Overview

Dataset statistics

Number of variables18
Number of observations30
Missing cells30
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory153.4 B

Variable types

DateTime2
Categorical13
Text1
Numeric1
Unsupported1

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/255cbe2e-27ff-4cdf-a1de-2848eab5f9d0

Alerts

기준년월 has constant value ""Constant
등록일자 has constant value ""Constant
작업자명 has constant value ""Constant
업종대분류명 is highly overall correlated with 시군구명 and 4 other fieldsHigh correlation
기업규모코드 is highly overall correlated with 업력구간코드 and 3 other fieldsHigh correlation
시군구명 is highly overall correlated with 시도명 and 3 other fieldsHigh correlation
외국인투자기업수 is highly overall correlated with 투자국가명 and 1 other fieldsHigh correlation
종업원수 is highly overall correlated with 업력구간코드 and 11 other fieldsHigh correlation
시도명 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
업종중분류코드 is highly overall correlated with 업종대분류코드 and 4 other fieldsHigh correlation
업종중분류명 is highly overall correlated with 업종대분류코드 and 4 other fieldsHigh correlation
업력구간명 is highly overall correlated with 업력구간코드 and 5 other fieldsHigh correlation
업종대분류코드 is highly overall correlated with 시군구명 and 4 other fieldsHigh correlation
투자국가명 is highly overall correlated with 외국인투자기업수 and 1 other fieldsHigh correlation
기업규모명 is highly overall correlated with 업력구간코드 and 3 other fieldsHigh correlation
업력구간코드 is highly overall correlated with 업력구간명 and 3 other fieldsHigh correlation
시도명 is highly imbalanced (78.9%)Imbalance
외국인투자기업수 is highly imbalanced (78.9%)Imbalance
종업원수 is highly imbalanced (68.6%)Imbalance
매출금액 has 30 (100.0%) missing valuesMissing
매출금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업력구간코드 has 2 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-10 14:04:58.190697
Analysis finished2023-12-10 14:05:00.950740
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2010-01-01 00:00:00
Maximum2010-01-01 00:00:00
2023-12-10T23:05:01.029772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:01.204878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시도명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기
29 
강원
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
경기 29
96.7%
강원 1
 
3.3%

Length

2023-12-10T23:05:01.486619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:01.771515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 29
96.7%
강원 1
 
3.3%

시군구명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
안양시동안구
6 
시흥시
5 
안산시 단원구
3 
안산시단원구
3 
양주시
3 
Other values (7)
10 

Length

Max length7
Median length6
Mean length5
Min length3

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row춘천시
2nd row시흥시
3rd row시흥시
4th row시흥시
5th row시흥시

Common Values

ValueCountFrequency (%)
안양시동안구 6
20.0%
시흥시 5
16.7%
안산시 단원구 3
10.0%
안산시단원구 3
10.0%
양주시 3
10.0%
안성시 2
 
6.7%
안양시 만안구 2
 
6.7%
안양시만안구 2
 
6.7%
춘천시 1
 
3.3%
안산시상록구 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2023-12-10T23:05:02.006606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시동안구 6
16.7%
시흥시 5
13.9%
안산시 3
8.3%
단원구 3
8.3%
안산시단원구 3
8.3%
양주시 3
8.3%
안양시 3
8.3%
안성시 2
 
5.6%
만안구 2
 
5.6%
안양시만안구 2
 
5.6%
Other values (4) 4
11.1%

행정동명
Text

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:02.307769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Characters and Unicode

Total characters105
Distinct characters37
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)60.0%

Sample

1st row후평1동
2nd row정왕1동
3rd row정왕1동
4th row정왕2동
5th row정왕2동
ValueCountFrequency (%)
정왕2동 2
 
6.7%
부흥동 2
 
6.7%
정왕1동 2
 
6.7%
안양1동 2
 
6.7%
호수동 2
 
6.7%
평촌동 2
 
6.7%
관양1동 1
 
3.3%
후평1동 1
 
3.3%
안양7동 1
 
3.3%
회천3동 1
 
3.3%
Other values (14) 14
46.7%
2023-12-10T23:05:02.989491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 26
24.8%
1 8
 
