Overview

Dataset statistics

Number of variables98
Number of observations1000
Missing cells38825
Missing cells (%)39.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory846.8 KiB
Average record size in memory867.1 B

Variable types

Text9
Numeric70
Categorical14
DateTime1
Boolean1
Unsupported3

Dataset

Description충북 지역 기업의 기업 금융 공공데이터를 통한 기업 재무 데이터 및 CBTP의 지원 기업 정보와 인터넷 공개 정보 등을 수집/가공하여 기업 경영의 기초 데이터로 제공, 기업 재무 데이터 3종 API를 위한 기초 데이터셋으로 구성
Author재단법인충북테크노파크
URLhttps://www.data.go.kr/data/15111751/fileData.do

Alerts

이노비즈인증여부 has constant value ""Constant
기업형태 is highly imbalanced (95.8%)Imbalance
2017년영업이익 is highly imbalanced (98.0%)Imbalance
2018년영업이익 is highly imbalanced (98.6%)Imbalance
2019년영업이익 is highly imbalanced (98.9%)Imbalance
2020년영업이익 is highly imbalanced (98.9%)Imbalance
2021년영업이익 is highly imbalanced (98.3%)Imbalance
2017년법인세비용차감전순이익 is highly imbalanced (98.6%)Imbalance
2018년법인세비용차감전순이익 is highly imbalanced (98.9%)Imbalance
2019년법인세비용차감전순이익 is highly imbalanced (98.9%)Imbalance
2021년법인세비용차감전순이익 is highly imbalanced (98.9%)Imbalance
법인등록번호 has 364 (36.4%) missing valuesMissing
홈페이지 has 230 (23.0%) missing valuesMissing
사업장 우편번호 has 525 (52.5%) missing valuesMissing
사업장 주소 has 516 (51.6%) missing valuesMissing
전화번호 has 25 (2.5%) missing valuesMissing
주제품명 has 21 (2.1%) missing valuesMissing
2021년이익잉여금 has 94 (9.4%) missing valuesMissing
2017년매출액 has 19 (1.9%) missing valuesMissing
2021년매출액 has 93 (9.3%) missing valuesMissing
2021년자본총계 has 93 (9.3%) missing valuesMissing
2021년부채총계 has 93 (9.3%) missing valuesMissing
2017년매출액영업이익률 has 61 (6.1%) missing valuesMissing
2018년매출액영업이익률 has 12 (1.2%) missing valuesMissing
2021년매출액영업이익률 has 99 (9.9%) missing valuesMissing
3년 평균 매출액 증가율 has 616 (61.6%) missing valuesMissing
2017년연구개발비 has 316 (31.6%) missing valuesMissing
2018년연구개발비 has 242 (24.2%) missing valuesMissing
2019년연구개발비 has 224 (22.4%) missing valuesMissing
2020년연구개발비 has 221 (22.1%) missing valuesMissing
2021년연구개발비 has 338 (33.8%) missing valuesMissing
2017년연구개발비중 has 316 (31.6%) missing valuesMissing
2018년연구개발비중 has 242 (24.2%) missing valuesMissing
2019년연구개발비중 has 224 (22.4%) missing valuesMissing
2020년연구개발비중 has 221 (22.1%) missing valuesMissing
2021년연구개발비중 has 338 (33.8%) missing valuesMissing
이노비즈인증여부 has 633 (63.3%) missing valuesMissing
2017년당기순이익 has 990 (99.0%) missing valuesMissing
2018년당기순이익 has 988 (98.8%) missing valuesMissing
2019년당기순이익 has 989 (98.9%) missing valuesMissing
2020년당기순이익 has 987 (98.7%) missing valuesMissing
2021년당기순이익 has 987 (98.7%) missing valuesMissing
2017년유동자산 has 988 (98.8%) missing valuesMissing
2018년유동자산 has 987 (98.7%) missing valuesMissing
2019년유동자산 has 987 (98.7%) missing valuesMissing
2020년유동자산 has 987 (98.7%) missing valuesMissing
2021년유동자산 has 985 (98.5%) missing valuesMissing
2017년비유동자산 has 988 (98.8%) missing valuesMissing
2018년비유동자산 has 987 (98.7%) missing valuesMissing
2019년비유동자산 has 987 (98.7%) missing valuesMissing
2020년비유동자산 has 987 (98.7%) missing valuesMissing
2021년비유동자산 has 985 (98.5%) missing valuesMissing
2017년자산총계 has 988 (98.8%) missing valuesMissing
2018년자산총계 has 987 (98.7%) missing valuesMissing
2019년자산총계 has 987 (98.7%) missing valuesMissing
2020년자산총계 has 987 (98.7%) missing valuesMissing
2021년자산총계 has 985 (98.5%) missing valuesMissing
2017년유동부채 has 988 (98.8%) missing valuesMissing
2018년유동부채 has 987 (98.7%) missing valuesMissing
2019년유동부채 has 987 (98.7%) missing valuesMissing
2020년유동부채 has 987 (98.7%) missing valuesMissing
2021년유동부채 has 985 (98.5%) missing valuesMissing
2017년자본금 has 988 (98.8%) missing valuesMissing
2018년자본금 has 987 (98.7%) missing valuesMissing
2019년자본금 has 987 (98.7%) missing valuesMissing
2020년자본금 has 987 (98.7%) missing valuesMissing
2021년자본금 has 985 (98.5%) missing valuesMissing
2020년법인세비용차감전순이익 has 1000 (100.0%) missing valuesMissing
Unnamed: 96 has 1000 (100.0%) missing valuesMissing
Unnamed: 97 has 1000 (100.0%) missing valuesMissing
2018년이익잉여금 is highly skewed (γ1 = 21.89988247)Skewed
2019년이익잉여금 is highly skewed (γ1 = 21.87656103)Skewed
2020년이익잉여금 is highly skewed (γ1 = 22.28617713)Skewed
2021년이익잉여금 is highly skewed (γ1 = 22.33339369)Skewed
2018년자본총계 is highly skewed (γ1 = 21.45671541)Skewed
2019년자본총계 is highly skewed (γ1 = 21.44001183)Skewed
2020년자본총계 is highly skewed (γ1 = 21.67362989)Skewed
2021년자본총계 is highly skewed (γ1 = 21.80087712)Skewed
2017년매출액영업이익률 is highly skewed (γ1 = -23.20342721)Skewed
2018년매출액영업이익률 is highly skewed (γ1 = -20.98479694)Skewed
2019년매출액영업이익률 is highly skewed (γ1 = -22.12933147)Skewed
2017년연구개발비 is highly skewed (γ1 = 22.37058704)Skewed
2019년연구개발비 is highly skewed (γ1 = 23.05958581)Skewed
2020년연구개발비 is highly skewed (γ1 = 23.23504167)Skewed
2021년연구개발비 is highly skewed (γ1 = 22.4956867)Skewed
2017년연구개발비중 is highly skewed (γ1 = 22.52912692)Skewed
2020년연구개발비중 is highly skewed (γ1 = 20.47533088)Skewed
2021년연구개발비중 is highly skewed (γ1 = 21.79812616)Skewed
사업자등록번호 has unique valuesUnique
2019년이익잉여금 has unique valuesUnique
2019년매출액 has unique valuesUnique
2020년매출액 has unique valuesUnique
2019년자본총계 has unique valuesUnique
2020년자본총계 has unique valuesUnique
2019년부채총계 has unique valuesUnique
2020년부채총계 has unique valuesUnique
2020년법인세비용차감전순이익 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 96 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 97 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 11:25:48.978135
Analysis finished2023-12-12 11:25:53.040710
Duration4.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T20:25:53.414976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.818
Min length2

Characters and Unicode

Total characters4818
Distinct characters415
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row현대모비스
2nd row엘지화학
3rd row에스케이하이닉스
4th row휴온스
5th row현대에너지솔루션
ValueCountFrequency (%)
농업회사법인 9
 
0.9%
3
 
0.3%
우진 2
 
0.2%
주식회사 2
 
0.2%
테크놀로지 2
 
0.2%
엘시시 2
 
0.2%
서흥 2
 
0.2%
승진 2
 
0.2%
네오텍 2
 
0.2%
알티에스에너지 1
 
0.1%
Other values (1009) 1009
97.4%
2023-12-12T20:25:54.130652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
6.8%
258
 
5.4%
171
 
3.5%
85
 
1.8%
83
 
1.7%
81
 
1.7%
80
 
1.7%
79
 
1.6%
72
 
1.5%
71
 
1.5%
Other values (405) 3508
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4770
99.0%
Space Separator 36
 
0.7%
Other Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
330
 
6.9%
258
 
5.4%
171
 
3.6%
85
 
1.8%
83
 
1.7%
81
 
1.7%
80
 
1.7%
79
 
1.7%
72
 
1.5%
71
 
1.5%
Other values (402) 3460
72.5%
Other Punctuation
ValueCountFrequency (%)
. 10
83.3%
, 2
 
16.7%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4770
99.0%
Common 48
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
330
 
6.9%
258
 
5.4%
171
 
3.6%
85
 
1.8%
83
 
1.7%
81
 
1.7%
80
 
1.7%
79
 
1.7%
72
 
1.5%
71
 
1.5%
Other values (402) 3460
72.5%
Common
ValueCountFrequency (%)
36
75.0%
. 10
 
20.8%
, 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4770
99.0%
ASCII 48
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
330
 
6.9%
258
 
5.4%
171
 
3.6%
85
 
1.8%
83
 
1.7%
81
 
1.7%
80
 
1.7%
79
 
1.7%
72
 
1.5%
71
 
1.5%
Other values (402) 3460
72.5%
ASCII
ValueCountFrequency (%)
36
75.0%
. 10
 
20.8%
, 2
 
4.2%

사업자등록번호
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7828892 × 109
Minimum1.0181104 × 109
Maximum8.9781 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:25:54.393132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0181104 × 109
5-th percentile1.1381069 × 109
Q11.3481558 × 109
median3.0181675 × 109
Q33.1281153 × 109
95-th percentile6.2791001 × 109
Maximum8.9781 × 109
Range7.9599896 × 109
Interquartile range (IQR)1.7799595 × 109

Descriptive statistics

Standard deviation1.5691859 × 109
Coefficient of variation (CV)0.56386936
Kurtosis3.1261079
Mean2.7828892 × 109
Median Absolute Deviation (MAD)8.594265 × 108
Skewness1.6031373
Sum2.7828892 × 1012
Variance2.4623445 × 1018
MonotonicityNot monotonic
2023-12-12T20:25:54.686471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1018116406 1
 
0.1%
5158132376 1
 
0.1%
1308166199 1
 
0.1%
1208765119 1
 
0.1%
6338600560 1
 
0.1%
1238617749 1
 
0.1%
2998700144 1
 
0.1%
3158101711 1
 
0.1%
3018628792 1
 
0.1%
1258101326 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1018110436 1
0.1%
1018116406 1
0.1%
1018118476 1
0.1%
1018602611 1
0.1%
1018668364 1
0.1%
1018693655 1
0.1%
1028120368 1
0.1%
1048152769 1
0.1%
1048609535 1
0.1%
1048800289 1
0.1%
ValueCountFrequency (%)
8978100010 1
0.1%
8948601053 1
0.1%
8818800727 1
0.1%
8718700965 1
0.1%
8698700472 1
0.1%
8638700270 1
0.1%
8638100318 1
0.1%
8608100226 1
0.1%
8598700096 1
0.1%
8558600699 1
0.1%

법인등록번호
Real number (ℝ)

MISSING 

Distinct627
Distinct (%)98.6%
Missing364
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean1.3957507 × 1012
Minimum1.1 × 1012
Maximum2.8501102 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:25:54.961628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1 × 1012
5-th percentile1.1011104 × 1012
Q11.1011159 × 1012
median1.41211 × 1012
Q31.54311 × 1012
95-th percentile1.7011101 × 1012
Maximum2.8501102 × 1012
Range1.7501102 × 1012
Interquartile range (IQR)4.4199411 × 1011

Descriptive statistics

Standard deviation2.590955 × 1011
Coefficient of variation (CV)0.18563164
Kurtosis7.8838874
Mean1.3957507 × 1012
Median Absolute Deviation (MAD)1.3299997 × 1011
Skewness1.7800138
Sum8.8769745 × 1014
Variance6.7130476 × 1022
MonotonicityNot monotonic
2023-12-12T20:25:55.240839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1100000000000 7
 
0.7%
1500000000000 2
 
0.2%
1620000000000 2
 
0.2%
1240000000000 2
 
0.2%
1501110044862 1
 
0.1%
1501110133540 1
 
0.1%
1501110197570 1
 
0.1%
1101110146286 1
 
0.1%
1211110049289 1
 
0.1%
1201110863888 1
 
0.1%
Other values (617) 617
61.7%
(Missing) 364
36.4%
ValueCountFrequency (%)
1100000000000 7
0.7%
1101110003121 1
 
0.1%
1101110004682 1
 
0.1%
1101110019334 1
 
0.1%
1101110026206 1
 
0.1%
1101110037427 1
 
0.1%
1101110043870 1
 
0.1%
1101110048143 1
 
0.1%
1101110070881 1
 
0.1%
1101110085541 1
 
0.1%
ValueCountFrequency (%)
2850110208088 1
0.1%
2850110129002 1
0.1%
2841110076749 1
0.1%
2841110072408 1
0.1%
2802110102405 1
0.1%
2801110086726 1
0.1%
2301110286178 1
0.1%
2301110155274 1
0.1%
2301110134111 1
0.1%
2301110095678 1
0.1%
Distinct970
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T20:25:55.862071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.597
Min length2

Characters and Unicode

Total characters3597
Distinct characters241
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique941 ?
Unique (%)94.1%

Sample

1st row정의선
2nd row신학철
3rd row박정호, 이석희
4th row엄기안, 송수영
5th row박종환, 강철호
ValueCountFrequency (%)
이병구 3
 
0.3%
정영민 2
 
0.2%
김영환 2
 
0.2%
이대희 2
 
0.2%
오천근 2
 
0.2%
김태억 2
 
0.2%
이승희 2
 
0.2%
박광호 2
 
0.2%
이준식 2
 
0.2%
이승호 2
 
0.2%
Other values (1058) 1091
98.1%
2023-12-12T20:25:56.654770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
5.9%
191
 
5.3%
112
 
3.1%
, 111
 
3.1%
102
 
2.8%
87
 
2.4%
72
 
2.0%
68
 
1.9%
63
 
1.8%
58
 
1.6%
Other values (231) 2519
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3360
93.4%
Space Separator 112
 
3.1%
Other Punctuation 111
 
3.1%
Uppercase Letter 14
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
214
 
6.4%
191
 
5.7%
102
 
3.0%
87
 
2.6%
72
 
2.1%
68
 
2.0%
63
 
1.9%
58
 
1.7%
58
 
1.7%
55
 
1.6%
Other values (219) 2392
71.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
N 2
14.3%
O 2
14.3%
R 1
 
7.1%
I 1
 
7.1%
H 1
 
7.1%
U 1
 
7.1%
S 1
 
7.1%
Y 1
 
7.1%
K 1
 
7.1%
Space Separator
ValueCountFrequency (%)
112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3360
93.4%
Common 223
 
6.2%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
214
 
6.4%
191
 
5.7%
102
 
3.0%
87
 
2.6%
72
 
2.1%
68
 
2.0%
63
 
1.9%
58
 
1.7%
58
 
1.7%
55
 
1.6%
Other values (219) 2392
71.2%
Latin
ValueCountFrequency (%)
A 3
21.4%
N 2
14.3%
O 2
14.3%
R 1
 
7.1%
I 1
 
7.1%
H 1
 
7.1%
U 1
 
7.1%
S 1
 
7.1%
Y 1
 
7.1%
K 1
 
7.1%
Common
ValueCountFrequency (%)
112
50.2%
, 111
49.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3360
93.4%
ASCII 237
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
214
 
6.4%
191
 
5.7%
102
 
3.0%
87
 
2.6%
72
 
2.1%
68
 
2.0%
63
 
1.9%
58
 
1.7%
58
 
1.7%
55
 
1.6%
Other values (219) 2392
71.2%
ASCII
ValueCountFrequency (%)
112
47.3%
, 111
46.8%
A 3
 
1.3%
N 2
 
0.8%
O 2
 
0.8%
R 1
 
0.4%
I 1
 
0.4%
H 1
 
0.4%
U 1
 
0.4%
S 1
 
0.4%
Other values (2) 2
 
0.8%
Distinct76
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T20:25:57.056012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6000
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

Unique3 ?
Unique (%)0.3%

Sample

1st rowC30399
2nd rowC20111
3rd rowC26129
4th rowC21210
5th rowC28909
ValueCountFrequency (%)
c20499 71
 
7.1%
c20423 58
 
5.8%
c30399 48
 
4.8%
c29271 48
 
4.8%
c21210 38
 
3.8%
c29299 32
 
3.2%
c22232 30
 
3.0%
j58222 29
 
2.9%
c27199 28
 
2.8%
c29175 27
 
2.7%
Other values (66) 591
59.1%
2023-12-12T20:25:57.638958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1572
26.2%
C 945
15.8%
9 853
14.2%
1 704
11.7%
0 588
 
9.8%
3 385
 
6.4%
7 272
 
4.5%
4 237
 
4.0%
5 166
 
2.8%
6 117
 
1.9%
Other values (2) 161
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5000
83.3%
Uppercase Letter 1000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1572
31.4%
9 853
17.1%
1 704
14.1%
0 588
 
11.8%
3 385
 
7.7%
7 272
 
5.4%
4 237
 
4.7%
5 166
 
3.3%
6 117
 
2.3%
8 106
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
C 945
94.5%
J 55
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
Common 5000
83.3%
Latin 1000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1572
31.4%
9 853
17.1%
1 704
14.1%
0 588
 
11.8%
3 385
 
7.7%
7 272
 
5.4%
4 237
 
4.7%
5 166
 
3.3%
6 117
 
2.3%
8 106
 
2.1%
Latin
ValueCountFrequency (%)
C 945
94.5%
J 55
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1572
26.2%
C 945
15.8%
9 853
14.2%
1 704
11.7%
0 588
 
9.8%
3 385
 
6.4%
7 272
 
4.5%
4 237
 
4.0%
5 166
 
2.8%
6 117
 
1.9%
Other values (2) 161
 
2.7%

기업규모
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
소기업
341 
중기업
307 
소상공인
219 
중견기업
84 
대기업
 
24
Other values (2)
 
25

Length

Max length9
Median length3
Mean length3.427
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대기업
2nd row대기업
3rd row대기업
4th row중견기업
5th row대기업

Common Values

ValueCountFrequency (%)
소기업 341
34.1%
중기업 307
30.7%
소상공인 219
21.9%
중견기업 84
 
8.4%
대기업 24
 
2.4%
한시성중소기업 13
 
1.3%
보호대상 중견기업 12
 
1.2%

Length

2023-12-12T20:25:57.879790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:25:58.051804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 341
33.7%
중기업 307
30.3%
소상공인 219
21.6%
중견기업 96
 
9.5%
대기업 24
 
2.4%
한시성중소기업 13
 
1.3%
보호대상 12
 
1.2%

기업형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
주식회사
993 
유한회사
 
4
기타법인
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주식회사 993
99.3%
유한회사 4
 
0.4%
기타법인 3
 
0.3%

Length

2023-12-12T20:25:58.236351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:25:58.400964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주식회사 993
99.3%
유한회사 4
 
0.4%
기타법인 3
 
0.3%
Distinct941
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum1931-01-22 00:00:00
Maximum2019-06-26 00:00:00
2023-12-12T20:25:58.541461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:25:58.744125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
일반법인
568 
외감
317 
코스닥시장
77 
유가증권시장
 
33
코넥스시장
 
5

Length

Max length6
Median length4
Mean length3.514
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유가증권시장
2nd row유가증권시장
3rd row유가증권시장
4th row코스닥시장
5th row유가증권시장

Common Values

ValueCountFrequency (%)
일반법인 568
56.8%
외감 317
31.7%
코스닥시장 77
 
7.7%
유가증권시장 33
 
3.3%
코넥스시장 5
 
0.5%

Length

2023-12-12T20:25:58.956680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:25:59.129202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반법인 568
56.8%
외감 317
31.7%
코스닥시장 77
 
7.7%
유가증권시장 33
 
3.3%
코넥스시장 5
 
0.5%

홈페이지
Text

MISSING 

Distinct767
Distinct (%)99.6%
Missing230
Missing (%)23.0%
Memory size7.9 KiB
2023-12-12T20:25:59.462055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length16.441558
Min length9

Characters and Unicode

Total characters12660
Distinct characters67
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique764 ?
Unique (%)99.2%

Sample

1st rowwww.mobis.co.kr
2nd rowwww.lgchem.com
3rd rowwww.skhynix.com
4th rowwww.huons.com
5th rowwww.hyundai-es.co.kr
ValueCountFrequency (%)
www.danil.co.kr 2
 
0.3%
www.onegene.com 2
 
0.3%
www.shinwoohitech.com 2
 
0.3%
www.cleaninglab.co.kr 1
 
0.1%
www.secglobal.co.kr 1
 
0.1%
www.pjcorp.co.kr 1
 
0.1%
www.duzonechemical.co.kr 1
 
0.1%
www.mobis.co.kr 1
 
0.1%
www.tanhay.com 1
 
0.1%
www.skchem.net 1
 
0.1%
Other values (757) 757
98.3%
2023-12-12T20:26:00.038954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 2224
17.6%
. 1878
14.8%
o 1218
9.6%
c 1083
 
8.6%
r 655
 
5.2%
m 623
 
4.9%
e 598
 
4.7%
k 557
 
4.4%
n 470
 
3.7%
a 438
 
3.5%
Other values (57) 2916
23.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10579
83.6%
Other Punctuation 1898
 
15.0%
Decimal Number 78
 
0.6%
Dash Punctuation 72
 
0.6%
Other Letter 31
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 2224
21.0%
o 1218
11.5%
c 1083
10.2%
r 655
 
6.2%
m 623
 
5.9%
e 598
 
5.7%
k 557
 
5.3%
n 470
 
4.4%
a 438
 
4.1%
s 380
 
3.6%
Other values (16) 2333
22.1%
Other Letter
ValueCountFrequency (%)
3
 
9.7%
2
 
6.5%
2
 
6.5%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (16) 16
51.6%
Decimal Number
ValueCountFrequency (%)
1 24
30.8%
2 23
29.5%
0 13
16.7%
4 5
 
6.4%
3 4
 
5.1%
9 4
 
5.1%
7 2
 
2.6%
8 2
 
2.6%
5 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 1878
98.9%
/ 19
 
1.0%
: 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
O 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10581
83.6%
Common 2048
 
16.2%
Hangul 31
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 2224
21.0%
o 1218
11.5%
c 1083
10.2%
r 655
 
6.2%
m 623
 
5.9%
e 598
 
5.7%
k 557
 
5.3%
n 470
 
4.4%
a 438
 
4.1%
s 380
 
3.6%
Other values (18) 2335
22.1%
Hangul
ValueCountFrequency (%)
3
 
9.7%
2
 
6.5%
2
 
6.5%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (16) 16
51.6%
Common
ValueCountFrequency (%)
. 1878
91.7%
- 72
 
