Overview

Dataset statistics

Number of variables26
Number of observations100
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory223.3 B

Variable types

DateTime2
Categorical11
Numeric13

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/6fdd6b59-9e1a-4e43-ae5b-3a9d64f05157

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
ENTRPRS_SCALE is highly imbalanced (55.2%)Imbalance
ENTRPRS_SCALE_NM is highly imbalanced (55.2%)Imbalance
WAGE_AVRG_AM has 2 (2.0%) missing valuesMissing
PDSMLPZ_SCTN_CODE has 10 (10.0%) zerosZeros
EMPLY_CO has 2 (2.0%) zerosZeros
EMPLY_AVRG_CO has 2 (2.0%) zerosZeros
EMPYMN_MAN_CO has 70 (70.0%) zerosZeros
EMPYMN_MAN_AVRG_CO has 70 (70.0%) zerosZeros
RETIRER_CO has 64 (64.0%) zerosZeros
RETIRER_AVRG_CO has 64 (64.0%) zerosZeros
WAGE_AVRG_AM has 11 (11.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:57:06.723663
Analysis finished2023-12-10 13:57:07.587065
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STDR_YM
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2016-01-01 00:00:00
Maximum2016-01-01 00:00:00
2023-12-10T22:57:07.674262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:07.863486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

CTPRVN_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기
100 

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 100
100.0%

Length

2023-12-10T22:57:08.075102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:08.208821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 100
100.0%

SIGNGU_NM
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
과천시
31 
광주시
29 
가평군
25 
광명시
15 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과천시 31
31.0%
광주시 29
29.0%
가평군 25
25.0%
광명시 15
15.0%

Length

2023-12-10T22:57:08.439626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:08.612427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과천시 31
31.0%
광주시 29
29.0%
가평군 25
25.0%
광명시 15
15.0%

ADSTRD_NM
Categorical

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
과천동
19 
광남동
18 
경안동
11 
가평읍
7 
하안1동
6 
Other values (11)
39 

Length

Max length4
Median length3
Mean length3.1
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row하안1동
2nd row하안1동
3rd row하안1동
4th row하안1동
5th row하안1동

Common Values

ValueCountFrequency (%)
과천동 19
19.0%
광남동 18
18.0%
경안동 11
11.0%
가평읍 7
 
7.0%
하안1동 6
 
6.0%
하안3동 6
 
6.0%
청평면 6
 
6.0%
설악면 5
 
5.0%
별양동 5
 
5.0%
갈현동 4
 
4.0%
Other values (6) 13
13.0%

Length

2023-12-10T22:57:08.865071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
과천동 19
19.0%
광남동 18
18.0%
경안동 11
11.0%
가평읍 7
 
7.0%
하안1동 6
 
6.0%
하안3동 6
 
6.0%
청평면 6
 
6.0%
설악면 5
 
5.0%
별양동 5
 
5.0%
갈현동 4
 
4.0%
Other values (6) 13
13.0%

INDUTY_LCLAS_CODE
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
C
29 
F
20 
G
13 
I
5 
P
4 
Other values (12)
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
C 29
29.0%
F 20
20.0%
G 13
13.0%
I 5
 
5.0%
P 4
 
4.0%
L 4
 
4.0%
J 4
 
4.0%
S 3
 
3.0%
M 3
 
3.0%
H 3
 
3.0%
Other values (7) 12
12.0%

Length

2023-12-10T22:57:09.164711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c 29
29.0%
f 20
20.0%
g 13
13.0%
i 5
 
5.0%
p 4
 
4.0%
l 4
 
4.0%
j 4
 
4.0%
h 3
 
3.0%
n 3
 
3.0%
m 3
 
3.0%
Other values (7) 12
12.0%

INDUTY_MLSFC_CODE
Categorical

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
F42
10 
F41
10 
G46
8 
C10
 
4
C33
 
4
Other values (37)
64 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique20 ?
Unique (%)20.0%

Sample

1st rowC10
2nd rowF41
3rd rowF42
4th rowG45
5th rowH52

Common Values

ValueCountFrequency (%)
F42 10
 
10.0%
F41 10
 
10.0%
G46 8
 
8.0%
C10 4
 
4.0%
C33 4
 
4.0%
P85 4
 
4.0%
L68 4
 
4.0%
C22 3
 
3.0%
J58 3
 
3.0%
G45 3
 
3.0%
Other values (32) 47
47.0%

Length

2023-12-10T22:57:09.425074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
f42 10
 
