Overview

Dataset statistics

Number of variables24
Number of observations30
Missing cells34
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory206.4 B

Variable types

Categorical18
Numeric6

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://www.bigdata-region.kr/#/dataset/2d58ffa9-cd9f-492f-90bc-6c94e6eb52a1

Alerts

STDR_YM has constant value ""Constant
CTPRVN_NM has constant value ""Constant
REGIST_DE has constant value ""Constant
OPERTOR_NM has constant value ""Constant
TOT_ENTRPRS_CO is highly imbalanced (78.9%)Imbalance
SELNG_AVRG_AM has 5 (16.7%) missing valuesMissing
BSN_PROFIT_AVRG_AM has 5 (16.7%) missing valuesMissing
RSDV_AVRG_AM has 9 (30.0%) missing valuesMissing
EMPLY_AVRG_CO has 5 (16.7%) missing valuesMissing
ANSLRY_AVRG_AM has 5 (16.7%) missing valuesMissing
RETIRER_AVRG_CO has 5 (16.7%) missing valuesMissing
ANSLRY_AVRG_AM has 1 (3.3%) zerosZeros
RETIRER_AVRG_CO has 17 (56.7%) zerosZeros

Reproduction

Analysis started2023-12-10 14:24:23.738590
Analysis finished2023-12-10 14:24:23.945774
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STDR_YM
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2017-07
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-07
2nd row2017-07
3rd row2017-07
4th row2017-07
5th row2017-07

Common Values

ValueCountFrequency (%)
2017-07 30
100.0%

Length

2023-12-10T23:24:24.261214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:24.372267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-07 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

2023-12-10T23:24:24.483436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:24.572043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 30
100.0%

SIGNGU_NM
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
가평군
18 
광명시
10 
과천시
2 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 18
60.0%
광명시 10
33.3%
과천시 2
 
6.7%

Length

2023-12-10T23:24:24.666087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:24.785380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평군 18
60.0%
광명시 10
33.3%
과천시 2
 
6.7%

ADSTRD_NM
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
소하1동
10 
상면
5 
가평읍
5 
설악면
4 
청평면
2 
Other values (3)
4 

Length

Max length4
Median length3
Mean length3.1333333
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row북면
2nd row상면
3rd row상면
4th row상면
5th row상면

Common Values

ValueCountFrequency (%)
소하1동 10
33.3%
상면 5
16.7%
가평읍 5
16.7%
설악면 4
 
13.3%
청평면 2
 
6.7%
갈현동 2
 
6.7%
북면 1
 
3.3%
조종면 1
 
3.3%

Length

2023-12-10T23:24:24.928837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:25.067956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소하1동 10
33.3%
상면 5
16.7%
가평읍 5
16.7%
설악면 4
 
13.3%
청평면 2
 
6.7%
갈현동 2
 
6.7%
북면 1
 
3.3%
조종면 1
 
3.3%

INDUTY_LCLAS_CODE
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
C
12 
G
11 
F
4 
R
2 
M
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
C 12
40.0%
G 11
36.7%
F 4
 
13.3%
R 2
 
6.7%
M 1
 
3.3%

Length

2023-12-10T23:24:25.242770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:25.345505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 12
40.0%
g 11
36.7%
f 4
 
13.3%
r 2
 
6.7%
m 1
 
3.3%

INDUTY_MLSFC_CODE
Categorical

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
G46
11 
F42
4 
C10
2 
C11
2 
C28
2 
Other values (9)
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st rowC10
2nd rowC10
3rd rowC16
4th rowC25
5th rowC32

Common Values

ValueCountFrequency (%)
G46 11
36.7%
F42 4
 
13.3%
C10 2
 
6.7%
C11 2
 
6.7%
C28 2
 
6.7%
C16 1
 
3.3%
C25 1
 
3.3%
C32 1
 
3.3%
R90 1
 
3.3%
C33 1
 
3.3%
Other values (4) 4
 
13.3%

Length

2023-12-10T23:24:25.438606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g46 11
36.7%
f42 4
 