3.5%
1 24
 
1.2%
2 23
 
1.1%
/ 19
 
0.9%
0 13
 
0.6%
4 5
 
0.2%
3 4
 
0.2%
9 4
 
0.2%
7 2
 
0.1%
Other values (3) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12629
99.8%
Hangul 31
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 2224
17.6%
. 1878
14.9%
o 1218
9.6%
c 1083
 
8.6%
r 655
 
5.2%
m 623
 
4.9%
e 598
 
4.7%
k 557
 
4.4%
n 470
 
3.7%
a 438
 
3.5%
Other values (31) 2885
22.8%
Hangul
ValueCountFrequency (%)
3
 
9.7%
2
 
6.5%
2
 
6.5%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (16) 16
51.6%

본사 우편번호
Real number (ℝ)

Distinct565
Distinct (%)56.7%
Missing3
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean25357.563
Minimum1464
Maximum63309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:00.251450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1464
5-th percentile6640
Q126493
median27856
Q328353
95-th percentile34117.8
Maximum63309
Range61845
Interquartile range (IQR)1860

Descriptive statistics

Standard deviation8968.5826
Coefficient of variation (CV)0.35368472
Kurtosis2.7909545
Mean25357.563
Median Absolute Deviation (MAD)531
Skewness-0.0048780794
Sum25281490
Variance80435473
MonotonicityNot monotonic
2023-12-12T20:26:00.463201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27816 15
 
1.5%
27856 14
 
1.4%
27850 14
 
1.4%
28118 14
 
1.4%
28116 14
 
1.4%
28576 13
 
1.3%
27159 11
 
1.1%
28161 11
 
1.1%
28101 9
 
0.9%
27721 9
 
0.9%
Other values (555) 873
87.3%
ValueCountFrequency (%)
1464 1
0.1%
2461 1
0.1%
2478 1
0.1%
3129 1
0.1%
3150 1
0.1%
3188 1
0.1%
4173 1
0.1%
4522 1
0.1%
4541 1
0.1%
4551 2
0.2%
ValueCountFrequency (%)
63309 1
0.1%
62453 1
0.1%
62384 1
0.1%
62215 1
0.1%
61111 1
0.1%
61003 2
0.2%
59337 1
0.1%
58153 1
0.1%
57817 1
0.1%
55323 1
0.1%
Distinct990
Distinct (%)99.4%
Missing4
Missing (%)0.4%
Memory size7.9 KiB
2023-12-12T20:26:01.120031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length56
Mean length30.252008
Min length13

Characters and Unicode

Total characters30131
Distinct characters412
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique984 ?
Unique (%)98.8%

Sample

1st row서울 강남구 테헤란로 203 (역삼동)
2nd row서울 영등포구 여의대로 128 (여의도동)
3rd row경기 이천시 부발읍 경충대로 2091 (아미리)
4th row경기 성남시 수정구 창업로 17, A동 8층 (시흥동,판교 아이스퀘어)
5th row경기 성남시 분당구 분당로 55, 4층 (서현동,분당퍼스트타워)
ValueCountFrequency (%)
충북 645
 
10.1%
청주시 317
 
4.9%
흥덕구 175
 
2.7%
경기 140
 
2.2%
음성군 121
 
1.9%
청원구 108
 
1.7%
진천군 96
 
1.5%
서울 89
 
1.4%
오창읍 70
 
1.1%
오송읍 48
 
0.7%
Other values (2264) 4601
71.8%
2023-12-12T20:26:02.622138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5437
 
18.0%
1 1005
 
3.3%
( 990
 
3.3%
) 990
 
3.3%
792
 
2.6%
754
 
2.5%
717
 
2.4%
678
 
2.3%
2 649
 
2.2%
613
 
2.0%
Other values (402) 17506
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17256
57.3%
Space Separator 5437
 
18.0%
Decimal Number 4633
 
15.4%
Open Punctuation 991
 
3.3%
Close Punctuation 991
 
3.3%
Other Punctuation 504
 
1.7%
Dash Punctuation 288
 
1.0%
Uppercase Letter 27
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
792
 
4.6%
754
 
4.4%
717
 
4.2%
678
 
3.9%
613
 
3.6%
586
 
3.4%
569
 
3.3%
512
 
3.0%
433
 
2.5%
408
 
2.4%
Other values (374) 11194
64.9%
Decimal Number
ValueCountFrequency (%)
1 1005
21.7%
2 649
14.0%
3 504
10.9%
0 447
9.6%
4 429
9.3%
5 407
8.8%
6 366
 
7.9%
7 310
 
6.7%
8 273
 
5.9%
9 243
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
33.3%
A 6
22.2%
C 5
18.5%
S 4
14.8%
K 2
 
7.4%
G 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 500
99.2%
: 2
 
0.4%
. 1
 
0.2%
& 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 990
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 990
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17256
57.3%
Common 12847
42.6%
Latin 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
792
 
4.6%
754
 
4.4%
717
 
4.2%
678
 
3.9%
613
 
3.6%
586
 
3.4%
569
 
3.3%
512
 
3.0%
433
 
2.5%
408
 
2.4%
Other values (374) 11194
64.9%
Common
ValueCountFrequency (%)
5437
42.3%
1 1005
 
7.8%
( 990
 
7.7%
) 990
 
7.7%
2 649
 
5.1%
3 504
 
3.9%
, 500
 
3.9%
0 447
 
3.5%
4 429
 
3.3%
5 407
 
3.2%
Other values (11) 1489
 
11.6%
Latin
ValueCountFrequency (%)
B 9
32.1%
A 6
21.4%
C 5
17.9%
S 4
14.3%
K 2
 
7.1%
G 1
 
3.6%
n 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17256
57.3%
ASCII 12875
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5437
42.2%
1 1005
 
7.8%
( 990
 
7.7%
) 990
 
7.7%
2 649
 
5.0%
3 504
 
3.9%
, 500
 
3.9%
0 447
 
3.5%
4 429
 
3.3%
5 407
 
3.2%
Other values (18) 1517
 
11.8%
Hangul
ValueCountFrequency (%)
792
 
4.6%
754
 
4.4%
717
 
4.2%
678
 
3.9%
613
 
3.6%
586
 
3.4%
569
 
3.3%
512
 
3.0%
433
 
2.5%
408
 
2.4%
Other values (374) 11194
64.9%

사업장 우편번호
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)48.6%
Missing525
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean27982.232
Minimum27109
Maximum29156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:02.871714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27109
5-th percentile27322.5
Q127670
median27872
Q328161
95-th percentile28936
Maximum29156
Range2047
Interquartile range (IQR)491

Descriptive statistics

Standard deviation444.80088
Coefficient of variation (CV)0.015895833
Kurtosis0.36087413
Mean27982.232
Median Absolute Deviation (MAD)250
Skewness0.56253586
Sum13291560
Variance197847.82
MonotonicityNot monotonic
2023-12-12T20:26:03.111803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28116 15
 
1.5%
27850 13
 
1.3%
27816 12
 
1.2%
27856 9
 
0.9%
27116 8
 
0.8%
28118 8
 
0.8%
27327 8
 
0.8%
28160 8
 
0.8%
27721 7
 
0.7%
27466 7
 
0.7%
Other values (221) 380
38.0%
(Missing) 525
52.5%
ValueCountFrequency (%)
27109 1
 
0.1%
27116 8
0.8%
27139 3
 
0.3%
27159 5
0.5%
27171 1
 
0.1%
27172 1
 
0.1%
27199 1
 
0.1%
27209 1
 
0.1%
27214 1
 
0.1%
27313 1
 
0.1%
ValueCountFrequency (%)
29156 1
 
0.1%
29131 2
0.2%
29118 1
 
0.1%
29117 1
 
0.1%
29110 1
 
0.1%
29108 1
 
0.1%
29107 1
 
0.1%
29061 2
0.2%
29058 1
 
0.1%
29055 4
0.4%

사업장 주소
Text

MISSING 

Distinct474
Distinct (%)97.9%
Missing516
Missing (%)51.6%
Memory size7.9 KiB
2023-12-12T20:26:03.572666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length55
Mean length29.609504
Min length2

Characters and Unicode

Total characters14331
Distinct characters294
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique465 ?
Unique (%)96.1%

Sample

1st row충북 진천군 문백면 사양2길 95 (문덕리)
2nd row충북 청주시 흥덕구 백봉로 39 (송정동)
3rd row충북 청주시 흥덕구 대신로 215 (향정동)
4th row충북 제천시 바이오밸리로 100 (왕암동)
5th row충북 음성군 소이면 소이로 313 (대장리)
ValueCountFrequency (%)
충북 483
 
15.3%
청주시 191
 
6.1%
음성군 99
 
3.1%
흥덕구 98
 
3.1%
진천군 82
 
2.6%
청원구 74
 
2.3%
오창읍 57
 
1.8%
충주시 38
 
1.2%
오송읍 36
 
1.1%
금왕읍 23
 
0.7%
Other values (1039) 1972
62.5%
2023-12-12T20:26:04.393402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2685
 
18.7%
546
 
3.8%
510
 
3.6%
) 475
 
3.3%
( 475
 
3.3%
1 448
 
3.1%
417
 
2.9%
367
 
2.6%
326
 
2.3%
2 304
 
2.1%
Other values (284) 7778
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8305
58.0%
Space Separator 2685
 
18.7%
Decimal Number 2049
 
14.3%
Close Punctuation 476
 
3.3%
Open Punctuation 475
 
3.3%
Other Punctuation 174
 
1.2%
Dash Punctuation 157
 
1.1%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
546
 
6.6%
510
 
6.1%
417
 
5.0%
367
 
4.4%
326
 
3.9%
257
 
3.1%
256
 
3.1%
233
 
2.8%
225
 
2.7%
224
 
2.7%
Other values (263) 4944
59.5%
Decimal Number
ValueCountFrequency (%)
1 448
21.9%
2 304
14.8%
3 236
11.5%
4 207
10.1%
5 169
 
8.2%
7 159
 
7.8%
6 157
 
7.7%
0 151
 
7.4%
9 124
 
6.1%
8 94
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
S 3
30.0%
A 2
20.0%
W 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 475
99.8%
] 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 173
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2685
100.0%
Open Punctuation
ValueCountFrequency (%)
( 475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8305
58.0%
Common 6016
42.0%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
546
 
6.6%
510
 
6.1%
417
 
5.0%
367
 
4.4%
326
 
3.9%
257
 
3.1%
256
 
3.1%
233
 
2.8%
225
 
2.7%
224
 
2.7%
Other values (263) 4944
59.5%
Common
ValueCountFrequency (%)
2685
44.6%
) 475
 
7.9%
( 475
 
7.9%
1 448
 
7.4%
2 304
 
5.1%
3 236
 
3.9%
4 207
 
3.4%
, 173
 
2.9%
5 169
 
2.8%
7 159
 
2.6%
Other values (7) 685
 
11.4%
Latin
ValueCountFrequency (%)
B 4
40.0%
S 3
30.0%
A 2
20.0%
W 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8305
58.0%
ASCII 6026
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2685
44.6%
) 475
 
7.9%
( 475
 
7.9%
1 448
 
7.4%
2 304
 
5.0%
3 236
 
3.9%
4 207
 
3.4%
, 173
 
2.9%
5 169
 
2.8%
7 159
 
2.6%
Other values (11) 695
 
11.5%
Hangul
ValueCountFrequency (%)
546
 
6.6%
510
 
6.1%
417
 
5.0%
367
 
4.4%
326
 
3.9%
257
 
3.1%
256
 
3.1%
233
 
2.8%
225
 
2.7%
224
 
2.7%
Other values (263) 4944
59.5%

전화번호
Text

MISSING 

Distinct973
Distinct (%)99.8%
Missing25
Missing (%)2.5%
Memory size7.9 KiB
2023-12-12T20:26:04.819224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.997949
Min length11

Characters and Unicode

Total characters11698
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique971 ?
Unique (%)99.6%

Sample

1st row02-2018-5114
2nd row02-3773-1114
3rd row031-5185-4114
4th row02-854-4700
5th row01-522-5001
ValueCountFrequency (%)
043-544-0800 2
 
0.2%
043-240-7700 2
 
0.2%
043-715-6910 1
 
0.1%
043-820-4333 1
 
0.1%
070-8288-6266 1
 
0.1%
043-881-1999 1
 
0.1%
043-277-5754 1
 
0.1%
043-853-0323 1
 
0.1%
02-2018-5114 1
 
0.1%
043-733-2686 1
 
0.1%
Other values (963) 963
98.8%
2023-12-12T20:26:05.622907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1950
16.7%
0 1891
16.2%
3 1488
12.7%
4 1167
10.0%
2 1038
8.9%
1 937
8.0%
8 777
 
6.6%
7 751
 
6.4%
5 687
 
5.9%
6 607
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9748
83.3%
Dash Punctuation 1950
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1891
19.4%
3 1488
15.3%
4 1167
12.0%
2 1038
10.6%
1 937
9.6%
8 777
8.0%
7 751
 
7.7%
5 687
 
7.0%
6 607
 
6.2%
9 405
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1950
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11698
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1950
16.7%
0 1891
16.2%
3 1488
12.7%
4 1167
10.0%
2 1038
8.9%
1 937
8.0%
8 777
 
6.6%
7 751
 
6.4%
5 687
 
5.9%
6 607
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11698
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1950
16.7%
0 1891
16.2%
3 1488
12.7%
4 1167
10.0%
2 1038
8.9%
1 937
8.0%
8 777
 
6.6%
7 751
 
6.4%
5 687
 
5.9%
6 607
 
5.2%
Distinct76
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T20:26:06.140836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length14.919
Min length6

Characters and Unicode

Total characters14919
Distinct characters162
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row그 외 자동차용 신품 부품 제조업
2nd row석유화학계 기초 화학물질 제조업
3rd row기타 반도체소자 제조업
4th row완제 의약품 제조업
5th row그 외 기타 전기장비 제조업
ValueCountFrequency (%)
제조업 930
21.1%
기타 370
 
8.4%
264
 
6.0%
264
 
6.0%
249
 
5.6%
분류 82
 
1.9%
안된 82
 
1.9%
기계 80
 
1.8%
신품 75
 
1.7%
화학제품 71
 
1.6%
Other values (143) 1944
44.1%
2023-12-12T20:26:06.845549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3411
22.9%
1254
 
8.4%
1035
 
6.9%
1026
 
6.9%
742
 
5.0%
524
 
3.5%
403
 
2.7%
370
 
2.5%
269
 
1.8%
264
 
1.8%
Other values (152) 5621
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11434
76.6%
Space Separator 3411
 
22.9%
Other Punctuation 74
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1254
 
11.0%
1035
 
9.1%
1026
 
9.0%
742
 
6.5%
524
 
4.6%
403
 
3.5%
370
 
3.2%
269
 
2.4%
264
 
2.3%
249
 
2.2%
Other values (150) 5298
46.3%
Space Separator
ValueCountFrequency (%)
3411
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11434
76.6%
Common 3485
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1254
 
11.0%
1035
 
9.1%
1026
 
9.0%
742
 
6.5%
524
 
4.6%
403
 
3.5%
370
 
3.2%
269
 
2.4%
264
 
2.3%
249
 
2.2%
Other values (150) 5298
46.3%
Common
ValueCountFrequency (%)
3411
97.9%
, 74
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11434
76.6%
ASCII 3485
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3411
97.9%
, 74
 
2.1%
Hangul
ValueCountFrequency (%)
1254
 
11.0%
1035
 
9.1%
1026
 
9.0%
742
 
6.5%
524
 
4.6%
403
 
3.5%
370
 
3.2%
269
 
2.4%
264
 
2.3%
249
 
2.2%
Other values (150) 5298
46.3%

주제품명
Text

MISSING 

Distinct908
Distinct (%)92.7%
Missing21
Missing (%)2.1%
Memory size7.9 KiB
2023-12-12T20:26:07.292554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length44
Mean length14.113381
Min length2

Characters and Unicode

Total characters13817
Distinct characters589
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique877 ?
Unique (%)89.6%

Sample

1st row자동차 3대 핵심모듈인 샤시모듈, 칵핏모듈, 프론트엔드모듈
2nd rowABS, PC, EP, PE, PP, 합성고무, 아크릴, 가소제, SAP, PVC, BPA, 특수수지
3rd rowDRAM, NAND Flash, MCP 등
4th row뷰티·웰빙·기타
5th row태양광모듈 외
ValueCountFrequency (%)
288
 
9.9%
209
 
7.2%
70
 
2.4%
화장품 39
 
1.3%
부품 30
 
1.0%
반도체 26
 
0.9%
자동차 25
 
0.9%
의약품 18
 
0.6%
건강기능식품 18
 
0.6%
접착제 18
 
0.6%
Other values (1642) 2170
74.5%
2023-12-12T20:26:08.004999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1940
 
14.0%
, 698
 
5.1%
334
 
2.4%
316
 
2.3%
307
 
2.2%
279
 
2.0%
230
 
1.7%
214
 
1.5%
182
 
1.3%
169
 
1.2%
Other values (579) 9148
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9344
67.6%
Space Separator 1940
 
14.0%
Uppercase Letter 974
 
7.0%
Other Punctuation 741
 
5.4%
Lowercase Letter 459
 
3.3%
Open Punctuation 149
 
1.1%
Close Punctuation 149
 
1.1%
Decimal Number 41
 
0.3%
Dash Punctuation 17
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
334
 
3.6%
316
 
3.4%
307
 
3.3%
279
 
3.0%
230
 
2.5%
214
 
2.3%
182
 
1.9%
169
 
1.8%
145
 
1.6%
145
 
1.6%
Other values (510) 7023
75.2%
Uppercase Letter
ValueCountFrequency (%)
P 107
 
11.0%
C 90
 
9.2%
A 79
 
8.1%
S 77
 
7.9%
E 61
 
6.3%
L 59
 
6.1%
T 54
 
5.5%
R 53
 
5.4%
D 50
 
5.1%
I 48
 
4.9%
Other values (15) 296
30.4%
Lowercase Letter
ValueCountFrequency (%)
e 56
12.2%
a 46
10.0%
i 42
 
9.2%
t 37
 
8.1%
r 37
 
8.1%
l 29
 
6.3%
n 29
 
6.3%
o 27
 
5.9%
c 21
 
4.6%
s 21
 
4.6%
Other values (14) 114
24.8%
Other Punctuation
ValueCountFrequency (%)
, 698
94.2%
/ 16
 
2.2%
; 15
 
2.0%
· 4
 
0.5%
. 3
 
0.4%
& 3
 
0.4%
' 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 12
29.3%
3 7
17.1%
4 6
14.6%
0 6
14.6%
1 6
14.6%
6 3
 
7.3%
5 1
 
2.4%
Space Separator
ValueCountFrequency (%)
1940
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9340
67.6%
Common 3040
 
22.0%
Latin 1433
 
10.4%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
334
 
3.6%
316
 
3.4%
307
 
3.3%
279
 
3.0%
230
 
2.5%
214
 
2.3%
182
 
1.9%
169
 
1.8%
145
 
1.6%
145
 
1.6%
Other values (509) 7019
75.1%
Latin
ValueCountFrequency (%)
P 107
 
7.5%
C 90
 
6.3%
A 79
 
5.5%
S 77
 
5.4%
E 61
 
4.3%
L 59
 
4.1%
e 56
 
3.9%
T 54
 
3.8%
R 53
 
3.7%
D 50
 
3.5%
Other values (39) 747
52.1%
Common
ValueCountFrequency (%)
1940
63.8%
, 698
 
23.0%
( 149
 
4.9%
) 149
 
4.9%
- 17
 
0.6%
/ 16
 
0.5%
; 15
 
0.5%
2 12
 
0.4%
3 7
 
0.2%
4 6
 
0.2%
Other values (10) 31
 
1.0%
Han
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9340
67.6%
ASCII 4468
32.3%
CJK 4
 
< 0.1%
None 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1940
43.4%
, 698
 
15.6%
( 149
 
3.3%
) 149
 
3.3%
P 107
 
2.4%
C 90
 
2.0%
A 79
 
1.8%
S 77
 
1.7%
E 61
 
1.4%
L 59
 
1.3%
Other values (57) 1059
23.7%
Hangul
ValueCountFrequency (%)
334
 
3.6%
316
 
3.4%
307
 
3.3%
279
 
3.0%
230
 
2.5%
214
 
2.3%
182
 
1.9%
169
 
1.8%
145
 
1.6%
145
 
1.6%
Other values (509) 7019
75.1%
CJK
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

지역구분
Categorical

Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
충북 청주시
420 
충북 음성군
201 
충북 진천군
156 
충북 충주시
64 
충북 제천시
 
36
Other values (8)
123 

Length

Max length30
Median length6
Mean length5.916
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row충북 진천군
2nd row충북 청주시
3rd row충북 청주시
4th row충북 제천시
5th row충북 음성군

Common Values

ValueCountFrequency (%)
충북 청주시 420
42.0%
충북 음성군 201
20.1%
충북 진천군 156
 
15.6%
충북 충주시 64
 
6.4%
충북 제천시 36
 
3.6%
충북 옥천군 34
 
3.4%
기타 27
 
2.7%
충북 보은군 18
 
1.8%
충북 괴산군 15
 
1.5%
충북 증평군 15
 
1.5%
Other values (3) 14
 
1.4%

Length

2023-12-12T20:26:08.261252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 973
49.3%
청주시 420
21.3%
음성군 201
 
10.2%
진천군 156
 
7.9%
충주시 64
 
3.2%
제천시 36
 
1.8%
옥천군 34
 
1.7%
기타 27
 
1.4%
보은군 18
 
0.9%
괴산군 15
 
0.8%
Other values (4) 29
 
1.5%

2017년이익잉여금
Real number (ℝ)

Distinct991
Distinct (%)100.0%
Missing9
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean8.3698473 × 1010
Minimum-2.03249 × 1011
Maximum2.57125 × 1013
Zeros0
Zeros (%)0.0%
Negative175
Negative (%)17.5%
Memory size8.9 KiB
2023-12-12T20:26:08.493459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.03249 × 1011
5-th percentile-5.0885955 × 109
Q11.18213 × 108
median1.217492 × 109
Q36.132088 × 109
95-th percentile7.4643139 × 1010
Maximum2.57125 × 1013
Range2.5915749 × 1013
Interquartile range (IQR)6.013875 × 109

Descriptive statistics

Standard deviation1.1323257 × 1012
Coefficient of variation (CV)13.52863
Kurtosis374.85244
Mean8.3698473 × 1010
Median Absolute Deviation (MAD)1.480492 × 109
Skewness18.746251
Sum8.2945187 × 1013
Variance1.2821614 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:08.742629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9248213000 1
 