10.0%
f41 10
 
10.0%
g46 8
 
8.0%
c10 4
 
4.0%
c33 4
 
4.0%
p85 4
 
4.0%
l68 4
 
4.0%
i55 3
 
3.0%
c29 3
 
3.0%
c28 3
 
3.0%
Other values (32) 47
47.0%

INDUTY_LCLAS_NM
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
제조업
29 
건설업
20 
도매 및 소매업
13 
숙박 및 음식점업
5 
교육 서비스업
4 
Other values (12)
29 

Length

Max length24
Median length23
Mean length6.92
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조업 29
29.0%
건설업 20
20.0%
도매 및 소매업 13
13.0%
숙박 및 음식점업 5
 
5.0%
교육 서비스업 4
 
4.0%
부동산업 4
 
4.0%
정보통신업 4
 
4.0%
협회 및 단체; 수리 및 기타 개인 서비스업 3
 
3.0%
전문; 과학 및 기술 서비스업 3
 
3.0%
운수 및 창고업 3
 
3.0%
Other values (7) 12
12.0%

Length

2023-12-10T22:57:09.786530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 41
18.3%
제조업 29
 
12.9%
건설업 20
 
8.9%
서비스업 16
 
7.1%
도매 13
 
5.8%
소매업 13
 
5.8%
숙박 5
 
2.2%
음식점업 5
 
2.2%
정보통신업 4
 
1.8%
부동산업 4
 
1.8%
Other values (33) 74
33.0%

INDUTY_MLSFC_NM
Categorical

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전문직별 공사업
10 
종합 건설업
10 
도매 및 상품 중개업
8 
식료품 제조업
 
4
기타 제품 제조업
 
4
Other values (37)
64 

Length

Max length26
Median length19
Mean length9.72
Min length2

Unique

Unique20 ?
Unique (%)20.0%

Sample

1st row식료품 제조업
2nd row종합 건설업
3rd row전문직별 공사업
4th row자동차 및 부품 판매업
5th row창고 및 운송관련 서비스업

Common Values

ValueCountFrequency (%)
전문직별 공사업 10
 
10.0%
종합 건설업 10
 
10.0%
도매 및 상품 중개업 8
 
8.0%
식료품 제조업 4
 
4.0%
기타 제품 제조업 4
 
4.0%
교육 서비스업 4
 
4.0%
부동산업 4
 
4.0%
고무 및 플라스틱제품 제조업 3
 
3.0%
출판업 3
 
3.0%
자동차 및 부품 판매업 3
 
3.0%
Other values (32) 47
47.0%

Length

2023-12-10T22:57:10.054117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 37
 
12.8%
제조업 29
 
10.0%
서비스업 13
 
4.5%
전문직별 10
 
3.4%
공사업 10
 
3.4%
기타 10
 
3.4%
건설업 10
 
3.4%
종합 10
 
3.4%
상품 8
 
2.8%
중개업 8
 
2.8%
Other values (75) 145
50.0%

ENTRPRS_SCALE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4
76 
3
19 
2
 
3
98
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.01
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 76
76.0%
3 19
 
19.0%
2 3
 
3.0%
98 1
 
1.0%
1 1
 
1.0%

Length

2023-12-10T22:57:11.216747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:11.544843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 76
76.0%
3 19
 
19.0%
2 3
 
3.0%
98 1
 
1.0%
1 1
 
1.0%

ENTRPRS_SCALE_NM
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
소기업
76 
중기업
19 
중견기업
 
3
판단제외
 
1
대기업
 
1

Length

Max length4
Median length3
Mean length3.04
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
소기업 76
76.0%
중기업 19
 
