Overview

Dataset statistics

Number of variables20
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory176.4 B

Variable types

Categorical18
Text1
Numeric1

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/2ebab906-489d-43fa-8857-91241ee0df6a

Alerts

시도명 has constant value ""Constant
대기업수 has constant value ""Constant
중견기업수 has constant value ""Constant
한시성중소기업수 has constant value ""Constant
보호대상중견기업수 has constant value ""Constant
미분류기업수 has constant value ""Constant
업종대분류코드 is highly overall correlated with 업종중분류코드 and 3 other fieldsHigh correlation
업종대분류명 is highly overall correlated with 업종대분류코드 and 3 other fieldsHigh correlation
업종중분류코드 is highly overall correlated with 업종대분류코드 and 5 other fieldsHigh correlation
업종중분류명 is highly overall correlated with 업종대분류코드 and 5 other fieldsHigh correlation
업력구간코드 is highly overall correlated with 업력구간명High correlation
업력구간명 is highly overall correlated with 업력구간코드High correlation
영업정상기업수 is highly overall correlated with 업종중분류코드 and 3 other fieldsHigh correlation
중기업수 is highly overall correlated with 업종대분류코드 and 3 other fieldsHigh correlation
소기업수 is highly overall correlated with 영업정상기업수High correlation
판단제외기업수 is highly overall correlated with 업종중분류코드 and 2 other fieldsHigh correlation
소기업수 is highly imbalanced (57.4%)Imbalance
Unnamed: 19 is highly imbalanced (53.1%)Imbalance
업력구간코드 has 4 (13.3%) zerosZeros

Reproduction

Analysis started2023-12-10 13:57:39.307593
Analysis finished2023-12-10 13:57:42.009927
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원 30
100.0%

Length

2023-12-10T22:57:42.168583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:42.361397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원 30
100.0%

시군구명
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
횡성군
9 
춘천시
6 
원주시
5 
홍천군
4 
강릉시
3 
Other values (3)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row원주시
2nd row홍천군
3rd row홍천군
4th row춘천시
5th row춘천시

Common Values

ValueCountFrequency (%)
횡성군 9
30.0%
춘천시 6
20.0%
원주시 5
16.7%
홍천군 4
13.3%
강릉시 3
 
10.0%
영월군 1
 
3.3%
양구군 1
 
3.3%
평창군 1
 
3.3%

Length

2023-12-10T22:57:42.565683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:42.762468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
횡성군 9
30.0%
춘천시 6
20.0%
원주시 5
16.7%
홍천군 4
13.3%
강릉시 3
 
10.0%
영월군 1
 
3.3%
양구군 1
 
3.3%
평창군 1
 
3.3%

행정동명
Text

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:57:43.025608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1
Min length3

Characters and Unicode

Total characters93
Distinct characters39
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

Unique16 ?
Unique (%)53.3%

Sample

1st row개운동
2nd row홍천읍
3rd row홍천읍
4th row강남동
5th row사북면
ValueCountFrequency (%)
횡성읍 5
16.7%
홍천읍 3
 
10.0%
강남동 2
 
6.7%
신사우동 2
 
6.7%
중앙동 2
 
6.7%
용평면 1
 
3.3%
개운동 1
 
3.3%
송정동 1
 
3.3%
강동면 1
 
3.3%
둔내면 1
 
3.3%
Other values (11) 11
36.7%
2023-12-10T22:57:43.473180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 12
 
12.9%
읍 10
 
10.8%
면 9
 
9.7%
횡 5
 
5.4%
성 5
 
5.4%
강 4
 
4.3%
천 4
 
4.3%
사 3
 
3.2%
홍 3
 
3.2%
우 3
 
3.2%
Other values (29) 35
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
98.9%
Decimal Number 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
 
13.0%
읍 10
 
10.9%
면 9
 
9.8%
횡 5
 
5.4%
성 5
 
5.4%
강 4
 
4.3%
천 4
 
4.3%
사 3
 
3.3%
홍 3
 
3.3%
우 3
 
3.3%
Other values (28) 34
37.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
98.9%
Common 1
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12
 
13.0%
읍 10
 
10.9%
면 9
 
9.8%
횡 5
 
5.4%
성 5
 
5.4%
강 4
 
4.3%
천 4
 
4.3%
사 3
 
3.3%
홍 3
 
3.3%
우 3
 
3.3%
Other values (28) 34
37.0%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
98.9%
ASCII 1
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 12
 