0.1%
25990520000 1
 
0.1%
-76011045000 1
 
0.1%
1553178000 1
 
0.1%
2549284000 1
 
0.1%
646167000 1
 
0.1%
31303000 1
 
0.1%
5992202000 1
 
0.1%
-133715000 1
 
0.1%
-167565000 1
 
0.1%
Other values (981) 981
98.1%
(Missing) 9
 
0.9%
ValueCountFrequency (%)
-203249000000 1
0.1%
-76011045000 1
0.1%
-74995751000 1
0.1%
-74589629000 1
0.1%
-68300809000 1
0.1%
-67085017000 1
0.1%
-66654356000 1
0.1%
-63453511000 1
0.1%
-46923037000 1
0.1%
-41621140000 1
0.1%
ValueCountFrequency (%)
25712500000000 1
0.1%
19740100000000 1
0.1%
13188500000000 1
0.1%
5602970000000 1
0.1%
3104400000000 1
0.1%
2356720000000 1
0.1%
1448970000000 1
0.1%
1013410000000 1
0.1%
672355000000 1
0.1%
402086000000 1
0.1%

2018년이익잉여금
Real number (ℝ)

SKEWED 

Distinct998
Distinct (%)100.0%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1.035691 × 1011
Minimum-9.1905202 × 1010
Maximum4.03261 × 1013
Zeros0
Zeros (%)0.0%
Negative185
Negative (%)18.5%
Memory size8.9 KiB
2023-12-12T20:26:08.962901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9.1905202 × 1010
5-th percentile-6.0485146 × 109
Q11.59236 × 108
median1.3239475 × 109
Q36.7282838 × 109
95-th percentile8.1820743 × 1010
Maximum4.03261 × 1013
Range4.0418005 × 1013
Interquartile range (IQR)6.5690478 × 109

Descriptive statistics

Standard deviation1.5242847 × 1012
Coefficient of variation (CV)14.717563
Kurtosis529.10768
Mean1.035691 × 1011
Median Absolute Deviation (MAD)1.82988 × 109
Skewness21.899882
Sum1.0336196 × 1014
Variance2.3234438 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:09.203822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4983501000 1
 
0.1%
458244000 1
 
0.1%
6060933000 1
 
0.1%
-39148000 1
 
0.1%
-642889000 1
 
0.1%
426021000 1
 
0.1%
428762000 1
 
0.1%
557549000 1
 
0.1%
871745000 1
 
0.1%
10620306000 1
 
0.1%
Other values (988) 988
98.8%
(Missing) 2
 
0.2%
ValueCountFrequency (%)
-91905202000 1
0.1%
-85135888000 1
0.1%
-81842620000 1
0.1%
-78901369000 1
0.1%
-77615399000 1
0.1%
-72112735000 1
0.1%
-69527580000 1
0.1%
-68202275000 1
0.1%
-63413991000 1
0.1%
-53585054000 1
0.1%
ValueCountFrequency (%)
40326100000000 1
0.1%
20930300000000 1
0.1%
14255600000000 1
0.1%
5460710000000 1
0.1%
3612820000000 1
0.1%
3211280000000 1
0.1%
1535120000000 1
0.1%
998995000000 1
0.1%
989054000000 1
0.1%
710608000000 1
0.1%

2019년이익잉여금
Real number (ℝ)

SKEWED  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.054954 × 1011
Minimum-9.4402358 × 1010
Maximum4.06877 × 1013
Zeros0
Zeros (%)0.0%
Negative173
Negative (%)17.3%
Memory size8.9 KiB
2023-12-12T20:26:09.434413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9.4402358 × 1010
5-th percentile-6.3838879 × 109
Q12.329265 × 108
median1.5256965 × 109
Q37.5847238 × 109
95-th percentile9.5842514 × 1010
Maximum4.06877 × 1013
Range4.0782102 × 1013
Interquartile range (IQR)7.3517972 × 109

Descriptive statistics

Standard deviation1.5438348 × 1012
Coefficient of variation (CV)14.634144
Kurtosis525.46128
Mean1.054954 × 1011
Median Absolute Deviation (MAD)2.008514 × 109
Skewness21.876561
Sum1.054954 × 1014
Variance2.383426 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:09.650447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21993600000000 1
 
0.1%
-1108269000 1
 
0.1%
6391224000 1
 
0.1%
159338000 1
 
0.1%
-430590000 1
 
0.1%
126538000 1
 
0.1%
553064000 1
 
0.1%
2416240000 1
 
0.1%
612299000 1
 
0.1%
10477317000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
-94402358000 1
0.1%
-93997871000 1
0.1%
-88425897000 1
0.1%
-77181400000 1
0.1%
-74835152000 1
0.1%
-73174335000 1
0.1%
-68838824000 1
0.1%
-68046727000 1
0.1%
-64911002000 1
0.1%
-61360670000 1
0.1%
ValueCountFrequency (%)
40687700000000 1
0.1%
21993600000000 1
0.1%
14111600000000 1
0.1%
5006110000000 1
0.1%
3475670000000 1
0.1%
3078600000000 1
0.1%
1676920000000 1
0.1%
955468000000 1
0.1%
933813000000 1
0.1%
704889000000 1
0.1%

2020년이익잉여금
Real number (ℝ)

SKEWED 

Distinct999
Distinct (%)100.0%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.1338756 × 1011
Minimum-1.1561 × 1011
Maximum4.42217 × 1013
Zeros0
Zeros (%)0.0%
Negative172
Negative (%)17.2%
Memory size8.9 KiB
2023-12-12T20:26:09.862263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.1561 × 1011
5-th percentile-8.4280289 × 109
Q12.950935 × 108
median1.745077 × 109
Q38.4229175 × 109
95-th percentile1.077847 × 1011
Maximum4.42217 × 1013
Range4.433731 × 1013
Interquartile range (IQR)8.127824 × 109

Descriptive statistics

Standard deviation1.6543043 × 1012
Coefficient of variation (CV)14.589821
Kurtosis547.46996
Mean1.1338756 × 1011
Median Absolute Deviation (MAD)2.225182 × 109
Skewness22.286177
Sum1.1327418 × 1014
Variance2.7367228 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:10.041056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22849400000000 1
 
0.1%
-1043460000 1
 
0.1%
6855749000 1
 
0.1%
349140000 1
 
0.1%
-129338000 1
 
0.1%
473140000 1
 
0.1%
712476000 1
 
0.1%
2478155000 1
 
0.1%
-224868000 1
 
0.1%
12657508000 1
 
0.1%
Other values (989) 989
98.9%
ValueCountFrequency (%)
-115610000000 1
0.1%
-103736000000 1
0.1%
-95284371000 1
0.1%
-93058237000 1
0.1%
-82403926000 1
0.1%
-76137428000 1
0.1%
-75664082000 1
0.1%
-75663347000 1
0.1%
-71578664000 1
0.1%
-69540378000 1
0.1%
ValueCountFrequency (%)
44221700000000 1
0.1%
22849400000000 1
0.1%
13891100000000 1
0.1%
6018120000000 1
0.1%
4149580000000 1
0.1%
3356390000000 1
0.1%
1786040000000 1
0.1%
1242300000000 1
0.1%
956062000000 1
0.1%
755297000000 1
0.1%

2021년이익잉여금
Real number (ℝ)

MISSING  SKEWED 

Distinct906
Distinct (%)100.0%
Missing94
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean1.4024465 × 1011
Minimum-1.81828 × 1011
Maximum5.29769 × 1013
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)15.2%
Memory size8.9 KiB
2023-12-12T20:26:10.227338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81828 × 1011
5-th percentile-9.523998 × 109
Q13.638885 × 108
median2.1970815 × 109
Q31.1778439 × 1010
95-th percentile1.3598825 × 1011
Maximum5.29769 × 1013
Range5.3158728 × 1013
Interquartile range (IQR)1.1414551 × 1010

Descriptive statistics

Standard deviation2.0134095 × 1012
Coefficient of variation (CV)14.356408
Kurtosis549.40683
Mean1.4024465 × 1011
Median Absolute Deviation (MAD)2.8834025 × 109
Skewness22.333394
Sum1.2706166 × 1014
Variance4.0538177 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:10.502354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
275240000 1
 
0.1%
545181000 1
 
0.1%
2395674000 1
 
0.1%
197598000 1
 
0.1%
1273304000 1
 
0.1%
1893889000 1
 
0.1%
338843000 1
 
0.1%
663813000 1
 
0.1%
2417297000 1
 
0.1%
1842670000 1
 
0.1%
Other values (896) 896
89.6%
(Missing) 94
 
9.4%
ValueCountFrequency (%)
-181828000000 1
0.1%
-115834000000 1
0.1%
-106161000000 1
0.1%
-90522707000 1
0.1%
-84679005000 1
0.1%
-75626030000 1
0.1%
-73903895000 1
0.1%
-73379376000 1
0.1%
-58140616000 1
0.1%
-56317535000 1
0.1%
ValueCountFrequency (%)
52976900000000 1
0.1%
23708100000000 1
0.1%
15658300000000 1
0.1%
4981810000000 1
0.1%
4940120000000 1
0.1%
3582710000000 1
0.1%
1886260000000 1
0.1%
1515020000000 1
0.1%
881728000000 1
0.1%
829993000000 1
0.1%

2017년매출액
Real number (ℝ)

MISSING 

Distinct981
Distinct (%)100.0%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.5464655 × 1011
Minimum660000
Maximum3.19665 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:10.712555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum660000
5-th percentile2.91054 × 108
Q12.003189 × 109
median7.12969 × 109
Q32.4041159 × 1010
95-th percentile2.24366 × 1011
Maximum3.19665 × 1013
Range3.1966499 × 1013
Interquartile range (IQR)2.203797 × 1010

Descriptive statistics

Standard deviation1.677666 × 1012
Coefficient of variation (CV)10.848389
Kurtosis270.60745
Mean1.5464655 × 1011
Median Absolute Deviation (MAD)6.042972 × 109
Skewness16.08646
Sum1.5170827 × 1014
Variance2.8145633 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:10.929843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5466766000 1
 
0.1%
28728765000 1
 
0.1%
1727297000 1
 
0.1%
64876536000 1
 
0.1%
82228320000 1
 
0.1%
2657681000 1
 
0.1%
18396324000 1
 
0.1%
1814679000 1
 
0.1%
5523998000 1
 
0.1%
46820303000 1
 
0.1%
Other values (971) 971
97.1%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
660000 1
0.1%
727000 1
0.1%
1909000 1
0.1%
2663000 1
0.1%
2701000 1
0.1%
2727000 1
0.1%
15159000 1
0.1%
16290000 1
0.1%
19548000 1
0.1%
25364000 1
0.1%
ValueCountFrequency (%)
31966500000000 1
0.1%
29718900000000 1
0.1%
20880200000000 1
0.1%
19417700000000 1
0.1%
5267130000000 1
0.1%
3965440000000 1
0.1%
2320500000000 1
0.1%
1446350000000 1
0.1%
1200000000000 1
0.1%
1159460000000 1
0.1%

2018년매출액
Real number (ℝ)

Distinct997
Distinct (%)100.0%
Missing3
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.6889861 × 1011
Minimum11129000
Maximum4.03247 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:11.129885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11129000
5-th percentile3.891326 × 108
Q12.291053 × 109
median7.520456 × 109
Q32.5766282 × 1010
95-th percentile2.345668 × 1011
Maximum4.03247 × 1013
Range4.0324689 × 1013
Interquartile range (IQR)2.3475229 × 1010

Descriptive statistics

Standard deviation1.8845891 × 1012
Coefficient of variation (CV)11.158109
Kurtosis305.27799
Mean1.6889861 × 1011
Median Absolute Deviation (MAD)6.305423 × 109
Skewness16.886501
Sum1.6839192 × 1014
Variance3.5516762 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:11.383811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9856044000 1
 
0.1%
1606052000 1
 
0.1%
17166317000 1
 
0.1%
51290805000 1
 
0.1%
3674068000 1
 
0.1%
208510000 1
 
0.1%
66733000 1
 
0.1%
3060296000 1
 
0.1%
6939579000 1
 
0.1%
8295504000 1
 
0.1%
Other values (987) 987
98.7%
(Missing) 3
 
0.3%
ValueCountFrequency (%)
11129000 1
0.1%
18963000 1
0.1%
51426000 1
0.1%
54936000 1
0.1%
58943000 1
0.1%
66733000 1
0.1%
67700000 1
0.1%
72000000 1
0.1%
76919000 1
0.1%
97890000 1
0.1%
ValueCountFrequency (%)
40324700000000 1
0.1%
29982000000000 1
0.1%
23315300000000 1
0.1%
20517200000000 1
0.1%
6045730000000 1
0.1%
3997660000000 1
0.1%
2395500000000 1
0.1%
1633520000000 1
0.1%
1328250000000 1
0.1%
1196670000000 1
0.1%

2019년매출액
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5386599 × 1011
Minimum34309000
Maximum2.86545 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:11.658774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34309000
5-th percentile5.0373505 × 108
Q12.48823 × 109
median8.117801 × 109
Q32.4969296 × 1010
95-th percentile2.2668625 × 1011
Maximum2.86545 × 1013
Range2.8654466 × 1013
Interquartile range (IQR)2.2481066 × 1010

Descriptive statistics

Standard deviation1.5814508 × 1012
Coefficient of variation (CV)10.278105
Kurtosis244.46088
Mean1.5386599 × 1011
Median Absolute Deviation (MAD)6.798721 × 109
Skewness15.427925
Sum1.5386599 × 1014
Variance2.5009865 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:11.912506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22624700000000 1
 
0.1%
1012095000 1
 
0.1%
58889318000 1
 
0.1%
4257974000 1
 
0.1%
881825000 1
 
0.1%
1251640000 1
 
0.1%
1743121000 1
 
0.1%
7124149000 1
 
0.1%
1811906000 1
 
0.1%
15474703000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
34309000 1
0.1%
55293000 1
0.1%
58922000 1
0.1%
66544000 1
0.1%
72150000 1
0.1%
77122000 1
0.1%
93421000 1
0.1%
94750000 1
0.1%
104557000 1
0.1%
112982000 1
0.1%
ValueCountFrequency (%)
28654500000000 1
0.1%
25320800000000 1
0.1%
22624700000000 1
0.1%
21809600000000 1
0.1%
5882530000000 1
0.1%
3382300000000 1
0.1%
2531010000000 1
0.1%
1741410000000 1
0.1%
1403680000000 1
0.1%
1300790000000 1
0.1%

2020년매출액
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5924486 × 1011
Minimum36710000
Maximum3.0525 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:12.725719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36710000
5-th percentile5.3645205 × 108
Q12.6240092 × 109
median8.3029045 × 109
Q32.7227091 × 1010
95-th percentile2.4131895 × 1011
Maximum3.0525 × 1013
Range3.0524963 × 1013
Interquartile range (IQR)2.4603082 × 1010

Descriptive statistics

Standard deviation1.6060413 × 1012
Coefficient of variation (CV)10.085357
Kurtosis249.73292
Mean1.5924486 × 1011
Median Absolute Deviation (MAD)7.0048415 × 109
Skewness15.475485
Sum1.5924486 × 1014
Variance2.5793685 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:12.964851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22954500000000 1
 
0.1%
1631573000 1
 
0.1%
50105970000 1
 
0.1%
4286119000 1
 
0.1%
1453072000 1
 
0.1%
979046000 1
 
0.1%
3072093000 1
 
0.1%
7067428000 1
 
0.1%
724294000 1
 
0.1%
12577121000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
36710000 1
0.1%
46125000 1
0.1%
65193000 1
0.1%
77360000 1
0.1%
98893000 1
0.1%
130976000 1
0.1%
138775000 1
0.1%
143550000 1
0.1%
145487000 1
0.1%
149043000 1
0.1%
ValueCountFrequency (%)
30525000000000 1
0.1%
24735800000000 1
0.1%
22954500000000 1
0.1%
20830000000000 1
0.1%
5980830000000 1
0.1%
5717320000000 1
0.1%
2592550000000 1
0.1%
1894780000000 1
0.1%
1370030000000 1
0.1%
1333570000000 1
0.1%

2021년매출액
Real number (ℝ)

MISSING 

Distinct907
Distinct (%)100.0%
Missing93
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean2.0474023 × 1011
Minimum1669000
Maximum4.15573 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:13.228025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1669000
5-th percentile6.300141 × 108
Q13.3310335 × 109
median1.1562959 × 1010
Q33.6030657 × 1010
95-th percentile2.979122 × 1011
Maximum4.15573 × 1013
Range4.1557298 × 1013
Interquartile range (IQR)3.2699624 × 1010

Descriptive statistics

Standard deviation2.0382333 × 1012
Coefficient of variation (CV)9.9552163
Kurtosis268.45827
Mean2.0474023 × 1011
Median Absolute Deviation (MAD)9.654615 × 109
Skewness15.760903
Sum1.8569939 × 1014
Variance4.1543948 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:13.461195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1499067000 1
 
0.1%
828561000 1
 
0.1%
8110471000 1
 
0.1%
1643560000 1
 
0.1%
13419820000 1
 
0.1%
47129693000 1
 
0.1%
1177794000 1
 
0.1%
4627902000 1
 
0.1%
5897989000 1
 
0.1%
2821293000 1
 
0.1%
Other values (897) 897
89.7%
(Missing) 93
 
9.3%
ValueCountFrequency (%)
1669000 1
0.1%
12100000 1
0.1%
76876000 1
0.1%
78274000 1
0.1%
91124000 1
0.1%
106760000 1
0.1%
107733000 1
0.1%
136398000 1
0.1%
146398000 1
0.1%
158519000 1
0.1%
ValueCountFrequency (%)
41557300000000 1
0.1%
27778000000000 1
0.1%
27328600000000 1
0.1%
20471000000000 1
0.1%
7395680000000 1
0.1%
6796070000000 1
0.1%
2814650000000 1
0.1%
2022220000000 1
0.1%
1638770000000 1
0.1%
1486140000000 1
0.1%

2017년자본총계
Real number (ℝ)

Distinct994
Distinct (%)100.0%
Missing6
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.1262518 × 1011
Minimum-5.326903 × 1010
Maximum3.27719 × 1013
Zeros0
Zeros (%)0.0%
Negative40
Negative (%)4.0%
Memory size8.9 KiB
2023-12-12T20:26:13.691871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.326903 × 1010
5-th percentile30544350
Q17.1172775 × 108
median2.671389 × 109
Q31.1311623 × 1010
95-th percentile1.4427145 × 1011
Maximum3.27719 × 1013
Range3.2825169 × 1013
Interquartile range (IQR)1.0599896 × 1010

Descriptive statistics

Standard deviation1.3779772 × 1012
Coefficient of variation (CV)12.235072
Kurtosis390.74939
Mean1.1262518 × 1011
Median Absolute Deviation (MAD)2.4159975 × 109
Skewness18.848906
Sum1.1194943 × 1014
Variance1.8988211 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:13.949034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5917687000 1
 
0.1%
1603178000 1
 
0.1%
3875509000 1
 
0.1%
796167000 1
 
0.1%
14017312000 1
 
0.1%
11599174000 1
 
0.1%
578580000 1
 
0.1%
-147565000 1
 
0.1%
1200976000 1
 
0.1%
633391000 1
 
0.1%
Other values (984) 984
98.4%
(Missing) 6
 
0.6%
ValueCountFrequency (%)
-53269030000 1
0.1%
-32810729000 1
0.1%
-13384416000 1
0.1%
-8643803000 1
0.1%
-5685133000 1
0.1%
-5632803000 1
0.1%
-4927220000 1
0.1%
-4745599000 1
0.1%
-4369622000 1
0.1%
-3747405000 1
0.1%
ValueCountFrequency (%)
32771900000000 1
0.1%
21232900000000 1
0.1%
15505500000000 1
0.1%
9544860000000 1
0.1%
4697830000000 1
0.1%
3260210000000 1
0.1%
1630610000000 1
0.1%
1043130000000 1
0.1%
1032620000000 1
0.1%
882640000000 1
0.1%

2018년자본총계
Real number (ℝ)

SKEWED 

Distinct998
Distinct (%)99.9%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.3144114 × 1011
Minimum-8.355071 × 109
Maximum4.56609 × 1013
Zeros0
Zeros (%)0.0%
Negative37
Negative (%)3.7%
Memory size8.9 KiB
2023-12-12T20:26:14.184246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-8.355071 × 109
5-th percentile70869500
Q18.680185 × 108
median3.066345 × 109
Q31.2292072 × 1010
95-th percentile1.532559 × 1011
Maximum4.56609 × 1013
Range4.5669255 × 1013
Interquartile range (IQR)1.1424054 × 1010

Descriptive statistics

Standard deviation1.7311571 × 1012
Coefficient of variation (CV)13.170589
Kurtosis516.00275
Mean1.3144114 × 1011
Median Absolute Deviation (MAD)2.729291 × 109
Skewness21.456715
Sum1.3130969 × 1014
Variance2.996905 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:14.406373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180860000000 2
 
0.2%
22406400000000 1
 
0.1%
834411000 1
 
0.1%
11667905000 1
 
0.1%
673147000 1
 
0.1%
-131889000 1
 
0.1%
676021000 1
 
0.1%
818762000 1
 
0.1%
2925215000 1
 
0.1%
991745000 1
 
0.1%
Other values (988) 988
98.8%
ValueCountFrequency (%)
-8355071000 1
0.1%
-5892409000 1
0.1%
-5888230000 1
0.1%
-5522063000 1
0.1%
-5283559000 1
0.1%
-5172444000 1
0.1%
-5052215000 1
0.1%
-4435510000 1
0.1%
-3146853000 1
0.1%
-3075252000 1
0.1%
ValueCountFrequency (%)
45660900000000 1
0.1%
22406400000000 1
0.1%
16549900000000 1
0.1%
9362880000000 1
0.1%
5151290000000 1
0.1%
4761320000000 1
0.1%
1710820000000 1
0.1%
1129030000000 1
0.1%
1056300000000 1
0.1%
930690000000 1
0.1%

2019년자본총계
Real number (ℝ)

SKEWED  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3529957 × 1011
Minimum-1.207927 × 1010
Maximum4.60369 × 1013
Zeros0
Zeros (%)0.0%
Negative31
Negative (%)3.1%
Memory size8.9 KiB
2023-12-12T20:26:14.644388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.207927 × 1010
5-th percentile1.1597655 × 108
Q11.022099 × 109
median3.5456655 × 109
Q31.2524865 × 1010
95-th percentile1.622943 × 1011
Maximum4.60369 × 1013
Range4.6048979 × 1013
Interquartile range (IQR)1.1502766 × 1010

Descriptive statistics

Standard deviation1.7499583 × 1012
Coefficient of variation (CV)12.933953
Kurtosis513.5453
Mean1.3529957 × 1011
Median Absolute Deviation (MAD)3.108363 × 109
Skewness21.440012
Sum1.3529957 × 1014
Variance3.062354 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:14.925206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23406300000000 1
 
