Overview

Dataset statistics

Number of variables18
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory154.4 B

Variable types

Categorical15
Numeric2
DateTime1

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://www.bigdata-region.kr/#/dataset/b5905fce-7a58-4a8a-93e1-6ed62d0dbc26

Alerts

STDR_YEAR has constant value ""Constant
CTPRVN_NM has constant value ""Constant
PRCSS_ENTRPRS_SE_CODE has constant value ""Constant
PRCSS_ENTRPRS_SE has constant value ""Constant
TOT_ENTRPRS_CO has constant value ""Constant
REGIST_DE has constant value ""Constant
OPERTOR_NM has constant value ""Constant
INDUTY_LCLAS_CODE is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
INDUTY_MLSFC_CODE is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
PDSMLPZ_SCTN_CODE is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
INDUTY_MLSFC_NM is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
PDSMLPZ_SCTN is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
SIGNGU_NM is highly overall correlated with ADSTRD_NM and 6 other fieldsHigh correlation
ADSTRD_NM is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
INDUTY_LCLAS_NM is highly overall correlated with SIGNGU_NM and 6 other fieldsHigh correlation
AVRG_AM is highly overall correlated with FSTLTN_AMHigh correlation
FSTLTN_AM is highly overall correlated with AVRG_AMHigh correlation
AVRG_AM has unique valuesUnique
FSTLTN_AM has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:25:23.852742
Analysis finished2023-12-10 14:25:25.379103
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STDR_YEAR
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 30
100.0%

Length

2023-12-10T23:25:25.439051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:25.522659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 30
100.0%

CTPRVN_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 30
100.0%

Length

2023-12-10T23:25:25.631413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:25.751920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 30
100.0%

SIGNGU_NM
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
고양시덕양구
13 
고양시일산동구
13 
고양시일산서구
4 

Length

Max length7
Median length7
Mean length6.5666667
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시덕양구 13
43.3%
고양시일산동구 13
43.3%
고양시일산서구 4
 
13.3%

Length

2023-12-10T23:25:25.868836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:25.990152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시덕양구 13
43.3%
고양시일산동구 13
43.3%
고양시일산서구 4
 
13.3%

ADSTRD_NM
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
고양동
13 
백석2동
13 
송포동
4 

Length

Max length4
Median length3
Mean length3.4333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양동 13
43.3%
백석2동 13
43.3%
송포동 4
 
13.3%

Length

2023-12-10T23:25:26.107039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:26.204083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양동 13
43.3%
백석2동 13
43.3%
송포동 4
 
13.3%

INDUTY_LCLAS_CODE
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
G
17 
F
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
G 17
56.7%
F 13
43.3%

Length

2023-12-10T23:25:26.301891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:26.399413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 17
56.7%
f 13
43.3%

INDUTY_MLSFC_CODE
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
G45
13 
F42
13 
G46
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowG45
2nd rowG45
3rd rowG45
4th rowG45
5th rowG45

Common Values

ValueCountFrequency (%)
G45 13
43.3%
F42 13
43.3%
G46 4
 
13.3%

Length

2023-12-10T23:25:26.497962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:26.587557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g45 13
43.3%
f42 13
43.3%
g46 4
 
13.3%

INDUTY_LCLAS_NM
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
도매 및 소매업
17 
건설업
13 

Length

Max length8
Median length8
Mean length5.8333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도매 및 소매업
2nd row도매 및 소매업
3rd row도매 및 소매업
4th row도매 및 소매업
5th row도매 및 소매업

Common Values

ValueCountFrequency (%)
도매 및 소매업 17
56.7%
건설업 13
43.3%

Length

2023-12-10T23:25:26.701557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:26.794559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도매 17
26.6%
및 17
26.6%
소매업 17
26.6%
건설업 13
20.3%

INDUTY_MLSFC_NM
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
자동차 및 부품 판매업
13 
전문직별 공사업
13 
도매 및 상품 중개업
4 

Length

Max length12
Median length11
Mean length10.133333
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자동차 및 부품 판매업
2nd row자동차 및 부품 판매업
3rd row자동차 및 부품 판매업
4th row자동차 및 부품 판매업
5th row자동차 및 부품 판매업

Common Values

ValueCountFrequency (%)
자동차 및 부품 판매업 13
43.3%
전문직별 공사업 13
43.3%
도매 및 상품 중개업 4
 
13.3%

Length

2023-12-10T23:25:26.899505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:27.007787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 17
18.1%
자동차 13
13.8%
부품 13
13.8%
판매업 13
13.8%
전문직별 13
13.8%
공사업 13
13.8%
도매 4
 