13.0%
읍 10
 
10.9%
면 9
 
9.8%
횡 5
 
5.4%
성 5
 
5.4%
강 4
 
4.3%
천 4
 
4.3%
사 3
 
3.3%
홍 3
 
3.3%
우 3
 
3.3%
Other values (28) 34
37.0%
ASCII
ValueCountFrequency (%)
1 1
100.0%

업종대분류코드
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Q
14 
H
5 
L
3 
G
3 
M
2 
Other values (2)
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st rowQ
2nd rowQ
3rd rowQ
4th rowQ
5th rowL

Common Values

ValueCountFrequency (%)
Q 14
46.7%
H 5
 
16.7%
L 3
 
10.0%
G 3
 
10.0%
M 2
 
6.7%
I 2
 
6.7%
E 1
 
3.3%

Length

2023-12-10T22:57:43.685054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:43.922123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q 14
46.7%
h 5
 
16.7%
l 3
 
10.0%
g 3
 
10.0%
m 2
 
6.7%
i 2
 
6.7%
e 1
 
3.3%

업종중분류코드
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Q86
10 
H49
5 
Q87
4 
L68
3 
G45
2 
Other values (4)
6 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowQ86
2nd rowQ87
3rd rowQ86
4th rowQ86
5th rowL68

Common Values

ValueCountFrequency (%)
Q86 10
33.3%
H49 5
16.7%
Q87 4
 
13.3%
L68 3
 
10.0%
G45 2
 
6.7%
M71 2
 
6.7%
I55 2
 
6.7%
G46 1
 
3.3%
E38 1
 
3.3%

Length

2023-12-10T22:57:44.110451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:44.331604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q86 10
33.3%
h49 5
16.7%
q87 4
 
13.3%
l68 3
 
10.0%
g45 2
 
6.7%
m71 2
 
6.7%
i55 2
 
6.7%
g46 1
 
3.3%
e38 1
 
3.3%

업력구간코드
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.766667
Minimum0
Maximum60
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:57:44.662206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q327.5
95-th percentile51
Maximum60
Range60
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation18.303351
Coefficient of variation (CV)1.160889
Kurtosis0.33673369
Mean15.766667
Median Absolute Deviation (MAD)9.5
Skewness1.1699433
Sum473
Variance335.01264
MonotonicityNot monotonic
2023-12-10T22:57:44.843401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 5
16.7%
10 5
16.7%
0 4
13.3%
40 4
13.3%
20 3
10.0%
1 3
10.0%
30 2
 
6.7%
60 2
 
6.7%
5 2
 
6.7%
ValueCountFrequency (%)
0 4
13.3%
1 3
10.0%
2 5
16.7%
5 2
 
6.7%
10 5
16.7%
20 3
10.0%
30 2
 
6.7%
40 4
13.3%
60 2
 
6.7%
ValueCountFrequency (%)
60 2
 
6.7%
40 4
13.3%
30 2
 
6.7%
20 3
10.0%
10 5
16.7%
5 2
 
6.7%
2 5
16.7%
1 3
10.0%
0 4
13.3%

업종대분류명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
보건업 및 사회복지 서비스업
14 
운수 및 창고업
5 
부동산업
3 
도매 및 소매업
3 
전문; 과학 및 기술 서비스업
2 
Other values (2)
3 

Length

Max length23
Median length16
Mean length11.966667
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row보건업 및 사회복지 서비스업
2nd row보건업 및 사회복지 서비스업
3rd row보건업 및 사회복지 서비스업
4th row보건업 및 사회복지 서비스업
5th row부동산업

Common Values

ValueCountFrequency (%)
보건업 및 사회복지 서비스업 14
46.7%
운수 및 창고업 5
 
16.7%
부동산업 3
 
10.0%
도매 및 소매업 3
 
10.0%
전문; 과학 및 기술 서비스업 2
 
6.7%
숙박 및 음식점업 2
 
6.7%
수도; 하수 및 폐기물 처리; 원료 재생업 1
 
3.3%

Length

2023-12-10T22:57:45.466504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:45.728671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 27
25.5%
서비스업 16
15.1%
보건업 14
13.2%
사회복지 14
13.2%
운수 5
 
