Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory74.3 B

Variable types

Categorical7
Numeric1
Text1

Alerts

전망주 has constant value ""Constant
수원_취수구분 has constant value ""Constant
전망1주 has constant value ""Constant
전망2주 has constant value ""Constant
전망3주 has constant value ""Constant
전망4주 has constant value ""Constant
등록일자 has constant value ""Constant
행정동코드 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:24:41.327020
Analysis finished2023-12-10 13:24:42.395751
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전망주
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021-02-03
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-03
2nd row2021-02-03
3rd row2021-02-03
4th row2021-02-03
5th row2021-02-03

Common Values

ValueCountFrequency (%)
2021-02-03 100
100.0%

Length

2023-12-10T22:24:42.506431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:42.695177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-03 100
100.0%

행정동코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5224692 × 109
Minimum4.511366 × 109
Maximum4.689039 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:24:42.956219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.511366 × 109
5-th percentile4.513034 × 109
Q14.5130703 × 109
median4.5140615 × 109
Q34.5180538 × 109
95-th percentile4.519046 × 109
Maximum4.689039 × 109
Range1.77673 × 108
Interquartile range (IQR)4983475

Descriptive statistics

Standard deviation34258822
Coefficient of variation (CV)0.0075752471
Kurtosis20.899763
Mean4.5224692 × 109
Median Absolute Deviation (MAD)1026000
Skewness4.7274435
Sum4.5224692 × 1011
Variance1.1736669 × 1015
MonotonicityNot monotonic
2023-12-10T22:24:43.200108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4513025000 1
 
1.0%
4518038000 1
 
1.0%
4518054500 1
 
1.0%
4518053500 1
 
1.0%
4518052000 1
 
1.0%
4518051000 1
 
1.0%
4518044000 1
 
1.0%
4518043000 1
 
1.0%
4518042000 1
 
1.0%
4518041000 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
4511366000 1
1.0%
4513025000 1
1.0%
4513031000 1
1.0%
4513032000 1
1.0%
4513033000 1
1.0%
4513034000 1
1.0%
4513035000 1
1.0%
4513036000 1
1.0%
4513037000 1
1.0%
4513038000 1
1.0%
ValueCountFrequency (%)
4689039000 1
1.0%
4689038000 1
1.0%
4689037000 1
1.0%
4689036000 1
1.0%
4519047000 1
1.0%
4519046000 1
1.0%
4519045000 1
1.0%
4519042000 1
1.0%
4519041000 1
1.0%
4519040000 1
1.0%

주소
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:24:43.636662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.07
Min length9

Characters and Unicode

Total characters1007
Distinct characters112
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

Unique100 ?
Unique (%)100.0%

Sample

1st row전라북도군산시옥구읍
2nd row전라북도군산시옥산면
3rd row전라북도군산시회현면
4th row전라북도군산시임피면
5th row전라북도군산시서수면
ValueCountFrequency (%)
전라북도군산시옥구읍 1
 
1.0%
전라북도정읍시덕천면 1
 
1.0%
전라북도정읍시내장상동 1
 
1.0%
전라북도정읍시장명동 1
 
1.0%
전라북도정읍시수성동 1
 
1.0%
전라북도정읍시산외면 1
 
1.0%
전라북도정읍시산내면 1
 
1.0%
전라북도정읍시칠보면 1
 
1.0%
전라북도정읍시옹동면 1
 
1.0%
전라북도정읍시감곡면 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:24:44.406597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 105
 
10.4%
전 101
 
10.0%
라 101
 
10.0%
북 97
 
9.6%
시 97
 
9.6%
산 69
 
6.9%
면 57
 
5.7%
동 45
 
4.5%
군 31
 
3.1%
익 29
 
2.9%
Other values (102) 275
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
99.5%
Decimal Number 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 105
 
10.5%
전 101
 
10.1%
라 101
 
10.1%
북 97
 
9.7%
시 97
 
9.7%
산 69
 
6.9%
면 57
 
5.7%
동 45
 
4.5%
군 31
 
3.1%
익 29
 
2.9%
Other values (99) 270
26.9%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
3 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1002
99.5%
Common 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 105
 