7.6%
양 7
 
6.7%
정 5
 
4.8%
왕 5
 
4.8%
2 4
 
3.8%
평 3
 
2.9%
안 3
 
2.9%
호 3
 
2.9%
수 3
 
2.9%
Other values (27) 38
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
85.7%
Decimal Number 15
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
28.9%
양 7
 
7.8%
정 5
 
5.6%
왕 5
 
5.6%
평 3
 
3.3%
안 3
 
3.3%
호 3
 
3.3%
수 3
 
3.3%
백 2
 
2.2%
관 2
 
2.2%
Other values (23) 31
34.4%
Decimal Number
ValueCountFrequency (%)
1 8
53.3%
2 4
26.7%
3 2
 
13.3%
7 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
85.7%
Common 15
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
28.9%
양 7
 
7.8%
정 5
 
5.6%
왕 5
 
5.6%
평 3
 
3.3%
안 3
 
3.3%
호 3
 
3.3%
수 3
 
3.3%
백 2
 
2.2%
관 2
 
2.2%
Other values (23) 31
34.4%
Common
ValueCountFrequency (%)
1 8
53.3%
2 4
26.7%
3 2
 
13.3%
7 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
85.7%
ASCII 15
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 26
28.9%
양 7
 
7.8%
정 5
 
5.6%
왕 5
 
5.6%
평 3
 
3.3%
안 3
 
3.3%
호 3
 
3.3%
수 3
 
3.3%
백 2
 
2.2%
관 2
 
2.2%
Other values (23) 31
34.4%
ASCII
ValueCountFrequency (%)
1 8
53.3%
2 4
26.7%
3 2
 
13.3%
7 1
 
6.7%

업종대분류코드
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
G
12 
C
12 
M
3 
J
 
1
I
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
G 12
40.0%
C 12
40.0%
M 3
 
10.0%
J 1
 
3.3%
I 1
 
3.3%
L 1
 
3.3%

Length

2023-12-10T23:05:03.216377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:03.741708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 12
40.0%
c 12
40.0%
m 3
 
10.0%
j 1
 
3.3%
i 1
 
3.3%
l 1
 
3.3%

업종중분류코드
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
G46
12 
C29
3 
C26
2 
M70
2 
C27
2 
Other values (9)
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st rowG46
2nd rowC10
3rd rowC29
4th rowC29
5th rowG46

Common Values

ValueCountFrequency (%)
G46 12
40.0%
C29 3
 
10.0%
C26 2
 
6.7%
M70 2
 
6.7%
C27 2
 
6.7%
C10 1
 
3.3%
C30 1
 
3.3%
C20 1
 
3.3%
C22 1
 
3.3%
J58 1
 
3.3%
Other values (4) 4
 
13.3%

Length

2023-12-10T23:05:03.937313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g46 12
40.0%
c29 3
 
10.0%
c26 2
 
6.7%
m70 2
 
6.7%
c27 2
 
6.7%
c10 1
 
3.3%
c30 1
 
3.3%
c20 1
 
3.3%
c22 1
 
3.3%
j58 1
 
3.3%
Other values (4) 4
 
13.3%

업종대분류명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
도매 및 소매업
12 
제조업
12 
전문. 과학 및 기술 서비스업
3 
정보통신업
 
1
숙박 및 음식점업
 
1

Length

Max length16
Median length9
Mean length6.6
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
도매 및 소매업 12
40.0%
제조업 12
40.0%
전문. 과학 및 기술 서비스업 3
 
10.0%
정보통신업 1
 
3.3%
숙박 및 음식점업 1
 
3.3%
부동산업 1
 
3.3%

Length

2023-12-10T23:05:04.110295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:04.287554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 16
23.5%
도매 12
17.6%
소매업 12
17.6%
제조업 12
17.6%
전문 3
 