4.7%
창고업 5
 
4.7%
부동산업 3
 
2.8%
도매 3
 
2.8%
소매업 3
 
2.8%
숙박 2
 
1.9%
Other values (10) 14
13.2%

업종중분류명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
보건업
10 
육상운송 및 파이프라인 운송업
5 
사회복지 서비스업
4 
부동산업
3 
자동차 및 부품 판매업
2 
Other values (4)
6 

Length

Max length23
Median length16
Mean length7.8666667
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row보건업
2nd row사회복지 서비스업
3rd row보건업
4th row보건업
5th row부동산업

Common Values

ValueCountFrequency (%)
보건업 10
33.3%
육상운송 및 파이프라인 운송업 5
16.7%
사회복지 서비스업 4
 
13.3%
부동산업 3
 
10.0%
자동차 및 부품 판매업 2
 
6.7%
전문 서비스업 2
 
6.7%
숙박업 2
 
6.7%
도매 및 상품 중개업 1
 
3.3%
폐기물 수집; 운반; 처리 및 원료 재생업 1
 
3.3%

Length

2023-12-10T22:57:45.963514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:46.205727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건업 10
15.2%
및 9
13.6%
서비스업 6
 
9.1%
파이프라인 5
 
7.6%
운송업 5
 
7.6%
육상운송 5
 
7.6%
사회복지 4
 
6.1%
부동산업 3
 
4.5%
판매업 2
 
3.0%
숙박업 2
 
3.0%
Other values (12) 15
22.7%

업력구간명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2년 이상 5년 미만
5 
10년 이상 20년 미만
5 
1년 미만
4 
40년 이상 50년 미만
4 
20년 이상 30년 미만
3 
Other values (4)
9 

Length

Max length13
Median length13
Mean length11.333333
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30년 이상 40년 미만
2nd row2년 이상 5년 미만
3rd row10년 이상 20년 미만
4th row10년 이상 20년 미만
5th row60년 이상 70년 미만

Common Values

ValueCountFrequency (%)
2년 이상 5년 미만 5
16.7%
10년 이상 20년 미만 5
16.7%
1년 미만 4
13.3%
40년 이상 50년 미만 4
13.3%
20년 이상 30년 미만 3
10.0%
1년 이상 2년 미만 3
10.0%
30년 이상 40년 미만 2
 
6.7%
60년 이상 70년 미만 2
 
6.7%
5년 이상 10년 미만 2
 
6.7%

Length

2023-12-10T22:57:46.562562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:46.788393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 30
26.8%
이상 26
23.2%
2년 8
 
7.1%
20년 8
 
7.1%
5년 7
 
6.2%
10년 7
 
6.2%
1년 7
 
6.2%
40년 6
 
5.4%
30년 5
 
4.5%
50년 4
 
3.6%
Other values (2) 4
 
3.6%

영업정상기업수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
23 
2
3 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 23
76.7%
2 3
 
10.0%
3 3
 
10.0%
4 1
 
3.3%

Length

2023-12-10T22:57:47.009676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:47.175209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
76.7%
2 3
 
10.0%
3 3
 
10.0%
4 1
 
3.3%

대기업수
Categorical

CONSTANT 

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

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 30
100.0%

Length

2023-12-10T22:57:47.358576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:47.525030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

중견기업수
Categorical

CONSTANT 

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

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 30
100.0%

Length

2023-12-10T22:57:47.718352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:48.078967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

한시성중소기업수
Categorical

CONSTANT 

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

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 30
100.0%

Length

2023-12-10T22:57:48.280824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:48.430470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

보호대상중견기업수
Categorical

CONSTANT 

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

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 30
100.0%

Length

2023-12-10T22:57:48.907169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:49.199862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

중기업수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%

Length

2023-12-10T22:57:49.499941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:49.668609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%

소기업수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
1
3 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
1 3
 
10.0%
3 1
 
3.3%

Length

2023-12-10T22:57:49.907158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:50.102244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 3
 
10.0%
3 1
 
3.3%

소상공인수
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
7 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row1
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 7
 
23.3%
2 1
 
3.3%

Length

2023-12-10T22:57:50.295181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:50.520936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 7
 
23.3%
2 1
 
3.3%

판단제외기업수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
16 
1
10 
2
3 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
53.3%
1 10
33.3%
2 3
 
