
 
2.0%
0.1 1
 
2.0%
0.56 1
 
2.0%

5년가중평균배당성향율
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
0.0
 
3
4.14
 
1
74.22
 
1

Length

Max length5
Median length4
Mean length3.96
Min length3

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row0.0
2nd row4.14
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
0.0 3
 
6.0%
4.14 1
 
2.0%
74.22 1
 
2.0%

Length

2023-12-10T22:08:14.893031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:15.003803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
0.0 3
 
6.0%
4.14 1
 
2.0%
74.22 1
 
2.0%

매출금액총이익율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2.9933333
Minimum-1.92
Maximum10.65
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:15.117474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.92
5-th percentile-1.465
Q1-0.0025
median0.81
Q36.115
95-th percentile9.915
Maximum10.65
Range12.57
Interquartile range (IQR)6.1175

Descriptive statistics

Standard deviation4.9931099
Coefficient of variation (CV)1.6680768
Kurtosis-0.99386187
Mean2.9933333
Median Absolute Deviation (MAD)1.82
Skewness0.91874705
Sum17.96
Variance24.931147
MonotonicityNot monotonic
2023-12-10T22:08:15.268758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10.65 1
 
2.0%
0.29 1
 
2.0%
7.71 1
 
2.0%
-1.92 1
 
2.0%
1.33 1
 
2.0%
-0.1 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-1.92 1
2.0%
-0.1 1
2.0%
0.29 1
2.0%
1.33 1
2.0%
7.71 1
2.0%
10.65 1
2.0%
ValueCountFrequency (%)
10.65 1
2.0%
7.71 1
2.0%
1.33 1
2.0%
0.29 1
2.0%
-0.1 1
2.0%
-1.92 1
2.0%

영업이익율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean4.1166667
Minimum-1.9
Maximum21.98
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:15.429574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.9
5-th percentile-1.805
Q1-0.835
median1.225
Q33.075
95-th percentile17.4075
Maximum21.98
Range23.88
Interquartile range (IQR)3.91

Descriptive statistics

Standard deviation8.988621
Coefficient of variation (CV)2.1834707
Kurtosis4.9325913
Mean4.1166667
Median Absolute Deviation (MAD)2.605
Skewness2.1707071
Sum24.7
Variance80.795307
MonotonicityNot monotonic
2023-12-10T22:08:15.546970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
21.98 1
 
2.0%
1.23 1
 
2.0%
3.69 1
 
2.0%
-1.9 1
 
2.0%
1.22 1
 
2.0%
-1.52 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-1.9 1
2.0%
-1.52 1
2.0%
1.22 1
2.0%
1.23 1
2.0%
3.69 1
2.0%
21.98 1
2.0%
ValueCountFrequency (%)
21.98 1
2.0%
3.69 1
2.0%
1.23 1
2.0%
1.22 1
2.0%
-1.52 1
2.0%
-1.9 1
2.0%

당기순이익율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean4.82
Minimum-1.74
Maximum15.04
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)2.0%
Memory size582.0 B
2023-12-10T22:08:15.638061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-0.9175
Q11.5625
median1.72
Q38.4325
95-th percentile13.9375
Maximum15.04
Range16.78
Interquartile range (IQR)6.87

Descriptive statistics

Standard deviation6.4989199
Coefficient of variation (CV)1.3483236
Kurtosis-0.67726184
Mean4.82
Median Absolute Deviation (MAD)1.815
Skewness0.96886111
Sum28.92
Variance42.23596
MonotonicityNot monotonic
2023-12-10T22:08:15.748485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15.04 1
 
2.0%
1.6 1
 
2.0%
1.55 1
 
2.0%
-1.74 1
 
2.0%
1.84 1
 
2.0%
10.63 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-1.74 1
2.0%
1.55 1
2.0%
1.6 1
2.0%
1.84 1
2.0%
10.63 1
2.0%
15.04 1
2.0%
ValueCountFrequency (%)
15.04 1
2.0%
10.63 1
2.0%
1.84 1
2.0%
1.6 1
2.0%
1.55 1
2.0%
-1.74 1
2.0%

매출원가율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-2.9933333
Minimum-10.65
Maximum1.92
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.0%
Memory size582.0 B
2023-12-10T22:08:15.882752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10.65
5-th percentile-9.915
Q1-6.115
median-0.81
Q30.0025
95-th percentile1.465
Maximum1.92
Range12.57
Interquartile range (IQR)6.1175

Descriptive statistics

Standard deviation4.9931099
Coefficient of variation (CV)-1.6680768
Kurtosis-0.99386187
Mean-2.9933333
Median Absolute Deviation (MAD)1.82
Skewness-0.91874705
Sum-17.96
Variance24.931147
MonotonicityNot monotonic
2023-12-10T22:08:15.997283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-10.65 1
 
2.0%
-0.29 1
 
2.0%
-7.71 1
 
2.0%
1.92 1
 
2.0%
-1.33 1
 
2.0%
0.1 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-10.65 1
2.0%
-7.71 1
2.0%
-1.33 1
2.0%
-0.29 1
2.0%
0.1 1
2.0%
1.92 1
2.0%
ValueCountFrequency (%)
1.92 1
2.0%
0.1 1
2.0%
-0.29 1
2.0%
-1.33 1
2.0%
-7.71 1
2.0%
-10.65 1
2.0%

판관비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-1.1233333
Minimum-11.33
Maximum4.03
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:16.120906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-11.33
5-th percentile-8.735
Q1-0.715
median0.05
Q31.085
95-th percentile3.375
Maximum4.03
Range15.36
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation5.2903938
Coefficient of variation (CV)-4.7095494
Kurtosis4.1184676
Mean-1.1233333
Median Absolute Deviation (MAD)1.18
Skewness-1.8374837
Sum-6.74
Variance27.988267
MonotonicityNot monotonic
2023-12-10T22:08:16.254511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-11.33 1
 
2.0%
-0.95 1
 
2.0%
4.03 1
 
2.0%
-0.01 1
 
2.0%
0.11 1
 
2.0%
1.41 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-11.33 1
2.0%
-0.95 1
2.0%
-0.01 1
2.0%
0.11 1
2.0%
1.41 1
2.0%
4.03 1
2.0%
ValueCountFrequency (%)
4.03 1
2.0%
1.41 1
2.0%
0.11 1
2.0%
-0.01 1
2.0%
-0.95 1
2.0%
-11.33 1
2.0%

자산수익율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean3.185
Minimum-2.95
Maximum12.73
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)2.0%
Memory size582.0 B
2023-12-10T22:08:16.427556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.95
5-th percentile-1.735
Q11.93
median2.015
Q33.0525
95-th percentile10.395
Maximum12.73
Range15.68
Interquartile range (IQR)1.1225

Descriptive statistics

Standard deviation5.1604641
Coefficient of variation (CV)1.6202399
Kurtosis3.3476935
Mean3.185
Median Absolute Deviation (MAD)0.74
Skewness1.3827911
Sum19.11
Variance26.63039
MonotonicityNot monotonic
2023-12-10T22:08:16.604284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
12.73 1
 
2.0%
2.04 1
 
2.0%
1.91 1
 
2.0%
-2.95 1
 
2.0%
1.99 1
 
2.0%
3.39 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-2.95 1
2.0%
1.91 1
2.0%
1.99 1
2.0%
2.04 1
2.0%
3.39 1
2.0%
12.73 1
2.0%
ValueCountFrequency (%)
12.73 1
2.0%
3.39 1
2.0%
2.04 1
2.0%
1.99 1
2.0%
1.91 1
2.0%
-2.95 1
2.0%

자기자본이익율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean15.265
Minimum-14.64
Maximum99.51
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:16.738791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-14.64
5-th percentile-11.6625
Q1-1.4525
median2.62
Q33.8725
95-th percentile75.685
Maximum99.51
Range114.15
Interquartile range (IQR)5.325

Descriptive statistics

Standard deviation41.850853
Coefficient of variation (CV)2.7416215
Kurtosis5.4651584
Mean15.265
Median Absolute Deviation (MAD)3.47
Skewness2.2916361
Sum91.59
Variance1751.4939
MonotonicityNot monotonic
2023-12-10T22:08:16.849854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99.51 1
 
2.0%
-2.73 1
 
2.0%
2.38 1
 
2.0%
-14.64 1
 
2.0%
2.86 1
 
2.0%
4.21 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-14.64 1
2.0%
-2.73 1
2.0%
2.38 1
2.0%
2.86 1
2.0%
4.21 1
2.0%
99.51 1
2.0%
ValueCountFrequency (%)
99.51 1
2.0%
4.21 1
2.0%
2.86 1
2.0%
2.38 1
2.0%
-2.73 1
2.0%
-14.64 1
2.0%

매출금액대비인건비비율기울기값
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
-0.15
 
2
-3.41
 
1
0.07
 
1
0.29
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row-3.41
2nd row0.07
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
-0.15 2
 
4.0%
-3.41 1
 
2.0%
0.07 1
 
2.0%
0.29 1
 
2.0%
-0.23 1
 
2.0%

Length

2023-12-10T22:08:17.007260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:17.159868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0.15 2
 
4.0%
3.41 1
 
2.0%
0.07 1
 
2.0%
0.29 1
 
2.0%
0.23 1
 
2.0%

이자보상비율기울기값
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-2.535
Minimum-9.21
Maximum2.44
Zeros1
Zeros (%)2.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:17.290745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9.21
5-th percentile-8.9675
Q1-6.5325
median-0.705
Q30.9075
95-th percentile2.1325
Maximum2.44
Range11.65
Interquartile range (IQR)7.44

Descriptive statistics

Standard deviation4.9713208
Coefficient of variation (CV)-1.9610733
Kurtosis-1.7841052
Mean-2.535
Median Absolute Deviation (MAD)2.53
Skewness-0.70742461
Sum-15.21
Variance24.71403
MonotonicityNot monotonic
2023-12-10T22:08:17.438397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.44 1
 
2.0%
-9.21 1
 
2.0%
1.21 1
 
2.0%
-1.41 1
 
2.0%
-8.24 1
 
2.0%
0.0 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-9.21 1
2.0%
-8.24 1
2.0%
-1.41 1
2.0%
0.0 1
2.0%
1.21 1
2.0%
2.44 1
2.0%
ValueCountFrequency (%)
2.44 1
2.0%
1.21 1
2.0%
0.0 1
2.0%
-1.41 1
2.0%
-8.24 1
2.0%
-9.21 1
2.0%

적립금비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean11.59
Minimum-3.99
Maximum68.55
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:17.855700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.99
5-th percentile-3.7825
Q1-2.015
median2.19
Q33.56
95-th percentile52.3525
Maximum68.55
Range72.54
Interquartile range (IQR)5.575

Descriptive statistics

Standard deviation28.085424
Coefficient of variation (CV)2.4232462
Kurtosis5.7348367
Mean11.59
Median Absolute Deviation (MAD)3.46
Skewness2.3784632
Sum69.54
Variance788.79104
MonotonicityNot monotonic
2023-12-10T22:08:17.958115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
68.55 1
 
2.0%
-3.16 1
 
2.0%
3.76 1
 
2.0%
2.96 1
 
2.0%
1.42 1
 
2.0%
-3.99 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-3.99 1
2.0%
-3.16 1
2.0%
1.42 1
2.0%
2.96 1
2.0%
3.76 1
2.0%
68.55 1
2.0%
ValueCountFrequency (%)
68.55 1
2.0%
3.76 1
2.0%
2.96 1
2.0%
1.42 1
2.0%
-3.16 1
2.0%
-3.99 1
2.0%

차입금의존도기울기값
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-2.0816667
Minimum-6.62
Maximum5.78
Zeros1
Zeros (%)2.0%
Negative4
Negative (%)8.0%
Memory size582.0 B
2023-12-10T22:08:18.123270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.62
5-th percentile-6.5275
Q1-5.8
median-2.7
Q3-0.2375
95-th percentile4.335
Maximum5.78
Range12.4
Interquartile range (IQR)5.5625

Descriptive statistics

Standard deviation4.7116936
Coefficient of variation (CV)-2.2634237
Kurtosis0.28060328
Mean-2.0816667
Median Absolute Deviation (MAD)3.125
Skewness0.90970682
Sum-12.49
Variance22.200057
MonotonicityNot monotonic
2023-12-10T22:08:18.275135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-6.62 1
 
2.0%
-6.25 1
 
2.0%
5.78 1
 
2.0%
-0.95 1
 
2.0%
-4.45 1
 
2.0%
0.0 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-6.62 1
2.0%
-6.25 1
2.0%
-4.45 1
2.0%
-0.95 1
2.0%
0.0 1
2.0%
5.78 1
2.0%
ValueCountFrequency (%)
5.78 1
2.0%
0.0 1
2.0%
-0.95 1
2.0%
-4.45 1
2.0%
-6.25 1
2.0%
-6.62 1
2.0%