19.0%
중견기업 3
 
3.0%
판단제외 1
 
1.0%
대기업 1
 
1.0%

Length

2023-12-10T22:57:11.921205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:12.155695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 76
76.0%
중기업 19
 
19.0%
중견기업 3
 
3.0%
판단제외 1
 
1.0%
대기업 1
 
1.0%

PDSMLPZ_SCTN_CODE
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.91
Minimum0
Maximum50
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:12.416659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile20
Maximum50
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.9826938
Coefficient of variation (CV)1.1356124
Kurtosis8.5290509
Mean7.91
Median Absolute Deviation (MAD)5
Skewness2.5082621
Sum791
Variance80.688788
MonotonicityNot monotonic
2023-12-10T22:57:12.663862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 29
29.0%
2 22
22.0%
5 18
18.0%
0 10
 
10.0%
20 10
 
10.0%
1 7
 
7.0%
30 2
 
2.0%
50 2
 
2.0%
ValueCountFrequency (%)
0 10
 
10.0%
1 7
 
7.0%
2 22
22.0%
5 18
18.0%
10 29
29.0%
20 10
 
10.0%
30 2
 
2.0%
50 2
 
2.0%
ValueCountFrequency (%)
50 2
 
2.0%
30 2
 
2.0%
20 10
 
10.0%
10 29
29.0%
5 18
18.0%
2 22
22.0%
1 7
 
7.0%
0 10
 
10.0%

PDSMLPZ_SCTN_NM
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
10년 이상 20년 미만
29 
2년 이상 5년 미만
22 
5년 이상 10년 미만
18 
1년 미만
10 
20년 이상 30년 미만
10 
Other values (3)
11 

Length

Max length13
Median length12
Mean length11.44
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년 미만
2nd row30년 이상 40년 미만
3rd row10년 이상 20년 미만
4th row30년 이상 40년 미만
5th row10년 이상 20년 미만

Common Values

ValueCountFrequency (%)
10년 이상 20년 미만 29
29.0%
2년 이상 5년 미만 22
22.0%
5년 이상 10년 미만 18
18.0%
1년 미만 10
 
10.0%
20년 이상 30년 미만 10
 
10.0%
1년 이상 2년 미만 7
 
7.0%
30년 이상 40년 미만 2
 
2.0%
50년 이상 60년 미만 2
 
2.0%

Length

2023-12-10T22:57:12.892475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:13.119804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 100
26.3%
이상 90
23.7%
10년 47
12.4%
5년 40
 
10.5%
20년 39
 
10.3%
2년 29
 
7.6%
1년 17
 
4.5%
30년 12
 
3.2%
40년 2
 
0.5%
50년 2
 
0.5%

TOT_ENTRPRS_CO
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:13.367077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7.05
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8586216
Coefficient of variation (CV)1.3612484
Kurtosis19.527134
Mean2.1
Median Absolute Deviation (MAD)0
Skewness4.1516567
Sum210
Variance8.1717172
MonotonicityNot monotonic
2023-12-10T22:57:13.562125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 67
67.0%
2 15
 
15.0%
3 9
 
9.0%
4 2
 
2.0%
14 1
 
1.0%
8 1
 
1.0%
11 1
 
1.0%
20 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
ValueCountFrequency (%)
1 67
67.0%
2 15
 
15.0%
3 9
 
9.0%
4 2
 
2.0%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
20 1
 
1.0%
14 1
 
1.0%
12 1
 
1.0%
11 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
4 2
 
2.0%
3 9
9.0%
2 15
15.0%

EMPLY_CO
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.19
Minimum0
Maximum451
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:13.814651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median12
Q325.25
95-th percentile95.1
Maximum451
Range451
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation55.226566
Coefficient of variation (CV)2.0311352
Kurtosis37.054164
Mean27.19
Median Absolute Deviation (MAD)8
Skewness5.4856795
Sum2719
Variance3049.9736
MonotonicityNot monotonic
2023-12-10T22:57:14.097993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
7 6
 