4.3%
상품 4
 
4.3%
중개업 4
 
4.3%

PRCSS_ENTRPRS_SE_CODE
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 30
100.0%

Length

2023-12-10T23:25:27.110374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:27.188529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
100.0%

PRCSS_ENTRPRS_SE
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
중기업
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중기업 30
100.0%

Length

2023-12-10T23:25:27.270917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:27.347210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중기업 30
100.0%

PDSMLPZ_SCTN_CODE
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
10
13 
2
13 
5
4 

Length

Max length2
Median length1
Mean length1.4333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 13
43.3%
2 13
43.3%
5 4
 
13.3%

Length

2023-12-10T23:25:27.432234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:27.516696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 13
43.3%
2 13
43.3%
5 4
 
13.3%

PDSMLPZ_SCTN
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
10년 이상 20년 미만
13 
2년 이상 5년 미만
13 
5년 이상 10년 미만
4 

Length

Max length13
Median length12
Mean length12
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10년 이상 20년 미만
2nd row10년 이상 20년 미만
3rd row10년 이상 20년 미만
4th row10년 이상 20년 미만
5th row10년 이상 20년 미만

Common Values

ValueCountFrequency (%)
10년 이상 20년 미만 13
43.3%
2년 이상 5년 미만 13
43.3%
5년 이상 10년 미만 4
 
13.3%

Length

2023-12-10T23:25:27.614180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:27.719658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이상 30
25.0%
미만 30
25.0%
10년 17
14.2%
5년 17
14.2%
20년 13
10.8%
2년 13
10.8%

IEM_NM
Categorical

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
ROE
3 
매출액증가율
3 
부채비율
3 
순이익율
3 
순이익증가율
2 
Other values (8)
16 

Length

Max length7
Median length6
Mean length5.2333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowROE
2nd row매출액증가율
3rd row부채비율
4th row순이익율
5th row순이익증가율

Common Values

ValueCountFrequency (%)
ROE 3
10.0%
매출액증가율 3
10.0%
부채비율 3
10.0%
순이익율 3
10.0%
순이익증가율 2
 
6.7%
영업이익율 2
 
6.7%
영업이익증가율 2
 
6.7%
유동비율 2
 
6.7%
자기자본비율 2
 
6.7%
재고자산회전율 2
 
6.7%
Other values (3) 6
20.0%

Length

2023-12-10T23:25:27.819172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
roe 3
10.0%
매출액증가율 3
10.0%
부채비율 3
10.0%
순이익율 3
10.0%
순이익증가율 2
 
6.7%
영업이익율 2
 
6.7%
영업이익증가율 2
 
6.7%
유동비율 2
 
6.7%
자기자본비율 2
 
6.7%
재고자산회전율 2
 
6.7%
Other values (3) 6
20.0%

TOT_ENTRPRS_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 30
100.0%

Length

2023-12-10T23:25:27.922442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:27.999154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
100.0%

AVRG_AM
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.482333
Minimum-886.88
Maximum3303.73
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)33.3%
Memory size402.0 B
2023-12-10T23:25:28.085526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-886.88
5-th percentile-442.859
Q1-7.705
median2.83
Q337.4925
95-th percentile281.829
Maximum3303.73
Range4190.61
Interquartile range (IQR)45.1975

Descriptive statistics

Standard deviation648.47132
Coefficient of variation (CV)8.3692797
Kurtosis22.928416
Mean77.482333
Median Absolute Deviation (MAD)31.805
Skewness4.3740099
Sum2324.47
Variance420515.06
MonotonicityNot monotonic
2023-12-10T23:25:28.211917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.72 1
 
3.3%
-4.09 1
 
3.3%
10.9 1
 
3.3%
87.83 1
 
3.3%
-44.66 1
 
3.3%
22.29 1
 
3.3%
0.45 1
 
3.3%
-0.06 1
 
3.3%
72.25 1
 
3.3%
336.99 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-886.88 1
3.3%
-646.7 1
3.3%
-193.72 1
3.3%
-128.27 1
3.3%
-55.8 1
3.3%
-47.61 1
3.3%
-44.66 1
3.3%
-8.91 1
3.3%
-4.09 1
3.3%
-0.06 1
3.3%
ValueCountFrequency (%)
3303.73 1
3.3%
336.99 1
3.3%
214.41 1
3.3%
126.25 1
3.3%
87.83 1
3.3%
72.25 1
3.3%
44.2 1
3.3%
40.35 1
3.3%
28.92 1
3.3%
22.29 1
3.3%

