Overview

Dataset statistics

Number of variables31
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory271.4 B

Variable types

Categorical24
Text2
Numeric5

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/fd24d82a-1278-4c4e-8fa4-0d8b89350caa

Alerts

STDR_YM has constant value ""Constant
CTPRVN_NM has constant value ""Constant
INDUTY_LCLAS_CODE has constant value ""Constant
INDUTY_MLSFC_CODE has constant value ""Constant
INDUTY_LCLAS_NM has constant value ""Constant
INDUTY_MLSFC_NM has constant value ""Constant
LTRS_CO has constant value ""Constant
MIDPZ_CO has constant value ""Constant
TLSME_CO has constant value ""Constant
PRTC_TRGET_MIDPZ_CO has constant value ""Constant
DCS_EXCL_ENTRPRS_CO has constant value ""Constant
PRCSS_LTRS_CO has constant value ""Constant
PRCSS_MIDPZ_CO has constant value ""Constant
PRCSS_DCS_EXCL_ENTRPRS_CO has constant value ""Constant
ARRRG_SE has constant value ""Constant
REGIST_DE has constant value ""Constant
OPERTOR_NM has constant value ""Constant
MSLENTR_CO is highly imbalanced (78.9%)Imbalance
PRCSS_MSLENTR_CO is highly imbalanced (78.9%)Imbalance
ARRRG_AMOUNT is highly imbalanced (78.9%)Imbalance
ARRRG_ENTRPRS_CD is highly imbalanced (78.9%)Imbalance
SCHTWR_CO has 9 (30.0%) zerosZeros
UN_CL_ENTRPRS_CO has 7 (23.3%) zerosZeros
PRCSS_SSLENTR_CO has 5 (16.7%) zerosZeros
PRCSS_UN_CL_ENTRPRS_CO has 11 (36.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:57:54.847148
Analysis finished2023-12-10 13:57:55.444419
Duration0.6 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
2020-01
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-01
2nd row2020-01
3rd row2020-01
4th row2020-01
5th row2020-01

Common Values

ValueCountFrequency (%)
2020-01 30
100.0%

Length

2023-12-10T22:57:55.537327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:55.682794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-01 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

2023-12-10T22:57:55.844160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:55.987553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 30
100.0%

SIGNGU_NM
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:57:56.200369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0333333
Min length3

Characters and Unicode

Total characters91
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)23.3%

Sample

1st row광주시
2nd row남양주시
3rd row양주시
4th row파주시
5th row하남시
ValueCountFrequency (%)
광주시 4
13.3%
김포시 4
13.3%
안성시 4
13.3%
부천시 3
10.0%
파주시 2
 
6.7%
하남시 2
 
6.7%
포천시 2
 
6.7%
화성시 2
 
6.7%
남양주시 1
 
3.3%
양주시 1
 
3.3%
Other values (5) 5
16.7%
2023-12-10T22:57:56.668547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 30
33.0%
주 9
 
9.9%
천 7
 
7.7%
포 6
 
6.6%
성 6
 
6.6%
광 4
 
4.4%
김 4
 
4.4%
안 4
 
4.4%
부 3
 
3.3%
남 3
 
3.3%
Other values (11) 15
16.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
33.0%
주 9
 
9.9%
천 7
 
7.7%
포 6
 
6.6%
성 6
 
6.6%
광 4
 
4.4%
김 4
 
4.4%
안 4
 
4.4%
부 3
 
3.3%
남 3
 
3.3%
Other values (11) 15
16.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
33.0%
주 9
 
9.9%
천 7
 
7.7%
포 6
 
6.6%
성 6
 
6.6%
광 4
 
4.4%
김 4
 
4.4%
안 4
 
4.4%
부 3
 
3.3%
남 3
 
3.3%
Other values (11) 15
16.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 30
33.0%
주 9
 