4.4%
과학 3
 
4.4%
기술 3
 
4.4%
서비스업 3
 
4.4%
정보통신업 1
 
1.5%
숙박 1
 
1.5%
Other values (2) 2
 
2.9%

업종중분류명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
도매 및 상품 중개업
12 
기타 기계 및 장비 제조업
3 
전자부품. 컴퓨터. 영상. 음향 및 통신장비 제조업
2 
연구개발업
2 
의료. 정밀. 광학기기 및 시계 제조업
2 
Other values (9)
9 

Length

Max length28
Median length26
Mean length13.066667
Min length3

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row도매 및 상품 중개업
2nd row식료품 제조업
3rd row기타 기계 및 장비 제조업
4th row기타 기계 및 장비 제조업
5th row도매 및 상품 중개업

Common Values

ValueCountFrequency (%)
도매 및 상품 중개업 12
40.0%
기타 기계 및 장비 제조업 3
 
10.0%
전자부품. 컴퓨터. 영상. 음향 및 통신장비 제조업 2
 
6.7%
연구개발업 2
 
6.7%
의료. 정밀. 광학기기 및 시계 제조업 2
 
6.7%
식료품 제조업 1
 
3.3%
자동차 및 트레일러 제조업 1
 
3.3%
화학물질 및 화학제품 제조업; 의약품 제외 1
 
3.3%
고무 및 플라스틱제품 제조업 1
 
3.3%
출판업 1
 
3.3%
Other values (4) 4
 
13.3%

Length

2023-12-10T23:05:04.504017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 24
19.8%
도매 12
 
9.9%
상품 12
 
9.9%
중개업 12
 
9.9%
제조업 12
 
9.9%
기타 5
 
4.1%
기계 3
 
2.5%
장비 3
 
2.5%
의료 2
 
1.7%
시계 2
 
1.7%
Other values (26) 34
28.1%

업력구간코드
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.033333
Minimum0
Maximum99
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:05:04.686042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q15
median25
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)94

Descriptive statistics

Standard deviation46.930972
Coefficient of variation (CV)0.9379941
Kurtosis-2.0885713
Mean50.033333
Median Absolute Deviation (MAD)25
Skewness0.099405886
Sum1501
Variance2202.5161
MonotonicityNot monotonic
2023-12-10T23:05:04.848327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
99 14
46.7%
5 6
20.0%
10 3
 
10.0%
0 2
 
6.7%
2 2
 
6.7%
20 1
 
3.3%
30 1
 
3.3%
1 1
 
3.3%
ValueCountFrequency (%)
0 2
 
6.7%
1 1
 
3.3%
2 2
 
6.7%
5 6
20.0%
10 3
 
10.0%
20 1
 
3.3%
30 1
 
3.3%
99 14
46.7%
ValueCountFrequency (%)
99 14
46.7%
30 1
 
3.3%
20 1
 
3.3%
10 3
 
10.0%
5 6
20.0%
2 2
 
6.7%
1 1
 
3.3%
0 2
 
6.7%

업력구간명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
미분류
14 
5년이상 10년미만
6 
10년이상 20년미만
3 
1년미만
2 
2년이상 5년미만
2 
Other values (3)
3 

Length

Max length11
Median length10
Mean length6.4
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row미분류
2nd row1년미만
3rd row미분류
4th row1년미만
5th row미분류

Common Values

ValueCountFrequency (%)
미분류 14
46.7%
5년이상 10년미만 6
20.0%
10년이상 20년미만 3
 
10.0%
1년미만 2
 
6.7%
2년이상 5년미만 2
 
6.7%
20년이상 30년미만 1
 
3.3%
30년이상 40년미만 1
 
3.3%
1년이상 2년미만 1
 
3.3%

Length

2023-12-10T23:05:05.037173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:05.231727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 14
31.8%
5년이상 6
13.6%
10년미만 6
13.6%
10년이상 3
 