6.0%
2 6
 
6.0%
4 6
 
6.0%
9 5
 
5.0%
3 5
 
5.0%
1 5
 
5.0%
6 5
 
5.0%
13 4
 
4.0%
12 4
 
4.0%
10 3
 
3.0%
Other values (34) 51
51.0%
ValueCountFrequency (%)
0 2
 
2.0%
1 5
5.0%
2 6
6.0%
3 5
5.0%
4 6
6.0%
5 2
 
2.0%
6 5
5.0%
7 6
6.0%
8 2
 
2.0%
9 5
5.0%
ValueCountFrequency (%)
451 1
1.0%
240 1
1.0%
161 1
1.0%
118 1
1.0%
97 1
1.0%
95 1
1.0%
92 1
1.0%
90 1
1.0%
68 1
1.0%
59 1
1.0%

EMPLY_AVRG_CO
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.8408
Minimum0
Maximum451
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:14.334499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.9175
median7
Q314.73
95-th percentile58.05
Maximum451
Range451
Interquartile range (IQR)10.8125

Descriptive statistics

Standard deviation47.773576
Coefficient of variation (CV)2.677771
Kurtosis69.792574
Mean17.8408
Median Absolute Deviation (MAD)4.165
Skewness7.8580897
Sum1784.08
Variance2282.3146
MonotonicityNot monotonic
2023-12-10T22:57:14.563737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 9
 
9.0%
4.0 7
 
7.0%
7.0 7
 
7.0%
1.0 5
 
5.0%
2.0 5
 
5.0%
9.0 4
 
4.0%
13.0 4
 
4.0%
5.0 3
 
3.0%
6.0 3
 
3.0%
10.0 3
 
3.0%
Other values (42) 50
50.0%
ValueCountFrequency (%)
0.0 2
 
2.0%
0.5 1
 
1.0%
1.0 5
5.0%
2.0 5
5.0%
2.67 1
 
1.0%
3.0 9
9.0%
3.58 1
 
1.0%
3.67 1
 
1.0%
4.0 7
7.0%
4.33 1
 
1.0%
ValueCountFrequency (%)
451.0 1
1.0%
118.0 1
1.0%
95.0 1
1.0%
90.0 1
1.0%
59.0 1
1.0%
58.0 1
1.0%
43.0 1
1.0%
39.0 1
1.0%
34.0 2
2.0%
32.0 1
1.0%

EMPYMN_MAN_CO
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94
Minimum0
Maximum14
Zeros70
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:14.771444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3648093
Coefficient of variation (CV)2.5157546
Kurtosis15.270507
Mean0.94
Median Absolute Deviation (MAD)0
Skewness3.7485752
Sum94
Variance5.5923232
MonotonicityNot monotonic
2023-12-10T22:57:14.921729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 70
70.0%
1 14
 
14.0%
2 6
 
6.0%
4 3
 
3.0%
9 2
 
2.0%
3 2
 
2.0%
6 1
 
1.0%
12 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
0 70
70.0%
1 14
 
14.0%
2 6
 
6.0%
3 2
 
2.0%
4 3
 
3.0%
6 1
 
1.0%
9 2
 
2.0%
12 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
14 1
 
1.0%
12 1
 
1.0%
9 2
 
2.0%
6 1
 
1.0%
4 3
 
3.0%
3 2
 
2.0%
2 6
 
6.0%
1 14
 
14.0%
0 70
70.0%

EMPYMN_MAN_AVRG_CO
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6669
Minimum0
Maximum12
Zeros70
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:15.094352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.395
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)0.395

Descriptive statistics

Standard deviation1.9048687
Coefficient of variation (CV)2.8563033
Kurtosis19.097869
Mean0.6669
Median Absolute Deviation (MAD)0
Skewness4.2168331
Sum66.69
Variance3.6285246
MonotonicityNot monotonic
2023-12-10T22:57:15.282418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 70
70.0%
1.0 10
 
10.0%
2.0 4
 
4.0%
0.5 3
 
3.0%
9.0 2
 
2.0%
4.0 2
 
2.0%
6.0 1
 
1.0%
1.5 1
 
1.0%
12.0 1
 
1.0%
0.67 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
0.0 70
70.0%
0.1 1
 