차입금비율기울기값
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-33.035
Minimum-83.58
Maximum0
Zeros1
Zeros (%)2.0%
Negative5
Negative (%)10.0%
Memory size582.0 B
2023-12-10T22:08:18.410971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-83.58
5-th percentile-74.75
Q1-43.075
median-25.08
Q3-17.8175
95-th percentile-4.0525
Maximum0
Range83.58
Interquartile range (IQR)25.2575

Descriptive statistics

Standard deviation29.323918
Coefficient of variation (CV)-0.88766211
Kurtosis1.1952025
Mean-33.035
Median Absolute Deviation (MAD)16.025
Skewness-1.0773901
Sum-198.21
Variance859.89215
MonotonicityNot monotonic
2023-12-10T22:08:18.539134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-83.58 1
 
2.0%
-48.26 1
 
2.0%
-16.21 1
 
2.0%
-27.52 1
 
2.0%
-22.64 1
 
2.0%
0.0 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-83.58 1
2.0%
-48.26 1
2.0%
-27.52 1
2.0%
-22.64 1
2.0%
-16.21 1
2.0%
0.0 1
2.0%
ValueCountFrequency (%)
0.0 1
2.0%
-16.21 1
2.0%
-22.64 1
2.0%
-27.52 1
2.0%
-48.26 1
2.0%
-83.58 1
2.0%

부채비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-92.041667
Minimum-236.48
Maximum1.24
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)10.0%
Memory size582.0 B
2023-12-10T22:08:18.670678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-236.48
5-th percentile-209.2075
Q1-120.55
median-80.105
Q3-37.1025
95-th percentile-6.4225
Maximum1.24
Range237.72
Interquartile range (IQR)83.4475

Descriptive statistics

Standard deviation84.63464
Coefficient of variation (CV)-0.91952528
Kurtosis0.96625903
Mean-92.041667
Median Absolute Deviation (MAD)48.99
Skewness-0.9740172
Sum-552.25
Variance7163.0222
MonotonicityNot monotonic
2023-12-10T22:08:18.801383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-236.48 1
 
2.0%
-100.03 1
 
2.0%
-127.39 1
 
2.0%
-60.18 1
 
2.0%
-29.41 1
 
2.0%
1.24 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-236.48 1
2.0%
-127.39 1
2.0%
-100.03 1
2.0%
-60.18 1
2.0%
-29.41 1
2.0%
1.24 1
2.0%
ValueCountFrequency (%)
1.24 1
2.0%
-29.41 1
2.0%
-60.18 1
2.0%
-100.03 1
2.0%
-127.39 1
2.0%
-236.48 1
2.0%

유보율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean79.306667
Minimum-141.49
Maximum376.53
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:18.914093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-141.49
5-th percentile-118.6925
Q1-45.945
median18.095
Q3208.45
95-th percentile346.125
Maximum376.53
Range518.02
Interquartile range (IQR)254.395

Descriptive statistics

Standard deviation198.70477
Coefficient of variation (CV)2.5055242
Kurtosis-1.0537669
Mean79.306667
Median Absolute Deviation (MAD)113.99
Skewness0.66220613
Sum475.84
Variance39483.587
MonotonicityNot monotonic
2023-12-10T22:08:19.036086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
69.07 1
 
2.0%
-141.49 1
 
2.0%
254.91 1
 
2.0%
-50.3 1
 
2.0%
376.53 1
 
2.0%
-32.88 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-141.49 1
2.0%
-50.3 1
2.0%
-32.88 1
2.0%
69.07 1
2.0%
254.91 1
2.0%
376.53 1
2.0%
ValueCountFrequency (%)
376.53 1
2.0%
254.91 1
2.0%
69.07 1
2.0%
-32.88 1
2.0%
-50.3 1
2.0%
-141.49 1
2.0%

유동비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-1.2433333
Minimum-78.23
Maximum35.03
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:19.184045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-78.23
5-th percentile-59.89
Q1-2.9075
median10.405
Q319.3075
95-th percentile31.2225
Maximum35.03
Range113.26
Interquartile range (IQR)22.215

Descriptive statistics

Standard deviation40.200261
Coefficient of variation (CV)-32.332649
Kurtosis3.7177046
Mean-1.2433333
Median Absolute Deviation (MAD)12.335
Skewness-1.8114883
Sum-7.46
Variance1616.0609
MonotonicityNot monotonic
2023-12-10T22:08:19.303142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
19.8 1
 
2.0%
35.03 1
 
2.0%
2.98 1
 
2.0%
-4.87 1
 
2.0%
17.83 1
 
2.0%
-78.23 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-78.23 1
2.0%
-4.87 1
2.0%
2.98 1
2.0%
17.83 1
2.0%
19.8 1
2.0%
35.03 1
2.0%
ValueCountFrequency (%)
35.03 1
2.0%
19.8 1
2.0%
17.83 1
2.0%
2.98 1
2.0%
-4.87 1
2.0%
-78.23 1
2.0%

당좌비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-6.1883333
Minimum-60.56
Maximum21.56
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:19.420781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-60.56
5-th percentile-53.0275
Q1-23.07
median6.685
Q317.7875
95-th percentile20.9025
Maximum21.56
Range82.12
Interquartile range (IQR)40.8575

Descriptive statistics

Standard deviation32.845377
Coefficient of variation (CV)-5.3076289
Kurtosis-0.082191754
Mean-6.1883333
Median Absolute Deviation (MAD)13.56
Skewness-1.0917721
Sum-37.13
Variance1078.8188
MonotonicityNot monotonic
2023-12-10T22:08:19.563823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
18.93 1
 
2.0%
21.56 1
 
2.0%
-30.43 1
 
2.0%
-0.99 1
 
2.0%
14.36 1
 
2.0%
-60.56 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-60.56 1
2.0%
-30.43 1
2.0%
-0.99 1
2.0%
14.36 1
2.0%
18.93 1
2.0%
21.56 1
2.0%
ValueCountFrequency (%)
21.56 1
2.0%
18.93 1
2.0%
14.36 1
2.0%
-0.99 1
2.0%
-30.43 1
2.0%
-60.56 1
2.0%

재고자산대비매입채무비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-24.191667
Minimum-161.93
Maximum39.75
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:19.670318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-161.93
5-th percentile-126.62
Q1-18.1075
median-4.74
Q35.62
95-th percentile31.6125
Maximum39.75
Range201.68
Interquartile range (IQR)23.7275

Descriptive statistics

Standard deviation70.537915
Coefficient of variation (CV)-2.9157939
Kurtosis4.4394894
Mean-24.191667
Median Absolute Deviation (MAD)13.945
Skewness-1.9679895
Sum-145.15
Variance4975.5974
MonotonicityNot monotonic
2023-12-10T22:08:19.809588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-20.69 1
 
2.0%
7.2 1
 
2.0%
-161.93 1
 
2.0%
39.75 1
 
2.0%
-10.36 1
 
2.0%
0.88 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-161.93 1
2.0%
-20.69 1
2.0%
-10.36 1
2.0%
0.88 1
2.0%
7.2 1
2.0%
39.75 1
2.0%
ValueCountFrequency (%)
39.75 1
2.0%
7.2 1
2.0%
0.88 1
2.0%
-10.36 1
2.0%
-20.69 1
2.0%
-161.93 1
2.0%

매입채무대비매출채권비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-111.03
Minimum-743.64
Maximum152.08
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.0%
Memory size582.0 B
2023-12-10T22:08:19.951954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-743.64
5-th percentile-585.365
Q1-92.2325
median-19.795
Q356.0625
95-th percentile132.9375
Maximum152.08
Range895.72
Interquartile range (IQR)148.295

Descriptive statistics

Standard deviation322.94919
Coefficient of variation (CV)-2.908666
Kurtosis4.4535822
Mean-111.03
Median Absolute Deviation (MAD)93.025
Skewness-2.0198298
Sum-666.18
Variance104296.18
MonotonicityNot monotonic
2023-12-10T22:08:20.080308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
75.51 1
 
2.0%
-37.31 1
 
2.0%
-110.54 1
 
2.0%
-2.28 1
 
2.0%
-743.64 1
 
2.0%
152.08 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-743.64 1
2.0%
-110.54 1
2.0%
-37.31 1
2.0%
-2.28 1
2.0%
75.51 1
2.0%
152.08 1
2.0%
ValueCountFrequency (%)
152.08 1
2.0%
75.51 1
2.0%
-2.28 1
2.0%
-37.31 1
2.0%
-110.54 1
2.0%
-743.64 1
2.0%

총자본대비순운전자본비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean25.848333
Minimum-10.3
Maximum114.88
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:20.199835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10.3
5-th percentile-8.9175
Q1-0.4275
median13.26
Q325.05
95-th percentile93.35
Maximum114.88
Range125.18
Interquartile range (IQR)25.4775

Descriptive statistics

Standard deviation45.819435
Coefficient of variation (CV)1.7726263
Kurtosis4.1476491
Mean25.848333
Median Absolute Deviation (MAD)16.765
Skewness1.9516277
Sum155.09
Variance2099.4207
MonotonicityNot monotonic
2023-12-10T22:08:20.330703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
114.88 1
 
2.0%
28.76 1
 
2.0%
13.92 1
 
2.0%
-10.3 1
 
2.0%
12.6 1
 
2.0%
-4.77 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-10.3 1
2.0%
-4.77 1
2.0%
12.6 1
2.0%
13.92 1
2.0%
28.76 1
2.0%
114.88 1
2.0%
ValueCountFrequency (%)
114.88 1
2.0%
28.76 1
2.0%
13.92 1
2.0%
12.6 1
2.0%
-4.77 1
2.0%
-10.3 1
2.0%

매출금액증가율기울기값
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
25.29
 
1
-0.54
 
1
-5.31
 
1
15.6
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row25.29
2nd row-0.54
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
25.29 1
 
2.0%
-0.54 1
 
2.0%
-5.31 1
 
2.0%
15.6 1
 
2.0%
4.95 1
 
2.0%

Length

2023-12-10T22:08:20.499746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:20.618081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
25.29 1
 
2.0%
0.54 1
 
2.0%
5.31 1
 
2.0%
15.6 1
 
2.0%
4.95 1
 
2.0%

영업이익증가율기울기값
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
24.19
 
1
-14.06
 
1
318.12
 
1
31.44
 
1

Length

Max length6
Median length4
Mean length4.14
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row24.19
2nd row-14.06
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
24.19 1
 
2.0%
-14.06 1
 
2.0%
318.12 1
 
2.0%
31.44 1
 
2.0%
67.63 1
 
2.0%

Length

2023-12-10T22:08:20.753913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:20.896402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
24.19 1
 
2.0%
14.06 1
 
2.0%
318.12 1
 
2.0%
31.44 1
 
2.0%
67.63 1
 
2.0%

순이익증가율기울기값
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
17.99
 
1
88.25
 
1
32.37
 
1
-115.24
 
1

Length

Max length7
Median length4
Mean length4.16
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row17.99
2nd row88.25
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
17.99 1
 
2.0%
88.25 1
 
2.0%
32.37 1
 
2.0%
-115.24 1
 
2.0%
234.86 1
 
2.0%

Length

2023-12-10T22:08:21.045815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:21.178690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
17.99 1
 
2.0%
88.25 1
 
2.0%
32.37 1
 
2.0%
115.24 1
 
2.0%
234.86 1
 
2.0%

DPS증가율기울기값
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
-10
 
1

Length

Max length4
Median length4
Mean length3.98
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
-10 1
 
2.0%

Length

2023-12-10T22:08:21.348651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:21.466424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
10 1
 
2.0%

이익잉여금증가율기울기값
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-54.32
 
1
29.33
 
1
-84.9
 
1
10.66
 
1

Length

Max length6
Median length4
Mean length4.12
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-54.32
2nd row29.33
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-54.32 1
 
2.0%
29.33 1
 
2.0%
-84.9 1
 
2.0%
10.66 1
 
2.0%
11.93 1
 
2.0%

Length

2023-12-10T22:08:21.622236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:21.780779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
54.32 1
 
2.0%
29.33 1
 
2.0%
84.9 1
 
2.0%
10.66 1
 
2.0%
11.93 1
 
2.0%

총자산회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-40.926667
Minimum-250.58
Maximum7.74
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:21.915627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-250.58
5-th percentile-189.0625
Q1-3.6275
median-0.075
Q31.6625
95-th percentile6.29
Maximum7.74
Range258.32
Interquartile range (IQR)5.29

Descriptive statistics

Standard deviation102.7872
Coefficient of variation (CV)-2.511497
Kurtosis5.9681278
Mean-40.926667
Median Absolute Deviation (MAD)3.225
Skewness-2.4410467
Sum-245.56
Variance10565.209
MonotonicityNot monotonic
2023-12-10T22:08:22.056248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-4.51 1
 
2.0%
1.94 1
 
2.0%
-250.58 1
 
2.0%
0.83 1
 
2.0%
7.74 1
 
2.0%
-0.98 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-250.58 1
2.0%
-4.51 1
2.0%
-0.98 1
2.0%
0.83 1
2.0%
1.94 1
2.0%
7.74 1
2.0%
ValueCountFrequency (%)
7.74 1
2.0%
1.94 1
2.0%
0.83 1
2.0%
-0.98 1
2.0%
-4.51 1
2.0%
-250.58 1
2.0%