13.3%
c10 2
 
6.7%
c11 2
 
6.7%
c28 2
 
6.7%
c16 1
 
3.3%
c25 1
 
3.3%
c32 1
 
3.3%
r90 1
 
3.3%
c33 1
 
3.3%
Other values (4) 4
 
13.3%

INDUTY_LCLAS_NM
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
제조업
12 
도매 및 소매업
11 
건설업
4 
예술; 스포츠 및 여가관련 서비스업
2 
전문; 과학 및 기술 서비스업
 
1

Length

Max length19
Median length3
Mean length6.3333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
제조업 12
40.0%
도매 및 소매업 11
36.7%
건설업 4
 
13.3%
예술; 스포츠 및 여가관련 서비스업 2
 
6.7%
전문; 과학 및 기술 서비스업 1
 
3.3%

Length

2023-12-10T23:24:25.543182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:25.641279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 14
21.9%
제조업 12
18.8%
도매 11
17.2%
소매업 11
17.2%
건설업 4
 
6.2%
서비스업 3
 
4.7%
예술 2
 
3.1%
스포츠 2
 
3.1%
여가관련 2
 
3.1%
전문 1
 
1.6%
Other values (2) 2
 
3.1%

INDUTY_MLSFC_NM
Categorical

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
도매 및 상품 중개업
11 
전문직별 공사업
4 
식료품 제조업
2 
음료 제조업
2 
전기장비 제조업
2 
Other values (9)
9 

Length

Max length26
Median length22
Mean length11.233333
Min length6

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row식료품 제조업
2nd row식료품 제조업
3rd row목재 및 나무제품 제조업; 가구 제외
4th row금속가공제품 제조업; 기계 및 가구 제외
5th row가구 제조업

Common Values

ValueCountFrequency (%)
도매 및 상품 중개업 11
36.7%
전문직별 공사업 4
 
13.3%
식료품 제조업 2
 
6.7%
음료 제조업 2
 
6.7%
전기장비 제조업 2
 
6.7%
목재 및 나무제품 제조업; 가구 제외 1
 
3.3%
금속가공제품 제조업; 기계 및 가구 제외 1
 
3.3%
가구 제조업 1
 
3.3%
창작; 예술 및 여가관련 서비스업 1
 
3.3%
기타 제품 제조업 1
 
3.3%
Other values (4) 4
 
13.3%

Length

2023-12-10T23:24:25.753054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 17
16.3%
제조업 12
11.5%
도매 11
10.6%
상품 11
10.6%
중개업 11
10.6%
전문직별 4
 
3.8%
공사업 4
 
3.8%
가구 3
 
2.9%
기타 3
 
2.9%
서비스업 3
 
2.9%
Other values (20) 25
24.0%

PRCSS_ENTRPRS_SE_CODE
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
4
23 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 23
76.7%
3 7
 
23.3%

Length

2023-12-10T23:24:25.860887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:25.939914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 23
76.7%
3 7
 
23.3%

PRCSS_ENTRPRS_SE
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
소기업
23 
중기업
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소기업 23
76.7%
중기업 7
 
23.3%

Length

2023-12-10T23:24:26.023357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:26.099964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 23
76.7%
중기업 7
 
23.3%

PDSMLPZ_SCTN_CODE
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
10
12 
5
9 
1
4 
2
4 
20
 
1

Length

Max length2
Median length1
Mean length1.4333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row10
2nd row10
3rd row10
4th row1
5th row2

Common Values

ValueCountFrequency (%)
10 12
40.0%
5 9
30.0%
1 4
 
13.3%
2 4
 
13.3%
20 1
 
3.3%

Length

2023-12-10T23:24:26.189117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:26.276787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 12
40.0%
5 9
30.0%
1 4
 
13.3%
2 4
 
13.3%
20 1
 
3.3%

PDSMLPZ_SCTN
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
10년 이상 20년 미만
12 
5년 이상 10년 미만
9 
1년 이상 2년 미만
4 
2년 이상 5년 미만
4 
20년 이상 30년 미만
 
1

Length

Max length13
Median length12
Mean length12.166667
Min length11

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row10년 이상 20년 미만
2nd row10년 이상 20년 미만
3rd row10년 이상 20년 미만
4th row1년 이상 2년 미만
5th row2년 이상 5년 미만

