Overview

Dataset statistics

Number of variables5
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory45.6 B

Variable types

DateTime1
Categorical3
Text1

Dataset

Description샘플 데이터
Author경기도경제과학진흥원
URLhttps://www.bigdata-region.kr/#/dataset/b6563deb-e16e-458d-86c2-aabef53c196e

Alerts

일반일간결제일자 has constant value ""Constant
시도명 has constant value ""Constant
총결제금액 has constant value ""Constant
동명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:46:14.100182
Analysis finished2023-12-10 13:46:14.641848
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일반일간결제일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2019-03-02 00:00:00
Maximum2019-03-02 00:00:00
2023-12-10T22:46:14.726828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:14.910820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
경기도
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 29
100.0%

Length

2023-12-10T22:46:15.138160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:15.299541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 29
100.0%

시군구명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
고양시 덕양구
23 
가평군
6 

Length

Max length7
Median length7
Mean length6.1724138
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 덕양구 23
79.3%
가평군 6
 
20.7%

Length

2023-12-10T22:46:15.554995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:16.215946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 23
44.2%
덕양구 23
44.2%
가평군 6
 
11.5%

동명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:46:16.981268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9310345
Min length2

Characters and Unicode

Total characters85
Distinct characters46
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

Unique29 ?
Unique (%)100.0%

Sample

1st row가평읍
2nd row북면
3rd row상면
4th row설악면
5th row조종면
ValueCountFrequency (%)
가평읍 1
 
3.4%
삼송동 1
 
3.4%
행신동 1
 
3.4%
토당동 1
 
3.4%
지축동 1
 
3.4%
주교동 1
 
3.4%
원흥동 1
 
3.4%
원당동 1
 
3.4%
용두동 1
 
3.4%
오금동 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T22:46:17.676830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
29.4%
면 5
 
5.9%
평 3
 
3.5%
신 3
 
3.5%
원 3
 
3.5%
대 2
 
2.4%
당 2
 
2.4%
유 2
 
2.4%
내 2
 
2.4%
산 2
 
2.4%
Other values (36) 36
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
29.4%
면 5
 
5.9%
평 3
 
3.5%
신 3
 
3.5%
원 3
 
3.5%
대 2
 
2.4%
당 2
 
2.4%
유 2
 
2.4%
내 2
 
2.4%
산 2
 
2.4%
Other values (36) 36
42.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
29.4%
면 5
 
5.9%
평 3
 
3.5%
신 3
 
3.5%
원 3
 
3.5%
대 2
 
2.4%
당 2
 
2.4%
유 2
 
2.4%
내 2
 
2.4%
산 2
 
2.4%
Other values (36) 36
42.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
29.4%
면 5
 
5.9%
평 3
 
3.5%
신 3
 
3.5%
원 3
 
3.5%
대 2
 
2.4%
당 2
 
2.4%
유 2
 
2.4%
내 2
 
2.4%
산 2
 
2.4%
Other values (36) 36
42.4%

총결제금액
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

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 29
100.0%

Length

2023-12-10T22:46:17.971251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:18.104203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

Correlations

2023-12-10T22:46:18.196496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명동명
시군구명1.0001.000
동명1.0001.000

Missing values

2023-12-10T22:46:14.370317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:46:14.571911image/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

일반일간결제일자시도명시군구명동명총결제금액
02019-03-02경기도가평군가평읍0
12019-03-02경기도가평군북면0
22019-03-02경기도가평군상면0
32019-03-02경기도가평군설악면0
42019-03-02경기도가평군조종면0
52019-03-02경기도가평군청평면0
62019-03-02경기도고양시 덕양구고양동0
72019-03-02경기도고양시 덕양구관산동0
82019-03-02경기도고양시 덕양구내유동0
92019-03-02경기도고양시 덕양구대자동0
일반일간결제일자시도명시군구명동명총결제금액
192019-03-02경기도고양시 덕양구신평동0
202019-03-02경기도고양시 덕양구오금동0
212019-03-02경기도고양시 덕양구용두동0
222019-03-02경기도고양시 덕양구원당동0
232019-03-02경기도고양시 덕양구원흥동0
242019-03-02경기도고양시 덕양구주교동0
252019-03-02경기도고양시 덕양구지축동0
262019-03-02경기도고양시 덕양구토당동0
272019-03-02경기도고양시 덕양구행신동0
282019-03-02경기도고양시 덕양구향동동0