총부채회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-35.11
Minimum-302.39
Maximum46.77
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:22.191697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-302.39
5-th percentile-231.69
Q1-12.43
median15.62
Q330.53
95-th percentile43.405
Maximum46.77
Range349.16
Interquartile range (IQR)42.96

Descriptive statistics

Standard deviation132.8898
Coefficient of variation (CV)-3.7849559
Kurtosis5.3879978
Mean-35.11
Median Absolute Deviation (MAD)24.42
Skewness-2.2942206
Sum-210.66
Variance17659.699
MonotonicityNot monotonic
2023-12-10T22:08:22.329740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
46.77 1
 
2.0%
22.19 1
 
2.0%
-302.39 1
 
2.0%
9.05 1
 
2.0%
33.31 1
 
2.0%
-19.59 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-302.39 1
2.0%
-19.59 1
2.0%
9.05 1
2.0%
22.19 1
2.0%
33.31 1
2.0%
46.77 1
2.0%
ValueCountFrequency (%)
46.77 1
2.0%
33.31 1
2.0%
22.19 1
2.0%
9.05 1
2.0%
-19.59 1
2.0%
-302.39 1
2.0%

총자본회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-282.30667
Minimum-1421.75
Maximum-0.81
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)12.0%
Memory size582.0 B
2023-12-10T22:08:22.461337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1421.75
5-th percentile-1092.705
Q1-105
median-70.725
Q3-27.735
95-th percentile-6.6725
Maximum-0.81
Range1420.94
Interquartile range (IQR)77.265

Descriptive statistics

Standard deviation559.83033
Coefficient of variation (CV)-1.9830574
Kurtosis5.8787116
Mean-282.30667
Median Absolute Deviation (MAD)40.655
Skewness-2.4178235
Sum-1693.84
Variance313410
MonotonicityNot monotonic
2023-12-10T22:08:22.585324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-105.57 1
 
2.0%
-38.16 1
 
2.0%
-1421.75 1
 
2.0%
-103.29 1
 
2.0%
-24.26 1
 
2.0%
-0.81 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-1421.75 1
2.0%
-105.57 1
2.0%
-103.29 1
2.0%
-38.16 1
2.0%
-24.26 1
2.0%
-0.81 1
2.0%
ValueCountFrequency (%)
-0.81 1
2.0%
-24.26 1
2.0%
-38.16 1
2.0%
-103.29 1
2.0%
-105.57 1
2.0%
-1421.75 1
2.0%

자본금회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-2920.4783
Minimum-15844.15
Maximum551.7
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)10.0%
Memory size582.0 B
2023-12-10T22:08:22.725302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-15844.15
5-th percentile-12187.692
Q1-1146.5375
median-489.14
Q3-37.1375
95-th percentile405.32
Maximum551.7
Range16395.85
Interquartile range (IQR)1109.4

Descriptive statistics

Standard deviation6364.2923
Coefficient of variation (CV)-2.1791952
Kurtosis5.7835753
Mean-2920.4783
Median Absolute Deviation (MAD)592.25
Skewness-2.392832
Sum-17522.87
Variance40504216
MonotonicityNot monotonic
2023-12-10T22:08:22.860603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-47.09 1
 
2.0%
-931.19 1
 
2.0%
-15844.15 1
 
2.0%
-1218.32 1
 
2.0%
551.7 1
 
2.0%
-33.82 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-15844.15 1
2.0%
-1218.32 1
2.0%
-931.19 1
2.0%
-47.09 1
2.0%
-33.82 1
2.0%
551.7 1
2.0%
ValueCountFrequency (%)
551.7 1
2.0%
-33.82 1
2.0%
-47.09 1
2.0%
-931.19 1
2.0%
-1218.32 1
2.0%
-15844.15 1
2.0%

유형자산회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-119.08167
Minimum-1100.3
Maximum394.31
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:22.977603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1100.3
5-th percentile-847.375
Q1-66.7825
median19.585
Q340.8225
95-th percentile305.965
Maximum394.31
Range1494.61
Interquartile range (IQR)107.605

Descriptive statistics

Standard deviation508.37487
Coefficient of variation (CV)-4.269128
Kurtosis4.2083209
Mean-119.08167
Median Absolute Deviation (MAD)64.765
Skewness-1.8256827
Sum-714.49
Variance258445.01
MonotonicityNot monotonic
2023-12-10T22:08:23.104518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
394.31 1
 
2.0%
40.93 1
 
2.0%
-1100.3 1
 
2.0%
-88.6 1
 
2.0%
40.5 1
 
2.0%
-1.33 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-1100.3 1
2.0%
-88.6 1
2.0%
-1.33 1
2.0%
40.5 1
2.0%
40.93 1
2.0%
394.31 1
2.0%
ValueCountFrequency (%)
394.31 1
2.0%
40.93 1
2.0%
40.5 1
2.0%
-1.33 1
2.0%
-88.6 1
2.0%
-1100.3 1
2.0%

재고자산회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-419.58167
Minimum-2935.3
Maximum236.08
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:23.229654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2935.3
5-th percentile-2202.7775
Q1-2.215
median19.27
Q3119.2425
95-th percentile214.16
Maximum236.08
Range3171.38
Interquartile range (IQR)121.4575

Descriptive statistics

Standard deviation1236.0042
Coefficient of variation (CV)-2.9458013
Kurtosis5.8812537
Mean-419.58167
Median Absolute Deviation (MAD)76.805
Skewness-2.4174556
Sum-2517.49
Variance1527706.4
MonotonicityNot monotonic
2023-12-10T22:08:23.369543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
236.08 1
 
2.0%
-5.21 1
 
2.0%
-2935.3 1
 
2.0%
148.4 1
 
2.0%
31.77 1
 
2.0%
6.77 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-2935.3 1
2.0%
-5.21 1
2.0%
6.77 1
2.0%
31.77 1
2.0%
148.4 1
2.0%
236.08 1
2.0%
ValueCountFrequency (%)
236.08 1
2.0%
148.4 1
2.0%
31.77 1
2.0%
6.77 1
2.0%
-5.21 1
2.0%
-2935.3 1
2.0%

매입채무회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean249.545
Minimum-929.98
Maximum1656.91
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:23.525439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-929.98
5-th percentile-736.8875
Q1-141.5925
median-26.465
Q3745.8125
95-th percentile1487.9025
Maximum1656.91
Range2586.89
Interquartile range (IQR)887.405

Descriptive statistics

Standard deviation920.21114
Coefficient of variation (CV)3.6875559
Kurtosis-0.20910236
Mean249.545
Median Absolute Deviation (MAD)517.33
Skewness0.5469441
Sum1497.27
Variance846788.54
MonotonicityNot monotonic
2023-12-10T22:08:23.679041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
980.88 1
 
2.0%
-93.54 1
 
2.0%
-929.98 1
 
2.0%
40.61 1
 
2.0%
1656.91 1
 
2.0%
-157.61 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-929.98 1
2.0%
-157.61 1
2.0%
-93.54 1
2.0%
40.61 1
2.0%
980.88 1
2.0%
1656.91 1
2.0%
ValueCountFrequency (%)
1656.91 1
2.0%
980.88 1
2.0%
40.61 1
2.0%
-93.54 1
2.0%
-157.61 1
2.0%
-929.98 1
2.0%

매출채권회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-29.108333
Minimum-407.77
Maximum131.96
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:23.787061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-407.77
5-th percentile-313.8275
Q1-18.2275
median24.475
Q369.6225
95-th percentile120.0225
Maximum131.96
Range539.73
Interquartile range (IQR)87.85

Descriptive statistics

Standard deviation193.86761
Coefficient of variation (CV)-6.66021
Kurtosis4.3612758
Mean-29.108333
Median Absolute Deviation (MAD)58.105
Skewness-1.9907755
Sum-174.65
Variance37584.651
MonotonicityNot monotonic
2023-12-10T22:08:23.906847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
84.21 1
 
2.0%
23.09 1
 
2.0%
-407.77 1
 
2.0%
131.96 1
 
2.0%
25.86 1
 
2.0%
-32.0 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-407.77 1
2.0%
-32.0 1
2.0%
23.09 1
2.0%
25.86 1
2.0%
84.21 1
2.0%
131.96 1
2.0%
ValueCountFrequency (%)
131.96 1
2.0%
84.21 1
2.0%
25.86 1
2.0%
23.09 1
2.0%
-32.0 1
2.0%
-407.77 1
2.0%

자본집약도비율기울기값
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
118065242.77
 
1
35018071.07
 
1
-53456053.13
 
1
54640948.11
 
1

Length

Max length12
Median length4
Mean length4.74
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row118065242.77
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
118065242.77 1
 
2.0%
35018071.07 1
 
2.0%
-53456053.13 1
 
2.0%
54640948.11 1
 
2.0%
61856504.27 1
 
2.0%

Length

2023-12-10T22:08:24.067942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:24.191967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
118065242.77 1
 
2.0%
35018071.07 1
 
2.0%
53456053.13 1
 
2.0%
54640948.11 1
 
2.0%
61856504.27 1
 
2.0%

종업원1인당인건비증가율기울기값
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
-56.5
 
1
39.64
 
1
28.52
 
1
1.11
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row-56.5
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
-56.5 1
 
2.0%
39.64 1
 
2.0%
28.52 1
 
2.0%
1.11 1
 
2.0%

Length

2023-12-10T22:08:24.323724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:24.438884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
56.5 1
 
2.0%
39.64 1
 
2.0%
28.52 1
 
2.0%
1.11 1
 
2.0%

종업원1인당매출금액증가율기울기값
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
-23.44
 
1
34.58
 
1
-7.79
 
1
6.81
 
1

Length

Max length6
Median length4
Mean length4.08
Min length4

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row-23.44
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
-23.44 1
 
2.0%
34.58 1
 
2.0%
-7.79 1
 
2.0%
6.81 1
 
2.0%

Length

2023-12-10T22:08:24.625517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:24.758233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
23.44 1
 
2.0%
34.58 1
 
2.0%
7.79 1
 
2.0%
6.81 1
 
2.0%

감가상각율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-0.53666667
Minimum-3.58
Maximum0.27
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.0%
Memory size582.0 B
2023-12-10T22:08:24.890467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.58
5-th percentile-2.7075
Q1-0.075
median-0.02
Q30.1625
95-th percentile0.2575
Maximum0.27
Range3.85
Interquartile range (IQR)0.2375

Descriptive statistics

Standard deviation1.4979141
Coefficient of variation (CV)-2.7911443
Kurtosis5.8073236
Mean-0.53666667
Median Absolute Deviation (MAD)0.155
Skewness-2.3978634
Sum-3.22
Variance2.2437467
MonotonicityNot monotonic
2023-12-10T22:08:25.015415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-3.58 1
 
2.0%
-0.01 1
 
2.0%
-0.09 1
 
2.0%
0.27 1
 
2.0%
-0.03 1
 
2.0%
0.22 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-3.58 1
2.0%
-0.09 1
2.0%
-0.03 1
2.0%
-0.01 1
2.0%
0.22 1
2.0%
0.27 1
2.0%
ValueCountFrequency (%)
0.27 1
2.0%
0.22 1
2.0%
-0.01 1
2.0%
-0.03 1
2.0%
-0.09 1
2.0%
-3.58 1
2.0%

총비용대비감가상각비율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-0.10833333
Minimum-0.49
Maximum0.05
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:25.177353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.49
5-th percentile-0.4275
Q1-0.185
median0
Q30.0275
95-th percentile0.045
Maximum0.05
Range0.54
Interquartile range (IQR)0.2125

Descriptive statistics

Standard deviation0.2151666
Coefficient of variation (CV)-1.9861533
Kurtosis1.2115024
Mean-0.10833333
Median Absolute Deviation (MAD)0.04
Skewness-1.4594327
Sum-0.65
Variance0.046296667
MonotonicityNot monotonic
2023-12-10T22:08:25.324616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-0.49 1
 
2.0%
-0.24 1
 
2.0%
0.03 1
 
2.0%
0.05 1
 
2.0%
-0.02 1
 
2.0%
0.02 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-0.49 1
2.0%
-0.24 1
2.0%
-0.02 1
2.0%
0.02 1
2.0%
0.03 1
2.0%
0.05 1
2.0%
ValueCountFrequency (%)
0.05 1
2.0%
0.03 1
2.0%
0.02 1
2.0%
-0.02 1
2.0%
-0.24 1
2.0%
-0.49 1
2.0%

매출금액대비금융비용부담율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-0.028333333
Minimum-0.69
Maximum1.27
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:25.442955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.69
5-th percentile-0.6775
Q1-0.5625
median-0.135
Q30.135
95-th percentile0.9925
Maximum1.27
Range1.96
Interquartile range (IQR)0.6975