10.5%
전 101
 
10.1%
라 101
 
10.1%
북 97
 
9.7%
시 97
 
9.7%
산 69
 
6.9%
면 57
 
5.7%
동 45
 
4.5%
군 31
 
3.1%
익 29
 
2.9%
Other values (99) 270
26.9%
Common
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
3 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
99.5%
ASCII 5
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 105
 
10.5%
전 101
 
10.1%
라 101
 
10.1%
북 97
 
9.7%
시 97
 
9.7%
산 69
 
6.9%
면 57
 
5.7%
동 45
 
4.5%
군 31
 
3.1%
익 29
 
2.9%
Other values (99) 270
26.9%
ASCII
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
3 1
20.0%

수원_취수구분
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원 100
100.0%

Length

2023-12-10T22:24:44.635910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:44.844009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원 100
100.0%

전망1주
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 100
100.0%

Length

2023-12-10T22:24:45.028901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:45.194806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 100
100.0%

전망2주
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 100
100.0%

Length

2023-12-10T22:24:45.402693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:45.617573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 100
100.0%

전망3주
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 100
100.0%

Length

2023-12-10T22:24:46.290905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:46.524127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 100
100.0%

전망4주
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 100
100.0%

Length

2023-12-10T22:24:46.731400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:46.955190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 100
100.0%

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021-02-03
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-03
2nd row2021-02-03
3rd row2021-02-03
4th row2021-02-03
5th row2021-02-03

Common Values

ValueCountFrequency (%)
2021-02-03 100
100.0%

Length

2023-12-10T22:24:47.147112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:47.368878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-03 100
100.0%

Interactions

2023-12-10T22:24:41.894928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:24:47.443010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드주소
행정동코드1.0001.000
주소1.0001.000

Missing values

2023-12-10T22:24:42.090490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:24:42.317155image/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

전망주행정동코드주소수원_취수구분전망1주전망2주전망3주전망4주등록일자
02021-02-034513025000전라북도군산시옥구읍수원정상정상정상정상2021-02-03
12021-02-034513031000전라북도군산시옥산면수원정상정상정상정상2021-02-03
22021-02-034513032000전라북도군산시회현면수원정상정상정상정상2021-02-03
32021-02-034513033000전라북도군산시임피면수원정상정상정상정상2021-02-03
42021-02-034513034000전라북도군산시서수면수원정상정상정상정상2021-02-03
52021-02-034513035000전라북도군산시대야면수원정상정상정상정상2021-02-03
62021-02-034513036000전라북도군산시개정면수원정상정상정상정상2021-02-03
72021-02-034513037000전라북도군산시성산면수원정상정상정상정상2021-02-03
82021-02-034513038000전라북도군산시나포면수원정상정상정상정상2021-02-03
92021-02-034513039000전라북도군산시옥도면수원정상정상정상정상2021-02-03
전망주행정동코드주소수원_취수구분전망1주전망2주전망3주전망4주등록일자
902021-02-034519041000전라북도남원시산동면수원정상정상정상정상2021-02-03
912021-02-034519042000전라북도남원시이백면수원정상정상정상정상2021-02-03
922021-02-034519045000전라북도남원시아영면수원정상정상정상정상2021-02-03
932021-02-034519046000전라북도남원시산내면수원정상정상정상정상2021-02-03
942021-02-034519047000전라북도남원시인월면수원정상정상정상정상2021-02-03
952021-02-034689036000전라남도완도군소안면수원정상정상정상정상2021-02-03
962021-02-034689037000전라남도완도군금당면수원정상정상정상정상2021-02-03
972021-02-034689038000전라남도완도군보길면수원정상정상정상정상2021-02-03
982021-02-034689039000전라남도완도군생일면수원정상정상정상정상2021-02-03
992021-02-034511366000전라북도전주시덕진구동산동수원정상정상정상정상2021-02-03