1.0%
0.14 1
 
1.0%
0.17 1
 
1.0%
0.25 1
 
1.0%
0.36 1
 
1.0%
0.5 3
 
3.0%
0.67 1
 
1.0%
1.0 10
 
10.0%
1.5 1
 
1.0%
ValueCountFrequency (%)
12.0 1
 
1.0%
9.0 2
 
2.0%
6.0 1
 
1.0%
4.0 2
 
2.0%
2.0 4
 
4.0%
1.5 1
 
1.0%
1.0 10
10.0%
0.67 1
 
1.0%
0.5 3
 
3.0%
0.36 1
 
1.0%

RETIRER_CO
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77
Minimum0
Maximum7
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:15.499054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4414849
Coefficient of variation (CV)1.8720583
Kurtosis7.4091933
Mean0.77
Median Absolute Deviation (MAD)0
Skewness2.6020771
Sum77
Variance2.0778788
MonotonicityNot monotonic
2023-12-10T22:57:15.702503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 64
64.0%
1 19
 
19.0%
2 7
 
7.0%
3 4
 
4.0%
4 3
 
3.0%
7 2
 
2.0%
6 1
 
1.0%
ValueCountFrequency (%)
0 64
64.0%
1 19
 
19.0%
2 7
 
7.0%
3 4
 
4.0%
4 3
 
3.0%
6 1
 
1.0%
7 2
 
2.0%
ValueCountFrequency (%)
7 2
 
2.0%
6 1
 
1.0%
4 3
 
3.0%
3 4
 
4.0%
2 7
 
7.0%
1 19
 
19.0%
0 64
64.0%

RETIRER_AVRG_CO
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5268
Minimum0
Maximum6
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:15.884494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.69
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0.69

Descriptive statistics

Standard deviation1.0768865
Coefficient of variation (CV)2.0442037
Kurtosis8.6433973
Mean0.5268
Median Absolute Deviation (MAD)0
Skewness2.8021636
Sum52.68
Variance1.1596846
MonotonicityNot monotonic
2023-12-10T22:57:16.131597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 64
64.0%
1.0 13
 
13.0%
2.0 4
 
4.0%
4.0 3
 
3.0%
3.0 3
 
3.0%
0.5 2
 
2.0%
0.67 2
 
2.0%
6.0 1
 
1.0%
0.33 1
 
1.0%
0.13 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 64
64.0%
0.08 1
 
1.0%
0.1 1
 
1.0%
0.13 1
 
1.0%
0.14 1
 
1.0%
0.17 1
 
1.0%
0.33 1
 
1.0%
0.5 2
 
2.0%
0.64 1
 
1.0%
0.67 2
 
2.0%
ValueCountFrequency (%)
6.0 1
 
1.0%
4.0 3
 
3.0%
3.0 3
 
3.0%
2.0 4
 
4.0%
1.0 13
13.0%
0.75 1
 
1.0%
0.67 2
 
2.0%
0.64 1
 
1.0%
0.5 2
 
2.0%
0.33 1
 
1.0%

WAGE_AVRG_AM
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)89.8%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean21714704
Minimum0
Maximum47816326
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:16.379904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115840873
median23711276
Q329067030
95-th percentile38967363
Maximum47816326
Range47816326
Interquartile range (IQR)13226157

Descriptive statistics

Standard deviation11282679
Coefficient of variation (CV)0.51958706
Kurtosis-0.22767924
Mean21714704
Median Absolute Deviation (MAD)6977171.5
Skewness-0.41243168
Sum2.128041 × 109
Variance1.2729886 × 1014
MonotonicityNot monotonic
2023-12-10T22:57:16.584107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
47816326.0 1
 
1.0%
33170000.0 1
 
1.0%
30928762.0 1
 
1.0%
24814039.0 1
 
1.0%
30364844.5 1
 
1.0%
38614237.0 1
 
1.0%
15150000.0 1
 
1.0%
22362133.0 1
 
1.0%
18918519.0 1
 
1.0%
Other values (78) 78
78.0%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
0.0 11
11.0%
3535111.0 1
 