Descriptive statistics

Standard deviation0.72551821
Coefficient of variation (CV)-25.606525
Kurtosis1.7909011
Mean-0.028333333
Median Absolute Deviation (MAD)0.4
Skewness1.2961268
Sum-0.17
Variance0.52637667
MonotonicityNot monotonic
2023-12-10T22:08:25.558820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-0.69 1
 
2.0%
0.06 1
 
2.0%
1.27 1
 
2.0%
-0.33 1
 
2.0%
-0.64 1
 
2.0%
0.16 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-0.69 1
2.0%
-0.64 1
2.0%
-0.33 1
2.0%
0.06 1
2.0%
0.16 1
2.0%
1.27 1
2.0%
ValueCountFrequency (%)
1.27 1
2.0%
0.16 1
2.0%
0.06 1
2.0%
-0.33 1
2.0%
-0.64 1
2.0%
-0.69 1
2.0%

배당총액증가율기울기값
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
-0.23
 
1

Length

Max length5
Median length4
Mean length4.02
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
-0.23 1
 
2.0%

Length

2023-12-10T22:08:25.690002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:25.807065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
0.23 1
 
2.0%

이익잉여금배당액증가율차기울기값
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
12.16
 
1

Length

Max length5
Median length4
Mean length4.02
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
12.16 1
 
2.0%

Length

2023-12-10T22:08:25.951317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:26.063552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
12.16 1
 
2.0%

매출금액대비운전자금비율기울기값
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
-0.01
 
3
0.06
 
1
0.01
 
1
0.03
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row-0.01
2nd row-0.01
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
-0.01 3
 
6.0%
0.06 1
 
2.0%
0.01 1
 
2.0%
0.03 1
 
2.0%

Length

2023-12-10T22:08:26.197600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:26.324037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0.01 4
 
8.0%
0.06 1
 
2.0%
0.03 1
 
2.0%

배당율기울기값
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0.0
 
3
2.43
 
1
7.5
 
1
-11.46
 
1

Length

Max length6
Median length4
Mean length3.96
Min length3

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row0.0
2nd row2.43
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
0.0 3
 
6.0%
2.43 1
 
2.0%
7.5 1
 
2.0%
-11.46 1
 
2.0%

Length

2023-12-10T22:08:26.441796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:26.549202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0.0 3
 
6.0%
2.43 1
 
2.0%
7.5 1
 
2.0%
11.46 1
 
2.0%

매출금액총이익율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean30.795
Minimum5.93
Maximum59.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:26.662591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.93
5-th percentile7.9875
Q116.6
median26.255
Q346.8675
95-th percentile57.6475
Maximum59.21
Range53.28
Interquartile range (IQR)30.2675

Descriptive statistics

Standard deviation21.193483
Coefficient of variation (CV)0.68821181
Kurtosis-1.5507887
Mean30.795
Median Absolute Deviation (MAD)16.21
Skewness0.42607343
Sum184.77
Variance449.16371
MonotonicityNot monotonic
2023-12-10T22:08:26.809443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
52.96 1
 
2.0%
28.59 1
 
2.0%
14.16 1
 
2.0%
5.93 1
 
2.0%
23.92 1
 
2.0%
59.21 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
5.93 1
2.0%
14.16 1
2.0%
23.92 1
2.0%
28.59 1
2.0%
52.96 1
2.0%
59.21 1
2.0%
ValueCountFrequency (%)
59.21 1
2.0%
52.96 1
2.0%
28.59 1
2.0%
23.92 1
2.0%
14.16 1
2.0%
5.93 1
2.0%

영업이익율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean10.125
Minimum0.59
Maximum18.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:26.949470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.59
5-th percentile2.045
Q16.665
median9.64
Q315.2475
95-th percentile17.6625
Maximum18.09
Range17.5
Interquartile range (IQR)8.5825

Descriptive statistics

Standard deviation6.5957918
Coefficient of variation (CV)0.65143623
Kurtosis-1.0448986
Mean10.125
Median Absolute Deviation (MAD)4.985
Skewness-0.19086727
Sum60.75
Variance43.50447
MonotonicityNot monotonic
2023-12-10T22:08:27.073536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
16.38 1
 
2.0%
7.43 1
 
2.0%
6.41 1
 
2.0%
0.59 1
 
2.0%
11.85 1
 
2.0%
18.09 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
0.59 1
2.0%
6.41 1
2.0%
7.43 1
2.0%
11.85 1
2.0%
16.38 1
2.0%
18.09 1
2.0%
ValueCountFrequency (%)
18.09 1
2.0%
16.38 1
2.0%
11.85 1
2.0%
7.43 1
2.0%
6.41 1
2.0%
0.59 1
2.0%

당기순이익율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean18.088333
Minimum1.15
Maximum74.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:27.189416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.15
5-th percentile1.745
Q14.7025
median8.42
Q311.17
95-th percentile59.2475
Maximum74.99
Range73.84
Interquartile range (IQR)6.4675

Descriptive statistics

Standard deviation28.144306
Coefficient of variation (CV)1.555937
Kurtosis5.6089719
Mean18.088333
Median Absolute Deviation (MAD)4.245
Skewness2.3449917
Sum108.53
Variance792.10198
MonotonicityNot monotonic
2023-12-10T22:08:27.324521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
12.02 1
 
2.0%
8.22 1
 
2.0%
3.53 1
 
2.0%
1.15 1
 
2.0%
8.62 1
 
2.0%
74.99 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
1.15 1
2.0%
3.53 1
2.0%
8.22 1
2.0%
8.62 1
2.0%
12.02 1
2.0%
74.99 1
2.0%
ValueCountFrequency (%)
74.99 1
2.0%
12.02 1
2.0%
8.62 1
2.0%
8.22 1
2.0%
3.53 1
2.0%
1.15 1
2.0%

매출원가율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean69.205
Minimum40.79
Maximum94.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:27.438052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.79
5-th percentile42.3525
Q153.1325
median73.745
Q383.4
95-th percentile92.0125
Maximum94.07
Range53.28
Interquartile range (IQR)30.2675

Descriptive statistics

Standard deviation21.193483
Coefficient of variation (CV)0.30624207
Kurtosis-1.5507887
Mean69.205
Median Absolute Deviation (MAD)16.21
Skewness-0.42607343
Sum415.23
Variance449.16371
MonotonicityNot monotonic
2023-12-10T22:08:27.928129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
47.04 1
 
2.0%
71.41 1
 
2.0%
85.84 1
 
2.0%
94.07 1
 
2.0%
76.08 1
 
2.0%
40.79 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
40.79 1
2.0%
47.04 1
2.0%
71.41 1
2.0%
76.08 1
2.0%
85.84 1
2.0%
94.07 1
2.0%
ValueCountFrequency (%)
94.07 1
2.0%
85.84 1
2.0%
76.08 1
2.0%
71.41 1
2.0%
47.04 1
2.0%
40.79 1
2.0%

판관비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean20.675
Minimum5.33
Maximum41.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:28.063120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.33
5-th percentile5.9375
Q18.84
median16.625
Q332.7275
95-th percentile39.9925
Maximum41.13
Range35.8
Interquartile range (IQR)23.8875

Descriptive statistics

Standard deviation15.150982
Coefficient of variation (CV)0.73281656
Kurtosis-1.8956816
Mean20.675
Median Absolute Deviation (MAD)10.08
Skewness0.53304825
Sum124.05
Variance229.55227
MonotonicityNot monotonic
2023-12-10T22:08:28.205318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
36.58 1
 
2.0%
21.17 1
 
2.0%
7.76 1
 
2.0%
5.33 1
 
2.0%
12.08 1
 
2.0%
41.13 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
5.33 1
2.0%
7.76 1
2.0%
12.08 1
2.0%
21.17 1
2.0%
36.58 1
2.0%
41.13 1
2.0%
ValueCountFrequency (%)
41.13 1
2.0%
36.58 1
2.0%
21.17 1
2.0%
12.08 1
2.0%
7.76 1
2.0%
5.33 1
2.0%

자산수익율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean10.378333
Minimum3.02
Maximum29.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:28.339674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.02
5-th percentile3.635
Q15.6075
median7.105
Q39.5925
95-th percentile24.645
Maximum29.51
Range26.49
Interquartile range (IQR)3.985

Descriptive statistics

Standard deviation9.6766015
Coefficient of variation (CV)0.93238492
Kurtosis4.7572742
Mean10.378333
Median Absolute Deviation (MAD)2.285
Skewness2.1163731
Sum62.27
Variance93.636617
MonotonicityNot monotonic
2023-12-10T22:08:28.489641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5.48 1
 
2.0%
10.05 1
 
2.0%
5.99 1
 
2.0%
3.02 1
 
2.0%
8.22 1
 
2.0%
29.51 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
3.02 1
2.0%
5.48 1
2.0%
5.99 1
2.0%
8.22 1
2.0%
10.05 1
2.0%
29.51 1
2.0%
ValueCountFrequency (%)
29.51 1
2.0%
10.05 1
2.0%
8.22 1
2.0%
5.99 1
2.0%
5.48 1
2.0%
3.02 1
2.0%

자기자본이익율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean18.936667
Minimum9.94
Maximum35.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:28.641443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.94
5-th percentile9.985
Q111.6475
median17.31
Q322.38
95-th percentile32.35
Maximum35.23
Range25.29
Interquartile range (IQR)10.7325

Descriptive statistics

Standard deviation9.5347358
Coefficient of variation (CV)0.50350655
Kurtosis0.83419001
Mean18.936667
Median Absolute Deviation (MAD)6.795
Skewness1.0385134
Sum113.62
Variance90.911187
MonotonicityNot monotonic
2023-12-10T22:08:28.783691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
9.94 1
 
2.0%
16.23 1
 
2.0%
23.71 1
 
2.0%
10.12 1
 
2.0%
18.39 1
 
2.0%
35.23 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
9.94 1
2.0%
10.12 1
2.0%
16.23 1
2.0%
18.39 1
2.0%
23.71 1
2.0%
35.23 1
2.0%
ValueCountFrequency (%)
35.23 1
2.0%
23.71 1
2.0%
18.39 1
2.0%
16.23 1
2.0%
10.12 1
2.0%
9.94 1
2.0%

매출금액대비인건비비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean5.855
Minimum1.24
Maximum16.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:28.902863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.24
5-th percentile1.3875
Q12.2475
median3.57
Q37.4875
95-th percentile14.305
Maximum16.15
Range14.91
Interquartile range (IQR)5.24

Descriptive statistics

Standard deviation5.699743
Coefficient of variation (CV)0.973483
Kurtosis1.7596377
Mean5.855
Median Absolute Deviation (MAD)2.035
Skewness1.5042757
Sum35.13
Variance32.48707
MonotonicityNot monotonic
2023-12-10T22:08:29.027138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.64 1
 
2.0%
8.77 1
 
2.0%
1.24 1
 
2.0%
1.83 1
 
2.0%
3.5 1
 
2.0%
16.15 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
1.24 1
2.0%
1.83 1
2.0%
3.5 1
2.0%
3.64 1
2.0%
8.77 1
2.0%
16.15 1
2.0%
ValueCountFrequency (%)
16.15 1
2.0%
8.77 1
2.0%
3.64 1
2.0%
3.5 1
2.0%
1.83 1
2.0%
1.24 1
2.0%

이자보상비율
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean21.488333
Minimum0
Maximum98.7
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:29.164145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7375
Q13.3325
median7.495
Q311.845
95-th percentile77.0975
Maximum98.7
Range98.7
Interquartile range (IQR)8.5125

Descriptive statistics

Standard deviation38.108992
Coefficient of variation (CV)1.7734736
Kurtosis5.6905277
Mean21.488333
Median Absolute Deviation (MAD)4.67
Skewness2.3687199
Sum128.93
Variance1452.2953
MonotonicityNot monotonic
2023-12-10T22:08:29.322303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4.48 1
 
2.0%
2.95 1
 
2.0%
12.29 1
 
2.0%
98.7 1
 
2.0%
10.51 1
 
2.0%
0.0 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
0.0 1
2.0%
2.95 1
2.0%
4.48 1
2.0%
10.51 1
2.0%
12.29 1
2.0%
98.7 1
2.0%
ValueCountFrequency (%)
98.7 1
2.0%
12.29 1
2.0%
10.51 1
2.0%
4.48 1
2.0%
2.95 1
2.0%
0.0 1
2.0%

적립금비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean84.078333
Minimum44.05
Maximum103.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:29.463821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.05
5-th percentile53.1
Q182.08
median90.75
Q394.8975
95-th percentile101.3925
Maximum103.45
Range59.4
Interquartile range (IQR)12.8175

Descriptive statistics

Standard deviation21.09772
Coefficient of variation (CV)0.25092933
Kurtosis3.4069359
Mean84.078333
Median Absolute Deviation (MAD)7.485
Skewness-1.742358
Sum504.47
Variance445.11378
MonotonicityNot monotonic
2023-12-10T22:08:29.608279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
44.05 1
 