6.8%
20년미만 3
 
6.8%
1년미만 2
 
4.5%
2년이상 2
 
4.5%
5년미만 2
 
4.5%
20년이상 1
 
2.3%
30년미만 1
 
2.3%
Other values (4) 4
 
9.1%

기업규모코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
99
16 
4
9 
3
4 
2
 
1

Length

Max length2
Median length2
Mean length1.5333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row99
2nd row4
3rd row99
4th row4
5th row99

Common Values

ValueCountFrequency (%)
99 16
53.3%
4 9
30.0%
3 4
 
13.3%
2 1
 
3.3%

Length

2023-12-10T23:05:05.513101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:05.717316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 16
53.3%
4 9
30.0%
3 4
 
13.3%
2 1
 
3.3%

기업규모명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
미분류
16 
소기업
9 
중기업
4 
중견기업
 
1

Length

Max length4
Median length3
Mean length3.0333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row미분류
2nd row소기업
3rd row미분류
4th row소기업
5th row미분류

Common Values

ValueCountFrequency (%)
미분류 16
53.3%
소기업 9
30.0%
중기업 4
 
13.3%
중견기업 1
 
3.3%

Length

2023-12-10T23:05:06.110126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:06.288839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 16
53.3%
소기업 9
30.0%
중기업 4
 
13.3%
중견기업 1
 
3.3%

투자국가명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
일본
7 
미국
6 
독일
3 
싱가포르
2 
네덜란드
2 
Other values (9)
10 

Length

Max length6
Median length2
Mean length2.7666667
Min length2

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row일본
2nd row싱가포르
3rd row네덜란드
4th row룩셈부르크
5th row중국

Common Values

ValueCountFrequency (%)
일본 7
23.3%
미국 6
20.0%
독일 3
10.0%
싱가포르 2
 
6.7%
네덜란드 2
 
6.7%
중국 2
 
6.7%
룩셈부르크 1
 
3.3%
방글라데시 1
 
3.3%
브루나이 1
 
3.3%
네팔 1
 
3.3%
Other values (4) 4
13.3%

Length

2023-12-10T23:05:06.486304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일본 7
23.3%
미국 6
20.0%
독일 3
10.0%
싱가포르 2
 
6.7%
네덜란드 2
 
6.7%
중국 2
 
6.7%
룩셈부르크 1
 
3.3%
방글라데시 1
 
3.3%
브루나이 1
 
3.3%
네팔 1
 
3.3%
Other values (4) 4
13.3%

외국인투자기업수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
29 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
96.7%
4 1
 
3.3%

Length

2023-12-10T23:05:06.692495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:06.845036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
96.7%
4 1
 
3.3%

종업원수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
106
 
1
65
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
90.0%
106 1
 
3.3%
65 1
 
3.3%
3 1
 
3.3%

Length

2023-12-10T23:05:07.026409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:07.207586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
106 1
 
3.3%
65 1
 
3.3%
3 1
 
3.3%

매출금액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

등록일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2021-11-01 00:00:00
Maximum2021-11-01 00:00:00
2023-12-10T23:05:07.358706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:07.513900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

작업자명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KEDSYSTEM 30
100.0%

Length

2023-12-10T23:05:07.707399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:07.980657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kedsystem 30
100.0%