10.0%
3 1
 
3.3%

Length

2023-12-10T22:57:50.731865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:50.944395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
53.3%
1 10
33.3%
2 3
 
10.0%
3 1
 
3.3%

미분류기업수
Categorical

CONSTANT 

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

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 30
100.0%

Length

2023-12-10T22:57:51.111319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:51.257951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

Unnamed: 19
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

Length

2023-12-10T22:57:51.441793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:51.599389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

Interactions

2023-12-10T22:57:41.153566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:57:51.719562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명행정동명업종대분류코드업종중분류코드업력구간코드업종대분류명업종중분류명업력구간명영업정상기업수중기업수소기업수소상공인수판단제외기업수Unnamed: 19
시군구명1.0000.9880.4240.5040.4840.4240.5040.2170.1350.0000.0000.3390.0000.000
행정동명0.9881.0000.8920.8060.7900.8920.8060.7130.0000.2880.0000.0000.0001.000
업종대분류코드0.4240.8921.0001.0000.3971.0001.0000.5520.5930.6920.2630.0000.5500.000
업종중분류코드0.5040.8061.0001.0000.4841.0001.0000.7230.8160.7090.0000.3280.8530.000
업력구간코드0.4840.7900.3970.4841.0000.3970.4841.0000.0000.0000.0000.5530.1490.414
업종대분류명0.4240.8921.0001.0000.3971.0001.0000.5520.5930.6920.2630.0000.5500.000
업종중분류명0.5040.8061.0001.0000.4841.0001.0000.7230.8160.7090.0000.3280.8530.000
업력구간명0.2170.7130.5520.7231.0000.5520.7231.0000.0000.3720.7300.1160.6060.000
영업정상기업수0.1350.0000.5930.8160.0000.5930.8160.0001.0000.5230.5500.3330.9430.000
중기업수0.0000.2880.6920.7090.0000.6920.7090.3720.5231.0000.0000.0490.6410.000
소기업수0.0000.0000.2630.0000.0000.2630.0000.7300.5500.0001.0000.0000.3710.000
소상공인수0.3390.0000.0000.3280.5530.0000.3280.1160.3330.0490.0001.0000.2680.000
판단제외기업수0.0000.0000.5500.8530.1490.5500.8530.6060.9430.6410.3710.2681.0000.000
Unnamed: 190.0001.0000.0000.0000.4140.0000.0000.0000.0000.0000.0000.0000.0001.000
2023-12-10T22:57:51.992040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종대분류코드판단제외기업수영업정상기업수업종대분류명시군구명중기업수소상공인수Unnamed: 19업종중분류코드업력구간명소기업수업종중분류명
업종대분류코드1.0000.3790.4181.0000.2170.6760.0000.0000.9560.3010.1460.956
판단제외기업수0.3791.0000.6800.3790.0000.4280.2440.0000.6640.3810.3500.664
영업정상기업수0.4180.6801.0000.4180.0000.3380.3100.0000.6110.0000.5430.611
업종대분류명1.0000.3790.4181.0000.2170.6760.0000.0000.9560.3010.1460.956
시군구명0.2170.0000.0000.2171.0000.0000.1860.0000.2480.0000.0000.248
중기업수0.6760.4280.3380.6760.0001.0000.0620.0000.6210.3090.0000.621
소상공인수0.0000.2440.3100.0000.1860.0621.0000.0000.0920.0000.0000.092
Unnamed: 190.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.000
업종중분류코드0.9560.6640.6110.9560.2480.6210.0920.0001.0000.2890.0001.000
업력구간명0.3010.3810.0000.3010.0000.3090.0000.0000.2891.0000.3740.289
소기업수0.1460.3500.5430.1460.0000.0000.0000.0000.0000.3741.0000.000
업종중분류명0.9560.6640.6110.9560.2480.6210.0920.0001.0000.2890.0001.000
2023-12-10T22:57:52.372583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업력구간코드시군구명업종대분류코드업종중분류코드업종대분류명업종중분류명업력구간명영업정상기업수중기업수소기업수소상공인수판단제외기업수Unnamed: 19
업력구간코드1.0000.2650.2280.2260.2280.2260.9350.0000.0000.0000.2450.0480.266
시군구명0.2651.0000.2170.2480.2170.2480.0000.0000.0000.0000.1860.0000.000
업종대분류코드0.2280.2171.0000.9561.0000.9560.3010.4180.6760.1460.0000.3790.000
업종중분류코드0.2260.2480.9561.0000.9561.0000.2890.6110.6210.0000.0920.6640.000
업종대분류명0.2280.2171.0000.9561.0000.9560.3010.4180.6760.1460.0000.3790.000
업종중분류명0.2260.2480.9561.0000.9561.0000.2890.6110.6210.0000.0920.6640.000
업력구간명0.9350.0000.3010.2890.3010.2891.0000.0000.3090.3740.0000.3810.000
영업정상기업수0.0000.0000.4180.6110.4180.6110.0001.0000.3380.5430.3100.6800.000
중기업수0.0000.0000.6760.6210.6760.6210.3090.3381.0000.0000.0620.4280.000
소기업수0.0000.0000.1460.0000.1460.0000.3740.5430.0001.0000.0000.3500.000
소상공인수0.2450.1860.0000.0920.0000.0920.0000.3100.0620.0001.0000.2440.000
판단제외기업수0.0480.0000.3790.6640.3790.6640.3810.6800.4280.3500.2441.0000.000
Unnamed: 190.2660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-10T22:57:41.367140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:57:41.779811image/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