2.0%
80.25 1
 
2.0%
95.22 1
 
2.0%
103.45 1
 
2.0%
93.93 1
 
2.0%
87.57 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
44.05 1
2.0%
80.25 1
2.0%
87.57 1
2.0%
93.93 1
2.0%
95.22 1
2.0%
103.45 1
2.0%
ValueCountFrequency (%)
103.45 1
2.0%
95.22 1
2.0%
93.93 1
2.0%
87.57 1
2.0%
80.25 1
2.0%
44.05 1
2.0%

차입금의존도비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0.0
 
2
2.6
 
1
36.47
 
1
28.45
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row0.0
2nd row2.6
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
0.0 2
 
4.0%
2.6 1
 
2.0%
36.47 1
 
2.0%
28.45 1
 
2.0%
34.44 1
 
2.0%

Length

2023-12-10T22:08:29.774734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:29.902174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0.0 2
 
4.0%
2.6 1
 
2.0%
36.47 1
 
2.0%
28.45 1
 
2.0%
34.44 1
 
2.0%

차입금비율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0.0
 
2
4.19
 
1
144.27
 
1
95.39
 
1

Length

Max length6
Median length4
Mean length4.04
Min length3

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row0.0
2nd row4.19
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
0.0 2
 
4.0%
4.19 1
 
2.0%
144.27 1
 
2.0%
95.39 1
 
2.0%
77.03 1
 
2.0%

Length

2023-12-10T22:08:30.028968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:30.155589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0.0 2
 
4.0%
4.19 1
 
2.0%
144.27 1
 
2.0%
95.39 1
 
2.0%
77.03 1
 
2.0%

부채비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean136.155
Minimum19.39
Maximum295.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:30.263045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.39
5-th percentile29.8925
Q166.445
median102.62
Q3207.3825
95-th percentile280.53
Maximum295.61
Range276.22
Interquartile range (IQR)140.9375

Descriptive statistics

Standard deviation107.34112
Coefficient of variation (CV)0.7883744
Kurtosis-1.140361
Mean136.155
Median Absolute Deviation (MAD)62.225
Skewness0.69235126
Sum816.93
Variance11522.115
MonotonicityNot monotonic
2023-12-10T22:08:30.363569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
81.58 1
 
2.0%
61.4 1
 
2.0%
295.61 1
 
2.0%
235.29 1
 
2.0%
123.66 1
 
2.0%
19.39 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
19.39 1
2.0%
61.4 1
2.0%
81.58 1
2.0%
123.66 1
2.0%
235.29 1
2.0%
295.61 1
2.0%
ValueCountFrequency (%)
295.61 1
2.0%
235.29 1
2.0%
123.66 1
2.0%
81.58 1
2.0%
61.4 1
2.0%
19.39 1
2.0%

유보율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean1292.4283
Minimum291.2
Maximum2322.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:30.487499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum291.2
5-th percentile320.17
Q1636.8425
median1406.89
Q31811.8525
95-th percentile2221.9225
Maximum2322.59
Range2031.39
Interquartile range (IQR)1175.01

Descriptive statistics

Standard deviation810.00321
Coefficient of variation (CV)0.62672969
Kurtosis-1.5309588
Mean1292.4283
Median Absolute Deviation (MAD)714.365
Skewness-0.19750038
Sum7754.57
Variance656105.2
MonotonicityNot monotonic
2023-12-10T22:08:30.633815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
291.2 1
 
2.0%
407.08 1
 
2.0%
1326.13 1
 
2.0%
1919.92 1
 
2.0%
2322.59 1
 
2.0%
1487.65 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
291.2 1
2.0%
407.08 1
2.0%
1326.13 1
2.0%
1487.65 1
2.0%
1919.92 1
2.0%
2322.59 1
2.0%
ValueCountFrequency (%)
2322.59 1
2.0%
1919.92 1
2.0%
1487.65 1
2.0%
1326.13 1
2.0%
407.08 1
2.0%
291.2 1
2.0%

유동비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean209.35833
Minimum80.24
Maximum579.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:30.788608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.24
5-th percentile82.9
Q192.5875
median118.8
Q3235.9275
95-th percentile501.6025
Maximum579.49
Range499.25
Interquartile range (IQR)143.34

Descriptive statistics

Standard deviation194.12837
Coefficient of variation (CV)0.92725409
Kurtosis3.3285164
Mean209.35833
Median Absolute Deviation (MAD)33.24
Skewness1.8602853
Sum1256.15
Variance37685.824
MonotonicityNot monotonic
2023-12-10T22:08:30.940534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
80.24 1
 
2.0%
267.94 1
 
2.0%
97.71 1
 
2.0%
90.88 1
 
2.0%
139.89 1
 
2.0%
579.49 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
80.24 1
2.0%
90.88 1
2.0%
97.71 1
2.0%
139.89 1
2.0%
267.94 1
2.0%
579.49 1
2.0%
ValueCountFrequency (%)
579.49 1
2.0%
267.94 1
2.0%
139.89 1
2.0%
97.71 1
2.0%
90.88 1
2.0%
80.24 1
2.0%

당좌비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean156.80167
Minimum48.98
Maximum490.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:31.064249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.98
5-th percentile50.245
Q159.7425
median90.865
Q3150.75
95-th percentile409.025
Maximum490.02
Range441.04
Interquartile range (IQR)91.0075

Descriptive statistics

Standard deviation168.75628
Coefficient of variation (CV)1.0762403
Kurtosis4.6452308
Mean156.80167
Median Absolute Deviation (MAD)39.355
Skewness2.1229793
Sum940.81
Variance28478.681
MonotonicityNot monotonic
2023-12-10T22:08:31.187197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
54.04 1
 
2.0%
166.04 1
 
2.0%
48.98 1
 
2.0%
76.85 1
 
2.0%
104.88 1
 
2.0%
490.02 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
48.98 1
2.0%
54.04 1
2.0%
76.85 1
2.0%
104.88 1
2.0%
166.04 1
2.0%
490.02 1
2.0%
ValueCountFrequency (%)
490.02 1
2.0%
166.04 1
2.0%
104.88 1
2.0%
76.85 1
2.0%
54.04 1
2.0%
48.98 1
2.0%

재고자산대비매입채무비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean100.28
Minimum12.68
Maximum377.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:31.305410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.68
5-th percentile14.5925
Q126.485
median57.89
Q373.8825
95-th percentile302.2175
Maximum377.99
Range365.31
Interquartile range (IQR)47.3975

Descriptive statistics

Standard deviation138.39181
Coefficient of variation (CV)1.3800539
Kurtosis5.3111574
Mean100.28
Median Absolute Deviation (MAD)27.285
Skewness2.2663374
Sum601.68
Variance19152.292
MonotonicityNot monotonic
2023-12-10T22:08:31.430977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20.33 1
 
2.0%
70.83 1
 
2.0%
74.9 1
 
2.0%
377.99 1
 
2.0%
44.95 1
 
2.0%
12.68 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
12.68 1
2.0%
20.33 1
2.0%
44.95 1
2.0%
70.83 1
2.0%
74.9 1
2.0%
377.99 1
2.0%
ValueCountFrequency (%)
377.99 1
2.0%
74.9 1
2.0%
70.83 1
2.0%
44.95 1
2.0%
20.33 1
2.0%
12.68 1
2.0%

매입채무대비매출채권비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean445.035
Minimum19.29
Maximum1987.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:31.552227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.29
5-th percentile28.035
Q167.68
median128.695
Q3300.95
95-th percentile1578.725
Maximum1987.82
Range1968.53
Interquartile range (IQR)233.27

Descriptive statistics

Standard deviation764.7101
Coefficient of variation (CV)1.7183145
Kurtosis5.5038429
Mean445.035
Median Absolute Deviation (MAD)91.915
Skewness2.3280949
Sum2670.21
Variance584781.54
MonotonicityNot monotonic
2023-12-10T22:08:31.687388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
351.44 1
 
2.0%
107.91 1
 
2.0%
19.29 1
 
2.0%
54.27 1
 
2.0%
149.48 1
 
2.0%
1987.82 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
19.29 1
2.0%
54.27 1
2.0%
107.91 1
2.0%
149.48 1
2.0%
351.44 1
2.0%
1987.82 1
2.0%
ValueCountFrequency (%)
1987.82 1
2.0%
351.44 1
2.0%
149.48 1
2.0%
107.91 1
2.0%
54.27 1
2.0%
19.29 1
2.0%

총자본대비순운전자본비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean19.095
Minimum-18.93
Maximum69.53
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)6.0%
Memory size582.0 B
2023-12-10T22:08:31.824328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-18.93
5-th percentile-16.1625
Q1-7.465
median13.735
Q341.7075
95-th percentile63.2375
Maximum69.53
Range88.46
Interquartile range (IQR)49.1725

Descriptive statistics

Standard deviation35.250934
Coefficient of variation (CV)1.8460819
Kurtosis-1.7361531
Mean19.095
Median Absolute Deviation (MAD)26.11
Skewness0.38806023
Sum114.57
Variance1242.6283
MonotonicityNot monotonic
2023-12-10T22:08:31.946249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-7.86 1
 
2.0%
69.53 1
 
2.0%
-6.28 1
 
2.0%
-18.93 1
 
2.0%
33.75 1
 
2.0%
44.36 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-18.93 1
2.0%
-7.86 1
2.0%
-6.28 1
2.0%
33.75 1
2.0%
44.36 1
2.0%
69.53 1
2.0%
ValueCountFrequency (%)
69.53 1
2.0%
44.36 1
2.0%
33.75 1
2.0%
-6.28 1
2.0%
-7.86 1
2.0%
-18.93 1
2.0%

매출금액증가율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean18.075
Minimum-25.79
Maximum38.19
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)2.0%
Memory size582.0 B
2023-12-10T22:08:32.072522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-25.79
5-th percentile-15.64
Q116.47
median25.145
Q330.4225
95-th percentile36.38
Maximum38.19
Range63.98
Interquartile range (IQR)13.9525

Descriptive statistics

Standard deviation22.945384
Coefficient of variation (CV)1.2694541
Kurtosis3.616864
Mean18.075
Median Absolute Deviation (MAD)8.07
Skewness-1.8098086
Sum108.45
Variance526.49063
MonotonicityNot monotonic
2023-12-10T22:08:32.230213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
38.19 1
 
2.0%
14.81 1
 
2.0%
-25.79 1
 
2.0%
21.45 1
 
2.0%
30.95 1
 
2.0%
28.84 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-25.79 1
2.0%
14.81 1
2.0%
21.45 1
2.0%
28.84 1
2.0%
30.95 1
2.0%
38.19 1
2.0%
ValueCountFrequency (%)
38.19 1
2.0%
30.95 1
2.0%
28.84 1
2.0%
21.45 1
2.0%
14.81 1
2.0%
-25.79 1
2.0%

영업이익증가율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean84.27
Minimum-105.9
Maximum357.62
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)2.0%
Memory size582.0 B
2023-12-10T22:08:32.335779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-105.9
5-th percentile-79.2025
Q13.8775
median43.87
Q3142.6775
95-th percentile309.5325
Maximum357.62
Range463.52
Interquartile range (IQR)138.8

Descriptive statistics

Standard deviation160.98951
Coefficient of variation (CV)1.9104013
Kurtosis1.0534382
Mean84.27
Median Absolute Deviation (MAD)82.19
Skewness0.94432178
Sum505.62
Variance25917.624
MonotonicityNot monotonic
2023-12-10T22:08:32.436007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
165.27 1
 
2.0%
0.89 1
 
2.0%
74.9 1
 
2.0%
-105.9 1
 
2.0%
12.84 1
 
2.0%
357.62 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-105.9 1
2.0%
0.89 1
2.0%
12.84 1
2.0%
74.9 1
2.0%
165.27 1
2.0%
357.62 1
2.0%
ValueCountFrequency (%)
357.62 1
2.0%
165.27 1
2.0%
74.9 1
2.0%
12.84 1
2.0%
0.89 1
2.0%
-105.9 1
2.0%

순이익증가율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean201.775
Minimum-108.76
Maximum1213.34
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:32.535539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-108.76
5-th percentile-83.555
Q1-1.8175
median24.355
Q357.015
95-th percentile926.33
Maximum1213.34
Range1322.1
Interquartile range (IQR)58.8325

Descriptive statistics

Standard deviation499.07496
Coefficient of variation (CV)2.4734232
Kurtosis5.7176405
Mean201.775
Median Absolute Deviation (MAD)36.62
Skewness2.3702976
Sum1210.65
Variance249075.82
MonotonicityNot monotonic
2023-12-10T22:08:32.646623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
65.3 1
 
2.0%
16.55 1
 
2.0%
32.16 1
 
2.0%
-108.76 1
 
2.0%
-7.94 1
 
2.0%
1213.34 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-108.76 1
2.0%
-7.94 1
2.0%
16.55 1
2.0%
32.16 1
2.0%
65.3 1
2.0%
1213.34 1
2.0%
ValueCountFrequency (%)
1213.34 1
2.0%
65.3 1
2.0%
32.16 1
2.0%
16.55 1
2.0%
-7.94 1
2.0%
-108.76 1
2.0%