0.1%
1239785000 1
 
0.1%
11998196000 1
 
0.1%
871633000 1
 
0.1%
236410000 1
 
0.1%
376538000 1
 
0.1%
943064000 1
 
0.1%
4243420000 1
 
0.1%
732299000 1
 
0.1%
10830277000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
-12079270000 1
0.1%
-6002630000 1
0.1%
-5647394000 1
0.1%
-5361869000 1
0.1%
-5170040000 1
0.1%
-5040519000 1
0.1%
-4940572000 1
0.1%
-4821482000 1
0.1%
-4738446000 1
0.1%
-3731358000 1
0.1%
ValueCountFrequency (%)
46036900000000 1
0.1%
23406300000000 1
0.1%
16460200000000 1
0.1%
8893330000000 1
0.1%
5015670000000 1
0.1%
4634670000000 1
0.1%
1898360000000 1
0.1%
1250000000000 1
0.1%
1083100000000 1
0.1%
1049300000000 1
0.1%

2020년자본총계
Real number (ℝ)

SKEWED  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4601908 × 1011
Minimum-1.2750346 × 1010
Maximum4.95743 × 1013
Zeros0
Zeros (%)0.0%
Negative32
Negative (%)3.2%
Memory size8.9 KiB
2023-12-12T20:26:15.166891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.2750346 × 1010
5-th percentile1.312263 × 108
Q11.2076935 × 109
median3.836777 × 109
Q31.4309008 × 1010
95-th percentile1.7637465 × 1011
Maximum4.95743 × 1013
Range4.958705 × 1013
Interquartile range (IQR)1.3101314 × 1010

Descriptive statistics

Standard deviation1.8663658 × 1012
Coefficient of variation (CV)12.781657
Kurtosis527.20207
Mean1.4601908 × 1011
Median Absolute Deviation (MAD)3.33057 × 109
Skewness21.67363
Sum1.4601908 × 1014
Variance3.4833212 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:15.386371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24091300000000 1
 
0.1%
1304594000 1
 
0.1%
12462721000 1
 
0.1%
1061435000 1
 
0.1%
1235806000 1
 
0.1%
723140000 1
 
0.1%
1102476000 1
 
0.1%
4305335000 1
 
0.1%
-104868000 1
 
0.1%
13009922000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
-12750346000 1
0.1%
-8612067000 1
0.1%
-6872555000 1
0.1%
-6660628000 1
0.1%
-5825835000 1
0.1%
-5738820000 1
0.1%
-5421414000 1
0.1%
-4735721000 1
0.1%
-4548250000 1
0.1%
-3284335000 1
0.1%
ValueCountFrequency (%)
49574300000000 1
0.1%
24091300000000 1
0.1%
16963500000000 1
0.1%
9921730000000 1
0.1%
5724220000000 1
0.1%
4922990000000 1
0.1%
2108760000000 1
0.1%
2013510000000 1
0.1%
1385970000000 1
0.1%
1327800000000 1
0.1%

2021년자본총계
Real number (ℝ)

MISSING  SKEWED 

Distinct907
Distinct (%)100.0%
Missing93
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.7882765 × 1011
Minimum-1.1761051 × 1010
Maximum5.87376 × 1013
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)3.0%
Memory size8.9 KiB
2023-12-12T20:26:15.590466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.1761051 × 1010
5-th percentile1.364233 × 108
Q11.4304175 × 109
median4.913214 × 109
Q31.8980742 × 1010
95-th percentile2.273052 × 1011
Maximum5.87376 × 1013
Range5.8749361 × 1013
Interquartile range (IQR)1.7550324 × 1010

Descriptive statistics

Standard deviation2.2450894 × 1012
Coefficient of variation (CV)12.554487
Kurtosis532.42144
Mean1.7882765 × 1011
Median Absolute Deviation (MAD)4.35567 × 109
Skewness21.800877
Sum1.6219668 × 1014
Variance5.0404262 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:15.851691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378240000 1
 
0.1%
715181000 1
 
0.1%
2660674000 1
 
0.1%
377598000 1
 
0.1%
1493304000 1
 
0.1%
5607488000 1
 
0.1%
348843000 1
 
0.1%
1063813000 1
 
0.1%
2516617000 1
 
0.1%
2148900000 1
 
0.1%
Other values (897) 897
89.7%
(Missing) 93
 
9.3%
ValueCountFrequency (%)
-11761051000 1
0.1%
-9703013000 1
0.1%
-7261791000 1
0.1%
-7163584000 1
0.1%
-6435376000 1
0.1%
-5757441000 1
0.1%
-5353129000 1
0.1%
-3801124000 1
0.1%
-3227229000 1
0.1%
-2950218000 1
0.1%
ValueCountFrequency (%)
58737600000000 1
0.1%
24578900000000 1
0.1%
18784900000000 1
0.1%
8890260000000 1
0.1%
7842630000000 1
0.1%
5133510000000 1
0.1%
2113420000000 1
0.1%
1658860000000 1
0.1%
1654600000000 1
0.1%
1225450000000 1
0.1%

2017년부채총계
Real number (ℝ)

Distinct993
Distinct (%)100.0%
Missing7
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean6.7602323 × 1010
Minimum120000
Maximum1.86149 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:16.155486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120000
5-th percentile1.710114 × 108
Q11.101999 × 109
median3.439178 × 109
Q31.2233881 × 1010
95-th percentile9.6687423 × 1010
Maximum1.86149 × 1013
Range1.86149 × 1013
Interquartile range (IQR)1.1131882 × 1010

Descriptive statistics

Standard deviation7.463896 × 1011
Coefficient of variation (CV)11.040887
Kurtosis445.2833
Mean6.7602323 × 1010
Median Absolute Deviation (MAD)2.983178 × 109
Skewness19.946557
Sum6.7129107 × 1013
Variance5.5709744 × 1023
MonotonicityNot monotonic
2023-12-12T20:26:16.453471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
277204000 1
 
0.1%
94038693000 1
 
0.1%
911396000 1
 
0.1%
4100898000 1
 
0.1%
2332836000 1
 
0.1%
5020706000 1
 
0.1%
23239174000 1
 
0.1%
1432781000 1
 
0.1%
434730000 1
 
0.1%
2026683000 1
 
0.1%
Other values (983) 983
98.3%
(Missing) 7
 
0.7%
ValueCountFrequency (%)
120000 1
0.1%
272000 1
0.1%
815000 1
0.1%
1945000 1
0.1%
2640000 1
0.1%
3440000 1
0.1%
5444000 1
0.1%
15853000 1
0.1%
16634000 1
0.1%
21606000 1
0.1%
ValueCountFrequency (%)
18614900000000 1
0.1%
11541000000000 1
0.1%
5642600000000 1
0.1%
4129480000000 1
0.1%
3939400000000 1
0.1%
2785780000000 1
0.1%
1107260000000 1
0.1%
723616000000 1
0.1%
693184000000 1
0.1%
563804000000 1
0.1%

2018년부채총계
Real number (ℝ)

Distinct999
Distinct (%)100.0%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean7.4231671 × 1010
Minimum6360000
Maximum1.85026 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:16.785799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6360000
5-th percentile2.493159 × 108
Q11.316812 × 109
median3.660373 × 109
Q31.2295204 × 1010
95-th percentile1.030466 × 1011
Maximum1.85026 × 1013
Range1.8502594 × 1013
Interquartile range (IQR)1.0978392 × 1010

Descriptive statistics

Standard deviation8.2157327 × 1011
Coefficient of variation (CV)11.067692
Kurtosis378.95825
Mean7.4231671 × 1010
Median Absolute Deviation (MAD)3.028826 × 109
Skewness18.71528
Sum7.4157439 × 1013
Variance6.7498264 × 1023
MonotonicityNot monotonic
2023-12-12T20:26:17.073864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4771400000000 1
 
0.1%
3107917000 1
 
0.1%
13726803000 1
 
0.1%
23179182000 1
 
0.1%
1446306000 1
 
0.1%
1148791000 1
 
0.1%
1172483000 1
 
0.1%
1528738000 1
 
0.1%
8081591000 1
 
0.1%
2634710000 1
 
0.1%
Other values (989) 989
98.9%
ValueCountFrequency (%)
6360000 1
0.1%
11692000 1
0.1%
12886000 1
0.1%
27596000 1
0.1%
29648000 1
0.1%
44641000 1
0.1%
45397000 1
0.1%
46257000 1
0.1%
53052000 1
0.1%
101655000 1
0.1%
ValueCountFrequency (%)
18502600000000 1
0.1%
15319700000000 1
0.1%
7180670000000 1
0.1%
4771400000000 1
0.1%
3828200000000 1
0.1%
2669300000000 1
0.1%
1202850000000 1
0.1%
770091000000 1
0.1%
645506000000 1
0.1%
557849000000 1
0.1%

2019년부채총계
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1889988 × 1010
Minimum8900000
Maximum1.85816 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:17.359037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8900000
5-th percentile3.5973245 × 108
Q11.5037332 × 109
median4.00849 × 109
Q31.4151926 × 1010
95-th percentile1.221404 × 1011
Maximum1.85816 × 1013
Range1.8581591 × 1013
Interquartile range (IQR)1.2648193 × 1010

Descriptive statistics

Standard deviation8.3326971 × 1011
Coefficient of variation (CV)10.175477
Kurtosis317.10742
Mean8.1889988 × 1010
Median Absolute Deviation (MAD)3.2184575 × 109
Skewness16.873187
Sum8.1889988 × 1013
Variance6.9433841 × 1023
MonotonicityNot monotonic
2023-12-12T20:26:17.685593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6394000000000 1
 
0.1%
6936757000 1
 
0.1%
20953396000 1
 
0.1%
1246072000 1
 
0.1%
1174164000 1
 
0.1%
1287276000 1
 
0.1%
1344868000 1
 
0.1%
5235953000 1
 
0.1%
2650619000 1
 
0.1%
6333210000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
8900000 1
0.1%
8946000 1
0.1%
9994000 1
0.1%
72129000 1
0.1%
73053000 1
0.1%
74215000 1
0.1%
79654000 1
0.1%
99029000 1
0.1%
99463000 1
0.1%
108010000 1
0.1%
ValueCountFrequency (%)
18581600000000 1
0.1%
12132000000000 1
0.1%
10566900000000 1
0.1%
6394000000000 1
0.1%
6042720000000 1
0.1%
3228930000000 1
0.1%
1610070000000 1
0.1%
788993000000 1
0.1%
693077000000 1
0.1%
686525000000 1
0.1%

2020년부채총계
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8984515 × 1010
Minimum1565000
Maximum1.97783 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:17.987403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1565000
5-th percentile4.12247 × 108
Q11.826113 × 109
median4.698474 × 109
Q31.5932243 × 1010
95-th percentile1.2594405 × 1011
Maximum1.97783 × 1013
Range1.9778298 × 1013
Interquartile range (IQR)1.410613 × 1010

Descriptive statistics

Standard deviation8.8581774 × 1011
Coefficient of variation (CV)9.9547403
Kurtosis328.76371
Mean8.8984515 × 1010
Median Absolute Deviation (MAD)3.73042 × 109
Skewness17.141949
Sum8.8984515 × 1013
Variance7.8467307 × 1023
MonotonicityNot monotonic
2023-12-12T20:26:18.350797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7150180000000 1
 
0.1%
7208163000 1
 
0.1%
20355758000 1
 
0.1%
1111502000 1
 
0.1%
1459708000 1
 
0.1%
1123852000 1
 
0.1%
1240328000 1
 
0.1%
5537005000 1
 
0.1%
2877048000 1
 
0.1%
2630958000 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1565000 1
0.1%
8196000 1
0.1%
8740000 1
0.1%
28667000 1
0.1%
88378000 1
0.1%
118057000 1
0.1%
123871000 1
0.1%
136235000 1
0.1%
148430000 1
0.1%
151902000 1
0.1%
ValueCountFrequency (%)
19778300000000 1
0.1%
14496700000000 1
0.1%
8886650000000 1
0.1%
7150180000000 1
0.1%
4902190000000 1
0.1%
4615800000000 1
0.1%
2522730000000 1
0.1%
1325170000000 1
0.1%
924909000000 1
0.1%
871640000000 1
0.1%

2021년부채총계
Real number (ℝ)

MISSING 

Distinct907
Distinct (%)100.0%
Missing93
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.2426026 × 1011
Minimum5672000
Maximum2.62349 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:18.738809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5672000
5-th percentile4.629082 × 108
Q12.2584065 × 109
median5.884207 × 109
Q32.015434 × 1010
95-th percentile1.85221 × 1011
Maximum2.62349 × 1013
Range2.6234894 × 1013
Interquartile range (IQR)1.7895933 × 1010

Descriptive statistics

Standard deviation1.2514146 × 1012
Coefficient of variation (CV)10.070915
Kurtosis301.73715
Mean1.2426026 × 1011
Median Absolute Deviation (MAD)4.727945 × 109
Skewness16.546848
Sum1.1270406 × 1014
Variance1.5660385 × 1024
MonotonicityNot monotonic
2023-12-12T20:26:19.114551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1370739000 1
 
0.1%
1904524000 1
 
0.1%
2952194000 1
 
0.1%
690434000 1
 
0.1%
4865461000 1
 
0.1%
17816747000 1
 
0.1%
1012641000 1
 
0.1%
1166744000 1
 
0.1%
4753405000 1
 
0.1%
2323971000 1
 
0.1%
Other values (897) 897
89.7%
(Missing) 93
 
9.3%
ValueCountFrequency (%)
5672000 1
0.1%
7139000 1
0.1%
8993000 1
0.1%
21924000 1
0.1%
34456000 1
0.1%
34576000 1
0.1%
47766000 1
0.1%
55920000 1
0.1%
119032000 1
0.1%
174943000 1
0.1%
ValueCountFrequency (%)
26234900000000 1
0.1%
20703300000000 1
0.1%
12144300000000 1
0.1%
7997300000000 1
0.1%
7467430000000 1
0.1%
5478310000000 1
0.1%
2852750000000 1
0.1%
1581790000000 1
0.1%
860951000000 1
0.1%
839050000000 1
0.1%

2017년매출액영업이익률
Real number (ℝ)

MISSING  SKEWED 

Distinct776
Distinct (%)82.6%
Missing61
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean-33.808765
Minimum-16309.22
Maximum65.31
Zeros1
Zeros (%)0.1%
Negative185
Negative (%)18.5%
Memory size8.9 KiB
2023-12-12T20:26:19.970683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-16309.22
5-th percentile-34.227
Q11.26
median4.86
Q39.345
95-th percentile21.824
Maximum65.31
Range16374.53
Interquartile range (IQR)8.085

Descriptive statistics

Standard deviation609.11082
Coefficient of variation (CV)-18.016359
Kurtosis581.57093
Mean-33.808765
Median Absolute Deviation (MAD)4.1
Skewness-23.203427
Sum-31746.43
Variance371016
MonotonicityNot monotonic
2023-12-12T20:26:20.206087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.19 4
 
0.4%
6.26 4
 
0.4%
0.76 4
 
0.4%
4.03 4
 
0.4%
7.16 4
 
0.4%
4.57 3
 
0.3%
8.61 3
 
0.3%
4.33 3
 
0.3%
7.65 3
 
0.3%
1.69 3
 
0.3%
Other values (766) 904
90.4%
(Missing) 61
 
6.1%
ValueCountFrequency (%)
-16309.22 1
0.1%
-8352.91 1
0.1%
-2465.68 1
0.1%
-1344.85 1
0.1%
-1325.61 1
0.1%
-1019.96 1
0.1%
-999.91 1
0.1%
-813.97 1
0.1%
-494.05 1
0.1%
-330.66 1
0.1%
ValueCountFrequency (%)
65.31 1
0.1%
59.13 1
0.1%
53.17 1
0.1%
47.59 1
0.1%
47.49 1
0.1%
44.89 1
0.1%
44.35 1
0.1%
44.04 1
0.1%
42.38 1
0.1%
39.66 1
0.1%

2018년매출액영업이익률
Real number (ℝ)

MISSING  SKEWED 

Distinct826
Distinct (%)83.6%
Missing12
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean-8.2008097
Minimum-3477.01
Maximum62.95
Zeros0
Zeros (%)0.0%
Negative199
Negative (%)19.9%
Memory size8.9 KiB
2023-12-12T20:26:20.482502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3477.01
5-th percentile-47.0235
Q11.02
median4.705
Q38.8725
95-th percentile20.1395
Maximum62.95
Range3539.96
Interquartile range (IQR)7.8525

Descriptive statistics

Standard deviation129.98518
Coefficient of variation (CV)-15.850286
Kurtosis527.08171
Mean-8.2008097
Median Absolute Deviation (MAD)3.965
Skewness-20.984797
Sum-8102.4
Variance16896.147
MonotonicityNot monotonic
2023-12-12T20:26:20.740047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.53 4
 
0.4%
5.24 3
 
0.3%
3.19 3
 
0.3%
3.39 3
 
0.3%
4.73 3
 
0.3%
1.02 3
 
0.3%
2.89 3
 
0.3%
9.79 3
 
0.3%
2.57 3
 
0.3%
1.35 3
 
0.3%
Other values (816) 957
95.7%
(Missing) 12
 
1.2%
ValueCountFrequency (%)
-3477.01 1
0.1%
-1272.23 1
0.1%
-806.08 1
0.1%
-741.99 1
0.1%
-694.84 1
0.1%
-611.42 1
0.1%
-489.16 1
0.1%
-306.09 1
0.1%
-217.87 1
0.1%
-208.83 1
0.1%
ValueCountFrequency (%)
62.95 1
0.1%
51.03 1
0.1%
47.97 1
0.1%
46.29 1
0.1%
39.04 1
0.1%
36.68 1
0.1%
36.03 1
0.1%
34.67 1
0.1%
33.58 1
0.1%
31.71 1
0.1%

2019년매출액영업이익률
Real number (ℝ)

SKEWED 

Distinct844
Distinct (%)84.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean-9.1175475
Minimum-4623.87
Maximum99.85
Zeros0
Zeros (%)0.0%
Negative186
Negative (%)18.6%
Memory size8.9 KiB
2023-12-12T20:26:20.997181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4623.87
5-th percentile-30.027
Q11.27
median4.65
Q38.6
95-th percentile20.017
Maximum99.85
Range4723.72
Interquartile range (IQR)7.33

Descriptive statistics

Standard deviation175.15057
Coefficient of variation (CV)-19.210272
Kurtosis538.98821
Mean-9.1175475
Median Absolute Deviation (MAD)3.6
Skewness-22.129331
Sum-9108.43
Variance30677.721
MonotonicityNot monotonic
2023-12-12T20:26:21.269079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.46 4
 
0.4%
5.29 4
 
0.4%
2.88 4
 
0.4%
4.97 4
 
0.4%
4.96 3
 
0.3%
3.22 3
 
0.3%
2.83 3
 
0.3%
6.4 3
 
0.3%
2.94 3
 
0.3%
6.87 3
 
0.3%
Other values (834) 965
96.5%
ValueCountFrequency (%)
-4623.87 1
0.1%
-2695.6 1
0.1%
-718.39 1
0.1%
-502.44 1
0.1%
-425.5 1
0.1%
-417.04 1
0.1%
-336.08 1
0.1%
-316.15 1
0.1%
-278.2 1
0.1%
-246.01 1
0.1%
ValueCountFrequency (%)
99.85 1
0.1%
44.7 1
0.1%
41.2 1
0.1%
39.59 1
0.1%
36.17 1
0.1%
34.76 1
0.1%
33.78 1
0.1%
33.53 1
0.1%
33.09 1
0.1%
32.22 1
0.1%
Distinct848
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.99697
Minimum-1996.11
Maximum55.76
Zeros0
Zeros (%)0.0%
Negative206
Negative (%)20.6%
Memory size8.9 KiB
2023-12-12T20:26:21.548818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1996.11
5-th percentile-39.6445
Q10.9275
median4.605
Q39.1
95-th percentile21.1325
Maximum55.76
Range2051.87
Interquartile range (IQR)8.1725

Descriptive statistics

Standard deviation98.471772
Coefficient of variation (CV)-16.420254
Kurtosis283.30056
Mean-5.99697
Median Absolute Deviation (MAD)4.02
Skewness-15.666595
Sum-5996.97
Variance9696.6899
MonotonicityNot monotonic
2023-12-12T20:26:21.803917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.73 6
 
0.6%
4.76 5
 
0.5%
3.29 4
 
0.4%
2.77 4
 
0.4%
11.1 4
 
0.4%
6.55 3
 
0.3%
1.93 3
 
0.3%
7.63 3
 
0.3%
17.27 3
 
0.3%
5.35 3
 
0.3%
Other values (838) 962
96.2%
ValueCountFrequency (%)
-1996.11 1
0.1%
-1777.46 1
0.1%
-1005.83 1
0.1%
-531.13 1
0.1%
-503.27 1
0.1%
-380.03 1
0.1%
-352.9 1
0.1%
-350.07 1
0.1%
-256.48 1
0.1%
-238.59 1
0.1%
ValueCountFrequency (%)
55.76 1
0.1%
55.67 1
0.1%
45.33 1
0.1%
42.64 1
0.1%
41.67 1
0.1%
40.53 1
0.1%
36.39 1
0.1%
36.18 1
0.1%
35.1 1
0.1%
33.33 1
0.1%

2021년매출액영업이익률
Real number (ℝ)

MISSING 

Distinct765
Distinct (%)84.9%
Missing99
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean-7.1825971
Minimum-1706.59
Maximum49.28
Zeros0
Zeros (%)0.0%
Negative189
Negative (%)18.9%
Memory size8.9 KiB
2023-12-12T20:26:22.034975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1706.59
5-th percentile-37.92
Q10.75
median4.24
Q39.01
95-th percentile20.43
Maximum49.28
Range1755.87
Interquartile range (IQR)8.26

Descriptive statistics

Standard deviation88.703974
Coefficient of variation (CV)-12.349847
Kurtosis197.25279
Mean-7.1825971
Median Absolute Deviation (MAD)4.01
Skewness-12.526195
Sum-6471.52
Variance7868.3951
MonotonicityNot monotonic
2023-12-12T20:26:22.305858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.13 5
 
0.5%
2.54 5
 
0.5%
6.54 4
 
0.4%
0.23 4
 
0.4%
2.51 4
 
0.4%
5.31 3
 
0.3%
6.19 3
 
0.3%
2.3 3
 
0.3%
4.76 3
 
0.3%
1.32 3
 
0.3%
Other values (755) 864
86.4%
(Missing) 99
 
9.9%
ValueCountFrequency (%)
-1706.59 1
0.1%
-1192.28 1
0.1%
-776.8 1
0.1%
-700.57 1
0.1%
-527.59 1
0.1%
-414.44 1
0.1%
-411.98 1
0.1%
-380.15 1
0.1%
-331.37 1
0.1%
-330.78 1
0.1%
ValueCountFrequency (%)
49.28 1
0.1%
47.61 1
0.1%
45.12 1
0.1%
42.43 1
0.1%
41.35 1
0.1%
41.08 1
0.1%
37.59 1
0.1%
33.35 1
0.1%
32.92 2
0.2%
32.84 1
0.1%

3년 평균 매출액 증가율
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)88.8%
Missing616
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean0.060262812
Minimum-1
Maximum12.3372
Zeros0
Zeros (%)0.0%
Negative151
Negative (%)15.1%
Memory size8.9 KiB
2023-12-12T20:26:22.557136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.102325
median0.052075
Q30.2064075
95-th percentile0.6618325
Maximum12.3372
Range13.3372
Interquartile range (IQR)0.3087325