9.9%
천 7
 
7.7%
포 6
 
6.6%
성 6
 
6.6%
광 4
 
4.4%
김 4
 
4.4%
안 4
 
4.4%
부 3
 
3.3%
남 3
 
3.3%
Other values (11) 15
16.5%

ADSTRD_NM
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:57:57.017999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0666667
Min length2

Characters and Unicode

Total characters92
Distinct characters47
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

Unique26 ?
Unique (%)86.7%

Sample

1st row곤지암읍
2nd row수동면
3rd row남면
4th row금촌2동
5th row미사1동
ValueCountFrequency (%)
월곶면 2
 
6.7%
초월읍 2
 
6.7%
곤지암읍 1
 
3.3%
천현동 1
 
3.3%
상동 1
 
3.3%
풍무동 1
 
3.3%
과천동 1
 
3.3%
마도면 1
 
3.3%
내촌면 1
 
3.3%
운정1동 1
 
3.3%
Other values (18) 18
60.0%
2023-12-10T22:57:57.555319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 16
 
17.4%
동 12
 
13.0%
천 4
 
4.3%
월 4
 
4.3%
읍 3
 
3.3%
남 3
 
3.3%
촌 3
 
3.3%
곶 3
 
3.3%
정 2
 
2.2%
초 2
 
2.2%
Other values (37) 40
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
96.7%
Decimal Number 3
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 16
18.0%
동 12
 
13.5%
천 4
 
4.5%
월 4
 
4.5%
읍 3
 
3.4%
남 3
 
3.4%
촌 3
 
3.4%
곶 3
 
3.4%
정 2
 
2.2%
초 2
 
2.2%
Other values (35) 37
41.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
96.7%
Common 3
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 16
18.0%
동 12
 
13.5%
천 4
 
4.5%
월 4
 
4.5%
읍 3
 
3.4%
남 3
 
3.4%
촌 3
 
3.4%
곶 3
 
3.4%
정 2
 
2.2%
초 2
 
2.2%
Other values (35) 37
41.6%
Common
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
96.7%
ASCII 3
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 16
18.0%
동 12
 
13.5%
천 4
 
4.5%
월 4
 
4.5%
읍 3
 
3.4%
남 3
 
3.4%
촌 3
 
3.4%
곶 3
 
3.4%
정 2
 
2.2%
초 2
 
2.2%
Other values (35) 37
41.6%
ASCII
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%

INDUTY_LCLAS_CODE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
C 30
100.0%

Length

2023-12-10T22:57:57.784689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:57.944234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 30
100.0%

INDUTY_MLSFC_CODE
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
C33
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC33
2nd rowC33
3rd rowC33
4th rowC33
5th rowC33

Common Values

ValueCountFrequency (%)
C33 30
100.0%

Length

2023-12-10T22:57:58.139153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:58.331605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c33 30
100.0%

INDUTY_LCLAS_NM
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조업 30
100.0%

Length

2023-12-10T22:57:58.546861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:58.725413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 30
100.0%

INDUTY_MLSFC_NM
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 제품 제조업
2nd row기타 제품 제조업
3rd row기타 제품 제조업
4th row기타 제품 제조업
5th row기타 제품 제조업

Common Values

ValueCountFrequency (%)
기타 제품 제조업 30
100.0%

Length

2023-12-10T22:57:58.898684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:59.074105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 30
33.3%
제품 30
33.3%
제조업 30
33.3%

PDSMLPZ_SCTN_CODE
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2
9 
5
8 
0
5 
10
5 
1
3 

Length

Max length2
Median length1
Mean length1.1666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 9
30.0%
5 8
26.7%
0 5
16.7%
10 5
16.7%
1 3
 
10.0%

Length

2023-12-10T22:57:59.376208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:59.565398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9
30.0%
5 8
26.7%
0 5
16.7%
10 5
16.7%
1 3
 
