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 13:24:34.458534
Analysis finished2023-12-10 13:24:35.524781
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
2021-03-03
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T22:24:35.629203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:35.770787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-03 100
100.0%

행정동코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0546196 × 109
Minimum1.171055 × 109
Maximum2.641061 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:24:35.979246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.171055 × 109
5-th percentile1.171058 × 109
Q11.1740548 × 109
median2.6140525 × 109
Q32.6178142 × 109
95-th percentile2.623061 × 109
Maximum2.641061 × 109
Range1.470006 × 109
Interquartile range (IQR)1.4437595 × 109

Descriptive statistics

Standard deviation7.0895321 × 108
Coefficient of variation (CV)0.34505327
Kurtosis-1.8271301
Mean2.0546196 × 109
Median Absolute Deviation (MAD)9001000
Skewness-0.45776156
Sum2.0546196 × 1011
Variance5.0261465 × 1017
MonotonicityNot monotonic
2023-12-10T22:24:36.364406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1171056100 1
 
1.0%
2617056000 1
 
1.0%
2620053000 1
 
1.0%
2617068000 1
 
1.0%
2617067000 1
 
1.0%
2617066000 1
 
1.0%
2617065000 1
 
1.0%
2617064000 1
 
1.0%
2617061000 1
 
1.0%
2617060000 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1171055000 1
1.0%
1171056100 1
1.0%
1171056200 1
1.0%
1171056600 1
1.0%
1171057000 1
1.0%
1171058000 1
1.0%
1171059000 1
1.0%
1171060000 1
1.0%
1171061000 1
1.0%
1171062000 1
1.0%
ValueCountFrequency (%)
2641061000 1
1.0%
2641060000 1
1.0%
2641059100 1
1.0%
2641059000 1
1.0%
2623062000 1
1.0%
2623061000 1
1.0%
2623060000 1
1.0%
2623057000 1
1.0%
2623056000 1
1.0%
2623055000 1
1.0%

주소
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:24:36.940818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.56
Min length10

Characters and Unicode

Total characters1156
Distinct characters86
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 row서울특별시송파구방이1동
2nd row서울특별시송파구방이2동
3rd row서울특별시송파구오륜동
4th row서울특별시송파구오금동
5th row서울특별시송파구송파1동
ValueCountFrequency (%)
서울특별시송파구방이1동 1
 
1.0%
부산광역시동구초량3동 1
 
1.0%
부산광역시동구범일5동 1
 
1.0%
부산광역시동구범일4동 1
 
1.0%
부산광역시동구범일2동 1
 
1.0%
부산광역시동구범일1동 1
 
1.0%
부산광역시동구좌천4동 1
 
1.0%
부산광역시동구좌천1동 1
 
1.0%
부산광역시동구수정5동 1
 
1.0%
부산광역시동구수정4동 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:24:37.586852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 139
 
12.0%
구 100
 
8.7%
시 100
 
8.7%
부 79
 
6.8%
산 71
 
6.1%
광 63
 
5.4%
역 61
 
5.3%
서 55
 
4.8%
특 39
 
3.4%
울 39
 
3.4%
Other values (76) 410
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1083
93.7%
Decimal Number 73
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
12.8%
구 100
 
9.2%
시 100
 
9.2%
부 79
 
7.3%
산 71
 
6.6%
광 63
 
5.8%
역 61
 
5.6%
서 55
 
5.1%
특 39
 
3.6%
울 39
 
3.6%
Other values (69) 337
31.1%
Decimal Number
ValueCountFrequency (%)
1 26
35.6%
2 26
35.6%
3 10
 
13.7%
4 6
 
8.2%
5 2
 
2.7%
6 2
 
2.7%
7 1
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1083
93.7%
Common 73
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
12.8%
구 100
 
9.2%
시 100
 
9.2%
부 79
 
7.3%
산 71
 
6.6%
광 63
 
5.8%
역 61
 
5.6%
서 55
 
5.1%
특 39
 
3.6%
울 39
 
3.6%
Other values (69) 337
31.1%
Common
ValueCountFrequency (%)
1 26
35.6%
2 26
35.6%
3 10
 
13.7%
4 6
 
8.2%
5 2
 
2.7%
6 2
 
2.7%
7 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1083
93.7%
ASCII 73
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 139
12.8%
구 100
 
9.2%
시 100
 
9.2%
부 79
 
7.3%
산 71
 
6.6%
광 63
 
5.8%
역 61
 
5.6%
서 55
 
5.1%
특 39
 
3.6%
울 39
 
3.6%
Other values (69) 337
31.1%
ASCII
ValueCountFrequency (%)
1 26
35.6%
2 26
35.6%
3 10
 
13.7%
4 6
 
8.2%
5 2
 
2.7%
6 2
 
2.7%
7 1
 
1.4%

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

2023-12-10T22:24:37.836778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:37.974026image/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

2023-12-10T22:24:38.143538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:38.302023image/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

2023-12-10T22:24:38.455924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:38.631643image/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

2023-12-10T22:24:38.805005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:38.961941image/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

2023-12-10T22:24:39.112173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:39.262617image/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
2021-03-03
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T22:24:39.444800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:24:39.607432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-03 100
100.0%

Interactions

2023-12-10T22:24:34.914731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:24:39.686173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드주소
행정동코드1.0001.000
주소1.0001.000

Missing values

2023-12-10T22:24:35.171864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:24:35.413544image/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
02021-03-031171056100서울특별시송파구방이1동수원정상정상정상정상2021-03-03
12021-03-031171056200서울특별시송파구방이2동수원정상정상정상정상2021-03-03
22021-03-031171056600서울특별시송파구오륜동수원정상정상정상정상2021-03-03
32021-03-031171057000서울특별시송파구오금동수원정상정상정상정상2021-03-03
42021-03-031171058000서울특별시송파구송파1동수원정상정상정상정상2021-03-03
52021-03-031171059000서울특별시송파구송파2동수원정상정상정상정상2021-03-03
62021-03-031171060000서울특별시송파구석촌동수원정상정상정상정상2021-03-03
72021-03-031171061000서울특별시송파구삼전동수원정상정상정상정상2021-03-03
82021-03-031171062000서울특별시송파구가락본동수원정상정상정상정상2021-03-03
92021-03-031171063100서울특별시송파구가락1동수원정상정상정상정상2021-03-03
전망주행정동코드주소수원_취수구분전망1주전망2주전망3주전망4주등록일자
902021-03-032623056000부산광역시부산진구양정1동수원정상정상정상정상2021-03-03
912021-03-032623057000부산광역시부산진구양정2동수원정상정상정상정상2021-03-03
922021-03-032623060000부산광역시부산진구전포1동수원정상정상정상정상2021-03-03
932021-03-032623061000부산광역시부산진구전포2동수원정상정상정상정상2021-03-03
942021-03-032623062000부산광역시부산진구전포3동수원정상정상정상정상2021-03-03
952021-03-032641059000부산광역시금정구부곡3동수원정상정상정상정상2021-03-03
962021-03-032641059100부산광역시금정구부곡4동수원정상정상정상정상2021-03-03
972021-03-032641060000부산광역시금정구장전1동수원정상정상정상정상2021-03-03
982021-03-032641061000부산광역시금정구장전2동수원정상정상정상정상2021-03-03
992021-03-031171055000서울특별시송파구마천2동수원정상정상정상정상2021-03-03