Descriptive statistics

Standard deviation0.89828207
Coefficient of variation (CV)14.906076
Kurtosis104.58591
Mean0.060262812
Median Absolute Deviation (MAD)0.154785
Skewness8.4080222
Sum23.14092
Variance0.80691068
MonotonicityNot monotonic
2023-12-12T20:26:22.791080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.0 44
 
4.4%
0.40383 1
 
0.1%
-0.1642 1
 
0.1%
0.35985 1
 
0.1%
1.29913 1
 
0.1%
0.09668 1
 
0.1%
0.05445 1
 
0.1%
-0.02582 1
 
0.1%
1.19837 1
 
0.1%
0.03954 1
 
0.1%
Other values (331) 331
33.1%
(Missing) 616
61.6%
ValueCountFrequency (%)
-1.0 44
4.4%
-0.90168 1
 
0.1%
-0.88425 1
 
0.1%
-0.50256 1
 
0.1%
-0.47687 1
 
0.1%
-0.46656 1
 
0.1%
-0.43396 1
 
0.1%
-0.43207 1
 
0.1%
-0.40218 1
 
0.1%
-0.38537 1
 
0.1%
ValueCountFrequency (%)
12.3372 1
0.1%
7.72391 1
0.1%
3.38239 1
0.1%
2.64447 1
0.1%
1.69122 1
0.1%
1.41908 1
0.1%
1.33746 1
0.1%
1.30851 1
0.1%
1.29913 1
0.1%
1.19837 1
0.1%

2017년연구개발비
Real number (ℝ)

MISSING  SKEWED 

Distinct684
Distinct (%)100.0%
Missing316
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean6500433.9
Minimum4
Maximum2.2445228 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:22.994193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9879.3
Q183855.5
median235844.5
Q3606804.75
95-th percentile4989675.9
Maximum2.2445228 × 109
Range2.2445228 × 109
Interquartile range (IQR)522949.25

Descriptive statistics

Standard deviation91393841
Coefficient of variation (CV)14.059652
Kurtosis534.26934
Mean6500433.9
Median Absolute Deviation (MAD)193424.5
Skewness22.370587
Sum4.4462968 × 109
Variance8.3528341 × 1015
MonotonicityNot monotonic
2023-12-12T20:26:23.230704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10268 1
 
0.1%
1091803 1
 
0.1%
546798 1
 
0.1%
436244 1
 
0.1%
294201 1
 
0.1%
43594 1
 
0.1%
406628 1
 
0.1%
2234823 1
 
0.1%
21285 1
 
0.1%
34717 1
 
0.1%
Other values (674) 674
67.4%
(Missing) 316
31.6%
ValueCountFrequency (%)
4 1
0.1%
40 1
0.1%
301 1
0.1%
411 1
0.1%
452 1
0.1%
891 1
0.1%
932 1
0.1%
1244 1
0.1%
1680 1
0.1%
1751 1
0.1%
ValueCountFrequency (%)
2244522800 1
0.1%
736105019 1
0.1%
293900113 1
0.1%
193121302 1
0.1%
115220539 1
0.1%
66539156 1
0.1%
53922035 1
0.1%
53593242 1
0.1%
35004145 1
0.1%
33695434 1
0.1%

2018년연구개발비
Real number (ℝ)

MISSING 

Distinct757
Distinct (%)99.9%
Missing242
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean8783909.4
Minimum70
Maximum2.5621074 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:23.539703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile8684.4
Q174023.5
median233926
Q3617516.25
95-th percentile5687159.5
Maximum2.5621074 × 109
Range2.5621073 × 109
Interquartile range (IQR)543492.75

Descriptive statistics

Standard deviation1.2182031 × 108
Coefficient of variation (CV)13.868576
Kurtosis350.35074
Mean8783909.4
Median Absolute Deviation (MAD)195876
Skewness18.320647
Sum6.6582033 × 109
Variance1.4840189 × 1016
MonotonicityNot monotonic
2023-12-12T20:26:23.835654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2402 2
 
0.2%
9252647 1
 
0.1%
13779 1
 
0.1%
625623 1
 
0.1%
136717 1
 
0.1%
220726 1
 
0.1%
413055 1
 
0.1%
740809 1
 
0.1%
210164 1
 
0.1%
266475 1
 
0.1%
Other values (747) 747
74.7%
(Missing) 242
 
24.2%
ValueCountFrequency (%)
70 1
0.1%
90 1
0.1%
97 1
0.1%
115 1
0.1%
387 1
0.1%
436 1
0.1%
449 1
0.1%
519 1
0.1%
600 1
0.1%
725 1
0.1%
ValueCountFrequency (%)
2562107416 1
0.1%
1993174074 1
0.1%
820358480 1
0.1%
222754546 1
0.1%
120754540 1
0.1%
74210684 1
0.1%
53668824 1
0.1%
51773758 1
0.1%
34552544 1
0.1%
23917588 1
0.1%

2019년연구개발비
Real number (ℝ)

MISSING  SKEWED 

Distinct775
Distinct (%)99.9%
Missing224
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean6956049.2
Minimum8
Maximum2.6413093 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:24.078961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8092.25
Q182038.25
median227688
Q3664434.75
95-th percentile6010207.2
Maximum2.6413093 × 109
Range2.6413093 × 109
Interquartile range (IQR)582396.5

Descriptive statistics

Standard deviation1.0266681 × 108
Coefficient of variation (CV)14.759357
Kurtosis571.31169
Mean6956049.2
Median Absolute Deviation (MAD)184646
Skewness23.059586
Sum5.3978942 × 109
Variance1.0540475 × 1016
MonotonicityNot monotonic
2023-12-12T20:26:24.419270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000 2
 
0.2%
162007 1
 
0.1%
155176 1
 
0.1%
118308 1
 
0.1%
5758 1
 
0.1%
9797116 1
 
0.1%
1658400 1
 
0.1%
48073 1
 
0.1%
270819 1
 
0.1%
106393 1
 
0.1%
Other values (765) 765
76.5%
(Missing) 224
 
22.4%
ValueCountFrequency (%)
8 1
0.1%
42 1
0.1%
126 1
0.1%
171 1
0.1%
176 1
0.1%
212 1
0.1%
576 1
0.1%
681 1
0.1%
833 1
0.1%
1301 1
0.1%
ValueCountFrequency (%)
2641309313 1
0.1%
966755129 1
0.1%
502169551 1
0.1%
104189075 1
0.1%
89484753 1
0.1%
80413012 1
0.1%
53146041 1
0.1%
51751357 1
0.1%
48601479 1
0.1%
40826667 1
0.1%

2020년연구개발비
Real number (ℝ)

MISSING  SKEWED 

Distinct778
Distinct (%)99.9%
Missing221
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean7396023.4
Minimum49
Maximum2.7835737 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:24.744156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile10711.7
Q188320.5
median238311
Q3703368
95-th percentile6742154.4
Maximum2.7835737 × 109
Range2.7835736 × 109
Interquartile range (IQR)615047.5

Descriptive statistics

Standard deviation1.0772179 × 108
Coefficient of variation (CV)14.564825
Kurtosis579.16295
Mean7396023.4
Median Absolute Deviation (MAD)194180
Skewness23.235042
Sum5.7615022 × 109
Variance1.1603984 × 1016
MonotonicityNot monotonic
2023-12-12T20:26:25.007079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30106 2
 
0.2%
16002 1
 
0.1%
264117 1
 
0.1%
789034 1
 
0.1%
139051 1
 
0.1%
137463 1
 
0.1%
4801 1
 
0.1%
8605441 1
 
0.1%
1240417 1
 
0.1%
13996 1
 
0.1%
Other values (768) 768
76.8%
(Missing) 221
 
22.1%
ValueCountFrequency (%)
49 1
0.1%
176 1
0.1%
235 1
0.1%
267 1
0.1%
420 1
0.1%
801 1
0.1%
1054 1
0.1%
1199 1
0.1%
1311 1
0.1%
1373 1
0.1%
ValueCountFrequency (%)
2783573697 1
0.1%
1030403830 1
0.1%
389538595 1
0.1%
224297535 1
0.1%
157740782 1
0.1%
115443871 1
0.1%
79611198 1
0.1%
58004562 1
0.1%
44383922 1
0.1%
27271993 1
0.1%

2021년연구개발비
Real number (ℝ)

MISSING  SKEWED 

Distinct660
Distinct (%)99.7%
Missing338
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean9532345.1
Minimum91
Maximum3.5013718 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:25.264003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile11661.9
Q1110018.75
median283682
Q3848768.25
95-th percentile8866445.6
Maximum3.5013718 × 109
Range3.5013717 × 109
Interquartile range (IQR)738749.5

Descriptive statistics

Standard deviation1.4386465 × 108
Coefficient of variation (CV)15.092262
Kurtosis533.22796
Mean9532345.1
Median Absolute Deviation (MAD)227513
Skewness22.495687
Sum6.3104124 × 109
Variance2.0697038 × 1016
MonotonicityNot monotonic
2023-12-12T20:26:25.554521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4265 2
 
0.2%
4800 2
 
0.2%
5761 1
 
0.1%
572399 1
 
0.1%
30486 1
 
0.1%
36695 1
 
0.1%
538264 1
 
0.1%
185806 1
 
0.1%
1618976 1
 
0.1%
125871 1
 
0.1%
Other values (650) 650
65.0%
(Missing) 338
33.8%
ValueCountFrequency (%)
91 1
0.1%
135 1
0.1%
154 1
0.1%
268 1
0.1%
424 1
0.1%
894 1
0.1%
1125 1
0.1%
2530 1
0.1%
3601 1
0.1%
3670 1
0.1%
ValueCountFrequency (%)
3501371780 1
0.1%
1166929293 1
0.1%
229891118 1
0.1%
131792585 1
0.1%
126843395 1
0.1%
120612848 1
0.1%
70741157 1
0.1%
62726181 1
0.1%
30966648 1
0.1%
29945723 1
0.1%

2017년연구개발비중
Real number (ℝ)

MISSING  SKEWED 

Distinct501
Distinct (%)73.2%
Missing316
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean57.726462
Minimum0
Maximum23301.68
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:25.826158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1915
Q11.09
median2.925
Q36.41
95-th percentile28.783
Maximum23301.68
Range23301.68
Interquartile range (IQR)5.32

Descriptive statistics

Standard deviation950.64727
Coefficient of variation (CV)16.468137
Kurtosis534.47296
Mean57.726462
Median Absolute Deviation (MAD)2.145
Skewness22.529127
Sum39484.9
Variance903730.24
MonotonicityNot monotonic
2023-12-12T20:26:26.044235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.78 6
 
0.6%
0.65 5
 
0.5%
0.0 5
 
0.5%
0.07 5
 
0.5%
2.15 5
 
0.5%
0.01 5
 
0.5%
0.21 4
 
0.4%
0.48 4
 
0.4%
0.34 4
 
0.4%
0.37 4
 
0.4%
Other values (491) 637
63.7%
(Missing) 316
31.6%
ValueCountFrequency (%)
0.0 5
0.5%
0.01 5
0.5%
0.02 3
0.3%
0.03 2
 
0.2%
0.04 2
 
0.2%
0.06 2
 
0.2%
0.07 5
0.5%
0.09 1
 
0.1%
0.1 1
 
0.1%
0.15 2
 
0.2%
ValueCountFrequency (%)
23301.68 1
0.1%
8588.03 1
0.1%
1163.97 1
0.1%
985.41 1
0.1%
340.82 1
0.1%
310.93 1
0.1%
289.76 1
0.1%
179.48 1
0.1%
149.46 1
0.1%
137.86 1
0.1%

2018년연구개발비중
Real number (ℝ)

MISSING 

Distinct527
Distinct (%)69.5%
Missing242
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean12.80781
Minimum0
Maximum1498.67
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:26.261085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09
Q11.1225
median2.985
Q36.4925
95-th percentile33.9145
Maximum1498.67
Range1498.67
Interquartile range (IQR)5.37

Descriptive statistics

Standard deviation68.154642
Coefficient of variation (CV)5.3213346
Kurtosis312.82244
Mean12.80781
Median Absolute Deviation (MAD)2.275
Skewness15.883021
Sum9708.32
Variance4645.0553
MonotonicityNot monotonic
2023-12-12T20:26:26.501840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02 7
 
0.7%
0.48 7
 
0.7%
0.03 6
 
0.6%
0.15 6
 
0.6%
0.09 5
 
0.5%
0.0 5
 
0.5%
3.0 5
 
0.5%
0.8 4
 
0.4%
0.01 4
 
0.4%
1.77 4
 
0.4%
Other values (517) 705
70.5%
(Missing) 242
 
24.2%
ValueCountFrequency (%)
0.0 5
0.5%
0.01 4
0.4%
0.02 7
0.7%
0.03 6
0.6%
0.04 2
 
0.2%
0.05 3
0.3%
0.06 4
0.4%
0.07 4
0.4%
0.08 1
 
0.1%
0.09 5
0.5%
ValueCountFrequency (%)
1498.67 1
0.1%
595.62 1
0.1%
478.81 1
0.1%
451.25 1
0.1%
429.55 1
0.1%
296.72 1
0.1%
267.41 1
0.1%
203.19 1
0.1%
196.05 1
0.1%
138.67 1
0.1%

2019년연구개발비중
Real number (ℝ)

MISSING 

Distinct537
Distinct (%)69.2%
Missing224
Missing (%)22.4%
Infinite0
Infinite (%)0.0%
Mean12.542397
Minimum0
Maximum1169.16
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:26.754870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11
Q11.04
median2.875
Q36.5925
95-th percentile30.345
Maximum1169.16
Range1169.16
Interquartile range (IQR)5.5525

Descriptive statistics

Standard deviation69.074247
Coefficient of variation (CV)5.5072605
Kurtosis195.89941
Mean12.542397
Median Absolute Deviation (MAD)2.185
Skewness13.261355
Sum9732.9
Variance4771.2515
MonotonicityNot monotonic
2023-12-12T20:26:27.626178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02 6
 
0.6%
0.03 6
 
0.6%
1.86 6
 
0.6%
0.99 5
 
0.5%
0.0 5
 
0.5%
0.93 5
 
0.5%
0.15 5
 
0.5%
1.99 5
 
0.5%
0.14 5
 
0.5%
0.07 4
 
0.4%
Other values (527) 724
72.4%
(Missing) 224
 
22.4%
ValueCountFrequency (%)
0.0 5
0.5%
0.01 3
0.3%
0.02 6
0.6%
0.03 6
0.6%
0.04 3
0.3%
0.05 2
 
0.2%
0.06 1
 
0.1%
0.07 4
0.4%
0.08 4
0.4%
0.09 2
 
0.2%
ValueCountFrequency (%)
1169.16 1
0.1%
1093.69 1
0.1%
673.99 1
0.1%
558.26 1
0.1%
468.78 1
0.1%
188.05 1
0.1%
175.12 1
0.1%
171.09 1
0.1%
123.23 1
0.1%
113.26 1
0.1%

2020년연구개발비중
Real number (ℝ)

MISSING  SKEWED 

Distinct537
Distinct (%)68.9%
Missing221
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean12.466521
Minimum0
Maximum2201.89
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:27.941716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.099
Q11.09
median2.9
Q36.715
95-th percentile25.724
Maximum2201.89
Range2201.89
Interquartile range (IQR)5.625

Descriptive statistics

Standard deviation88.995173
Coefficient of variation (CV)7.1387336
Kurtosis480.70739
Mean12.466521
Median Absolute Deviation (MAD)2.24
Skewness20.475331
Sum9711.42
Variance7920.1409
MonotonicityNot monotonic
2023-12-12T20:26:28.210970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.93 6
 
0.6%
0.02 5
 
0.5%
0.01 5
 
0.5%
0.06 5
 
0.5%
0.05 5
 
0.5%
0.36 5
 
0.5%
0.0 4
 
0.4%
0.27 4
 
0.4%
0.18 4
 
0.4%
1.61 4
 
0.4%
Other values (527) 732
73.2%
(Missing) 221
 
22.1%
ValueCountFrequency (%)
0.0 4
0.4%
0.01 5
0.5%
0.02 5
0.5%
0.03 3
0.3%
0.04 4
0.4%
0.05 5
0.5%
0.06 5
0.5%
0.07 4
0.4%
0.08 2
 
0.2%
0.09 2
 
0.2%
ValueCountFrequency (%)
2201.89 1
0.1%
764.32 1
0.1%
574.09 1
0.1%
346.5 1
0.1%
306.15 1
0.1%
256.03 1
0.1%
227.26 1
0.1%
213.53 1
0.1%
173.04 1
0.1%
120.58 1
0.1%

2021년연구개발비중
Real number (ℝ)

MISSING  SKEWED 

Distinct472
Distinct (%)71.3%
Missing338
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean7.0809517
Minimum0
Maximum921.2
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:28.462424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.8925
median2.67
Q35.54
95-th percentile21.179
Maximum921.2
Range921.2
Interquartile range (IQR)4.6475

Descriptive statistics

Standard deviation37.830592
Coefficient of variation (CV)5.3425858
Kurtosis519.43915
Mean7.0809517
Median Absolute Deviation (MAD)2.015
Skewness21.798126
Sum4687.59
Variance1431.1537
MonotonicityNot monotonic
2023-12-12T20:26:28.722544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 7
 
0.7%
0.55 6
 
0.6%
0.3 5
 
0.5%
1.51 5
 
0.5%
0.04 5
 
0.5%
0.88 4
 
0.4%
0.06 4
 
0.4%
0.19 4
 
0.4%
0.78 4
 
0.4%
0.73 4
 
0.4%
Other values (462) 614
61.4%
(Missing) 338
33.8%
ValueCountFrequency (%)
0.0 4
0.4%
0.01 7
0.7%
0.02 2
 
0.2%
0.03 3
0.3%
0.04 5
0.5%
0.05 1
 
0.1%
0.06 4
0.4%
0.07 2
 
0.2%
0.08 3
0.3%
0.09 2
 
0.2%
ValueCountFrequency (%)
921.2 1
0.1%
227.29 1
0.1%
137.64 1
0.1%
62.43 1
0.1%
61.06 1
0.1%
56.08 1
0.1%
54.51 1
0.1%
47.66 1
0.1%
46.52 1
0.1%
45.07 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
831 
1
169 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 831
83.1%
1 169
 
16.9%

Length

2023-12-12T20:26:28.964776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:29.133578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 831
83.1%
1 169
 
16.9%

이노비즈인증여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing633
Missing (%)63.3%
Memory size2.1 KiB
True
367 
(Missing)
633 
ValueCountFrequency (%)
True 367
36.7%
(Missing) 633
63.3%
2023-12-12T20:26:29.302765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

2017년영업이익
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
996 
33804624895
 
1
7961664945
 
1
1435910298
 
1
9897600005
 
1

Length

Max length11
Median length4
Mean length4.025
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 996
99.6%
33804624895 1
 
0.1%
7961664945 1
 
0.1%
1435910298 1
 
0.1%
9897600005 1
 
0.1%

Length

2023-12-12T20:26:29.506990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:29.699022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 996
99.6%
33804624895 1
 
0.1%
7961664945 1
 
0.1%
1435910298 1
 
0.1%
9897600005 1
 
0.1%

2018년영업이익
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
998 
30762770654
 
1
11334720852
 
1

Length

Max length11
Median length4
Mean length4.014
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 998
99.8%
30762770654 1
 
0.1%
11334720852 1
 
0.1%

Length

2023-12-12T20:26:29.939605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:30.162814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 998
99.8%
30762770654 1
 
0.1%
11334720852 1
 
0.1%

2019년영업이익
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
999 
16305801125
 
1

Length

Max length11
Median length4
Mean length4.007
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 999
99.9%
16305801125 1
 
0.1%

Length

2023-12-12T20:26:30.398784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:30.584207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 999
99.9%
16305801125 1
 
0.1%

2020년영업이익
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
999 
26992725408
 
1

Length

Max length11
Median length4
Mean length4.007
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 999
99.9%
26992725408 1
 
0.1%

Length

2023-12-12T20:26:30.799015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:31.021419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 999
99.9%
26992725408 1
 
0.1%

2021년영업이익
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
997 
174319010782
 
1
30011596104
 
1
9178461271
 
1

Length

Max length12
Median length4
Mean length4.021
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 997
99.7%
174319010782 1
 
0.1%
30011596104 1
 
0.1%
9178461271 1
 
0.1%

Length

2023-12-12T20:26:31.276168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:31.524812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 997
99.7%
174319010782 1
 
0.1%
30011596104 1
 
0.1%
9178461271 1
 
0.1%

2017년당기순이익
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing990
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean5.8700869 × 108
Minimum-2.5014527 × 1010
Maximum1.7753506 × 1010
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)0.4%
Memory size8.9 KiB
2023-12-12T20:26:31.706956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.5014527 × 1010
5-th percentile-1.5986739 × 1010
Q1-3.6553454 × 109
median2.4886172 × 109
Q36.2113782 × 109
95-th percentile1.3465209 × 1010
Maximum1.7753506 × 1010
Range4.2768033 × 1010
Interquartile range (IQR)9.8667236 × 109

Descriptive statistics

Standard deviation1.1242933 × 1010
Coefficient of variation (CV)19.152924
Kurtosis2.8069255
Mean5.8700869 × 108
Median Absolute Deviation (MAD)5.463973 × 109
Skewness-1.0980375
Sum5.8700869 × 109
Variance1.2640354 × 1020
MonotonicityNot monotonic
2023-12-12T20:26:31.894221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-4952775413 1
 
0.1%
17753506055 1
 
0.1%
4915963731 1
 
0.1%
3941829390 1
 
0.1%
-2703989898 1
 
0.1%
1035404950 1
 
0.1%
8223956143 1
 
0.1%
-3972463948 1
 
0.1%
-25014527140 1
 
0.1%
6643183038 1
 
0.1%
(Missing) 990
99.0%
ValueCountFrequency (%)
-25014527140 1
0.1%
-4952775413 1
0.1%
-3972463948 1
0.1%
-2703989898 1
0.1%
1035404950 1
0.1%
3941829390 1
0.1%
4915963731 1
0.1%
6643183038 1
0.1%
8223956143 1
0.1%
17753506055 1
0.1%
ValueCountFrequency (%)
17753506055 1
0.1%
8223956143 1
0.1%
6643183038 1
0.1%
4915963731 1
0.1%
3941829390 1
0.1%
1035404950 1
0.1%
-2703989898 1
0.1%
-3972463948 1
0.1%
-4952775413 1
0.1%
-25014527140 1
0.1%

2018년당기순이익
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing988
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean4.8362432 × 109
Minimum-3.8963373 × 1010
Maximum4.1226241 × 1010
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)0.3%
Memory size8.9 KiB
2023-12-12T20:26:32.073839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.8963373 × 1010
5-th percentile-1.8144616 × 1010
Q17.2872182 × 108
median3.0527269 × 109
Q38.7944689 × 109
95-th percentile3.117386 × 1010
Maximum4.1226241 × 1010
Range8.0189614 × 1010
Interquartile range (IQR)8.065747 × 109

