Overview

Dataset statistics

Number of variables10
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory88.0 B

Variable types

Numeric2
Categorical7
Boolean1

Dataset

Description지방세 세목별 납세 인원 현황을 제공합니다.활용업무: 관외 납세자에 대한 부과징수 정책 수립 시 기초자료로 활용합니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15079644/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 세목명High correlation
세목명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:01:57.117184
Analysis finished2023-12-23 07:02:00.142755
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-23T07:02:00.533576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-23T07:02:00.941583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
부산광역시
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 33
100.0%

Length

2023-12-23T07:02:01.581045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:02.360560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 33
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
금정구
33 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정구 33
100.0%

Length

2023-12-23T07:02:02.946254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:03.398920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구 33
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
26410
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26410
2nd row26410
3rd row26410
4th row26410
5th row26410

Common Values

ValueCountFrequency (%)
26410 33
100.0%

Length

2023-12-23T07:02:03.811477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:04.071501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26410 33
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2022
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 33
100.0%

Length

2023-12-23T07:02:04.465808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:04.901480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 33
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (5)
13 

Length

Max length7
Median length5
Mean length4.1515152
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row등록세
2nd row등록세
3rd row레저세
4th row레저세
5th row재산세

Common Values

ValueCountFrequency (%)
재산세 4
12.1%
주민세 4
12.1%
취득세 4
12.1%
자동차세 4
12.1%
등록면허세 4
12.1%
지방소득세 4
12.1%
지역자원시설세 4
12.1%
등록세 2
6.1%
레저세 2
6.1%
지방소비세 1
 
3.0%

Length

2023-12-23T07:02:05.361194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:06.484638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 4
12.1%
주민세 4
12.1%
취득세 4
12.1%
자동차세 4
12.1%
등록면허세 4
12.1%
지방소득세 4
12.1%
지역자원시설세 4
12.1%
등록세 2
6.1%
레저세 2
6.1%
지방소비세 1
 
3.0%

납세자유형
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
법인
17 
개인
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row법인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
법인 17
51.5%
개인 16
48.5%

Length

2023-12-23T07:02:07.107613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:07.507308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 17
51.5%
개인 16
48.5%

관내_관외
Boolean

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
17 
False
16 
ValueCountFrequency (%)
True 17
51.5%
False 16
48.5%
2023-12-23T07:02:07.904386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11090.515
Minimum1
Maximum82322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-23T07:02:08.535990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q1110
median1710
Q38807
95-th percentile62667.4
Maximum82322
Range82321
Interquartile range (IQR)8697

Descriptive statistics

Standard deviation21330.771
Coefficient of variation (CV)1.9233346
Kurtosis4.4680315
Mean11090.515
Median Absolute Deviation (MAD)1672
Skewness2.3028977
Sum365987
Variance4.5500179 × 108
MonotonicityNot monotonic
2023-12-23T07:02:09.137214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 2
 
6.1%
38 1
 
3.0%
45477 1
 
3.0%
1938 1
 
3.0%
11127 1
 
3.0%
18697 1
 
3.0%
1710 1
 
3.0%
2451 1
 
3.0%
13782 1
 
3.0%
912 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
1 2
6.1%
2 1
3.0%
14 1
3.0%
29 1
3.0%
38 1
3.0%
54 1
3.0%
102 1
3.0%
110 1
3.0%
178 1
3.0%
206 1
3.0%
ValueCountFrequency (%)
82322 1
3.0%
66319 1
3.0%
60233 1
3.0%
45477 1
3.0%
30197 1
3.0%
18697 1
3.0%
13782 1
3.0%
11127 1
3.0%
8807 1
3.0%
6572 1
3.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-20
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-20
2nd row2023-12-20
3rd row2023-12-20
4th row2023-12-20
5th row2023-12-20

Common Values

ValueCountFrequency (%)
2023-12-20 33
100.0%

Length

2023-12-23T07:02:09.850247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:02:10.302494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-20 33
100.0%

Interactions

2023-12-23T07:01:58.524385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:01:57.754484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:01:58.930299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:01:58.184554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:02:10.566042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세목명납세자유형관내_관외납세자수
연번1.0000.9800.0000.0000.390
세목명0.9801.0000.0000.0000.000
납세자유형0.0000.0001.0000.0000.641
관내_관외0.0000.0000.0001.0000.367
납세자수0.3900.0000.6410.3671.000
2023-12-23T07:02:10.996854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내_관외세목명
납세자유형1.0000.0000.000
관내_관외0.0001.0000.000
세목명0.0000.0001.000
2023-12-23T07:02:11.399295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번납세자수세목명납세자유형관내_관외
연번1.000-0.0360.7100.0000.000
납세자수-0.0361.0000.0000.4310.235
세목명0.7100.0001.0000.0000.000
납세자유형0.0000.4310.0001.0000.000
관내_관외0.0000.2350.0000.0001.000

Missing values

2023-12-23T07:01:59.405578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:01:59.985238image/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

연번시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수데이터기준일
01부산광역시금정구264102022등록세개인N382023-12-20
12부산광역시금정구264102022등록세개인Y292023-12-20
23부산광역시금정구264102022레저세법인N22023-12-20
34부산광역시금정구264102022레저세법인Y12023-12-20
45부산광역시금정구264102022재산세개인N301972023-12-20
56부산광역시금정구264102022재산세개인Y663192023-12-20
67부산광역시금정구264102022재산세법인N8222023-12-20
78부산광역시금정구264102022재산세법인Y8902023-12-20
89부산광역시금정구264102022주민세개인N88072023-12-20
910부산광역시금정구264102022주민세개인Y823222023-12-20
연번시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수데이터기준일
2324부산광역시금정구264102022등록면허세법인Y24512023-12-20
2425부산광역시금정구264102022지방소득세개인N137822023-12-20
2526부산광역시금정구264102022지방소득세개인Y454772023-12-20
2627부산광역시금정구264102022지방소득세법인N9122023-12-20
2728부산광역시금정구264102022지방소득세법인Y26822023-12-20
2829부산광역시금정구264102022지방소비세법인Y12023-12-20
2930부산광역시금정구264102022지역자원시설세개인N542023-12-20
3031부산광역시금정구264102022지역자원시설세개인Y1022023-12-20
3132부산광역시금정구264102022지역자원시설세법인N142023-12-20
3233부산광역시금정구264102022지역자원시설세법인Y1102023-12-20