FSTLTN_AM
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.482333
Minimum-886.88
Maximum3303.73
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)33.3%
Memory size402.0 B
2023-12-10T23:25:28.323357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-886.88
5-th percentile-442.859
Q1-7.705
median2.83
Q337.4925
95-th percentile281.829
Maximum3303.73
Range4190.61
Interquartile range (IQR)45.1975

Descriptive statistics

Standard deviation648.47132
Coefficient of variation (CV)8.3692797
Kurtosis22.928416
Mean77.482333
Median Absolute Deviation (MAD)31.805
Skewness4.3740099
Sum2324.47
Variance420515.06
MonotonicityNot monotonic
2023-12-10T23:25:28.436114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.72 1
 
3.3%
-4.09 1
 
3.3%
10.9 1
 
3.3%
87.83 1
 
3.3%
-44.66 1
 
3.3%
22.29 1
 
3.3%
0.45 1
 
3.3%
-0.06 1
 
3.3%
72.25 1
 
3.3%
336.99 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-886.88 1
3.3%
-646.7 1
3.3%
-193.72 1
3.3%
-128.27 1
3.3%
-55.8 1
3.3%
-47.61 1
3.3%
-44.66 1
3.3%
-8.91 1
3.3%
-4.09 1
3.3%
-0.06 1
3.3%
ValueCountFrequency (%)
3303.73 1
3.3%
336.99 1
3.3%
214.41 1
3.3%
126.25 1
3.3%
87.83 1
3.3%
72.25 1
3.3%
44.2 1
3.3%
40.35 1
3.3%
28.92 1
3.3%
22.29 1
3.3%

REGIST_DE
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2020-10-19 00:00:00
Maximum2020-10-19 00:00:00
2023-12-10T23:25:28.548817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:25:28.646896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

OPERTOR_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
KEDSYS
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KEDSYS 30
100.0%

Length

2023-12-10T23:25:28.749185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:28.845558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kedsys 30
100.0%

Interactions

2023-12-10T23:25:24.908708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:25:24.767183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:25:24.981738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:25:24.835104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:25:28.918811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPDSMLPZ_SCTN_CODEPDSMLPZ_SCTNIEM_NMAVRG_AMFSTLTN_AM
SIGNGU_NM1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.000
ADSTRD_NM1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.000
INDUTY_LCLAS_CODE1.0001.0001.0001.0000.9941.0001.0001.0000.0000.0740.074
INDUTY_MLSFC_CODE1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.000
INDUTY_LCLAS_NM1.0001.0000.9941.0001.0001.0001.0001.0000.0000.0740.074
INDUTY_MLSFC_NM1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.000
PDSMLPZ_SCTN_CODE1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.000
PDSMLPZ_SCTN1.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.000
IEM_NM0.0000.0000.0000.0000.0000.0000.0000.0001.0000.4660.466
AVRG_AM0.0000.0000.0740.0000.0740.0000.0000.0000.4661.0001.000
FSTLTN_AM0.0000.0000.0740.0000.0740.0000.0000.0000.4661.0001.000
2023-12-10T23:25:29.081607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
INDUTY_LCLAS_CODEINDUTY_MLSFC_CODEIEM_NMPDSMLPZ_SCTN_CODEINDUTY_MLSFC_NMPDSMLPZ_SCTNSIGNGU_NMADSTRD_NMINDUTY_LCLAS_NM
INDUTY_LCLAS_CODE1.0000.9820.0000.9820.9820.9820.9820.9820.930
INDUTY_MLSFC_CODE0.9821.0000.0001.0001.0001.0001.0001.0000.982
IEM_NM0.0000.0001.0000.0000.0000.0000.0000.0000.000
PDSMLPZ_SCTN_CODE0.9821.0000.0001.0001.0001.0001.0001.0000.982
INDUTY_MLSFC_NM0.9821.0000.0001.0001.0001.0001.0001.0000.982
PDSMLPZ_SCTN0.9821.0000.0001.0001.0001.0001.0001.0000.982
SIGNGU_NM0.9821.0000.0001.0001.0001.0001.0001.0000.982
ADSTRD_NM0.9821.0000.0001.0001.0001.0001.0001.0000.982
INDUTY_LCLAS_NM0.9300.9820.0000.9820.9820.9820.9820.9821.000
2023-12-10T23:25:29.213770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
AVRG_AMFSTLTN_AMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPDSMLPZ_SCTN_CODEPDSMLPZ_SCTNIEM_NM
AVRG_AM1.0001.0000.0000.0000.2100.0000.2100.0000.0000.0000.000
FSTLTN_AM1.0001.0000.0000.0000.2100.0000.2100.0000.0000.0000.000
SIGNGU_NM0.0000.0001.0001.0000.9821.0000.9821.0001.0001.0000.000
ADSTRD_NM0.0000.0001.0001.0000.9821.0000.9821.0001.0001.0000.000
INDUTY_LCLAS_CODE0.2100.2100.9820.9821.0000.9820.9300.9820.9820.9820.000
INDUTY_MLSFC_CODE0.0000.0001.0001.0000.9821.0000.9821.0001.0001.0000.000
INDUTY_LCLAS_NM0.2100.2100.9820.9820.9300.9821.0000.9820.9820.9820.000
INDUTY_MLSFC_NM0.0000.0001.0001.0000.9821.0000.9821.0001.0001.0000.000
PDSMLPZ_SCTN_CODE0.0000.0001.0001.0000.9821.0000.9821.0001.0001.0000.000
PDSMLPZ_SCTN0.0000.0001.0001.0000.9821.0000.9821.0001.0001.0000.000
IEM_NM0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-10T23:25:25.093246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:25:25.299515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