시도명시군구명행정동명업종대분류코드업종중분류코드업력구간코드업종대분류명업종중분류명업력구간명영업정상기업수대기업수중견기업수한시성중소기업수보호대상중견기업수중기업수소기업수소상공인수판단제외기업수미분류기업수Unnamed: 19
0강원원주시개운동QQ8630보건업 및 사회복지 서비스업보건업30년 이상 40년 미만10000000001
1강원홍천군홍천읍QQ872보건업 및 사회복지 서비스업사회복지 서비스업2년 이상 5년 미만10000000100
2강원홍천군홍천읍QQ8610보건업 및 사회복지 서비스업보건업10년 이상 20년 미만10000001000
3강원춘천시강남동QQ8610보건업 및 사회복지 서비스업보건업10년 이상 20년 미만20000002000
4강원춘천시사북면LL6860부동산업부동산업60년 이상 70년 미만10000100000
5강원횡성군횡성읍HH4920운수 및 창고업육상운송 및 파이프라인 운송업20년 이상 30년 미만10000100000
6강원횡성군강림면QQ865보건업 및 사회복지 서비스업보건업5년 이상 10년 미만10000001000
7강원춘천시신사우동QQ870보건업 및 사회복지 서비스업사회복지 서비스업1년 미만10000000100
8강원원주시중앙동QQ8640보건업 및 사회복지 서비스업보건업40년 이상 50년 미만10000001000
9강원춘천시신사우동QQ860보건업 및 사회복지 서비스업보건업1년 미만10000000100
시도명시군구명행정동명업종대분류코드업종중분류코드업력구간코드업종대분류명업종중분류명업력구간명영업정상기업수대기업수중견기업수한시성중소기업수보호대상중견기업수중기업수소기업수소상공인수판단제외기업수미분류기업수Unnamed: 19
20강원강릉시강남동GG461도매 및 소매업도매 및 상품 중개업1년 이상 2년 미만40000100300
21강원홍천군북방면QQ8610보건업 및 사회복지 서비스업보건업10년 이상 20년 미만10000001000
22강원원주시판부면QQ8610보건업 및 사회복지 서비스업보건업10년 이상 20년 미만10000001000
23강원횡성군우천면GG4510도매 및 소매업자동차 및 부품 판매업10년 이상 20년 미만20000100001
24강원횡성군둔내면II551숙박 및 음식점업숙박업1년 이상 2년 미만10000000100
25강원홍천군홍천읍II550숙박 및 음식점업숙박업1년 미만10000000100
26강원원주시중앙동LL6860부동산업부동산업60년 이상 70년 미만10000000100
27강원강릉시강동면EE382수도; 하수 및 폐기물 처리; 원료 재생업폐기물 수집; 운반; 처리 및 원료 재생업2년 이상 5년 미만20000000200
28강원원주시단계동LL6840부동산업부동산업40년 이상 50년 미만10000010000
29강원횡성군횡성읍MM712전문; 과학 및 기술 서비스업전문 서비스업2년 이상 5년 미만30000010200