Descriptive statistics

Standard deviation1.8371535 × 1010
Coefficient of variation (CV)3.7987203
Kurtosis3.6369134
Mean4.8362432 × 109
Median Absolute Deviation (MAD)3.9823522 × 109
Skewness-0.5300474
Sum5.8034919 × 1010
Variance3.375133 × 1020
MonotonicityNot monotonic
2023-12-12T20:26:32.308198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8243727320 1
 
0.1%
2315022825 1
 
0.1%
41226240701 1
 
0.1%
1580125725 1
 
0.1%
22949184259 1
 
0.1%
1105275290 1
 
0.1%
3790431025 1
 
0.1%
10446693485 1
 
0.1%
-1111087324 1
 
0.1%
-400938589 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 988
98.8%
ValueCountFrequency (%)
-38963373048 1
0.1%
-1111087324 1
0.1%
-400938589 1
0.1%
1105275290 1
0.1%
1580125725 1
0.1%
2315022825 1
0.1%
3790431025 1
0.1%
6853617007 1
0.1%
8243727320 1
0.1%
10446693485 1
0.1%
ValueCountFrequency (%)
41226240701 1
0.1%
22949184259 1
0.1%
10446693485 1
0.1%
8243727320 1
0.1%
6853617007 1
0.1%
3790431025 1
0.1%
2315022825 1
0.1%
1580125725 1
0.1%
1105275290 1
0.1%
-400938589 1
0.1%

2019년당기순이익
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing989
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean7.1523842 × 109
Minimum-1.0644155 × 1010
Maximum3.1091671 × 1010
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)0.2%
Memory size8.9 KiB
2023-12-12T20:26:32.530307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.0644155 × 1010
5-th percentile-6.2221442 × 109
Q16.0503666 × 108
median3.5729135 × 109
Q31.0429687 × 1010
95-th percentile2.9598969 × 1010
Maximum3.1091671 × 1010
Range4.1735826 × 1010
Interquartile range (IQR)9.8246501 × 109

Descriptive statistics

Standard deviation1.2574088 × 1010
Coefficient of variation (CV)1.7580274
Kurtosis0.48335706
Mean7.1523842 × 109
Median Absolute Deviation (MAD)3.9187005 × 109
Skewness0.98600799
Sum7.8676226 × 1010
Variance1.5810768 × 1020
MonotonicityNot monotonic
2023-12-12T20:26:32.740523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
13367759542 1
 
0.1%
28106267557 1
 
0.1%
2007261571 1
 
0.1%
31091671181 1
 
0.1%
595313461 1
 
0.1%
614759851 1
 
0.1%
-1800133133 1
 
0.1%
3572913539 1
 
0.1%
4272953454 1
 
0.1%
-10644155311 1
 
0.1%
(Missing) 989
98.9%
ValueCountFrequency (%)
-10644155311 1
0.1%
-1800133133 1
0.1%
595313461 1
0.1%
614759851 1
0.1%
2007261571 1
0.1%
3572913539 1
0.1%
4272953454 1
0.1%
7491614015 1
0.1%
13367759542 1
0.1%
28106267557 1
0.1%
ValueCountFrequency (%)
31091671181 1
0.1%
28106267557 1
0.1%
13367759542 1
0.1%
7491614015 1
0.1%
4272953454 1
0.1%
3572913539 1
0.1%
2007261571 1
0.1%
614759851 1
0.1%
595313461 1
0.1%
-1800133133 1
0.1%

2020년당기순이익
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean6.8445343 × 109
Minimum-6.266107 × 1010
Maximum5.648619 × 1010
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)0.4%
Memory size8.9 KiB
2023-12-12T20:26:32.925275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.266107 × 1010
5-th percentile-2.9646686 × 1010
Q1-36635795
median5.8497366 × 109
Q31.4040744 × 1010
95-th percentile4.2477046 × 1010
Maximum5.648619 × 1010
Range1.1914726 × 1011
Interquartile range (IQR)1.407738 × 1010

Descriptive statistics

Standard deviation2.7045041 × 1010
Coefficient of variation (CV)3.951334
Kurtosis3.8202782
Mean6.8445343 × 109
Median Absolute Deviation (MAD)8.1910078 × 109
Skewness-0.96330735
Sum8.8978946 × 1010
Variance7.3143426 × 1020
MonotonicityNot monotonic
2023-12-12T20:26:33.091039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
14040744358 1
 
0.1%
56486189505 1
 
0.1%
33137617748 1
 
0.1%
5849736571 1
 
0.1%
-62661070422 1
 
0.1%
4281388540 1
 
0.1%
24999759087 1
 
0.1%
5837866939 1
 
0.1%
11736404500 1
 
0.1%
-4089686385 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
-62661070422 1
0.1%
-7637096089 1
0.1%
-4089686385 1
0.1%
-36635795 1
0.1%
4281388540 1
0.1%
5837866939 1
0.1%
5849736571 1
0.1%
7033726988 1
0.1%
11736404500 1
0.1%
14040744358 1
0.1%
ValueCountFrequency (%)
56486189505 1
0.1%
33137617748 1
0.1%
24999759087 1
0.1%
14040744358 1
0.1%
11736404500 1
0.1%
7033726988 1
0.1%
5849736571 1
0.1%
5837866939 1
0.1%
4281388540 1
0.1%
-36635795 1
0.1%

2021년당기순이익
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean7.8872775 × 109
Minimum-2.9152271 × 1010
Maximum5.2797681 × 1010
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)0.3%
Memory size8.9 KiB
2023-12-12T20:26:33.273418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.9152271 × 1010
5-th percentile-1.6504206 × 1010
Q13.9026648 × 109
median5.6819039 × 109
Q31.3707442 × 1010
95-th percentile3.6906604 × 1010
Maximum5.2797681 × 1010
Range8.1949952 × 1010
Interquartile range (IQR)9.8047775 × 109

Descriptive statistics

Standard deviation1.9161163 × 1010
Coefficient of variation (CV)2.429376
Kurtosis2.415506
Mean7.8872775 × 109
Median Absolute Deviation (MAD)8.0255384 × 109
Skewness0.54995478
Sum1.0253461 × 1011
Variance3.6715017 × 1020
MonotonicityNot monotonic
2023-12-12T20:26:33.449318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
13707442319 1
 
0.1%
52797680988 1
 
0.1%
-8072162307 1
 
0.1%
-29152270603 1
 
0.1%
4865850803 1
 
0.1%
26312551882 1
 
0.1%
4503538293 1
 
0.1%
17998487325 1
 
0.1%
9661987768 1
 
0.1%
3902664780 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
-29152270603 1
0.1%
-8072162307 1
0.1%
-7673644240 1
0.1%
3902664780 1
0.1%
4503538293 1
0.1%
4865850803 1
0.1%
5681903898 1
0.1%
8000577102 1
0.1%
9661987768 1
0.1%
13707442319 1
0.1%
ValueCountFrequency (%)
52797680988 1
0.1%
26312551882 1
0.1%
17998487325 1
0.1%
13707442319 1
0.1%
9661987768 1
0.1%
8000577102 1
0.1%
5681903898 1
0.1%
4865850803 1
0.1%
4503538293 1
0.1%
3902664780 1
0.1%

2017년유동자산
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing988
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean6.439098 × 1010
Minimum1.4960338 × 1010
Maximum2.1021838 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:33.672210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4960338 × 1010
5-th percentile1.6794721 × 1010
Q14.4852001 × 1010
median5.314309 × 1010
Q36.0450478 × 1010
95-th percentile1.5188135 × 1011
Maximum2.1021838 × 1011
Range1.9525804 × 1011
Interquartile range (IQR)1.5598477 × 1010

Descriptive statistics

Standard deviation5.1379472 × 1010
Coefficient of variation (CV)0.79792965
Kurtosis6.4969962
Mean6.439098 × 1010
Median Absolute Deviation (MAD)8.7052032 × 109
Skewness2.3477888
Sum7.7269175 × 1011
Variance2.6398501 × 1021
MonotonicityNot monotonic
2023-12-12T20:26:33.889499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
55207336121 1
 
0.1%
210218380069 1
 
0.1%
72736567682 1
 
0.1%
45266116687 1
 
0.1%
104151053991 1
 
0.1%
14960337757 1
 
0.1%
45605431420 1
 
0.1%
18295580151 1
 
0.1%
54028714759 1
 
0.1%
43609655906 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 988
98.8%
ValueCountFrequency (%)
14960337757 1
0.1%
18295580151 1
0.1%
43609655906 1
0.1%
45266116687 1
0.1%
45605431420 1
0.1%
52257464282 1
0.1%
54028714759 1
0.1%
55207336121 1
0.1%
56355115247 1
0.1%
72736567682 1
0.1%
ValueCountFrequency (%)
210218380069 1
0.1%
104151053991 1
0.1%
72736567682 1
0.1%
56355115247 1
0.1%
55207336121 1
0.1%
54028714759 1
0.1%
52257464282 1
0.1%
45605431420 1
0.1%
45266116687 1
0.1%
43609655906 1
0.1%

2018년유동자산
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean6.5497272 × 1010
Minimum4.6375775 × 109
Maximum2.5239452 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:34.112440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6375775 × 109
5-th percentile8.838717 × 109
Q12.3747377 × 1010
median5.9925324 × 1010
Q37.6520353 × 1010
95-th percentile1.5854878 × 1011
Maximum2.5239452 × 1011
Range2.4775694 × 1011
Interquartile range (IQR)5.2772975 × 1010

Descriptive statistics

Standard deviation6.3295279 × 1010
Coefficient of variation (CV)0.96638039
Kurtosis6.8294404
Mean6.5497272 × 1010
Median Absolute Deviation (MAD)2.3158323 × 1010
Skewness2.3208977
Sum8.5146454 × 1011
Variance4.0062924 × 1021
MonotonicityNot monotonic
2023-12-12T20:26:34.296344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
59925323872 1
 
0.1%
252394517884 1
 
0.1%
83083646432 1
 
0.1%
76520352679 1
 
0.1%
95984959787 1
 
0.1%
17409195875 1
 
0.1%
63975251246 1
 
0.1%
23747377482 1
 
0.1%
75313571116 1
 
0.1%
40275974359 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
4637577478 1
0.1%
11639476747 1
0.1%
17409195875 1
0.1%
23747377482 1
0.1%
40275974359 1
0.1%
46557312364 1
0.1%
59925323872 1
0.1%
63975251246 1
0.1%
75313571116 1
0.1%
76520352679 1
0.1%
ValueCountFrequency (%)
252394517884 1
0.1%
95984959787 1
0.1%
83083646432 1
0.1%
76520352679 1
0.1%
75313571116 1
0.1%
63975251246 1
0.1%
59925323872 1
0.1%
46557312364 1
0.1%
40275974359 1
0.1%
23747377482 1
0.1%

2019년유동자산
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean8.1282843 × 1010
Minimum7.1368001 × 109
Maximum2.5417894 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:34.520268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.1368001 × 109
5-th percentile1.1959402 × 1010
Q13.6626972 × 1010
median7.2451165 × 1010
Q31.0097991 × 1011
95-th percentile2.1778096 × 1011
Maximum2.5417894 × 1011
Range2.4704214 × 1011
Interquartile range (IQR)6.4352942 × 1010

Descriptive statistics

Standard deviation7.2484469 × 1010
Coefficient of variation (CV)0.89175607
Kurtosis1.7121107
Mean8.1282843 × 1010
Median Absolute Deviation (MAD)3.287836 × 1010
Skewness1.3996447
Sum1.056677 × 1012
Variance5.2539983 × 1021
MonotonicityNot monotonic
2023-12-12T20:26:34.711259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
72451165363 1
 
0.1%
254178941761 1
 
0.1%
94407511041 1
 
0.1%
104637523528 1
 
0.1%
193515638327 1
 
0.1%
16664934052 1
 
0.1%
79998622253 1
 
0.1%
15174470148 1
 
0.1%
100979913541 1
 
0.1%
41331663806 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
7136800136 1
0.1%
15174470148 1
0.1%
16664934052 1
0.1%
36626971809 1
0.1%
39572805844 1
0.1%
41331663806 1
0.1%
72451165363 1
0.1%
79998622253 1
0.1%
94407511041 1
0.1%
100979913541 1
0.1%
ValueCountFrequency (%)
254178941761 1
0.1%
193515638327 1
0.1%
104637523528 1
0.1%
100979913541 1
0.1%
94407511041 1
0.1%
79998622253 1
0.1%
72451165363 1
0.1%
41331663806 1
0.1%
39572805844 1
0.1%
36626971809 1
0.1%

2020년유동자산
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean9.6752843 × 1010
Minimum1.8786739 × 1010
Maximum2.3786683 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:34.879210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8786739 × 1010
5-th percentile2.0390274 × 1010
Q15.2122583 × 1010
median1.0006604 × 1011
Q31.1374339 × 1011
95-th percentile2.1440316 × 1011
Maximum2.3786683 × 1011
Range2.1908009 × 1011
Interquartile range (IQR)6.1620803 × 1010

Descriptive statistics

Standard deviation6.7029211 × 1010
Coefficient of variation (CV)0.69278803
Kurtosis0.18256985
Mean9.6752843 × 1010
Median Absolute Deviation (MAD)4.7943455 × 1010
Skewness0.91308923
Sum1.257787 × 1012
Variance4.4929152 × 1021
MonotonicityNot monotonic
2023-12-12T20:26:35.116739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
105396764456 1
 
0.1%
198760716144 1
 
0.1%
113743385732 1
 
0.1%
101216649984 1
 
0.1%
237866828900 1
 
0.1%
21459298008 1
 
0.1%
100066037766 1
 
0.1%
46996377188 1
 
0.1%
153998449213 1
 
0.1%
52122583009 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
18786738891 1
0.1%
21459298008 1
0.1%
46996377188 1
0.1%
52122583009 1
0.1%
53520487987 1
0.1%
53852643471 1
0.1%
100066037766 1
0.1%
101216649984 1
0.1%
105396764456 1
0.1%
113743385732 1
0.1%
ValueCountFrequency (%)
237866828900 1
0.1%
198760716144 1
0.1%
153998449213 1
0.1%
113743385732 1
0.1%
105396764456 1
0.1%
101216649984 1
0.1%
100066037766 1
0.1%
53852643471 1
0.1%
53520487987 1
0.1%
52122583009 1
0.1%

2021년유동자산
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing985
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean9.9200359 × 1010
Minimum1.0129063 × 1010
Maximum3.395713 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:35.314729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0129063 × 1010
5-th percentile1.1328501 × 1010
Q14.9819222 × 1010
median6.0486784 × 1010
Q31.2798154 × 1011
95-th percentile2.7342193 × 1011
Maximum3.395713 × 1011
Range3.2944224 × 1011
Interquartile range (IQR)7.8162321 × 1010

Descriptive statistics

Standard deviation9.0026255 × 1010
Coefficient of variation (CV)0.90751945
Kurtosis2.8563452
Mean9.9200359 × 1010
Median Absolute Deviation (MAD)4.8644238 × 1010
Skewness1.6875046
Sum1.4880054 × 1012
Variance8.1047267 × 1021
MonotonicityNot monotonic
2023-12-12T20:26:35.520857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
58830567677 1
 
0.1%
245072194624 1
 
0.1%
137372514280 1
 
0.1%
136711583536 1
 
0.1%
339571303357 1
 
0.1%
29874328407 1
 
0.1%
111653031847 1
 
0.1%
60486784378 1
 
0.1%
119251500967 1
 
0.1%
48203481656 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 985
98.5%
ValueCountFrequency (%)
10129062747 1
0.1%
11842546583 1
0.1%
29874328407 1
0.1%
48203481656 1
0.1%
51434961531 1
0.1%
56792102521 1
0.1%
58830567677 1
0.1%
60486784378 1
0.1%
70779421558 1
0.1%
111653031847 1
0.1%
ValueCountFrequency (%)
339571303357 1
0.1%
245072194624 1
0.1%
137372514280 1
0.1%
136711583536 1
0.1%
119251500967 1
0.1%
111653031847 1
0.1%
70779421558 1
0.1%
60486784378 1
0.1%
58830567677 1
0.1%
56792102521 1
0.1%

2017년비유동자산
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing988
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean1.1060566 × 1011
Minimum1.3358741 × 1010
Maximum5.179385 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:35.731627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3358741 × 1010
5-th percentile1.4313649 × 1010
Q12.2029064 × 1010
median4.0096789 × 1010
Q31.5872977 × 1011
95-th percentile3.4685893 × 1011
Maximum5.179385 × 1011
Range5.0457975 × 1011
Interquartile range (IQR)1.3670071 × 1011

Descriptive statistics

Standard deviation1.4697434 × 1011
Coefficient of variation (CV)1.3288138
Kurtosis5.4532188
Mean1.1060566 × 1011
Median Absolute Deviation (MAD)2.586995 × 1010
Skewness2.2261161
Sum1.327268 × 1012
Variance2.1601455 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:35.951576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
34550149706 1
 
0.1%
517938495912 1
 
0.1%
206884746307 1
 
0.1%
15094937548 1
 
0.1%
203970138944 1
 
0.1%
13358741059 1
 
0.1%
26193009130 1
 
0.1%
22093348445 1
 
0.1%
143649651035 1
 
0.1%
76055105336 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 988
98.8%
ValueCountFrequency (%)
13358741059 1
0.1%
15094937548 1
0.1%
21836208975 1
0.1%
22093348445 1
0.1%
26193009130 1
0.1%
34550149706 1
0.1%
45643428034 1
0.1%
76055105336 1
0.1%
143649651035 1
0.1%
203970138944 1
0.1%
ValueCountFrequency (%)
517938495912 1
0.1%
206884746307 1
0.1%
203970138944 1
0.1%
143649651035 1
0.1%
76055105336 1
0.1%
45643428034 1
0.1%
34550149706 1
0.1%
26193009130 1
0.1%
22093348445 1
0.1%
21836208975 1
0.1%

2018년비유동자산
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.1157422 × 1011
Minimum1.3552323 × 1010
Maximum5.6095471 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:36.149612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3552323 × 1010
5-th percentile1.8079224 × 1010
Q13.0865188 × 1010
median4.2345724 × 1010
Q31.6203434 × 1011
95-th percentile3.6359104 × 1011
Maximum5.6095471 × 1011
Range5.4740239 × 1011
Interquartile range (IQR)1.3116915 × 1011

Descriptive statistics

Standard deviation1.5266153 × 1011
Coefficient of variation (CV)1.3682509
Kurtosis6.5824665
Mean1.1157422 × 1011
Median Absolute Deviation (MAD)1.6249949 × 1010
Skewness2.4512299
Sum1.4504649 × 1012
Variance2.3305541 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:36.311125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
35228574353 1
 
0.1%
560954710879 1
 
0.1%
232015264002 1
 
0.1%
26095774421 1
 
0.1%
186006673001 1
 
0.1%
13552323303 1
 
0.1%
42345723811 1
 
0.1%
30865187762 1
 
0.1%
162034335237 1
 
0.1%
57417233793 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
13552323303 1
0.1%
21097158497 1
0.1%
26095774421 1
0.1%
30865187762 1
0.1%
33663012746 1
0.1%
35228574353 1
0.1%
42345723811 1
0.1%
49188886880 1
0.1%
57417233793 1
0.1%
162034335237 1
0.1%
ValueCountFrequency (%)
560954710879 1
0.1%
232015264002 1
0.1%
186006673001 1
0.1%
162034335237 1
0.1%
57417233793 1
0.1%
49188886880 1
0.1%
42345723811 1
0.1%
35228574353 1
0.1%
33663012746 1
0.1%
30865187762 1
0.1%

2019년비유동자산
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.2967312 × 1011
Minimum2.0713235 × 109
Maximum5.8576705 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:36.480522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0713235 × 109
5-th percentile8.5212061 × 109
Q13.741633 × 1010
median4.6322073 × 1010
Q31.6377658 × 1011
95-th percentile4.3118646 × 1011
Maximum5.8576705 × 1011
Range5.8369573 × 1011
Interquartile range (IQR)1.2636025 × 1011

Descriptive statistics

Standard deviation1.6982157 × 1011
Coefficient of variation (CV)1.3096128
Kurtosis3.6974095
Mean1.2967312 × 1011
Median Absolute Deviation (MAD)2.805171 × 1010
Skewness1.9540479
Sum1.6857506 × 1012
Variance2.8839367 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:36.672647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
38013829787 1
 
0.1%
585767052679 1
 
0.1%
264348813595 1
 
0.1%
37416329604 1
 
0.1%
328132735823 1
 
0.1%
12821127845 1
 
0.1%
74373782292 1
 
0.1%
46322072639 1
 
0.1%
163776576883 1
 
0.1%
61960088778 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
2071323510 1
0.1%
12821127845 1
0.1%
27029556312 1
0.1%
37416329604 1
0.1%
38013829787 1
0.1%
43717283142 1
0.1%
46322072639 1
0.1%
61960088778 1
0.1%
74373782292 1
0.1%
163776576883 1
0.1%
ValueCountFrequency (%)
585767052679 1
0.1%
328132735823 1
0.1%
264348813595 1
0.1%
163776576883 1
0.1%
74373782292 1
0.1%
61960088778 1
0.1%
46322072639 1
0.1%
43717283142 1
0.1%
38013829787 1
0.1%
37416329604 1
0.1%

2020년비유동자산
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.552827 × 1011
Minimum1.2294377 × 1010
Maximum5.8101779 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:36.884713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2294377 × 1010
5-th percentile1.5978978 × 1010
Q13.0101686 × 1010
median4.4995474 × 1010
Q32.0832423 × 1011
95-th percentile5.7070359 × 1011
Maximum5.8101779 × 1011
Range5.6872342 × 1011
Interquartile range (IQR)1.7822255 × 1011

Descriptive statistics

Standard deviation2.0224261 × 1011
Coefficient of variation (CV)1.3024156
Kurtosis1.2591774
Mean1.552827 × 1011
Median Absolute Deviation (MAD)2.6560095 × 1010
Skewness1.5780283
Sum2.0186751 × 1012
Variance4.0902075 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:37.156827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
34677950598 1
 
0.1%
581017794832 1
 
0.1%
286365800725 1
 
0.1%
39700352073 1
 
0.1%
563827458952 1
 
0.1%
12294376746 1
 
0.1%
115434774459 1
 
0.1%
18435379427 1
 
0.1%
208324232301 1
 
0.1%
55733328920 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
12294376746 1
0.1%
18435379427 1
0.1%
27766444611 1
0.1%
30101686494 1
0.1%
34677950598 1
0.1%
39700352073 1
0.1%
44995473949 1
0.1%
55733328920 1
0.1%
115434774459 1
0.1%
208324232301 1
0.1%
ValueCountFrequency (%)
581017794832 1
0.1%
563827458952 1
0.1%
286365800725 1
0.1%
208324232301 1
0.1%
115434774459 1
0.1%
55733328920 1
0.1%
44995473949 1
0.1%
39700352073 1
0.1%
34677950598 1
0.1%
30101686494 1
0.1%