10.0%

PDSMLPZ_SCTN_NM
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2년 이상 5년 미만
9 
5년 이상 10년 미만
8 
1년 미만
5 
10년 이상 20년 미만
5 
1년 이상 2년 미만
3 

Length

Max length13
Median length12
Mean length10.6
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년 미만
2nd row1년 미만
3rd row1년 미만
4th row1년 미만
5th row1년 미만

Common Values

ValueCountFrequency (%)
2년 이상 5년 미만 9
30.0%
5년 이상 10년 미만 8
26.7%
1년 미만 5
16.7%
10년 이상 20년 미만 5
16.7%
1년 이상 2년 미만 3
 
10.0%

Length

2023-12-10T22:57:59.817881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:00.058725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 30
27.3%
이상 25
22.7%
5년 17
15.5%
10년 13
11.8%
2년 12
 
10.9%
1년 8
 
7.3%
20년 5
 
4.5%

BSN_NRMLT_ENTRPRS_CO
Real number (ℝ)

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2333333
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:58:00.637237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile13.5
Maximum22
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7755363
Coefficient of variation (CV)1.1280794
Kurtosis7.8374573
Mean4.2333333
Median Absolute Deviation (MAD)2
Skewness2.6886504
Sum127
Variance22.805747
MonotonicityNot monotonic
2023-12-10T22:58:00.972271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 10
33.3%
5 4
 
13.3%
3 4
 
13.3%
4 3
 
10.0%
2 3
 
10.0%
6 2
 
6.7%
22 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
1 10
33.3%
2 3
 
10.0%
3 4
 
13.3%
4 3
 
10.0%
5 4
 
13.3%
6 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
18 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
22 1
 
3.3%
18 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
6 2
 
6.7%
5 4
 
13.3%
4 3
 
10.0%
3 4
 
13.3%
2 3
 
10.0%
1 10
33.3%

LTRS_CO
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

2023-12-10T22:58:01.250006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:01.409172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

MIDPZ_CO
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

2023-12-10T22:58:01.606487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:01.775407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

TLSME_CO
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

2023-12-10T22:58:01.968003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:02.125314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

PRTC_TRGET_MIDPZ_CO
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

2023-12-10T22:58:02.308372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:02.495046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

MSLENTR_CO
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
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 29
96.7%
1 1
 
3.3%

Length

2023-12-10T22:58:02.639663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:02.802727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

SSLENTR_CO
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
2
4 
1
 
2
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
2 4
 
13.3%
1 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%

Length

2023-12-10T22:58:02.987790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:03.183168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
2 4
 
13.3%
1 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%

SCHTWR_CO
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5666667
Minimum0
Maximum8
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:58:03.333447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.55
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8134238
Coefficient of variation (CV)1.1575045
Kurtosis4.4523921
Mean1.5666667
Median Absolute Deviation (MAD)1
Skewness1.8921764
Sum47
Variance3.2885057
MonotonicityNot monotonic
2023-12-10T22:58:03.607491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
33.3%
0 9
30.0%
2 5
16.7%
3 2
 
6.7%
4 2
 
6.7%
8 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 9
30.0%
1 10
33.3%
2 5
16.7%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 2
 
6.7%
2 5
16.7%
1 10
33.3%
0 9
30.0%

DCS_EXCL_ENTRPRS_CO
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

2023-12-10T22:58:03.887739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:04.051759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

UN_CL_ENTRPRS_CO
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum0
Maximum9
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:58:04.278229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q32.75
95-th percentile6.2
Maximum9
Range9
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.1655612
Coefficient of variation (CV)1.0827806
Kurtosis4.1231961
Mean2
Median Absolute Deviation (MAD)1
Skewness1.8989974
Sum60
Variance4.6896552
MonotonicityNot monotonic
2023-12-10T22:58:04.436300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 8
26.7%
0 7
23.3%
2 7
23.3%
4 3
 
10.0%
3 3
 
10.0%
9 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 7
23.3%
1 8
26.7%
2 7
23.3%
3 3
 