DPS증가율
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
0
 
1

Length

Max length4
Median length4
Mean length3.94
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
0 1
 
2.0%

Length

2023-12-10T22:08:32.774419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:32.890954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
0 1
 
2.0%

이익잉여금증가율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean38.231667
Minimum-17.74
Maximum98.82
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)4.0%
Memory size582.0 B
2023-12-10T22:08:32.993668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-17.74
5-th percentile-15.41
Q13.12
median44.085
Q364.0275
95-th percentile91.255
Maximum98.82
Range116.56
Interquartile range (IQR)60.9075

Descriptive statistics

Standard deviation44.830794
Coefficient of variation (CV)1.1726089
Kurtosis-1.2425231
Mean38.231667
Median Absolute Deviation (MAD)38.49
Skewness-0.082419251
Sum229.39
Variance2009.8001
MonotonicityNot monotonic
2023-12-10T22:08:33.116428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-8.42 1
 
2.0%
50.43 1
 
2.0%
98.82 1
 
2.0%
-17.74 1
 
2.0%
37.74 1
 
2.0%
68.56 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-17.74 1
2.0%
-8.42 1
2.0%
37.74 1
2.0%
50.43 1
2.0%
68.56 1
2.0%
98.82 1
2.0%
ValueCountFrequency (%)
98.82 1
2.0%
68.56 1
2.0%
50.43 1
2.0%
37.74 1
2.0%
-8.42 1
2.0%
-17.74 1
2.0%

총자산회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean128.90833
Minimum53.22
Maximum239.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:33.302103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.22
5-th percentile55.2
Q175.4825
median129.43
Q3155.5975
95-th percentile219.8325
Maximum239.55
Range186.33
Interquartile range (IQR)80.115

Descriptive statistics

Standard deviation69.009166
Coefficient of variation (CV)0.53533518
Kurtosis0.071645517
Mean128.90833
Median Absolute Deviation (MAD)49.77
Skewness0.58609453
Sum773.45
Variance4762.265
MonotonicityNot monotonic
2023-12-10T22:08:33.422730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
61.14 1
 
2.0%
140.35 1
 
2.0%
160.68 1
 
2.0%
239.55 1
 
2.0%
118.51 1
 
2.0%
53.22 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
53.22 1
2.0%
61.14 1
2.0%
118.51 1
2.0%
140.35 1
2.0%
160.68 1
2.0%
239.55 1
2.0%
ValueCountFrequency (%)
239.55 1
2.0%
160.68 1
2.0%
140.35 1
2.0%
118.51 1
2.0%
61.14 1
2.0%
53.22 1
2.0%

총부채회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean269.495
Minimum172.39
Maximum369.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:33.540950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172.39
5-th percentile180.8175
Q1213.7875
median274.155
Q3318.2925
95-th percentile357.3425
Maximum369.6
Range197.21
Interquartile range (IQR)104.505

Descriptive statistics

Standard deviation76.032534
Coefficient of variation (CV)0.28212966
Kurtosis-1.7146186
Mean269.495
Median Absolute Deviation (MAD)57.235
Skewness0.0034698703
Sum1616.97
Variance5780.9462
MonotonicityNot monotonic
2023-12-10T22:08:33.678574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
172.39 1
 
2.0%
311.46 1
 
2.0%
206.1 1
 
2.0%
320.57 1
 
2.0%
236.85 1
 
2.0%
369.6 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
172.39 1
2.0%
206.1 1
2.0%
236.85 1
2.0%
311.46 1
2.0%
320.57 1
2.0%
369.6 1
2.0%
ValueCountFrequency (%)
369.6 1
2.0%
320.57 1
2.0%
311.46 1
2.0%
236.85 1
2.0%
206.1 1
2.0%
172.39 1
2.0%

총자본회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean387.75667
Minimum62.18
Maximum947.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:33.815229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.18
5-th percentile70.32
Q1130.3575
median246.335
Q3610.7425
95-th percentile893.1275
Maximum947.78
Range885.6
Interquartile range (IQR)480.385

Descriptive statistics

Standard deviation363.92715
Coefficient of variation (CV)0.93854517
Kurtosis-1.0072821
Mean387.75667
Median Absolute Deviation (MAD)167.875
Skewness0.93385042
Sum2326.54
Variance132442.97
MonotonicityNot monotonic
2023-12-10T22:08:33.959427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
94.74 1
 
2.0%
255.46 1
 
2.0%
729.17 1
 
2.0%
947.78 1
 
2.0%
237.21 1
 
2.0%
62.18 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
62.18 1
2.0%
94.74 1
2.0%
237.21 1
2.0%
255.46 1
2.0%
729.17 1
2.0%
947.78 1
2.0%
ValueCountFrequency (%)
947.78 1
2.0%
729.17 1
2.0%
255.46 1
2.0%
237.21 1
2.0%
94.74 1
2.0%
62.18 1
2.0%

자본금회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean5486.685
Minimum155.08
Maximum16374.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:34.089339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum155.08
5-th percentile324.18
Q1891.9025
median3105.635
Q38295.39
95-th percentile14617.8
Maximum16374.46
Range16219.38
Interquartile range (IQR)7403.4875

Descriptive statistics

Standard deviation6374.16
Coefficient of variation (CV)1.1617507
Kurtosis0.50578404
Mean5486.685
Median Absolute Deviation (MAD)2612.355
Skewness1.1697207
Sum32920.11
Variance40629916
MonotonicityNot monotonic
2023-12-10T22:08:34.217232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
155.08 1
 
2.0%
1073.17 1
 
2.0%
9347.82 1
 
2.0%
16374.46 1
 
2.0%
5138.1 1
 
2.0%
831.48 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
155.08 1
2.0%
831.48 1
2.0%
1073.17 1
2.0%
5138.1 1
2.0%
9347.82 1
2.0%
16374.46 1
2.0%
ValueCountFrequency (%)
16374.46 1
2.0%
9347.82 1
2.0%
5138.1 1
2.0%
1073.17 1
2.0%
831.48 1
2.0%
155.08 1
2.0%

유형자산회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean777.93333
Minimum205.77
Maximum2368.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:34.363544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205.77
5-th percentile234.6125
Q1370.335
median557.82
Q3641.865
95-th percentile1940.4975
Maximum2368.47
Range2162.7
Interquartile range (IQR)271.53

Descriptive statistics

Standard deviation797.57737
Coefficient of variation (CV)1.0252516
Kurtosis5.0916754
Mean777.93333
Median Absolute Deviation (MAD)167.72
Skewness2.1971905
Sum4667.6
Variance636129.67
MonotonicityNot monotonic
2023-12-10T22:08:34.487062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2368.47 1
 
2.0%
517.92 1
 
2.0%
656.58 1
 
2.0%
597.72 1
 
2.0%
321.14 1
 
2.0%
205.77 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
205.77 1
2.0%
321.14 1
2.0%
517.92 1
2.0%
597.72 1
2.0%
656.58 1
2.0%
2368.47 1
2.0%
ValueCountFrequency (%)
2368.47 1
2.0%
656.58 1
2.0%
597.72 1
2.0%
517.92 1
2.0%
321.14 1
2.0%
205.77 1
2.0%

재고자산회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean1042.5867
Minimum492.77
Maximum1829.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:34.611840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum492.77
5-th percentile501.1075
Q1578.4125
median853.275
Q31518.58
95-th percentile1797.05
Maximum1829.06
Range1336.29
Interquartile range (IQR)940.1675

Descriptive statistics

Standard deviation586.62248
Coefficient of variation (CV)0.56266064
Kurtosis-1.8638925
Mean1042.5867
Median Absolute Deviation (MAD)343.83
Skewness0.65175133
Sum6255.52
Variance344125.94
MonotonicityNot monotonic
2023-12-10T22:08:34.754900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
971.26 1
 
2.0%
492.77 1
 
2.0%
735.29 1
 
2.0%
1701.02 1
 
2.0%
1829.06 1
 
2.0%
526.12 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
492.77 1
2.0%
526.12 1
2.0%
735.29 1
2.0%
971.26 1
2.0%
1701.02 1
2.0%
1829.06 1
2.0%
ValueCountFrequency (%)
1829.06 1
2.0%
1701.02 1
2.0%
971.26 1
2.0%
735.29 1
2.0%
526.12 1
2.0%
492.77 1
2.0%

매입채무회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2451.43
Minimum619.96
Maximum4305.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:34.871000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum619.96
5-th percentile650.475
Q1756.6925
median2410.805
Q34169.775
95-th percentile4284.0425
Maximum4305.59
Range3685.63
Interquartile range (IQR)3413.0825

Descriptive statistics

Standard deviation1898.8473
Coefficient of variation (CV)0.77458759
Kurtosis-3.2954899
Mean2451.43
Median Absolute Deviation (MAD)1729.815
Skewness0.0057082293
Sum14708.58
Variance3605620.9
MonotonicityNot monotonic
2023-12-10T22:08:35.014619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4020.9 1
 
2.0%
800.71 1
 
2.0%
619.96 1
 
2.0%
742.02 1
 
2.0%
4219.4 1
 
2.0%
4305.59 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
619.96 1
2.0%
742.02 1
2.0%
800.71 1
2.0%
4020.9 1
2.0%
4219.4 1
2.0%
4305.59 1
2.0%
ValueCountFrequency (%)
4305.59 1
2.0%
4219.4 1
2.0%
4020.9 1
2.0%
800.71 1
2.0%
742.02 1
2.0%
619.96 1
2.0%

매출채권회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean1028.9617
Minimum265.68
Maximum1818.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:35.134589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum265.68
5-th percentile387.7625
Q1762.0275
median970.4
Q31334.495
95-th percentile1712.75
Maximum1818.86
Range1553.18
Interquartile range (IQR)572.4675

Descriptive statistics

Standard deviation545.98593
Coefficient of variation (CV)0.53061833
Kurtosis-0.29479
Mean1028.9617
Median Absolute Deviation (MAD)320.205
Skewness0.11768432
Sum6173.77
Variance298100.63
MonotonicityNot monotonic
2023-12-10T22:08:35.262860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1154.72 1
 
2.0%
754.01 1
 
2.0%
786.08 1
 
2.0%
1394.42 1
 
2.0%
1818.86 1
 
2.0%
265.68 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
265.68 1
2.0%
754.01 1
2.0%
786.08 1
2.0%
1154.72 1
2.0%
1394.42 1
2.0%
1818.86 1
2.0%
ValueCountFrequency (%)
1818.86 1
2.0%
1394.42 1
2.0%
1154.72 1
2.0%
786.08 1
2.0%
754.01 1
2.0%
265.68 1
2.0%

자본집약도비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean3.8568219 × 108
Minimum1.4057736 × 108
Maximum7.2392184 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:35.391487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4057736 × 108
5-th percentile1.5479068 × 108
Q12.1350163 × 108
median2.9638269 × 108
Q35.7731113 × 108
95-th percentile7.0779085 × 108
Maximum7.2392184 × 108
Range5.8334448 × 108
Interquartile range (IQR)3.638095 × 108

Descriptive statistics

Standard deviation2.4624944 × 108
Coefficient of variation (CV)0.6384776
Kurtosis-1.7169349
Mean3.8568219 × 108
Median Absolute Deviation (MAD)1.2737867 × 108
Skewness0.71802134
Sum2.3140931 × 109
Variance6.0638786 × 1016
MonotonicityNot monotonic
2023-12-10T22:08:35.521390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
723921840.2 1
 
2.0%
140577356.76 1
 
2.0%
197430666.59 1
 
2.0%
331050840.09 1
 
2.0%
261714532.28 1
 
2.0%
659397897.99 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
140577356.76 1
2.0%
197430666.59 1
2.0%
261714532.28 1
2.0%
331050840.09 1
2.0%
659397897.99 1
2.0%
723921840.2 1
2.0%
ValueCountFrequency (%)
723921840.2 1
2.0%
659397897.99 1
2.0%
331050840.09 1
2.0%
261714532.28 1
2.0%
197430666.59 1
2.0%
140577356.76 1
2.0%

종업원1인당인건비증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
-7.99
 
1
-1.24
 
1
29.0
 
1
26.11
 
1

Length

Max length5
Median length4
Mean length4.06
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row-7.99
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
-7.99 1
 
2.0%
-1.24 1
 
2.0%
29.0 1
 
2.0%
26.11 1
 
2.0%
6.29 1
 
2.0%

Length

2023-12-10T22:08:35.680233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:35.840427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
7.99 1
 
2.0%
1.24 1
 
2.0%
29.0 1
 
2.0%
26.11 1
 
2.0%
6.29 1
 
2.0%

종업원1인당매출금액증가율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
4.35
 
1
-24.14
 
1
45.29
 
1
31.65
 
1

Length

Max length6
Median length4
Mean length4.1
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row4.35
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
4.35 1
 