2021년비유동자산
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing985
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean1.6751075 × 1011
Minimum1.1216646 × 1010
Maximum7.6528925 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:37.367012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1216646 × 1010
5-th percentile1.2060599 × 1010
Q13.5081757 × 1010
median5.4924646 × 1010
Q31.8610559 × 1011
95-th percentile6.5824004 × 1011
Maximum7.6528925 × 1011
Range7.5407261 × 1011
Interquartile range (IQR)1.5102383 × 1011

Descriptive statistics

Standard deviation2.3075822 × 1011
Coefficient of variation (CV)1.3775726
Kurtosis2.8378969
Mean1.6751075 × 1011
Median Absolute Deviation (MAD)4.2502352 × 1010
Skewness1.9059164
Sum2.5126613 × 1012
Variance5.3249355 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:37.596047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
75181356611 1
 
0.1%
612361802430 1
 
0.1%
325558829305 1
 
0.1%
41557792931 1
 
0.1%
765289250661 1
 
0.1%
11216645586 1
 
0.1%
142980014007 1
 
0.1%
16698473724 1
 
0.1%
229231156520 1
 
0.1%
54924645634 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 985
98.5%
ValueCountFrequency (%)
11216645586 1
0.1%
12422293397 1
0.1%
16698473724 1
0.1%
28605721512 1
0.1%
41557792931 1
0.1%
42896709603 1
0.1%
51133829034 1
0.1%
54924645634 1
0.1%
75181356611 1
0.1%
102602745605 1
0.1%
ValueCountFrequency (%)
765289250661 1
0.1%
612361802430 1
0.1%
325558829305 1
0.1%
229231156520 1
0.1%
142980014007 1
0.1%
102602745605 1
0.1%
75181356611 1
0.1%
54924645634 1
0.1%
51133829034 1
0.1%
42896709603 1
0.1%

2017년자산총계
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing988
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean1.7499664 × 1011
Minimum2.8319079 × 1010
Maximum7.2815688 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:37.836668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8319079 × 1010
5-th percentile3.4957496 × 1010
Q16.8939094 × 1010
median9.5878015 × 1010
Q32.181641 × 1011
95-th percentile4.9713725 × 1011
Maximum7.2815688 × 1011
Range6.998378 × 1011
Interquartile range (IQR)1.4922501 × 1011

Descriptive statistics

Standard deviation1.9642981 × 1011
Coefficient of variation (CV)1.1224776
Kurtosis6.0569701
Mean1.7499664 × 1011
Median Absolute Deviation (MAD)4.5503023 × 1010
Skewness2.337078
Sum2.0999597 × 1012
Variance3.858467 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:38.044972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
89757485827 1
 
0.1%
728156875981 1
 
0.1%
279621313989 1
 
0.1%
60361054235 1
 
0.1%
308121192935 1
 
0.1%
28319078816 1
 
0.1%
71798440550 1
 
0.1%
40388928596 1
 
0.1%
197678365794 1
 
0.1%
119664761242 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 988
98.8%
ValueCountFrequency (%)
28319078816 1
0.1%
40388928596 1
0.1%
60361054235 1
0.1%
71798440550 1
0.1%
74093673257 1
0.1%
89757485827 1
0.1%
101998543281 1
0.1%
119664761242 1
0.1%
197678365794 1
0.1%
279621313989 1
0.1%
ValueCountFrequency (%)
728156875981 1
0.1%
308121192935 1
0.1%
279621313989 1
0.1%
197678365794 1
0.1%
119664761242 1
0.1%
101998543281 1
0.1%
89757485827 1
0.1%
74093673257 1
0.1%
71798440550 1
0.1%
60361054235 1
0.1%

2018년자산총계
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.7707149 × 1011
Minimum2.5734736 × 1010
Maximum8.1334923 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:38.261716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5734736 × 1010
5-th percentile2.8870806 × 1010
Q16.0828364 × 1010
median9.7693208 × 1010
Q32.3734791 × 1011
95-th percentile5.1439904 × 1011
Maximum8.1334923 × 1011
Range7.8761449 × 1011
Interquartile range (IQR)1.7651954 × 1011

Descriptive statistics

Standard deviation2.1296377 × 1011
Coefficient of variation (CV)1.2026993
Kurtosis7.2009579
Mean1.7707149 × 1011
Median Absolute Deviation (MAD)4.3080643 × 1010
Skewness2.5377386
Sum2.3019294 × 1012
Variance4.5353566 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:38.475918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
95153898225 1
 
0.1%
813349228763 1
 
0.1%
315098910434 1
 
0.1%
102616127100 1
 
0.1%
281991632788 1
 
0.1%
30961519178 1
 
0.1%
106320975057 1
 
0.1%
54612565244 1
 
0.1%
237347906353 1
 
0.1%
97693208152 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
25734735975 1
0.1%
30961519178 1
0.1%
54612565244 1
0.1%
60828363627 1
0.1%
80220325110 1
0.1%
95153898225 1
0.1%
97693208152 1
0.1%
102616127100 1
0.1%
106320975057 1
0.1%
237347906353 1
0.1%
ValueCountFrequency (%)
813349228763 1
0.1%
315098910434 1
0.1%
281991632788 1
0.1%
237347906353 1
0.1%
106320975057 1
0.1%
102616127100 1
0.1%
97693208152 1
0.1%
95153898225 1
0.1%
80220325110 1
0.1%
60828363627 1
0.1%

2019년자산총계
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean2.1095596 × 1011
Minimum2.9486062 × 1010
Maximum8.3994599 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:38.682556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9486062 × 1010
5-th percentile3.2294239 × 1010
Q16.1496543 × 1010
median1.10465 × 1011
Q32.6475649 × 1011
95-th percentile6.4896742 × 1011
Maximum8.3994599 × 1011
Range8.1045993 × 1011
Interquartile range (IQR)2.0325995 × 1011

Descriptive statistics

Standard deviation2.3787815 × 1011
Coefficient of variation (CV)1.1276199
Kurtosis3.4059768
Mean2.1095596 × 1011
Median Absolute Deviation (MAD)7.17667 × 1010
Skewness1.8834126
Sum2.7424275 × 1012
Variance5.6586015 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:38.900937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
110464995150 1
 
0.1%
839945994440 1
 
0.1%
358756324636 1
 
0.1%
142053853132 1
 
0.1%
521648374150 1
 
0.1%
29486061897 1
 
0.1%
154372404545 1
 
0.1%
61496542787 1
 
0.1%
264756490424 1
 
0.1%
103291752584 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
29486061897 1
0.1%
34166356448 1
0.1%
38698295319 1
0.1%
61496542787 1
0.1%
83290088986 1
0.1%
103291752584 1
0.1%
110464995150 1
0.1%
142053853132 1
0.1%
154372404545 1
0.1%
264756490424 1
0.1%
ValueCountFrequency (%)
839945994440 1
0.1%
521648374150 1
0.1%
358756324636 1
0.1%
264756490424 1
0.1%
154372404545 1
0.1%
142053853132 1
0.1%
110464995150 1
0.1%
103291752584 1
0.1%
83290088986 1
0.1%
61496542787 1
0.1%

2020년자산총계
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean2.5203554 × 1011
Minimum3.3753675 × 1010
Maximum8.0169429 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:39.113641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3753675 × 1010
5-th percentile4.143338 × 1010
Q18.3622174 × 1010
median1.4007472 × 1011
Q33.6232268 × 1011
95-th percentile7.8854482 × 1011
Maximum8.0169429 × 1011
Range7.6794061 × 1011
Interquartile range (IQR)2.7870051 × 1011

Descriptive statistics

Standard deviation2.6429969 × 1011
Coefficient of variation (CV)1.0486604
Kurtosis1.0695619
Mean2.5203554 × 1011
Median Absolute Deviation (MAD)7.5426097 × 1010
Skewness1.4822462
Sum3.276462 × 1012
Variance6.9854328 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:39.805618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
140074715054 1
 
0.1%
779778510976 1
 
0.1%
400109186457 1
 
0.1%
140917002057 1
 
0.1%
801694287852 1
 
0.1%
33753674754 1
 
0.1%
215500812225 1
 
0.1%
65431756615 1
 
0.1%
362322681514 1
 
0.1%
107855911929 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
33753674754 1
0.1%
46553183502 1
0.1%
65431756615 1
0.1%
83622174481 1
0.1%
98848117420 1
0.1%
107855911929 1
0.1%
140074715054 1
0.1%
140917002057 1
0.1%
215500812225 1
0.1%
362322681514 1
0.1%
ValueCountFrequency (%)
801694287852 1
0.1%
779778510976 1
0.1%
400109186457 1
0.1%
362322681514 1
0.1%
215500812225 1
0.1%
140917002057 1
0.1%
140074715054 1
0.1%
107855911929 1
0.1%
98848117420 1
0.1%
83622174481 1
0.1%

2021년자산총계
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing985
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean2.6671111 × 1011
Minimum4.0448268 × 1010
Maximum1.1048606 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:40.003549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.0448268 × 1010
5-th percentile4.0898162 × 1010
Q18.8766693 × 1010
median1.1273181 × 1011
Q33.0155785 × 1011
95-th percentile9.3166196 × 1011
Maximum1.1048606 × 1012
Range1.0644123 × 1012
Interquartile range (IQR)2.1279116 × 1011

Descriptive statistics

Standard deviation3.1614931 × 1011
Coefficient of variation (CV)1.1853623
Kurtosis3.1343087
Mean2.6671111 × 1011
Median Absolute Deviation (MAD)6.5537568 × 1010
Skewness1.9477924
Sum4.0006667 × 1012
Variance9.9950383 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:40.198608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
134011924288 1
 
0.1%
857433997054 1
 
0.1%
462931343585 1
 
0.1%
178269376467 1
 
0.1%
1104860554018 1
 
0.1%
41090973993 1
 
0.1%
254633045854 1
 
0.1%
77185258102 1
 
0.1%
348482657487 1
 
0.1%
103128127290 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 985
98.5%
ValueCountFrequency (%)
40448268095 1
0.1%
41090973993 1
0.1%
77185258102 1
0.1%
83201714955 1
0.1%
94331671134 1
0.1%
103128127290 1
0.1%
107925931555 1
0.1%
112731808352 1
0.1%
134011924288 1
0.1%
178269376467 1
0.1%
ValueCountFrequency (%)
1104860554018 1
0.1%
857433997054 1
0.1%
462931343585 1
0.1%
348482657487 1
0.1%
254633045854 1
0.1%
178269376467 1
0.1%
134011924288 1
0.1%
112731808352 1
0.1%
107925931555 1
0.1%
103128127290 1
0.1%

2017년유동부채
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing988
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean6.5227033 × 1010
Minimum1.6100774 × 109
Maximum3.9323876 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:40.402866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6100774 × 109
5-th percentile2.2303097 × 109
Q18.6470863 × 109
median2.6296569 × 1010
Q36.7309654 × 1010
95-th percentile2.3537092 × 1011
Maximum3.9323876 × 1011
Range3.9162869 × 1011
Interquartile range (IQR)5.8662568 × 1010

Descriptive statistics

Standard deviation1.0937621 × 1011
Coefficient of variation (CV)1.6768539
Kurtosis8.7887489
Mean6.5227033 × 1010
Median Absolute Deviation (MAD)2.2405936 × 1010
Skewness2.8570321
Sum7.827244 × 1011
Variance1.1963155 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:40.629078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9848283801 1
 
0.1%
393238763927 1
 
0.1%
34614864972 1
 
0.1%
21175857631 1
 
0.1%
106206322326 1
 
0.1%
2737772485 1
 
0.1%
18659747783 1
 
0.1%
1610077379 1
 
0.1%
102638593449 1
 
0.1%
55533340806 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 988
98.8%
ValueCountFrequency (%)
1610077379 1
0.1%
2737772485 1
0.1%
5043493712 1
0.1%
9848283801 1
0.1%
18659747783 1
0.1%
21175857631 1
0.1%
31417279916 1
0.1%
34614864972 1
0.1%
55533340806 1
0.1%
102638593449 1
0.1%
ValueCountFrequency (%)
393238763927 1
0.1%
106206322326 1
0.1%
102638593449 1
0.1%
55533340806 1
0.1%
34614864972 1
0.1%
31417279916 1
0.1%
21175857631 1
0.1%
18659747783 1
0.1%
9848283801 1
0.1%
5043493712 1
0.1%

2018년유동부채
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean7.1895567 × 1010
Minimum1.941569 × 109
Maximum5.2065041 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:40.879228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.941569 × 109
5-th percentile3.4155911 × 109
Q15.7890324 × 109
median2.9844889 × 1010
Q34.0747789 × 1010
95-th percentile2.7490217 × 1011
Maximum5.2065041 × 1011
Range5.1870884 × 1011
Interquartile range (IQR)3.4958756 × 1010

Descriptive statistics

Standard deviation1.3968127 × 1011
Coefficient of variation (CV)1.9428356
Kurtosis10.8034
Mean7.1895567 × 1010
Median Absolute Deviation (MAD)2.4055857 × 1010
Skewness3.2052521
Sum9.3464237 × 1011
Variance1.9510857 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:41.116938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
9665262601 1
 
0.1%
520650408797 1
 
0.1%
31832549503 1
 
0.1%
38494016750 1
 
0.1%
111070018158 1
 
0.1%
4398272427 1
 
0.1%
26034091906 1
 
0.1%
4543902045 1
 
0.1%
109630569723 1
 
0.1%
40747788511 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
1941569035 1
0.1%
4398272427 1
0.1%
4543902045 1
0.1%
5789032405 1
0.1%
9665262601 1
0.1%
26034091906 1
0.1%
29844888940 1
0.1%
31832549503 1
0.1%
38494016750 1
0.1%
40747788511 1
0.1%
ValueCountFrequency (%)
520650408797 1
0.1%
111070018158 1
0.1%
109630569723 1
0.1%
40747788511 1
0.1%
38494016750 1
0.1%
31832549503 1
0.1%
29844888940 1
0.1%
26034091906 1
0.1%
9665262601 1
0.1%
5789032405 1
0.1%

2019년유동부채
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean7.8057159 × 1010
Minimum7.2501682 × 108
Maximum5.5174242 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:41.294336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2501682 × 108
5-th percentile1.9816118 × 109
Q13.9062309 × 109
median3.8861819 × 1010
Q37.7042201 × 1010
95-th percentile3.0418664 × 1011
Maximum5.5174242 × 1011
Range5.510174 × 1011
Interquartile range (IQR)7.313597 × 1010

Descriptive statistics

Standard deviation1.4828988 × 1011
Coefficient of variation (CV)1.8997601
Kurtosis10.482311
Mean7.8057159 × 1010
Median Absolute Deviation (MAD)3.5763429 × 1010
Skewness3.1422062
Sum1.0147431 × 1012
Variance2.1989887 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:41.482021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
14557238030 1
 
0.1%
551742415375 1
 
0.1%
49479636831 1
 
0.1%
86993688858 1
 
0.1%
139149464268 1
 
0.1%
2819341764 1
 
0.1%
38861818517 1
 
0.1%
7024584187 1
 
0.1%
77042201011 1
 
0.1%
39343039469 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
725016821 1
0.1%
2819341764 1
0.1%
3098389034 1
0.1%
3906230891 1
0.1%
7024584187 1
0.1%
14557238030 1
0.1%
38861818517 1
0.1%
39343039469 1
0.1%
49479636831 1
0.1%
77042201011 1
0.1%
ValueCountFrequency (%)
551742415375 1
0.1%
139149464268 1
0.1%
86993688858 1
0.1%
77042201011 1
0.1%
49479636831 1
0.1%
39343039469 1
0.1%
38861818517 1
0.1%
14557238030 1
0.1%
7024584187 1
0.1%
3906230891 1
0.1%

2020년유동부채
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean7.4627435 × 1010
Minimum1.40486 × 109
Maximum3.5007776 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:41.688856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.40486 × 109
5-th percentile1.8378101 × 109
Q11.3451541 × 1010
median5.6256023 × 1010
Q36.059821 × 1010
95-th percentile2.2926836 × 1011
Maximum3.5007776 × 1011
Range3.486729 × 1011
Interquartile range (IQR)4.7146669 × 1010

Descriptive statistics

Standard deviation9.4638419 × 1010
Coefficient of variation (CV)1.2681451
Kurtosis6.2097591
Mean7.4627435 × 1010
Median Absolute Deviation (MAD)4.2804482 × 1010
Skewness2.3298509
Sum9.7015665 × 1011
Variance8.9564303 × 1021
MonotonicityNot monotonic
2023-12-12T20:26:41.908261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
36879089468 1
 
0.1%
350077757661 1
 
0.1%
58779180365 1
 
0.1%
60598210302 1
 
0.1%
133295979217 1
 
0.1%
3387142589 1
 
0.1%
57761405328 1
 
0.1%
1404860014 1
 
0.1%
148728760242 1
 
0.1%
47410258490 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
1404860014 1
0.1%
2126443555 1
0.1%
3387142589 1
0.1%
13451541028 1
0.1%
36879089468 1
0.1%
47410258490 1
0.1%
56256023037 1
0.1%
57761405328 1
0.1%
58779180365 1
0.1%
60598210302 1
0.1%
ValueCountFrequency (%)
350077757661 1
0.1%
148728760242 1
0.1%
133295979217 1
0.1%
60598210302 1
0.1%
58779180365 1
0.1%
57761405328 1
0.1%
56256023037 1
0.1%
47410258490 1
0.1%
36879089468 1
0.1%
13451541028 1
0.1%

2021년유동부채
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing985
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean7.8140033 × 1010
Minimum2.1153382 × 109
Maximum3.4199522 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:42.118451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1153382 × 109
5-th percentile3.8963409 × 109
Q11.483676 × 1010
median3.816117 × 1010
Q38.5910272 × 1010
95-th percentile3.1214996 × 1011
Maximum3.4199522 × 1011
Range3.3987988 × 1011
Interquartile range (IQR)7.1073512 × 1010

Descriptive statistics

Standard deviation1.0436404 × 1011
Coefficient of variation (CV)1.3356027
Kurtosis3.0743078
Mean7.8140033 × 1010
Median Absolute Deviation (MAD)3.0609856 × 1010
Skewness1.9615722
Sum1.1721005 × 1012
Variance1.0891853 × 1022
MonotonicityNot monotonic
2023-12-12T20:26:42.340425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20457920197 1
 
0.1%
341995216105 1
 
0.1%
68771025257 1
 
0.1%
106486631838 1
 
0.1%
299359137187 1
 
0.1%
4659627700 1
 
0.1%
89442793466 1
 
0.1%
8301762636 1
 
0.1%
82377750336 1
 
0.1%
38161169549 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 985
98.5%
ValueCountFrequency (%)
2115338244 1
0.1%
4659627700 1
0.1%
8301762636 1
0.1%
14128060553 1
0.1%
15545459478 1
0.1%
17707910162 1
0.1%
20457920197 1
0.1%
38161169549 1
0.1%
62590698316 1
0.1%
68771025257 1
0.1%
ValueCountFrequency (%)
341995216105 1
0.1%
299359137187 1
0.1%
106486631838 1
0.1%
89442793466 1
0.1%
82377750336 1
0.1%
68771025257 1
0.1%
62590698316 1
0.1%
38161169549 1
0.1%
20457920197 1
0.1%
17707910162 1
0.1%

2017년자본금
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing988
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean1.4534661 × 1010
Minimum1.9043195 × 109
Maximum9.273984 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:42.566821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9043195 × 109
5-th percentile1.9665138 × 109
Q13.0029862 × 109
median9.0423175 × 109
Q31.1360131 × 1010
95-th percentile5.049896 × 1010
Maximum9.273984 × 1010
Range9.083552 × 1010
Interquartile range (IQR)8.3571449 × 109

Descriptive statistics

Standard deviation2.5068846 × 1010
Coefficient of variation (CV)1.7247631
Kurtosis10.931959
Mean1.4534661 × 1010
Median Absolute Deviation (MAD)5.5543325 × 109
Skewness3.2508643
Sum1.7441593 × 1011
Variance6.2844706 × 1020
MonotonicityNot monotonic
2023-12-12T20:26:42.800977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8729826500 1
 
0.1%
12173292000 1
 
0.1%
3152000000 1
 
0.1%
2555945000 1
 
0.1%
11089077500 1
 
0.1%
1904319500 1
 
0.1%
3823970000 1
 
0.1%
15938240000 1
 
0.1%
92739840000 1
 
0.1%
10937211500 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 988
98.8%
ValueCountFrequency (%)
1904319500 1
0.1%
2017400000 1
0.1%
2555945000 1
0.1%
3152000000 1
0.1%
3823970000 1
0.1%
8729826500 1
0.1%
9354808500 1
0.1%
10937211500 1
0.1%
11089077500 1
0.1%
12173292000 1
0.1%
ValueCountFrequency (%)
92739840000 1
0.1%
15938240000 1
0.1%
12173292000 1
0.1%
11089077500 1
0.1%
10937211500 1
0.1%
9354808500 1
0.1%
8729826500 1
0.1%
3823970000 1
0.1%
3152000000 1
0.1%
2555945000 1
0.1%

2018년자본금
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean8.4243163 × 109
Minimum2.0174 × 109
Maximum1.9747965 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:42.998965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0174 × 109
5-th percentile2.0515517 × 109
Q12.601 × 109
median8.7298265 × 109
Q31.1931176 × 1010
95-th percentile1.746213 × 1010
Maximum1.9747965 × 1010
Range1.7730565 × 1010
Interquartile range (IQR)9.3301755 × 109

Descriptive statistics

Standard deviation5.7125243 × 109
Coefficient of variation (CV)0.67809946
Kurtosis-0.56319289
Mean8.4243163 × 109
Median Absolute Deviation (MAD)4.2279565 × 109
Skewness0.53674685
Sum1.0951611 × 1011
Variance3.2632934 × 1019
MonotonicityNot monotonic
2023-12-12T20:26:43.222087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8729826500 1
 
0.1%
12173292000 1
 
0.1%
6304000000 1
 
0.1%
2555945000 1
 
0.1%
11586270500 1
 
0.1%
2074319500 1
 
0.1%
4501870000 1
 
0.1%
15938240000 1
 
0.1%
19747965000 1
 
0.1%
11931175500 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
2017400000 1
0.1%
2074319500 1
0.1%
2555945000 1
0.1%
2601000000 1
0.1%
4501870000 1
0.1%
6304000000 1
0.1%
8729826500 1
0.1%
9354808500 1
0.1%
11586270500 1
0.1%
11931175500 1
0.1%
ValueCountFrequency (%)
19747965000 1
0.1%
15938240000 1
0.1%
12173292000 1
0.1%
11931175500 1
0.1%
11586270500 1
0.1%
9354808500 1
0.1%
8729826500 1
0.1%
6304000000 1
0.1%
4501870000 1
0.1%
2601000000 1
0.1%