Common Values

ValueCountFrequency (%)
10년 이상 20년 미만 12
40.0%
5년 이상 10년 미만 9
30.0%
1년 이상 2년 미만 4
 
13.3%
2년 이상 5년 미만 4
 
13.3%
20년 이상 30년 미만 1
 
3.3%

Length

2023-12-10T23:24:26.379713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:26.476214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이상 30
25.0%
미만 30
25.0%
10년 21
17.5%
20년 13
10.8%
5년 13
10.8%
2년 8
 
6.7%
1년 4
 
3.3%
30년 1
 
0.8%

INSTLM_SE_NM
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
기업부설연구소
18 
연구개발전담부서
12 

Length

Max length8
Median length7
Mean length7.4
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연구개발전담부서
2nd row기업부설연구소
3rd row연구개발전담부서
4th row연구개발전담부서
5th row연구개발전담부서

Common Values

ValueCountFrequency (%)
기업부설연구소 18
60.0%
연구개발전담부서 12
40.0%

Length

2023-12-10T23:24:26.570840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:26.654474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업부설연구소 18
60.0%
연구개발전담부서 12
40.0%

INSTLM_INDUTY_SE
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
전기·전자
9 
기계
6 
식품
4 
기타
3 
금속
2 
Other values (6)
6 

Length

Max length9
Median length2
Mean length3.6333333
Min length2

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row식품
2nd row식품
3rd row소재
4th row금속
5th row기타

Common Values

ValueCountFrequency (%)
전기·전자 9
30.0%
기계 6
20.0%
식품 4
13.3%
기타 3
 
10.0%
금속 2
 
6.7%
소재 1
 
3.3%
문화및사업서비스 1
 
3.3%
공학(엔지니어링) 1
 
3.3%
산업디자인 1
 
3.3%
SW개발공급 1
 
3.3%

Length

2023-12-10T23:24:26.752560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전기·전자 9
30.0%
기계 6
20.0%
식품 4
13.3%
기타 3
 
10.0%
금속 2
 
6.7%
소재 1
 
3.3%
문화및사업서비스 1
 
3.3%
공학(엔지니어링 1
 
3.3%
산업디자인 1
 
3.3%
sw개발공급 1
 
3.3%

TOT_ENTRPRS_CO
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
29 
2
 
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%
2 1
 
3.3%

Length

2023-12-10T23:24:26.860351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:26.941124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
96.7%
2 1
 
3.3%

SELNG_AVRG_AM
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean6878476.1
Minimum83876
Maximum23144037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:24:27.022471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83876
5-th percentile324741.8
Q11770722
median4566743
Q39548576
95-th percentile20265022
Maximum23144037
Range23060161
Interquartile range (IQR)7777854

Descriptive statistics

Standard deviation6633886.4
Coefficient of variation (CV)0.96444129
Kurtosis0.47569156
Mean6878476.1
Median Absolute Deviation (MAD)3550103
Skewness1.14273
Sum1.719619 × 108
Variance4.4008448 × 1013
MonotonicityNot monotonic
2023-12-10T23:24:27.134854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3709888 1
 
3.3%
4566743 1
 
3.3%
2125209 1
 
3.3%
2628304 1
 
3.3%
4464904 1
 
3.3%
1770722 1
 
3.3%
23144037 1
 
3.3%
16869110 1
 
3.3%
12377604 1
 
3.3%
7715243 1
 
3.3%
Other values (15) 15
50.0%
(Missing) 5
 
16.7%
ValueCountFrequency (%)
83876 1
3.3%
253874 1
3.3%
608213 1
3.3%
682788 1
3.3%
943509 1
3.3%
1016640 1
3.3%
1770722 1
3.3%
2125209 1
3.3%
2628304 1
3.3%
3709888 1
3.3%
ValueCountFrequency (%)
23144037 1
3.3%
21114000 1
3.3%
16869110 1
3.3%
15886327 1
3.3%
12418440 1
3.3%
12377604 1
3.3%
9548576 1
3.3%
7989513 1
3.3%
7715243 1
3.3%
6734155 1
3.3%

BSN_PROFIT_AVRG_AM
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean499576.22
Minimum-1080737
Maximum4060516
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)6.7%
Memory size402.0 B
2023-12-10T23:24:27.291212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1080737
5-th percentile-61402.6
Q189277
median300205
Q3628508
95-th percentile1523449.6
Maximum4060516
Range5141253
Interquartile range (IQR)539231