10.0%
4 3
 
10.0%
8 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
9 1
 
3.3%
8 1
 
3.3%
4 3
 
10.0%
3 3
 
10.0%
2 7
23.3%
1 8
26.7%
0 7
23.3%

PRCSS_LTRS_CO
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

2023-12-10T22:58:04.613469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:04.803601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

PRCSS_MIDPZ_CO
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

2023-12-10T22:58:04.963814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:05.135776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

PRCSS_MSLENTR_CO
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
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 29
96.7%
1 1
 
3.3%

Length

2023-12-10T22:58:05.403442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:05.604765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

PRCSS_SSLENTR_CO
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum0
Maximum17
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:58:05.792628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10.3
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7692037
Coefficient of variation (CV)1.2564012
Kurtosis7.0264581
Mean3
Median Absolute Deviation (MAD)1
Skewness2.5127908
Sum90
Variance14.206897
MonotonicityNot monotonic
2023-12-10T22:58:05.985234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 8
26.7%
2 6
20.0%
0 5
16.7%
4 4
13.3%
3 2
 
6.7%
5 1
 
3.3%
17 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
0 5
16.7%
1 8
26.7%
2 6
20.0%
3 2
 
6.7%
4 4
13.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
13 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
17 1
 
3.3%
13 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 4
13.3%
3 2
 
6.7%
2 6
20.0%
1 8
26.7%
0 5
16.7%

PRCSS_UN_CL_ENTRPRS_CO
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2
Minimum0
Maximum5
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:58:06.158060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3493293
Coefficient of variation (CV)1.1244411
Kurtosis1.3566605
Mean1.2
Median Absolute Deviation (MAD)1
Skewness1.3246119
Sum36
Variance1.8206897
MonotonicityNot monotonic
2023-12-10T22:58:06.326818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 11
36.7%
1 10
33.3%
2 5
16.7%
4 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 10
33.3%
2 5
16.7%
3 1
 
3.3%
4 2
 
6.7%
5 1
 
3.3%
ValueCountFrequency (%)
5 1
 
3.3%
4 2
 
6.7%
3 1
 
3.3%
2 5
16.7%
1 10
33.3%
0 11
36.7%

PRCSS_DCS_EXCL_ENTRPRS_CO
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

2023-12-10T22:58:06.505945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:06.662639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

ARRRG_SE
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원금연체 30
100.0%

Length

2023-12-10T22:58:06.851114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:07.012270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원금연체 30
100.0%

ARRRG_AMOUNT
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
844660741
 
1

Length

Max length9
Median length1
Mean length1.2666667
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
844660741 1
 
3.3%

Length

2023-12-10T22:58:07.237784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:07.454614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
844660741 1
 
3.3%

ARRRG_ENTRPRS_CD
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
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 29
96.7%
1 1
 
3.3%

Length

2023-12-10T22:58:07.612108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:07.799363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

REGIST_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-12-10
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-10
2nd row2020-12-10
3rd row2020-12-10
4th row2020-12-10
5th row2020-12-10

Common Values

ValueCountFrequency (%)
2020-12-10 30
100.0%

Length

2023-12-10T22:58:07.975207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:08.130796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-10 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