2019년자본금
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean8.7005607 × 109
Minimum1.4923612 × 109
Maximum2.9247965 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:43.494925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4923612 × 109
5-th percentile1.8073845 × 109
Q12.5738565 × 109
median6.304 × 109
Q31.1931176 × 1010
95-th percentile2.2386759 × 1010
Maximum2.9247965 × 1010
Range2.7755604 × 1010
Interquartile range (IQR)9.357319 × 109

Descriptive statistics

Standard deviation8.034958 × 109
Coefficient of variation (CV)0.92349887
Kurtosis2.5303792
Mean8.7005607 × 109
Median Absolute Deviation (MAD)4.2866 × 109
Skewness1.5237024
Sum1.1310729 × 1011
Variance6.456055 × 1019
MonotonicityNot monotonic
2023-12-12T20:26:43.706153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8729826500 1
 
0.1%
12173292000 1
 
0.1%
6304000000 1
 
0.1%
2573856500 1
 
0.1%
11629601000 1
 
0.1%
2074319500 1
 
0.1%
4501870000 1
 
0.1%
17812622500 1
 
0.1%
29247965000 1
 
0.1%
11931175500 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
1492361200 1
0.1%
2017400000 1
0.1%
2074319500 1
0.1%
2573856500 1
0.1%
2619000000 1
0.1%
4501870000 1
0.1%
6304000000 1
0.1%
8729826500 1
0.1%
11629601000 1
0.1%
11931175500 1
0.1%
ValueCountFrequency (%)
29247965000 1
0.1%
17812622500 1
0.1%
12173292000 1
0.1%
11931175500 1
0.1%
11629601000 1
0.1%
8729826500 1
0.1%
6304000000 1
0.1%
4501870000 1
0.1%
2619000000 1
0.1%
2573856500 1
0.1%

2020년자본금
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing987
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean9.3570605 × 109
Minimum1.5094489 × 109
Maximum2.9247965 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:43.925204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5094489 × 109
5-th percentile1.8142196 × 109
Q12.619 × 109
median6.304 × 109
Q31.1931176 × 1010
95-th percentile2.2722689 × 1010
Maximum2.9247965 × 1010
Range2.7738516 × 1010
Interquartile range (IQR)9.3121755 × 109

Descriptive statistics

Standard deviation8.2130801 × 109
Coefficient of variation (CV)0.87774147
Kurtosis1.5021367
Mean9.3570605 × 109
Median Absolute Deviation (MAD)4.2866 × 109
Skewness1.3022944
Sum1.2164179 × 1011
Variance6.7454684 × 1019
MonotonicityNot monotonic
2023-12-12T20:26:44.144852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8729826500 1
 
0.1%
17079214000 1
 
0.1%
6304000000 1
 
0.1%
5625460500 1
 
0.1%
11629601000 1
 
0.1%
2074319500 1
 
0.1%
4501870000 1
 
0.1%
18372505500 1
 
0.1%
29247965000 1
 
0.1%
11931175500 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 987
98.7%
ValueCountFrequency (%)
1509448900 1
0.1%
2017400000 1
0.1%
2074319500 1
0.1%
2619000000 1
0.1%
4501870000 1
0.1%
5625460500 1
0.1%
6304000000 1
0.1%
8729826500 1
0.1%
11629601000 1
0.1%
11931175500 1
0.1%
ValueCountFrequency (%)
29247965000 1
0.1%
18372505500 1
0.1%
17079214000 1
0.1%
11931175500 1
0.1%
11629601000 1
0.1%
8729826500 1
0.1%
6304000000 1
0.1%
5625460500 1
0.1%
4501870000 1
0.1%
2619000000 1
0.1%

2021년자본금
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing985
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean8.7058615 × 109
Minimum1.5160989 × 109
Maximum3.0086889 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T20:26:44.365196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5160989 × 109
5-th percentile1.8670097 × 109
Q13.2496678 × 109
median5.7416575 × 109
Q31.1780388 × 1010
95-th percentile2.1886821 × 1010
Maximum3.0086889 × 1010
Range2.857079 × 1010
Interquartile range (IQR)8.5307205 × 109

Descriptive statistics

Standard deviation7.9899882 × 109
Coefficient of variation (CV)0.91777111
Kurtosis2.491697
Mean8.7058615 × 109
Median Absolute Deviation (MAD)3.7119475 × 109
Skewness1.5853717
Sum1.3058792 × 1011
Variance6.3839912 × 1019
MonotonicityNot monotonic
2023-12-12T20:26:44.573990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8729826500 1
 
0.1%
17079214000 1
 
0.1%
6304000000 1
 
0.1%
5741657500 1
 
0.1%
11629601000 1
 
0.1%
4148639000 1
 
0.1%
4501870000 1
 
0.1%
18372505500 1
 
0.1%
30086889000 1
 
0.1%
11931175500 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 985
98.5%
ValueCountFrequency (%)
1516098900 1
0.1%
2017400000 1
0.1%
2029710000 1
0.1%
2718000000 1
0.1%
3781335500 1
0.1%
4148639000 1
0.1%
4501870000 1
0.1%
5741657500 1
0.1%
6304000000 1
0.1%
8729826500 1
0.1%
ValueCountFrequency (%)
30086889000 1
0.1%
18372505500 1
0.1%
17079214000 1
0.1%
11931175500 1
0.1%
11629601000 1
0.1%
8729826500 1
0.1%
6304000000 1
0.1%
5741657500 1
0.1%
4501870000 1
0.1%
4148639000 1
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
998 
-4844430858
 
1
9557235778
 
1

Length

Max length11
Median length4
Mean length4.013
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 998
99.8%
-4844430858 1
 
0.1%
9557235778 1
 
0.1%

Length

2023-12-12T20:26:44.816965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:45.014786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 998
99.8%
4844430858 1
 
0.1%
9557235778 1
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
999 
11487307678
 
1

Length

Max length11
Median length4
Mean length4.007
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 999
99.9%
11487307678 1
 
0.1%

Length

2023-12-12T20:26:45.226330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:45.430941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 999
99.9%
11487307678 1
 
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
999 
17014606885
 
1

Length

Max length11
Median length4
Mean length4.007
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 999
99.9%
17014606885 1
 
0.1%

Length

2023-12-12T20:26:45.617573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:45.834882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 999
99.9%
17014606885 1
 
0.1%

2020년법인세비용차감전순이익
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1000
Missing (%)100.0%
Memory size8.9 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
999 
9399174065
 
1

Length

Max length10
Median length4
Mean length4.006
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 999
99.9%
9399174065 1
 
0.1%

Length

2023-12-12T20:26:46.007779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:26:46.163316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 999
99.9%
9399174065 1
 
0.1%

Unnamed: 96
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1000
Missing (%)100.0%
Memory size8.9 KiB

Unnamed: 97
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1000
Missing (%)100.0%
Memory size8.9 KiB

Sample

기업명사업자등록번호법인등록번호대표자명KSIC 세부코드기업규모기업형태설립일기업공개구분홈페이지본사 우편번호본사 주소사업장 우편번호사업장 주소전화번호업종구분주제품명지역구분2017년이익잉여금2018년이익잉여금2019년이익잉여금2020년이익잉여금2021년이익잉여금2017년매출액2018년매출액2019년매출액2020년매출액2021년매출액2017년자본총계2018년자본총계2019년자본총계2020년자본총계2021년자본총계2017년부채총계2018년부채총계2019년부채총계2020년부채총계2021년부채총계2017년매출액영업이익률2018년매출액영업이익률2019년매출액영업이익률2020년매출액영업이익률2021년매출액영업이익률3년 평균 매출액 증가율2017년연구개발비2018년연구개발비2019년연구개발비2020년연구개발비2021년연구개발비2017년연구개발비중2018년연구개발비중2019년연구개발비중2020년연구개발비중2021년연구개발비중TP 수혜기업 여부이노비즈인증여부2017년영업이익2018년영업이익2019년영업이익2020년영업이익2021년영업이익2017년당기순이익2018년당기순이익2019년당기순이익2020년당기순이익2021년당기순이익2017년유동자산2018년유동자산2019년유동자산2020년유동자산2021년유동자산2017년비유동자산2018년비유동자산2019년비유동자산2020년비유동자산2021년비유동자산2017년자산총계2018년자산총계2019년자산총계2020년자산총계2021년자산총계2017년유동부채2018년유동부채2019년유동부채2020년유동부채2021년유동부채2017년자본금2018년자본금2019년자본금2020년자본금2021년자본금2017년법인세비용차감전순이익2018년법인세비용차감전순이익2019년법인세비용차감전순이익2020년법인세비용차감전순이익2021년법인세비용차감전순이익Unnamed: 96Unnamed: 97
0현대모비스10181164061101110215536정의선C30399대기업주식회사1977-06-25유가증권시장www.mobis.co.kr6141서울 강남구 테헤란로 203 (역삼동)27862충북 진천군 문백면 사양2길 95 (문덕리)02-2018-5114그 외 자동차용 신품 부품 제조업자동차 3대 핵심모듈인 샤시모듈, 칵핏모듈, 프론트엔드모듈충북 진천군197401000000002093030000000021993600000000228494000000002370810000000019417700000000205172000000002262470000000022954500000000273286000000002123290000000022406400000000234063000000002409130000000024578900000000412948000000047714000000006394000000000715018000000079973000000007.537.557.425.994.970.09905736105019820358480966755129103040383011669292933.794.04.274.494.270<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1엘지화학10781981391101112207995신학철C20111대기업주식회사2001-04-03유가증권시장www.lgchem.com7336서울 영등포구 여의대로 128 (여의도동)28441충북 청주시 흥덕구 백봉로 39 (송정동)02-3773-1114석유화학계 기초 화학물질 제조업ABS, PC, EP, PE, PP, 합성고무, 아크릴, 가소제, SAP, PVC, BPA, 특수수지충북 청주시131885000000001425560000000014111600000000138911000000001565830000000020880200000000233153000000002180960000000020830000000000204710000000001550550000000016549900000000164602000000001696350000000018784900000000564260000000071806700000001056690000000088866500000001214430000000010.988.382.865.3514.75<NA>193121302222754546894847532242975351317925850.920.960.411.080.640<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2에스케이하이닉스12681037251344110001387박정호, 이석희C26129대기업주식회사1949-10-15유가증권시장www.skhynix.com17336경기 이천시 부발읍 경충대로 2091 (아미리)28429충북 청주시 흥덕구 대신로 215 (향정동)031-5185-4114기타 반도체소자 제조업DRAM, NAND Flash, MCP 등충북 청주시257125000000004032610000000040687700000000442217000000005297690000000029718900000000403247000000002532080000000030525000000000415573000000003277190000000045660900000000460369000000004957430000000058737600000000115410000000001531970000000012132000000000144967000000002623490000000044.8951.037.8614.8929.320.28111224452280025621074162641309313278357369735013717807.556.3510.439.128.430<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3휴온스86387002701311110446029엄기안, 송수영C21210중견기업주식회사2016-05-03코스닥시장www.huons.com13449경기 성남시 수정구 창업로 17, A동 8층 (시흥동,판교 아이스퀘어)27159충북 제천시 바이오밸리로 100 (왕암동)02-854-4700완제 의약품 제조업뷰티·웰빙·기타충북 제천시490096250008840600500012212000000016479600000019041200000027801200000031339000000033312800000036624800000040360300000012734100000016666300000020060000000023863200000026635500000083998625000732743240008348280400015665800000014691300000013.9615.3114.414.210.820.1007118812249198112892455487125742139299457236.776.327.377.037.420<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4현대에너지솔루션11881220371101116265410박종환, 강철호C28909대기업주식회사2016-12-21유가증권시장www.hyundai-es.co.kr13591경기 성남시 분당구 분당로 55, 4층 (서현동,분당퍼스트타워)27711충북 음성군 소이면 소이로 313 (대장리)01-522-5001그 외 기타 전기장비 제조업태양광모듈 외충북 음성군-2032490000001326620000001561800000001644810000001536530000002597970000003476230000004466940000004190900000005595070000002210400000002375910000003180350000003309390000003201120000003440834300038803500000112328000000128234000000284917000000-8.774.114.982.711.12<NA>321031652188693448028303211620371651.241.50.770.720.360<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5씨제이제일제당10486095351101113748253손경식C10749대기업주식회사2007-09-04유가증권시장www.cj.co.kr4560서울 중구 동호로 330 (쌍림동)<NA>충북 음성군 금왕읍 무극로65번길 19 (내송리)02-6740-1114기타 식품 첨가물 제조업설탕, 밀가루, 식용유 등(식품사업), 아미노산 등(바이오사업), 운송, 하역, 건설 등(물류사업)충북 음성군235672000000032112800000003078600000000335639000000035827100000005267130000000604573000000058825300000005980830000000679607000000032602100000004761320000000463467000000049229900000005133510000000393940000000038282000000006042720000000461580000000054783100000004.814.873.464.84.49<NA>1573817856829884860147924629050118115650.30.090.830.410.170<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6동원시스템즈12381151631341110011712조점근C22232중견기업주식회사1980-05-10유가증권시장www.dongwonsystems.com31409충남 아산시 둔포면 아산밸리동로 100 (운용리)27809충북 진천군 광혜원면 용소2길 32-14 (회죽리)02-589-4903포장용 플라스틱 성형용기 제조업연포장재, 유리병, 공관, PET 등(상품및제품)충북 진천군1063460000001323240000001479190000001757570000001955360000004276320000005233090000005193720000005818430000007850690000003423390000003664730000003816600000004083410000006551390000003546580000003756760000003692050000004273010000007126340000007.397.516.888.847.74<NA>215355630854303550428410432242707770.50.590.680.710.540<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7씨제이헬스케어20186389141101115379692강석희, 윤상현C21210중견기업주식회사2014-04-01코스닥시장www.inno-n.com4551서울 중구 을지로 100, 에이동 6층, 7층, 8층 (을지로2가)28158충북 청주시 흥덕구 오송읍 오송생명2로 239 (만수리)02-6477-0000완제 의약품 제조업의약품(전문의약품, 일반의약품), 건강음료, 식품 외충북 청주시12663700000014957500000080942794000149390000000173631000000520516000000490700000000140612000000515289000000768267000000374415000000299697000000790668000000743445000000115132000000015244900000014537800000052866900000087164000000068637800000015.711.5399.8524.016.541.337461623489816513022213097512533891187034643.123.371.522.432.431<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8엘지전자10786140751101112487050배두용, 권봉석C28519대기업주식회사2002-04-01유가증권시장www.lge.co.kr7336서울 영등포구 여의대로 128 (여의도동)28431충북 청주시 흥덕구 2순환로971번길 93 (향정동)02-3777-1114기타 가정용 전기기기 제조업세탁기, 청소기, 냉장고, 에어컨, TV, 모니터 외충북 청주시5602970000000546071000000050061100000006018120000000494012000000031966500000000299820000000002865450000000024735800000000277780000000009544860000000936288000000088933300000009921730000000889026000000018614900000000185026000000001858160000000019778300000000207033000000002.191.630.585.231.61<NA>29390011319931740745021695513895385952298911180.926.651.751.570.830<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9코웨이30781060541101110626501이해선C29175대기업주식회사1989-05-02유가증권시장www.coway.co.kr32508충남 공주시 유구읍 유구마곡사로 136-23 (유구리)<NA>기타041-850-7800액체 여과기 제조업정수기, 온수기, 비데 등충북 음성군,청주시,충주시,옥천군,제천시,진천군,단양군10134100000009989950000009554680000001242300000000151502000000023205000000002395500000000253101000000025925500000002814650000000104313000000011290300000001083100000000138597000000016588600000001107260000000120285000000016100700000001325170000000158179000000020.6219.9215.5917.5716.05<NA>8794709900707471298596937656122212020.380.380.280.270.430<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
기업명사업자등록번호법인등록번호대표자명KSIC 세부코드기업규모기업형태설립일기업공개구분홈페이지본사 우편번호본사 주소사업장 우편번호사업장 주소전화번호업종구분주제품명지역구분2017년이익잉여금2018년이익잉여금2019년이익잉여금2020년이익잉여금2021년이익잉여금2017년매출액2018년매출액2019년매출액2020년매출액2021년매출액2017년자본총계2018년자본총계2019년자본총계2020년자본총계2021년자본총계2017년부채총계2018년부채총계2019년부채총계2020년부채총계2021년부채총계2017년매출액영업이익률2018년매출액영업이익률2019년매출액영업이익률2020년매출액영업이익률2021년매출액영업이익률3년 평균 매출액 증가율2017년연구개발비2018년연구개발비2019년연구개발비2020년연구개발비2021년연구개발비2017년연구개발비중2018년연구개발비중2019년연구개발비중2020년연구개발비중2021년연구개발비중TP 수혜기업 여부이노비즈인증여부2017년영업이익2018년영업이익2019년영업이익2020년영업이익2021년영업이익2017년당기순이익2018년당기순이익2019년당기순이익2020년당기순이익2021년당기순이익2017년유동자산2018년유동자산2019년유동자산2020년유동자산2021년유동자산2017년비유동자산2018년비유동자산2019년비유동자산2020년비유동자산2021년비유동자산2017년자산총계2018년자산총계2019년자산총계2020년자산총계2021년자산총계2017년유동부채2018년유동부채2019년유동부채2020년유동부채2021년유동부채2017년자본금2018년자본금2019년자본금2020년자본금2021년자본금2017년법인세비용차감전순이익2018년법인세비용차감전순이익2019년법인세비용차감전순이익2020년법인세비용차감전순이익2021년법인세비용차감전순이익Unnamed: 96Unnamed: 97
990영농조합법인산정푸드30381661951545710003951원창분C10749소상공인기타법인2012-05-07일반법인<NA>27734충북 음성군 맹동면 덕금로 36 (신돈리)<NA><NA>043-877-8822기타 식품 첨가물 제조업향료, 식품첨가물등충북 음성군3807950004318600004926160005520110006342050002064016000168184800021286710002038971000258539900010807950001131860000119261600012520110001334205000166422900013642600002184113000217883400020284670007.375.769.654.954.33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
991비제이바이오켐2358700252<NA>정국인C20499소상공인주식회사2015-11-25일반법인www.bjbiochem.com34025대전 유성구 테크노2로 199, 415호 (용산동,미건테크노월드1차)28104충북 청주시 청원구 오창읍 두릉유리로 51-3 (성재리)042-863-4078그 외 기타 분류 안된 화학제품 제조업바이오 합성제품,발효 화학추출물 등충북 청주시-51869000-90683000-58193000-552735000<NA>53593300087330200010109330001113733000<NA>981310005580670001357309000861989000<NA>16209700058270600035020790004020160000<NA>-4.3-1.654.01-41.14<NA><NA>9609439719206964185741<NA>17.934.5520.4716.68<NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
992에스앤비코리아21187824851101113467663윤찬준C20423소상공인주식회사2006-05-30일반법인www.skin-4u.com8590서울 금천구 가산디지털1로 84, 1504호 ,1505호 (가산동,에이스하이엔드타워8차)28413충북 청주시 흥덕구 서부로 1291, 3층 (가경동,홈플러스)02-3443-3447화장품 제조업피부관리프랜차이즈충북 청주시347041000351553000355180000356103000<NA>1147223000846788000612176000514290000<NA>577041000581553000585180000586103000<NA>1461425000146539800010865170001111638000<NA>10.365.06.88-8.01<NA>-1.03971<NA><NA><NA><NA>0.35<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
993생활연구소83787006831101116254041연현주J58221소기업주식회사2016-12-09일반법인www.cleaninglab.co.kr13487경기 성남시 분당구 판교로 242, C동 1002호 (삼평동,판교디지털센터)28555충북 청주시 서원구 사직대로 267-1, A동 301호 (사직동,늘보람빌딩)<NA>시스템 소프트웨어 개발 및 공급업가사도우미 O2O플랫폼충북 청주시-540794000-1754425000-6203604000-11733297000-19175053000530810002563570001351878000264712600051584820005092260001796035000735008400018203910001637887200016634000168026000483365000706811000971185000<NA>-489.16-336.08-210.33-147.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
994에이카4588700272<NA>김태균C26221소기업주식회사2015-12-07일반법인www.bestics.co.kr22762인천 서구 청라커낼로260번길 11, 808호, 809호, 810호, 811호, 812호 (청라동,진성프라자)<NA><NA>043-716-2345인쇄회로기판용 적층판 제조업인쇄회로기판용 적층판기타2620950003560050009065900013890100071161900078027560009393201000852179200073065720002957635000562095000656005000390659000438901000101161900022367900002927050000290178600025586470004998590003.961.3-2.250.7212.16<NA>2558682932378130<NA><NA>3.283.120.1<NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
995엔피에스1448600871<NA>배성호C29299소기업주식회사2017-12-08일반법인<NA>28371충북 청주시 흥덕구 서부로 735 (현암동)<NA><NA>043-715-6910그 외 기타 특수목적용 기계 제조업레이저 재단기, 검사기, 포장기충북 청주시-5006000-174520004789850005979870001457873000<NA>192174200047568010002008408000478864500019403400018158800067802500079798700016578730002640000101998300064791300012751850001890778000<NA>-2.434.77-6.922.24<NA><NA>4825451768495289895410<NA>0.259.524.6618.71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
996유진금속30381677391511110044861김낙준C24222중기업주식회사2012-11-01외감www.ujmetal.com27326충북 충주시 충주산단1로 115 (용탄동)<NA><NA>043-851-6061알루미늄 압연, 압출 및 연신제품 제조업알루미늄제품 외충북 충주시33462770004085316000512681800054897460005750709000259632800001607943400022565318000155160080002069865100047462770005485316000652681800068897460007150709000925734400010646706000101236890001110584800085822950007.957.697.194.151.91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
997태성이엔지3178132641<NA>송재준C29299소상공인주식회사2012-11-13일반법인<NA>28307충북 청주시 청원구 외남로104번길 53 (외남동)<NA><NA>043-217-6111그 외 기타 특수목적용 기계 제조업산업기계 제작 및 설치충북 청주시95419900010789080001457482000115603000090170300015634600002247423000211559000012344830001673902000115919900012839080001662482000136103000011067030002171500002277240001538300001541900002037740001.414.5117.71-21.52-15.69<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
998제이아이씨28886007491543110043436오천근C30399소기업주식회사2017-09-08외감<NA>27844충북 진천군 이월면 진광로 137 (사곡리)<NA><NA>043-534-8705그 외 자동차용 신품 부품 제조업공기조절장치 등충북 진천군-150733000-416160000-493446000-586736000-8638180001046427000550870500068419080002774679000504585800032486600059439000-17848000188862000-8822000012915000001222808000212151600013076320001541907000<NA>-4.54-0.31-2.2-4.96-0.14123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
999호서산업3038152880<NA>권선웅C25119소기업주식회사2008-11-12일반법인<NA>27721충북 음성군 원남면 원남산단로 274-5 (상당리)<NA><NA>043-882-3093기타 구조용 금속제품 제조업강구조물충북 음성군49263200010305100024504000019584700029418200036759180003463782000571938700053718560008713807000542632000153051000295040000245847000344182000213172800018729610002339604000253917600033132170001.6-9.653.671.531.950.23432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>