Descriptive statistics

Standard deviation894058.86
Coefficient of variation (CV)1.7896345
Kurtosis10.759405
Mean499576.22
Median Absolute Deviation (MAD)258437
Skewness2.6746375
Sum12489406
Variance7.9934124 × 1011
MonotonicityNot monotonic
2023-12-10T23:24:27.408292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
288739.0 1
 
3.3%
492819.0 1
 
3.3%
266232.0 1
 
3.3%
352593.0 1
 
3.3%
49076.0 1
 
3.3%
95687.0 1
 
3.3%
1588727.0 1
 
3.3%
692850.5 1
 
3.3%
300205.0 1
 
3.3%
180108.0 1
 
3.3%
Other values (15) 15
50.0%
(Missing) 5
 
16.7%
ValueCountFrequency (%)
-1080737.0 1
3.3%
-81243.0 1
3.3%
17959.0 1
3.3%
19011.0 1
3.3%
41768.0 1
3.3%
49076.0 1
3.3%
89277.0 1
3.3%
95687.0 1
3.3%
172065.0 1
3.3%
180108.0 1
3.3%
ValueCountFrequency (%)
4060516.0 1
3.3%
1588727.0 1
3.3%
1262340.0 1
3.3%
950580.0 1
3.3%
692850.5 1
3.3%
667000.0 1
3.3%
628508.0 1
3.3%
620015.0 1
3.3%
492819.0 1
3.3%
469896.0 1
3.3%

RSDV_AVRG_AM
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing9
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean247766.19
Minimum157
Maximum1843320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:24:27.518692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157
5-th percentile1115
Q178401
median119497
Q3184921
95-th percentile616822
Maximum1843320
Range1843163
Interquartile range (IQR)106520

Descriptive statistics

Standard deviation399580.61
Coefficient of variation (CV)1.6127326
Kurtosis13.768179
Mean247766.19
Median Absolute Deviation (MAD)53503
Skewness3.5206082
Sum5203090
Variance1.5966466 × 1011
MonotonicityNot monotonic
2023-12-10T23:24:27.668893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
159777 1
 
3.3%
162123 1
 
3.3%
61141 1
 
3.3%
91639 1
 
3.3%
616822 1
 
3.3%
63217 1
 
3.3%
1843320 1
 
3.3%
514177 1
 
3.3%
119403 1
 
3.3%
79000 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 9
30.0%
ValueCountFrequency (%)
157 1
3.3%
1115 1
3.3%
61141 1
3.3%
63217 1
3.3%
66800 1
3.3%
78401 1
3.3%
79000 1
3.3%
81300 1
3.3%
91639 1
3.3%
119403 1
3.3%
ValueCountFrequency (%)
1843320 1
3.3%
616822 1
3.3%
514177 1
3.3%
442610 1
3.3%
186434 1
3.3%
184921 1
3.3%
173000 1
3.3%
162123 1
3.3%
159777 1
3.3%
158236 1
3.3%

EMPLY_AVRG_CO
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)76.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean19.4
Minimum2
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:24:27.787910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median16
Q324
95-th percentile38.6
Maximum110
Range108
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.542593
Coefficient of variation (CV)1.110443
Kurtosis13.48599
Mean19.4
Median Absolute Deviation (MAD)9
Skewness3.3179785
Sum485
Variance464.08333
MonotonicityNot monotonic
2023-12-10T23:24:27.907032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16 3
 
10.0%
7 3
 
10.0%
8 2
 
6.7%
4 2
 
6.7%
17 1
 
3.3%
2 1
 
3.3%
31 1
 
3.3%
5 1
 
3.3%
40 1
 
3.3%
25 1
 
3.3%
Other values (9) 9
30.0%
(Missing) 5
16.7%
ValueCountFrequency (%)
2 1
 
3.3%
4 2
6.7%
5 1
 
3.3%
7 3
10.0%
8 2
6.7%
9 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
16 3
10.0%
17 1
 