1.0%
5178133.33 1
 
1.0%
5916000.0 1
 
1.0%
6953086.33 1
 
1.0%
10791216.0 1
 
1.0%
12000000.0 1
 
1.0%
12272667.0 1
 
1.0%
13261657.73 1
 
1.0%
13720889.33 1
 
1.0%
ValueCountFrequency (%)
47816326.0 1
1.0%
42493333.0 1
1.0%
41156191.0 1
1.0%
40172667.0 1
1.0%
39889956.0 1
1.0%
38804553.0 1
1.0%
38614237.0 1
1.0%
36301490.0 1
1.0%
34878095.5 1
1.0%
33761867.0 1
1.0%

POPLTN_CO
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21816.7
Minimum3999
Maximum44495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:16.717056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3999
5-th percentile7167.25
Q18604
median16008
Q335452
95-th percentile44495
Maximum44495
Range40496
Interquartile range (IQR)26848

Descriptive statistics

Standard deviation13851.672
Coefficient of variation (CV)0.6349114
Kurtosis-1.1913404
Mean21816.7
Median Absolute Deviation (MAD)7404
Skewness0.54627286
Sum2181670
Variance1.9186881 × 108
MonotonicityNot monotonic
2023-12-10T22:57:16.857121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
8604 19
19.0%
44495 18
18.0%
35452 11
11.0%
19717 7
 
7.0%
14565 6
 
6.0%
28307 6
 
6.0%
23329 6
 
6.0%
8647 5
 
5.0%
15865 5
 
5.0%
14422 4
 
4.0%
Other values (6) 13
13.0%
ValueCountFrequency (%)
3999 2
 
2.0%
5291 3
 
3.0%
7266 3
 
3.0%
8604 19
19.0%
8647 5
 
5.0%
9791 2
 
2.0%
14286 1
 
1.0%
14422 4
 
4.0%
14565 6
 
6.0%
15865 5
 
5.0%
ValueCountFrequency (%)
44495 18
18.0%
35452 11
11.0%
28307 6
 
6.0%
23329 6
 
6.0%
19717 7
 
7.0%
16151 2
 
2.0%
15865 5
 
5.0%
14565 6
 
6.0%
14422 4
 
4.0%
14286 1
 
1.0%

AGRDE_CO
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8576.7
Minimum2094
Maximum16553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:17.017138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2094
5-th percentile2774.2
Q13878
median7027
Q314111
95-th percentile16553
Maximum16553
Range14459
Interquartile range (IQR)10233

Descriptive statistics

Standard deviation5006.2352
Coefficient of variation (CV)0.5837018
Kurtosis-1.2591218
Mean8576.7
Median Absolute Deviation (MAD)3149
Skewness0.5110704
Sum857670
Variance25062391
MonotonicityNot monotonic
2023-12-10T22:57:17.184402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3878 19
19.0%
16553 18
18.0%
14111 11
11.0%
8818 7
 
7.0%
7027 6
 
6.0%
9845 6
 
6.0%
8936 6
 
6.0%
4174 5
 
5.0%
5301 5
 
5.0%
5053 4
 
4.0%
Other values (6) 13
13.0%
ValueCountFrequency (%)
2094 2
 
2.0%
2664 3
 
3.0%
2780 3
 
3.0%
3828 2
 
2.0%
3878 19
19.0%
4174 5
 
5.0%
5053 4
 
4.0%
5080 1
 
1.0%
5301 5
 
5.0%
6698 2
 
2.0%
ValueCountFrequency (%)
16553 18
18.0%
14111 11
11.0%
9845 6
 
6.0%
8936 6
 
6.0%
8818 7
 
7.0%
7027 6
 
6.0%
6698 2
 
2.0%
5301 5
 
5.0%
5080 1
 
1.0%
5053 4
 
4.0%

MALE_CO
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11049.16
Minimum2031
Maximum22817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:17.363066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2031
5-th percentile3467.35
Q14447
median7722.5
Q318119
95-th percentile22817
Maximum22817
Range20786
Interquartile range (IQR)13672