Interactions

2023-12-10T23:05:00.250074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:05:08.095529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명시군구명행정동명업종대분류코드업종중분류코드업종대분류명업종중분류명업력구간코드업력구간명기업규모코드기업규모명투자국가명외국인투자기업수종업원수
시도명1.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000NaN
시군구명1.0001.0000.9910.9470.7510.9470.7510.3020.5870.0000.0000.0000.0001.000
행정동명1.0000.9911.0000.7180.3150.7180.3150.8010.0000.8180.8180.3151.0001.000
업종대분류코드0.0000.9470.7181.0001.0001.0001.0000.0000.3740.0000.0000.6270.0001.000
업종중분류코드0.0000.7510.3151.0001.0001.0001.0000.8370.8890.7500.7500.0000.0001.000
업종대분류명0.0000.9470.7181.0001.0001.0001.0000.0000.3740.0000.0000.6270.0001.000
업종중분류명0.0000.7510.3151.0001.0001.0001.0000.8370.8890.7500.7500.0000.0001.000
업력구간코드0.0000.3020.8010.0000.8370.0000.8371.0001.0000.7850.7850.0000.0001.000
업력구간명0.0000.5870.0000.3740.8890.3740.8891.0001.0000.9670.9670.0000.0001.000
기업규모코드0.0000.0000.8180.0000.7500.0000.7500.7850.9671.0001.0000.0000.0001.000
기업규모명0.0000.0000.8180.0000.7500.0000.7500.7850.9671.0001.0000.0000.0001.000
투자국가명0.0000.0000.3150.6270.0000.6270.0000.0000.0000.0000.0001.0001.0001.000
외국인투자기업수0.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.000NaN
종업원수NaN1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.000
2023-12-10T23:05:08.361384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종대분류명기업규모코드시군구명외국인투자기업수종업원수시도명업종중분류코드업종중분류명업력구간명업종대분류코드투자국가명기업규모명
업종대분류명1.0000.0000.5790.0001.0000.0000.8160.8160.1851.0000.2750.000
기업규모코드0.0001.0000.0000.0001.0000.0000.4050.4050.6940.0000.0001.000
시군구명0.5790.0001.0000.0001.0000.8020.3500.3500.2350.5790.0000.000
외국인투자기업수0.0000.0000.0001.0001.0000.0000.0000.0000.0000.0000.7560.000
종업원수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시도명0.0000.0000.8020.0001.0001.0000.0000.0000.0000.0000.0000.000
업종중분류코드0.8160.4050.3500.0001.0000.0001.0001.0000.5590.8160.0000.405
업종중분류명0.8160.4050.3500.0001.0000.0001.0001.0000.5590.8160.0000.405
업력구간명0.1850.6940.2350.0001.0000.0000.5590.5591.0000.1850.0000.694
업종대분류코드1.0000.0000.5790.0001.0000.0000.8160.8160.1851.0000.2750.000
투자국가명0.2750.0000.0000.7561.0000.0000.0000.0000.0000.2751.0000.000
기업규모명0.0001.0000.0000.0001.0000.0000.4050.4050.6940.0000.0001.000
2023-12-10T23:05:08.638362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업력구간코드시도명시군구명업종대분류코드업종중분류코드업종대분류명업종중분류명업력구간명기업규모코드기업규모명투자국가명외국인투자기업수종업원수
업력구간코드1.0000.0000.0830.0000.4960.0000.4960.9380.7240.7240.0000.0001.000
시도명0.0001.0000.8020.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
시군구명0.0830.8021.0000.5790.3500.5790.3500.2350.0000.0000.0000.0001.000
업종대분류코드0.0000.0000.5791.0000.8161.0000.8160.1850.0000.0000.2750.0001.000
업종중분류코드0.4960.0000.3500.8161.0000.8161.0000.5590.4050.4050.0000.0001.000
업종대분류명0.0000.0000.5791.0000.8161.0000.8160.1850.0000.0000.2750.0001.000
업종중분류명0.4960.0000.3500.8161.0000.8161.0000.5590.4050.4050.0000.0001.000
업력구간명0.9380.0000.2350.1850.5590.1850.5591.0000.6940.6940.0000.0001.000
기업규모코드0.7240.0000.0000.0000.4050.0000.4050.6941.0001.0000.0000.0001.000
기업규모명0.7240.0000.0000.0000.4050.0000.4050.6941.0001.0000.0000.0001.000
투자국가명0.0000.0000.0000.2750.0000.2750.0000.0000.0000.0001.0000.7561.000
외국인투자기업수0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.7561.0001.000
종업원수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-10T23:05:00.457215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:05:00.810504image/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