3.3%
ValueCountFrequency (%)
110 1
3.3%
40 1
3.3%
33 1
3.3%
32 1
3.3%
31 1
3.3%
25 1
3.3%
24 1
3.3%
22 1
3.3%
18 1
3.3%
17 1
3.3%

ANSLRY_AVRG_AM
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean32847779
Minimum0
Maximum52095590
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:24:28.029253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20309915
Q128442333
median32642925
Q339993037
95-th percentile43762414
Maximum52095590
Range52095590
Interquartile range (IQR)11550704

Descriptive statistics

Standard deviation10412434
Coefficient of variation (CV)0.31699051
Kurtosis3.0276986
Mean32847779
Median Absolute Deviation (MAD)5917058
Skewness-1.1124749
Sum8.2119446 × 108
Variance1.0841879 × 1014
MonotonicityNot monotonic
2023-12-10T23:24:28.171053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20297600 1
 
3.3%
31911273 1
 
3.3%
42719619 1
 
3.3%
43653037 1
 
3.3%
41689143 1
 
3.3%
52095590 1
 
3.3%
28442333 1
 
3.3%
41606869 1
 
3.3%
43789758 1
 
3.3%
39569222 1
 
3.3%
Other values (15) 15
50.0%
(Missing) 5
 
16.7%
ValueCountFrequency (%)
0 1
3.3%
20297600 1
3.3%
20359176 1
3.3%
23912500 1
3.3%
26725867 1
3.3%
27936784 1
3.3%
28442333 1
3.3%
29176381 1
3.3%
29240667 1
3.3%
29972333 1
3.3%
ValueCountFrequency (%)
52095590 1
3.3%
43789758 1
3.3%
43653037 1
3.3%
42719619 1
3.3%
41689143 1
3.3%
41606869 1
3.3%
39993037 1
3.3%
39569222 1
3.3%
38211333 1
3.3%
36246250 1
3.3%

ECNY_AVRG_CO
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
15 
<NA>
5 
1
4 
3
3 
2
2 

Length

Max length4
Median length1
Mean length1.5
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
50.0%
<NA> 5
 
16.7%
1 4
 
13.3%
3 3
 
10.0%
2 2
 
6.7%
4 1
 
3.3%

Length

2023-12-10T23:24:28.292842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:28.413422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
50.0%
na 5
 
16.7%
1 4
 
13.3%
3 3
 
10.0%
2 2
 
6.7%
4 1
 
3.3%

RETIRER_AVRG_CO
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)24.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean0.54
Minimum0
Maximum4
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:24:28.534081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.8
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0400321
Coefficient of variation (CV)1.9259853
Kurtosis5.0989682
Mean0.54
Median Absolute Deviation (MAD)0
Skewness2.3001137
Sum13.5
Variance1.0816667
MonotonicityNot monotonic
2023-12-10T23:24:28.662352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 17
56.7%
1.0 4
 
13.3%
4.0 1
 
3.3%
2.0 1
 
3.3%
3.0 1
 
3.3%
0.5 1
 
3.3%
(Missing) 5
 
16.7%
ValueCountFrequency (%)
0.0 17
56.7%
0.5 1
 
3.3%
1.0 4
 
13.3%
2.0 1
 
3.3%
3.0 1
 
3.3%
4.0 1
 
3.3%
ValueCountFrequency (%)
4.0 1
 
3.3%
3.0 1
 
3.3%
2.0 1
 
3.3%
1.0 4
 
13.3%
0.5 1
 
3.3%
0.0 17
56.7%

REGIST_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-10-28
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-28
2nd row2020-10-28
3rd row2020-10-28
4th row2020-10-28
5th row2020-10-28

Common Values

ValueCountFrequency (%)
2020-10-28 30
100.0%

Length

2023-12-10T23:24:28.790630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:28.879134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-28 30
100.0%

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

2023-12-10T23:24:28.969925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:29.055461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kedsys 30
100.0%