Descriptive statistics

Standard deviation7111.6587
Coefficient of variation (CV)0.64363795
Kurtosis-1.1548281
Mean11049.16
Median Absolute Deviation (MAD)3319.5
Skewness0.59290953
Sum1104916
Variance50575689
MonotonicityNot monotonic
2023-12-10T22:57:17.581604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4447 19
19.0%
22817 18
18.0%
18119 11
11.0%
9997 7
 
7.0%
7452 6
 
6.0%
14151 6
 
6.0%
11177 6
 
6.0%
4403 5
 
5.0%
7621 5
 
5.0%
6973 4
 
4.0%
Other values (6) 13
13.0%
ValueCountFrequency (%)
2031 2
 
2.0%
2752 3
 
3.0%
3505 3
 
3.0%
4403 5
 
5.0%
4447 19
19.0%
5157 2
 
2.0%
6942 1
 
1.0%
6973 4
 
4.0%
7452 6
 
6.0%
7621 5
 
5.0%
ValueCountFrequency (%)
22817 18
18.0%
18119 11
11.0%
14151 6
 
6.0%
11177 6
 
6.0%
9997 7
 
7.0%
7824 2
 
2.0%
7621 5
 
5.0%
7452 6
 
6.0%
6973 4
 
4.0%
6942 1
 
1.0%

FEMALE_CO
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10767.54
Minimum1968
Maximum21678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:17.734750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1968
5-th percentile3699.9
Q14157
median8285.5
Q317333
95-th percentile21678
Maximum21678
Range19710
Interquartile range (IQR)13176

Descriptive statistics

Standard deviation6748.1008
Coefficient of variation (CV)0.62670775
Kurtosis-1.2328189
Mean10767.54
Median Absolute Deviation (MAD)4128.5
Skewness0.49438804
Sum1076754
Variance45536864
MonotonicityNot monotonic
2023-12-10T22:57:17.974247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4157 19
19.0%
21678 18
18.0%
17333 11
11.0%
9720 7
 
7.0%
7113 6
 
6.0%
14156 6
 
6.0%
12152 6
 
6.0%
4244 5
 
5.0%
8244 5
 
5.0%
7449 4
 
4.0%
Other values (6) 13
13.0%
ValueCountFrequency (%)
1968 2
 
2.0%
2539 3
 
3.0%
3761 3
 
3.0%
4157 19
19.0%
4244 5
 
5.0%
4634 2
 
2.0%
7113 6
 
6.0%
7344 1
 
1.0%
7449 4
 
4.0%
8244 5
 
5.0%
ValueCountFrequency (%)
21678 18
18.0%
17333 11
11.0%
14156 6
 
6.0%
12152 6
 
6.0%
9720 7
 
7.0%
8327 2
 
2.0%
8244 5
 
5.0%
7449 4
 
4.0%
7344 1
 
1.0%
7113 6
 
6.0%

REGIST_DE
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-12-08 00:00:00
Maximum2020-12-08 00:00:00
2023-12-10T22:57:18.227505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:18.410561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

OPERTOR_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KEDSYS
100 

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 100
100.0%

Length

2023-12-10T22:57:18.694914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:18.995448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kedsys 100
100.0%