2.0%
-24.14 1
 
2.0%
45.29 1
 
2.0%
31.65 1
 
2.0%
24.12 1
 
2.0%

Length

2023-12-10T22:08:36.006968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:36.142244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
4.35 1
 
2.0%
24.14 1
 
2.0%
45.29 1
 
2.0%
31.65 1
 
2.0%
24.12 1
 
2.0%

감가상각율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean6.1933333
Minimum1.07
Maximum24.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:36.265065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.07
5-th percentile1.12
Q11.365
median1.77
Q35.49
95-th percentile20.115
Maximum24.59
Range23.52
Interquartile range (IQR)4.125

Descriptive statistics

Standard deviation9.2556181
Coefficient of variation (CV)1.4944486
Kurtosis4.8704071
Mean6.1933333
Median Absolute Deviation (MAD)0.6
Skewness2.194089
Sum37.16
Variance85.666467
MonotonicityNot monotonic
2023-12-10T22:08:36.388010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
24.59 1
 
2.0%
6.69 1
 
2.0%
1.27 1
 
2.0%
1.65 1
 
2.0%
1.07 1
 
2.0%
1.89 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
1.07 1
2.0%
1.27 1
2.0%
1.65 1
2.0%
1.89 1
2.0%
6.69 1
2.0%
24.59 1
2.0%
ValueCountFrequency (%)
24.59 1
2.0%
6.69 1
2.0%
1.89 1
2.0%
1.65 1
2.0%
1.27 1
2.0%
1.07 1
2.0%

총비용대비감가상각비율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean0.65666667
Minimum0.18
Maximum1.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:36.487608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile0.2
Q10.305
median0.515
Q30.7025
95-th percentile1.4825
Maximum1.73
Range1.55
Interquartile range (IQR)0.3975

Descriptive statistics

Standard deviation0.56478905
Coefficient of variation (CV)0.86008484
Kurtosis3.4215293
Mean0.65666667
Median Absolute Deviation (MAD)0.24
Skewness1.7583046
Sum3.94
Variance0.31898667
MonotonicityNot monotonic
2023-12-10T22:08:36.649630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1.73 1
 
2.0%
0.74 1
 
2.0%
0.18 1
 
2.0%
0.26 1
 
2.0%
0.44 1
 
2.0%
0.59 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
0.18 1
2.0%
0.26 1
2.0%
0.44 1
2.0%
0.59 1
2.0%
0.74 1
2.0%
1.73 1
2.0%
ValueCountFrequency (%)
1.73 1
2.0%
0.74 1
2.0%
0.59 1
2.0%
0.44 1
2.0%
0.26 1
2.0%
0.18 1
2.0%

매출금액대비금융비용부담율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean1.21
Minimum0.73
Maximum1.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:36.776347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.73
5-th percentile0.755
Q10.8725
median1.08
Q31.5875
95-th percentile1.79
Maximum1.81
Range1.08
Interquartile range (IQR)0.715

Descriptive statistics

Standard deviation0.45865019
Coefficient of variation (CV)0.37904975
Kurtosis-1.8428574
Mean1.21
Median Absolute Deviation (MAD)0.3
Skewness0.56515822
Sum7.26
Variance0.21036
MonotonicityNot monotonic
2023-12-10T22:08:36.907430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.73 1
 
2.0%
1.81 1
 
2.0%
1.73 1
 
2.0%
1.0 1
 
2.0%
1.16 1
 
2.0%
0.83 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
0.73 1
2.0%
0.83 1
2.0%
1.0 1
2.0%
1.16 1
2.0%
1.73 1
2.0%
1.81 1
2.0%
ValueCountFrequency (%)
1.81 1
2.0%
1.73 1
2.0%
1.16 1
2.0%
1.0 1
2.0%
0.83 1
2.0%
0.73 1
2.0%

배당총액증가율
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
459.91
 
1
58.9
 
1

Length

Max length6
Median length4
Mean length4.04
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
459.91 1
 
2.0%
58.9 1
 
2.0%

Length

2023-12-10T22:08:37.070716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:37.211671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
459.91 1
 
2.0%
58.9 1
 
2.0%

가산금리비율
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
48 
-361.09
 
1
9.66
 
1

Length

Max length7
Median length4
Mean length4.06
Min length4

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
96.0%
-361.09 1
 
2.0%
9.66 1
 
2.0%

Length

2023-12-10T22:08:37.354483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:37.474816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
96.0%
361.09 1
 
2.0%
9.66 1
 
2.0%

매출금액대비운전자금비율
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean0.18333333
Minimum0
Maximum0.54
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:37.583865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0225
Q10.0925
median0.13
Q30.1975
95-th percentile0.4575
Maximum0.54
Range0.54
Interquartile range (IQR)0.105

Descriptive statistics

Standard deviation0.18853824
Coefficient of variation (CV)1.0283904
Kurtosis3.4100445
Mean0.18333333
Median Absolute Deviation (MAD)0.06
Skewness1.6931502
Sum1.1
Variance0.035546667
MonotonicityNot monotonic
2023-12-10T22:08:37.727575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.16 1
 
2.0%
0.21 1
 
2.0%
0.1 1
 
2.0%
0.0 1
 
2.0%
0.09 1
 
2.0%
0.54 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
0.0 1
2.0%
0.09 1
2.0%
0.1 1
2.0%
0.16 1
2.0%
0.21 1
2.0%
0.54 1
2.0%
ValueCountFrequency (%)
0.54 1
2.0%
0.21 1
2.0%
0.16 1
2.0%
0.1 1
2.0%
0.09 1
2.0%
0.0 1
2.0%

배당성향율
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0.0
 
3
12.17
 
1
9.82
 
1
11.74
 
1

Length

Max length5
Median length4
Mean length3.98
Min length3

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row0.0
2nd row12.17
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
0.0 3
 
6.0%
12.17 1
 
2.0%
9.82 1
 
2.0%
11.74 1
 
2.0%

Length

2023-12-10T22:08:37.862561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:38.352123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0.0 3
 
6.0%
12.17 1
 
2.0%
9.82 1
 
2.0%
11.74 1
 
2.0%

순영업자본회전율
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-3340.43
Minimum-23453.22
Maximum1163.44
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)2.0%
Memory size582.0 B
2023-12-10T22:08:38.479517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-23453.22
5-th percentile-17543.895
Q1256.73
median540.94
Q3887.73
95-th percentile1117.89
Maximum1163.44
Range24616.66
Interquartile range (IQR)631

Descriptive statistics

Standard deviation9859.4829
Coefficient of variation (CV)-2.951561
Kurtosis5.973336
Mean-3340.43
Median Absolute Deviation (MAD)398.58
Skewness-2.4424854
Sum-20042.58
Variance97209403
MonotonicityNot monotonic
2023-12-10T22:08:38.592110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
607.2 1
 
2.0%
474.68 1
 
2.0%
981.24 1
 
2.0%
-23453.22 1
 
2.0%
1163.44 1
 
2.0%
184.08 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-23453.22 1
2.0%
184.08 1
2.0%
474.68 1
2.0%
607.2 1
2.0%
981.24 1
2.0%
1163.44 1
2.0%
ValueCountFrequency (%)
1163.44 1
2.0%
981.24 1
2.0%
607.2 1
2.0%
474.68 1
2.0%
184.08 1
2.0%
-23453.22 1
2.0%

3년순영업자본회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
560.45
 
1
463.95
 
1
9720.26
 
1
1029.02
 
1

Length

Max length7
Median length4
Mean length4.24
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row560.45
2nd row463.95
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
560.45 1
 
2.0%
463.95 1
 
2.0%
9720.26 1
 
2.0%
1029.02 1
 
2.0%
175.78 1
 
2.0%

Length

2023-12-10T22:08:38.737656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:38.864823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
560.45 1
 
2.0%
463.95 1
 
2.0%
9720.26 1
 
2.0%
1029.02 1
 
2.0%
175.78 1
 
2.0%

5년순영업자본회전율
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
536.78
 
1
449.45
 
1
11644.18
 
1
1062.57
 
1

Length

Max length8
Median length4
Mean length4.26
Min length4

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row536.78
2nd row449.45
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
536.78 1
 
2.0%
449.45 1
 
2.0%
11644.18 1
 
2.0%
1062.57 1
 
2.0%
180.66 1
 
2.0%

Length

2023-12-10T22:08:39.002196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:08:39.145970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
536.78 1
 
2.0%
449.45 1
 
2.0%
11644.18 1
 
2.0%
1062.57 1
 
2.0%
180.66 1
 
2.0%

순영업자본회전율기울기값
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-268.87167
Minimum-1169.9
Maximum27.77
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.0%
Memory size582.0 B
2023-12-10T22:08:39.264832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1169.9
5-th percentile-973.1075
Q1-311.505
median-54.455
Q312.635
95-th percentile25.9625
Maximum27.77
Range1197.67
Interquartile range (IQR)324.14

Descriptive statistics

Standard deviation467.3934
Coefficient of variation (CV)-1.7383513
Kurtosis3.713945
Mean-268.87167
Median Absolute Deviation (MAD)78.61
Skewness-1.9406393
Sum-1613.23
Variance218456.59
MonotonicityNot monotonic
2023-12-10T22:08:39.389178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
27.77 1
 
2.0%
20.54 1
 
2.0%
-1169.9 1
 
2.0%
-382.73 1
 
2.0%
-97.83 1
 
2.0%
-11.08 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
-1169.9 1
2.0%
-382.73 1
2.0%
-97.83 1
2.0%
-11.08 1
2.0%
20.54 1
2.0%
27.77 1
2.0%
ValueCountFrequency (%)
27.77 1
2.0%
20.54 1
2.0%
-11.08 1
2.0%
-97.83 1
2.0%
-382.73 1
2.0%
-1169.9 1
2.0%

우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing44
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean19547.667
Minimum6038
Maximum58277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T22:08:39.513498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6038
5-th percentile6267.25
Q18518
median13764.5
Q317445.75
95-th percentile48329.5
Maximum58277
Range52239
Interquartile range (IQR)8927.75

Descriptive statistics

Standard deviation19543.205
Coefficient of variation (CV)0.99977174
Kurtosis4.8381511
Mean19547.667
Median Absolute Deviation (MAD)5766
Skewness2.1394377
Sum117286
Variance3.8193685 × 108
MonotonicityNot monotonic
2023-12-10T22:08:39.623840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6038 1
 
2.0%
14322 1
 
2.0%
18487 1
 
2.0%
13207 1
 
2.0%
58277 1
 
2.0%
6955 1
 
2.0%
(Missing) 44
88.0%
ValueCountFrequency (%)
6038 1
2.0%
6955 1
2.0%
13207 1
2.0%
14322 1
2.0%
18487 1
2.0%
58277 1
2.0%
ValueCountFrequency (%)
58277 1
2.0%
18487 1
2.0%
14322 1
2.0%
13207 1
2.0%
6955 1
2.0%
6038 1
2.0%