기준년월시도명시군구명행정동명업종대분류코드업종중분류코드업종대분류명업종중분류명업력구간코드업력구간명기업규모코드기업규모명투자국가명외국인투자기업수종업원수매출금액등록일자작업자명
02010-01강원춘천시후평1동GG46도매 및 소매업도매 및 상품 중개업99미분류99미분류일본1<NA><NA>2021-11-01KEDSYSTEM
12010-01경기시흥시정왕1동CC10제조업식료품 제조업01년미만4소기업싱가포르1<NA><NA>2021-11-01KEDSYSTEM
22010-01경기시흥시정왕1동CC29제조업기타 기계 및 장비 제조업99미분류99미분류네덜란드1<NA><NA>2021-11-01KEDSYSTEM
32010-01경기시흥시정왕2동CC29제조업기타 기계 및 장비 제조업01년미만4소기업룩셈부르크1<NA><NA>2021-11-01KEDSYSTEM
42010-01경기시흥시정왕2동GG46도매 및 소매업도매 및 상품 중개업99미분류99미분류중국1<NA><NA>2021-11-01KEDSYSTEM
52010-01경기시흥시정왕3동GG46도매 및 소매업도매 및 상품 중개업99미분류99미분류방글라데시1<NA><NA>2021-11-01KEDSYSTEM
62010-01경기안산시 단원구백운동GG46도매 및 소매업도매 및 상품 중개업99미분류99미분류중국1<NA><NA>2021-11-01KEDSYSTEM
72010-01경기안산시 단원구초지동CC26제조업전자부품. 컴퓨터. 영상. 음향 및 통신장비 제조업99미분류99미분류네덜란드1<NA><NA>2021-11-01KEDSYSTEM
82010-01경기안산시 단원구호수동CC30제조업자동차 및 트레일러 제조업99미분류99미분류미국1<NA><NA>2021-11-01KEDSYSTEM
92010-01경기안산시단원구고잔동GG46도매 및 소매업도매 및 상품 중개업55년이상 10년미만99미분류미국1<NA><NA>2021-11-01KEDSYSTEM
기준년월시도명시군구명행정동명업종대분류코드업종중분류코드업종대분류명업종중분류명업력구간코드업력구간명기업규모코드기업규모명투자국가명외국인투자기업수종업원수매출금액등록일자작업자명
202010-01경기안양시동안구부흥동MM70전문. 과학 및 기술 서비스업연구개발업55년이상 10년미만99미분류독일1<NA><NA>2021-11-01KEDSYSTEM
212010-01경기안양시동안구평촌동CC27제조업의료. 정밀. 광학기기 및 시계 제조업55년이상 10년미만4소기업프랑스1<NA><NA>2021-11-01KEDSYSTEM
222010-01경기안양시동안구평촌동GG46도매 및 소매업도매 및 상품 중개업1010년이상 20년미만4소기업미국1<NA><NA>2021-11-01KEDSYSTEM
232010-01경기안양시동안구호계1동MM72전문. 과학 및 기술 서비스업건축기술. 엔지니어링 및 기타 과학기술 서비스업55년이상 10년미만3중기업일본1<NA><NA>2021-11-01KEDSYSTEM
242010-01경기안양시만안구석수2동GG46도매 및 소매업도매 및 상품 중개업1010년이상 20년미만3중기업일본1<NA><NA>2021-11-01KEDSYSTEM
252010-01경기안양시만안구안양1동CC33제조업기타 제품 제조업11년이상 2년미만4소기업미국1<NA><NA>2021-11-01KEDSYSTEM
262010-01경기양주시백석읍GG46도매 및 소매업도매 및 상품 중개업99미분류99미분류몽골1<NA><NA>2021-11-01KEDSYSTEM
272010-01경기양주시회천1동GG46도매 및 소매업도매 및 상품 중개업55년이상 10년미만99미분류아프가니스탄1<NA><NA>2021-11-01KEDSYSTEM
282010-01경기양주시회천3동GG46도매 및 소매업도매 및 상품 중개업99미분류99미분류파키스탄4<NA><NA>2021-11-01KEDSYSTEM
292010-01경기여주시능서면LL68부동산업부동산업22년이상 5년미만4소기업싱가포르13<NA>2021-11-01KEDSYSTEM