STDR_YEARCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SEPDSMLPZ_SCTN_CODEPDSMLPZ_SCTNIEM_NMTOT_ENTRPRS_COAVRG_AMFSTLTN_AMREGIST_DEOPERTOR_NM
02020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만ROE12.722.722020-10-19KEDSYS
12020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만매출액증가율140.3540.352020-10-19KEDSYS
22020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만부채비율1126.25126.252020-10-19KEDSYS
32020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만순이익율10.550.552020-10-19KEDSYS
42020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만순이익증가율1-128.27-128.272020-10-19KEDSYS
52020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만영업이익율11.391.392020-10-19KEDSYS
62020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만영업이익증가율1-193.72-193.722020-10-19KEDSYS
72020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만유동비율1214.41214.412020-10-19KEDSYS
82020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만자기자본비율144.244.22020-10-19KEDSYS
92020경기고양시덕양구고양동GG45도매 및 소매업자동차 및 부품 판매업3중기업1010년 이상 20년 미만재고자산회전율17.247.242020-10-19KEDSYS
STDR_YEARCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SEPDSMLPZ_SCTN_CODEPDSMLPZ_SCTNIEM_NMTOT_ENTRPRS_COAVRG_AMFSTLTN_AMREGIST_DEOPERTOR_NM
202020경기고양시일산동구백석2동FF42건설업전문직별 공사업3중기업22년 이상 5년 미만유동비율121.9521.952020-10-19KEDSYS
212020경기고양시일산동구백석2동FF42건설업전문직별 공사업3중기업22년 이상 5년 미만자기자본비율12.942.942020-10-19KEDSYS
222020경기고양시일산동구백석2동FF42건설업전문직별 공사업3중기업22년 이상 5년 미만재고자산회전율1336.99336.992020-10-19KEDSYS
232020경기고양시일산동구백석2동FF42건설업전문직별 공사업3중기업22년 이상 5년 미만차입금의존도172.2572.252020-10-19KEDSYS
242020경기고양시일산동구백석2동FF42건설업전문직별 공사업3중기업22년 이상 5년 미만총자산증가율1-0.06-0.062020-10-19KEDSYS
252020경기고양시일산동구백석2동FF42건설업전문직별 공사업3중기업22년 이상 5년 미만총자산회전율10.450.452020-10-19KEDSYS
262020경기고양시일산서구송포동GG46도매 및 소매업도매 및 상품 중개업3중기업55년 이상 10년 미만ROE122.2922.292020-10-19KEDSYS
272020경기고양시일산서구송포동GG46도매 및 소매업도매 및 상품 중개업3중기업55년 이상 10년 미만매출액증가율1-44.66-44.662020-10-19KEDSYS
282020경기고양시일산서구송포동GG46도매 및 소매업도매 및 상품 중개업3중기업55년 이상 10년 미만부채비율187.8387.832020-10-19KEDSYS
292020경기고양시일산서구송포동GG46도매 및 소매업도매 및 상품 중개업3중기업55년 이상 10년 미만순이익율110.910.92020-10-19KEDSYS