Sample

기준년도주식종목코드주식종목명3년가중평균매출금액총이익율3년가중평균영업이익율3년가중평균당기순이익율3년가중평균매출원가율3년가중평균판관비율3년가중평균자산수익율3년가중평균자산자본이익율3년가중평균매출금액대비인건비비율3년가중평균이자보상비율3년가중평균적립금비율3년가중평균차입금의존도비율3년가중평균차입금비율3년가중평균부채비율3년가중평균유보율3년가중평균유동비율3년가중평균당좌비율3년가중평균재고자산대비매입채무비율3년가중평균매입채무대비매출채권비율3년가중평균총자본대비순운전자본비율3년가중평균매출금액증가율3년가중평균영업이익증가율3년가중평균순이익증가율3년가중평균DPS증가율3년가중평균이익잉여금증가율3년가중평균총자산회전율3년가중평균총부채회전율3년가중평균총자본회전율3년가중평균자본금회전율3년가중평균유형자산회전율3년가중평균재고자산회전율3년가중평균매입채무회전율3년가중평균매출채권회전율3년가중평균자본집약도비율3년가중평균종업원1인당인건비증가율3년가중평균종업원1인당매출금액증가율3년가중평균감가상각율3년가중평균총비용대비감가상각율3년가중평균매출금액대비금융비용부담율3년가중평균배당총액증가율3년가중평균잉여금배당액증가차이율3년가중평균매출금액대비운전자금비율3년가중평균배당성향율5년가중평균매출금액총이익율5년가중평균영업이익율5년가중평균당기순이익율5년가중평균매출원가율5년가중평균판관비율5년가중평균자산수익율5년가중평균자산자본이익율5년가중평균매출금액대비인건비비율5년가중평균이자보상비율5년가중평균적립금비율5년가중평균차입금의존도비율5년가중평균차입금비율5년가중평균부채비율5년가중평균유보율5년가중평균유동비율5년가중평균당좌비율5년가중평균재고자산대비매입채무비율5년가중평균매입채무대비매출채권비율5년가중평균총자본대비순운전자본비율5년가중평균매출금액증가율5년가중평균영업이익증가율5년가중평균순이익증가율5년가중평균DPS증가율5년가중평균이익잉여금증가율5년가중평균총자산회전율5년가중평균총부채회전율5년가중평균총자본회전율5년가중평균자본금회전율5년가중평균유형자산회전율5년가중평균재고자산회전율5년가중평균매입채무회전율5년가중평균매출채권회전율5년가중평균자본집약도비율5년가중평균종업원1인당인건비증가율5년가중평균종업원1인당매출금액증가율5년가중평균감가상각율5년가중평균총비용대비감가상각율5년가중평균매출금액대비금융비용부담율5년가중평균배당총액증가율5년가중평균잉여금배당액증가차이율5년가중평균매출금액대비운전자금비율5년가중평균배당성향율매출금액총이익율기울기값영업이익율기울기값당기순이익율기울기값매출원가율기울기값판관비율기울기값자산수익율기울기값자기자본이익율기울기값매출금액대비인건비비율기울기값이자보상비율기울기값적립금비율기울기값차입금의존도기울기값차입금비율기울기값부채비율기울기값유보율기울기값유동비율기울기값당좌비율기울기값재고자산대비매입채무비율기울기값매입채무대비매출채권비율기울기값총자본대비순운전자본비율기울기값매출금액증가율기울기값영업이익증가율기울기값순이익증가율기울기값DPS증가율기울기값이익잉여금증가율기울기값총자산회전율기울기값총부채회전율기울기값총자본회전율기울기값자본금회전율기울기값유형자산회전율기울기값재고자산회전율기울기값매입채무회전율기울기값매출채권회전율기울기값자본집약도비율기울기값종업원1인당인건비증가율기울기값종업원1인당매출금액증가율기울기값감가상각율기울기값총비용대비감가상각비율기울기값매출금액대비금융비용부담율기울기값배당총액증가율기울기값이익잉여금배당액증가율차기울기값매출금액대비운전자금비율기울기값배당율기울기값매출금액총이익율영업이익율당기순이익율매출원가율판관비율자산수익율자기자본이익율매출금액대비인건비비율이자보상비율적립금비율차입금의존도비율차입금비율부채비율유보율유동비율당좌비율재고자산대비매입채무비율매입채무대비매출채권비율총자본대비순운전자본비율매출금액증가율영업이익증가율순이익증가율DPS증가율이익잉여금증가율총자산회전율총부채회전율총자본회전율자본금회전율유형자산회전율재고자산회전율매입채무회전율매출채권회전율자본집약도비율종업원1인당인건비증가율종업원1인당매출금액증가율감가상각율총비용대비감가상각비율매출금액대비금융비용부담율배당총액증가율가산금리비율매출금액대비운전자금비율배당성향율순영업자본회전율3년순영업자본회전율5년순영업자본회전율순영업자본회전율기울기값우편번호
02018A047770코데즈컴바인47.9112.3810.8752.0935.535.848.693.932.3644.320.00.050.8280.14150.04116.1631.79358.187.0727.8577.2428.59<NA>-6.463.29269.0487.33129.341317.851034.753255.66925.19766297355.11-24.55-4.9322.751.760.38<NA><NA>0.180.037.17-7.92-1.8962.8345.09-2.83-27.826.80.7823.082.525.75116.86255.29144.5110.940.69324.41-26.786.9145.796.67<NA>14.1961.59237.73122.0135.06967.86874.72548.89818.23763837382.9946.426.625.832.221.02<NA><NA>0.190.010.6521.9815.04-10.65-11.3312.7399.51-3.412.4468.55-6.62-83.58-236.4869.0719.818.93-20.6975.51114.8825.2924.1917.99<NA>-54.32-4.5146.77-105.57-47.09394.31236.08980.8884.21118065242.77-56.5-23.44-3.58-0.49-0.69<NA><NA>-0.010.052.9616.3812.0247.0436.585.489.943.644.4844.050.00.081.58291.280.2454.0420.33351.44-7.8638.19165.2765.3<NA>-8.4261.14172.3994.74155.082368.47971.264020.91154.72723921840.2-7.994.3524.591.730.73<NA><NA>0.160.0607.2560.45536.7827.776038
12018A263690디알젬28.467.86.9671.5420.669.0917.28.028.0771.5611.2426.2102.59294.73202.35119.2366.34109.7954.6322.2724.92361.65<NA>98.92145.96274.24358.851110.44522.57518.95832.75705.4<NA><NA><NA>6.890.832.38<NA><NA>0.226.0828.147.275.9371.8620.877.8323.187.7615.4471.7316.7182.85226.81329.65172.32101.2861.26145.523.0825.1456.8329.34<NA>76.35146.59254.3420.091874.85502.1539.01964.42687.43<NA><NA><NA>6.930.972.64<NA><NA>0.224.140.291.231.6-0.29-0.952.04-2.730.07-9.21-3.16-6.25-48.26-100.03-141.4935.0321.567.2-37.3128.76-0.54-14.0688.25<NA>29.331.9422.19-38.16-931.1940.93-5.21-93.5423.09<NA><NA><NA>-0.01-0.240.06<NA><NA>-0.012.4328.597.438.2271.4121.1710.0516.238.772.9580.252.64.1961.4407.08267.94166.0470.83107.9169.5314.810.8916.55<NA>50.43140.35311.46255.461073.17517.92492.77800.71754.01140577356.76<NA><NA>6.690.741.81<NA><NA>0.2112.17474.68463.95449.4520.5414322
22018A285690FOCUS ESG리더스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32018A094800맵스리얼티1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42018A277630TIGER 코스피<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52018A265520AP시스템<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7.713.691.55-7.714.031.912.380.291.213.765.78-16.21-127.39254.912.98-30.43-161.93-110.5413.92<NA><NA><NA><NA><NA>-250.58-302.39-1421.75-15844.15-1100.3-2935.3-929.98-407.7735018071.07<NA><NA>-0.090.031.27<NA><NA>0.067.514.166.413.5385.847.765.9923.711.2412.2995.2236.47144.27295.611326.1397.7148.9874.919.29-6.28-25.7974.932.16<NA>98.82160.68206.1729.179347.82656.58735.29619.96786.08197430666.59-1.24-24.141.270.181.73459.91-361.090.19.82981.24<NA><NA>-1169.918487
62018Q510007대신 2X 니켈선물 ETN(H)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72018A291610KOSEF 코스닥150선물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82018A138540TIGER 현대차그룹+펀더멘털<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92018A226380KINDEX 한류<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
기준년도주식종목코드주식종목명3년가중평균매출금액총이익율3년가중평균영업이익율3년가중평균당기순이익율3년가중평균매출원가율3년가중평균판관비율3년가중평균자산수익율3년가중평균자산자본이익율3년가중평균매출금액대비인건비비율3년가중평균이자보상비율3년가중평균적립금비율3년가중평균차입금의존도비율3년가중평균차입금비율3년가중평균부채비율3년가중평균유보율3년가중평균유동비율3년가중평균당좌비율3년가중평균재고자산대비매입채무비율3년가중평균매입채무대비매출채권비율3년가중평균총자본대비순운전자본비율3년가중평균매출금액증가율3년가중평균영업이익증가율3년가중평균순이익증가율3년가중평균DPS증가율3년가중평균이익잉여금증가율3년가중평균총자산회전율3년가중평균총부채회전율3년가중평균총자본회전율3년가중평균자본금회전율3년가중평균유형자산회전율3년가중평균재고자산회전율3년가중평균매입채무회전율3년가중평균매출채권회전율3년가중평균자본집약도비율3년가중평균종업원1인당인건비증가율3년가중평균종업원1인당매출금액증가율3년가중평균감가상각율3년가중평균총비용대비감가상각율3년가중평균매출금액대비금융비용부담율3년가중평균배당총액증가율3년가중평균잉여금배당액증가차이율3년가중평균매출금액대비운전자금비율3년가중평균배당성향율5년가중평균매출금액총이익율5년가중평균영업이익율5년가중평균당기순이익율5년가중평균매출원가율5년가중평균판관비율5년가중평균자산수익율5년가중평균자산자본이익율5년가중평균매출금액대비인건비비율5년가중평균이자보상비율5년가중평균적립금비율5년가중평균차입금의존도비율5년가중평균차입금비율5년가중평균부채비율5년가중평균유보율5년가중평균유동비율5년가중평균당좌비율5년가중평균재고자산대비매입채무비율5년가중평균매입채무대비매출채권비율5년가중평균총자본대비순운전자본비율5년가중평균매출금액증가율5년가중평균영업이익증가율5년가중평균순이익증가율5년가중평균DPS증가율5년가중평균이익잉여금증가율5년가중평균총자산회전율5년가중평균총부채회전율5년가중평균총자본회전율5년가중평균자본금회전율5년가중평균유형자산회전율5년가중평균재고자산회전율5년가중평균매입채무회전율5년가중평균매출채권회전율5년가중평균자본집약도비율5년가중평균종업원1인당인건비증가율5년가중평균종업원1인당매출금액증가율5년가중평균감가상각율5년가중평균총비용대비감가상각율5년가중평균매출금액대비금융비용부담율5년가중평균배당총액증가율5년가중평균잉여금배당액증가차이율5년가중평균매출금액대비운전자금비율5년가중평균배당성향율매출금액총이익율기울기값영업이익율기울기값당기순이익율기울기값매출원가율기울기값판관비율기울기값자산수익율기울기값자기자본이익율기울기값매출금액대비인건비비율기울기값이자보상비율기울기값적립금비율기울기값차입금의존도기울기값차입금비율기울기값부채비율기울기값유보율기울기값유동비율기울기값당좌비율기울기값재고자산대비매입채무비율기울기값매입채무대비매출채권비율기울기값총자본대비순운전자본비율기울기값매출금액증가율기울기값영업이익증가율기울기값순이익증가율기울기값DPS증가율기울기값이익잉여금증가율기울기값총자산회전율기울기값총부채회전율기울기값총자본회전율기울기값자본금회전율기울기값유형자산회전율기울기값재고자산회전율기울기값매입채무회전율기울기값매출채권회전율기울기값자본집약도비율기울기값종업원1인당인건비증가율기울기값종업원1인당매출금액증가율기울기값감가상각율기울기값총비용대비감가상각비율기울기값매출금액대비금융비용부담율기울기값배당총액증가율기울기값이익잉여금배당액증가율차기울기값매출금액대비운전자금비율기울기값배당율기울기값매출금액총이익율영업이익율당기순이익율매출원가율판관비율자산수익율자기자본이익율매출금액대비인건비비율이자보상비율적립금비율차입금의존도비율차입금비율부채비율유보율유동비율당좌비율재고자산대비매입채무비율매입채무대비매출채권비율총자본대비순운전자본비율매출금액증가율영업이익증가율순이익증가율DPS증가율이익잉여금증가율총자산회전율총부채회전율총자본회전율자본금회전율유형자산회전율재고자산회전율매입채무회전율매출채권회전율자본집약도비율종업원1인당인건비증가율종업원1인당매출금액증가율감가상각율총비용대비감가상각비율매출금액대비금융비용부담율배당총액증가율가산금리비율매출금액대비운전자금비율배당성향율순영업자본회전율3년순영업자본회전율5년순영업자본회전율순영업자본회전율기울기값우편번호
402018Q500006신한 인버스 금 선물 ETN(H)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
412018A304760HANARO KRX300<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
422018A275280KODEX MSCI모멘텀<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432018A238670ARIRANG 스마트베타Quality채권혼합<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
442018A102970KODEX 증권<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
452018Q550002QV WISE 배당 ETN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
462018A295820ARIRANG 200동일가중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
472018A295880ARIRANG 200퀄리티<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
482018A287300KBSTAR 200건설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
492018A003000부광약품56.6111.7741.8543.3944.8417.4320.5917.610.095.310.00.015.411269.84637.92485.5711.671672.2647.8616.93164.89590.54-24.7631.9657.22484.1965.19790.28223.47449.824105.63273.95504289934.585.4115.341.850.670.4310.821.170.5760.9356.612.0933.0643.444.5114.5216.9918.010.098.250.00.014.331276.71685.76516.610.911565.250.8812.21105.27399.15-16.7122.0257.75501.4765.49805.83225.36435.744180.23293.03456219079.215.410.41.720.660.2911.2610.760.5674.22-0.1-1.5210.630.11.413.394.21-0.230.0-3.990.00.01.24-32.88-78.23-60.560.88152.08-4.774.9567.63234.86-1011.93-0.98-19.59-0.81-33.82-1.336.77-157.61-32.061856504.271.116.810.220.020.16-0.2312.160.03-11.4659.2118.0974.9940.7941.1329.5135.2316.150.087.570.00.019.391487.65579.49490.0212.681987.8244.3628.84357.621213.34068.5653.22369.662.18831.48205.77526.124305.59265.68659397897.996.2924.121.890.590.8358.99.660.5411.74184.08175.78180.66-11.086955