2023-12-10T22:58:08.344794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:08.509979image/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_NMPDSMLPZ_SCTN_CODEPDSMLPZ_SCTN_NMBSN_NRMLT_ENTRPRS_COLTRS_COMIDPZ_COTLSME_COPRTC_TRGET_MIDPZ_COMSLENTR_COSSLENTR_COSCHTWR_CODCS_EXCL_ENTRPRS_COUN_CL_ENTRPRS_COPRCSS_LTRS_COPRCSS_MIDPZ_COPRCSS_MSLENTR_COPRCSS_SSLENTR_COPRCSS_UN_CL_ENTRPRS_COPRCSS_DCS_EXCL_ENTRPRS_COARRRG_SEARRRG_AMOUNTARRRG_ENTRPRS_CDREGIST_DEOPERTOR_NM
02020-01경기광주시곤지암읍CC33제조업기타 제품 제조업01년 미만5000000104000500원금연체002020-12-10KEDSYS
12020-01경기남양주시수동면CC33제조업기타 제품 제조업01년 미만1000000001000010원금연체002020-12-10KEDSYS
22020-01경기양주시남면CC33제조업기타 제품 제조업01년 미만1000000001000100원금연체002020-12-10KEDSYS
32020-01경기파주시금촌2동CC33제조업기타 제품 제조업01년 미만4000001003000130원금연체002020-12-10KEDSYS
42020-01경기하남시미사1동CC33제조업기타 제품 제조업01년 미만1000000001000010원금연체002020-12-10KEDSYS
52020-01경기김포시대곶면CC33제조업기타 제품 제조업11년 이상 2년 미만4000000004000040원금연체002020-12-10KEDSYS
62020-01경기안성시양성면CC33제조업기타 제품 제조업11년 이상 2년 미만1000000100000100원금연체002020-12-10KEDSYS
72020-01경기포천시가산면CC33제조업기타 제품 제조업11년 이상 2년 미만1000000001000010원금연체002020-12-10KEDSYS
82020-01경기광주시도척면CC33제조업기타 제품 제조업22년 이상 5년 미만5000000203000320원금연체002020-12-10KEDSYS
92020-01경기김포시월곶면CC33제조업기타 제품 제조업22년 이상 5년 미만4000000202000220원금연체002020-12-10KEDSYS
STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPDSMLPZ_SCTN_CODEPDSMLPZ_SCTN_NMBSN_NRMLT_ENTRPRS_COLTRS_COMIDPZ_COTLSME_COPRTC_TRGET_MIDPZ_COMSLENTR_COSSLENTR_COSCHTWR_CODCS_EXCL_ENTRPRS_COUN_CL_ENTRPRS_COPRCSS_LTRS_COPRCSS_MIDPZ_COPRCSS_MSLENTR_COPRCSS_SSLENTR_COPRCSS_UN_CL_ENTRPRS_COPRCSS_DCS_EXCL_ENTRPRS_COARRRG_SEARRRG_AMOUNTARRRG_ENTRPRS_CDREGIST_DEOPERTOR_NM
202020-01경기안성시원곡면CC33제조업기타 제품 제조업55년 이상 10년 미만3000000102000210원금연체84466074112020-12-10KEDSYS
212020-01경기오산시남촌동CC33제조업기타 제품 제조업55년 이상 10년 미만1000000001000010원금연체002020-12-10KEDSYS
222020-01경기파주시운정1동CC33제조업기타 제품 제조업55년 이상 10년 미만7000002401000610원금연체002020-12-10KEDSYS
232020-01경기포천시내촌면CC33제조업기타 제품 제조업55년 이상 10년 미만3000002001000210원금연체002020-12-10KEDSYS
242020-01경기화성시마도면CC33제조업기타 제품 제조업55년 이상 10년 미만8000002402000710원금연체002020-12-10KEDSYS
252020-01경기과천시과천동CC33제조업기타 제품 제조업1010년 이상 20년 미만2000000200000200원금연체002020-12-10KEDSYS
262020-01경기광주시초월읍CC33제조업기타 제품 제조업1010년 이상 20년 미만180000055080001350원금연체002020-12-10KEDSYS
272020-01경기김포시풍무동CC33제조업기타 제품 제조업1010년 이상 20년 미만1000000100000100원금연체002020-12-10KEDSYS
282020-01경기부천시상동CC33제조업기타 제품 제조업1010년 이상 20년 미만5000000302000410원금연체002020-12-10KEDSYS
292020-01경기안성시대덕면CC33제조업기타 제품 제조업1010년 이상 20년 미만3000000102000120원금연체002020-12-10KEDSYS