Sample

STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SEPDSMLPZ_SCTN_CODEPDSMLPZ_SCTNINSTLM_SE_NMINSTLM_INDUTY_SETOT_ENTRPRS_COSELNG_AVRG_AMBSN_PROFIT_AVRG_AMRSDV_AVRG_AMEMPLY_AVRG_COANSLRY_AVRG_AMECNY_AVRG_CORETIRER_AVRG_COREGIST_DEOPERTOR_NM
02017-07경기가평군북면CC10제조업식료품 제조업3중기업1010년 이상 20년 미만연구개발전담부서식품115886327628508.0784011102035917624.02020-10-28KEDSYS
12017-07경기가평군상면CC10제조업식료품 제조업4소기업1010년 이상 20년 미만기업부설연구소식품13709888288739.0<NA>252029760002.02020-10-28KEDSYS
22017-07경기가평군상면CC16제조업목재 및 나무제품 제조업; 가구 제외4소기업1010년 이상 20년 미만연구개발전담부서소재1<NA><NA><NA>2000.02020-10-28KEDSYS
32017-07경기가평군상면CC25제조업금속가공제품 제조업; 기계 및 가구 제외4소기업11년 이상 2년 미만연구개발전담부서금속194350917959.0<NA>43528600000.02020-10-28KEDSYS
42017-07경기가평군상면CC32제조업가구 제조업4소기업22년 이상 5년 미만연구개발전담부서기타1124184401262340.0159777163048316701.02020-10-28KEDSYS
52017-07경기가평군상면RR90예술; 스포츠 및 여가관련 서비스업창작; 예술 및 여가관련 서비스업3중기업1010년 이상 20년 미만기업부설연구소문화및사업서비스195485764060516.0119497<NA><NA><NA><NA>2020-10-28KEDSYS
62017-07경기가평군가평읍CC11제조업음료 제조업4소기업1010년 이상 20년 미만연구개발전담부서식품14721336950580.0157172793678430.02020-10-28KEDSYS
72017-07경기가평군가평읍CC33제조업기타 제품 제조업4소기업55년 이상 10년 미만기업부설연구소기계168278819011.06680072917638100.02020-10-28KEDSYS
82017-07경기가평군가평읍FF42건설업전문직별 공사업4소기업11년 이상 2년 미만기업부설연구소전기·전자183876-81243.0<NA><NA><NA><NA><NA>2020-10-28KEDSYS
92017-07경기가평군가평읍FF42건설업전문직별 공사업4소기업55년 이상 10년 미만연구개발전담부서전기·전자16528604620015.018492142924066710.02020-10-28KEDSYS
STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SEPDSMLPZ_SCTN_CODEPDSMLPZ_SCTNINSTLM_SE_NMINSTLM_INDUTY_SETOT_ENTRPRS_COSELNG_AVRG_AMBSN_PROFIT_AVRG_AMRSDV_AVRG_AMEMPLY_AVRG_COANSLRY_AVRG_AMECNY_AVRG_CORETIRER_AVRG_COREGIST_DEOPERTOR_NM
202017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업3중기업55년 이상 10년 미만연구개발전담부서기타17715243180108.079000323624625040.02020-10-28KEDSYS
212017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업3중기업1010년 이상 20년 미만기업부설연구소SW개발공급112377604300205.0119403243956922210.02020-10-28KEDSYS
222017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업3중기업1010년 이상 20년 미만기업부설연구소전기·전자216869110692850.5514177224378975810.52020-10-28KEDSYS
232017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업3중기업2020년 이상 30년 미만기업부설연구소전기·전자1231440371588727.01843320334160686931.02020-10-28KEDSYS
242017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업4소기업11년 이상 2년 미만기업부설연구소생명과학1177072295687.06321782844233301.02020-10-28KEDSYS
252017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업4소기업11년 이상 2년 미만기업부설연구소전기·전자1446490449076.0616822135209559000.02020-10-28KEDSYS
262017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업4소기업22년 이상 5년 미만연구개발전담부서전기·전자12628304352593.09163974168914300.02020-10-28KEDSYS
272017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업4소기업55년 이상 10년 미만기업부설연구소기계1<NA><NA><NA>94365303700.02020-10-28KEDSYS
282017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업4소기업55년 이상 10년 미만연구개발전담부서기계12125209266232.06114174271961900.02020-10-28KEDSYS
292017-07경기광명시소하1동GG46도매 및 소매업도매 및 상품 중개업4소기업1010년 이상 20년 미만기업부설연구소기계14566743492819.0162123113191127330.02020-10-28KEDSYS