Sample

STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMENTRPRS_SCALEENTRPRS_SCALE_NMPDSMLPZ_SCTN_CODEPDSMLPZ_SCTN_NMTOT_ENTRPRS_COEMPLY_COEMPLY_AVRG_COEMPYMN_MAN_COEMPYMN_MAN_AVRG_CORETIRER_CORETIRER_AVRG_COWAGE_AVRG_AMPOPLTN_COAGRDE_COMALE_COFEMALE_COREGIST_DEOPERTOR_NM
02016-01경기광명시하안1동CC10제조업식료품 제조업4소기업01년 미만199.099.011.025333333.028307984514151141562020-12-08KEDSYS
12016-01경기광명시하안1동FF41건설업종합 건설업4소기업3030년 이상 40년 미만122.000.000.00.028307984514151141562020-12-08KEDSYS
22016-01경기광명시하안1동FF42건설업전문직별 공사업4소기업1010년 이상 20년 미만3196.3300.000.023827052.028307984514151141562020-12-08KEDSYS
32016-01경기광명시하안1동GG45도매 및 소매업자동차 및 부품 판매업4소기업3030년 이상 40년 미만155.000.000.030949333.028307984514151141562020-12-08KEDSYS
42016-01경기광명시하안1동HH52운수 및 창고업창고 및 운송관련 서비스업4소기업1010년 이상 20년 미만11212.000.000.025598667.028307984514151141562020-12-08KEDSYS
52016-01경기광명시하안1동NN76사업시설 관리; 사업 지원 및 임대 서비스업임대업; 부동산 제외3중기업11년 이상 2년 미만11919.000.000.019698947.028307984514151141562020-12-08KEDSYS
62016-01경기광명시하안2동CC10제조업식료품 제조업4소기업22년 이상 5년 미만144.000.000.012272667.0161516698782483272020-12-08KEDSYS
72016-01경기광명시하안2동JJ58정보통신업출판업4소기업22년 이상 5년 미만11313.022.000.031013949.0161516698782483272020-12-08KEDSYS
82016-01경기광명시하안3동CC22제조업고무 및 플라스틱제품 제조업4소기업1010년 이상 20년 미만13131.066.000.024386667.023329893611177121522020-12-08KEDSYS
92016-01경기광명시하안3동CC28제조업전기장비 제조업3중기업2020년 이상 30년 미만15959.000.033.030736497.023329893611177121522020-12-08KEDSYS
STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMENTRPRS_SCALEENTRPRS_SCALE_NMPDSMLPZ_SCTN_CODEPDSMLPZ_SCTN_NMTOT_ENTRPRS_COEMPLY_COEMPLY_AVRG_COEMPYMN_MAN_COEMPYMN_MAN_AVRG_CORETIRER_CORETIRER_AVRG_COWAGE_AVRG_AMPOPLTN_COAGRDE_COMALE_COFEMALE_COREGIST_DEOPERTOR_NM
902016-01경기과천시과천동NN76사업시설 관리; 사업 지원 및 임대 서비스업임대업; 부동산 제외4소기업1010년 이상 20년 미만177.000.000.029936381.086043878444741572020-12-08KEDSYS
912016-01경기과천시과천동SS94협회 및 단체; 수리 및 기타 개인 서비스업협회 및 단체4소기업2020년 이상 30년 미만177.000.000.042493333.086043878444741572020-12-08KEDSYS
922016-01경기과천시문원동GG46도매 및 소매업도매 및 상품 중개업4소기업01년 미만263.000.000.016469600.072662780350537612020-12-08KEDSYS
932016-01경기과천시문원동II55숙박 및 음식점업숙박업4소기업2020년 이상 30년 미만13030.022.033.026608089.072662780350537612020-12-08KEDSYS
942016-01경기과천시문원동SS94협회 및 단체; 수리 및 기타 개인 서비스업협회 및 단체4소기업2020년 이상 30년 미만177.000.000.023880000.072662780350537612020-12-08KEDSYS
952016-01경기과천시별양동CC21제조업의료용 물질 및 의약품 제조업4소기업1010년 이상 20년 미만133.000.000.03535111.0158655301762182442020-12-08KEDSYS
962016-01경기과천시별양동FF41건설업종합 건설업2중견기업1010년 이상 20년 미만1451451.099.044.038804553.0158655301762182442020-12-08KEDSYS
972016-01경기과천시별양동FF42건설업전문직별 공사업4소기업22년 이상 5년 미만382.6700.020.675178133.33158655301762182442020-12-08KEDSYS
982016-01경기과천시별양동GG47도매 및 소매업소매업; 자동차 제외2중견기업1010년 이상 20년 미만13939.011.022.028007248.0158655301762182442020-12-08KEDSYS
992016-01경기과천시별양동KK64금융 및 보험업금융업1대기업5050년 이상 60년 미만19090.044.011.047816326.0158655301762182442020-12-08KEDSYS